diff --git a/actions/stimulus-response/attributes.yaml b/actions/stimulus-response/attributes.yaml index 8dde448fc..dd400ab70 100644 --- a/actions/stimulus-response/attributes.yaml +++ b/actions/stimulus-response/attributes.yaml @@ -2,6 +2,6 @@ registered: '2019-10-03T08:37:34' data: figures: figures statistics: statistics - notebook: 10-calculate-stimulus-response.ipynb - html: 10-calculate-stimulus-response.html + notebook: 20_stimulus-spike-response.ipynb + html: 20_stimulus-spike-response.html results: results.csv diff --git a/actions/stimulus-response/data/20_stimulus-spike-response.html b/actions/stimulus-response/data/20_stimulus-spike-response.html index 538a97818..bc4443bb0 100644 --- a/actions/stimulus-response/data/20_stimulus-spike-response.html +++ b/actions/stimulus-response/data/20_stimulus-spike-response.html @@ -13115,7 +13115,7 @@ div#notebook {
-
In [1]:
+
In [ ]:
%load_ext autoreload
@@ -13151,7 +13151,7 @@ div#notebook {
 import pandas as pd
 import matplotlib.pyplot as plt
 import matplotlib
-# import seaborn as sns
+import seaborn as sns
 from distutils.dir_util import copy_tree
 from neo import SpikeTrain
 import scipy
@@ -13159,7 +13159,7 @@ div#notebook {
 from tqdm.notebook import tqdm_notebook as tqdm
 tqdm.pandas()
 
-from spike_statistics.core import permutation_resampling
+from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table
 
 from spikewaveform.core import calculate_waveform_features_from_template, cluster_waveform_features
 
@@ -13170,24 +13170,6 @@ div#notebook {
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- - -
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08:27:49 [I] klustakwik KlustaKwik2 version 0.2.6
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@@ -13218,9 +13200,9 @@ div#notebook {
In [4]:
-
data_loader = dp.Data()
-actions = data_loader.actions
-project = data_loader.project
+
project_path = dp.project_path()
+project = expipe.get_project(project_path)
+actions = project.actions
@@ -13233,10 +13215,9 @@ div#notebook {
In [5]:
-
identification_action = actions['identify-neurons']
-sessions = pd.read_csv(identification_action.data_path('sessions'))
-units = pd.read_csv(identification_action.data_path('units'))
-session_units = pd.merge(sessions, units, on='action')
+
colors = ['#d95f02','#e7298a']
+labels = ['11 Hz', '30 HZ']
+queries = ['frequency==11 and stim_location=="ms"', 'frequency==30 and stim_location=="ms"']
@@ -13249,161 +13230,7 @@ div#notebook {
In [6]:
-
stim_action = actions['stimulus-response']
-stim_results = pd.read_csv(stim_action.data_path('results'))
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# lfp_results has old unit id's but correct on (action, unit_name, channel_group)
-stim_results = stim_results.drop('unit_id', axis=1)
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statistics_action = actions['calculate-statistics']
-shuffling = actions['shuffling']
-
-statistics_results = pd.read_csv(statistics_action.data_path('results'))
-statistics_results = session_units.merge(statistics_results, how='left')
-quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))
-action_columns = ['action', 'channel_group', 'unit_name']
-data = pd.merge(statistics_results, quantiles_95, on=action_columns, suffixes=("", "_threshold"))
-
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data['unit_day'] = data.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)
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data = data.merge(stim_results, how='left')
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waveform_action = actions['waveform-analysis']
-waveform_results = pd.read_csv(waveform_action.data_path('results')).drop('template', axis=1)
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data = data.merge(waveform_results, how='left')
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colors = ['#d95f02','#e7298a']
-labels = ['11 Hz', '30 HZ']
-queries = ['frequency==11', 'frequency==30']
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data.bs = data.bs.astype(bool)
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data.loc[data.eval('t_i_peak == t_i_peak and not bs'), 'ns_inhibited'] = True
-data.ns_inhibited.fillna(False, inplace=True)
-
-data.loc[data.eval('t_i_peak != t_i_peak and not bs'), 'ns_not_inhibited'] = True
-data.ns_not_inhibited.fillna(False, inplace=True)
-
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In [16]:
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query = (
-    'gridness > gridness_threshold and '
-    'information_rate > information_rate_threshold and '
-    'gridness > .2 and '
-    'average_rate < 25'
-)
-sessions_above_threshold = data.query(query)
-print("Number of sessions above threshold", len(sessions_above_threshold))
-print("Number of animals", len(sessions_above_threshold.groupby(['entity'])))
+
data, labels, colors, queries = load_data_frames(queries, labels, colors)
@@ -13422,6 +13249,8 @@ div#notebook { 
Number of sessions above threshold 194
 Number of animals 4
+Number of individual gridcells 139
+Number of gridcell recordings 230
@@ -13432,50 +13261,15 @@ Number of animals 4
-
In [17]:
+
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-
gridcell_sessions = data[data.unit_day.isin(sessions_above_threshold.unit_day.values)]
-print("Number of gridcells", gridcell_sessions.unit_idnum.nunique())
-print("Number of gridcell recordings", len(gridcell_sessions))
-print("Number of animals", len(gridcell_sessions.groupby(['entity'])))
-
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Number of gridcells 139
-Number of gridcell recordings 231
-Number of animals 4
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In [18]:
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data.loc[:,'gridcell'] = np.nan
-data['gridcell'] = data.isin(gridcell_sessions)
-
-data.loc[data.eval('not gridcell and bs'), 'bs_not_gridcell'] = True
-data.bs_not_gridcell.fillna(False, inplace=True)
+
keys = [
+    't_i_peak',
+    't_e_peak',
+    'p_i_peak',
+    'p_e_peak',
+]
@@ -13485,207 +13279,10 @@ Number of animals 4
-
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+
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data.query('baseline and Hz11 and gridcell').head()
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...half_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibitedgridcellbs_not_gridcell
331833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2728750.6026675.945508TrueNaN1.0FalseFalseTrueFalse
341833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2264520.2748142.860048FalseNaN0.0FalseTrueTrueFalse
351833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2472660.5701043.365674TrueNaN1.0FalseFalseTrueFalse
391833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2845420.64411117.471520TrueNaN1.0FalseFalseTrueFalse
401833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2599200.5816985.891739TrueNaN1.0FalseFalseTrueFalse
-

5 rows × 60 columns

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In [20]:
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entity_date_ = data.query('stim_location=="ms"').entity_date.unique()
+
results, labels = make_paired_tables(data, keys, queries=queries, labels=labels)
@@ -13695,33 +13292,10 @@ Number of animals 4
-
In [21]:
+
In [9]:
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data = data.query('stim_location!="mecl" and stim_location!="mecr"')
-
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In [22]:
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density = True
-cumulative = True
-histtype = 'step'
-lw = 2
-bins = {
-    't_i_peak': np.arange(0, 0.02, 0.0005),
-    't_e_peak': np.arange(0, 0.03, 0.0005),
-    'p_i_peak': np.arange(0, 0.04, 0.0005),
-    'p_e_peak': np.arange(0, 0.04, 0.0005),
-}
-xlabel = {
+
xlabel = {
     't_i_peak': 's',
     't_e_peak': 's',
     'p_i_peak': 'prob',
@@ -13729,22 +13303,19 @@ Number of animals 4
 }
 
 for cell_type in ['gridcell', 'bs_not_gridcell', 'ns_inhibited', 'ns_not_inhibited']:
-    for key in bins:
-        fig = plt.figure(figsize=(3.5,2.2))
+    for key in xlabel:
+        fig = plt.figure(figsize=(3.7,2.2))
         plt.suptitle(key + ' ' + cell_type)
         legend_lines = []
-        for color, query, label in zip(colors, queries, labels):
-            data.query(query + ' and ' + cell_type)[key].hist(
-                bins=bins[key], density=density, cumulative=cumulative, lw=lw, 
-                histtype=histtype, color=color)
-            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))
+        for color, label in zip(colors, labels):
+            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))
+        sns.kdeplot(data=results[cell_type][key].loc[:,labels], cumulative=True, legend=False, palette=colors, common_norm=False)
         plt.xlabel(xlabel[key])
         plt.legend(
             handles=legend_lines,
             bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)
         plt.tight_layout()
         plt.grid(False)
-        plt.xlim(-0.001, bins[key].max() - bins[key].max()*0.02)
         despine()
         figname = f'histogram-{key}-{cell_type}'.replace(' ', '-')
         fig.savefig(
@@ -13768,22 +13339,10 @@ Number of animals 4
     

 
 
-

-
/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/lib/histograms.py:898: RuntimeWarning: invalid value encountered in true_divide
-  return n/db/n.sum(), bin_edges
-

-

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@@ -13798,7 +13357,7 @@ Number of animals 4
 
 
 

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@@ -13813,7 +13372,7 @@ Number of animals 4
 
 
 

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@@ -13903,7 +13462,7 @@ Number of animals 4
 
 
 

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@@ -13933,7 +13492,7 @@ Number of animals 4
 
 
 

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@@ -13948,7 +13507,7 @@ Number of animals 4
 
 
 

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@@ -13963,7 +13522,7 @@ Number of animals 4
 
 
 

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@@ -13978,7 +13537,7 @@ Number of animals 4
 
 
 

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@@ -13993,7 +13552,7 @@ Number of animals 4
 
 
 

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@@ -14008,7 +13567,7 @@ Number of animals 4
 
 
 

-

+

+

+
Stats

+

+

+

+

+

+
In [ ]:

+

+    

+
stats = {}
+for cell_type, result in results.items():
+    stats[cell_type], _ = make_statistics_table(result, labels, lmm_test=True, wilcoxon_test=False, ttest_ind_test=True, ttest_rel_test=True)
+

+
+    

+

+

+
 

 

 

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In [23]:

+
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+

+    

+
stats['gridcell']
+

+
+    

+

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+

+

+
In [ ]:

+

+    

+
for cell_type, stat in stats.items():
+    stat.to_latex(output_path / "statistics" / f"statistics_{cell_type}.tex")
+    stat.to_csv(output_path / "statistics" / f"statistics_{cell_type}.csv")
+

+
+    

+

+

+
+

+

+

+
In [13]:

+

+    

+
for cell_type, cell_results in results.items():
+    for key, result in cell_results.items():
+        result.to_latex(output_path / "statistics" / f"values_{cell_type}_{key}.tex")
+        result.to_csv(output_path / "statistics" / f"values_{cell_type}_{key}.csv")
+

+
+    

+

+

+
+

+

+

+

+
Plot PSTH

+

+

+

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+

+
In [14]:

 

     

 
from septum_mec.analysis.plotting import plot_bootstrap_timeseries
@@ -14034,7 +13666,7 @@ Number of animals 4
 

 

 

-
In [24]:

+
In [15]:

 

     

 
psth = pd.read_feather(output_path / 'data' / 'psth.feather')
@@ -14048,7 +13680,7 @@ Number of animals 4
 

 

 

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In [25]:

+
In [16]:

 

     

 
times = times.T.iloc[0].values
@@ -14061,7 +13693,7 @@ Number of animals 4
 

 

 

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In [26]:

+
In [17]:

 

     

 
cs = ['#993404', '#980043', '#d95f02', '#e7298a']
@@ -14084,7 +13716,8 @@ Number of animals 4
     axs[0].set_ylabel('Probability density')
     despine()
     plt.xlim(-5, 30)
-    
+for ax in axs.ravel():
+    ax.axvspan(0, 5, color='#43a2ca', alpha=.3, zorder=-5)
 figname = f'response-probability-gc-ns'
 fig.savefig(
     output_path / 'figures' / f'{figname}.png', 
@@ -14110,7 +13743,7 @@ Number of animals 4
 
 
 

-
 

-
In [27]:

+
In [18]:

 

     

 
cs = ['#d95f02', '#e7298a', '#993404', '#980043']
@@ -14146,7 +13779,8 @@ Number of animals 4
     axs[0].set_ylabel('Probability density')
     despine()
     plt.xlim(-5, 30)
-    
+for ax in axs.ravel():
+    ax.axvspan(0, 5, color='#43a2ca', alpha=.3, zorder=-5)
 figname = f'response-probability-nsi-ns'
 fig.savefig(
     output_path / 'figures' / f'{figname}.png', 
@@ -14172,7 +13806,7 @@ Number of animals 4
 
 
 

-
 

@@ -14205,7 +13839,7 @@ Number of animals 4
 

 

 

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In [28]:

+
In [19]:

 

     

 
action = project.require_action("stimulus-response")
@@ -14218,7 +13852,7 @@ Number of animals 4
 

 

 

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In [29]:

+
In [20]:

 

     

 
copy_tree(output_path, str(action.data_path()))
@@ -14234,13 +13868,63 @@ Number of animals 4
 
 

 
-    
Out[29]:

+    
Out[20]:

 
 
 
 
 

-
['/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/times.feather',
+
['/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_gridcell.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_inhibited.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_gridcell.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_inhibited.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_i_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_e_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.tex',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.csv',
+ '/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/times.feather',
  '/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/psth.feather',
  '/media/storage/expipe/septum-mec/actions/stimulus-response/data/figures/histogram-t_i_peak-gridcell-stim-mec.png',
  '/media/storage/expipe/septum-mec/actions/stimulus-response/data/figures/histogram-t_i_peak-ns_inhibited-stim-mec.png',
@@ -14324,7 +14008,7 @@ Number of animals 4
 

 

 

-
In [30]:

+
In [21]:

 

     

 
septum_mec.analysis.registration.store_notebook(action, "20_stimulus-spike-response.ipynb")
@@ -14347,6 +14031,19 @@ Number of animals 4
 

 

 
+

+

+

+
In [ ]:

+

+    

+
 
+

+
+    

+

+

+
 

     

   

diff --git a/actions/stimulus-response/data/20_stimulus-spike-response.ipynb b/actions/stimulus-response/data/20_stimulus-spike-response.ipynb
index 5575753db..d93383f03 100644
--- a/actions/stimulus-response/data/20_stimulus-spike-response.ipynb
+++ b/actions/stimulus-response/data/20_stimulus-spike-response.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,15 +14,7 @@
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "08:27:49 [I] klustakwik KlustaKwik2 version 0.2.6\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import os\n",
     "import expipe\n",
@@ -43,7 +35,7 @@
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "import matplotlib\n",
-    "# import seaborn as sns\n",
+    "import seaborn as sns\n",
     "from distutils.dir_util import copy_tree\n",
     "from neo import SpikeTrain\n",
     "import scipy\n",
@@ -51,7 +43,7 @@
     "from tqdm.notebook import tqdm_notebook as tqdm\n",
     "tqdm.pandas()\n",
     "\n",
-    "from spike_statistics.core import permutation_resampling\n",
+    "from septum_mec.analysis.statistics import load_data_frames, make_paired_tables, make_statistics_table\n",
     "\n",
     "from spikewaveform.core import calculate_waveform_features_from_template, cluster_waveform_features\n",
     "\n",
@@ -84,9 +76,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "data_loader = dp.Data()\n",
-    "actions = data_loader.actions\n",
-    "project = data_loader.project"
+    "project_path = dp.project_path()\n",
+    "project = expipe.get_project(project_path)\n",
+    "actions = project.actions"
    ]
   },
   {
@@ -95,20 +87,29 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "identification_action = actions['identify-neurons']\n",
-    "sessions = pd.read_csv(identification_action.data_path('sessions'))\n",
-    "units = pd.read_csv(identification_action.data_path('units'))\n",
-    "session_units = pd.merge(sessions, units, on='action')"
+    "colors = ['#d95f02','#e7298a']\n",
+    "labels = ['11 Hz', '30 HZ']\n",
+    "queries = ['frequency==11 and stim_location==\"ms\"', 'frequency==30 and stim_location==\"ms\"']"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of sessions above threshold 194\n",
+      "Number of animals 4\n",
+      "Number of individual gridcells 139\n",
+      "Number of gridcell recordings 230\n"
+     ]
+    }
+   ],
    "source": [
-    "stim_action = actions['stimulus-response']\n",
-    "stim_results = pd.read_csv(stim_action.data_path('results'))"
+    "data, labels, colors, queries = load_data_frames(queries, labels, colors)"
    ]
   },
   {
@@ -117,8 +118,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# lfp_results has old unit id's but correct on (action, unit_name, channel_group)\n",
-    "stim_results = stim_results.drop('unit_id', axis=1)"
+    "keys = [\n",
+    "    't_i_peak',\n",
+    "    't_e_peak',\n",
+    "    'p_i_peak',\n",
+    "    'p_e_peak',\n",
+    "]"
    ]
   },
   {
@@ -127,401 +132,19 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "statistics_action = actions['calculate-statistics']\n",
-    "shuffling = actions['shuffling']\n",
-    "\n",
-    "statistics_results = pd.read_csv(statistics_action.data_path('results'))\n",
-    "statistics_results = session_units.merge(statistics_results, how='left')\n",
-    "quantiles_95 = pd.read_csv(shuffling.data_path('quantiles_95'))\n",
-    "action_columns = ['action', 'channel_group', 'unit_name']\n",
-    "data = pd.merge(statistics_results, quantiles_95, on=action_columns, suffixes=(\"\", \"_threshold\"))"
+    "results, labels = make_paired_tables(data, keys, queries=queries, labels=labels)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 9,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "data['unit_day'] = data.apply(lambda x: str(x.unit_idnum) + '_' + x.action.split('-')[1], axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = data.merge(stim_results, how='left')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "waveform_action = actions['waveform-analysis']\n",
-    "waveform_results = pd.read_csv(waveform_action.data_path('results')).drop('template', axis=1)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = data.merge(waveform_results, how='left')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "colors = ['#d95f02','#e7298a']\n",
-    "labels = ['11 Hz', '30 HZ']\n",
-    "queries = ['frequency==11', 'frequency==30']"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data.bs = data.bs.astype(bool)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data.loc[data.eval('t_i_peak == t_i_peak and not bs'), 'ns_inhibited'] = True\n",
-    "data.ns_inhibited.fillna(False, inplace=True)\n",
-    "\n",
-    "data.loc[data.eval('t_i_peak != t_i_peak and not bs'), 'ns_not_inhibited'] = True\n",
-    "data.ns_not_inhibited.fillna(False, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of sessions above threshold 194\n",
-      "Number of animals 4\n"
-     ]
-    }
-   ],
-   "source": [
-    "query = (\n",
-    "    'gridness > gridness_threshold and '\n",
-    "    'information_rate > information_rate_threshold and '\n",
-    "    'gridness > .2 and '\n",
-    "    'average_rate < 25'\n",
-    ")\n",
-    "sessions_above_threshold = data.query(query)\n",
-    "print(\"Number of sessions above threshold\", len(sessions_above_threshold))\n",
-    "print(\"Number of animals\", len(sessions_above_threshold.groupby(['entity'])))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of gridcells 139\n",
-      "Number of gridcell recordings 231\n",
-      "Number of animals 4\n"
-     ]
-    }
-   ],
-   "source": [
-    "gridcell_sessions = data[data.unit_day.isin(sessions_above_threshold.unit_day.values)]\n",
-    "print(\"Number of gridcells\", gridcell_sessions.unit_idnum.nunique())\n",
-    "print(\"Number of gridcell recordings\", len(gridcell_sessions))\n",
-    "print(\"Number of animals\", len(gridcell_sessions.groupby(['entity'])))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data.loc[:,'gridcell'] = np.nan\n",
-    "data['gridcell'] = data.isin(gridcell_sessions)\n",
-    "\n",
-    "data.loc[data.eval('not gridcell and bs'), 'bs_not_gridcell'] = True\n",
-    "data.bs_not_gridcell.fillna(False, inplace=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
    "outputs": [
     {
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actionbaselineentityfrequencyiiisessionstim_locationstimulatedtag...half_widthpeak_to_troughaverage_firing_ratebsbs_stimbs_ctrlns_inhibitedns_not_inhibitedgridcellbs_not_gridcell
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341833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2264520.2748142.860048FalseNaN0.0FalseTrueTrueFalse
351833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2472660.5701043.365674TrueNaN1.0FalseFalseTrueFalse
391833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2845420.64411117.471520TrueNaN1.0FalseFalseTrueFalse
401833-260619-1True1833NaNTrueFalse1NaNFalsebaseline i...0.2599200.5816985.891739TrueNaN1.0FalseFalseTrueFalse
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\n",
       "text/plain": [
-       "           action  baseline  entity  frequency     i     ii  session  \\\n",
-       "33  1833-260619-1      True    1833        NaN  True  False        1   \n",
-       "34  1833-260619-1      True    1833        NaN  True  False        1   \n",
-       "35  1833-260619-1      True    1833        NaN  True  False        1   \n",
-       "39  1833-260619-1      True    1833        NaN  True  False        1   \n",
-       "40  1833-260619-1      True    1833        NaN  True  False        1   \n",
-       "\n",
-       "   stim_location  stimulated         tag  ...  half_width peak_to_trough  \\\n",
-       "33           NaN       False  baseline i  ...    0.272875       0.602667   \n",
-       "34           NaN       False  baseline i  ...    0.226452       0.274814   \n",
-       "35           NaN       False  baseline i  ...    0.247266       0.570104   \n",
-       "39           NaN       False  baseline i  ...    0.284542       0.644111   \n",
-       "40           NaN       False  baseline i  ...    0.259920       0.581698   \n",
-       "\n",
-       "    average_firing_rate     bs  bs_stim  bs_ctrl  ns_inhibited  \\\n",
-       "33             5.945508   True      NaN      1.0         False   \n",
-       "34             2.860048  False      NaN      0.0         False   \n",
-       "35             3.365674   True      NaN      1.0         False   \n",
-       "39            17.471520   True      NaN      1.0         False   \n",
-       "40             5.891739   True      NaN      1.0         False   \n",
-       "\n",
-       "   ns_not_inhibited  gridcell  bs_not_gridcell  \n",
-       "33            False      True            False  \n",
-       "34             True      True            False  \n",
-       "35            False      True            False  \n",
-       "39            False      True            False  \n",
-       "40            False      True            False  \n",
-       "\n",
-       "[5 rows x 60 columns]"
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data.query('baseline and Hz11 and gridcell').head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "entity_date_ = data.query('stim_location==\"ms\"').entity_date.unique()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data = data.query('stim_location!=\"mecl\" and stim_location!=\"mecr\"')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {
-    "scrolled": false
-   },
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/mikkel/.virtualenvs/expipe/lib/python3.6/site-packages/numpy/lib/histograms.py:898: RuntimeWarning: invalid value encountered in true_divide\n",
-      "  return n/db/n.sum(), bin_edges\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
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      "metadata": {
@@ -531,9 +154,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -543,9 +166,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
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      },
      "metadata": {
@@ -555,9 +178,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
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      "metadata": {
@@ -567,9 +190,9 @@
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     {
      "data": {
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\n",
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\n",
       "text/plain": [
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      "metadata": {
@@ -579,9 +202,9 @@
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     {
      "data": {
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\n",
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\n",
       "text/plain": [
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      },
      "metadata": {
@@ -591,9 +214,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -603,9 +226,9 @@
     },
     {
      "data": {
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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -615,9 +238,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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       ]
      },
      "metadata": {
@@ -627,9 +250,9 @@
     },
     {
      "data": {
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/81FHHXVicn6uuOKK+zK3bb311hMBVlpppZUL5VFkv55yAKEvxDGEDn53E+7wNZgQ9PavYDjddTFPiJ91uu4TQBy3vxNdE+9sTJjm9z7CpCvfJ/xP24Hj3f3M7AO4++OE0SMLCD+Cj475zSbUtIcQZs57MTut1F9NA7eZfdvMOs2sopthmNkIM/u1mb1oZkvN7L9mNjP7hgm9wSabbMIf/vAHxo8fz8CBA+nfvz99+/bl/ffL+SFf3Lbbbsttt93Gsccey5Zbbsnw4cPp27cvQ4YMYYsttmDq1KnceOONZAS2mjnwwAO5+OKLmThxIkOHDmXQoEFsuummHHPMMcyaNYtPfOITedNusskmzJo1i5/85Cdst912tLW10a9fPwYNGsS4ceM48sgjmTVrFp/+9Kc/knbw4MFcdtllTJ06lc0224yBAwfS2trKkCFDGDduHAcffDCzZs3ioIMOYsKECQA8/vjjvPpqeSPjjj32WNraQsf4q6++mnvuuaes9N11yCGHMHPmTPbdd1823HBDBg0aRN++fWlra2PChAn86Ec/4uabb2bcuHE9Wq6UuY4w7PBKQpP4B4Rgdzawqbv/udwMY0/x3QmBeBHhB8CHFm63m+wz390/F/e7EniZ0AK1hHB3vz8C49395ALHuRswwg1GHovHWkiYgGfXQmmlvlo6O2vz49TC7SFvIzS3HOrufyoz/RqEazFjgMWEno9rE5rx2gnNm92aks/Mnho7duymN95Yr/klJNu0adP461/DLZZnz57NaqutVucSScqpc5U0nZrUuOP41r9ReA7hYq4gBO1bgbXdfUvC9clphIk3zjGzTQqkFxERaTpVDdxm1t/MphOaWiqeCjMG/omEppv9kjsfuXuHu59G6KHZj3DXIhERkV6jar3KzWwsoXPDOoSm7BOAQ6lsAP+UuLw2z+Qe5xBmc9rDzAaU2WOzaSxdupQXXsh5982yrLnmmsQOaRWZO3cuixcv7lYZBg4cyOjRlbxVpKe89tprvP32R+4AWpZ+/foxduzY4juKSF7VHA62NiFo3w8c5e4Pm9mhFeaVjCudnWf7g4S5rAcR7tJ0d579mtq8efPYY4/uDwE+5ZRT+OpXv1p8xzxOOOEEHnzwweI7FrD11lszY4Ym5mpkZ5555vL+B5UaNWoU//hHzruQikiJqhm4/03oiXhT0T0LiDeKT2axylmdjONgXyXU5jeilwbuZrfs3fksK2daE6mpjqWF7h5ams6Odpa9U+yGWtlpOul8u7J7dKw0ep3iO4mkTM16lQOY2RxCcC25V7mZjaBr5qrx+SbRN7OHCRMQTIvXvSspn3qVN6Bl77zBi0ePLL6j9AotHw5ilUd+XFHakU9PVa9yaTqNOHPawIzHhX7iJ9e1BxbYBwgBOs+mMXmeFxERaUiNOHNae/FdVtCTsySJiEgZKp2Iy8yOjOmmVHDMvjFtp5lNLmH/Q+K+y8o9Vj00Yo17UcbjQnckSubPLdqd2d1zTv0Ua+Kbll40EREpVZyI64wK0k0AKroE2hs0auD+gDD5/YgC+7XFZY/fy1h63uiTn6R1cFvxHSV1inU+63hrCW99/ZoVnhv25z3oM0x3Gm1kcT6OmZQ5EZeZfY5w69Fa3jI41RoucMc71ziwOeGOVB9hZv0Is6hBmJdXmlzr4Db6DtH0p82oY8Fi5u1yUVlpVlpnFH1WLdq9RerAzPoTZrg8gTDLZanpBgA/in+NeBm3YTRc4I4eIATubQi3Y8y2NaHsS4Cq3NZSaqOzo4P2RfPLStO+KNecOyLS6CqdiMvMjDDj5tqEOTqOB44CRhVK11s1auC+kvDP3svMjnP3BVnbD4/LK3rrrGlp0b5ovoZ2ifQelU7EtU5Me29M94iZHVXDchZlZn0J91cvxXnuXtFdMCtR18BtZusShnMtdveXMzbdRrgz2HbANWa2t7v/N07OciywP+GEqvOCiPSIZ6e0tgKr1rscVbJgowvbyx3BU4pKJ+J6GdjF3W+uQZkq1UmIQ/m0EW6LCjC39sXpUu8a98WEm4ncCUxKnnT3TjP7Rnx+B2CumT1JaDYZSTihB7n7Mz1eYhGpubbrD6bP8AF5t7cMy7+tFp6d0ro38Htg9R49cO3Me3ZK61EbXdh+VTUzdffngecrSPcsDdZfyd3bge1zbTOzVeiakvsWoEfvXV7vwJ2Xu79oZuMJ1zp2Bz5GGPp1M3C6u99ez/KJSO30GT6g0TqfnQsMrXchqmh1wmuqauBuUDPMrGo3QohN6FcR+mE9A3wtBvkeU9PA7e7rFdk+qcj2N4Fj4p80iUqGdrUOLjQyUEQkr2eBYhPkrwGUetu6s4AvAPOB3dy9e7fMq0DD1rileWlol6TQoTRZUzmh13Zv8DN3v6TQDnFWt3OLZWRmPwC+BSwFvuruL1aniOVR4Jaqyh7+paFd0gw2urD9qmentM5EndN6LTPbGzglrn7b3e+qV1kUuKWqNPxLmlUMdOXdk1SagpltQ+hM3QKc5u4X1rM8mp1GREQkDzMbA1xHuHfGNcAP61si1bhFpId1dnTS+VbXvEkdCzWHkjQmM1sVuIkwZvtRYLK71/2OlArcItKjOt96n3nbn1XvYogUZGYrE2rYGwFzgC+6+3t1LVSkwC01lz38S0O7RCQFvkuYAAzgTeBcMxsE9Mux77Jiw5urSYFbak7Dv0QkhYZkPN6yyL7NMwGLiIj0bsUm4iqQbu1uHHMZoQd4qfv/CfhT1nMnEO5u1nAUuEWkpkrpjJY9N3lPz0UukiYK3CJSU6V0RmvAuclFGpbGcYuIiKSIAreIiEiKKHCLiIikiK5xi0iPU2c0kcopcItIXtk9wiuRqxe5OqOJVE6BW0Ty0vSkIo1H17hFRERSRIFbREQkRRS4RUREUkTXuEWkLNk9wiuhXuQilVPgFpGyqEe4SH2pqVxERCRFFLhFRERSRIFbREQkRRS4RUREUkSd00RkuewpTnNNVypSiJltCEwDPg+MBBYA9wNnufutBdKNAE4AvgysDSwE7gFOd/f7yyzDJOD2uLq+u88psv+FwIHAne4+KeP5O4CJ5Ry7lON1lwK3iCynKU6lO8zsC8BfgQHAYuBpYDVCMP6ymf3S3afmSLcGIUiPiekeJwTvrwC7m9m33P38nnkVK3iC0uLkeCAZavFh7YoTKHCLiEi3mVkb8GdC0L4cOMzd347b9gMuBo41s/vd/eqs5FcQgvatwD7uvtDM+gBTgVOBc8zsPnd/podeDgDu/p1i+5jZZGBGXP2Nu79a21LpGreIiFTHIcBwYA4wJQnaAO5+GXBuXD0sM1Fs1p4ILAL2c/eFMU2Hu58GXAL0A46vcfnLZmZbAX+Kq/cCx/XEcRW4RUSkGl4i1LjPdvcPcmx/PC5HZz0/JS6vdfc3c6Q7Jy73MLOGmXLPzFYF/gKsDLwBfM3da95MDmoqF5Eisqc41XSlkou7X0Fo8s5ny7h8Luv5beJydp50DwLLgEExj7srLWO1mFkLoel/XaAD+HpPNJEnFLhFerFSepFritPg9U3PaAVWrXc5qmTByKentvfEgcxsGPBd4CBCAD4tY1sfYIO4+kKu9O7+oZm9Sqipb0QDBG7gB8Cu8fGJ7n5bTx5cgVukF1Mv8tK8vukZewO/B1avd1mqZN7rm55x1Minp15VqwOY2Z7AScBYQnPyK8Dh7n5Xxm7D6YpDbxTIbj4hcLfVoKhlMbMdgJ/H1VnAL3q6DArcIiLFnQsMrXchqmh1wmuqWeAGtgbGZawPB3Yzs7vc/d34XGZTzpICeSVNQZU0/bxkZhUk+ygzW43QY74VmAtMdvfOqmReBgVuERGphd8BPwWGADsBZxB6lG9pZtu4+zKg3Ob6SoLk/wG5Ostl2pAirSmxWf9SYC1gKbC3uy+ooDzdpsAtIlLcoTRZUzlwVC0P4O7/jg/fAy4ys/uBRwkdzCYDFxKGgCX6F8gu6RG5uIKi7F3GzGmFHE+YDQ7gGHd/qIKyVIUCt4isQL3IP2rk01Oven3TM2aizmkVc3c3s5nAfsAkugL3B4Rr4CMKJE+ubc+rYRHzMrPPANPj6mXufnY9ypFQ4JZu6ezooH3R/OXr7YtyDcOUasjuAV4N6kVeuhjoCnWg6tXiuOb1gbl5xmNDuC4MYQ5z3L3DzBzYHFgvT779CM3TAM9WrcAlMrORhPHpfQhTuH6rp8uQTYFbuqV90XxePHpkvYvRK6gHuDS4hwhDu34AnJ5nn2Tylcwxzw8QAvc2wHk50mxNiFVLgEeqUtISmVkrcBmwBqF1YE93f68ny5CLZk4TEZFquCUuD4m15BWY2XqEm4YAXJ+x6cq43CvW2rMdHpdXuHtP365uOvCZ+PhQd/9XDx8/JwVuERGphjMIw7Y2BC6LNx0BwMzGA38jdDK7C7g2I91thDuDDQWuiXcKw8z6mNlxwP6EO26dRg8ys52AH8XVM9z98p48fiFqKhcRkW5z9xfN7GuEaU/3Ar4Ur1/3J8x4BuG+3Htmjn12904z+wZwJ7ADMNfMngRGEa6FdwIH9fSdwQj3FE8qt9ubWb4pWbP9wt1n1ahMgAK31MDok5+kdXDXBEetgwt1Fq2PWnT0qrVcHcmye4BXg3qRS6Xc/QYz+zjhdpw7AZsQhnDNJtzl6/xcN+KIQX88YcjV7sDHYrqbgdPd/fYeegmZMlukt8m710etUe2CZGvp7OzxSV8ahpk9NXbs2E1vvPHGehcltZa988ZHOqdtcObr9B2yWp1KVJqOBYuboqPX6rOPVA/wwlrqXQCRatM1bhERkRRR4BYREUkRBW4REZEUUec0kagWHb1qTR3JRHofBW5perl6kGuqTxFJKwVuaXqaKlREmomucYuIiKSIAreIiEiKKHCLiIikiK5xS+oVm7601KlC1UNbRNJAgVtSr5LOZ+pBLiJppaZyERGRFFHgFhERSREFbhERkRTRNW5pSsWmL1VHNBFJKwVuSZ3sXuSavlREehMFbkkdTWEqIr2ZrnGLiIikiAK3iIhIiihwi4iIpIiucUtTyO5Frl7jItKsFLil4akXuYhIFwVuaXjqRS4i0kXXuEVERFJEgVtERCRFFLhFRERSRNe4peGU0hlNvchFpLdS4JaGU0pnNPUiF5HeSk3lIiIiKaLALSIikiIK3CIiIimia9ySCuqMJiISKHBLj8ruMZ6LpjQVEclPgVt6lKYvFRHpHl3jFhERSZGq1bjNbCBwHLAvsD7wLvAw8Bt3n1VBfusBLxXZ7TF3/0S5eYuIiKRVVQK3mQ0CbgMmAB8CTwIjgJ2AncxsurufVGa2H4/LBcAzefZ5roLiioiIpFa1atxnEYL2o8Du7v4KgJkdAJwPTDeze9z972XkmQTuK9398CqVUxpQdo/xXNSLXEQk6PY1bjMbA0wGOoD9k6AN4O4zgFPj6vQys04C9xPdLaM0tqTHeKG/lj4t9S6miEhDqEbntAOAVuA+d386x/Zz4nI7M1u3jHyTwP1kdwonIiLSTKoRuLeJy9m5Nrr7q8DcuDqxlAzNbDCwQVxVjVtERCSqxjXusXH5QoF95gCjgY1KzHNzoAV4DVjNzI4FxhPK+yzwZ3e/p6LSioiIpFg1AvfqcflGgX3mx2VbiXkmzeTDgacJTfGJzwNHmtn5wGHu/mGxzMzsqTybxpRYHhERkYZQjabyZB7KJQX2SeawLHXOyiRw9wfOBcYBKxNq7ScQhpwdDPy2rJJKj+vs6KRjweKuvxzTmYqISOmqUeNup/QfAJ0l7nd3zPMRd/9DxvMvA78wsznAJcBhZnaWu+erUQPg7uNyPR9r4puWWCapgKY4FRGprmoE7kWEJu3+BfZJBuEuLiVDd78UuLTQdjM7EdgQ+DJQMHCLiIg0i2o0lb8ZlyMK7JNc255XheMlHonL9auYp4iISEOrRuBOpiNdr8A+ybZnS83UzPqZWWuBXZKyF+2cJiIi0iyq0VT+ALA7XeO5V2BmawPJxCv3FsvMzIYThpYNB/YEZubZdXxc5pr0RRpY9hSnms5URKR01ahxXxWXk8zMcmw/LC7vdPc5xTJz94XA63F1Sq59zGwvwlCupeQP7NKgsqc41XSmIiKl63bgdvfngAigy24AAA/TSURBVMsIY61nmlkyIQtmNhn4QVz9eXZaMxtjZhub2ZpZm06Jyy+Z2SlmtnJGmr2AC+Lq6e7+Wndfg4iISFpU6+5gRwMfi3//MrMnCE3do+P24/PcGey2uM9FZNSu3X2GmW0OHAtMI0y48hywBjAq7vYn4MQqlV9ERCQVqtFUjrvPJ1zjPonQAW0TQi/zO4E93f3kCvKcSpgl7VrCBC6bA/2AG4Dd3P1Qd++oRvlFRETSolo1btz9PcKtO6eXkWa9Itv/DpRzD28REZGmVpUat4iIiPQMBW4REZEUUeAWERFJEQVuERGRFFHgFhERSREFbhERkRRR4BYREUkRBW4REZEUUeAWERFJEQVuERGRFFHgFhERSREFbhERkRRR4BYREUkRBW4REZEUUeAWERFJEQVuERGRFFHgFhERSREFbhERkRRR4BYREUkRBW4REZEUUeAWERFJEQVuERGRFFHgFhERSZG+9S6ANJnOFjoWLqFj2WIAOha+X+cCiYg0FwVuqaqWZQNZsMvl9S6GiEjTUlO5iIhIiihwi4iIpIiayqUsnR0dtC+av3y9fdGbdSyNiEjvo8AtZWlfNJ8Xjx5ZVpq26w+mz/ABy9dbhg0osLeIiBSiwC0112f4APqsOrDexRARaQq6xi0iIpIiCtwiIiIpoqZy6bbRJz9J6+A2ADoWLtE4bhGRGlLglm5rHdxG3yGrASyfMU1ERGpDTeUiIiIposAtIiKSIgrcIiIiKaLALSIikiIK3CIiIimiwC0iIpIiCtwiIiIposAtIiKSIgrcIiIiKaLALSIikiIK3CIiIimiwC0iIpIiCtwiIiIposAtIiKSIgrcIiIiKaLALSIikiIK3CIiIimiwC0iIpIiCtwiIiIposAtIiKSIgrcIiIiKaLALSIikiIK3CIiIimiwC0iIpIiCtwiIiIposAtIiKSIgrcIiIiKaLALSIikiIK3CIiIinSt94FkJTrbKFj4RI6li0GoGPh+3UukIhIc1Pglm5pWTaQBbtcXu9iiIj0GmoqFxERSREFbhERkRRR4BYREUkRXeOWqmu7/mD6DB+wfL1l2IACe4uISDkUuKXq+gwfQJ9VB9a7GCIiTUmBW1bQ2dFB+6L5ebe3L3qzB0sjIiLZFLhlBe2L5vPi0SPrXQwREclDndNERERSRIFbREQkRRS4RUREUkTXuKWo0Sc/SevgtpzbOhYu0ZSnIiI9SIFbimod3EbfIavl3JbcXERERHqGmspFRERSRIFbREQkRarWVG5mA4HjgH2B9YF3gYeB37j7rArzXBf4CbAzsDrwBnAbcIq7P1ONcouIiKRJVWrcZjYI+AdwIrAB8BTwHrATcJOZnVhBngb8E/gmMBh4DOgPHAD808y+UI2yi4iIpEm1msrPAiYAjwJj3H0Ldx8NfANYBkw3sx1LzczM+gI3ACOAGcCa7r4VsCbwe0IAv9zMRlSp/CIiIqnQ7cBtZmOAyUAHsL+7v5Jsc/cZwKlxdXoZ2U4GxgIvA4e4+/sxv6XA0cDdwDDgmO6WX0REJE2qUeM+AGgF7nP3p3NsPycut4vXrEsxJS5nxGC9nLt3An+Mq18vs6wiIiKpVo3AvU1czs610d1fBebG1YnFMjOzPsDWhfIE7onLDcxsnRLLKSIiknrV6FU+Ni5fKLDPHGA0sFEJ+Y0CBhTJ8xWgnVDT3yiu18zSuTXNvqG0vzeflg8HrfBcx8IleSda6Vj4fk8US0REomoE7tXj8o0C+yQ3eM49b2bu/PLm6e7tZvY2sGqJeXZLb5vScxV+vMJ6b3v9IiKNrBqBe2BcLimwT1ItG1hgn+z8qpanmT2VZ9PGL7/8MrvuumvB9Mva3yx2CMnQut8/aGnV3D5Sf88///x17r57vcshUk3VCNztlH6tvLPE/MpRSp75dCxduvS9559/vlBb+Ji4LHQpQDK99FauZ3Ueq0fnUqQXq0bgXgQMJ4ytzie5Zl3KHSkWZTzuT/5ad8l5uvu4Eo6bU1Jb704eovNYTTqXIr1bNdozk3bkQpOhJNeh55WRX9484wQtQ8vIU0REpClUI3Anc4avV2CfZNuzxTJz99eAt4vkuQ6hR3lJeYqIiDSLagTuB+Jym1wbzWxtIJl45d4S83ywUJ7AtnE5NwZ6ERGRXqEagfuquJwUbwyS7bC4vNPd55SY55VxeZCZrVQgzwtLzE9ERKQpdDtwu/tzwGWEpuuZZpZMyIKZTQZ+EFd/np3WzMaY2cZmtmbWpksIPWY3AC4zs1Xi/iuZ2ZnA9oTm9N91t/wiIiJp0tLZ2Z3RVEG8S9ftwMcIw7meIPQ0Hx13Od7dT86Rbk7c5yJ3n5K1bSvgVkIntEXAvwiBfFVgKbCzu9/e7cKLiIikSFVmyXD3+YTr0ScROottQugRfiewZ66gXUKeDwEfB84D3oqPO4CrgQkK2iIi0htVpcYtIiIiPUPzUoqIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpEg17g7WMMxsIHAcsC+wPvAu8DDwG3efVWGe6wI/AXYGVgfeAG4DTnH3Zwqk2ww4AfgMMAz4D3AT8At3f7WSsvSkRjqXWXn0Ae4CtgP6ufuySsrSkxrpXJrZTsARwATCkM1FwGPABcAMd9cwE5EG1zTDwcxsEOGLawLwIfAk4YspmSd9urufVGaeBtwT83kbeI6uSWCWAHu4+99ypNsBuIVwW9I3gbmAAYOBhcBn3f3RMl9ij2mkc5kjn1Ppmo2v4QN3I51LM/t/wP/E1XcJsxOOAlaLz10H7OXuH5ZTHhHpWc3UVH4W4cvxUWCMu2/h7qOBbwDLgOlmtmOpmcVbh95A+HKcAazp7lsBawK/JwTly+OscZnpVgWujdtPi+m2BNYiTB4zHLg6zxzsjaIhzmVWHq1mdgZdQTstGuJcmtn+hKDdHpfD3H28u68O7E0I5LsDP+3OixWR2muKwG1mY4DJhJnV9nf3V5Jt7j4DODWuTi8j28nAWOBl4BB3fz/mtxQ4Grib0AR+TFa6ownB+X53n5bUCN39XWA/4EVC7egbZZSlxzTYuUzKtCGh1npsOa+l3hrsXE6Ny7Pd/dfu3pFRlr/QVRP/jpmtXEZ5RKSHNUXgBg4g3OTkPnd/Osf2c+Jyu3htsBRT4nJG/FJcLl4H/GNc/XqedOdlZxjzOT9PukbRSOcSMzsSeAqYCLxCuFacFg1xLmMr0Mfj6p/z5HtNXA4CNi2xLCJSB80SuJP7ds/OtTF2BpsbVycWyyx2gNq6UJ6Ea4wAG5jZOjHdmnTdWKVYuu3MrF+xstRBQ5zLDFvF5e+AzYCHih2zgTTKuVwCfAk4nHCNPZeWjMetxcoiIvXTLL3Kk1uJvlBgnzmEoLpRCfmNAgYUyfMVwvXC1pjnKxnl6AReKlAOgJUJHZQKlbkeGuVcJq4GTnL3lwBy3/K9YTXEuXT3xYTr4oXsHZcfEjq7iUiDapYa9+px+UaBfebHZVsZ+eXN093bCT16M/NM0r3j7h8UKUepZelpjXIuk23XJ0E7hRrqXOYTW4qSnu3XuvvbhfYXkfpqlsA9MC6XFNjn/ax9S8mv3DzLKUepZelpjXIum0HDn0szG0qojbcRxnT/sIRyiEgdNUvgbi9j31IGrpeTX2aelaZrJI1yLptBQ59LM2sD/g5sEfc9yN2fL/MYItLDmiVwL4rL/gX2Sa4NLi4jv3LzLKccpZalpzXKuWwGDXsuzWwsoSPbloThaofGYWEi0uCaJXC/GZd5J/Cg63rfvDLyy5tnnAhjaFaeSbpVCvQYz7zuWEpZelqjnMtm0JDn0sy2B+4ndF5bCnzd3T8yfFFEGlOzBO5kbub1CuyTbHu2WGbu/hpdHXzy5bkOXcNmkjyTcvSha0rLfOVYwoq9pxtFo5zLZtBw59LM9iE0j48AFgCfd/crix1bRBpHswTuB+Jym1wbzWxtugLpvSXm+WChPIFt43Ju/ELF3RfSNZSmWLoHYg/gRtMQ57JJNNS5NLN9gcsIQxFfArZ197tKPK6INIhmCdxXxeUkyz3Q97C4vNPd55SYZ1ILOSjPvOJJnhfmSfet7AQxn4PzpGsUjXQu065hzqWZTQAuJnzmnyAEbS/xmCLSQJoicLv7c4SaRCswM3a8AcDMJtN1Y4qfZ6c1szFmtnEcy5rpEsIkFxsAl5nZKnH/lczsTGB7QrPl77LSnQm8BexgZmcmX64x/aUxvxfj44bTYOcy1RrlXJpZKyFo9yNc997Z3V+vzqsUkZ7WTLf1HAHcDnyMMGzmCcLNPpIpSI9395NzpJsT97nI3adkbdsKuJXQ2WcR8C+6bp+4lPAFeHuOPHcjzPi1EuE64ouE23quQgjq27v7U915vbXUSOcyxzEmxbJBOm7rWfdzaWZ70VX7f5Wu2fvy+Y67P1LiSxSRHtYUNW4Ad59PuO53EqFTziaEDjh3Anvm+nIsIc+HCDdnOI8QcD9OGDpzNTAhX6Bx9xsIw2yuIEwh+QnCF+xFwCcbOWhDY53LtGuQc5k5D/ooYLsif0MRkYbVNDVuERGR3qBpatwiIiK9gQK3iIhIiihwi4iIpIgCt4iISIoocIuIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpIgCt4iISIoocIuIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpIgCt4iISIoocIuIiKRI33oXQKTWzGwU8ANgZ2A0sBR4BbgV+LW7z6lf6UREytPS2dlZ7zKI1IyZjQHuBVYH3gNejJs2AlYG3gEmufsj9SmhiEh51FQuze4XhKD9F2Cku2/u7psTat73AkOAU+pYPhGRsihwS7P7eFxe6u6Lkifd/b/Ad4GbgafrUTARkUqoqVyampldB3wJcMJ17lvc/f36lkpEpHIK3NLUzOwTwN3A4PjUB4Qm8luBm9z9sXqVTUSkEgrc0vTMbAPgh8BXgBFZm58AjnD32T1eMBGRCihwS69hZn2ATwKTgM8BnwX6AYuBjd39lfqVTkSkNArc0rTMrIXQe3ysu/89x/aNgIcIPcu/5+6/7eEiioiUTb3KpZmtCjwH3GpmW2ZvdPdngZfjamtPFkxEpFIK3NK03H0+MCuuXmBmGyfbzKyPmR0BbAZ0EIaFiYg0PDWVS1MzszWB+4F1CQH6JeAtQhN6W9xtmrufVp8SioiUR4Fbmp6ZrQ4cC+wCbEDokPZfYDbwO3e/t47FExEpiwK3iIhIiugat4iISIoocIuIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpIgCt4iISIoocIuIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpIgCt4iISIoocIuIiKSIAreIiEiKKHCLiIikiAK3iIhIiihwi4iIpIgCt4iISIr8fx2WmjoepqM4AAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -639,9 +262,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -651,9 +274,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -663,9 +286,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -675,9 +298,9 @@
     },
     {
      "data": {
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\n",
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\n",
       "text/plain": [
-       "
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+       "
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       ]
      },
      "metadata": {
@@ -687,9 +310,9 @@
     },
     {
      "data": {
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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -699,9 +322,9 @@
     },
     {
      "data": {
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\n",
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Dtis/hB0muK/GIXe439OAZ2sk3oleY0tia7Md7HMbFb/vxUG1NkxkUI1zEi6djOfm548miunEumvgkyW6Zj0TO8yyHrH7YkSHHn6tIwdAS4r+D2QAz9Q2JCQ2NXp0WZzD+v838ePrDRlS2pBdIyI71rxTRP6GzZwJ8B12Lk9DRZ//9Z57dw+NaA/nVsC9teWWEZFjsZN0wS5ljk+w9DJ24jPADWL3h6h5/hDsByDlA+2eSa6hwBcicht2Pfz92GV70RngH2EzlfntJuwkt52wKYy/FpG7sMMdnbDj62cT+4R5hTHGz3kTtfmHm8J1HHaoYTtsUqjo6oSbjTE/1DhnPPZT/yHYtLDficidwAy37XthU2lHg4i7jDGz485/EZsSOoSd3JeN/YSyHJt8aRg2e2D8J50OIhKqJ69DvFvda2wNDBOR4caY5+o5x0+PYp+DvsB57nP8BHYvjEzs5MYLia24uS6JbWuoidikYIdjl9B+6/6ev8S+Zg3B/gzRuS83G2M+rnGN+L/fse4KkErs8FpJkI1vYyqwfxefiMjt2E/9Kdjn/lzs810OjGzE/wDEnv+uInIlNp9CSdz/9CXYVOAbA2cCO4jd88Vg56ocjk26FcYGg2Pjh8rcVQ5jscFxR+BTd1n4O277D8UGChHsJOdG7fGi1qc9C8kzzf3aBpvoZAZ2A6euAEOGDOGrr74a4nalOn5+GWNKp0+fvtNuu3lD/f2Bh7Bd0W9j/3GzUlJSuOiiizDG3O13GyZOnOglpDryyCPJz88H+w89GbtWfhxuoHDOOedgjPm/Wn6OyDfffHPIoYceGr3URtjehmnYTz3X4gYKJ510Ej/++ONFNc6ffdFFF0U/wYSwG1G94db/ErbLMm3IkCEcd9xx0TrSp0yZUvN3AsBee+11QC1trHj66ae3DoVsNV27dn121apVDX6ezj33XC/V93PPPfd5Y48zxhROnjy5b48e3pSLfbFZ7KLP0Z1A39TUVC6++GKMMRP9/D1PnTrVWwUyfPjwM5tynDEm8u233x5+2GHenmabAvdgV5x8hE3Z3SU1NZVLL72Un3766cpafg/zt97aW8yyNTY19KcTJkwo9utnPfLII73u72nTpi2Ke6wtWYZ9U83Cppn/GLtnw0XYoHkVNt327DqvULuX427/Bzsc6vW0Gbu77d7E5mftin1dnI59TTgDG6iUAqcaY9ab42SMeRu7HLgMO7H4/7AbU32I3SciFTsMmSgPg2qgdhssiMiZIuKISIM3AqpxflcRuVNEfhORChFZIiIvS+INXxIpxr5wX4rt0isFqrKzs3nggQd4+OGHycmpdYjZF507d2bChAk8+OCDHHTQQfTq1YuMjAwyMjLYZJNNGD58OK+88gpjx9bMsOy/zTbbjMmTJ3PKKafQu3dv0tPT6dOnD8OGDeOVV17h/PPrzreUmZnJHXfcwZNPPsmRRx5Jnz59yMrKIj09nd69ezNs2DCefvpprr76asLh9f+8x44dyxNPPMG+++5Lt27dSE1NJSsriz59+nDggQcybtw4xo0bx8EHxzZDfPvtt9e7TiI777yzF2ysWLGCG29cb8QlUCLCW2+9xWWXXcYuu+xC586dSU1NJS8vjy222IKRI0cyefJkzjzzzKS2qzEyMjK4/fbbeeqppxg2bBgbbbQRGRkZdOjQga222ooxY8bw9ttvM3r0aKKBWU0PPfQQhx12GF27diUtLY38/HyWLw9kB/Y2zRjzIPZT/pvY+U1l2J7PWwGpK/NsPdd8AzuX4Gts4qciasyNMXar8J2xm4xNxuZfqXCP/w47tLS1MaauTeWiKZ0FuxnWD9jX1WXYCdSDjTGa7tknIcdpa4Fw/URkF2x3Wh4w2hjzaCPP74H9FLM59g/3R+yn2B7YLq0xxpgGpRGV2F7uU4wxB9Z4bE6/fv0GvPnmm41pXps0Y8YMTjnFzjW65JJLGDOmzh2klWrrNFuganfaXc+CiAwFptC8jF3PYQOFd4GNjDEDsdn6rsCOfT0kIls1s6lKKaVUm9BuggURyXTXj79HM1IVu8HGEGy32YnRmeLGmIgx5hbsEp406tj1UCmllGpv2sVqCBHph93ZbWPsMMFV2IktfZtwuVHu99fcSTg1PYRdx39EkMls5s+fT0lJ8yZtZ2dn07dvU54Ca/Xq1Sxa1PxFEZtvvnmzr6GCU1xczB9/1JqTp1H69OkT6LwbP7SG/yul2qJ2ESxg5xNsjJ1Je64x5ksRGV3POXWJJv6YVsfjM7EJRXKwqxk+aWI9CV111VXMnNm8jScHDRrEpElNn9/z/vvvc+WVVzarDQBTp05t9jVUcL7//ntvPklzTJw4kV13bUjSxZbTGv6vlGqL2sswxALgEGPM7saYRJn5EhKRMLF1/rVurmOMqSSWVnbLptallFJKtRXtcjUEgIjMww5DNHg1hIh0JZblb8e6NjgRkS+xCY6ucOcxNLWNG8xqCNV2OWWVRFaV2q/V9rtTWmm/yqtwyqqgrBKnvBqnqhqqHaiK4DgO6TtvRPYx2wXbvuoqqtcupbpoOZHStVSXrsUpK6S6dC2R0kKcyjKc6gqorsSpqoh9VdvvOBGIRHCcCDgOONHb9n5SUskbdBwddju+oU3S1RCq3WkvwxB+yY67nSiRR3SeQnaCYzwiMqeOh3QwX7UakZUlVM5ZQuWcxVT9uoLqBaupXrCGyIqmj/GXvTaHlD6dyBjUp/6D6+BEIlSt+IOKJXOpWPwzlYvnUrHkZ6pWLaR6zWKqi5bbN/kAFc9+nWzZm9TOdW5VoVS7psHCuqobeXz77JZRG4RISQUVn8+n/JPfqfhsHtUL1vhfSQjC2emNa1dZESU/fUTZL59T9vtMyn6bRaQ0gLY1QjinM6H0Bn02UK2AiJyJnYzeqDw7InIOdk+aU40x4xtZZyo2pTjAycaYJ+s5/gzsHjzVxphW/17c6huYZEVxtxPtxJflfm/QRy5jzNa13e/2OAxoWNOUaj7Hcaj8cgGlr3xP2RSDU1JZ/0muUG464U5ZhDplEc5JJ5SZSigzDTJTCWWk2nJaCoRDkBomlBImbeBGpG1TUO+1K5f9TuEXL1H83RRK534C1Q1vl9e+jBzCWR0JZ+YRzupgv2fmEs7IJpSSTig1HVLTCaWkEUpNd+9Lg3AqoVAYQiEIhSEUJhQOu7dDhFLSyNn2AFJy1tu3TLVCblK+25pw3q5Ak4eV2zsNFtZVhN00JYPY5k616eZ+Xxp4i5TygRNxKJ/6M0XjplM1Z0mdx4W7ZpO2dQGp/buT0rczqRt3JKVXR8Ldcgil+7sXT3Xxagq/eJ7Cz56idG5di49iUrtsTHrBlqQVbEF6jy1I7dqH1I4FpHbqSUqHHoQz9JP/hs7Nk/MyjUzKJyL7YfeHad1rf1uQBgtxjDERETHYHRA3qe0Yd+/16MDl3CQ1Takmq/hqAWuvf48qs2y9x0K56WQM3oyMwZuSvmsfwgV5de614JfKZfNY9c5drPn4cZzy4lqPCWd3Iqv/ELI2343MzQaRucnOhLOak5RVtWcikonNsHsVjdhhUkSysDvR/pP2szowEBosrG8GNljYndq3ix6Efd7KgMbuxKZU0kRWl1J464eUvvr9eo+l796XrKO3JXPffnYoIQkqFs9lxSvXUvjFixBZf3pQes/+5A48mpztDiRzs0GEUvTlSdWvqUn5RESwGX83wubO+Rd2W+7eQba3rdL/xvU9j/1DO0ZELjfGrKzx+Fnu9+eCyt6oVHNVzP6L1Ze8TmRx4Tr3Z/x9S3LH7EbagB51nOm/6qKVrHjtela//wBUV63zWDinCx32OIkOe4wgY5OdA+/VUO1SU5Pybeye+5l73mwROTfAdtarxiTJ+jxmjGnSrspNscEGCyLSB7v0scQYE5/rdip2x8k9gVdF5FhjzBI3YdOlwEnYX6ZOhFGtjuM4lDz+BYV3fWzzHbhSJZ8O//c30nfaKHltiURY8+E4lr90FZHiVes8lpa/GZ0PuIgOg0fpXAPVXNGkfG818rw/gIOMMf8LoE1N5WDff+rSDbslN8D84JsTs8EGC8BE7IZRHwFDo3caYxwROcW9fzAwX0S+x3ZNFWB/macaY35MeouVSsCpjrD2+vcoff6b2J2pYXLP34ucUbsQSk3ekGzlij9Y8tgZlPywbqrv1K596XbMDeTtOpxQ2N8Jk+3V3FEp2UDj1p+2ThVbjq9u3sYctTDG/AL80oTz5tLK5p0ZY6qBvWp7TETyiG1D8A7wn2S1CzbsYKFOxpjfRGRH7BjW4cC22GWS/wNuNcZ80JLtU6omp6yS1Ze9QfnU2GtmuGcHOt1xKOk7JG8I1nEc1n7yBMuevphIWWwIJJyZR5fD/kmn/c8nnJ5oVbKKN3dUyl3AebSPyXeRuaNS7t1yfPWFLd2QJJgkIr5tIOIOT7yAnU/3I3CcG1gkTbsNFowxm9Tz+NB6Hl8OXOR+KdVqORVVrDr/VSqmzfPuS9u+J50fPJpwp6y6T/RZpKKMpRPPZu20Cevcn7Pj4fQY+SCpnerPt6DWcy7tI1AA+3OcC2wIwcJcYP3lR+vqAfRr4PXuBw4AVgCHGmOSnqWs3QYLSm0InOoIqy9/c51AIWPo5nS64zBCWclZ5QBQueJPFt53DOW/z/LuC2d3ovuIu8nb/SSduNh099F+ehaqsT/PhuD6RmRwTEhE/gGMASqAo4wxv/nTxMbRYEGpNspxHNZe+w7l78SGXTMPFDreemhS5yeU/vwZC+85iurC2AeprC33ouCsp0nrrKvQmmPL8dUXzh2V8k90zsIGSUSOBW5yi2caYz5uqbZosKBUG1X8+ExKX/rOK6cP3pSONx+S1ECh6Os3WfTAcJyK2CrijvudTfcT7rDplVWzuW+w+ia7gRGR3bET8UPALY3dq8JvGiwo1QaVf/I7Rf+NfchI26k3ne8a5ntK5kTWfvYkix89zUuwFEpNp/vIB+g4+NSktUGp9khENgcmY/coehW4smVbpMGCUm1O1fxVrL7sdW/P05TeHel835FJnaOw6t37WPbUBV45nJlHrwtfI7v/kKS1Qan2SES6AG9hcyp8DYwwxrT4DscaLCjVhjgVVay+aDLO2nIAQllpdLrviKSuelg99cF1AoWUDt3pfclbZPbdMWltUKo9EpEMbE/ClsA84GBjTO0bqCSZBgtKtSGFd0+j6qfYZqcdbjiQNOmetPrXfDKepZNiGXFTu/Zlo8umkF6wRdLaoFQ7dgE2GSDAcuAREckBaus2rKovBYCfNFhQqo0onz6fkvFfeOXsE3Yg66D+Sau/cMZzLHk8lnI/tcvGbHzlB6R1S7hfj1Kq4TrE3R5Yz7FJTcoUcpwWHwrZYInInH79+g148803W7opqpWLrClj+RFPEFlSBEDKZl3o9sIpSZunUPzdFP6663BvI6iUjgVsfOWH2qNQO00qodqd9pDoQ6l2r/C/H3mBAqlhOt16aNIChfI/v2PR/cO9QCGc25WNLn9HAwWlNiAaLCjVylXM+pPSF771yrnn7pm0LaarVi/irzsP8/Z5CGXksNGlb5PRe+uk1K+Uah00WFCqFXMqqlhzzTteOVXyyTl1l6TUHSkv5q+7hlG18k97RyhMz7OeJnOTnZNSv1Kq9dBgQalWrGjcDKp/X2kLIehw3QGE0oJPvOQ4DosfGUX5vC+9+/JPvJPcHQ4NvG6lVOujwYJSrVTVX2sofnSGV84+aSfSt+uZlLpXvX0HRbNe9sqd9j+Pzvufm+AMpVR7psGCUq1U4W0fQoVdHRXOzyH3gsGJT/BJyY8fsPyFWHbZ7G32J/+EO5JSt1KqddJgQalWqHzmH+vsJpl3yRDCOcFvzFS5cgGLHjgBnAhgky71HPsUoXDy9pxQSrU+Giwo1co41REKb3rfK6dt15PMQwcEX29VJYseON7bajqUmkGv814gJbdr4HUrpVo3DRaUamVKX/2eKrPMK+dduS+hcPB5fla8ei1lv3zulbuffK+ufFBKARosKNWqOGWVFN3/mVfOPGwA6dv3Crzekh8/YOWbt3jlDoNH0XHI6YHXq5RqGzRYUKoVKXnmayKLbQIk0lLIO3+vwOusLlrB4nEjwYHknZgAACAASURBVE39nlawJd1H3BN4vUqptkODBaVaiUhhOUXjpnvl7BN2IKV3x0DrdByHxY+PpmrVX/aOlDR6jn2KcEZOoPUqpdoWDRaUaiWKn/gCZ00ZAKHsNHLH7BZ4nWs/fozir17zyt2O+Q+Zm+wUeL1KqbZFgwWlWoHq5cWUTJjllXNO3YVwl+xA66xc8QfLnrnUK2dvsz+dD7gw0DqVUm2TBgtKtQLFD0/HKa0EINQ5i+xRwe7/4DgOS54Y420QFc7uRMHpjxMK60uCUmp9+sqgVAurXlZEyYtxu0qeuVvgCZjWfvw4Jd+/65W7n3QXqZ2DX3WhlGqbNFhQqoWVTJgF5VUAhLvlkD18h0Drq1zxJ8uejQ0/5Gx/CHl7jAi0TqVU25ba0g1QakMWWV1KybNfe+WcUQMJZQT3b+k4DkvGn0mkdC1ghx96jHqIUCj4pE9KBUVEtgCuAPYHCoCVwHTgfmPMuwnO6wpcBQwDNgJWAZ8Ctxpjptd1Xh3XGgp84BY3NcbMq+f48cBI4CNjzNC4+z8EhjSm7obU11waLCjVgoqf/AqnxJ2r0DGTrIB7FdZ+8gQl303xyvkn/leHH1SbJiIHAK8AWUAJ8AOQjw0AhonI7caYy2o5rwc2MNjcPe9bbMBwJHC4iIwxxjyenJ9iHd/RsPfmHYHoLOjK4JpjabCgVAuJFFdQ8uRXXjnn5J0DnatQtXrxOqsfcrY7iA57nhJYfUoFTUS6Ac9gA4VngbHGmDXuYycCE4FLRWS6MealGqc/hw0U3gWGG2NWiUgYuAy4GXhIRD43xvyYpB8HAGPMefUdIyIjgElu8S5jzF/BtkrnLCjVYkqenY2z1s2rkJNO9knB5jdY9uwlRErXABDO6kB3HX5Qbd8ZQGdgHjAqGigAGGOeBh5xi2PjT3KHDIYARcCJxphV7jkRY8wtwJNAGvCvgNvfaCKyC/CoW/wMuDwZ9WqwoFQLcMoqKRkfy6uQfcKOhDtmBlZf8ffvUjj9Wa/c7dj/kNZlo8DqUypJfsf2LDxgjCmv5fHoMqO+Ne4f5X5/zRizvJbzHnK/HyEiWc1upU9EpAvwIpABLAOOM8YEPgQBOgyhVIsoeek7IitKbCEzleyRwe3uGKkoY+mkc71y5maD6Dh0TGD1KZUsxpjnsMMJdRnofv+5xv27u9+n1XHeTKAKyHGv8UlT2+gXEQlhh1X6ABHghGQMP0Rpz4JSSeZUVFP82EyvnH3MdqR0DW4vhpVv3kLlkl9sIRSm+8gHCIVTAqtPqZYmIp1E5BrgVOyb/i1xj4WBzdzir7Wd735aj74RbxlgUxvjH8Ah7u1rjDFTk1m59iwolWSlr8+J7SyZGibntEGB1VWxeC6r3rzZK3fa/zwy++4YWH3Kf4sH3JYNBJulKzkqCn64rCTICkTkaOA6oB+2q/5P4CxjzMdxh3Um9t63LMHlVmCHL7oF0NRGEZHBwA1u8W3gxmS3QYMFpZLIqYpQ/MgMr5x1xDakFOQFU5fjsHTiuThVFQCkdu5NtyOvC6QuFYzFA267CziP9tELHFk84LZ7C364LMgNSAYBW8eVOwOHisjHxhg3Qid+05WyBNcqreX4hvpdRJpw2vpEJB+70iMFmA+MMMY4vly8EdrDH6BSbUbZFEP1H6ttIRwi5/TgehUKZzxHyQ+xnsr8E+8knBVMYKICcy7t53U6jP15gnQvkAv0wk5iLMWuhHhfRKIfjqsbec2mvDHPwuZwSPS1tL6LuEMmT2F/ngrgWGPMyia0p9m0Z0GpJHEiDsXjYknhMg/qT2rfzoHUFakoZfnzV3jlnO0PJnfgUYHUpQJ1H+2nZ6Ea+/MExhizwL1ZDEwQkenA19hJiiOA8djlklGJliBFV0E0Zejk2EZkcEzkX9islAAXGWO+aEJbfKHBglJJUv7BL1T9HFullTNmt8DqWvW/O6la+actpKSRf+KdmlOhDSr44bILFw+47Z/onIUmMcYYEXkZOBEYSixYKMfOaeia4PToXIV6ewCCICL7ANe6xaeNMQ+0RDuiNFhQKgkcZ91ehYy/bUHaFsHMm6pavYiVcZMaO+9/Huk9+gVSlwqe+wab1DfZtsLNO7ApML+OfAlgx/nB7hmBMSYiIgbYDtikjuumYbv+Aeb61uAGEpECbP6IMDZ9dYuvdW4PXVtKtXoVn8+n8rvFXjn3zOB6FZa/9H845cUApOR1o8thrS4JnVJ++QI7P+C0BMdEEzLF5ySIzjLendoNwn6YLgNmN6eBjSUiKcDTQA9sL8jRxpjiZLahNhosKJUERQ997t1O32sT0rYuCKSesvlfs3baeK/c9YhrScnpFEhdSrUC77jfz3B7A9YhIptgN4YCeD3uoefd78e4vRM1neV+f84YU1rL40G6FtjHvT3aGPNTkuuvlQYLSgWs4ssFVM5a4JVzx9T1YaZ5HMdh2bOXgmMnb6f32oqOQ0cHUpdSrcRt2BUPWwBPuxtLASAiOwJTsBMVPwZeiztvKnZFQkfgVXcHSkQkLCKXAydhd3K8hSQSkb8D/3SLtxljnk10fDLpnAWlAlb0cGyuQtrOG5E+MJg9GYpnT6b0xw+8cv7xtxFK0X9x1X4ZY34TkeOwKZ+PAQ5z5yNkEsu8OB3ble/EneeIyCnAR8BgYL6IfA/0xs5tcIBTk73jJHAFsQ/xe4lIXemoa7rRGPN2QG0CNFhQKlCVcxZTMe13rxzUXAWnqoJlz/3DK2dv83dytjsokLqUak2MMW+IyPbYraX/DmyFnRA6Dbt75OO1bbbkBho7YpcnHg5s6573P+BWY8wHNc9Jgvje/sZ0QfbwuyE1hRwn6YmglEtE5vTr12/Am2++2dJNUQFZdcGrlL9r97BJ3boHXZ8/OZAljKum3M2yZy62hVCYvtfPJmOjbXyvRzWIrlFV7U4gcxbcZR9KbdCqflnuBQpgexWCCBSqi1aw4rV/e+WOQ0droKCU8lVQwxB/iMgU4Ang9WTtt61Ua1IUtwdEar9uZOy7RSD1rHj130RKbArpcFYHuur+D0opnwW1GiIFu5XmC8BCEblLRHYIqC6lWp2qP1ZR9lZsblTOmF0Jhf3vVahY+BOr33/QK3c57F+kdsj3vR6l1IYtqGChL3AV8DM2neb5wJci8pWInCciiVJsKtXmFT82E6rtfKCUjTuReWD/QOpZ9tzlELH74qTlb0qn/c8LpB6l1IYtkGDBGLPAGPMfY0x/7IzOh4HVwA7AXcBfIvKCiBzi7qqlVLtRvbiQ0le+98o5o3cllOr/n3nxnPco/iY2ObbbcTcTTsvwvR6llAr8jdoYM8MYcxbQEzgOeAOIAEcDk4EFInKziATz0UupJCt+bCZURQAIF+SRdfjWvtfhRKpZ9sylXjlry8HkDjza93qUUgqSmMHRGFNhjHnRGDMMu5vXxdhtRHtg18fOEZGPReSIZLVJKb9VLyui5MVvvXLOaYMIpaf4Xs+ajx+nYsF3Xjn/hNt1V0mlVGCSmpTJzdN9InAUsCOx9cjfYLNm7QXs6a6kOLY1bJ6hVGMUP/EFlFcBEO6WQ/Yx2/peR3XpWla8fLVXzttjBJmbDvS9HqWUigo8WBCRDsBw4GRgT/fuELASeAqbXesbd6etYcD9wAHA3cAZQbdPKb9EVpZQ+tw3XjnntF0IZa63t02zrXzjZqrXLgUglJ5Ft2Nu9L0OpZSKF0iw4L7xH4wNEA4FMrABQgR4D3gceNUYUxE9xxhTDbwsIkXYdJtHosGCakOKx8/CKbUpRcJdssk6bnvf66hcNo/VU+7yyp0Puoy0LsHsNaGUUlFB9Swswi6ZjA4z/AaMB8YbYxbUdZIruh2n7luh2ozI6lJKnv7KK2ePGkg4O933epa/cCVOVTkAKZ160eXgS+s5Qymlmi+oN+Ru2G1DX8IOM3zYiHMzgXHAlwG0S6lAFE/6EqfE9iqEOmaSfcKOvtdR+vNnFM583it3O+YGwhk5vtejlFI1BRUsjAWeMcYUNvZEY8xc93yl2oTI2jJKnoz1KuSMHEg4x99eBScSYdkzl3jljE12psMeJ/tah1JK1SWopZMF2DwK9RKRf4nIpIDaoVTgSp76CqfQDg2E8jLIPmkn3+sonPEsZb/N9Mr5J9xBKKz5zJRSyRHUq821wGkNPPZo7GRGpdqcSHEFxRNjI2bZI3YinOdvFsVIeQnLX/inV84deBTZMtjXOpRSKpFmD0OISF9gv1oe6iEiiQKGEHYPiW2Aoua2Q6mWUDLpS5w1ZQCEstPIOXln3+tYNeVOqlb+aetITafbcTf7XodSSiXix5yFpcB1QK+4+xygH/BIA84PYZdTKtWmRNaU2SRMruyTdiLcKcvXOqpWLWTlm7d45U5/O4/07pv7WodSStWn2cGCMaZURP4BxGeG6QuUA4sTnBrB9ijMBnT9l2pziifMWmeuQs5pg3yvY/nLV+OU20SmKXnd6HL4v3yvQyml6uPLaghjzNPA09GyiESAL4wxe/txfaVam8jKEkomzvLKOaMGEu6Y6WsdZfNns3baeK/c9chrScnu6GsdSinVEEEtnbwO+COgayvV4ooem7luXgWf5yo4jmN3lXQcANJ7DaDjkNG+1qGUUg0VSLBgjLkuiOsq1RpULyui5OnZXjnnjEGEc/1dAVE8ezKlP33olfOPv41QiiY1VUq1DD9WQ+zr3vzMGFNW474GM8a839y2KJUMxQ9Pj+0s2TXb92yNTlUFy5673Ctnb3sAOdsd6GsdSinVGH58VHkPO1lxADA37j6nEddwfGqLUoGqXriWkhe+9co5Y3bzfQ+I1VMfoHLJL7YQTiH/+Nt9vb5SSjWWX2/QtSV3CtVyX10ac6xSLabovk+hshqAcEEe2T7vLFldtIIVr13vlTsOHU1G7wG+1qGUUo3lx9LJ9QKF2u5Tqq2r/HEJpa9975Vzz9qdUIa/HWIrXrmOSMlqAMJZHel6xLW+Xl8ppZpC39SVagDHcSi89UNvcC11865kHbmtr3WUL/ie1R885JW7HP4vUjvk+1qHUko1RdLnCYhIFvA3IAX42BizMtltUKqxKj7+nYoZsdXAeZcOJZTqX6ztOA7Lnr4YInaII63HFnTe/zzfrq+UUs0RWM+CiPQWkQfc7I7R+7YCfgZeBV4C5onI8KDaoJQfnKoIhbd/6JXTd+9L+t6b+lpH8ezJlPww1SvnH38boVR/J04qpVRTBRIsiEg+MB04E9gj7qGHie0hUQjkApPcIEKpVqn0pW+p+nWFLYQg79IhhEL+zcmNVJbbBEyu7G32J2eHQ327vlJKNVdQPQsXAL2BX4BxACLSD9gLqAb2NMZ0Am7GDoVcFFA7lGqWSHGFXQHhyhq2DWlb9fC1jtXv3E3lst9sIZxC/gn/9TUYUUqp5goqWDgYqAIOMMa86d53iPv9U2PMdPf2NcBqoNFJnJRKhuLHZhJZUWILmankXrCXr9evWr2IFa/H9mDrtN/ZulRSKdXqBBUsbAbMNcbMi7tvf+xc8nejdxhjKoHfWXd7a6VaherFhRSPj21BnXPqLqT0yPO1juUv/gunrAiAcG5Xuh5xja/XV0opPwQVLGQBZdGCiKQC0R0oP6xxbDaNy/aoVFIU3TMNymJpnf3egrrsty9YO22CV+521HWk5HT2tQ6llPJDUMHCQmBTEUlzy3tjJzMWYic+AnbFBLYXQneoVK3KegmYztuLcI5/qxOcSISlT13oldM32lZ3lVRKtVpBBQsfAJ2AW0RkO+BGbO/Bm8aYagAR6Q5Mwk5wnFrXhZRKtloTMB3lbwKmtdPGU/arFzfT/cT/6q6SSqlWK6hXp1uAY7GrIi7A7v1Q6d6PiAzGBggpwBqgWTvliEg2cDlwPLAptgfjS+AuY8zbTbjeJti5FIl8Y4zZobHXVq1f0AmYqotWsOz5K7xy7sCjyB6gc3yVUq1XID0LxhgD/B34AigHvgMON8ZEt+tbiA1Uvscuo5zX1LpEJAd4H7uyYjNgDlDs1v+WiDRlxlh0d6CVwKd1fM1uaptV65WMBEzLnr+SSJHN2xDKyCH/hP/6en2llPJbYP2expjPgd3qePh3YIe44KE57gd2Bb7GBiR/AojIycDjwLUi8qkx5r1GXDMaLDxvjDnLhzaqNqL05e8CTcBU+vNnrP34Ma/c9YhrSeu6sW/XV0qpILTIRlLGmIgfgYKIbA6MACLASdFAwa1jEjbpE8C1jbx0NFj4rrltVG1HpLiConuneWW/EzA51VUsmXiOV07faBvd/0Ep1SYEPqPKnU/Q0a2rzo9oxpimrIg4GTvv4VNjzA+1PP4QcBWwp4j0aUQd0WDh+4RHqXZlvQRM5/ubgGn1e/dR8WcsRu4x8gFCqWkJzlBKqdYhsGBBRA7CroLYvr5jsfPOm9KW3d3v02p70Bjzl4jMB/oCQ7CrLxISkVzs3AfQnoUNxnoJmEbtQkqBfwmYKlf9xfJXYtNnOgw+lawt9vTt+kopFaRAggUR2QuYjB3maMiAb1MHhfu5339NcMw8bLCwZQOvuZ3bnoVAvohcCuyIfa7mAs8YYz5NcL5qg9ZLwHS6fwmYHMdh6aTzYpkac7qQf9zN9ZyllFKtR1A9C5djhwe+Ba4DfgRKA6inu/t9WYJj3NlqdGvgNaM9IZ2BH7A/R9T+wDki8jgw1k1XXS8RmVPHQ5s3sE0qQEEnYCr64gWKv3rNK+cfdxMpeQ39c1RKqZYXVLCwBzbd8wHGmCUB1QE2VTTEpZauRTRIyU5wTLxosJCJ3VL7XuzumQXYORLXAKdhl4Se3ZjGqtbHcRwKb/swsARM1YXLWTrpfK+ctdU+dBh8mm/XV0qpZAgqWMgB5gQcKIDd7rqhKzoauv/EJ+41ZxtjHoy7/w/gRhGZBzwJjBWR+40xdfUaeIwxW9d2v9vjoFsMtqCKj3+nYnpwCZiWPnUh1YW24yuUnk2PUx8mFG6RRUhKKdVkQQUL8wH/1pzVrQg7XJCZ4Jgs93tJQy5ojHkKeCrR426ipy2AYdgkUKoNWi8B0259fE3AVDR7MoXTn/HK3Y6+gfTuOvKklGp7gvqI8wLQS0T2C+j6Ucvd710THBMdHF7qY73R7I3+pvZTSbVeAqbLhvqWgKm6eDVLJsRGqTL77U6n/c/15dpKKZVsQQULN2E/cU8UkWEikhFQPT+63zdJcEz0sbkNvaiIpIlISoJDos9bgyY4qtYn6ARMy567jOrViwAIpWZQcNqjhMKJ/qSUUqr1CmoY4lFgAbAN8DJQLSIrgYo6jneMMX2bUM8M4HBi+RbWISIbAX3c4mf1XUxEOmOXYXYGjsa2vTY7ut9rSwSl2oAgEzAVzZ7M2o8f98pdj7ia9F79fbu+UkolW1A9C8cDB7q3Q9igpDuwUYKvpnjB/T5URKSWx8e63z9qyGZVxphVwGK3OKq2Y0TkGOySxwrqDiZUK1a9tCiwBExVqxez5PHRXjmj7050PvASX66tlFItJaiehVMDuu46jDE/i8jTwInAyyIyzBjzC4CIjAD+4R56Q81z3X0l0oA1xphFcQ/dBEwEDhORm4BrjTHl7jnHAE+4x91qjFkYxM+lglV0/6exBExd/EvA5DgOix87jepCO5UmlJ5FzzMnaUpnpVSbF0iwYIyZEMR163A+sK379ZOIfIcdRogOa/yrjh0np7rHTCCuF8EYM0lEtgMuBa7AJmH6Gbu6o7d72KPYfAuqjan6ZTmlL8WyeOees4dvCZhWT32Aku+meOX842/T4QelVLvQ5hd8G2NWYOcsXIedxLgVdnXER8DRxpj/NOGal2GzNb6GTeq0HbYX4g3gUGPMaGNMxJ+fQCVT4Z2fQMSm3Ejp25msY7bz5brlf81h+bOXeeWc7Q+h4z5jE5yhlFJtR6C7TrqrIEYBhwH9gY7GmHwR6QbcBtxWx26RjWKMKcZuQ31tI87ZpJ7H3wNq65FQbVTFrAWUf/CLV867aDChtOavUIhUlrPooRE4VeUApHToTo/TH/VtGaZSSrW0wHoWRGRL4BvgAeBg7E6OXdyH+wIjgVkiMiyoNigV5TjOOgmY0rbvScb+Dd1bLLHlz/9j3a2nT3+M1A7dE5yhlFJtSyDBgoh0BKZgd3r8A7iDdXeGXAP8hM28+LyIbBNEO5SKKn9nLpXfxuax5l3iTwKmwpkvsPrde71yx/3OJnf7g5t9XaWUak2C6lm4CNt78AawlTsHILokEXfFwrbAq9i5ABcH1A6lcCqrKbzzY6+csU8/0gc2dbVuTMXiuesuk9x4e/KH39rs6yqlVGsTVLBwFDa74RnGmFp3hDTGVANjsLs37hNQO5Si5IVvqP5jtS2EQ+RdvHezrxkpL2HhfccRKSu0l83qQM9znyecnlXPmUop1fYEFSxsht11MuF+DMaY5YABegbUDrWBi5RUUPzg51456+htSd080VYiDbN00rlULIgtwexx+mOk9+jX7OsqpVRrFFSwECG222ND2lAeUDvUBq7k6dmxtM4ZqeSes2ezr7nm48dZOy2WSqTzAReRN/CoZl9XKaVaq6CChV+AzUWkINFBIrIxMMA9XilfRQrLKX50plfOPnFHUrrnNuuapb/OYOnE2O6Rmf32oNuxNzXrmkop1doFFSy8gs3hcL+I1Drl3M3B8Bh274jJAbVDbcCKJ8zCWWunzISy08g9o3lpnStX/MnCe46K5VPI60bPs5/RdM5KqXYvqKRMdwGnAUcAM0TkOexGUojIQdjdKM8AtgAWAfcE1A61gYqsLqVkwiyvnD1yIOHO2U2/XnkxC+85kuo17qKelFR6nvM8aV2av6pCKaVau6D2hih0g4LXgYHAznEPv+F+D2EDhcPd3R6V8k3x4zNxiu2O6KEOmeSMHNjkazmRCIsfOZXy+bO9+3qccj/Z/Yc0u51KKdUWBJbB0RjzE7A9NufCJ8BKoBpYC3wB/B+wtTHmy6DaoDZM1cuKKH7yK6+cc9ouhDtkNvl6K167nqJZL3nlTvufT8chZzSrjUop1ZYEujeEMaYEuNv9Uiopih+ZEduCums22SN2avK1Cmc+z8rX/u2Vs7f5O/nH39bsNiqlVFvie7DgTlwcDAwF+mB3gHSAVcCPwDTgE2OM43fdSlUvK6Lk+W+8cs7oXQlnN20L6rLfZ7H4kVO9clqB0POsZwilBBpjK6VUq+Pbq56IpAEXAP8gtmEU2LkJNQODhSJyE/CQbvWs/FQyYRZUVAMQzs8he/gOTbpO1aqF/HX3kTiVdjVFOKczvS98jZScTr61VSml2gpf5iyISAfsxlG3YHsSQkAh8B3wKTAL+Bmoch/rDdwLvC0iOX60QanImjJKnv3aK+ecuguhjMbHw5GKUv665yiqVy+0d4RT6HXO86QXbOFXU5VSqk3xq2fheeywQzXwMPCwMea7mgeJSDowCBgNnAT8DZiE3UtCqWYpefornJJKAEIdM8k6dvtGX8NxHJY8djrlv3/h3dd9xN1kD9jXt3YqpVRb0+xgQUQOBf6OXeVwmDHmk7qONcZUYOcsTBORx7FLK4eJyD7GmA+a2xa14YqUVFA8KW4FxIidCOc0fq7CytdvonDGc165475n0Wnfs3xpo1JKtVV+DEOMwM5JuChRoFCTMeYj4ErssMRJPrRDbcBKX/wWZ3UpAKGsNLJPavwKiMJZL7Pi5f/zytkD9qP7iXf61kallGqr/AgWdsJuBPVkE84djx26aF4eXrVBcyqqKH4iNmyQNXx7wp0at1V02fyvWTxupFdO69GPnmc/q6mclVIKf4KFAuA3Y0xlY080xhQDv2GXWCrVJKWv/0BkSZEtpKWQM2qXRp1ftXoxC+8+AqfC7k4ZzupI7wteIyW3Sz1nKqXUhsGPYCELWNOM81cBuiJCNYlTHVlnZ8msI7Zu1M6SkcpyFt53DFUr/7R3hML0PPsZ0nv197upSinVZvkRLKRghxKaqtKndqgNUNk7c6me724tEg6Rc3rDR7Qcx2HphLMo++Vz7778E+4gZ9sD/G6mUkq1afomrdosx3EoHjfdK2ceKKT26dzg81e/cw9rp03wyh2HnEGn/c/ztY1KKdUeaLCg2qyKT36nyizzyjmjd23wucVz3mPZs5d65awt96L7yfcSCoV8baNSSrUHfiVl6igiezf1XJ/aoDYwRXG9ChlDNiNNujfovIolv7DogePBsZnGU7tsTM9zXyCU2rQ9JJRSqr3zK1jYBtCkSippKr5cQOVXf3nlnDG7Nei86tK1LLz7SCLFdp5DKD2LXhe8QmqHhgUaSim1IfIrWGhu363uQKkapfiRGd7ttIEbkb5j73rPcSIRFo87hYqFP3j3FZz+GJl9dwykjUop1V74ESxs6sM1lGqwyh+XUP7xb145t4G9CitevY7i2a975S6HXkHersN9b59SSrU3zQ4WjDHz/WiIUg0Vn1chdavupO+5Sb3nFM1+nZWTb/DKOdsfQtejrg+ieUop1e7oagjVplTNW0XZFOOVc8fsVu8Khoqlv7H4kVFeOb1nfwrGPkkorH/+SinVEPpqqdqU4sdnQsROcUnZpDMZf9si4fGRijIW3T+cSMlqAEIZOfQ89wVSsjoE3lallGovNFhQbUb14kJKX/3eK+ecviuhlMR/wsueuoDy+bGtq3uc+jAZvQcE1kallGqPNFhQbUbxhC+gyuZGCBfkkXVY4jf9NdMmsOajR71yx/3OpsNuJwTaRqWUao80WFBtQmRVCaXPf+uVc07dhVB6Sp3Hly/4nqUTz/HKmZsNIv/42wNto1JKtVcaLKg2ofjJr3BK7S7ooc5ZZB29bZ3HRirKWPTQCJyKUgDCOV3oefazhNMyktJWpZRqbzRYUK1epLiCkqdi8w5yTt6ZcHbdqZlXvHQVFQu+88oFYyaQ1q1voG1USqn2TIMF1eqVPvc1ztpyAEI56WSfUHfGxZIfprJqZ1EbQgAAGE9JREFUyp1eudN+55C7/cGBt1EppdozDRZUq+aUV1E8fpZXzj5+B8IdM2s9trpoJYsfOdUrp/faim7Dbwm8jUop1d5psKBatdJXvyeyvNgW0lPIPmXnWo9zHIclE86iapW7uVRKGgVnTiKcnpWkliqlVPulwYJqtZyqCMWPxVI7Zx21LSn5ubUeW/jZJIq+eNErdzv6et0gSimlfKLBgmq1yv73E9UL1thCSoic03ap9bjKZb+zdNL5Xjmr/1A6H3hxMpqolFIbBA0WVKvkRJx1tqHOPHgrUjfqtP5x1VUsGjeSSFkhAOGsjhSMfoJQuO4cDEoppRpHgwXVKpV/9CtVPy/3yjln7FrrcSvfvJWynz/1yt1H3k9a1z6Bt08ppTYkGiyoVsdx1u1VyNi3H2lbdFvvuLLfvmDFa9d55bzdT9R0zkopFQANFlSrUzHzTyq/XuiVc0av36sQKS9m0bhToLoKgNSufeg+4t6ktVEppTYkGiyoVqf4oc+92+m79iF9+17rHbPsmUupXDzXFkIhCkaPJyVn/TkNSimlmk+DBdWqVHy1gIoZf3jlnLN2X++Yotmvs+bDcV6588GXk91/SFLap5RSGyINFlSrUvTQdO922k69Sd9l43Uer1qzhCWPj/bKGX13pNuR1yareUoptUHSYEG1GpXfL6Zi2u9eOXfs7oRCIa/sOA5LHj+D6sJlAITSMik4cxKh1Lo3lVJKKdV8GiyoVqPo4dhchdRtCkjfc5N1Hl/zwUMUf/OWV84//nYyem2VrOYppdQGS4MF1SpUmqWUT/3FK+eeuds6vQoVC39i2bOXeeXs7Q6k475jk9pGpZTaUGmwoFqF4nGxvAqpkk/GPv28slNVwaKHT8apKAUgJa8bBac9tk4woZRSKjgaLKgWV/XbCsr+95NXzhmzG6FwLBBY8ep1lM//yiv3OO0RUjsVJLWNSim1IdNgQbW4ons/BcfeTtm0C5l/39J7rMR8wso3b/HKHYeOJnfHw5PdRKWU2qBpsKBaVOUPSyibYrxy7jl7EEqxf5bVJWtYPG4kODaSSOuxBfkn3NEi7VRKqQ2ZBguqRRXdM827nSr5ZB7Y3ysvffJ8qlbMt4VwCj3PnEQ4IyfZTVRKqQ2eBguqxVR8uYDyj3/zyrkXDPbmKqz97CkKP3vSe6zrEdeQudkuSW+jUkopDRZUC3Ech8K7P/HKadv3JGPIZgBULP2VpRPP8R7L7LcHXQ75R9LbqJRSytJgQbWIis/mUTlrgVfOvXBvQqEQTlUlix8aQaSsEIBwVkd6njmJUEpqSzVVKaU2eBosqKRzqiMU3v6RV07fvS8Zu/YBYPkr11D220zvsR6nPkxa/ibJbqJSSqk4GiyopCt95XuqzDKvnHfhYACK57zHqrdu9e7vsPfp5A06NuntU0optS4NFlRSRYrKKYqbq5B52ADStu1J1dpl6yyTTO/Zn+4n3dlSzVRKKRVHgwWVVMXjZhBZUWILmankXbQ3TqSaxQ+PoHrNYgBCqekUjH1Kl0kqpVQrocGCSpqq+asonjjLK+ecNoiUgjxWvHIdJXPe8+7vdtwtZPbdoSWaqJRSqhYaLKikcByHtde/CxXVAIS755Jz2i4UzX6dla/f6B2XO/BoOu1/Xks1UymlVC00WFBJUfbWT1R8Nt8rd7hiX6oK/7DzFFzpPftTcLruJqmUUq2NLl5XgYusKaPw5ve9cvrgTUndu4AF/xlCpHQNAKHMXHqe9yLhrLyWaqZSSqk6aM+CClzhbR+uO6nxn0NZ/OAJVCz4zjum4LRHyei1VQu1UCmlVCIaLKhAlU39mdKXY0FBztjdWfnRtZR8N8W7r/Mh/9B8Ckop1YppsKACU72imLXXvOOVU7cpoHLjz1nz/oPefbkDj6bb0Te0RPOUUko1kAYLKhCO47D26neIrIwNP6SeXMHy5y/zjsncbBAFYyYQCuufoVJKtWb6Kq0CUfLEF5R/8ItXTj05wtJXzvIyNKZ27UuvC14lnJ7VUk1USinVQLoaQvmufPp8Cv/7ceyOPVax8vv/QsTmWEjJ60bvi98gtWOPFmqhUkqpxtBgQfmqeuFaVl/yOkRsD0L1pn9REnoEqioBCGd3ovelU8joPaAlm6mUUv/f3p1HSVmdeRz/NsiqKIiCisqqj0uMxN2gIzoTdUajztEZl2iCxi1jjlHjNpOMS45GTY7GGDNjxrgFRcaFE8VIRscxHhdc4hZFfQCRRcSwCEhDt73V/HHv2xRF1dtV1VV0V/v7nNPndtX73qdu3fOeqqfue9/7SgmULEjFtK1qYOV5j5BZ2QBA87BZNAyfCs0xUeg/iBGXztBSziIiNUbJglRE27omVn7vUVo+XAFA07CZNI56vH2Eoa7vQHa4eDoDxhzQlc0UEZEyKFmQTss0NrPqosdpfnsJmbpWGneeTvPwl9u399p8a0ZcPJ0B4w7qwlaKiEi5lCxIp7St+YKVF0yj+c8f09bncxrGTqV1y3nt2zcbMoIRl86g34g9u7CVIiLSGUoWpGyty+pZed6jtHywlOatPqBxzMNk+qxt395v9H7scOE0+gwZ0YWtFBGRzuoRyYKZDQQuB04BRgNrgNeBW919RpkxdwauAo4GhgHLgGeAG9z9/Uq0u5Y1vbaIVT+cTsuqpXwx5g80b/PGBtsHHXQqw8+6U+soiIj0ADW/KJOZbQ78H3A1MAaYBawFjgSeNLOry4hpwBvAd4EtgLeB/sAZwBtmdlRlWl97Ms2t1N8xkxVnTaGx7hnW7nXLBolCXd8BDJt0B9udN1mJgohID1HzyQLwa+BA4C1grLvv4+4jgW8DLcA1ZvZ3xQYzs82AJ4ChwGRge3ffH9geuJ2QNEw1s6GVfRvdX9MbH7P8pHtYef/trN3jFzSO/v2Gpx1G7cvOV7/C4InnUFdX14UtFRGRSqrpZMHMxgKnA23At9x9UbLN3ScDN8aH15QQ9nRgHLAQONvdG2K8JuBC4HlgMHBxZ9tfK5rf/ysrLryPJT/8F1YN+Fcaxk2lbcCy9u11fQey7ak3s/O/v6SJjCIiPVBNJwuE0wK9gZnu/l6e7XfEckKcg1CMSbGcHBOEdu6eAX4TH55aYltrSqaphXXTX2XJdy9h0ZVHsGL12Xwx8g9k+n+2fqe6Xmz5N2cx6qYPGHLURdT17hFTYEREJEetf7ofHMsX8m1098VmtgAYCRxGOK1QkJn1ApJVg/LGBF6M5Rgz2yl7NKPWNS1YSP0zT9Hwxp9oXPYyrf3nQ10GhuTsWNebQQedwtbHXqGRBBGRL4FaTxbGxfLDlH3mE5KFXYuINwJIZuUVirkIaCWMaOwaH9eETEsTzSs/pXnxApo/mk/Twtk0L5lD8/J5NDd+RGazrFGDPHMTew/cji0Pn8Tgw8+lzzYjN13DRUSkS9V6sjAslstS9lkRy21KiFcwpru3mtlqYOsiY3ZaW1MDa16ZSsuKRWRaW8i0tUBrC5mWZlrmL6dtdT2ZlhYyrc3Q1kKmpZG21gYybevItDWEv8w6Mr3WFX6RAkdCXd1WDNzlbxl83LkM3OMI6nr1rs6bFBGRbqvWk4WBsWxM2achZ99i4lUyJmY2q8Cm3RYuXMgxxxyTWr9l9V9prV9ezEsVMCD+dXwBRx29oK4fvfoNpNcWW4bLH5eugxdvBW7tRBtEvhzmzp37uLsf19XtEKmkWk8WWil+kmamyHilKCZmmrampqa1c+fOLeJURr9OvlQp2mBdPays31QvODaWaaeTpHjqz8pSf8qXXq0nC/WE6Xf9U/ZJzr6njMFvEC/Rn8KjC6XExN01CzBFMvKifqoM9WdlqT9Fav/SyWRsPm18PZlXsLSEeAVjxkWbtiohpoiISE2r9WQhuUfDqJR9km2zOwrm7p8AqzuIuRPhSoiiYoqIiNS6Wk8WXonlwfk2mtmOQLIY00tFxnw1LSbw9VguiMmFiIhIj1brycLDsZwYb/6U6/xYPufu84uM+VAszzSzvikx7y0ynoiISE2r6WTB3ecAUwinBaaZWbJIE2Z2OnBFfHhdbl0zG2tmu5nZ9jmb7ifMeh4DTDGzQXH/vmZ2G3AI4VTFryr9fkRERLqjukyms1f/da1498dngb0Ilz6+Q7hCIlli8Efu/tM89ebHfe5z90k52/YHniZMZKwHPiAkD1sDTcDR7v5s5d+NiIhI91PTIwsA7r6CML/gWsKEw90JVzI8B5yYL1EoIuZrwN7AXcCq+H8b8ChwoBIFERH5Mqn5kQURERGprpofWRAREZHqUrIgIiIiqZQsiIiISColCyIiIpJKyYKIiIikqvW7TkoXMLOBwOXAKcBoYA3wOnCru88oM+bOwFXA0cAwYBnwDHCDu7+fUu8rwI+Bw4HBwBLgSeB6d19cTls2tSr15wHAD4BDge2ABuA94EHgDndvylNnFPBRB6Hfdvfx5bRpU6l0f3amX3rC8SkCunRSSmRmmxO+xA8EmoF3CetaJPfguMbdry0xpgEvxjirgTmsXwSrETjB3f8nT71DgacItxNfDiwADNgCWAkc4e5vlfgWN6kq9ecPgFsII4cNhP7cBtgh7vIKcKS7f55T73jg98BnrL9JW6457n5mKe3ZlKrUn2X1S084PkUSShakJGZ2L/Ad4C3gOHdfFJ8/A7ibMFr1DXf/3yLjbUb4AB4HTAbOc/eGeF+Om4HvExbGGhcX4ErqbQ3MJazWeRPwY3dvictz3wOcCMwDds/3K7q7qEJ/TgCeB+qAnwFXufsXcdvhhOXMdwCmuvupOXWvIixudoe7f6/z727Tq3R/xrol90tPOT5FEpqzIEUzs7HA6YTVLL+VfBADuPtk4Mb48JoSwp5OSBQWAme7e0OM1wRcSPjiGwxcnFPvQsIH8cvufqW7t8R6a4DTCB/EY4Bvl9CWTapK/XkZIVGY7u5XJIlCjPks4YsU4BQz2ymn7t6xfKeE1+s2qtSfUF6/1PzxKZJNyYKU4gzCTbtmuvt7ebbfEcsJcQ5CMSbFcnLuLyx3zwC/iQ83+BWcVe+u3IAxzt0F6nUn1ejPw2P5YIHtzxDO4QPsl7Mt+VJ8t8jX6m6q0Z9QXr9MimUtH58i7ZQsSCkOjuUL+TbGCVsL4sPDOgpmZr2AA9JiEuYyAIxJfgnHO4UmNwrrqN4EM+vTUVu6SDX682TgXMKITD51Wf/3zqq7BeGXLtToyAIV7k8or1960PEp0k5XQ0gpkluAf5iyz3zCB+WuRcQbAQzoIOYiwt1Ee8eYi7LakaHwLPX5sexHmNyW1uauUtH+dPc24I8d7HY0MCj+Pyvr+a8SEolPgG3N7FLga4TPiNnAg+7+It1bpY9PKK9fesrxKdJOyYKUYlgsl6Xsk0xC3KaEeAVjunurma0mXBmRxEzqfZ59Tr5AO5K2dMcP40r3Z6r4K/mW+PDPOZekJkPtQwiXWPbO2vYN4AIzuxs4392bO9uWKqlGf5bTLz3l+BRpp9MQUoqBsWxM2achZ99i4pUas5R2FNuWrlDp/iwoXl3yEOHSvVbgopxdki/F/sCdwJ6EX70jCesENANnAb/sTDuqrBr9WU6/9JTjU6SdRhakFK0Un2AWc01ua4mvn8Qst153U+n+zMvMBgCPAH8fn7o8z9D587Etb7r7f2Y9vxC43szmEy67PN/Mfu3us+h+qtGf5fRLTzk+RdopWZBS1BOGY/un7JPMQVhXZLxEfwr/EsuNmdQrph3FtqUrVLo/N2Jmw4DHgIPiUz9x91ty93P3B4AHCsVx9wfM7GpgF+B4Npzv0F1UvD/L7JeecnyKtNNpCCnF8lgOTdknORe8tIR4BWPGRZu2yomZ1BuUMpM8+5x0MW3pCpXuzw2Y2e6E1RoPIvx6vcTdry41TpY3Yzm6EzGqqar9mSK3X3rK8SnSTsmClCKZEDcqZZ9k2+yOgrn7J4TlndNi7sT6SWVJzKQdvVi/jG+hdjQSrqDojiran9nMbCLwUqzfCPyzu/+igzp9zKx3yi7J50V3neBYlf4so196yvEp0k7JgpTilVgenG+jme3I+g/Hl4qM+WpaTODrsVwQkwvcfSXhfgfF1HvF3Us9h7ypVKM/MbPDCDcrGkyYdX+Euz+Ssv8QM/sMaCIMpRfytVjmW/CoO6hof5bbLz3o+BRpp2RBSvFwLCfGmz/lOj+Wz7n7/CJjPhTLM+OM/UIx7y1Q79zcCjHOWQXqdScV708zG02YozAA+BiY4O4z0+rEL7dP48NJBeKeBIwlfHFOK6YtXaCi/dnJfukJx6dIOyULUjR3nwNMIZwWmGZmyeIzmNnpwBXx4XW5dc1srJntFle3y3Y/4RrzMcCUeKMdzKyvmd0GHEI4VfGrnHq3EW4wdaiZ3ZYkGrH+AzHePFImp3W1KvXnbwlzPBqAY9zdi2zODbH8ppndYGb9sl7rJMLNjwB+lozwdDdV6s9y+6Xmj0+RbLrrpJTEzIYCzwJ7ES4Re4cwAz1Z3vZH7v7TPPXmx33uc/dJOdv2B54mfMnVAx+w/hbVTcDR8SZIuTGPBR4F+hJuHzyPsI7AIMIH9SHd9BK/dpXsTzPbD3gt7rKC0I9prnf3GVkxfw5cGh+uIQylDyestAkhETkvrhTZLVXp+CyrX3rC8SmS0MiClCTeJvpgwi17ZwO7E2afPwecmO+DuIiYrxEWv7mL8CG6N+HOgY8CB+ZLFGK9Jwg3Q/pvwuSy8YRk4z5g31r4IK5wf2bf72AoMKGDv+E5bbmMsCrhY4SRia8CfYAngGPd/ZzunChA1Y7PsvqlJxyfIgmNLIiIiEgqjSyIiIhIKiULIiIikkrJgoiIiKRSsiAiIiKplCyIiIhIKiULIiIikkrJgoiIiKRSsiAiIiKplCyIiIhIKiULIiIikkrJgoiIiKRSsiAiIiKpNuvqBojIxsxsIuFWywB93L2lC5sjIl9yGlkQERGRVEoWREREJJWSBREREUmlZEFERERSaYKjSGRmk4B7gMeA7wDXAf8IDAU+Bh4Hfu7un2bVuQa4GrgJeDmWo4AlwJXuPjXuNwA4HzgZ2APoCywGngZudvc5KU3rZ2b/BpwB7AQsB54CbnT32Z1/5yIi6TSyILKxLYEXgO8DrcD7wEjgEuB1M9srT53DgEeAIXH/HYA3AcxsR+AN4BbgQEIi8S6wPXAe8BczOzmlPU8C1wKbA+/E1zgTeNvMjurMGxURKYaSBZGNHQ7sApzm7iPdfR9gNDCTkAQ8aGa5o3IHEUYednL38cAId3cz6w1MB3YDHBjv7ubu+wHbAb8F+gOTzezAAu2ZAFwQY+4PjACmxXpTzGzbir1zEZE8lCyI5HeZuz+YPHD3xcDxwGpgT+CkPHUudfcv4v7L4nP/BIwHGoF/cPe3s2J+7u7nAH8E+gDXF2jLTe7+H+6eifVWAacBHwJbE0YnRESqRsmCyMbqgTtzn4wJwLT48PiczUvcfV6eWN+M5eMFtkM4PQEw0cy2yrP99jxt+QL4XXx4TIG4IiIVoWRBZGN/cffGQttiuWvO80sK7L9bLF9Peb1kW29gXM62T929UOykLbunxBYR6TQlCyIb+yxlW30sB+c831Bg/y1juTol5udZ/w/K2bYmpV6ybWDKPiIinaZkQWRjm6dsS04TLC0yVvKFnu/0QmJInv0TWxTRlpVFtkVEpCxKFkQ2toeZ1RXYNj6Ws4qM9UEs903ZZ79YZgiTFrNtZ2a5oxiJfWL5TpFtEREpi5IFkY0NB47NfdLMtgdOiA8fLjLW9FgeZ2ajC+xzUSxnxisdstUBk/K0ZVDW848X2RYRkbIoWRDJ7y4zOyR5YGajCF/KWwB/IqygWIyHCRMR+wMzzGzvrJiDzOy/gCOBFuCKAjFuMLOTsuoNI1yVMQKYB9xVZFtERMqi5Z5FNraasC7C82bmhMmLexGuVngbOCNZ86Aj7t5iZscDMwhXRrxlZrMJcxP2AAbE+Oe7+wt5QiwgzI942MwWAsuArwD9CFdgnODua8t+pyIiRdDIgsjG6oEDCKsrDiFcJjkLuByY4O4flxLM3ecT5iVcBrxKWOZ5D2Ah8Etgb3f/XYHqjcARwM2EUxJ7EZKEW2M9zVcQkaqry2SK+oEk0uNl3Uhqsbvv2MXNERHpNjSyICIiIqmULIiIiEgqJQsiIiKSSsmCiIiIpNIERxEREUmlkQURERFJpWRBREREUilZEBERkVRKFkRERCSVkgURERFJpWRBREREUilZEBERkVRKFkRERCSVkgURERFJpWRBREREUilZEBERkVRKFkRERCSVkgURERFJpWRBREREUv0/Bj7tfHVjaGsAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "
"
+       "
"
       ]
      },
      "metadata": {
@@ -712,16 +335,6 @@
    ],
    "source": [
     "\n",
-    "density = True\n",
-    "cumulative = True\n",
-    "histtype = 'step'\n",
-    "lw = 2\n",
-    "bins = {\n",
-    "    't_i_peak': np.arange(0, 0.02, 0.0005),\n",
-    "    't_e_peak': np.arange(0, 0.03, 0.0005),\n",
-    "    'p_i_peak': np.arange(0, 0.04, 0.0005),\n",
-    "    'p_e_peak': np.arange(0, 0.04, 0.0005),\n",
-    "}\n",
     "xlabel = {\n",
     "    't_i_peak': 's',\n",
     "    't_e_peak': 's',\n",
@@ -730,22 +343,19 @@
     "}\n",
     "\n",
     "for cell_type in ['gridcell', 'bs_not_gridcell', 'ns_inhibited', 'ns_not_inhibited']:\n",
-    "    for key in bins:\n",
-    "        fig = plt.figure(figsize=(3.5,2.2))\n",
+    "    for key in xlabel:\n",
+    "        fig = plt.figure(figsize=(3.7,2.2))\n",
     "        plt.suptitle(key + ' ' + cell_type)\n",
     "        legend_lines = []\n",
-    "        for color, query, label in zip(colors, queries, labels):\n",
-    "            data.query(query + ' and ' + cell_type)[key].hist(\n",
-    "                bins=bins[key], density=density, cumulative=cumulative, lw=lw, \n",
-    "                histtype=histtype, color=color)\n",
-    "            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, lw=lw, label=label))\n",
+    "        for color, label in zip(colors, labels):\n",
+    "            legend_lines.append(matplotlib.lines.Line2D([0], [0], color=color, label=label))\n",
+    "        sns.kdeplot(data=results[cell_type][key].loc[:,labels], cumulative=True, legend=False, palette=colors, common_norm=False)\n",
     "        plt.xlabel(xlabel[key])\n",
     "        plt.legend(\n",
     "            handles=legend_lines,\n",
     "            bbox_to_anchor=(1.04,1), borderaxespad=0, frameon=False)\n",
     "        plt.tight_layout()\n",
     "        plt.grid(False)\n",
-    "        plt.xlim(-0.001, bins[key].max() - bins[key].max()*0.02)\n",
     "        despine()\n",
     "        figname = f'histogram-{key}-{cell_type}'.replace(' ', '-')\n",
     "        fig.savefig(\n",
@@ -756,9 +366,66 @@
     "            bbox_inches='tight', transparent=True)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Stats"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stats = {}\n",
+    "for cell_type, result in results.items():\n",
+    "    stats[cell_type], _ = make_statistics_table(result, labels, lmm_test=True, wilcoxon_test=False, ttest_ind_test=True, ttest_rel_test=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "stats['gridcell']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for cell_type, stat in stats.items():\n",
+    "    stat.to_latex(output_path / \"statistics\" / f\"statistics_{cell_type}.tex\")\n",
+    "    stat.to_csv(output_path / \"statistics\" / f\"statistics_{cell_type}.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for cell_type, cell_results in results.items():\n",
+    "    for key, result in cell_results.items():\n",
+    "        result.to_latex(output_path / \"statistics\" / f\"values_{cell_type}_{key}.tex\")\n",
+    "        result.to_csv(output_path / \"statistics\" / f\"values_{cell_type}_{key}.csv\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Plot PSTH"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -767,7 +434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -777,7 +444,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -786,12 +453,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "
"
       ]
@@ -823,7 +490,8 @@
     "    axs[0].set_ylabel('Probability density')\n",
     "    despine()\n",
     "    plt.xlim(-5, 30)\n",
-    "    \n",
+    "for ax in axs.ravel():\n",
+    "    ax.axvspan(0, 5, color='#43a2ca', alpha=.3, zorder=-5)\n",
     "figname = f'response-probability-gc-ns'\n",
     "fig.savefig(\n",
     "    output_path / 'figures' / f'{figname}.png', \n",
@@ -835,12 +503,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "
"
       ]
@@ -872,7 +540,8 @@
     "    axs[0].set_ylabel('Probability density')\n",
     "    despine()\n",
     "    plt.xlim(-5, 30)\n",
-    "    \n",
+    "for ax in axs.ravel():\n",
+    "    ax.axvspan(0, 5, color='#43a2ca', alpha=.3, zorder=-5)\n",
     "figname = f'response-probability-nsi-ns'\n",
     "fig.savefig(\n",
     "    output_path / 'figures' / f'{figname}.png', \n",
@@ -898,7 +567,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -907,13 +576,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "['/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/times.feather',\n",
+       "['/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_gridcell.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_inhibited.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_gridcell.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_t_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_inhibited.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_i_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_p_e_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.tex',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.csv',\n",
+       " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/times.feather',\n",
        " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/data/psth.feather',\n",
        " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/figures/histogram-t_i_peak-gridcell-stim-mec.png',\n",
        " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/figures/histogram-t_i_peak-ns_inhibited-stim-mec.png',\n",
@@ -989,7 +708,7 @@
        " '/media/storage/expipe/septum-mec/actions/stimulus-response/data/figures/histogram-t_i_peak-ns_inhibited.png']"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1000,13 +719,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
     "septum_mec.analysis.registration.store_notebook(action, \"20_stimulus-spike-response.ipynb\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -1035,5 +761,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
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index d015c1428..8bfbfcfe2 100644
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+1839-290519-2,0,100,0.05,107,0.0086,0.0671966402,,
+1839-290519-2,0,100,0.05,117,0.0261,0.00659967,,
+1839-290519-3,0,100,0.05,111,,,,
+1839-120619-4,1,100,0.05,86,0.0217,0.0120448796,0.0009,0.0049499505
+1839-120619-3,1,100,0.05,113,,,,
+1839-120619-4,1,100,0.05,104,0.0201,0.0008799912,0.0087,5.49994500054999E-05
+1839-120619-4,1,100,0.05,84,0.0256,0.0082499175,0.006,0.0022549775
+1839-200619-2,1,100,0.05,7,0.0004,0.0013499325,,
+1839-290519-1,1,100,0.05,110,,,,
+1839-120619-3,2,100,0.05,129,,,,
+1839-120619-3,3,100,0.05,137,,,,
+1839-120619-4,3,100,0.05,112,0.0232,0.0009349907,0.0183,0.0003299967
+1839-200619-1,3,100,0.05,153,,,,
+1839-200619-2,3,100,0.05,118,0.0087,0.0019499025,,
+1839-060619-1,4,100,0.05,240,,,,
+1839-060619-3,4,100,0.05,101,0.0091,0.3187340633,0.0034,0.0127493625
+1839-060619-4,4,100,0.05,230,,,,
+1839-060619-5,4,100,0.05,164,0.0095,0.0440545595,,
+1839-120619-2,4,100,0.05,78,0.0086,0.392080396,,
+1839-120619-3,4,100,0.05,115,,,,
+1839-120619-3,4,100,0.05,121,,,,
+1839-120619-4,4,100,0.05,102,0.0079,0.0629193708,,
+1839-120619-4,4,100,0.05,110,0.0093,0.1180838192,,
+1839-120619-4,4,100,0.05,120,0.0083,0.0687493125,,
+1839-120619-4,4,100,0.05,82,0.0082,0.0587394126,,
+1839-200619-1,4,100,0.05,141,,,,
+1839-200619-2,4,100,0.05,100,0.0085,0.0644967752,0.0034,0.0037498125
+1839-200619-2,4,100,0.05,106,0.009,0.0665966702,0.0038,0.0064496775
+1839-200619-2,4,100,0.05,108,0.0088,0.0307484626,,
+1839-290519-1,4,100,0.05,122,,,,
+1839-290519-2,4,100,0.05,39,0.0089,0.2854357282,0.0031,0.0569971501
+1839-290519-1,4,100,0.05,127,,,,
+1839-290519-2,4,100,0.05,119,0.0091,0.1145942703,0.0034,0.0142492875
+1839-290519-3,4,100,0.05,117,,,,
+1839-290519-3,4,100,0.05,72,,,,
+1839-060619-5,5,100,0.05,138,0.008,0.0737542625,,
+1839-060619-3,5,100,0.05,87,0.0071,0.1607919604,,
+1839-060619-4,5,100,0.05,228,,,,
+1839-060619-5,5,100,0.05,170,0.0083,0.0210647894,,
+1839-120619-1,5,100,0.05,158,,,,
+1839-120619-2,5,100,0.05,104,0.0074,0.0464976751,,
+1839-120619-2,5,100,0.05,47,0.0069,0.2027898605,0.0008,0.0403479826
+1839-120619-3,5,100,0.05,131,,,,
+1839-200619-1,5,100,0.05,145,,,,
+1839-200619-2,5,100,0.05,96,0.0065,0.1064946753,,
+1839-290519-1,5,100,0.05,133,,,,
+1839-290519-1,5,100,0.05,137,,,,
+1839-290519-2,5,100,0.05,125,0.0073,0.2147892605,,
+1839-290519-2,5,100,0.05,146,0.0256,0.003899805,0.0077,0.0007499625
+1839-290519-2,5,100,0.05,148,0.0064,0.0082495875,,
+1839-290519-2,5,100,0.05,95,0.0077,0.0706464677,,
+1839-290519-3,5,100,0.05,115,,,,
+1839-290519-3,5,100,0.05,119,,,,
+1839-060619-3,6,100,0.05,91,0.0088,0.3148342583,0.0035,0.0043497825
+1839-060619-5,6,100,0.05,142,0.0092,0.0816741833,0.0037,0.0004949951
+1839-060619-5,6,100,0.05,162,0.0097,0.0424595754,,
+1839-060619-5,6,100,0.05,166,0.0094,0.0470795292,0.0034,0.0009349907
+1839-060619-5,6,100,0.05,168,0.0089,0.0437795622,0.0004,0.0007149929
+1839-120619-1,6,100,0.05,143,,,,
+1839-120619-4,6,100,0.05,140,0.008,0.0175448246,0.0008,0.0008799912
+1839-120619-2,6,100,0.05,106,0.0072,0.0242987851,0.0006,0.0004499775
+1839-120619-3,6,100,0.05,133,,,,
+1839-120619-2,6,100,0.05,51,0.0077,0.0250487476,,
+1839-120619-2,6,100,0.05,86,0.0082,0.0314984251,,
+1839-120619-2,6,100,0.05,88,0.0086,0.3301334933,0.004,0.010499475
+1839-120619-4,6,100,0.05,124,0.0093,0.0831591684,0.0045,0.0096249038
+1839-120619-3,6,100,0.05,123,,,,
+1839-120619-3,6,100,0.05,125,,,,
+1839-120619-3,6,100,0.05,71,,,,
+1839-120619-4,6,100,0.05,106,0.008,0.001099989,,
+1839-120619-4,6,100,0.05,116,0.0076,0.0529644704,,
+1839-120619-4,6,100,0.05,122,0.0083,0.1184688153,,
+1839-120619-4,6,100,0.05,132,0.0075,0.0019249808,0.0017,0
+1839-120619-4,6,100,0.05,90,0.0089,0.0811241888,,
+1839-120619-4,6,100,0.05,92,0.0091,0.1039489605,0.0038,0.0023649764
+1839-200619-1,6,100,0.05,139,,,,
+1839-200619-2,6,100,0.05,112,0.0056,0.00419979,,
+1839-200619-2,6,100,0.05,114,0.0086,0.0806959652,0.0036,0.00239988
+1839-200619-2,6,100,0.05,48,0.006,0.0989950502,,
+1839-200619-2,6,100,0.05,54,0.0089,0.0509974501,0.0038,0.0013499325
+1839-200619-2,6,100,0.05,78,0.0074,0.0542972851,,
+1839-200619-2,6,100,0.05,89,0.0085,0.0664466777,,
+1839-200619-2,6,100,0.05,92,0.0093,0.0890955452,0.0035,0.003899805
+1839-200619-2,6,100,0.05,94,0.0084,0.0278986051,,
+1839-290519-1,6,100,0.05,116,,,,
+1839-290519-1,6,100,0.05,131,,,,
+1839-290519-2,6,100,0.05,113,0.0091,0.2864856757,0.0037,0.0175491225
+1839-290519-2,6,100,0.05,115,0.0078,0.1463926804,,
+1839-290519-3,7,100,0.05,113,,,,
+1839-120619-2,7,100,0.05,71,0.0069,0.1091945403,,
+1839-120619-3,7,100,0.05,119,,,,
+1839-060619-1,7,100,0.05,234,,,,
+1839-060619-5,7,100,0.05,183,0.0082,0.0694643054,0.0003,0.0080849192
+1839-060619-3,7,100,0.05,93,0.0077,0.190640468,,
+1839-120619-4,7,100,0.05,108,0.008,0.0698493015,,
+1839-120619-2,7,100,0.05,90,0.0065,0.0536973151,0.0004,0.0079496025
+1839-060619-4,7,100,0.05,200,,,,
+1839-060619-5,7,100,0.05,136,0.0081,0.0200197998,,
+1839-060619-4,7,100,0.05,227,,,,
+1839-290519-2,7,100,0.05,144,0.0078,0.0691465427,,
+1839-120619-1,7,100,0.05,152,,,,
+1839-120619-3,7,100,0.05,127,,,,
+1839-120619-4,7,100,0.05,128,0.0079,0.029699703,0.0005,0.0023649764
+1839-120619-4,7,100,0.05,138,0.0076,0.0272247278,,
+1839-200619-1,7,100,0.05,135,,,,
+1839-200619-2,7,100,0.05,116,0.0067,0.0142492875,,
+1839-200619-2,7,100,0.05,74,0.0067,0.0835458227,,
+1839-200619-2,7,100,0.05,90,0.009,0.1028948553,,
+1839-290519-1,7,100,0.05,114,,,,
+1839-290519-1,7,100,0.05,129,,,,
+1839-290519-1,7,100,0.05,139,,,,
+1839-290519-1,7,100,0.05,87,,,,
+1839-290519-2,7,100,0.05,109,0.0083,0.0916454177,,
+1839-290519-2,7,100,0.05,111,0.0069,0.0268486576,,
+1839-290519-2,7,100,0.05,135,0.0077,0.005699715,,
+1839-290519-2,7,100,0.05,142,0.0073,0.012899355,,
diff --git a/actions/stimulus-response/data/statistics/statistics_bs.csv b/actions/stimulus-response/data/statistics/statistics_bs.csv
new file mode 100644
index 000000000..feb4b39ee
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_bs.csv
@@ -0,0 +1,6 @@
+,T i peak,T e peak,P i peak,P e peak
+11 Hz,3.7e-03 ± 3.4e-04 (43),8.5e-03 ± 1.7e-04 (284),1.5e-02 ± 2.1e-03 (43),1.1e-01 ± 6.0e-03 (284)
+30 HZ,4.5e-03 ± 5.1e-04 (87),1.1e-02 ± 3.7e-04 (183),7.5e-03 ± 9.6e-04 (87),6.6e-02 ± 3.6e-03 (183)
+T test ind 11 Hz - 30 HZ,"-9.9e-01, 3.2e-01","-7.0e+00, 2.9e-11","2.8e+00, 6.8e-03","6.5e+00, 2.2e-10"
+T test pair 11 Hz - 30 HZ,,"-1.6e+00, 1.2e-01",,"6.6e+00, 1.5e-07"
+LMM 11 Hz - 30 HZ,"4.3e-01, 6.5e-04","3.4e-08, 2.7e-03","9.5e-03, -6.1e-03","9.3e-04, -4.8e-02"
diff --git a/actions/stimulus-response/data/statistics/statistics_bs.tex b/actions/stimulus-response/data/statistics/statistics_bs.tex
new file mode 100644
index 000000000..3175a8b1c
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_bs.tex
@@ -0,0 +1,11 @@
+\begin{tabular}{lllll}
+\toprule
+{} &                T i peak &                 T e peak &                P i peak &                 P e peak \\
+\midrule
+11 Hz                     &  3.7e-03 ± 3.4e-04 (43) &  8.5e-03 ± 1.7e-04 (284) &  1.5e-02 ± 2.1e-03 (43) &  1.1e-01 ± 6.0e-03 (284) \\
+30 HZ                     &  4.5e-03 ± 5.1e-04 (87) &  1.1e-02 ± 3.7e-04 (183) &  7.5e-03 ± 9.6e-04 (87) &  6.6e-02 ± 3.6e-03 (183) \\
+T test ind 11 Hz - 30 HZ  &       -9.9e-01, 3.2e-01 &        -7.0e+00, 2.9e-11 &        2.8e+00, 6.8e-03 &         6.5e+00, 2.2e-10 \\
+T test pair 11 Hz - 30 HZ &                     NaN &        -1.6e+00, 1.2e-01 &                     NaN &         6.6e+00, 1.5e-07 \\
+LMM 11 Hz - 30 HZ         &        4.3e-01, 6.5e-04 &         3.4e-08, 2.7e-03 &       9.5e-03, -6.1e-03 &        9.3e-04, -4.8e-02 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.csv b/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.csv
new file mode 100644
index 000000000..1b68a90ab
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.csv
@@ -0,0 +1,6 @@
+,T i peak,T e peak,P i peak,P e peak
+11 Hz,3.8e-03 ± 2.7e-04 (36),8.6e-03 ± 1.8e-04 (228),1.5e-02 ± 2.3e-03 (36),1.1e-01 ± 6.9e-03 (228)
+30 HZ,5.3e-03 ± 6.8e-04 (63),1.2e-02 ± 4.4e-04 (156),8.1e-03 ± 1.2e-03 (63),6.9e-02 ± 4.0e-03 (156)
+T test ind 11 Hz - 30 HZ,"-2.0e+00, 5.5e-02","-7.0e+00, 4.6e-11","2.2e+00, 3.3e-02","5.8e+00, 1.4e-08"
+T test pair 11 Hz - 30 HZ,,"-4.6e+00, 1.2e-04",,"6.3e+00, 1.6e-06"
+LMM 11 Hz - 30 HZ,"1.7e-01, 1.4e-03","4.9e-04, 2.4e-03","2.8e-02, -6.3e-03","2.3e-03, -4.6e-02"
diff --git a/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.tex b/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.tex
new file mode 100644
index 000000000..0f3acc540
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_bs_not_gridcell.tex
@@ -0,0 +1,11 @@
+\begin{tabular}{lllll}
+\toprule
+{} &                T i peak &                 T e peak &                P i peak &                 P e peak \\
+\midrule
+11 Hz                     &  3.8e-03 ± 2.7e-04 (36) &  8.6e-03 ± 1.8e-04 (228) &  1.5e-02 ± 2.3e-03 (36) &  1.1e-01 ± 6.9e-03 (228) \\
+30 HZ                     &  5.3e-03 ± 6.8e-04 (63) &  1.2e-02 ± 4.4e-04 (156) &  8.1e-03 ± 1.2e-03 (63) &  6.9e-02 ± 4.0e-03 (156) \\
+T test ind 11 Hz - 30 HZ  &       -2.0e+00, 5.5e-02 &        -7.0e+00, 4.6e-11 &        2.2e+00, 3.3e-02 &         5.8e+00, 1.4e-08 \\
+T test pair 11 Hz - 30 HZ &                     NaN &        -4.6e+00, 1.2e-04 &                     NaN &         6.3e+00, 1.6e-06 \\
+LMM 11 Hz - 30 HZ         &        1.7e-01, 1.4e-03 &         4.9e-04, 2.4e-03 &       2.8e-02, -6.3e-03 &        2.3e-03, -4.6e-02 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/statistics_gridcell.csv b/actions/stimulus-response/data/statistics/statistics_gridcell.csv
new file mode 100644
index 000000000..5918adb67
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_gridcell.csv
@@ -0,0 +1,6 @@
+,T i peak,T e peak,P i peak,P e peak
+11 Hz,3.1e-03 ± 1.2e-03 (8),8.5e-03 ± 3.2e-04 (58),1.0e-02 ± 4.5e-03 (8),1.2e-01 ± 1.1e-02 (58)
+30 HZ,2.9e-03 ± 3.9e-04 (25),1.1e-02 ± 5.7e-04 (33),3.7e-03 ± 6.1e-04 (25),4.7e-02 ± 5.7e-03 (33)
+T test ind 11 Hz - 30 HZ,"7.3e-01, 4.8e-01","-2.1e+00, 3.8e-02","1.7e+00, 1.4e-01","3.9e+00, 1.8e-04"
+T test pair 11 Hz - 30 HZ,,"1.5e-01, 8.8e-01",,"2.5e+00, 3.6e-02"
+LMM 11 Hz - 30 HZ,"5.9e-01, -8.6e-04","1.1e-02, 1.9e-03","9.5e-03, -7.4e-03","4.5e-03, -6.8e-02"
diff --git a/actions/stimulus-response/data/statistics/statistics_gridcell.tex b/actions/stimulus-response/data/statistics/statistics_gridcell.tex
new file mode 100644
index 000000000..b4f7c058c
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_gridcell.tex
@@ -0,0 +1,11 @@
+\begin{tabular}{lllll}
+\toprule
+{} &                T i peak &                T e peak &                P i peak &                P e peak \\
+\midrule
+11 Hz                     &   3.1e-03 ± 1.2e-03 (8) &  8.5e-03 ± 3.2e-04 (58) &   1.0e-02 ± 4.5e-03 (8) &  1.2e-01 ± 1.1e-02 (58) \\
+30 HZ                     &  2.9e-03 ± 3.9e-04 (25) &  1.1e-02 ± 5.7e-04 (33) &  3.7e-03 ± 6.1e-04 (25) &  4.7e-02 ± 5.7e-03 (33) \\
+T test ind 11 Hz - 30 HZ  &        7.3e-01, 4.8e-01 &       -2.1e+00, 3.8e-02 &        1.7e+00, 1.4e-01 &        3.9e+00, 1.8e-04 \\
+T test pair 11 Hz - 30 HZ &                     NaN &        1.5e-01, 8.8e-01 &                     NaN &        2.5e+00, 3.6e-02 \\
+LMM 11 Hz - 30 HZ         &       5.9e-01, -8.6e-04 &        1.1e-02, 1.9e-03 &       9.5e-03, -7.4e-03 &       4.5e-03, -6.8e-02 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/statistics_ns_inhibited.csv b/actions/stimulus-response/data/statistics/statistics_ns_inhibited.csv
new file mode 100644
index 000000000..16607131b
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_ns_inhibited.csv
@@ -0,0 +1,6 @@
+,T i peak,T e peak,P i peak,P e peak
+11 Hz,4.1e-03 ± 1.5e-04 (22),9.0e-03 ± 2.4e-04 (25),1.8e-02 ± 3.1e-03 (22),1.7e-01 ± 2.5e-02 (25)
+30 HZ,5.6e-03 ± 6.3e-04 (32),1.4e-02 ± 1.0e-03 (32),1.2e-02 ± 1.6e-03 (32),1.2e-01 ± 1.0e-02 (32)
+T test ind 11 Hz - 30 HZ,"-2.1e+00, 4.1e-02","-4.6e+00, 6.3e-05","1.2e+00, 2.5e-01","2.0e+00, 5.5e-02"
+T test pair 11 Hz - 30 HZ,"-1.9e+00, 1.2e-01","-1.5e+00, 1.8e-01","5.4e+00, 5.5e-03","3.8e+00, 6.4e-03"
+LMM 11 Hz - 30 HZ,"2.5e-01, 8.1e-04","3.5e-02, 4.9e-03",,"1.9e-02, -6.3e-02"
diff --git a/actions/stimulus-response/data/statistics/statistics_ns_inhibited.tex b/actions/stimulus-response/data/statistics/statistics_ns_inhibited.tex
new file mode 100644
index 000000000..044c35426
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_ns_inhibited.tex
@@ -0,0 +1,11 @@
+\begin{tabular}{lllll}
+\toprule
+{} &                T i peak &                T e peak &                P i peak &                P e peak \\
+\midrule
+11 Hz                     &  4.1e-03 ± 1.5e-04 (22) &  9.0e-03 ± 2.4e-04 (25) &  1.8e-02 ± 3.1e-03 (22) &  1.7e-01 ± 2.5e-02 (25) \\
+30 HZ                     &  5.6e-03 ± 6.3e-04 (32) &  1.4e-02 ± 1.0e-03 (32) &  1.2e-02 ± 1.6e-03 (32) &  1.2e-01 ± 1.0e-02 (32) \\
+T test ind 11 Hz - 30 HZ  &       -2.1e+00, 4.1e-02 &       -4.6e+00, 6.3e-05 &        1.2e+00, 2.5e-01 &        2.0e+00, 5.5e-02 \\
+T test pair 11 Hz - 30 HZ &       -1.9e+00, 1.2e-01 &       -1.5e+00, 1.8e-01 &        5.4e+00, 5.5e-03 &        3.8e+00, 6.4e-03 \\
+LMM 11 Hz - 30 HZ         &        2.5e-01, 8.1e-04 &        3.5e-02, 4.9e-03 &                     NaN &       1.9e-02, -6.3e-02 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.csv b/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.csv
new file mode 100644
index 000000000..70d1cc7bf
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.csv
@@ -0,0 +1,6 @@
+,T i peak,T e peak,P i peak,P e peak
+11 Hz,,8.4e-03 ± 2.7e-04 (31),,1.5e-01 ± 1.6e-02 (31)
+30 HZ,,1.1e-02 ± 1.0e-03 (12),,1.1e-01 ± 2.3e-02 (12)
+T test ind 11 Hz - 30 HZ,,"-2.1e+00, 5.5e-02",,"1.9e+00, 6.3e-02"
+T test pair 11 Hz - 30 HZ,,"-1.4e+01, 8.6e-04",,"2.5e+00, 9.0e-02"
+LMM 11 Hz - 30 HZ,,"1.2e-02, 2.0e-03",,"3.4e-01, -6.9e-02"
diff --git a/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.tex b/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.tex
new file mode 100644
index 000000000..1b1d6e6f7
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/statistics_ns_not_inhibited.tex
@@ -0,0 +1,11 @@
+\begin{tabular}{lrlrl}
+\toprule
+{} &  T i peak &                T e peak &  P i peak &                P e peak \\
+\midrule
+11 Hz                     &       NaN &  8.4e-03 ± 2.7e-04 (31) &       NaN &  1.5e-01 ± 1.6e-02 (31) \\
+30 HZ                     &       NaN &  1.1e-02 ± 1.0e-03 (12) &       NaN &  1.1e-01 ± 2.3e-02 (12) \\
+T test ind 11 Hz - 30 HZ  &       NaN &       -2.1e+00, 5.5e-02 &       NaN &        1.9e+00, 6.3e-02 \\
+T test pair 11 Hz - 30 HZ &       NaN &       -1.4e+01, 8.6e-04 &       NaN &        2.5e+00, 9.0e-02 \\
+LMM 11 Hz - 30 HZ         &       NaN &        1.2e-02, 2.0e-03 &       NaN &       3.4e-01, -6.9e-02 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.csv b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.csv
new file mode 100644
index 000000000..1f347f753
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.csv
@@ -0,0 +1,370 @@
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+99,1849,813,3,280219,0.06389680519999999,0.04823451769999999
+257,1849,816,3,280219,,0.0389946101
+258,1849,817,3,280219,,0.09300407
+259,1849,818,3,280219,,0.1061489385
+149,1849,822,4,60319,0.4219289036,
+317,1849,824,4,60319,,0.0749642504
+12,1849,825,4,110319,0.3250337483,
+86,1849,832,4,150319,0.2203389831,
+49,1849,840,4,220319,0.1709914504,
+100,1849,843,4,280219,0.0295485226,
+150,1849,854,5,60319,0.2983350832,
+151,1849,855,5,60319,0.032848357599999996,
+318,1849,856,5,60319,,
+13,1849,860,5,110319,0.22093895309999997,
+14,1849,861,5,110319,0.2840857957,
+87,1849,867,5,150319,0.15074246289999998,
+88,1849,868,5,150319,0.1838908055,0.09069409310000001
+89,1849,869,5,150319,0.2630868457,
+90,1849,870,5,150319,0.22423878809999997,
+329,1849,873,5,150319,,
+50,1849,877,5,220319,0.1418929054,
+51,1849,878,5,220319,0.211939403,
+52,1849,879,5,220319,0.395380231,
+375,1849,883,5,220319,,0.06555934440000001
+376,1849,884,5,220319,,
+377,1849,885,5,220319,,0.09069409310000001
+378,1849,886,5,220319,,
+101,1849,888,5,280219,0.2884355782,
+319,1849,901,6,60319,,0.0432845672
+320,1849,902,6,60319,,0.0024749753
+102,1849,909,6,280219,0.211939403,
+103,1849,910,6,280219,0.1481925904,
+260,1849,916,6,280219,,0.063799362
+261,1849,917,6,280219,,0.1235837642
+262,1849,918,7,280219,,
+152,1849,924,7,60319,0.044847757599999996,
+153,1849,925,7,60319,0.14729263539999998,
+154,1849,926,7,60319,0.031048447599999997,
+321,1849,929,7,60319,,0.080904191
+104,1849,934,7,280219,0.00179991,
+105,1849,935,7,280219,0.00719964,
+106,1849,936,7,280219,0.1619919004,
+263,1849,940,7,280219,,0.023319766800000002
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.tex b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.tex
new file mode 100644
index 000000000..2f7a3098b
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_e_peak.tex
@@ -0,0 +1,375 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+264 &    1833 &           0 &              0 &   20719 &       NaN &  0.039600 \\
+216 &    1833 &           1 &              0 &   10719 &  0.108595 &       NaN \\
+217 &    1833 &           3 &              0 &   10719 &  0.022349 &       NaN \\
+218 &    1833 &           4 &              0 &   10719 &  0.024599 &       NaN \\
+219 &    1833 &           6 &              0 &   10719 &  0.058347 &       NaN \\
+220 &    1833 &           7 &              0 &   10719 &  0.033298 &       NaN \\
+171 &    1833 &          10 &              0 &   20719 &  0.086846 &  0.062094 \\
+172 &    1833 &          12 &              0 &   20719 &  0.097795 &       NaN \\
+265 &    1833 &          18 &              0 &   20719 &       NaN &  0.085414 \\
+361 &    1833 &          20 &              0 &   60619 &       NaN &  0.014135 \\
+128 &    1833 &          21 &              0 &  120619 &  0.015149 &       NaN \\
+182 &    1833 &          24 &              0 &  200619 &  0.049648 &       NaN \\
+297 &    1833 &          28 &              0 &  200619 &       NaN &  0.007810 \\
+298 &    1833 &          29 &              0 &  200619 &       NaN &  0.002035 \\
+190 &    1833 &          41 &              0 &  290519 &  0.027599 &       NaN \\
+173 &    1833 &          50 &              1 &   20719 &  0.079946 &       NaN \\
+174 &    1833 &          51 &              1 &   20719 &  0.062247 &       NaN \\
+223 &    1833 &          54 &              1 &   10719 &  0.011249 &       NaN \\
+266 &    1833 &          62 &              1 &   20719 &       NaN &  0.121109 \\
+362 &    1833 &          70 &              1 &   60619 &       NaN &  0.115719 \\
+183 &    1833 &          75 &              1 &  200619 &  0.139643 &       NaN \\
+300 &    1833 &          76 &              1 &  200619 &       NaN &  0.086349 \\
+37  &    1833 &          80 &              1 &  260619 &  0.168592 &       NaN \\
+338 &    1833 &          82 &              1 &  260619 &       NaN &  0.123628 \\
+339 &    1833 &          85 &              1 &  260619 &       NaN &  0.025708 \\
+191 &    1833 &          90 &              1 &  290519 &  0.022199 &       NaN \\
+192 &    1833 &          92 &              1 &  290519 &  0.061647 &       NaN \\
+348 &    1833 &          95 &              1 &  290519 &       NaN &  0.045485 \\
+224 &    1833 &          98 &              2 &   10719 &  0.010949 &       NaN \\
+175 &    1833 &         100 &              2 &   20719 &  0.168742 &       NaN \\
+176 &    1833 &         101 &              2 &   20719 &  0.000750 &       NaN \\
+177 &    1833 &         102 &              2 &   20719 &       NaN &       NaN \\
+267 &    1833 &         105 &              2 &   20719 &       NaN &  0.172808 \\
+129 &    1833 &         110 &              2 &  120619 &  0.026849 &       NaN \\
+38  &    1833 &         114 &              2 &  260619 &  0.116094 &       NaN \\
+193 &    1833 &         115 &              2 &  290519 &  0.171441 &       NaN \\
+194 &    1833 &         116 &              2 &  290519 &  0.063447 &       NaN \\
+225 &    1833 &         122 &              3 &   10719 &  0.004350 &       NaN \\
+226 &    1833 &         123 &              3 &   10719 &  0.003000 &       NaN \\
+227 &    1833 &         125 &              3 &   10719 &  0.001650 &       NaN \\
+228 &    1833 &         126 &              3 &   10719 &  0.000150 &       NaN \\
+229 &    1833 &         127 &              3 &   10719 &  0.034198 &       NaN \\
+178 &    1833 &         133 &              3 &   20719 &  0.042898 &       NaN \\
+268 &    1833 &         138 &              3 &   20719 &       NaN &  0.055109 \\
+269 &    1833 &         139 &              3 &   20719 &       NaN &  0.020240 \\
+270 &    1833 &         140 &              3 &   20719 &       NaN &  0.008580 \\
+184 &    1833 &         148 &              3 &  200619 &  0.129594 &       NaN \\
+340 &    1833 &         152 &              3 &  260619 &       NaN &  0.021307 \\
+341 &    1833 &         153 &              3 &  260619 &       NaN &  0.076011 \\
+195 &    1833 &         158 &              3 &  290519 &  0.035998 &       NaN \\
+196 &    1833 &         159 &              3 &  290519 &  0.047548 &       NaN \\
+230 &    1833 &         162 &              4 &   10719 &       NaN &       NaN \\
+123 &    1833 &         169 &              4 &   50619 &  0.034648 &       NaN \\
+185 &    1833 &         175 &              4 &  200619 &  0.098545 &       NaN \\
+301 &    1833 &         177 &              4 &  200619 &       NaN &       NaN \\
+231 &    1833 &         189 &              5 &   10719 &  0.092695 &       NaN \\
+179 &    1833 &         191 &              5 &   20719 &  0.337633 &       NaN \\
+180 &    1833 &         192 &              5 &   20719 &  0.059547 &       NaN \\
+271 &    1833 &         194 &              5 &   20719 &       NaN &  0.155318 \\
+363 &    1833 &         197 &              5 &   60619 &       NaN &  0.152513 \\
+364 &    1833 &         199 &              5 &   60619 &       NaN &  0.040645 \\
+349 &    1833 &         216 &              5 &  290519 &       NaN &  0.043230 \\
+232 &    1833 &         223 &              6 &   10719 &  0.221239 &       NaN \\
+181 &    1833 &         225 &              6 &   20719 &  0.452377 &       NaN \\
+272 &    1833 &         227 &              6 &   20719 &       NaN &  0.151303 \\
+273 &    1833 &         228 &              6 &   20719 &       NaN &  0.094709 \\
+124 &    1833 &         230 &              6 &   50619 &  0.021749 &       NaN \\
+350 &    1833 &         232 &              6 &  290519 &       NaN &  0.098119 \\
+125 &    1833 &         235 &              6 &   50619 &  0.092845 &       NaN \\
+126 &    1833 &         236 &              6 &   50619 &  0.252587 &       NaN \\
+367 &    1833 &         241 &              6 &   60619 &       NaN &  0.006875 \\
+368 &    1833 &         242 &              6 &   60619 &       NaN &  0.123749 \\
+346 &    1833 &         247 &              6 &  120619 &       NaN &  0.011000 \\
+186 &    1833 &         255 &              6 &  200619 &  0.345583 &       NaN \\
+187 &    1833 &         256 &              6 &  200619 &  0.038548 &       NaN \\
+302 &    1833 &         259 &              6 &  200619 &       NaN &  0.197943 \\
+303 &    1833 &         262 &              6 &  200619 &       NaN &  0.106094 \\
+39  &    1833 &         266 &              6 &  260619 &  0.088796 &       NaN \\
+40  &    1833 &         267 &              6 &  260619 &  0.091495 &       NaN \\
+41  &    1833 &         268 &              6 &  260619 &  0.062847 &       NaN \\
+42  &    1833 &         269 &              6 &  260619 &  0.050997 &       NaN \\
+342 &    1833 &         271 &              6 &  260619 &       NaN &  0.049470 \\
+343 &    1833 &         272 &              6 &  260619 &       NaN &  0.100977 \\
+344 &    1833 &         273 &              6 &  260619 &       NaN &  0.029784 \\
+197 &    1833 &         283 &              6 &  290519 &  0.062847 &       NaN \\
+351 &    1833 &         290 &              6 &  290519 &       NaN &  0.094104 \\
+352 &    1833 &         291 &              6 &  290519 &       NaN &  0.108294 \\
+353 &    1833 &         292 &              6 &  290519 &       NaN &  0.084424 \\
+233 &    1833 &         294 &              7 &   10719 &  0.045598 &       NaN \\
+234 &    1833 &         296 &              7 &   10719 &  0.037948 &       NaN \\
+235 &    1833 &         297 &              7 &   10719 &  0.013199 &       NaN \\
+127 &    1833 &         298 &              7 &   50619 &  0.119694 &       NaN \\
+369 &    1833 &         300 &              7 &   60619 &       NaN &  0.107524 \\
+347 &    1833 &         303 &              7 &  120619 &       NaN &  0.106644 \\
+188 &    1833 &         305 &              7 &  200619 &  0.006450 &       NaN \\
+189 &    1833 &         306 &              7 &  200619 &       NaN &       NaN \\
+345 &    1833 &         311 &              7 &  260619 &       NaN &  0.091343 \\
+354 &    1833 &         323 &              7 &  290519 &       NaN &  0.026730 \\
+355 &    1833 &         325 &              7 &  290519 &       NaN &  0.052964 \\
+356 &    1833 &         326 &              7 &  290519 &       NaN &  0.040425 \\
+107 &    1834 &         330 &              0 &   10319 &  0.308385 &       NaN \\
+155 &    1834 &         332 &              0 &  110319 &  0.231288 &       NaN \\
+156 &    1834 &         341 &              0 &  110319 &  0.258437 &       NaN \\
+26  &    1834 &         343 &              0 &  120319 &  0.253937 &  0.112694 \\
+15  &    1834 &         345 &              0 &  220319 &  0.201290 &  0.086899 \\
+108 &    1834 &         348 &              1 &   10319 &  0.041698 &       NaN \\
+130 &    1834 &         350 &              1 &   60319 &  0.018749 &       NaN \\
+27  &    1834 &         352 &              1 &  120319 &  0.016199 &       NaN \\
+131 &    1834 &         353 &              2 &   60319 &  0.132143 &       NaN \\
+28  &    1834 &         354 &              2 &  120319 &  0.024899 &       NaN \\
+29  &    1834 &         355 &              2 &  120319 &  0.008850 &       NaN \\
+247 &    1834 &         357 &              2 &  120319 &       NaN &  0.108954 \\
+304 &    1834 &         367 &              3 &   10319 &       NaN &  0.056264 \\
+305 &    1834 &         368 &              3 &   10319 &       NaN &  0.073424 \\
+132 &    1834 &         371 &              3 &   60319 &  0.298785 &  0.079364 \\
+133 &    1834 &         372 &              3 &   60319 &  0.050097 &       NaN \\
+330 &    1834 &         373 &              3 &   60319 &       NaN &  0.003905 \\
+157 &    1834 &         374 &              3 &  110319 &  0.219589 &       NaN \\
+30  &    1834 &         376 &              3 &  120319 &  0.344983 &       NaN \\
+31  &    1834 &         377 &              3 &  120319 &  0.113844 &       NaN \\
+248 &    1834 &         378 &              3 &  120319 &       NaN &  0.151358 \\
+54  &    1834 &         380 &              3 &  150319 &  0.203390 &       NaN \\
+274 &    1834 &         383 &              3 &  150319 &       NaN &  0.056594 \\
+16  &    1834 &         384 &              3 &  220319 &  0.203390 &  0.077989 \\
+109 &    1834 &         387 &              4 &   10319 &  0.035848 &       NaN \\
+110 &    1834 &         388 &              4 &   10319 &  0.025799 &       NaN \\
+111 &    1834 &         389 &              4 &   10319 &  0.069597 &       NaN \\
+112 &    1834 &         390 &              4 &   10319 &  0.130793 &       NaN \\
+17  &    1834 &         402 &              4 &  220319 &  0.034798 &       NaN \\
+287 &    1834 &         404 &              4 &  220319 &       NaN &  0.039600 \\
+288 &    1834 &         405 &              4 &  220319 &       NaN &  0.009185 \\
+289 &    1834 &         406 &              4 &  220319 &       NaN &  0.022770 \\
+290 &    1834 &         407 &              4 &  220319 &       NaN &  0.124079 \\
+113 &    1834 &         410 &              5 &   10319 &  0.277486 &       NaN \\
+114 &    1834 &         411 &              5 &   10319 &  0.166792 &       NaN \\
+306 &    1834 &         413 &              5 &   10319 &       NaN &  0.223188 \\
+307 &    1834 &         414 &              5 &   10319 &       NaN &  0.135189 \\
+134 &    1834 &         416 &              5 &   60319 &  0.394930 &       NaN \\
+135 &    1834 &         417 &              5 &   60319 &  0.134243 &       NaN \\
+331 &    1834 &         420 &              5 &   60319 &       NaN &  0.033275 \\
+332 &    1834 &         421 &              5 &   60319 &       NaN &  0.107524 \\
+158 &    1834 &         423 &              5 &  110319 &  0.056847 &       NaN \\
+159 &    1834 &         424 &              5 &  110319 &  0.154492 &       NaN \\
+160 &    1834 &         425 &              5 &  110319 &  0.136343 &       NaN \\
+32  &    1834 &         428 &              5 &  120319 &  0.180441 &  0.075679 \\
+249 &    1834 &         430 &              5 &  120319 &       NaN &  0.038115 \\
+250 &    1834 &         431 &              5 &  120319 &       NaN &  0.024310 \\
+55  &    1834 &         436 &              5 &  150319 &  0.121494 &       NaN \\
+275 &    1834 &         437 &              5 &  150319 &       NaN &  0.006545 \\
+276 &    1834 &         439 &              5 &  150319 &       NaN &  0.056979 \\
+277 &    1834 &         440 &              5 &  150319 &       NaN &  0.085634 \\
+278 &    1834 &         441 &              5 &  150319 &       NaN &  0.002310 \\
+279 &    1834 &         442 &              5 &  150319 &       NaN &  0.082884 \\
+280 &    1834 &         443 &              5 &  150319 &       NaN &  0.003960 \\
+115 &    1834 &         446 &              6 &   10319 &  0.290685 &       NaN \\
+116 &    1834 &         447 &              6 &   10319 &  0.375581 &       NaN \\
+117 &    1834 &         448 &              6 &   10319 &  0.015449 &       NaN \\
+308 &    1834 &         449 &              6 &   10319 &       NaN &  0.219943 \\
+309 &    1834 &         450 &              6 &   10319 &       NaN &  0.158233 \\
+310 &    1834 &         451 &              6 &   10319 &       NaN &  0.005445 \\
+136 &    1834 &         452 &              6 &   60319 &  0.292035 &       NaN \\
+137 &    1834 &         453 &              6 &   60319 &  0.111444 &       NaN \\
+138 &    1834 &         454 &              6 &   60319 &  0.155392 &       NaN \\
+139 &    1834 &         455 &              6 &   60319 &  0.067497 &  0.090254 \\
+333 &    1834 &         457 &              6 &   60319 &       NaN &  0.113574 \\
+334 &    1834 &         458 &              6 &   60319 &       NaN &  0.160323 \\
+161 &    1834 &         461 &              6 &  110319 &  0.173691 &       NaN \\
+162 &    1834 &         462 &              6 &  110319 &  0.188241 &       NaN \\
+163 &    1834 &         464 &              6 &  110319 &  0.003000 &       NaN \\
+164 &    1834 &         465 &              6 &  110319 &  0.010799 &       NaN \\
+33  &    1834 &         472 &              6 &  120319 &  0.224239 &  0.110659 \\
+56  &    1834 &         473 &              6 &  150319 &  0.186141 &  0.157573 \\
+57  &    1834 &         474 &              6 &  150319 &  0.160042 &       NaN \\
+281 &    1834 &         477 &              6 &  150319 &       NaN &  0.101474 \\
+18  &    1834 &         483 &              6 &  220319 &  0.296835 &       NaN \\
+19  &    1834 &         484 &              6 &  220319 &  0.047548 &       NaN \\
+20  &    1834 &         485 &              6 &  220319 &  0.041698 &       NaN \\
+21  &    1834 &         486 &              6 &  220319 &  0.077546 &       NaN \\
+291 &    1834 &         487 &              6 &  220319 &       NaN &  0.048840 \\
+292 &    1834 &         488 &              6 &  220319 &       NaN &  0.035805 \\
+293 &    1834 &         489 &              6 &  220319 &       NaN &  0.109339 \\
+118 &    1834 &         492 &              7 &   10319 &  0.129294 &       NaN \\
+119 &    1834 &         493 &              7 &   10319 &  0.153442 &       NaN \\
+120 &    1834 &         494 &              7 &   10319 &  0.067947 &       NaN \\
+121 &    1834 &         495 &              7 &   10319 &  0.147593 &       NaN \\
+122 &    1834 &         496 &              7 &   10319 &  0.286636 &       NaN \\
+311 &    1834 &         497 &              7 &   10319 &       NaN &  0.154988 \\
+312 &    1834 &         499 &              7 &   10319 &       NaN &  0.123749 \\
+313 &    1834 &         500 &              7 &   10319 &       NaN &  0.023320 \\
+314 &    1834 &         501 &              7 &   10319 &       NaN &  0.091959 \\
+140 &    1834 &         504 &              7 &   60319 &  0.050997 &       NaN \\
+141 &    1834 &         505 &              7 &   60319 &  0.119844 &       NaN \\
+142 &    1834 &         506 &              7 &   60319 &  0.170391 &  0.103179 \\
+143 &    1834 &         507 &              7 &   60319 &  0.063897 &  0.042570 \\
+144 &    1834 &         508 &              7 &   60319 &  0.097345 &  0.031405 \\
+335 &    1834 &         510 &              7 &   60319 &       NaN &  0.076229 \\
+336 &    1834 &         511 &              7 &   60319 &       NaN &  0.011550 \\
+165 &    1834 &         512 &              7 &  110319 &  0.040798 &       NaN \\
+166 &    1834 &         514 &              7 &  110319 &  0.191240 &       NaN \\
+167 &    1834 &         516 &              7 &  110319 &  0.001800 &       NaN \\
+168 &    1834 &         517 &              7 &  110319 &  0.022049 &       NaN \\
+169 &    1834 &         519 &              7 &  110319 &  0.003600 &       NaN \\
+170 &    1834 &         520 &              7 &  110319 &  0.001950 &       NaN \\
+34  &    1834 &         527 &              7 &  120319 &  0.175791 &  0.146739 \\
+35  &    1834 &         529 &              7 &  120319 &  0.002550 &  0.000990 \\
+36  &    1834 &         530 &              7 &  120319 &  0.193340 &       NaN \\
+58  &    1834 &         537 &              7 &  150319 &  0.130043 &       NaN \\
+59  &    1834 &         538 &              7 &  150319 &  0.115944 &       NaN \\
+60  &    1834 &         539 &              7 &  150319 &  0.005100 &       NaN \\
+61  &    1834 &         540 &              7 &  150319 &  0.224539 &       NaN \\
+62  &    1834 &         541 &              7 &  150319 &  0.044248 &       NaN \\
+63  &    1834 &         542 &              7 &  150319 &  0.010349 &       NaN \\
+282 &    1834 &         550 &              7 &  150319 &       NaN &  0.057254 \\
+283 &    1834 &         551 &              7 &  150319 &       NaN &  0.106864 \\
+284 &    1834 &         552 &              7 &  150319 &       NaN &  0.131944 \\
+285 &    1834 &         553 &              7 &  150319 &       NaN &  0.108954 \\
+286 &    1834 &         554 &              7 &  150319 &       NaN &  0.011055 \\
+22  &    1834 &         560 &              7 &  220319 &  0.270286 &       NaN \\
+23  &    1834 &         561 &              7 &  220319 &  0.049948 &  0.012980 \\
+24  &    1834 &         562 &              7 &  220319 &  0.071246 &       NaN \\
+25  &    1834 &         563 &              7 &  220319 &  0.121344 &       NaN \\
+294 &    1834 &         566 &              7 &  220319 &       NaN &  0.105984 \\
+295 &    1834 &         567 &              7 &  220319 &       NaN &  0.001760 \\
+296 &    1834 &         568 &              7 &  220319 &       NaN &  0.002255 \\
+198 &    1839 &         569 &              0 &  120619 &  0.002850 &       NaN \\
+64  &    1839 &         574 &              0 &  290519 &  0.006600 &       NaN \\
+236 &    1839 &         576 &              1 &  120619 &       NaN &  0.012045 \\
+203 &    1839 &         579 &              1 &  200619 &  0.001350 &       NaN \\
+237 &    1839 &         583 &              3 &  120619 &       NaN &  0.000935 \\
+204 &    1839 &         585 &              3 &  200619 &  0.001950 &       NaN \\
+0   &    1839 &         587 &              4 &   60619 &  0.318734 &       NaN \\
+357 &    1839 &         589 &              4 &   60619 &       NaN &  0.044055 \\
+199 &    1839 &         590 &              4 &  120619 &  0.392080 &       NaN \\
+238 &    1839 &         593 &              4 &  120619 &       NaN &  0.062919 \\
+239 &    1839 &         594 &              4 &  120619 &       NaN &  0.118084 \\
+240 &    1839 &         595 &              4 &  120619 &       NaN &  0.068749 \\
+241 &    1839 &         596 &              4 &  120619 &       NaN &  0.058739 \\
+205 &    1839 &         598 &              4 &  200619 &  0.064497 &       NaN \\
+206 &    1839 &         599 &              4 &  200619 &  0.066597 &       NaN \\
+207 &    1839 &         600 &              4 &  200619 &  0.030748 &       NaN \\
+65  &    1839 &         602 &              4 &  290519 &  0.285436 &       NaN \\
+66  &    1839 &         603 &              4 &  290519 &  0.114594 &       NaN \\
+1   &    1839 &         606 &              5 &   60619 &  0.160792 &  0.073754 \\
+358 &    1839 &         608 &              5 &   60619 &       NaN &  0.021065 \\
+200 &    1839 &         610 &              5 &  120619 &  0.046498 &       NaN \\
+208 &    1839 &         614 &              5 &  200619 &  0.106495 &       NaN \\
+67  &    1839 &         618 &              5 &  290519 &  0.003900 &       NaN \\
+68  &    1839 &         619 &              5 &  290519 &  0.008250 &       NaN \\
+69  &    1839 &         620 &              5 &  290519 &  0.070646 &       NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.314834 &       NaN \\
+359 &    1839 &         626 &              6 &   60619 &       NaN &  0.047080 \\
+360 &    1839 &         627 &              6 &   60619 &       NaN &  0.043780 \\
+201 &    1839 &         630 &              6 &  120619 &  0.025049 &       NaN \\
+202 &    1839 &         631 &              6 &  120619 &  0.031498 &       NaN \\
+242 &    1839 &         636 &              6 &  120619 &       NaN &  0.001100 \\
+243 &    1839 &         637 &              6 &  120619 &       NaN &  0.052964 \\
+244 &    1839 &         638 &              6 &  120619 &       NaN &  0.118469 \\
+245 &    1839 &         639 &              6 &  120619 &       NaN &  0.001925 \\
+246 &    1839 &         640 &              6 &  120619 &       NaN &  0.081124 \\
+209 &    1839 &         643 &              6 &  200619 &  0.004200 &       NaN \\
+210 &    1839 &         647 &              6 &  200619 &  0.054297 &       NaN \\
+211 &    1839 &         648 &              6 &  200619 &  0.066447 &       NaN \\
+212 &    1839 &         650 &              6 &  200619 &  0.027899 &       NaN \\
+70  &    1839 &         653 &              6 &  290519 &  0.286486 &       NaN \\
+71  &    1839 &         654 &              6 &  290519 &  0.146393 &       NaN \\
+72  &    1839 &         657 &              7 &  290519 &  0.069147 &       NaN \\
+213 &    1839 &         662 &              7 &  200619 &  0.014249 &       NaN \\
+214 &    1839 &         663 &              7 &  200619 &  0.083546 &       NaN \\
+215 &    1839 &         664 &              7 &  200619 &  0.102895 &       NaN \\
+73  &    1839 &         669 &              7 &  290519 &  0.091645 &       NaN \\
+74  &    1839 &         670 &              7 &  290519 &  0.026849 &       NaN \\
+75  &    1839 &         672 &              7 &  290519 &  0.012899 &       NaN \\
+3   &    1849 &         676 &              0 &  110319 &  0.332233 &       NaN \\
+76  &    1849 &         677 &              0 &  150319 &  0.136793 &  0.052854 \\
+77  &    1849 &         679 &              0 &  150319 &  0.150742 &       NaN \\
+322 &    1849 &         681 &              0 &  150319 &       NaN &  0.016995 \\
+323 &    1849 &         682 &              0 &  150319 &       NaN &  0.081069 \\
+370 &    1849 &         683 &              0 &  220319 &       NaN &  0.154988 \\
+91  &    1849 &         686 &              0 &  280219 &  0.347683 &       NaN \\
+251 &    1849 &         689 &              0 &  280219 &       NaN &  0.196128 \\
+252 &    1849 &         690 &              0 &  280219 &       NaN &  0.167418 \\
+371 &    1849 &         691 &              1 &  220319 &       NaN &  0.064844 \\
+315 &    1849 &         708 &              1 &   60319 &       NaN &  0.071884 \\
+4   &    1849 &         714 &              1 &  110319 &  0.111744 &       NaN \\
+5   &    1849 &         716 &              1 &  110319 &  0.116094 &       NaN \\
+6   &    1849 &         717 &              1 &  110319 &  0.003750 &       NaN \\
+7   &    1849 &         718 &              1 &  110319 &  0.029549 &       NaN \\
+78  &    1849 &         720 &              1 &  150319 &  0.130193 &       NaN \\
+79  &    1849 &         721 &              1 &  150319 &  0.047548 &       NaN \\
+80  &    1849 &         722 &              1 &  150319 &  0.146543 &       NaN \\
+324 &    1849 &         724 &              1 &  150319 &       NaN &  0.025190 \\
+325 &    1849 &         725 &              1 &  150319 &       NaN &  0.111154 \\
+326 &    1849 &         726 &              1 &  150319 &       NaN &       NaN \\
+43  &    1849 &         728 &              1 &  220319 &  0.116694 &       NaN \\
+44  &    1849 &         729 &              1 &  220319 &  0.076946 &       NaN \\
+92  &    1849 &         739 &              1 &  280219 &  0.026999 &  0.008690 \\
+93  &    1849 &         740 &              1 &  280219 &  0.171441 &       NaN \\
+254 &    1849 &         743 &              1 &  280219 &       NaN &  0.025025 \\
+255 &    1849 &         744 &              1 &  280219 &       NaN &  0.008855 \\
+45  &    1849 &         750 &              2 &  220319 &  0.191240 &  0.130624 \\
+145 &    1849 &         752 &              2 &   60319 &  0.188841 &  0.089704 \\
+316 &    1849 &         755 &              2 &   60319 &       NaN &  0.052964 \\
+9   &    1849 &         756 &              2 &  110319 &  0.074846 &       NaN \\
+10  &    1849 &         757 &              2 &  110319 &  0.022349 &       NaN \\
+82  &    1849 &         758 &              2 &  150319 &  0.105445 &       NaN \\
+83  &    1849 &         760 &              2 &  150319 &  0.035998 &  0.025190 \\
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+46  &    1849 &         763 &              2 &  220319 &  0.016949 &       NaN \\
+94  &    1849 &         769 &              2 &  280219 &  0.215089 &       NaN \\
+95  &    1849 &         770 &              2 &  280219 &  0.289186 &       NaN \\
+256 &    1849 &         773 &              2 &  280219 &       NaN &  0.178033 \\
+146 &    1849 &         783 &              3 &   60319 &  0.220039 &  0.135629 \\
+147 &    1849 &         784 &              3 &   60319 &  0.010949 &       NaN \\
+148 &    1849 &         785 &              3 &   60319 &  0.170991 &  0.104004 \\
+11  &    1849 &         787 &              3 &  110319 &  0.234138 &       NaN \\
+84  &    1849 &         790 &              3 &  150319 &  0.175191 &       NaN \\
+85  &    1849 &         791 &              3 &  150319 &  0.038398 &       NaN \\
+328 &    1849 &         793 &              3 &  150319 &       NaN &  0.073534 \\
+47  &    1849 &         798 &              3 &  220319 &  0.156742 &       NaN \\
+48  &    1849 &         799 &              3 &  220319 &  0.097495 &       NaN \\
+372 &    1849 &         803 &              3 &  220319 &       NaN &  0.049555 \\
+373 &    1849 &         804 &              3 &  220319 &       NaN &  0.130954 \\
+374 &    1849 &         805 &              3 &  220319 &       NaN &  0.002805 \\
+96  &    1849 &         810 &              3 &  280219 &  0.176841 &       NaN \\
+97  &    1849 &         811 &              3 &  280219 &  0.111744 &       NaN \\
+98  &    1849 &         812 &              3 &  280219 &  0.065997 &       NaN \\
+99  &    1849 &         813 &              3 &  280219 &  0.063897 &  0.048235 \\
+257 &    1849 &         816 &              3 &  280219 &       NaN &  0.038995 \\
+258 &    1849 &         817 &              3 &  280219 &       NaN &  0.093004 \\
+259 &    1849 &         818 &              3 &  280219 &       NaN &  0.106149 \\
+149 &    1849 &         822 &              4 &   60319 &  0.421929 &       NaN \\
+317 &    1849 &         824 &              4 &   60319 &       NaN &  0.074964 \\
+12  &    1849 &         825 &              4 &  110319 &  0.325034 &       NaN \\
+86  &    1849 &         832 &              4 &  150319 &  0.220339 &       NaN \\
+49  &    1849 &         840 &              4 &  220319 &  0.170991 &       NaN \\
+100 &    1849 &         843 &              4 &  280219 &  0.029549 &       NaN \\
+150 &    1849 &         854 &              5 &   60319 &  0.298335 &       NaN \\
+151 &    1849 &         855 &              5 &   60319 &  0.032848 &       NaN \\
+318 &    1849 &         856 &              5 &   60319 &       NaN &       NaN \\
+13  &    1849 &         860 &              5 &  110319 &  0.220939 &       NaN \\
+14  &    1849 &         861 &              5 &  110319 &  0.284086 &       NaN \\
+87  &    1849 &         867 &              5 &  150319 &  0.150742 &       NaN \\
+88  &    1849 &         868 &              5 &  150319 &  0.183891 &  0.090694 \\
+89  &    1849 &         869 &              5 &  150319 &  0.263087 &       NaN \\
+90  &    1849 &         870 &              5 &  150319 &  0.224239 &       NaN \\
+329 &    1849 &         873 &              5 &  150319 &       NaN &       NaN \\
+50  &    1849 &         877 &              5 &  220319 &  0.141893 &       NaN \\
+51  &    1849 &         878 &              5 &  220319 &  0.211939 &       NaN \\
+52  &    1849 &         879 &              5 &  220319 &  0.395380 &       NaN \\
+375 &    1849 &         883 &              5 &  220319 &       NaN &  0.065559 \\
+376 &    1849 &         884 &              5 &  220319 &       NaN &       NaN \\
+377 &    1849 &         885 &              5 &  220319 &       NaN &  0.090694 \\
+378 &    1849 &         886 &              5 &  220319 &       NaN &       NaN \\
+101 &    1849 &         888 &              5 &  280219 &  0.288436 &       NaN \\
+319 &    1849 &         901 &              6 &   60319 &       NaN &  0.043285 \\
+320 &    1849 &         902 &              6 &   60319 &       NaN &  0.002475 \\
+102 &    1849 &         909 &              6 &  280219 &  0.211939 &       NaN \\
+103 &    1849 &         910 &              6 &  280219 &  0.148193 &       NaN \\
+260 &    1849 &         916 &              6 &  280219 &       NaN &  0.063799 \\
+261 &    1849 &         917 &              6 &  280219 &       NaN &  0.123584 \\
+262 &    1849 &         918 &              7 &  280219 &       NaN &       NaN \\
+152 &    1849 &         924 &              7 &   60319 &  0.044848 &       NaN \\
+153 &    1849 &         925 &              7 &   60319 &  0.147293 &       NaN \\
+154 &    1849 &         926 &              7 &   60319 &  0.031048 &       NaN \\
+321 &    1849 &         929 &              7 &   60319 &       NaN &  0.080904 \\
+104 &    1849 &         934 &              7 &  280219 &  0.001800 &       NaN \\
+105 &    1849 &         935 &              7 &  280219 &  0.007200 &       NaN \\
+106 &    1849 &         936 &              7 &  280219 &  0.161992 &       NaN \\
+263 &    1849 &         940 &              7 &  280219 &       NaN &  0.023320 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.csv b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.csv
new file mode 100644
index 000000000..fdbd4a16e
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.csv
@@ -0,0 +1,370 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
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+206,1839,599,4,200619,0.0064496775,
+207,1839,600,4,200619,,
+65,1839,602,4,290519,0.0569971501,
+66,1839,603,4,290519,0.0142492875,
+1,1839,606,5,60619,,
+358,1839,608,5,60619,,
+200,1839,610,5,120619,,
+208,1839,614,5,200619,,
+67,1839,618,5,290519,0.0007499625,
+68,1839,619,5,290519,,
+69,1839,620,5,290519,,
+2,1839,623,6,60619,0.0043497825,
+359,1839,626,6,60619,,0.0009349907
+360,1839,627,6,60619,,0.0007149928999999999
+201,1839,630,6,120619,,
+202,1839,631,6,120619,,
+242,1839,636,6,120619,,
+243,1839,637,6,120619,,
+244,1839,638,6,120619,,
+245,1839,639,6,120619,,0.0
+246,1839,640,6,120619,,
+209,1839,643,6,200619,,
+210,1839,647,6,200619,,
+211,1839,648,6,200619,,
+212,1839,650,6,200619,,
+70,1839,653,6,290519,0.0175491225,
+71,1839,654,6,290519,,
+72,1839,657,7,290519,,
+213,1839,662,7,200619,,
+214,1839,663,7,200619,,
+215,1839,664,7,200619,,
+73,1839,669,7,290519,,
+74,1839,670,7,290519,,
+75,1839,672,7,290519,,
+3,1849,676,0,110319,0.033598320099999995,
+76,1849,677,0,150319,,0.006599934
+77,1849,679,0,150319,,
+322,1849,681,0,150319,,
+323,1849,682,0,150319,,0.0050599494
+370,1849,683,0,220319,,0.0144098559
+91,1849,686,0,280219,,
+251,1849,689,0,280219,,
+252,1849,690,0,280219,,0.0069299307
+371,1849,691,1,220319,,0.0126498735
+315,1849,708,1,60319,,0.06374436259999999
+4,1849,714,1,110319,,
+5,1849,716,1,110319,,
+6,1849,717,1,110319,,
+7,1849,718,1,110319,,
+78,1849,720,1,150319,,
+79,1849,721,1,150319,,
+80,1849,722,1,150319,,
+324,1849,724,1,150319,,
+325,1849,725,1,150319,,
+326,1849,726,1,150319,,
+43,1849,728,1,220319,,
+44,1849,729,1,220319,,
+92,1849,739,1,280219,,
+93,1849,740,1,280219,,
+254,1849,743,1,280219,,
+255,1849,744,1,280219,,
+8,1849,750,2,110319,,
+145,1849,752,2,60319,,
+316,1849,755,2,60319,,
+9,1849,756,2,110319,0.0142492875,
+10,1849,757,2,110319,,
+82,1849,758,2,150319,,
+83,1849,760,2,150319,,
+327,1849,761,2,150319,,
+46,1849,763,2,220319,,
+94,1849,769,2,280219,,
+95,1849,770,2,280219,0.030598470099999997,
+256,1849,773,2,280219,,
+146,1849,783,3,60319,,
+147,1849,784,3,60319,,
+148,1849,785,3,60319,,
+11,1849,787,3,110319,,
+84,1849,790,3,150319,,
+85,1849,791,3,150319,,
+328,1849,793,3,150319,,
+47,1849,798,3,220319,,
+48,1849,799,3,220319,,
+372,1849,803,3,220319,,
+373,1849,804,3,220319,,
+374,1849,805,3,220319,,0.0002199978
+96,1849,810,3,280219,,
+97,1849,811,3,280219,,
+98,1849,812,3,280219,,
+99,1849,813,3,280219,,
+257,1849,816,3,280219,,
+258,1849,817,3,280219,,
+259,1849,818,3,280219,,
+149,1849,822,4,60319,,
+317,1849,824,4,60319,,0.0083599164
+12,1849,825,4,110319,0.01979901,
+86,1849,832,4,150319,,
+49,1849,840,4,220319,,
+100,1849,843,4,280219,0.00059997,
+150,1849,854,5,60319,,
+151,1849,855,5,60319,,
+318,1849,856,5,60319,,
+13,1849,860,5,110319,,
+14,1849,861,5,110319,,
+87,1849,867,5,150319,,
+88,1849,868,5,150319,,0.011384886200000001
+89,1849,869,5,150319,,
+90,1849,870,5,150319,0.003299835,
+329,1849,873,5,150319,,
+50,1849,877,5,220319,,
+51,1849,878,5,220319,,
+52,1849,879,5,220319,,
+375,1849,883,5,220319,,0.010504895
+376,1849,884,5,220319,,
+377,1849,885,5,220319,,0.014189858100000001
+378,1849,886,5,220319,,
+101,1849,888,5,280219,0.029848507599999997,
+319,1849,901,6,60319,,0.0048399516
+320,1849,902,6,60319,,0.0007149928999999999
+102,1849,909,6,280219,,
+103,1849,910,6,280219,,
+260,1849,916,6,280219,,0.0071499285
+261,1849,917,6,280219,,0.0064899351
+262,1849,918,7,280219,,
+152,1849,924,7,60319,,
+153,1849,925,7,60319,,
+154,1849,926,7,60319,,
+321,1849,929,7,60319,,0.021284787200000002
+104,1849,934,7,280219,,
+105,1849,935,7,280219,,
+106,1849,936,7,280219,,
+263,1849,940,7,280219,,0.0041799582
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.tex b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.tex
new file mode 100644
index 000000000..f3d393e97
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_p_i_peak.tex
@@ -0,0 +1,375 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+264 &    1833 &           0 &              0 &   20719 &       NaN &  0.007315 \\
+216 &    1833 &           1 &              0 &   10719 &       NaN &       NaN \\
+217 &    1833 &           3 &              0 &   10719 &  0.000750 &       NaN \\
+218 &    1833 &           4 &              0 &   10719 &       NaN &       NaN \\
+219 &    1833 &           6 &              0 &   10719 &       NaN &       NaN \\
+220 &    1833 &           7 &              0 &   10719 &       NaN &       NaN \\
+171 &    1833 &          10 &              0 &   20719 &       NaN &       NaN \\
+172 &    1833 &          12 &              0 &   20719 &       NaN &       NaN \\
+265 &    1833 &          18 &              0 &   20719 &       NaN &  0.013145 \\
+361 &    1833 &          20 &              0 &   60619 &       NaN &       NaN \\
+128 &    1833 &          21 &              0 &  120619 &       NaN &       NaN \\
+182 &    1833 &          24 &              0 &  200619 &       NaN &       NaN \\
+297 &    1833 &          28 &              0 &  200619 &       NaN &  0.002750 \\
+298 &    1833 &          29 &              0 &  200619 &       NaN &       NaN \\
+190 &    1833 &          41 &              0 &  290519 &       NaN &       NaN \\
+173 &    1833 &          50 &              1 &   20719 &       NaN &       NaN \\
+174 &    1833 &          51 &              1 &   20719 &       NaN &       NaN \\
+223 &    1833 &          54 &              1 &   10719 &       NaN &       NaN \\
+266 &    1833 &          62 &              1 &   20719 &       NaN &  0.008140 \\
+362 &    1833 &          70 &              1 &   60619 &       NaN &  0.010780 \\
+183 &    1833 &          75 &              1 &  200619 &       NaN &       NaN \\
+300 &    1833 &          76 &              1 &  200619 &       NaN &       NaN \\
+37  &    1833 &          80 &              1 &  260619 &       NaN &       NaN \\
+338 &    1833 &          82 &              1 &  260619 &       NaN &  0.026634 \\
+339 &    1833 &          85 &              1 &  260619 &       NaN &  0.003428 \\
+191 &    1833 &          90 &              1 &  290519 &       NaN &       NaN \\
+192 &    1833 &          92 &              1 &  290519 &       NaN &       NaN \\
+348 &    1833 &          95 &              1 &  290519 &       NaN &  0.021835 \\
+224 &    1833 &          98 &              2 &   10719 &       NaN &       NaN \\
+175 &    1833 &         100 &              2 &   20719 &       NaN &       NaN \\
+176 &    1833 &         101 &              2 &   20719 &  0.000000 &       NaN \\
+177 &    1833 &         102 &              2 &   20719 &       NaN &       NaN \\
+267 &    1833 &         105 &              2 &   20719 &       NaN &  0.031295 \\
+129 &    1833 &         110 &              2 &  120619 &       NaN &       NaN \\
+38  &    1833 &         114 &              2 &  260619 &       NaN &       NaN \\
+193 &    1833 &         115 &              2 &  290519 &       NaN &       NaN \\
+194 &    1833 &         116 &              2 &  290519 &       NaN &       NaN \\
+225 &    1833 &         122 &              3 &   10719 &       NaN &       NaN \\
+226 &    1833 &         123 &              3 &   10719 &       NaN &       NaN \\
+227 &    1833 &         125 &              3 &   10719 &       NaN &       NaN \\
+228 &    1833 &         126 &              3 &   10719 &       NaN &       NaN \\
+229 &    1833 &         127 &              3 &   10719 &       NaN &       NaN \\
+178 &    1833 &         133 &              3 &   20719 &       NaN &       NaN \\
+268 &    1833 &         138 &              3 &   20719 &       NaN &  0.011110 \\
+269 &    1833 &         139 &              3 &   20719 &       NaN &  0.005225 \\
+270 &    1833 &         140 &              3 &   20719 &       NaN &  0.002035 \\
+184 &    1833 &         148 &              3 &  200619 &       NaN &       NaN \\
+340 &    1833 &         152 &              3 &  260619 &       NaN &       NaN \\
+341 &    1833 &         153 &              3 &  260619 &       NaN &  0.009079 \\
+195 &    1833 &         158 &              3 &  290519 &       NaN &       NaN \\
+196 &    1833 &         159 &              3 &  290519 &  0.011699 &       NaN \\
+230 &    1833 &         162 &              4 &   10719 &       NaN &       NaN \\
+123 &    1833 &         169 &              4 &   50619 &  0.004650 &       NaN \\
+185 &    1833 &         175 &              4 &  200619 &       NaN &       NaN \\
+301 &    1833 &         177 &              4 &  200619 &       NaN &       NaN \\
+231 &    1833 &         189 &              5 &   10719 &       NaN &       NaN \\
+179 &    1833 &         191 &              5 &   20719 &  0.035398 &       NaN \\
+180 &    1833 &         192 &              5 &   20719 &       NaN &       NaN \\
+271 &    1833 &         194 &              5 &   20719 &       NaN &  0.006380 \\
+363 &    1833 &         197 &              5 &   60619 &       NaN &  0.006820 \\
+364 &    1833 &         199 &              5 &   60619 &       NaN &       NaN \\
+349 &    1833 &         216 &              5 &  290519 &       NaN &  0.005280 \\
+232 &    1833 &         223 &              6 &   10719 &       NaN &       NaN \\
+181 &    1833 &         225 &              6 &   20719 &       NaN &       NaN \\
+272 &    1833 &         227 &              6 &   20719 &       NaN &  0.007865 \\
+273 &    1833 &         228 &              6 &   20719 &       NaN &  0.009735 \\
+124 &    1833 &         230 &              6 &   50619 &       NaN &       NaN \\
+350 &    1833 &         232 &              6 &  290519 &       NaN &  0.015455 \\
+125 &    1833 &         235 &              6 &   50619 &  0.013499 &       NaN \\
+126 &    1833 &         236 &              6 &   50619 &       NaN &       NaN \\
+367 &    1833 &         241 &              6 &   60619 &       NaN &       NaN \\
+368 &    1833 &         242 &              6 &   60619 &       NaN &  0.007370 \\
+346 &    1833 &         247 &              6 &  120619 &       NaN &       NaN \\
+186 &    1833 &         255 &              6 &  200619 &       NaN &       NaN \\
+187 &    1833 &         256 &              6 &  200619 &       NaN &       NaN \\
+302 &    1833 &         259 &              6 &  200619 &       NaN &  0.011330 \\
+303 &    1833 &         262 &              6 &  200619 &       NaN &  0.007810 \\
+39  &    1833 &         266 &              6 &  260619 &       NaN &       NaN \\
+40  &    1833 &         267 &              6 &  260619 &       NaN &       NaN \\
+41  &    1833 &         268 &              6 &  260619 &       NaN &       NaN \\
+42  &    1833 &         269 &              6 &  260619 &       NaN &       NaN \\
+342 &    1833 &         271 &              6 &  260619 &       NaN &       NaN \\
+343 &    1833 &         272 &              6 &  260619 &       NaN &  0.002826 \\
+344 &    1833 &         273 &              6 &  260619 &       NaN &  0.001343 \\
+197 &    1833 &         283 &              6 &  290519 &       NaN &       NaN \\
+351 &    1833 &         290 &              6 &  290519 &       NaN &       NaN \\
+352 &    1833 &         291 &              6 &  290519 &       NaN &  0.020075 \\
+353 &    1833 &         292 &              6 &  290519 &       NaN &  0.007535 \\
+233 &    1833 &         294 &              7 &   10719 &       NaN &       NaN \\
+234 &    1833 &         296 &              7 &   10719 &  0.002250 &       NaN \\
+235 &    1833 &         297 &              7 &   10719 &       NaN &       NaN \\
+127 &    1833 &         298 &              7 &   50619 &  0.012299 &       NaN \\
+369 &    1833 &         300 &              7 &   60619 &       NaN &       NaN \\
+347 &    1833 &         303 &              7 &  120619 &       NaN &       NaN \\
+188 &    1833 &         305 &              7 &  200619 &  0.000000 &       NaN \\
+189 &    1833 &         306 &              7 &  200619 &       NaN &       NaN \\
+345 &    1833 &         311 &              7 &  260619 &       NaN &       NaN \\
+354 &    1833 &         323 &              7 &  290519 &       NaN &  0.004235 \\
+355 &    1833 &         325 &              7 &  290519 &       NaN &  0.018975 \\
+356 &    1833 &         326 &              7 &  290519 &       NaN &  0.005115 \\
+107 &    1834 &         330 &              0 &   10319 &       NaN &       NaN \\
+155 &    1834 &         332 &              0 &  110319 &       NaN &       NaN \\
+156 &    1834 &         341 &              0 &  110319 &       NaN &       NaN \\
+26  &    1834 &         343 &              0 &  120319 &       NaN &  0.010450 \\
+15  &    1834 &         345 &              0 &  220319 &       NaN &  0.008855 \\
+108 &    1834 &         348 &              1 &   10319 &       NaN &       NaN \\
+130 &    1834 &         350 &              1 &   60319 &       NaN &       NaN \\
+27  &    1834 &         352 &              1 &  120319 &       NaN &       NaN \\
+131 &    1834 &         353 &              2 &   60319 &       NaN &       NaN \\
+28  &    1834 &         354 &              2 &  120319 &       NaN &       NaN \\
+29  &    1834 &         355 &              2 &  120319 &       NaN &       NaN \\
+247 &    1834 &         357 &              2 &  120319 &       NaN &  0.010285 \\
+304 &    1834 &         367 &              3 &   10319 &       NaN &  0.005390 \\
+305 &    1834 &         368 &              3 &   10319 &       NaN &  0.005720 \\
+132 &    1834 &         371 &              3 &   60319 &       NaN &  0.005775 \\
+133 &    1834 &         372 &              3 &   60319 &       NaN &       NaN \\
+330 &    1834 &         373 &              3 &   60319 &       NaN &  0.001925 \\
+157 &    1834 &         374 &              3 &  110319 &       NaN &       NaN \\
+30  &    1834 &         376 &              3 &  120319 &       NaN &       NaN \\
+31  &    1834 &         377 &              3 &  120319 &       NaN &       NaN \\
+248 &    1834 &         378 &              3 &  120319 &       NaN &  0.018315 \\
+54  &    1834 &         380 &              3 &  150319 &       NaN &       NaN \\
+274 &    1834 &         383 &              3 &  150319 &       NaN &  0.003740 \\
+16  &    1834 &         384 &              3 &  220319 &       NaN &  0.006325 \\
+109 &    1834 &         387 &              4 &   10319 &       NaN &       NaN \\
+110 &    1834 &         388 &              4 &   10319 &       NaN &       NaN \\
+111 &    1834 &         389 &              4 &   10319 &       NaN &       NaN \\
+112 &    1834 &         390 &              4 &   10319 &       NaN &       NaN \\
+17  &    1834 &         402 &              4 &  220319 &       NaN &       NaN \\
+287 &    1834 &         404 &              4 &  220319 &       NaN &       NaN \\
+288 &    1834 &         405 &              4 &  220319 &       NaN &       NaN \\
+289 &    1834 &         406 &              4 &  220319 &       NaN &       NaN \\
+290 &    1834 &         407 &              4 &  220319 &       NaN &       NaN \\
+113 &    1834 &         410 &              5 &   10319 &       NaN &       NaN \\
+114 &    1834 &         411 &              5 &   10319 &       NaN &       NaN \\
+306 &    1834 &         413 &              5 &   10319 &       NaN &       NaN \\
+307 &    1834 &         414 &              5 &   10319 &       NaN &       NaN \\
+134 &    1834 &         416 &              5 &   60319 &       NaN &       NaN \\
+135 &    1834 &         417 &              5 &   60319 &       NaN &       NaN \\
+331 &    1834 &         420 &              5 &   60319 &       NaN &       NaN \\
+332 &    1834 &         421 &              5 &   60319 &       NaN &       NaN \\
+158 &    1834 &         423 &              5 &  110319 &       NaN &       NaN \\
+159 &    1834 &         424 &              5 &  110319 &       NaN &       NaN \\
+160 &    1834 &         425 &              5 &  110319 &       NaN &       NaN \\
+32  &    1834 &         428 &              5 &  120319 &       NaN &       NaN \\
+249 &    1834 &         430 &              5 &  120319 &       NaN &       NaN \\
+250 &    1834 &         431 &              5 &  120319 &       NaN &       NaN \\
+55  &    1834 &         436 &              5 &  150319 &       NaN &       NaN \\
+275 &    1834 &         437 &              5 &  150319 &       NaN &       NaN \\
+276 &    1834 &         439 &              5 &  150319 &       NaN &       NaN \\
+277 &    1834 &         440 &              5 &  150319 &       NaN &       NaN \\
+278 &    1834 &         441 &              5 &  150319 &       NaN &       NaN \\
+279 &    1834 &         442 &              5 &  150319 &       NaN &       NaN \\
+280 &    1834 &         443 &              5 &  150319 &       NaN &       NaN \\
+115 &    1834 &         446 &              6 &   10319 &       NaN &       NaN \\
+116 &    1834 &         447 &              6 &   10319 &  0.018599 &       NaN \\
+117 &    1834 &         448 &              6 &   10319 &       NaN &       NaN \\
+308 &    1834 &         449 &              6 &   10319 &       NaN &       NaN \\
+309 &    1834 &         450 &              6 &   10319 &       NaN &       NaN \\
+310 &    1834 &         451 &              6 &   10319 &       NaN &       NaN \\
+136 &    1834 &         452 &              6 &   60319 &  0.047398 &       NaN \\
+137 &    1834 &         453 &              6 &   60319 &       NaN &       NaN \\
+138 &    1834 &         454 &              6 &   60319 &  0.014849 &       NaN \\
+139 &    1834 &         455 &              6 &   60319 &  0.011699 &       NaN \\
+333 &    1834 &         457 &              6 &   60319 &       NaN &  0.010340 \\
+334 &    1834 &         458 &              6 &   60319 &       NaN &  0.024915 \\
+161 &    1834 &         461 &              6 &  110319 &  0.026699 &       NaN \\
+162 &    1834 &         462 &              6 &  110319 &  0.027299 &       NaN \\
+163 &    1834 &         464 &              6 &  110319 &  0.000000 &       NaN \\
+164 &    1834 &         465 &              6 &  110319 &       NaN &       NaN \\
+33  &    1834 &         472 &              6 &  120319 &  0.024149 &       NaN \\
+56  &    1834 &         473 &              6 &  150319 &       NaN &       NaN \\
+57  &    1834 &         474 &              6 &  150319 &  0.022949 &       NaN \\
+281 &    1834 &         477 &              6 &  150319 &       NaN &       NaN \\
+18  &    1834 &         483 &              6 &  220319 &  0.019949 &       NaN \\
+19  &    1834 &         484 &              6 &  220319 &       NaN &       NaN \\
+20  &    1834 &         485 &              6 &  220319 &       NaN &       NaN \\
+21  &    1834 &         486 &              6 &  220319 &       NaN &       NaN \\
+291 &    1834 &         487 &              6 &  220319 &       NaN &       NaN \\
+292 &    1834 &         488 &              6 &  220319 &       NaN &       NaN \\
+293 &    1834 &         489 &              6 &  220319 &       NaN &       NaN \\
+118 &    1834 &         492 &              7 &   10319 &       NaN &       NaN \\
+119 &    1834 &         493 &              7 &   10319 &       NaN &       NaN \\
+120 &    1834 &         494 &              7 &   10319 &  0.010799 &       NaN \\
+121 &    1834 &         495 &              7 &   10319 &       NaN &       NaN \\
+122 &    1834 &         496 &              7 &   10319 &       NaN &       NaN \\
+311 &    1834 &         497 &              7 &   10319 &       NaN &       NaN \\
+312 &    1834 &         499 &              7 &   10319 &       NaN &       NaN \\
+313 &    1834 &         500 &              7 &   10319 &       NaN &       NaN \\
+314 &    1834 &         501 &              7 &   10319 &       NaN &       NaN \\
+140 &    1834 &         504 &              7 &   60319 &       NaN &       NaN \\
+141 &    1834 &         505 &              7 &   60319 &       NaN &       NaN \\
+142 &    1834 &         506 &              7 &   60319 &       NaN &       NaN \\
+143 &    1834 &         507 &              7 &   60319 &       NaN &       NaN \\
+144 &    1834 &         508 &              7 &   60319 &       NaN &       NaN \\
+335 &    1834 &         510 &              7 &   60319 &       NaN &       NaN \\
+336 &    1834 &         511 &              7 &   60319 &       NaN &       NaN \\
+165 &    1834 &         512 &              7 &  110319 &       NaN &       NaN \\
+166 &    1834 &         514 &              7 &  110319 &       NaN &       NaN \\
+167 &    1834 &         516 &              7 &  110319 &       NaN &       NaN \\
+168 &    1834 &         517 &              7 &  110319 &       NaN &       NaN \\
+169 &    1834 &         519 &              7 &  110319 &       NaN &       NaN \\
+170 &    1834 &         520 &              7 &  110319 &       NaN &       NaN \\
+34  &    1834 &         527 &              7 &  120319 &       NaN &       NaN \\
+35  &    1834 &         529 &              7 &  120319 &  0.000150 &       NaN \\
+36  &    1834 &         530 &              7 &  120319 &       NaN &       NaN \\
+58  &    1834 &         537 &              7 &  150319 &       NaN &       NaN \\
+59  &    1834 &         538 &              7 &  150319 &       NaN &       NaN \\
+60  &    1834 &         539 &              7 &  150319 &       NaN &       NaN \\
+61  &    1834 &         540 &              7 &  150319 &       NaN &       NaN \\
+62  &    1834 &         541 &              7 &  150319 &       NaN &       NaN \\
+63  &    1834 &         542 &              7 &  150319 &       NaN &       NaN \\
+282 &    1834 &         550 &              7 &  150319 &       NaN &       NaN \\
+283 &    1834 &         551 &              7 &  150319 &       NaN &       NaN \\
+284 &    1834 &         552 &              7 &  150319 &       NaN &       NaN \\
+285 &    1834 &         553 &              7 &  150319 &       NaN &       NaN \\
+286 &    1834 &         554 &              7 &  150319 &       NaN &       NaN \\
+22  &    1834 &         560 &              7 &  220319 &       NaN &       NaN \\
+23  &    1834 &         561 &              7 &  220319 &       NaN &       NaN \\
+24  &    1834 &         562 &              7 &  220319 &       NaN &       NaN \\
+25  &    1834 &         563 &              7 &  220319 &       NaN &       NaN \\
+294 &    1834 &         566 &              7 &  220319 &       NaN &       NaN \\
+295 &    1834 &         567 &              7 &  220319 &       NaN &       NaN \\
+296 &    1834 &         568 &              7 &  220319 &       NaN &       NaN \\
+198 &    1839 &         569 &              0 &  120619 &       NaN &       NaN \\
+64  &    1839 &         574 &              0 &  290519 &       NaN &       NaN \\
+236 &    1839 &         576 &              1 &  120619 &       NaN &  0.004950 \\
+203 &    1839 &         579 &              1 &  200619 &       NaN &       NaN \\
+237 &    1839 &         583 &              3 &  120619 &       NaN &  0.000330 \\
+204 &    1839 &         585 &              3 &  200619 &       NaN &       NaN \\
+0   &    1839 &         587 &              4 &   60619 &  0.012749 &       NaN \\
+357 &    1839 &         589 &              4 &   60619 &       NaN &       NaN \\
+199 &    1839 &         590 &              4 &  120619 &       NaN &       NaN \\
+238 &    1839 &         593 &              4 &  120619 &       NaN &       NaN \\
+239 &    1839 &         594 &              4 &  120619 &       NaN &       NaN \\
+240 &    1839 &         595 &              4 &  120619 &       NaN &       NaN \\
+241 &    1839 &         596 &              4 &  120619 &       NaN &       NaN \\
+205 &    1839 &         598 &              4 &  200619 &  0.003750 &       NaN \\
+206 &    1839 &         599 &              4 &  200619 &  0.006450 &       NaN \\
+207 &    1839 &         600 &              4 &  200619 &       NaN &       NaN \\
+65  &    1839 &         602 &              4 &  290519 &  0.056997 &       NaN \\
+66  &    1839 &         603 &              4 &  290519 &  0.014249 &       NaN \\
+1   &    1839 &         606 &              5 &   60619 &       NaN &       NaN \\
+358 &    1839 &         608 &              5 &   60619 &       NaN &       NaN \\
+200 &    1839 &         610 &              5 &  120619 &       NaN &       NaN \\
+208 &    1839 &         614 &              5 &  200619 &       NaN &       NaN \\
+67  &    1839 &         618 &              5 &  290519 &  0.000750 &       NaN \\
+68  &    1839 &         619 &              5 &  290519 &       NaN &       NaN \\
+69  &    1839 &         620 &              5 &  290519 &       NaN &       NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.004350 &       NaN \\
+359 &    1839 &         626 &              6 &   60619 &       NaN &  0.000935 \\
+360 &    1839 &         627 &              6 &   60619 &       NaN &  0.000715 \\
+201 &    1839 &         630 &              6 &  120619 &       NaN &       NaN \\
+202 &    1839 &         631 &              6 &  120619 &       NaN &       NaN \\
+242 &    1839 &         636 &              6 &  120619 &       NaN &       NaN \\
+243 &    1839 &         637 &              6 &  120619 &       NaN &       NaN \\
+244 &    1839 &         638 &              6 &  120619 &       NaN &       NaN \\
+245 &    1839 &         639 &              6 &  120619 &       NaN &  0.000000 \\
+246 &    1839 &         640 &              6 &  120619 &       NaN &       NaN \\
+209 &    1839 &         643 &              6 &  200619 &       NaN &       NaN \\
+210 &    1839 &         647 &              6 &  200619 &       NaN &       NaN \\
+211 &    1839 &         648 &              6 &  200619 &       NaN &       NaN \\
+212 &    1839 &         650 &              6 &  200619 &       NaN &       NaN \\
+70  &    1839 &         653 &              6 &  290519 &  0.017549 &       NaN \\
+71  &    1839 &         654 &              6 &  290519 &       NaN &       NaN \\
+72  &    1839 &         657 &              7 &  290519 &       NaN &       NaN \\
+213 &    1839 &         662 &              7 &  200619 &       NaN &       NaN \\
+214 &    1839 &         663 &              7 &  200619 &       NaN &       NaN \\
+215 &    1839 &         664 &              7 &  200619 &       NaN &       NaN \\
+73  &    1839 &         669 &              7 &  290519 &       NaN &       NaN \\
+74  &    1839 &         670 &              7 &  290519 &       NaN &       NaN \\
+75  &    1839 &         672 &              7 &  290519 &       NaN &       NaN \\
+3   &    1849 &         676 &              0 &  110319 &  0.033598 &       NaN \\
+76  &    1849 &         677 &              0 &  150319 &       NaN &  0.006600 \\
+77  &    1849 &         679 &              0 &  150319 &       NaN &       NaN \\
+322 &    1849 &         681 &              0 &  150319 &       NaN &       NaN \\
+323 &    1849 &         682 &              0 &  150319 &       NaN &  0.005060 \\
+370 &    1849 &         683 &              0 &  220319 &       NaN &  0.014410 \\
+91  &    1849 &         686 &              0 &  280219 &       NaN &       NaN \\
+251 &    1849 &         689 &              0 &  280219 &       NaN &       NaN \\
+252 &    1849 &         690 &              0 &  280219 &       NaN &  0.006930 \\
+371 &    1849 &         691 &              1 &  220319 &       NaN &  0.012650 \\
+315 &    1849 &         708 &              1 &   60319 &       NaN &  0.063744 \\
+4   &    1849 &         714 &              1 &  110319 &       NaN &       NaN \\
+5   &    1849 &         716 &              1 &  110319 &       NaN &       NaN \\
+6   &    1849 &         717 &              1 &  110319 &       NaN &       NaN \\
+7   &    1849 &         718 &              1 &  110319 &       NaN &       NaN \\
+78  &    1849 &         720 &              1 &  150319 &       NaN &       NaN \\
+79  &    1849 &         721 &              1 &  150319 &       NaN &       NaN \\
+80  &    1849 &         722 &              1 &  150319 &       NaN &       NaN \\
+324 &    1849 &         724 &              1 &  150319 &       NaN &       NaN \\
+325 &    1849 &         725 &              1 &  150319 &       NaN &       NaN \\
+326 &    1849 &         726 &              1 &  150319 &       NaN &       NaN \\
+43  &    1849 &         728 &              1 &  220319 &       NaN &       NaN \\
+44  &    1849 &         729 &              1 &  220319 &       NaN &       NaN \\
+92  &    1849 &         739 &              1 &  280219 &       NaN &       NaN \\
+93  &    1849 &         740 &              1 &  280219 &       NaN &       NaN \\
+254 &    1849 &         743 &              1 &  280219 &       NaN &       NaN \\
+255 &    1849 &         744 &              1 &  280219 &       NaN &       NaN \\
+8   &    1849 &         750 &              2 &  110319 &       NaN &       NaN \\
+145 &    1849 &         752 &              2 &   60319 &       NaN &       NaN \\
+316 &    1849 &         755 &              2 &   60319 &       NaN &       NaN \\
+9   &    1849 &         756 &              2 &  110319 &  0.014249 &       NaN \\
+10  &    1849 &         757 &              2 &  110319 &       NaN &       NaN \\
+82  &    1849 &         758 &              2 &  150319 &       NaN &       NaN \\
+83  &    1849 &         760 &              2 &  150319 &       NaN &       NaN \\
+327 &    1849 &         761 &              2 &  150319 &       NaN &       NaN \\
+46  &    1849 &         763 &              2 &  220319 &       NaN &       NaN \\
+94  &    1849 &         769 &              2 &  280219 &       NaN &       NaN \\
+95  &    1849 &         770 &              2 &  280219 &  0.030598 &       NaN \\
+256 &    1849 &         773 &              2 &  280219 &       NaN &       NaN \\
+146 &    1849 &         783 &              3 &   60319 &       NaN &       NaN \\
+147 &    1849 &         784 &              3 &   60319 &       NaN &       NaN \\
+148 &    1849 &         785 &              3 &   60319 &       NaN &       NaN \\
+11  &    1849 &         787 &              3 &  110319 &       NaN &       NaN \\
+84  &    1849 &         790 &              3 &  150319 &       NaN &       NaN \\
+85  &    1849 &         791 &              3 &  150319 &       NaN &       NaN \\
+328 &    1849 &         793 &              3 &  150319 &       NaN &       NaN \\
+47  &    1849 &         798 &              3 &  220319 &       NaN &       NaN \\
+48  &    1849 &         799 &              3 &  220319 &       NaN &       NaN \\
+372 &    1849 &         803 &              3 &  220319 &       NaN &       NaN \\
+373 &    1849 &         804 &              3 &  220319 &       NaN &       NaN \\
+374 &    1849 &         805 &              3 &  220319 &       NaN &  0.000220 \\
+96  &    1849 &         810 &              3 &  280219 &       NaN &       NaN \\
+97  &    1849 &         811 &              3 &  280219 &       NaN &       NaN \\
+98  &    1849 &         812 &              3 &  280219 &       NaN &       NaN \\
+99  &    1849 &         813 &              3 &  280219 &       NaN &       NaN \\
+257 &    1849 &         816 &              3 &  280219 &       NaN &       NaN \\
+258 &    1849 &         817 &              3 &  280219 &       NaN &       NaN \\
+259 &    1849 &         818 &              3 &  280219 &       NaN &       NaN \\
+149 &    1849 &         822 &              4 &   60319 &       NaN &       NaN \\
+317 &    1849 &         824 &              4 &   60319 &       NaN &  0.008360 \\
+12  &    1849 &         825 &              4 &  110319 &  0.019799 &       NaN \\
+86  &    1849 &         832 &              4 &  150319 &       NaN &       NaN \\
+49  &    1849 &         840 &              4 &  220319 &       NaN &       NaN \\
+100 &    1849 &         843 &              4 &  280219 &  0.000600 &       NaN \\
+150 &    1849 &         854 &              5 &   60319 &       NaN &       NaN \\
+151 &    1849 &         855 &              5 &   60319 &       NaN &       NaN \\
+318 &    1849 &         856 &              5 &   60319 &       NaN &       NaN \\
+13  &    1849 &         860 &              5 &  110319 &       NaN &       NaN \\
+14  &    1849 &         861 &              5 &  110319 &       NaN &       NaN \\
+87  &    1849 &         867 &              5 &  150319 &       NaN &       NaN \\
+88  &    1849 &         868 &              5 &  150319 &       NaN &  0.011385 \\
+89  &    1849 &         869 &              5 &  150319 &       NaN &       NaN \\
+90  &    1849 &         870 &              5 &  150319 &  0.003300 &       NaN \\
+329 &    1849 &         873 &              5 &  150319 &       NaN &       NaN \\
+50  &    1849 &         877 &              5 &  220319 &       NaN &       NaN \\
+51  &    1849 &         878 &              5 &  220319 &       NaN &       NaN \\
+52  &    1849 &         879 &              5 &  220319 &       NaN &       NaN \\
+375 &    1849 &         883 &              5 &  220319 &       NaN &  0.010505 \\
+376 &    1849 &         884 &              5 &  220319 &       NaN &       NaN \\
+377 &    1849 &         885 &              5 &  220319 &       NaN &  0.014190 \\
+378 &    1849 &         886 &              5 &  220319 &       NaN &       NaN \\
+101 &    1849 &         888 &              5 &  280219 &  0.029849 &       NaN \\
+319 &    1849 &         901 &              6 &   60319 &       NaN &  0.004840 \\
+320 &    1849 &         902 &              6 &   60319 &       NaN &  0.000715 \\
+102 &    1849 &         909 &              6 &  280219 &       NaN &       NaN \\
+103 &    1849 &         910 &              6 &  280219 &       NaN &       NaN \\
+260 &    1849 &         916 &              6 &  280219 &       NaN &  0.007150 \\
+261 &    1849 &         917 &              6 &  280219 &       NaN &  0.006490 \\
+262 &    1849 &         918 &              7 &  280219 &       NaN &       NaN \\
+152 &    1849 &         924 &              7 &   60319 &       NaN &       NaN \\
+153 &    1849 &         925 &              7 &   60319 &       NaN &       NaN \\
+154 &    1849 &         926 &              7 &   60319 &       NaN &       NaN \\
+321 &    1849 &         929 &              7 &   60319 &       NaN &  0.021285 \\
+104 &    1849 &         934 &              7 &  280219 &       NaN &       NaN \\
+105 &    1849 &         935 &              7 &  280219 &       NaN &       NaN \\
+106 &    1849 &         936 &              7 &  280219 &       NaN &       NaN \\
+263 &    1849 &         940 &              7 &  280219 &       NaN &  0.004180 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.csv b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.csv
new file mode 100644
index 000000000..2caf5c715
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.csv
@@ -0,0 +1,370 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
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+216,1833,1,0,10719,0.008,
+217,1833,3,0,10719,0.0265,
+218,1833,4,0,10719,0.006999999999999999,
+219,1833,6,0,10719,0.0072,
+220,1833,7,0,10719,0.0076,
+171,1833,10,0,20719,0.0077,0.0081
+172,1833,12,0,20719,0.0075,
+265,1833,18,0,20719,,0.009000000000000001
+361,1833,20,0,60619,,0.0074
+128,1833,21,0,120619,0.0052,
+182,1833,24,0,200619,0.0073,
+297,1833,28,0,200619,,0.0243
+298,1833,29,0,200619,,0.009000000000000001
+190,1833,41,0,290519,0.0065,
+173,1833,50,1,20719,0.0079,
+174,1833,51,1,20719,0.008,
+223,1833,54,1,10719,0.0087,
+266,1833,62,1,20719,,0.0098
+362,1833,70,1,60619,,0.01
+183,1833,75,1,200619,0.0091,
+300,1833,76,1,200619,,0.0096
+37,1833,80,1,260619,0.0067,
+338,1833,82,1,260619,,0.0094
+339,1833,85,1,260619,,0.0094
+191,1833,90,1,290519,0.0066,
+192,1833,92,1,290519,0.0081,
+348,1833,95,1,290519,,0.0266
+224,1833,98,2,10719,0.0078,
+175,1833,100,2,20719,0.0074,
+176,1833,101,2,20719,0.0121,
+177,1833,102,2,20719,,
+267,1833,105,2,20719,,0.0093
+129,1833,110,2,120619,0.0075,
+38,1833,114,2,260619,0.0078,
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+225,1833,122,3,10719,0.0076,
+226,1833,123,3,10719,0.0088,
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+228,1833,126,3,10719,0.0115,
+229,1833,127,3,10719,0.0076,
+178,1833,133,3,20719,0.0072,
+268,1833,138,3,20719,,0.0089
+269,1833,139,3,20719,,0.0085
+270,1833,140,3,20719,,0.0086
+184,1833,148,3,200619,0.0086,
+340,1833,152,3,260619,,0.0076
+341,1833,153,3,260619,,0.0093
+195,1833,158,3,290519,0.0078,
+196,1833,159,3,290519,0.0089,
+230,1833,162,4,10719,,
+123,1833,169,4,50619,0.006999999999999999,
+185,1833,175,4,200619,0.0069,
+301,1833,177,4,200619,,
+231,1833,189,5,10719,0.0091,
+179,1833,191,5,20719,0.0093,
+180,1833,192,5,20719,0.0072,
+271,1833,194,5,20719,,0.0103
+363,1833,197,5,60619,,0.0096
+364,1833,199,5,60619,,0.0092
+349,1833,216,5,290519,,0.0257
+232,1833,223,6,10719,0.0073,
+181,1833,225,6,20719,0.0095,
+272,1833,227,6,20719,,0.01
+273,1833,228,6,20719,,0.0093
+124,1833,230,6,50619,0.0075,
+350,1833,232,6,290519,,0.0264
+125,1833,235,6,50619,0.0078,
+126,1833,236,6,50619,0.0094,
+367,1833,241,6,60619,,0.009000000000000001
+368,1833,242,6,60619,,0.0091
+346,1833,247,6,120619,,0.0085
+186,1833,255,6,200619,0.0094,
+187,1833,256,6,200619,0.0067,
+302,1833,259,6,200619,,0.0093
+303,1833,262,6,200619,,0.0088
+39,1833,266,6,260619,0.0069,
+40,1833,267,6,260619,0.0065,
+41,1833,268,6,260619,0.0067,
+42,1833,269,6,260619,0.0067,
+342,1833,271,6,260619,,0.0087
+343,1833,272,6,260619,,0.0102
+344,1833,273,6,260619,,0.0092
+197,1833,283,6,290519,0.009000000000000001,
+351,1833,290,6,290519,,0.0262
+352,1833,291,6,290519,,0.0251
+353,1833,292,6,290519,,0.0267
+233,1833,294,7,10719,0.0088,
+234,1833,296,7,10719,0.0089,
+235,1833,297,7,10719,0.009000000000000001,
+127,1833,298,7,50619,0.0079,
+369,1833,300,7,60619,,0.009000000000000001
+347,1833,303,7,120619,,0.0088
+188,1833,305,7,200619,0.0091,
+189,1833,306,7,200619,,
+345,1833,311,7,260619,,0.0093
+354,1833,323,7,290519,,0.0264
+355,1833,325,7,290519,,0.0259
+356,1833,326,7,290519,,0.0264
+107,1834,330,0,10319,0.0095,
+155,1834,332,0,110319,0.0089,
+156,1834,341,0,110319,0.0094,
+26,1834,343,0,120319,0.0094,0.0125
+15,1834,345,0,220319,0.0092,0.013000000000000001
+108,1834,348,1,10319,0.0101,
+130,1834,350,1,60319,0.0079,
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+28,1834,354,2,120319,0.0092,
+29,1834,355,2,120319,0.0105,
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+132,1834,371,3,60319,0.0098,0.0119
+133,1834,372,3,60319,0.0095,
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+157,1834,374,3,110319,0.0092,
+30,1834,376,3,120319,0.0093,
+31,1834,377,3,120319,0.0093,
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+54,1834,380,3,150319,0.0094,
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+16,1834,384,3,220319,0.009000000000000001,0.0131
+109,1834,387,4,10319,0.0088,
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+17,1834,402,4,220319,0.0083,
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+113,1834,410,5,10319,0.0101,
+114,1834,411,5,10319,0.0073,
+306,1834,413,5,10319,,0.0103
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+134,1834,416,5,60319,0.0103,
+135,1834,417,5,60319,0.008,
+331,1834,420,5,60319,,0.0089
+332,1834,421,5,60319,,0.009000000000000001
+158,1834,423,5,110319,0.0079,
+159,1834,424,5,110319,0.0082,
+160,1834,425,5,110319,0.0069,
+32,1834,428,5,120319,0.0102,0.0137
+249,1834,430,5,120319,,0.0137
+250,1834,431,5,120319,,0.0104
+55,1834,436,5,150319,0.0081,
+275,1834,437,5,150319,,0.0133
+276,1834,439,5,150319,,0.0136
+277,1834,440,5,150319,,0.011000000000000001
+278,1834,441,5,150319,,0.0114
+279,1834,442,5,150319,,0.0121
+280,1834,443,5,150319,,0.0118
+115,1834,446,6,10319,0.0082,
+116,1834,447,6,10319,0.0087,
+117,1834,448,6,10319,0.0077,
+308,1834,449,6,10319,,0.0093
+309,1834,450,6,10319,,0.0087
+310,1834,451,6,10319,,0.0093
+136,1834,452,6,60319,0.0084,
+137,1834,453,6,60319,0.0085,
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+139,1834,455,6,60319,0.0084,0.0085
+333,1834,457,6,60319,,0.0092
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+56,1834,473,6,150319,0.0082,0.0083
+57,1834,474,6,150319,0.0088,
+281,1834,477,6,150319,,0.0087
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+19,1834,484,6,220319,0.0075,
+20,1834,485,6,220319,0.008,
+21,1834,486,6,220319,0.0076,
+291,1834,487,6,220319,,0.0089
+292,1834,488,6,220319,,0.0094
+293,1834,489,6,220319,,0.009000000000000001
+118,1834,492,7,10319,0.0085,
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+120,1834,494,7,10319,0.0073,
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+122,1834,496,7,10319,0.0092,
+311,1834,497,7,10319,,0.0095
+312,1834,499,7,10319,,0.0086
+313,1834,500,7,10319,,0.0079
+314,1834,501,7,10319,,0.0082
+140,1834,504,7,60319,0.0079,
+141,1834,505,7,60319,0.0081,
+142,1834,506,7,60319,0.0085,0.0085
+143,1834,507,7,60319,0.0091,0.0094
+144,1834,508,7,60319,0.009000000000000001,0.0093
+335,1834,510,7,60319,,0.0086
+336,1834,511,7,60319,,0.0094
+165,1834,512,7,110319,0.009000000000000001,
+166,1834,514,7,110319,0.0084,
+167,1834,516,7,110319,0.0062,
+168,1834,517,7,110319,0.006999999999999999,
+169,1834,519,7,110319,0.0091,
+170,1834,520,7,110319,0.0072,
+34,1834,527,7,120319,0.0072,0.0095
+35,1834,529,7,120319,0.013000000000000001,0.0119
+36,1834,530,7,120319,0.0091,
+58,1834,537,7,150319,0.0074,
+59,1834,538,7,150319,0.0074,
+60,1834,539,7,150319,0.0081,
+61,1834,540,7,150319,0.0088,
+62,1834,541,7,150319,0.0083,
+63,1834,542,7,150319,0.009000000000000001,
+282,1834,550,7,150319,,0.01
+283,1834,551,7,150319,,0.0093
+284,1834,552,7,150319,,0.0093
+285,1834,553,7,150319,,0.0099
+286,1834,554,7,150319,,0.01
+22,1834,560,7,220319,0.0103,
+23,1834,561,7,220319,0.0082,0.01
+24,1834,562,7,220319,0.0088,
+25,1834,563,7,220319,0.0076,
+294,1834,566,7,220319,,0.0115
+295,1834,567,7,220319,,0.0101
+296,1834,568,7,220319,,0.0141
+198,1839,569,0,120619,0.0077,
+64,1839,574,0,290519,0.0261,
+236,1839,576,1,120619,,0.0217
+203,1839,579,1,200619,0.0004,
+237,1839,583,3,120619,,0.0232
+204,1839,585,3,200619,0.0087,
+0,1839,587,4,60619,0.0091,
+357,1839,589,4,60619,,0.0095
+199,1839,590,4,120619,0.0086,
+238,1839,593,4,120619,,0.0079
+239,1839,594,4,120619,,0.0093
+240,1839,595,4,120619,,0.0083
+241,1839,596,4,120619,,0.0082
+205,1839,598,4,200619,0.0085,
+206,1839,599,4,200619,0.009000000000000001,
+207,1839,600,4,200619,0.0088,
+65,1839,602,4,290519,0.0089,
+66,1839,603,4,290519,0.0091,
+1,1839,606,5,60619,0.0071,0.008
+358,1839,608,5,60619,,0.0083
+200,1839,610,5,120619,0.0074,
+208,1839,614,5,200619,0.0065,
+67,1839,618,5,290519,0.0256,
+68,1839,619,5,290519,0.0064,
+69,1839,620,5,290519,0.0077,
+2,1839,623,6,60619,0.0088,
+359,1839,626,6,60619,,0.0094
+360,1839,627,6,60619,,0.0089
+201,1839,630,6,120619,0.0077,
+202,1839,631,6,120619,0.0082,
+242,1839,636,6,120619,,0.008
+243,1839,637,6,120619,,0.0076
+244,1839,638,6,120619,,0.0083
+245,1839,639,6,120619,,0.0075
+246,1839,640,6,120619,,0.0089
+209,1839,643,6,200619,0.0056,
+210,1839,647,6,200619,0.0074,
+211,1839,648,6,200619,0.0085,
+212,1839,650,6,200619,0.0084,
+70,1839,653,6,290519,0.0091,
+71,1839,654,6,290519,0.0078,
+72,1839,657,7,290519,0.0078,
+213,1839,662,7,200619,0.0067,
+214,1839,663,7,200619,0.0067,
+215,1839,664,7,200619,0.009000000000000001,
+73,1839,669,7,290519,0.0083,
+74,1839,670,7,290519,0.0069,
+75,1839,672,7,290519,0.0073,
+3,1849,676,0,110319,0.0098,
+76,1849,677,0,150319,0.0088,0.0101
+77,1849,679,0,150319,0.0093,
+322,1849,681,0,150319,,0.0102
+323,1849,682,0,150319,,0.0105
+370,1849,683,0,220319,,0.0103
+91,1849,686,0,280219,0.0095,
+251,1849,689,0,280219,,0.0102
+252,1849,690,0,280219,,0.0104
+371,1849,691,1,220319,,0.009000000000000001
+315,1849,708,1,60319,,0.0156
+4,1849,714,1,110319,0.008,
+5,1849,716,1,110319,0.0088,
+6,1849,717,1,110319,0.008,
+7,1849,718,1,110319,0.0084,
+78,1849,720,1,150319,0.0076,
+79,1849,721,1,150319,0.0073,
+80,1849,722,1,150319,0.0076,
+324,1849,724,1,150319,,0.009000000000000001
+325,1849,725,1,150319,,0.0092
+326,1849,726,1,150319,,
+43,1849,728,1,220319,0.0087,
+44,1849,729,1,220319,0.0083,
+92,1849,739,1,280219,0.0076,0.0081
+93,1849,740,1,280219,0.008,
+254,1849,743,1,280219,,0.0089
+255,1849,744,1,280219,,0.0084
+45,1849,750,2,220319,0.0086,0.0096
+145,1849,752,2,60319,0.0088,0.0096
+316,1849,755,2,60319,,0.0092
+9,1849,756,2,110319,0.0093,
+10,1849,757,2,110319,0.0084,
+82,1849,758,2,150319,0.0082,
+83,1849,760,2,150319,0.0074,0.0096
+327,1849,761,2,150319,,0.0099
+46,1849,763,2,220319,0.0094,
+94,1849,769,2,280219,0.0081,
+95,1849,770,2,280219,0.0087,
+256,1849,773,2,280219,,0.009000000000000001
+146,1849,783,3,60319,0.008,0.0093
+147,1849,784,3,60319,0.0079,
+148,1849,785,3,60319,0.009000000000000001,0.0095
+11,1849,787,3,110319,0.0088,
+84,1849,790,3,150319,0.0084,
+85,1849,791,3,150319,0.0086,
+328,1849,793,3,150319,,0.0097
+47,1849,798,3,220319,0.0085,
+48,1849,799,3,220319,0.008,
+372,1849,803,3,220319,,0.0097
+373,1849,804,3,220319,,0.0094
+374,1849,805,3,220319,,0.0097
+96,1849,810,3,280219,0.0081,
+97,1849,811,3,280219,0.0082,
+98,1849,812,3,280219,0.0073,
+99,1849,813,3,280219,0.0073,0.009000000000000001
+257,1849,816,3,280219,,0.0088
+258,1849,817,3,280219,,0.0088
+259,1849,818,3,280219,,0.009000000000000001
+149,1849,822,4,60319,0.0098,
+317,1849,824,4,60319,,0.0111
+12,1849,825,4,110319,0.0096,
+86,1849,832,4,150319,0.0096,
+49,1849,840,4,220319,0.009000000000000001,
+100,1849,843,4,280219,0.0097,
+150,1849,854,5,60319,0.0099,
+151,1849,855,5,60319,0.0087,
+318,1849,856,5,60319,,
+13,1849,860,5,110319,0.01,
+14,1849,861,5,110319,0.01,
+87,1849,867,5,150319,0.0095,
+88,1849,868,5,150319,0.0079,0.0138
+89,1849,869,5,150319,0.0098,
+90,1849,870,5,150319,0.0099,
+329,1849,873,5,150319,,
+50,1849,877,5,220319,0.0085,
+51,1849,878,5,220319,0.0095,
+52,1849,879,5,220319,0.0099,
+375,1849,883,5,220319,,0.0133
+376,1849,884,5,220319,,
+377,1849,885,5,220319,,0.011000000000000001
+378,1849,886,5,220319,,
+101,1849,888,5,280219,0.0097,
+319,1849,901,6,60319,,0.0271
+320,1849,902,6,60319,,0.0257
+102,1849,909,6,280219,0.0055,
+103,1849,910,6,280219,0.0054,
+260,1849,916,6,280219,,0.0271
+261,1849,917,6,280219,,0.0267
+262,1849,918,7,280219,,
+152,1849,924,7,60319,0.0093,
+153,1849,925,7,60319,0.0093,
+154,1849,926,7,60319,0.0056,
+321,1849,929,7,60319,,0.0275
+104,1849,934,7,280219,0.006,
+105,1849,935,7,280219,0.0093,
+106,1849,936,7,280219,0.0092,
+263,1849,940,7,280219,,0.0102
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.tex b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.tex
new file mode 100644
index 000000000..30c562f7a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_e_peak.tex
@@ -0,0 +1,375 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+264 &    1833 &           0 &              0 &   20719 &     NaN &  0.0089 \\
+216 &    1833 &           1 &              0 &   10719 &  0.0080 &     NaN \\
+217 &    1833 &           3 &              0 &   10719 &  0.0265 &     NaN \\
+218 &    1833 &           4 &              0 &   10719 &  0.0070 &     NaN \\
+219 &    1833 &           6 &              0 &   10719 &  0.0072 &     NaN \\
+220 &    1833 &           7 &              0 &   10719 &  0.0076 &     NaN \\
+171 &    1833 &          10 &              0 &   20719 &  0.0077 &  0.0081 \\
+172 &    1833 &          12 &              0 &   20719 &  0.0075 &     NaN \\
+265 &    1833 &          18 &              0 &   20719 &     NaN &  0.0090 \\
+361 &    1833 &          20 &              0 &   60619 &     NaN &  0.0074 \\
+128 &    1833 &          21 &              0 &  120619 &  0.0052 &     NaN \\
+182 &    1833 &          24 &              0 &  200619 &  0.0073 &     NaN \\
+297 &    1833 &          28 &              0 &  200619 &     NaN &  0.0243 \\
+298 &    1833 &          29 &              0 &  200619 &     NaN &  0.0090 \\
+190 &    1833 &          41 &              0 &  290519 &  0.0065 &     NaN \\
+173 &    1833 &          50 &              1 &   20719 &  0.0079 &     NaN \\
+174 &    1833 &          51 &              1 &   20719 &  0.0080 &     NaN \\
+223 &    1833 &          54 &              1 &   10719 &  0.0087 &     NaN \\
+266 &    1833 &          62 &              1 &   20719 &     NaN &  0.0098 \\
+362 &    1833 &          70 &              1 &   60619 &     NaN &  0.0100 \\
+183 &    1833 &          75 &              1 &  200619 &  0.0091 &     NaN \\
+300 &    1833 &          76 &              1 &  200619 &     NaN &  0.0096 \\
+37  &    1833 &          80 &              1 &  260619 &  0.0067 &     NaN \\
+338 &    1833 &          82 &              1 &  260619 &     NaN &  0.0094 \\
+339 &    1833 &          85 &              1 &  260619 &     NaN &  0.0094 \\
+191 &    1833 &          90 &              1 &  290519 &  0.0066 &     NaN \\
+192 &    1833 &          92 &              1 &  290519 &  0.0081 &     NaN \\
+348 &    1833 &          95 &              1 &  290519 &     NaN &  0.0266 \\
+224 &    1833 &          98 &              2 &   10719 &  0.0078 &     NaN \\
+175 &    1833 &         100 &              2 &   20719 &  0.0074 &     NaN \\
+176 &    1833 &         101 &              2 &   20719 &  0.0121 &     NaN \\
+177 &    1833 &         102 &              2 &   20719 &     NaN &     NaN \\
+267 &    1833 &         105 &              2 &   20719 &     NaN &  0.0093 \\
+129 &    1833 &         110 &              2 &  120619 &  0.0075 &     NaN \\
+38  &    1833 &         114 &              2 &  260619 &  0.0078 &     NaN \\
+193 &    1833 &         115 &              2 &  290519 &  0.0077 &     NaN \\
+194 &    1833 &         116 &              2 &  290519 &  0.0069 &     NaN \\
+225 &    1833 &         122 &              3 &   10719 &  0.0076 &     NaN \\
+226 &    1833 &         123 &              3 &   10719 &  0.0088 &     NaN \\
+227 &    1833 &         125 &              3 &   10719 &  0.0074 &     NaN \\
+228 &    1833 &         126 &              3 &   10719 &  0.0115 &     NaN \\
+229 &    1833 &         127 &              3 &   10719 &  0.0076 &     NaN \\
+178 &    1833 &         133 &              3 &   20719 &  0.0072 &     NaN \\
+268 &    1833 &         138 &              3 &   20719 &     NaN &  0.0089 \\
+269 &    1833 &         139 &              3 &   20719 &     NaN &  0.0085 \\
+270 &    1833 &         140 &              3 &   20719 &     NaN &  0.0086 \\
+184 &    1833 &         148 &              3 &  200619 &  0.0086 &     NaN \\
+340 &    1833 &         152 &              3 &  260619 &     NaN &  0.0076 \\
+341 &    1833 &         153 &              3 &  260619 &     NaN &  0.0093 \\
+195 &    1833 &         158 &              3 &  290519 &  0.0078 &     NaN \\
+196 &    1833 &         159 &              3 &  290519 &  0.0089 &     NaN \\
+230 &    1833 &         162 &              4 &   10719 &     NaN &     NaN \\
+123 &    1833 &         169 &              4 &   50619 &  0.0070 &     NaN \\
+185 &    1833 &         175 &              4 &  200619 &  0.0069 &     NaN \\
+301 &    1833 &         177 &              4 &  200619 &     NaN &     NaN \\
+231 &    1833 &         189 &              5 &   10719 &  0.0091 &     NaN \\
+179 &    1833 &         191 &              5 &   20719 &  0.0093 &     NaN \\
+180 &    1833 &         192 &              5 &   20719 &  0.0072 &     NaN \\
+271 &    1833 &         194 &              5 &   20719 &     NaN &  0.0103 \\
+363 &    1833 &         197 &              5 &   60619 &     NaN &  0.0096 \\
+364 &    1833 &         199 &              5 &   60619 &     NaN &  0.0092 \\
+349 &    1833 &         216 &              5 &  290519 &     NaN &  0.0257 \\
+232 &    1833 &         223 &              6 &   10719 &  0.0073 &     NaN \\
+181 &    1833 &         225 &              6 &   20719 &  0.0095 &     NaN \\
+272 &    1833 &         227 &              6 &   20719 &     NaN &  0.0100 \\
+273 &    1833 &         228 &              6 &   20719 &     NaN &  0.0093 \\
+124 &    1833 &         230 &              6 &   50619 &  0.0075 &     NaN \\
+350 &    1833 &         232 &              6 &  290519 &     NaN &  0.0264 \\
+125 &    1833 &         235 &              6 &   50619 &  0.0078 &     NaN \\
+126 &    1833 &         236 &              6 &   50619 &  0.0094 &     NaN \\
+367 &    1833 &         241 &              6 &   60619 &     NaN &  0.0090 \\
+368 &    1833 &         242 &              6 &   60619 &     NaN &  0.0091 \\
+346 &    1833 &         247 &              6 &  120619 &     NaN &  0.0085 \\
+186 &    1833 &         255 &              6 &  200619 &  0.0094 &     NaN \\
+187 &    1833 &         256 &              6 &  200619 &  0.0067 &     NaN \\
+302 &    1833 &         259 &              6 &  200619 &     NaN &  0.0093 \\
+303 &    1833 &         262 &              6 &  200619 &     NaN &  0.0088 \\
+39  &    1833 &         266 &              6 &  260619 &  0.0069 &     NaN \\
+40  &    1833 &         267 &              6 &  260619 &  0.0065 &     NaN \\
+41  &    1833 &         268 &              6 &  260619 &  0.0067 &     NaN \\
+42  &    1833 &         269 &              6 &  260619 &  0.0067 &     NaN \\
+342 &    1833 &         271 &              6 &  260619 &     NaN &  0.0087 \\
+343 &    1833 &         272 &              6 &  260619 &     NaN &  0.0102 \\
+344 &    1833 &         273 &              6 &  260619 &     NaN &  0.0092 \\
+197 &    1833 &         283 &              6 &  290519 &  0.0090 &     NaN \\
+351 &    1833 &         290 &              6 &  290519 &     NaN &  0.0262 \\
+352 &    1833 &         291 &              6 &  290519 &     NaN &  0.0251 \\
+353 &    1833 &         292 &              6 &  290519 &     NaN &  0.0267 \\
+233 &    1833 &         294 &              7 &   10719 &  0.0088 &     NaN \\
+234 &    1833 &         296 &              7 &   10719 &  0.0089 &     NaN \\
+235 &    1833 &         297 &              7 &   10719 &  0.0090 &     NaN \\
+127 &    1833 &         298 &              7 &   50619 &  0.0079 &     NaN \\
+369 &    1833 &         300 &              7 &   60619 &     NaN &  0.0090 \\
+347 &    1833 &         303 &              7 &  120619 &     NaN &  0.0088 \\
+188 &    1833 &         305 &              7 &  200619 &  0.0091 &     NaN \\
+189 &    1833 &         306 &              7 &  200619 &     NaN &     NaN \\
+345 &    1833 &         311 &              7 &  260619 &     NaN &  0.0093 \\
+354 &    1833 &         323 &              7 &  290519 &     NaN &  0.0264 \\
+355 &    1833 &         325 &              7 &  290519 &     NaN &  0.0259 \\
+356 &    1833 &         326 &              7 &  290519 &     NaN &  0.0264 \\
+107 &    1834 &         330 &              0 &   10319 &  0.0095 &     NaN \\
+155 &    1834 &         332 &              0 &  110319 &  0.0089 &     NaN \\
+156 &    1834 &         341 &              0 &  110319 &  0.0094 &     NaN \\
+26  &    1834 &         343 &              0 &  120319 &  0.0094 &  0.0125 \\
+15  &    1834 &         345 &              0 &  220319 &  0.0092 &  0.0130 \\
+108 &    1834 &         348 &              1 &   10319 &  0.0101 &     NaN \\
+130 &    1834 &         350 &              1 &   60319 &  0.0079 &     NaN \\
+27  &    1834 &         352 &              1 &  120319 &  0.0104 &     NaN \\
+131 &    1834 &         353 &              2 &   60319 &  0.0091 &     NaN \\
+28  &    1834 &         354 &              2 &  120319 &  0.0092 &     NaN \\
+29  &    1834 &         355 &              2 &  120319 &  0.0105 &     NaN \\
+247 &    1834 &         357 &              2 &  120319 &     NaN &  0.0132 \\
+304 &    1834 &         367 &              3 &   10319 &     NaN &  0.0134 \\
+305 &    1834 &         368 &              3 &   10319 &     NaN &  0.0129 \\
+132 &    1834 &         371 &              3 &   60319 &  0.0098 &  0.0119 \\
+133 &    1834 &         372 &              3 &   60319 &  0.0095 &     NaN \\
+330 &    1834 &         373 &              3 &   60319 &     NaN &  0.0221 \\
+157 &    1834 &         374 &              3 &  110319 &  0.0092 &     NaN \\
+30  &    1834 &         376 &              3 &  120319 &  0.0093 &     NaN \\
+31  &    1834 &         377 &              3 &  120319 &  0.0093 &     NaN \\
+248 &    1834 &         378 &              3 &  120319 &     NaN &  0.0133 \\
+54  &    1834 &         380 &              3 &  150319 &  0.0094 &     NaN \\
+274 &    1834 &         383 &              3 &  150319 &     NaN &  0.0133 \\
+16  &    1834 &         384 &              3 &  220319 &  0.0090 &  0.0131 \\
+109 &    1834 &         387 &              4 &   10319 &  0.0088 &     NaN \\
+110 &    1834 &         388 &              4 &   10319 &  0.0080 &     NaN \\
+111 &    1834 &         389 &              4 &   10319 &  0.0088 &     NaN \\
+112 &    1834 &         390 &              4 &   10319 &  0.0085 &     NaN \\
+17  &    1834 &         402 &              4 &  220319 &  0.0083 &     NaN \\
+287 &    1834 &         404 &              4 &  220319 &     NaN &  0.0103 \\
+288 &    1834 &         405 &              4 &  220319 &     NaN &  0.0148 \\
+289 &    1834 &         406 &              4 &  220319 &     NaN &  0.0133 \\
+290 &    1834 &         407 &              4 &  220319 &     NaN &  0.0107 \\
+113 &    1834 &         410 &              5 &   10319 &  0.0101 &     NaN \\
+114 &    1834 &         411 &              5 &   10319 &  0.0073 &     NaN \\
+306 &    1834 &         413 &              5 &   10319 &     NaN &  0.0103 \\
+307 &    1834 &         414 &              5 &   10319 &     NaN &  0.0094 \\
+134 &    1834 &         416 &              5 &   60319 &  0.0103 &     NaN \\
+135 &    1834 &         417 &              5 &   60319 &  0.0080 &     NaN \\
+331 &    1834 &         420 &              5 &   60319 &     NaN &  0.0089 \\
+332 &    1834 &         421 &              5 &   60319 &     NaN &  0.0090 \\
+158 &    1834 &         423 &              5 &  110319 &  0.0079 &     NaN \\
+159 &    1834 &         424 &              5 &  110319 &  0.0082 &     NaN \\
+160 &    1834 &         425 &              5 &  110319 &  0.0069 &     NaN \\
+32  &    1834 &         428 &              5 &  120319 &  0.0102 &  0.0137 \\
+249 &    1834 &         430 &              5 &  120319 &     NaN &  0.0137 \\
+250 &    1834 &         431 &              5 &  120319 &     NaN &  0.0104 \\
+55  &    1834 &         436 &              5 &  150319 &  0.0081 &     NaN \\
+275 &    1834 &         437 &              5 &  150319 &     NaN &  0.0133 \\
+276 &    1834 &         439 &              5 &  150319 &     NaN &  0.0136 \\
+277 &    1834 &         440 &              5 &  150319 &     NaN &  0.0110 \\
+278 &    1834 &         441 &              5 &  150319 &     NaN &  0.0114 \\
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+280 &    1834 &         443 &              5 &  150319 &     NaN &  0.0118 \\
+115 &    1834 &         446 &              6 &   10319 &  0.0082 &     NaN \\
+116 &    1834 &         447 &              6 &   10319 &  0.0087 &     NaN \\
+117 &    1834 &         448 &              6 &   10319 &  0.0077 &     NaN \\
+308 &    1834 &         449 &              6 &   10319 &     NaN &  0.0093 \\
+309 &    1834 &         450 &              6 &   10319 &     NaN &  0.0087 \\
+310 &    1834 &         451 &              6 &   10319 &     NaN &  0.0093 \\
+136 &    1834 &         452 &              6 &   60319 &  0.0084 &     NaN \\
+137 &    1834 &         453 &              6 &   60319 &  0.0085 &     NaN \\
+138 &    1834 &         454 &              6 &   60319 &  0.0084 &     NaN \\
+139 &    1834 &         455 &              6 &   60319 &  0.0084 &  0.0085 \\
+333 &    1834 &         457 &              6 &   60319 &     NaN &  0.0092 \\
+334 &    1834 &         458 &              6 &   60319 &     NaN &  0.0092 \\
+161 &    1834 &         461 &              6 &  110319 &  0.0080 &     NaN \\
+162 &    1834 &         462 &              6 &  110319 &  0.0083 &     NaN \\
+163 &    1834 &         464 &              6 &  110319 &  0.0086 &     NaN \\
+164 &    1834 &         465 &              6 &  110319 &  0.0087 &     NaN \\
+33  &    1834 &         472 &              6 &  120319 &  0.0085 &  0.0085 \\
+56  &    1834 &         473 &              6 &  150319 &  0.0082 &  0.0083 \\
+57  &    1834 &         474 &              6 &  150319 &  0.0088 &     NaN \\
+281 &    1834 &         477 &              6 &  150319 &     NaN &  0.0087 \\
+18  &    1834 &         483 &              6 &  220319 &  0.0090 &     NaN \\
+19  &    1834 &         484 &              6 &  220319 &  0.0075 &     NaN \\
+20  &    1834 &         485 &              6 &  220319 &  0.0080 &     NaN \\
+21  &    1834 &         486 &              6 &  220319 &  0.0076 &     NaN \\
+291 &    1834 &         487 &              6 &  220319 &     NaN &  0.0089 \\
+292 &    1834 &         488 &              6 &  220319 &     NaN &  0.0094 \\
+293 &    1834 &         489 &              6 &  220319 &     NaN &  0.0090 \\
+118 &    1834 &         492 &              7 &   10319 &  0.0085 &     NaN \\
+119 &    1834 &         493 &              7 &   10319 &  0.0078 &     NaN \\
+120 &    1834 &         494 &              7 &   10319 &  0.0073 &     NaN \\
+121 &    1834 &         495 &              7 &   10319 &  0.0084 &     NaN \\
+122 &    1834 &         496 &              7 &   10319 &  0.0092 &     NaN \\
+311 &    1834 &         497 &              7 &   10319 &     NaN &  0.0095 \\
+312 &    1834 &         499 &              7 &   10319 &     NaN &  0.0086 \\
+313 &    1834 &         500 &              7 &   10319 &     NaN &  0.0079 \\
+314 &    1834 &         501 &              7 &   10319 &     NaN &  0.0082 \\
+140 &    1834 &         504 &              7 &   60319 &  0.0079 &     NaN \\
+141 &    1834 &         505 &              7 &   60319 &  0.0081 &     NaN \\
+142 &    1834 &         506 &              7 &   60319 &  0.0085 &  0.0085 \\
+143 &    1834 &         507 &              7 &   60319 &  0.0091 &  0.0094 \\
+144 &    1834 &         508 &              7 &   60319 &  0.0090 &  0.0093 \\
+335 &    1834 &         510 &              7 &   60319 &     NaN &  0.0086 \\
+336 &    1834 &         511 &              7 &   60319 &     NaN &  0.0094 \\
+165 &    1834 &         512 &              7 &  110319 &  0.0090 &     NaN \\
+166 &    1834 &         514 &              7 &  110319 &  0.0084 &     NaN \\
+167 &    1834 &         516 &              7 &  110319 &  0.0062 &     NaN \\
+168 &    1834 &         517 &              7 &  110319 &  0.0070 &     NaN \\
+169 &    1834 &         519 &              7 &  110319 &  0.0091 &     NaN \\
+170 &    1834 &         520 &              7 &  110319 &  0.0072 &     NaN \\
+34  &    1834 &         527 &              7 &  120319 &  0.0072 &  0.0095 \\
+35  &    1834 &         529 &              7 &  120319 &  0.0130 &  0.0119 \\
+36  &    1834 &         530 &              7 &  120319 &  0.0091 &     NaN \\
+58  &    1834 &         537 &              7 &  150319 &  0.0074 &     NaN \\
+59  &    1834 &         538 &              7 &  150319 &  0.0074 &     NaN \\
+60  &    1834 &         539 &              7 &  150319 &  0.0081 &     NaN \\
+61  &    1834 &         540 &              7 &  150319 &  0.0088 &     NaN \\
+62  &    1834 &         541 &              7 &  150319 &  0.0083 &     NaN \\
+63  &    1834 &         542 &              7 &  150319 &  0.0090 &     NaN \\
+282 &    1834 &         550 &              7 &  150319 &     NaN &  0.0100 \\
+283 &    1834 &         551 &              7 &  150319 &     NaN &  0.0093 \\
+284 &    1834 &         552 &              7 &  150319 &     NaN &  0.0093 \\
+285 &    1834 &         553 &              7 &  150319 &     NaN &  0.0099 \\
+286 &    1834 &         554 &              7 &  150319 &     NaN &  0.0100 \\
+22  &    1834 &         560 &              7 &  220319 &  0.0103 &     NaN \\
+23  &    1834 &         561 &              7 &  220319 &  0.0082 &  0.0100 \\
+24  &    1834 &         562 &              7 &  220319 &  0.0088 &     NaN \\
+25  &    1834 &         563 &              7 &  220319 &  0.0076 &     NaN \\
+294 &    1834 &         566 &              7 &  220319 &     NaN &  0.0115 \\
+295 &    1834 &         567 &              7 &  220319 &     NaN &  0.0101 \\
+296 &    1834 &         568 &              7 &  220319 &     NaN &  0.0141 \\
+198 &    1839 &         569 &              0 &  120619 &  0.0077 &     NaN \\
+64  &    1839 &         574 &              0 &  290519 &  0.0261 &     NaN \\
+236 &    1839 &         576 &              1 &  120619 &     NaN &  0.0217 \\
+203 &    1839 &         579 &              1 &  200619 &  0.0004 &     NaN \\
+237 &    1839 &         583 &              3 &  120619 &     NaN &  0.0232 \\
+204 &    1839 &         585 &              3 &  200619 &  0.0087 &     NaN \\
+0   &    1839 &         587 &              4 &   60619 &  0.0091 &     NaN \\
+357 &    1839 &         589 &              4 &   60619 &     NaN &  0.0095 \\
+199 &    1839 &         590 &              4 &  120619 &  0.0086 &     NaN \\
+238 &    1839 &         593 &              4 &  120619 &     NaN &  0.0079 \\
+239 &    1839 &         594 &              4 &  120619 &     NaN &  0.0093 \\
+240 &    1839 &         595 &              4 &  120619 &     NaN &  0.0083 \\
+241 &    1839 &         596 &              4 &  120619 &     NaN &  0.0082 \\
+205 &    1839 &         598 &              4 &  200619 &  0.0085 &     NaN \\
+206 &    1839 &         599 &              4 &  200619 &  0.0090 &     NaN \\
+207 &    1839 &         600 &              4 &  200619 &  0.0088 &     NaN \\
+65  &    1839 &         602 &              4 &  290519 &  0.0089 &     NaN \\
+66  &    1839 &         603 &              4 &  290519 &  0.0091 &     NaN \\
+1   &    1839 &         606 &              5 &   60619 &  0.0071 &  0.0080 \\
+358 &    1839 &         608 &              5 &   60619 &     NaN &  0.0083 \\
+200 &    1839 &         610 &              5 &  120619 &  0.0074 &     NaN \\
+208 &    1839 &         614 &              5 &  200619 &  0.0065 &     NaN \\
+67  &    1839 &         618 &              5 &  290519 &  0.0256 &     NaN \\
+68  &    1839 &         619 &              5 &  290519 &  0.0064 &     NaN \\
+69  &    1839 &         620 &              5 &  290519 &  0.0077 &     NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.0088 &     NaN \\
+359 &    1839 &         626 &              6 &   60619 &     NaN &  0.0094 \\
+360 &    1839 &         627 &              6 &   60619 &     NaN &  0.0089 \\
+201 &    1839 &         630 &              6 &  120619 &  0.0077 &     NaN \\
+202 &    1839 &         631 &              6 &  120619 &  0.0082 &     NaN \\
+242 &    1839 &         636 &              6 &  120619 &     NaN &  0.0080 \\
+243 &    1839 &         637 &              6 &  120619 &     NaN &  0.0076 \\
+244 &    1839 &         638 &              6 &  120619 &     NaN &  0.0083 \\
+245 &    1839 &         639 &              6 &  120619 &     NaN &  0.0075 \\
+246 &    1839 &         640 &              6 &  120619 &     NaN &  0.0089 \\
+209 &    1839 &         643 &              6 &  200619 &  0.0056 &     NaN \\
+210 &    1839 &         647 &              6 &  200619 &  0.0074 &     NaN \\
+211 &    1839 &         648 &              6 &  200619 &  0.0085 &     NaN \\
+212 &    1839 &         650 &              6 &  200619 &  0.0084 &     NaN \\
+70  &    1839 &         653 &              6 &  290519 &  0.0091 &     NaN \\
+71  &    1839 &         654 &              6 &  290519 &  0.0078 &     NaN \\
+72  &    1839 &         657 &              7 &  290519 &  0.0078 &     NaN \\
+213 &    1839 &         662 &              7 &  200619 &  0.0067 &     NaN \\
+214 &    1839 &         663 &              7 &  200619 &  0.0067 &     NaN \\
+215 &    1839 &         664 &              7 &  200619 &  0.0090 &     NaN \\
+73  &    1839 &         669 &              7 &  290519 &  0.0083 &     NaN \\
+74  &    1839 &         670 &              7 &  290519 &  0.0069 &     NaN \\
+75  &    1839 &         672 &              7 &  290519 &  0.0073 &     NaN \\
+3   &    1849 &         676 &              0 &  110319 &  0.0098 &     NaN \\
+76  &    1849 &         677 &              0 &  150319 &  0.0088 &  0.0101 \\
+77  &    1849 &         679 &              0 &  150319 &  0.0093 &     NaN \\
+322 &    1849 &         681 &              0 &  150319 &     NaN &  0.0102 \\
+323 &    1849 &         682 &              0 &  150319 &     NaN &  0.0105 \\
+370 &    1849 &         683 &              0 &  220319 &     NaN &  0.0103 \\
+91  &    1849 &         686 &              0 &  280219 &  0.0095 &     NaN \\
+251 &    1849 &         689 &              0 &  280219 &     NaN &  0.0102 \\
+252 &    1849 &         690 &              0 &  280219 &     NaN &  0.0104 \\
+371 &    1849 &         691 &              1 &  220319 &     NaN &  0.0090 \\
+315 &    1849 &         708 &              1 &   60319 &     NaN &  0.0156 \\
+4   &    1849 &         714 &              1 &  110319 &  0.0080 &     NaN \\
+5   &    1849 &         716 &              1 &  110319 &  0.0088 &     NaN \\
+6   &    1849 &         717 &              1 &  110319 &  0.0080 &     NaN \\
+7   &    1849 &         718 &              1 &  110319 &  0.0084 &     NaN \\
+78  &    1849 &         720 &              1 &  150319 &  0.0076 &     NaN \\
+79  &    1849 &         721 &              1 &  150319 &  0.0073 &     NaN \\
+80  &    1849 &         722 &              1 &  150319 &  0.0076 &     NaN \\
+324 &    1849 &         724 &              1 &  150319 &     NaN &  0.0090 \\
+325 &    1849 &         725 &              1 &  150319 &     NaN &  0.0092 \\
+326 &    1849 &         726 &              1 &  150319 &     NaN &     NaN \\
+43  &    1849 &         728 &              1 &  220319 &  0.0087 &     NaN \\
+44  &    1849 &         729 &              1 &  220319 &  0.0083 &     NaN \\
+92  &    1849 &         739 &              1 &  280219 &  0.0076 &  0.0081 \\
+93  &    1849 &         740 &              1 &  280219 &  0.0080 &     NaN \\
+254 &    1849 &         743 &              1 &  280219 &     NaN &  0.0089 \\
+255 &    1849 &         744 &              1 &  280219 &     NaN &  0.0084 \\
+45  &    1849 &         750 &              2 &  220319 &  0.0086 &  0.0096 \\
+145 &    1849 &         752 &              2 &   60319 &  0.0088 &  0.0096 \\
+316 &    1849 &         755 &              2 &   60319 &     NaN &  0.0092 \\
+9   &    1849 &         756 &              2 &  110319 &  0.0093 &     NaN \\
+10  &    1849 &         757 &              2 &  110319 &  0.0084 &     NaN \\
+82  &    1849 &         758 &              2 &  150319 &  0.0082 &     NaN \\
+83  &    1849 &         760 &              2 &  150319 &  0.0074 &  0.0096 \\
+327 &    1849 &         761 &              2 &  150319 &     NaN &  0.0099 \\
+46  &    1849 &         763 &              2 &  220319 &  0.0094 &     NaN \\
+94  &    1849 &         769 &              2 &  280219 &  0.0081 &     NaN \\
+95  &    1849 &         770 &              2 &  280219 &  0.0087 &     NaN \\
+256 &    1849 &         773 &              2 &  280219 &     NaN &  0.0090 \\
+146 &    1849 &         783 &              3 &   60319 &  0.0080 &  0.0093 \\
+147 &    1849 &         784 &              3 &   60319 &  0.0079 &     NaN \\
+148 &    1849 &         785 &              3 &   60319 &  0.0090 &  0.0095 \\
+11  &    1849 &         787 &              3 &  110319 &  0.0088 &     NaN \\
+84  &    1849 &         790 &              3 &  150319 &  0.0084 &     NaN \\
+85  &    1849 &         791 &              3 &  150319 &  0.0086 &     NaN \\
+328 &    1849 &         793 &              3 &  150319 &     NaN &  0.0097 \\
+47  &    1849 &         798 &              3 &  220319 &  0.0085 &     NaN \\
+48  &    1849 &         799 &              3 &  220319 &  0.0080 &     NaN \\
+372 &    1849 &         803 &              3 &  220319 &     NaN &  0.0097 \\
+373 &    1849 &         804 &              3 &  220319 &     NaN &  0.0094 \\
+374 &    1849 &         805 &              3 &  220319 &     NaN &  0.0097 \\
+96  &    1849 &         810 &              3 &  280219 &  0.0081 &     NaN \\
+97  &    1849 &         811 &              3 &  280219 &  0.0082 &     NaN \\
+98  &    1849 &         812 &              3 &  280219 &  0.0073 &     NaN \\
+99  &    1849 &         813 &              3 &  280219 &  0.0073 &  0.0090 \\
+257 &    1849 &         816 &              3 &  280219 &     NaN &  0.0088 \\
+258 &    1849 &         817 &              3 &  280219 &     NaN &  0.0088 \\
+259 &    1849 &         818 &              3 &  280219 &     NaN &  0.0090 \\
+149 &    1849 &         822 &              4 &   60319 &  0.0098 &     NaN \\
+317 &    1849 &         824 &              4 &   60319 &     NaN &  0.0111 \\
+12  &    1849 &         825 &              4 &  110319 &  0.0096 &     NaN \\
+86  &    1849 &         832 &              4 &  150319 &  0.0096 &     NaN \\
+49  &    1849 &         840 &              4 &  220319 &  0.0090 &     NaN \\
+100 &    1849 &         843 &              4 &  280219 &  0.0097 &     NaN \\
+150 &    1849 &         854 &              5 &   60319 &  0.0099 &     NaN \\
+151 &    1849 &         855 &              5 &   60319 &  0.0087 &     NaN \\
+318 &    1849 &         856 &              5 &   60319 &     NaN &     NaN \\
+13  &    1849 &         860 &              5 &  110319 &  0.0100 &     NaN \\
+14  &    1849 &         861 &              5 &  110319 &  0.0100 &     NaN \\
+87  &    1849 &         867 &              5 &  150319 &  0.0095 &     NaN \\
+88  &    1849 &         868 &              5 &  150319 &  0.0079 &  0.0138 \\
+89  &    1849 &         869 &              5 &  150319 &  0.0098 &     NaN \\
+90  &    1849 &         870 &              5 &  150319 &  0.0099 &     NaN \\
+329 &    1849 &         873 &              5 &  150319 &     NaN &     NaN \\
+50  &    1849 &         877 &              5 &  220319 &  0.0085 &     NaN \\
+51  &    1849 &         878 &              5 &  220319 &  0.0095 &     NaN \\
+52  &    1849 &         879 &              5 &  220319 &  0.0099 &     NaN \\
+375 &    1849 &         883 &              5 &  220319 &     NaN &  0.0133 \\
+376 &    1849 &         884 &              5 &  220319 &     NaN &     NaN \\
+377 &    1849 &         885 &              5 &  220319 &     NaN &  0.0110 \\
+378 &    1849 &         886 &              5 &  220319 &     NaN &     NaN \\
+101 &    1849 &         888 &              5 &  280219 &  0.0097 &     NaN \\
+319 &    1849 &         901 &              6 &   60319 &     NaN &  0.0271 \\
+320 &    1849 &         902 &              6 &   60319 &     NaN &  0.0257 \\
+102 &    1849 &         909 &              6 &  280219 &  0.0055 &     NaN \\
+103 &    1849 &         910 &              6 &  280219 &  0.0054 &     NaN \\
+260 &    1849 &         916 &              6 &  280219 &     NaN &  0.0271 \\
+261 &    1849 &         917 &              6 &  280219 &     NaN &  0.0267 \\
+262 &    1849 &         918 &              7 &  280219 &     NaN &     NaN \\
+152 &    1849 &         924 &              7 &   60319 &  0.0093 &     NaN \\
+153 &    1849 &         925 &              7 &   60319 &  0.0093 &     NaN \\
+154 &    1849 &         926 &              7 &   60319 &  0.0056 &     NaN \\
+321 &    1849 &         929 &              7 &   60319 &     NaN &  0.0275 \\
+104 &    1849 &         934 &              7 &  280219 &  0.0060 &     NaN \\
+105 &    1849 &         935 &              7 &  280219 &  0.0093 &     NaN \\
+106 &    1849 &         936 &              7 &  280219 &  0.0092 &     NaN \\
+263 &    1849 &         940 &              7 &  280219 &     NaN &  0.0102 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.csv b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.csv
new file mode 100644
index 000000000..009103869
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.csv
@@ -0,0 +1,370 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+264,1833,0,0,20719,,0.0024
+216,1833,1,0,10719,,
+217,1833,3,0,10719,0.012,
+218,1833,4,0,10719,,
+219,1833,6,0,10719,,
+220,1833,7,0,10719,,
+171,1833,10,0,20719,,
+172,1833,12,0,20719,,
+265,1833,18,0,20719,,0.0013
+361,1833,20,0,60619,,
+128,1833,21,0,120619,,
+182,1833,24,0,200619,,
+297,1833,28,0,200619,,0.0009
+298,1833,29,0,200619,,
+190,1833,41,0,290519,,
+173,1833,50,1,20719,,
+174,1833,51,1,20719,,
+223,1833,54,1,10719,,
+266,1833,62,1,20719,,0.0031
+362,1833,70,1,60619,,0.0037
+183,1833,75,1,200619,,
+300,1833,76,1,200619,,
+37,1833,80,1,260619,,
+338,1833,82,1,260619,,0.0007
+339,1833,85,1,260619,,0.0012
+191,1833,90,1,290519,,
+192,1833,92,1,290519,,
+348,1833,95,1,290519,,0.0168
+224,1833,98,2,10719,,
+175,1833,100,2,20719,,
+176,1833,101,2,20719,0.0032,
+177,1833,102,2,20719,,
+267,1833,105,2,20719,,0.0015
+129,1833,110,2,120619,,
+38,1833,114,2,260619,,
+193,1833,115,2,290519,,
+194,1833,116,2,290519,,
+225,1833,122,3,10719,,
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+227,1833,125,3,10719,,
+228,1833,126,3,10719,,
+229,1833,127,3,10719,,
+178,1833,133,3,20719,,
+268,1833,138,3,20719,,0.0002
+269,1833,139,3,20719,,0.0012
+270,1833,140,3,20719,,0.0006
+184,1833,148,3,200619,,
+340,1833,152,3,260619,,
+341,1833,153,3,260619,,0.0037
+195,1833,158,3,290519,,
+196,1833,159,3,290519,0.0035,
+230,1833,162,4,10719,,
+123,1833,169,4,50619,0.0034,
+185,1833,175,4,200619,,
+301,1833,177,4,200619,,
+231,1833,189,5,10719,,
+179,1833,191,5,20719,0.0036,
+180,1833,192,5,20719,,
+271,1833,194,5,20719,,0.0039
+363,1833,197,5,60619,,0.0041
+364,1833,199,5,60619,,
+349,1833,216,5,290519,,0.0011
+232,1833,223,6,10719,,
+181,1833,225,6,20719,,
+272,1833,227,6,20719,,0.0038
+273,1833,228,6,20719,,0.0017
+124,1833,230,6,50619,,
+350,1833,232,6,290519,,0.0133
+125,1833,235,6,50619,0.0029,
+126,1833,236,6,50619,,
+367,1833,241,6,60619,,
+368,1833,242,6,60619,,0.0019
+346,1833,247,6,120619,,
+186,1833,255,6,200619,,
+187,1833,256,6,200619,,
+302,1833,259,6,200619,,0.0016
+303,1833,262,6,200619,,0.0028
+39,1833,266,6,260619,,
+40,1833,267,6,260619,,
+41,1833,268,6,260619,,
+42,1833,269,6,260619,,
+342,1833,271,6,260619,,
+343,1833,272,6,260619,,0.0009
+344,1833,273,6,260619,,0.0001
+197,1833,283,6,290519,,
+351,1833,290,6,290519,,
+352,1833,291,6,290519,,0.0012
+353,1833,292,6,290519,,0.0211
+233,1833,294,7,10719,,
+234,1833,296,7,10719,0.0035,
+235,1833,297,7,10719,,
+127,1833,298,7,50619,0.0033,
+369,1833,300,7,60619,,
+347,1833,303,7,120619,,
+188,1833,305,7,200619,0.005,
+189,1833,306,7,200619,,
+345,1833,311,7,260619,,
+354,1833,323,7,290519,,0.0213
+355,1833,325,7,290519,,0.0009
+356,1833,326,7,290519,,0.0185
+107,1834,330,0,10319,,
+155,1834,332,0,110319,,
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+26,1834,343,0,120319,,0.0043
+15,1834,345,0,220319,,0.004
+108,1834,348,1,10319,,
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+133,1834,372,3,60319,,
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+157,1834,374,3,110319,,
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+54,1834,380,3,150319,,
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+16,1834,384,3,220319,,0.004
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+333,1834,457,6,60319,,0.0044
+334,1834,458,6,60319,,0.0046
+161,1834,461,6,110319,0.0025,
+162,1834,462,6,110319,0.0034,
+163,1834,464,6,110319,0.0031,
+164,1834,465,6,110319,,
+33,1834,472,6,120319,0.0034,
+56,1834,473,6,150319,,
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+281,1834,477,6,150319,,
+18,1834,483,6,220319,0.0037,
+19,1834,484,6,220319,,
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+293,1834,489,6,220319,,
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+119,1834,493,7,10319,,
+120,1834,494,7,10319,0.002,
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+169,1834,519,7,110319,,
+170,1834,520,7,110319,,
+34,1834,527,7,120319,,
+35,1834,529,7,120319,0.0021,
+36,1834,530,7,120319,,
+58,1834,537,7,150319,,
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+60,1834,539,7,150319,,
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+62,1834,541,7,150319,,
+63,1834,542,7,150319,,
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+295,1834,567,7,220319,,
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+198,1839,569,0,120619,,
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+203,1839,579,1,200619,,
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+204,1839,585,3,200619,,
+0,1839,587,4,60619,0.0034,
+357,1839,589,4,60619,,
+199,1839,590,4,120619,,
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+239,1839,594,4,120619,,
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+241,1839,596,4,120619,,
+205,1839,598,4,200619,0.0034,
+206,1839,599,4,200619,0.0038,
+207,1839,600,4,200619,,
+65,1839,602,4,290519,0.0031,
+66,1839,603,4,290519,0.0034,
+1,1839,606,5,60619,,
+358,1839,608,5,60619,,
+200,1839,610,5,120619,,
+208,1839,614,5,200619,,
+67,1839,618,5,290519,0.0077,
+68,1839,619,5,290519,,
+69,1839,620,5,290519,,
+2,1839,623,6,60619,0.0035,
+359,1839,626,6,60619,,0.0034
+360,1839,627,6,60619,,0.0004
+201,1839,630,6,120619,,
+202,1839,631,6,120619,,
+242,1839,636,6,120619,,
+243,1839,637,6,120619,,
+244,1839,638,6,120619,,
+245,1839,639,6,120619,,0.0017
+246,1839,640,6,120619,,
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+210,1839,647,6,200619,,
+211,1839,648,6,200619,,
+212,1839,650,6,200619,,
+70,1839,653,6,290519,0.0037,
+71,1839,654,6,290519,,
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+213,1839,662,7,200619,,
+214,1839,663,7,200619,,
+215,1839,664,7,200619,,
+73,1839,669,7,290519,,
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+75,1839,672,7,290519,,
+3,1849,676,0,110319,0.0034,
+76,1849,677,0,150319,,0.0039
+77,1849,679,0,150319,,
+322,1849,681,0,150319,,
+323,1849,682,0,150319,,0.004
+370,1849,683,0,220319,,0.004
+91,1849,686,0,280219,,
+251,1849,689,0,280219,,
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+371,1849,691,1,220319,,0.0018
+315,1849,708,1,60319,,0.0129
+4,1849,714,1,110319,,
+5,1849,716,1,110319,,
+6,1849,717,1,110319,,
+7,1849,718,1,110319,,
+78,1849,720,1,150319,,
+79,1849,721,1,150319,,
+80,1849,722,1,150319,,
+324,1849,724,1,150319,,
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+43,1849,728,1,220319,,
+44,1849,729,1,220319,,
+92,1849,739,1,280219,,
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+8,1849,750,2,110319,,
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+9,1849,756,2,110319,0.0028,
+10,1849,757,2,110319,,
+82,1849,758,2,150319,,
+83,1849,760,2,150319,,
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+256,1849,773,2,280219,,
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+11,1849,787,3,110319,,
+84,1849,790,3,150319,,
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+48,1849,799,3,220319,,
+372,1849,803,3,220319,,
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+96,1849,810,3,280219,,
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+86,1849,832,4,150319,,
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+89,1849,869,5,150319,,
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+329,1849,873,5,150319,,
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+319,1849,901,6,60319,,0.0039
+320,1849,902,6,60319,,0.0155
+102,1849,909,6,280219,,
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+261,1849,917,6,280219,,0.0131
+262,1849,918,7,280219,,
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+104,1849,934,7,280219,,
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+106,1849,936,7,280219,,
+263,1849,940,7,280219,,0.0035
diff --git a/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.tex b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.tex
new file mode 100644
index 000000000..0627f0fb3
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_not_gridcell_t_i_peak.tex
@@ -0,0 +1,375 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+264 &    1833 &           0 &              0 &   20719 &     NaN &  0.0024 \\
+216 &    1833 &           1 &              0 &   10719 &     NaN &     NaN \\
+217 &    1833 &           3 &              0 &   10719 &  0.0120 &     NaN \\
+218 &    1833 &           4 &              0 &   10719 &     NaN &     NaN \\
+219 &    1833 &           6 &              0 &   10719 &     NaN &     NaN \\
+220 &    1833 &           7 &              0 &   10719 &     NaN &     NaN \\
+171 &    1833 &          10 &              0 &   20719 &     NaN &     NaN \\
+172 &    1833 &          12 &              0 &   20719 &     NaN &     NaN \\
+265 &    1833 &          18 &              0 &   20719 &     NaN &  0.0013 \\
+361 &    1833 &          20 &              0 &   60619 &     NaN &     NaN \\
+128 &    1833 &          21 &              0 &  120619 &     NaN &     NaN \\
+182 &    1833 &          24 &              0 &  200619 &     NaN &     NaN \\
+297 &    1833 &          28 &              0 &  200619 &     NaN &  0.0009 \\
+298 &    1833 &          29 &              0 &  200619 &     NaN &     NaN \\
+190 &    1833 &          41 &              0 &  290519 &     NaN &     NaN \\
+173 &    1833 &          50 &              1 &   20719 &     NaN &     NaN \\
+174 &    1833 &          51 &              1 &   20719 &     NaN &     NaN \\
+223 &    1833 &          54 &              1 &   10719 &     NaN &     NaN \\
+266 &    1833 &          62 &              1 &   20719 &     NaN &  0.0031 \\
+362 &    1833 &          70 &              1 &   60619 &     NaN &  0.0037 \\
+183 &    1833 &          75 &              1 &  200619 &     NaN &     NaN \\
+300 &    1833 &          76 &              1 &  200619 &     NaN &     NaN \\
+37  &    1833 &          80 &              1 &  260619 &     NaN &     NaN \\
+338 &    1833 &          82 &              1 &  260619 &     NaN &  0.0007 \\
+339 &    1833 &          85 &              1 &  260619 &     NaN &  0.0012 \\
+191 &    1833 &          90 &              1 &  290519 &     NaN &     NaN \\
+192 &    1833 &          92 &              1 &  290519 &     NaN &     NaN \\
+348 &    1833 &          95 &              1 &  290519 &     NaN &  0.0168 \\
+224 &    1833 &          98 &              2 &   10719 &     NaN &     NaN \\
+175 &    1833 &         100 &              2 &   20719 &     NaN &     NaN \\
+176 &    1833 &         101 &              2 &   20719 &  0.0032 &     NaN \\
+177 &    1833 &         102 &              2 &   20719 &     NaN &     NaN \\
+267 &    1833 &         105 &              2 &   20719 &     NaN &  0.0015 \\
+129 &    1833 &         110 &              2 &  120619 &     NaN &     NaN \\
+38  &    1833 &         114 &              2 &  260619 &     NaN &     NaN \\
+193 &    1833 &         115 &              2 &  290519 &     NaN &     NaN \\
+194 &    1833 &         116 &              2 &  290519 &     NaN &     NaN \\
+225 &    1833 &         122 &              3 &   10719 &     NaN &     NaN \\
+226 &    1833 &         123 &              3 &   10719 &     NaN &     NaN \\
+227 &    1833 &         125 &              3 &   10719 &     NaN &     NaN \\
+228 &    1833 &         126 &              3 &   10719 &     NaN &     NaN \\
+229 &    1833 &         127 &              3 &   10719 &     NaN &     NaN \\
+178 &    1833 &         133 &              3 &   20719 &     NaN &     NaN \\
+268 &    1833 &         138 &              3 &   20719 &     NaN &  0.0002 \\
+269 &    1833 &         139 &              3 &   20719 &     NaN &  0.0012 \\
+270 &    1833 &         140 &              3 &   20719 &     NaN &  0.0006 \\
+184 &    1833 &         148 &              3 &  200619 &     NaN &     NaN \\
+340 &    1833 &         152 &              3 &  260619 &     NaN &     NaN \\
+341 &    1833 &         153 &              3 &  260619 &     NaN &  0.0037 \\
+195 &    1833 &         158 &              3 &  290519 &     NaN &     NaN \\
+196 &    1833 &         159 &              3 &  290519 &  0.0035 &     NaN \\
+230 &    1833 &         162 &              4 &   10719 &     NaN &     NaN \\
+123 &    1833 &         169 &              4 &   50619 &  0.0034 &     NaN \\
+185 &    1833 &         175 &              4 &  200619 &     NaN &     NaN \\
+301 &    1833 &         177 &              4 &  200619 &     NaN &     NaN \\
+231 &    1833 &         189 &              5 &   10719 &     NaN &     NaN \\
+179 &    1833 &         191 &              5 &   20719 &  0.0036 &     NaN \\
+180 &    1833 &         192 &              5 &   20719 &     NaN &     NaN \\
+271 &    1833 &         194 &              5 &   20719 &     NaN &  0.0039 \\
+363 &    1833 &         197 &              5 &   60619 &     NaN &  0.0041 \\
+364 &    1833 &         199 &              5 &   60619 &     NaN &     NaN \\
+349 &    1833 &         216 &              5 &  290519 &     NaN &  0.0011 \\
+232 &    1833 &         223 &              6 &   10719 &     NaN &     NaN \\
+181 &    1833 &         225 &              6 &   20719 &     NaN &     NaN \\
+272 &    1833 &         227 &              6 &   20719 &     NaN &  0.0038 \\
+273 &    1833 &         228 &              6 &   20719 &     NaN &  0.0017 \\
+124 &    1833 &         230 &              6 &   50619 &     NaN &     NaN \\
+350 &    1833 &         232 &              6 &  290519 &     NaN &  0.0133 \\
+125 &    1833 &         235 &              6 &   50619 &  0.0029 &     NaN \\
+126 &    1833 &         236 &              6 &   50619 &     NaN &     NaN \\
+367 &    1833 &         241 &              6 &   60619 &     NaN &     NaN \\
+368 &    1833 &         242 &              6 &   60619 &     NaN &  0.0019 \\
+346 &    1833 &         247 &              6 &  120619 &     NaN &     NaN \\
+186 &    1833 &         255 &              6 &  200619 &     NaN &     NaN \\
+187 &    1833 &         256 &              6 &  200619 &     NaN &     NaN \\
+302 &    1833 &         259 &              6 &  200619 &     NaN &  0.0016 \\
+303 &    1833 &         262 &              6 &  200619 &     NaN &  0.0028 \\
+39  &    1833 &         266 &              6 &  260619 &     NaN &     NaN \\
+40  &    1833 &         267 &              6 &  260619 &     NaN &     NaN \\
+41  &    1833 &         268 &              6 &  260619 &     NaN &     NaN \\
+42  &    1833 &         269 &              6 &  260619 &     NaN &     NaN \\
+342 &    1833 &         271 &              6 &  260619 &     NaN &     NaN \\
+343 &    1833 &         272 &              6 &  260619 &     NaN &  0.0009 \\
+344 &    1833 &         273 &              6 &  260619 &     NaN &  0.0001 \\
+197 &    1833 &         283 &              6 &  290519 &     NaN &     NaN \\
+351 &    1833 &         290 &              6 &  290519 &     NaN &     NaN \\
+352 &    1833 &         291 &              6 &  290519 &     NaN &  0.0012 \\
+353 &    1833 &         292 &              6 &  290519 &     NaN &  0.0211 \\
+233 &    1833 &         294 &              7 &   10719 &     NaN &     NaN \\
+234 &    1833 &         296 &              7 &   10719 &  0.0035 &     NaN \\
+235 &    1833 &         297 &              7 &   10719 &     NaN &     NaN \\
+127 &    1833 &         298 &              7 &   50619 &  0.0033 &     NaN \\
+369 &    1833 &         300 &              7 &   60619 &     NaN &     NaN \\
+347 &    1833 &         303 &              7 &  120619 &     NaN &     NaN \\
+188 &    1833 &         305 &              7 &  200619 &  0.0050 &     NaN \\
+189 &    1833 &         306 &              7 &  200619 &     NaN &     NaN \\
+345 &    1833 &         311 &              7 &  260619 &     NaN &     NaN \\
+354 &    1833 &         323 &              7 &  290519 &     NaN &  0.0213 \\
+355 &    1833 &         325 &              7 &  290519 &     NaN &  0.0009 \\
+356 &    1833 &         326 &              7 &  290519 &     NaN &  0.0185 \\
+107 &    1834 &         330 &              0 &   10319 &     NaN &     NaN \\
+155 &    1834 &         332 &              0 &  110319 &     NaN &     NaN \\
+156 &    1834 &         341 &              0 &  110319 &     NaN &     NaN \\
+26  &    1834 &         343 &              0 &  120319 &     NaN &  0.0043 \\
+15  &    1834 &         345 &              0 &  220319 &     NaN &  0.0040 \\
+108 &    1834 &         348 &              1 &   10319 &     NaN &     NaN \\
+130 &    1834 &         350 &              1 &   60319 &     NaN &     NaN \\
+27  &    1834 &         352 &              1 &  120319 &     NaN &     NaN \\
+131 &    1834 &         353 &              2 &   60319 &     NaN &     NaN \\
+28  &    1834 &         354 &              2 &  120319 &     NaN &     NaN \\
+29  &    1834 &         355 &              2 &  120319 &     NaN &     NaN \\
+247 &    1834 &         357 &              2 &  120319 &     NaN &  0.0042 \\
+304 &    1834 &         367 &              3 &   10319 &     NaN &  0.0045 \\
+305 &    1834 &         368 &              3 &   10319 &     NaN &  0.0045 \\
+132 &    1834 &         371 &              3 &   60319 &     NaN &  0.0041 \\
+133 &    1834 &         372 &              3 &   60319 &     NaN &     NaN \\
+330 &    1834 &         373 &              3 &   60319 &     NaN &  0.0091 \\
+157 &    1834 &         374 &              3 &  110319 &     NaN &     NaN \\
+30  &    1834 &         376 &              3 &  120319 &     NaN &     NaN \\
+31  &    1834 &         377 &              3 &  120319 &     NaN &     NaN \\
+248 &    1834 &         378 &              3 &  120319 &     NaN &  0.0044 \\
+54  &    1834 &         380 &              3 &  150319 &     NaN &     NaN \\
+274 &    1834 &         383 &              3 &  150319 &     NaN &  0.0048 \\
+16  &    1834 &         384 &              3 &  220319 &     NaN &  0.0040 \\
+109 &    1834 &         387 &              4 &   10319 &     NaN &     NaN \\
+110 &    1834 &         388 &              4 &   10319 &     NaN &     NaN \\
+111 &    1834 &         389 &              4 &   10319 &     NaN &     NaN \\
+112 &    1834 &         390 &              4 &   10319 &     NaN &     NaN \\
+17  &    1834 &         402 &              4 &  220319 &     NaN &     NaN \\
+287 &    1834 &         404 &              4 &  220319 &     NaN &     NaN \\
+288 &    1834 &         405 &              4 &  220319 &     NaN &     NaN \\
+289 &    1834 &         406 &              4 &  220319 &     NaN &     NaN \\
+290 &    1834 &         407 &              4 &  220319 &     NaN &     NaN \\
+113 &    1834 &         410 &              5 &   10319 &     NaN &     NaN \\
+114 &    1834 &         411 &              5 &   10319 &     NaN &     NaN \\
+306 &    1834 &         413 &              5 &   10319 &     NaN &     NaN \\
+307 &    1834 &         414 &              5 &   10319 &     NaN &     NaN \\
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+136 &    1834 &         452 &              6 &   60319 &  0.0042 &     NaN \\
+137 &    1834 &         453 &              6 &   60319 &     NaN &     NaN \\
+138 &    1834 &         454 &              6 &   60319 &  0.0039 &     NaN \\
+139 &    1834 &         455 &              6 &   60319 &  0.0034 &     NaN \\
+333 &    1834 &         457 &              6 &   60319 &     NaN &  0.0044 \\
+334 &    1834 &         458 &              6 &   60319 &     NaN &  0.0046 \\
+161 &    1834 &         461 &              6 &  110319 &  0.0025 &     NaN \\
+162 &    1834 &         462 &              6 &  110319 &  0.0034 &     NaN \\
+163 &    1834 &         464 &              6 &  110319 &  0.0031 &     NaN \\
+164 &    1834 &         465 &              6 &  110319 &     NaN &     NaN \\
+33  &    1834 &         472 &              6 &  120319 &  0.0034 &     NaN \\
+56  &    1834 &         473 &              6 &  150319 &     NaN &     NaN \\
+57  &    1834 &         474 &              6 &  150319 &  0.0033 &     NaN \\
+281 &    1834 &         477 &              6 &  150319 &     NaN &     NaN \\
+18  &    1834 &         483 &              6 &  220319 &  0.0037 &     NaN \\
+19  &    1834 &         484 &              6 &  220319 &     NaN &     NaN \\
+20  &    1834 &         485 &              6 &  220319 &     NaN &     NaN \\
+21  &    1834 &         486 &              6 &  220319 &     NaN &     NaN \\
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+34  &    1834 &         527 &              7 &  120319 &     NaN &     NaN \\
+35  &    1834 &         529 &              7 &  120319 &  0.0021 &     NaN \\
+36  &    1834 &         530 &              7 &  120319 &     NaN &     NaN \\
+58  &    1834 &         537 &              7 &  150319 &     NaN &     NaN \\
+59  &    1834 &         538 &              7 &  150319 &     NaN &     NaN \\
+60  &    1834 &         539 &              7 &  150319 &     NaN &     NaN \\
+61  &    1834 &         540 &              7 &  150319 &     NaN &     NaN \\
+62  &    1834 &         541 &              7 &  150319 &     NaN &     NaN \\
+63  &    1834 &         542 &              7 &  150319 &     NaN &     NaN \\
+282 &    1834 &         550 &              7 &  150319 &     NaN &     NaN \\
+283 &    1834 &         551 &              7 &  150319 &     NaN &     NaN \\
+284 &    1834 &         552 &              7 &  150319 &     NaN &     NaN \\
+285 &    1834 &         553 &              7 &  150319 &     NaN &     NaN \\
+286 &    1834 &         554 &              7 &  150319 &     NaN &     NaN \\
+22  &    1834 &         560 &              7 &  220319 &     NaN &     NaN \\
+23  &    1834 &         561 &              7 &  220319 &     NaN &     NaN \\
+24  &    1834 &         562 &              7 &  220319 &     NaN &     NaN \\
+25  &    1834 &         563 &              7 &  220319 &     NaN &     NaN \\
+294 &    1834 &         566 &              7 &  220319 &     NaN &     NaN \\
+295 &    1834 &         567 &              7 &  220319 &     NaN &     NaN \\
+296 &    1834 &         568 &              7 &  220319 &     NaN &     NaN \\
+198 &    1839 &         569 &              0 &  120619 &     NaN &     NaN \\
+64  &    1839 &         574 &              0 &  290519 &     NaN &     NaN \\
+236 &    1839 &         576 &              1 &  120619 &     NaN &  0.0009 \\
+203 &    1839 &         579 &              1 &  200619 &     NaN &     NaN \\
+237 &    1839 &         583 &              3 &  120619 &     NaN &  0.0183 \\
+204 &    1839 &         585 &              3 &  200619 &     NaN &     NaN \\
+0   &    1839 &         587 &              4 &   60619 &  0.0034 &     NaN \\
+357 &    1839 &         589 &              4 &   60619 &     NaN &     NaN \\
+199 &    1839 &         590 &              4 &  120619 &     NaN &     NaN \\
+238 &    1839 &         593 &              4 &  120619 &     NaN &     NaN \\
+239 &    1839 &         594 &              4 &  120619 &     NaN &     NaN \\
+240 &    1839 &         595 &              4 &  120619 &     NaN &     NaN \\
+241 &    1839 &         596 &              4 &  120619 &     NaN &     NaN \\
+205 &    1839 &         598 &              4 &  200619 &  0.0034 &     NaN \\
+206 &    1839 &         599 &              4 &  200619 &  0.0038 &     NaN \\
+207 &    1839 &         600 &              4 &  200619 &     NaN &     NaN \\
+65  &    1839 &         602 &              4 &  290519 &  0.0031 &     NaN \\
+66  &    1839 &         603 &              4 &  290519 &  0.0034 &     NaN \\
+1   &    1839 &         606 &              5 &   60619 &     NaN &     NaN \\
+358 &    1839 &         608 &              5 &   60619 &     NaN &     NaN \\
+200 &    1839 &         610 &              5 &  120619 &     NaN &     NaN \\
+208 &    1839 &         614 &              5 &  200619 &     NaN &     NaN \\
+67  &    1839 &         618 &              5 &  290519 &  0.0077 &     NaN \\
+68  &    1839 &         619 &              5 &  290519 &     NaN &     NaN \\
+69  &    1839 &         620 &              5 &  290519 &     NaN &     NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.0035 &     NaN \\
+359 &    1839 &         626 &              6 &   60619 &     NaN &  0.0034 \\
+360 &    1839 &         627 &              6 &   60619 &     NaN &  0.0004 \\
+201 &    1839 &         630 &              6 &  120619 &     NaN &     NaN \\
+202 &    1839 &         631 &              6 &  120619 &     NaN &     NaN \\
+242 &    1839 &         636 &              6 &  120619 &     NaN &     NaN \\
+243 &    1839 &         637 &              6 &  120619 &     NaN &     NaN \\
+244 &    1839 &         638 &              6 &  120619 &     NaN &     NaN \\
+245 &    1839 &         639 &              6 &  120619 &     NaN &  0.0017 \\
+246 &    1839 &         640 &              6 &  120619 &     NaN &     NaN \\
+209 &    1839 &         643 &              6 &  200619 &     NaN &     NaN \\
+210 &    1839 &         647 &              6 &  200619 &     NaN &     NaN \\
+211 &    1839 &         648 &              6 &  200619 &     NaN &     NaN \\
+212 &    1839 &         650 &              6 &  200619 &     NaN &     NaN \\
+70  &    1839 &         653 &              6 &  290519 &  0.0037 &     NaN \\
+71  &    1839 &         654 &              6 &  290519 &     NaN &     NaN \\
+72  &    1839 &         657 &              7 &  290519 &     NaN &     NaN \\
+213 &    1839 &         662 &              7 &  200619 &     NaN &     NaN \\
+214 &    1839 &         663 &              7 &  200619 &     NaN &     NaN \\
+215 &    1839 &         664 &              7 &  200619 &     NaN &     NaN \\
+73  &    1839 &         669 &              7 &  290519 &     NaN &     NaN \\
+74  &    1839 &         670 &              7 &  290519 &     NaN &     NaN \\
+75  &    1839 &         672 &              7 &  290519 &     NaN &     NaN \\
+3   &    1849 &         676 &              0 &  110319 &  0.0034 &     NaN \\
+76  &    1849 &         677 &              0 &  150319 &     NaN &  0.0039 \\
+77  &    1849 &         679 &              0 &  150319 &     NaN &     NaN \\
+322 &    1849 &         681 &              0 &  150319 &     NaN &     NaN \\
+323 &    1849 &         682 &              0 &  150319 &     NaN &  0.0040 \\
+370 &    1849 &         683 &              0 &  220319 &     NaN &  0.0040 \\
+91  &    1849 &         686 &              0 &  280219 &     NaN &     NaN \\
+251 &    1849 &         689 &              0 &  280219 &     NaN &     NaN \\
+252 &    1849 &         690 &              0 &  280219 &     NaN &  0.0041 \\
+371 &    1849 &         691 &              1 &  220319 &     NaN &  0.0018 \\
+315 &    1849 &         708 &              1 &   60319 &     NaN &  0.0129 \\
+4   &    1849 &         714 &              1 &  110319 &     NaN &     NaN \\
+5   &    1849 &         716 &              1 &  110319 &     NaN &     NaN \\
+6   &    1849 &         717 &              1 &  110319 &     NaN &     NaN \\
+7   &    1849 &         718 &              1 &  110319 &     NaN &     NaN \\
+78  &    1849 &         720 &              1 &  150319 &     NaN &     NaN \\
+79  &    1849 &         721 &              1 &  150319 &     NaN &     NaN \\
+80  &    1849 &         722 &              1 &  150319 &     NaN &     NaN \\
+324 &    1849 &         724 &              1 &  150319 &     NaN &     NaN \\
+325 &    1849 &         725 &              1 &  150319 &     NaN &     NaN \\
+326 &    1849 &         726 &              1 &  150319 &     NaN &     NaN \\
+43  &    1849 &         728 &              1 &  220319 &     NaN &     NaN \\
+44  &    1849 &         729 &              1 &  220319 &     NaN &     NaN \\
+92  &    1849 &         739 &              1 &  280219 &     NaN &     NaN \\
+93  &    1849 &         740 &              1 &  280219 &     NaN &     NaN \\
+254 &    1849 &         743 &              1 &  280219 &     NaN &     NaN \\
+255 &    1849 &         744 &              1 &  280219 &     NaN &     NaN \\
+8   &    1849 &         750 &              2 &  110319 &     NaN &     NaN \\
+145 &    1849 &         752 &              2 &   60319 &     NaN &     NaN \\
+316 &    1849 &         755 &              2 &   60319 &     NaN &     NaN \\
+9   &    1849 &         756 &              2 &  110319 &  0.0028 &     NaN \\
+10  &    1849 &         757 &              2 &  110319 &     NaN &     NaN \\
+82  &    1849 &         758 &              2 &  150319 &     NaN &     NaN \\
+83  &    1849 &         760 &              2 &  150319 &     NaN &     NaN \\
+327 &    1849 &         761 &              2 &  150319 &     NaN &     NaN \\
+46  &    1849 &         763 &              2 &  220319 &     NaN &     NaN \\
+94  &    1849 &         769 &              2 &  280219 &     NaN &     NaN \\
+95  &    1849 &         770 &              2 &  280219 &  0.0039 &     NaN \\
+256 &    1849 &         773 &              2 &  280219 &     NaN &     NaN \\
+146 &    1849 &         783 &              3 &   60319 &     NaN &     NaN \\
+147 &    1849 &         784 &              3 &   60319 &     NaN &     NaN \\
+148 &    1849 &         785 &              3 &   60319 &     NaN &     NaN \\
+11  &    1849 &         787 &              3 &  110319 &     NaN &     NaN \\
+84  &    1849 &         790 &              3 &  150319 &     NaN &     NaN \\
+85  &    1849 &         791 &              3 &  150319 &     NaN &     NaN \\
+328 &    1849 &         793 &              3 &  150319 &     NaN &     NaN \\
+47  &    1849 &         798 &              3 &  220319 &     NaN &     NaN \\
+48  &    1849 &         799 &              3 &  220319 &     NaN &     NaN \\
+372 &    1849 &         803 &              3 &  220319 &     NaN &     NaN \\
+373 &    1849 &         804 &              3 &  220319 &     NaN &     NaN \\
+374 &    1849 &         805 &              3 &  220319 &     NaN &  0.0017 \\
+96  &    1849 &         810 &              3 &  280219 &     NaN &     NaN \\
+97  &    1849 &         811 &              3 &  280219 &     NaN &     NaN \\
+98  &    1849 &         812 &              3 &  280219 &     NaN &     NaN \\
+99  &    1849 &         813 &              3 &  280219 &     NaN &     NaN \\
+257 &    1849 &         816 &              3 &  280219 &     NaN &     NaN \\
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+259 &    1849 &         818 &              3 &  280219 &     NaN &     NaN \\
+149 &    1849 &         822 &              4 &   60319 &     NaN &     NaN \\
+317 &    1849 &         824 &              4 &   60319 &     NaN &  0.0043 \\
+12  &    1849 &         825 &              4 &  110319 &  0.0039 &     NaN \\
+86  &    1849 &         832 &              4 &  150319 &     NaN &     NaN \\
+49  &    1849 &         840 &              4 &  220319 &     NaN &     NaN \\
+100 &    1849 &         843 &              4 &  280219 &  0.0038 &     NaN \\
+150 &    1849 &         854 &              5 &   60319 &     NaN &     NaN \\
+151 &    1849 &         855 &              5 &   60319 &     NaN &     NaN \\
+318 &    1849 &         856 &              5 &   60319 &     NaN &     NaN \\
+13  &    1849 &         860 &              5 &  110319 &     NaN &     NaN \\
+14  &    1849 &         861 &              5 &  110319 &     NaN &     NaN \\
+87  &    1849 &         867 &              5 &  150319 &     NaN &     NaN \\
+88  &    1849 &         868 &              5 &  150319 &     NaN &  0.0038 \\
+89  &    1849 &         869 &              5 &  150319 &     NaN &     NaN \\
+90  &    1849 &         870 &              5 &  150319 &  0.0040 &     NaN \\
+329 &    1849 &         873 &              5 &  150319 &     NaN &     NaN \\
+50  &    1849 &         877 &              5 &  220319 &     NaN &     NaN \\
+51  &    1849 &         878 &              5 &  220319 &     NaN &     NaN \\
+52  &    1849 &         879 &              5 &  220319 &     NaN &     NaN \\
+375 &    1849 &         883 &              5 &  220319 &     NaN &  0.0037 \\
+376 &    1849 &         884 &              5 &  220319 &     NaN &     NaN \\
+377 &    1849 &         885 &              5 &  220319 &     NaN &  0.0047 \\
+378 &    1849 &         886 &              5 &  220319 &     NaN &     NaN \\
+101 &    1849 &         888 &              5 &  280219 &  0.0040 &     NaN \\
+319 &    1849 &         901 &              6 &   60319 &     NaN &  0.0039 \\
+320 &    1849 &         902 &              6 &   60319 &     NaN &  0.0155 \\
+102 &    1849 &         909 &              6 &  280219 &     NaN &     NaN \\
+103 &    1849 &         910 &              6 &  280219 &     NaN &     NaN \\
+260 &    1849 &         916 &              6 &  280219 &     NaN &  0.0142 \\
+261 &    1849 &         917 &              6 &  280219 &     NaN &  0.0131 \\
+262 &    1849 &         918 &              7 &  280219 &     NaN &     NaN \\
+152 &    1849 &         924 &              7 &   60319 &     NaN &     NaN \\
+153 &    1849 &         925 &              7 &   60319 &     NaN &     NaN \\
+154 &    1849 &         926 &              7 &   60319 &     NaN &     NaN \\
+321 &    1849 &         929 &              7 &   60319 &     NaN &  0.0149 \\
+104 &    1849 &         934 &              7 &  280219 &     NaN &     NaN \\
+105 &    1849 &         935 &              7 &  280219 &     NaN &     NaN \\
+106 &    1849 &         936 &              7 &  280219 &     NaN &     NaN \\
+263 &    1849 &         940 &              7 &  280219 &     NaN &  0.0035 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_p_e_peak.csv b/actions/stimulus-response/data/statistics/values_bs_p_e_peak.csv
new file mode 100644
index 000000000..3cb4eeedb
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_p_e_peak.csv
@@ -0,0 +1,443 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
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+269,1833,3,0,10719,0.022348882599999998,
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+207,1833,14,0,20719,0.1306434678,
+326,1833,18,0,20719,,0.0854141459
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+153,1833,21,0,120619,0.0151492425,
+222,1833,24,0,200619,0.049647517599999996,
+362,1833,26,0,200619,,0.0283247168
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+364,1833,29,0,200619,,0.0020349797
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+210,1833,58,1,20719,0.061346932699999995,
+211,1833,59,1,20719,0.028198590099999997,
+327,1833,61,1,20719,,0.0530194698
+328,1833,62,1,20719,,0.1211087889
+329,1833,63,1,20719,,0.0483445166
+445,1833,70,1,60619,,0.1157188428
+223,1833,75,1,200619,0.1396430178,
+366,1833,76,1,200619,,0.0863491365
+44,1833,79,1,260619,0.047847607599999994,
+45,1833,80,1,260619,0.1685915704,
+409,1833,82,1,260619,,0.1236277734
+410,1833,85,1,260619,,0.025707536200000002
+411,1833,86,1,260619,,0.0102366946
+236,1833,90,1,290519,0.022198890099999997,
+237,1833,91,1,290519,0.0826458677,
+238,1833,92,1,290519,0.0616469177,
+429,1833,95,1,290519,,0.0454845452
+279,1833,96,2,10719,0.1451927404,
+280,1833,98,2,10719,0.0109494525,
+212,1833,100,2,20719,0.1687415629,
+213,1833,101,2,20719,0.0007499625,
+214,1833,102,2,20719,,
+330,1833,105,2,20719,,0.1728082719
+143,1833,106,2,50619,0.0181490925,
+154,1833,110,2,120619,0.0268486576,
+46,1833,114,2,260619,0.1160941953,
+239,1833,115,2,290519,0.1714414279,
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+241,1833,117,2,290519,0.056697165099999995,
+281,1833,121,3,10719,0.0248987551,
+282,1833,122,3,10719,0.0043497825,
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+286,1833,126,3,10719,0.0001499925,
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+217,1833,134,3,20719,0.018299085,
+218,1833,135,3,20719,0.041697915099999996,
+331,1833,138,3,20719,,0.055109448899999997
+332,1833,139,3,20719,,0.0202397976
+333,1833,140,3,20719,,0.0085799142
+155,1833,144,3,120619,0.1334933253,
+224,1833,148,3,200619,0.1295935203,
+367,1833,149,3,200619,,0.0694093059
+47,1833,150,3,260619,0.06419679019999999,
+412,1833,152,3,260619,,0.0213071472
+413,1833,153,3,260619,,0.0760109315
+242,1833,158,3,290519,0.035998200099999995,
+243,1833,159,3,290519,0.0475476226,
+289,1833,162,4,10719,,
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+322,1849,917,6,280219,,0.1235837642
+323,1849,918,7,280219,,
+184,1849,924,7,60319,0.044847757599999996,
+185,1849,925,7,60319,0.14729263539999998,
+186,1849,926,7,60319,0.031048447599999997,
+390,1849,929,7,60319,,0.080904191
+120,1849,934,7,280219,0.00179991,
+121,1849,935,7,280219,0.00719964,
+122,1849,936,7,280219,0.1619919004,
+123,1849,937,7,280219,0.09899505019999999,
+324,1849,940,7,280219,,0.023319766800000002
diff --git a/actions/stimulus-response/data/statistics/values_bs_p_e_peak.tex b/actions/stimulus-response/data/statistics/values_bs_p_e_peak.tex
new file mode 100644
index 000000000..61b324b0b
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_p_e_peak.tex
@@ -0,0 +1,448 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+325 &    1833 &           0 &              0 &   20719 &       NaN &  0.039600 \\
+268 &    1833 &           1 &              0 &   10719 &  0.108595 &       NaN \\
+269 &    1833 &           3 &              0 &   10719 &  0.022349 &       NaN \\
+270 &    1833 &           4 &              0 &   10719 &  0.024599 &       NaN \\
+271 &    1833 &           6 &              0 &   10719 &  0.058347 &       NaN \\
+272 &    1833 &           7 &              0 &   10719 &  0.033298 &       NaN \\
+204 &    1833 &          10 &              0 &   20719 &  0.086846 &  0.062094 \\
+205 &    1833 &          12 &              0 &   20719 &  0.097795 &       NaN \\
+206 &    1833 &          13 &              0 &   20719 &  0.021599 &  0.044770 \\
+207 &    1833 &          14 &              0 &   20719 &  0.130643 &       NaN \\
+326 &    1833 &          18 &              0 &   20719 &       NaN &  0.085414 \\
+444 &    1833 &          20 &              0 &   60619 &       NaN &  0.014135 \\
+153 &    1833 &          21 &              0 &  120619 &  0.015149 &       NaN \\
+222 &    1833 &          24 &              0 &  200619 &  0.049648 &       NaN \\
+362 &    1833 &          26 &              0 &  200619 &       NaN &  0.028325 \\
+363 &    1833 &          28 &              0 &  200619 &       NaN &  0.007810 \\
+364 &    1833 &          29 &              0 &  200619 &       NaN &  0.002035 \\
+42  &    1833 &          32 &              0 &  260619 &  0.038698 &  0.014498 \\
+43  &    1833 &          35 &              0 &  260619 &  0.076946 &  0.035805 \\
+235 &    1833 &          41 &              0 &  290519 &  0.027599 &       NaN \\
+273 &    1833 &          47 &              1 &   10719 &  0.026249 &       NaN \\
+208 &    1833 &          50 &              1 &   20719 &  0.079946 &       NaN \\
+209 &    1833 &          51 &              1 &   20719 &  0.062247 &       NaN \\
+276 &    1833 &          53 &              1 &   10719 &  0.003450 &       NaN \\
+277 &    1833 &          54 &              1 &   10719 &  0.011249 &       NaN \\
+278 &    1833 &          55 &              1 &   10719 &  0.034798 &       NaN \\
+210 &    1833 &          58 &              1 &   20719 &  0.061347 &       NaN \\
+211 &    1833 &          59 &              1 &   20719 &  0.028199 &       NaN \\
+327 &    1833 &          61 &              1 &   20719 &       NaN &  0.053019 \\
+328 &    1833 &          62 &              1 &   20719 &       NaN &  0.121109 \\
+329 &    1833 &          63 &              1 &   20719 &       NaN &  0.048345 \\
+445 &    1833 &          70 &              1 &   60619 &       NaN &  0.115719 \\
+223 &    1833 &          75 &              1 &  200619 &  0.139643 &       NaN \\
+366 &    1833 &          76 &              1 &  200619 &       NaN &  0.086349 \\
+44  &    1833 &          79 &              1 &  260619 &  0.047848 &       NaN \\
+45  &    1833 &          80 &              1 &  260619 &  0.168592 &       NaN \\
+409 &    1833 &          82 &              1 &  260619 &       NaN &  0.123628 \\
+410 &    1833 &          85 &              1 &  260619 &       NaN &  0.025708 \\
+411 &    1833 &          86 &              1 &  260619 &       NaN &  0.010237 \\
+236 &    1833 &          90 &              1 &  290519 &  0.022199 &       NaN \\
+237 &    1833 &          91 &              1 &  290519 &  0.082646 &       NaN \\
+238 &    1833 &          92 &              1 &  290519 &  0.061647 &       NaN \\
+429 &    1833 &          95 &              1 &  290519 &       NaN &  0.045485 \\
+279 &    1833 &          96 &              2 &   10719 &  0.145193 &       NaN \\
+280 &    1833 &          98 &              2 &   10719 &  0.010949 &       NaN \\
+212 &    1833 &         100 &              2 &   20719 &  0.168742 &       NaN \\
+213 &    1833 &         101 &              2 &   20719 &  0.000750 &       NaN \\
+214 &    1833 &         102 &              2 &   20719 &       NaN &       NaN \\
+330 &    1833 &         105 &              2 &   20719 &       NaN &  0.172808 \\
+143 &    1833 &         106 &              2 &   50619 &  0.018149 &       NaN \\
+154 &    1833 &         110 &              2 &  120619 &  0.026849 &       NaN \\
+46  &    1833 &         114 &              2 &  260619 &  0.116094 &       NaN \\
+239 &    1833 &         115 &              2 &  290519 &  0.171441 &       NaN \\
+240 &    1833 &         116 &              2 &  290519 &  0.063447 &       NaN \\
+241 &    1833 &         117 &              2 &  290519 &  0.056697 &       NaN \\
+281 &    1833 &         121 &              3 &   10719 &  0.024899 &       NaN \\
+282 &    1833 &         122 &              3 &   10719 &  0.004350 &       NaN \\
+283 &    1833 &         123 &              3 &   10719 &  0.003000 &       NaN \\
+284 &    1833 &         124 &              3 &   10719 &  0.031198 &       NaN \\
+285 &    1833 &         125 &              3 &   10719 &  0.001650 &       NaN \\
+286 &    1833 &         126 &              3 &   10719 &  0.000150 &       NaN \\
+287 &    1833 &         127 &              3 &   10719 &  0.034198 &       NaN \\
+288 &    1833 &         128 &              3 &   10719 &  0.043648 &       NaN \\
+215 &    1833 &         130 &              3 &   20719 &  0.094795 &       NaN \\
+216 &    1833 &         133 &              3 &   20719 &  0.042898 &       NaN \\
+217 &    1833 &         134 &              3 &   20719 &  0.018299 &       NaN \\
+218 &    1833 &         135 &              3 &   20719 &  0.041698 &       NaN \\
+331 &    1833 &         138 &              3 &   20719 &       NaN &  0.055109 \\
+332 &    1833 &         139 &              3 &   20719 &       NaN &  0.020240 \\
+333 &    1833 &         140 &              3 &   20719 &       NaN &  0.008580 \\
+155 &    1833 &         144 &              3 &  120619 &  0.133493 &       NaN \\
+224 &    1833 &         148 &              3 &  200619 &  0.129594 &       NaN \\
+367 &    1833 &         149 &              3 &  200619 &       NaN &  0.069409 \\
+47  &    1833 &         150 &              3 &  260619 &  0.064197 &       NaN \\
+412 &    1833 &         152 &              3 &  260619 &       NaN &  0.021307 \\
+413 &    1833 &         153 &              3 &  260619 &       NaN &  0.076011 \\
+242 &    1833 &         158 &              3 &  290519 &  0.035998 &       NaN \\
+243 &    1833 &         159 &              3 &  290519 &  0.047548 &       NaN \\
+289 &    1833 &         162 &              4 &   10719 &       NaN &       NaN \\
+156 &    1833 &         168 &              4 &  120619 &  0.031498 &  0.019635 \\
+145 &    1833 &         169 &              4 &   50619 &  0.034648 &       NaN \\
+157 &    1833 &         171 &              4 &  120619 &  0.127494 &       NaN \\
+225 &    1833 &         175 &              4 &  200619 &  0.098545 &       NaN \\
+368 &    1833 &         177 &              4 &  200619 &       NaN &       NaN \\
+290 &    1833 &         189 &              5 &   10719 &  0.092695 &       NaN \\
+219 &    1833 &         191 &              5 &   20719 &  0.337633 &       NaN \\
+220 &    1833 &         192 &              5 &   20719 &  0.059547 &       NaN \\
+334 &    1833 &         194 &              5 &   20719 &       NaN &  0.155318 \\
+335 &    1833 &         195 &              5 &   20719 &       NaN &  0.046915 \\
+448 &    1833 &         197 &              5 &   60619 &       NaN &  0.152513 \\
+449 &    1833 &         199 &              5 &   60619 &       NaN &  0.040645 \\
+158 &    1833 &         202 &              5 &  120619 &  0.046348 &       NaN \\
+48  &    1833 &         206 &              5 &  260619 &  0.171141 &       NaN \\
+414 &    1833 &         210 &              5 &  260619 &       NaN &  0.035342 \\
+430 &    1833 &         216 &              5 &  290519 &       NaN &  0.043230 \\
+431 &    1833 &         218 &              5 &  290519 &       NaN &  0.052854 \\
+291 &    1833 &         223 &              6 &   10719 &  0.221239 &       NaN \\
+221 &    1833 &         225 &              6 &   20719 &  0.452377 &       NaN \\
+336 &    1833 &         227 &              6 &   20719 &       NaN &  0.151303 \\
+337 &    1833 &         228 &              6 &   20719 &       NaN &  0.094709 \\
+146 &    1833 &         230 &              6 &   50619 &  0.021749 &       NaN \\
+147 &    1833 &         231 &              6 &   50619 &  0.134393 &       NaN \\
+148 &    1833 &         232 &              6 &   50619 &  0.156292 &       NaN \\
+159 &    1833 &         233 &              6 &  120619 &  0.087296 &       NaN \\
+149 &    1833 &         234 &              6 &   50619 &  0.031198 &       NaN \\
+150 &    1833 &         235 &              6 &   50619 &  0.092845 &       NaN \\
+151 &    1833 &         236 &              6 &   50619 &  0.252587 &       NaN \\
+424 &    1833 &         240 &              6 &  120619 &       NaN &  0.025960 \\
+453 &    1833 &         241 &              6 &   60619 &       NaN &  0.006875 \\
+454 &    1833 &         242 &              6 &   60619 &       NaN &  0.123749 \\
+49  &    1833 &         243 &              6 &  260619 &  0.051747 &       NaN \\
+160 &    1833 &         244 &              6 &  120619 &  0.050547 &       NaN \\
+425 &    1833 &         247 &              6 &  120619 &       NaN &  0.011000 \\
+426 &    1833 &         248 &              6 &  120619 &       NaN &  0.109724 \\
+427 &    1833 &         249 &              6 &  120619 &       NaN &  0.088164 \\
+227 &    1833 &         253 &              6 &  200619 &  0.033298 &  0.026345 \\
+228 &    1833 &         254 &              6 &  200619 &  0.098245 &       NaN \\
+229 &    1833 &         255 &              6 &  200619 &  0.345583 &       NaN \\
+230 &    1833 &         256 &              6 &  200619 &  0.038548 &       NaN \\
+231 &    1833 &         257 &              6 &  200619 &  0.013349 &       NaN \\
+369 &    1833 &         259 &              6 &  200619 &       NaN &  0.197943 \\
+370 &    1833 &         260 &              6 &  200619 &       NaN &  0.053349 \\
+371 &    1833 &         261 &              6 &  200619 &       NaN &  0.072544 \\
+372 &    1833 &         262 &              6 &  200619 &       NaN &  0.106094 \\
+415 &    1833 &         263 &              6 &  260619 &       NaN &  0.071147 \\
+50  &    1833 &         266 &              6 &  260619 &  0.088796 &       NaN \\
+51  &    1833 &         267 &              6 &  260619 &  0.091495 &       NaN \\
+52  &    1833 &         268 &              6 &  260619 &  0.062847 &       NaN \\
+53  &    1833 &         269 &              6 &  260619 &  0.050997 &       NaN \\
+416 &    1833 &         271 &              6 &  260619 &       NaN &  0.049470 \\
+417 &    1833 &         272 &              6 &  260619 &       NaN &  0.100977 \\
+418 &    1833 &         273 &              6 &  260619 &       NaN &  0.029784 \\
+419 &    1833 &         274 &              6 &  260619 &       NaN &  0.016999 \\
+420 &    1833 &         275 &              6 &  260619 &       NaN &  0.068322 \\
+244 &    1833 &         283 &              6 &  290519 &  0.062847 &       NaN \\
+433 &    1833 &         290 &              6 &  290519 &       NaN &  0.094104 \\
+434 &    1833 &         291 &              6 &  290519 &       NaN &  0.108294 \\
+435 &    1833 &         292 &              6 &  290519 &       NaN &  0.084424 \\
+292 &    1833 &         294 &              7 &   10719 &  0.045598 &       NaN \\
+293 &    1833 &         296 &              7 &   10719 &  0.037948 &       NaN \\
+294 &    1833 &         297 &              7 &   10719 &  0.013199 &       NaN \\
+152 &    1833 &         298 &              7 &   50619 &  0.119694 &       NaN \\
+455 &    1833 &         300 &              7 &   60619 &       NaN &  0.107524 \\
+161 &    1833 &         301 &              7 &  120619 &  0.110694 &       NaN \\
+428 &    1833 &         303 &              7 &  120619 &       NaN &  0.106644 \\
+232 &    1833 &         304 &              7 &  200619 &  0.117594 &  0.110164 \\
+233 &    1833 &         305 &              7 &  200619 &  0.006450 &       NaN \\
+234 &    1833 &         306 &              7 &  200619 &       NaN &       NaN \\
+421 &    1833 &         311 &              7 &  260619 &       NaN &  0.091343 \\
+436 &    1833 &         323 &              7 &  290519 &       NaN &  0.026730 \\
+437 &    1833 &         325 &              7 &  290519 &       NaN &  0.052964 \\
+438 &    1833 &         326 &              7 &  290519 &       NaN &  0.040425 \\
+124 &    1834 &         329 &              0 &   10319 &  0.284836 &       NaN \\
+125 &    1834 &         330 &              0 &   10319 &  0.308385 &       NaN \\
+187 &    1834 &         332 &              0 &  110319 &  0.231288 &       NaN \\
+188 &    1834 &         341 &              0 &  110319 &  0.258437 &       NaN \\
+31  &    1834 &         343 &              0 &  120319 &  0.253937 &  0.112694 \\
+17  &    1834 &         345 &              0 &  220319 &  0.201290 &  0.086899 \\
+126 &    1834 &         348 &              1 &   10319 &  0.041698 &       NaN \\
+162 &    1834 &         350 &              1 &   60319 &  0.018749 &       NaN \\
+32  &    1834 &         352 &              1 &  120319 &  0.016199 &       NaN \\
+163 &    1834 &         353 &              2 &   60319 &  0.132143 &       NaN \\
+33  &    1834 &         354 &              2 &  120319 &  0.024899 &       NaN \\
+34  &    1834 &         355 &              2 &  120319 &  0.008850 &       NaN \\
+18  &    1834 &         357 &              2 &  220319 &  0.236688 &       NaN \\
+19  &    1834 &         358 &              2 &  220319 &  0.057147 &       NaN \\
+351 &    1834 &         360 &              2 &  220319 &       NaN &  0.020570 \\
+127 &    1834 &         361 &              3 &   10319 &  0.013499 &       NaN \\
+128 &    1834 &         364 &              3 &   10319 &  0.319334 &       NaN \\
+373 &    1834 &         367 &              3 &   10319 &       NaN &  0.056264 \\
+374 &    1834 &         368 &              3 &   10319 &       NaN &  0.073424 \\
+164 &    1834 &         371 &              3 &   60319 &  0.298785 &  0.079364 \\
+165 &    1834 &         372 &              3 &   60319 &  0.050097 &       NaN \\
+401 &    1834 &         373 &              3 &   60319 &       NaN &  0.003905 \\
+189 &    1834 &         374 &              3 &  110319 &  0.219589 &       NaN \\
+35  &    1834 &         376 &              3 &  120319 &  0.344983 &       NaN \\
+36  &    1834 &         377 &              3 &  120319 &  0.113844 &       NaN \\
+309 &    1834 &         378 &              3 &  120319 &       NaN &  0.151358 \\
+66  &    1834 &         380 &              3 &  150319 &  0.203390 &       NaN \\
+67  &    1834 &         381 &              3 &  150319 &  0.149693 &  0.068804 \\
+338 &    1834 &         383 &              3 &  150319 &       NaN &  0.056594 \\
+20  &    1834 &         384 &              3 &  220319 &  0.203390 &  0.077989 \\
+129 &    1834 &         387 &              4 &   10319 &  0.035848 &       NaN \\
+130 &    1834 &         388 &              4 &   10319 &  0.025799 &       NaN \\
+131 &    1834 &         389 &              4 &   10319 &  0.069597 &       NaN \\
+132 &    1834 &         390 &              4 &   10319 &  0.130793 &       NaN \\
+21  &    1834 &         402 &              4 &  220319 &  0.034798 &       NaN \\
+352 &    1834 &         404 &              4 &  220319 &       NaN &  0.039600 \\
+353 &    1834 &         405 &              4 &  220319 &       NaN &  0.009185 \\
+354 &    1834 &         406 &              4 &  220319 &       NaN &  0.022770 \\
+355 &    1834 &         407 &              4 &  220319 &       NaN &  0.124079 \\
+133 &    1834 &         410 &              5 &   10319 &  0.277486 &       NaN \\
+134 &    1834 &         411 &              5 &   10319 &  0.166792 &       NaN \\
+375 &    1834 &         413 &              5 &   10319 &       NaN &  0.223188 \\
+376 &    1834 &         414 &              5 &   10319 &       NaN &  0.135189 \\
+166 &    1834 &         416 &              5 &   60319 &  0.394930 &       NaN \\
+167 &    1834 &         417 &              5 &   60319 &  0.134243 &       NaN \\
+402 &    1834 &         420 &              5 &   60319 &       NaN &  0.033275 \\
+403 &    1834 &         421 &              5 &   60319 &       NaN &  0.107524 \\
+190 &    1834 &         423 &              5 &  110319 &  0.056847 &       NaN \\
+191 &    1834 &         424 &              5 &  110319 &  0.154492 &       NaN \\
+192 &    1834 &         425 &              5 &  110319 &  0.136343 &       NaN \\
+37  &    1834 &         428 &              5 &  120319 &  0.180441 &  0.075679 \\
+310 &    1834 &         430 &              5 &  120319 &       NaN &  0.038115 \\
+311 &    1834 &         431 &              5 &  120319 &       NaN &  0.024310 \\
+68  &    1834 &         436 &              5 &  150319 &  0.121494 &       NaN \\
+339 &    1834 &         437 &              5 &  150319 &       NaN &  0.006545 \\
+340 &    1834 &         439 &              5 &  150319 &       NaN &  0.056979 \\
+341 &    1834 &         440 &              5 &  150319 &       NaN &  0.085634 \\
+342 &    1834 &         441 &              5 &  150319 &       NaN &  0.002310 \\
+343 &    1834 &         442 &              5 &  150319 &       NaN &  0.082884 \\
+344 &    1834 &         443 &              5 &  150319 &       NaN &  0.003960 \\
+135 &    1834 &         446 &              6 &   10319 &  0.290685 &       NaN \\
+136 &    1834 &         447 &              6 &   10319 &  0.375581 &       NaN \\
+137 &    1834 &         448 &              6 &   10319 &  0.015449 &       NaN \\
+377 &    1834 &         449 &              6 &   10319 &       NaN &  0.219943 \\
+378 &    1834 &         450 &              6 &   10319 &       NaN &  0.158233 \\
+379 &    1834 &         451 &              6 &   10319 &       NaN &  0.005445 \\
+168 &    1834 &         452 &              6 &   60319 &  0.292035 &       NaN \\
+169 &    1834 &         453 &              6 &   60319 &  0.111444 &       NaN \\
+170 &    1834 &         454 &              6 &   60319 &  0.155392 &       NaN \\
+171 &    1834 &         455 &              6 &   60319 &  0.067497 &  0.090254 \\
+404 &    1834 &         457 &              6 &   60319 &       NaN &  0.113574 \\
+405 &    1834 &         458 &              6 &   60319 &       NaN &  0.160323 \\
+193 &    1834 &         461 &              6 &  110319 &  0.173691 &       NaN \\
+194 &    1834 &         462 &              6 &  110319 &  0.188241 &       NaN \\
+195 &    1834 &         464 &              6 &  110319 &  0.003000 &       NaN \\
+196 &    1834 &         465 &              6 &  110319 &  0.010799 &       NaN \\
+38  &    1834 &         472 &              6 &  120319 &  0.224239 &  0.110659 \\
+69  &    1834 &         473 &              6 &  150319 &  0.186141 &  0.157573 \\
+70  &    1834 &         474 &              6 &  150319 &  0.160042 &       NaN \\
+345 &    1834 &         477 &              6 &  150319 &       NaN &  0.101474 \\
+22  &    1834 &         482 &              6 &  220319 &  0.033898 &       NaN \\
+23  &    1834 &         483 &              6 &  220319 &  0.296835 &       NaN \\
+24  &    1834 &         484 &              6 &  220319 &  0.047548 &       NaN \\
+25  &    1834 &         485 &              6 &  220319 &  0.041698 &       NaN \\
+26  &    1834 &         486 &              6 &  220319 &  0.077546 &       NaN \\
+356 &    1834 &         487 &              6 &  220319 &       NaN &  0.048840 \\
+357 &    1834 &         488 &              6 &  220319 &       NaN &  0.035805 \\
+358 &    1834 &         489 &              6 &  220319 &       NaN &  0.109339 \\
+138 &    1834 &         492 &              7 &   10319 &  0.129294 &       NaN \\
+139 &    1834 &         493 &              7 &   10319 &  0.153442 &       NaN \\
+140 &    1834 &         494 &              7 &   10319 &  0.067947 &       NaN \\
+141 &    1834 &         495 &              7 &   10319 &  0.147593 &       NaN \\
+142 &    1834 &         496 &              7 &   10319 &  0.286636 &       NaN \\
+380 &    1834 &         497 &              7 &   10319 &       NaN &  0.154988 \\
+381 &    1834 &         499 &              7 &   10319 &       NaN &  0.123749 \\
+382 &    1834 &         500 &              7 &   10319 &       NaN &  0.023320 \\
+383 &    1834 &         501 &              7 &   10319 &       NaN &  0.091959 \\
+172 &    1834 &         504 &              7 &   60319 &  0.050997 &       NaN \\
+173 &    1834 &         505 &              7 &   60319 &  0.119844 &       NaN \\
+174 &    1834 &         506 &              7 &   60319 &  0.170391 &  0.103179 \\
+175 &    1834 &         507 &              7 &   60319 &  0.063897 &  0.042570 \\
+176 &    1834 &         508 &              7 &   60319 &  0.097345 &  0.031405 \\
+406 &    1834 &         510 &              7 &   60319 &       NaN &  0.076229 \\
+407 &    1834 &         511 &              7 &   60319 &       NaN &  0.011550 \\
+197 &    1834 &         512 &              7 &  110319 &  0.040798 &       NaN \\
+198 &    1834 &         514 &              7 &  110319 &  0.191240 &       NaN \\
+199 &    1834 &         516 &              7 &  110319 &  0.001800 &       NaN \\
+200 &    1834 &         517 &              7 &  110319 &  0.022049 &       NaN \\
+201 &    1834 &         518 &              7 &  110319 &  0.130643 &       NaN \\
+202 &    1834 &         519 &              7 &  110319 &  0.003600 &       NaN \\
+203 &    1834 &         520 &              7 &  110319 &  0.001950 &       NaN \\
+39  &    1834 &         527 &              7 &  120319 &  0.175791 &  0.146739 \\
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+72  &    1834 &         538 &              7 &  150319 &  0.115944 &       NaN \\
+73  &    1834 &         539 &              7 &  150319 &  0.005100 &       NaN \\
+74  &    1834 &         540 &              7 &  150319 &  0.224539 &       NaN \\
+75  &    1834 &         541 &              7 &  150319 &  0.044248 &       NaN \\
+76  &    1834 &         542 &              7 &  150319 &  0.010349 &       NaN \\
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+0   &    1839 &         587 &              4 &   60619 &  0.318734 &       NaN \\
+439 &    1839 &         589 &              4 &   60619 &       NaN &  0.044055 \\
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+258 &    1839 &         600 &              4 &  200619 &  0.030748 &       NaN \\
+78  &    1839 &         602 &              4 &  290519 &  0.285436 &       NaN \\
+79  &    1839 &         603 &              4 &  290519 &  0.114594 &       NaN \\
+1   &    1839 &         606 &              5 &   60619 &  0.160792 &  0.073754 \\
+440 &    1839 &         608 &              5 &   60619 &       NaN &  0.021065 \\
+247 &    1839 &         610 &              5 &  120619 &  0.046498 &       NaN \\
+248 &    1839 &         611 &              5 &  120619 &  0.202790 &       NaN \\
+259 &    1839 &         614 &              5 &  200619 &  0.106495 &       NaN \\
+80  &    1839 &         617 &              5 &  290519 &  0.214789 &       NaN \\
+81  &    1839 &         618 &              5 &  290519 &  0.003900 &       NaN \\
+82  &    1839 &         619 &              5 &  290519 &  0.008250 &       NaN \\
+83  &    1839 &         620 &              5 &  290519 &  0.070646 &       NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.314834 &       NaN \\
+441 &    1839 &         626 &              6 &   60619 &       NaN &  0.047080 \\
+442 &    1839 &         627 &              6 &   60619 &       NaN &  0.043780 \\
+249 &    1839 &         629 &              6 &  120619 &  0.024299 &  0.017545 \\
+250 &    1839 &         630 &              6 &  120619 &  0.025049 &       NaN \\
+251 &    1839 &         631 &              6 &  120619 &  0.031498 &       NaN \\
+301 &    1839 &         636 &              6 &  120619 &       NaN &  0.001100 \\
+302 &    1839 &         637 &              6 &  120619 &       NaN &  0.052964 \\
+303 &    1839 &         638 &              6 &  120619 &       NaN &  0.118469 \\
+304 &    1839 &         639 &              6 &  120619 &       NaN &  0.001925 \\
+305 &    1839 &         640 &              6 &  120619 &       NaN &  0.081124 \\
+260 &    1839 &         643 &              6 &  200619 &  0.004200 &       NaN \\
+261 &    1839 &         645 &              6 &  200619 &  0.098995 &       NaN \\
+262 &    1839 &         647 &              6 &  200619 &  0.054297 &       NaN \\
+263 &    1839 &         648 &              6 &  200619 &  0.066447 &       NaN \\
+264 &    1839 &         650 &              6 &  200619 &  0.027899 &       NaN \\
+84  &    1839 &         653 &              6 &  290519 &  0.286486 &       NaN \\
+85  &    1839 &         654 &              6 &  290519 &  0.146393 &       NaN \\
+3   &    1839 &         655 &              7 &   60619 &  0.190640 &  0.069464 \\
+253 &    1839 &         656 &              7 &  120619 &  0.053697 &       NaN \\
+86  &    1839 &         657 &              7 &  290519 &  0.069147 &       NaN \\
+306 &    1839 &         659 &              7 &  120619 &       NaN &  0.029700 \\
+307 &    1839 &         660 &              7 &  120619 &       NaN &  0.027225 \\
+265 &    1839 &         662 &              7 &  200619 &  0.014249 &       NaN \\
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+267 &    1839 &         664 &              7 &  200619 &  0.102895 &       NaN \\
+87  &    1839 &         669 &              7 &  290519 &  0.091645 &       NaN \\
+88  &    1839 &         670 &              7 &  290519 &  0.026849 &       NaN \\
+89  &    1839 &         671 &              7 &  290519 &  0.005700 &       NaN \\
+90  &    1839 &         672 &              7 &  290519 &  0.012899 &       NaN \\
+4   &    1849 &         676 &              0 &  110319 &  0.332233 &       NaN \\
+91  &    1849 &         677 &              0 &  150319 &  0.136793 &  0.052854 \\
+92  &    1849 &         679 &              0 &  150319 &  0.150742 &       NaN \\
+391 &    1849 &         681 &              0 &  150319 &       NaN &  0.016995 \\
+392 &    1849 &         682 &              0 &  150319 &       NaN &  0.081069 \\
+456 &    1849 &         683 &              0 &  220319 &       NaN &  0.154988 \\
+54  &    1849 &         684 &              0 &  220319 &  0.181491 &       NaN \\
+106 &    1849 &         686 &              0 &  280219 &  0.347683 &       NaN \\
+312 &    1849 &         689 &              0 &  280219 &       NaN &  0.196128 \\
+313 &    1849 &         690 &              0 &  280219 &       NaN &  0.167418 \\
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+5   &    1849 &         714 &              1 &  110319 &  0.111744 &       NaN \\
+6   &    1849 &         715 &              1 &  110319 &  0.050397 &       NaN \\
+7   &    1849 &         716 &              1 &  110319 &  0.116094 &       NaN \\
+8   &    1849 &         717 &              1 &  110319 &  0.003750 &       NaN \\
+9   &    1849 &         718 &              1 &  110319 &  0.029549 &       NaN \\
+93  &    1849 &         720 &              1 &  150319 &  0.130193 &       NaN \\
+94  &    1849 &         721 &              1 &  150319 &  0.047548 &       NaN \\
+95  &    1849 &         722 &              1 &  150319 &  0.146543 &       NaN \\
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+394 &    1849 &         725 &              1 &  150319 &       NaN &  0.111154 \\
+395 &    1849 &         726 &              1 &  150319 &       NaN &       NaN \\
+55  &    1849 &         728 &              1 &  220319 &  0.116694 &       NaN \\
+56  &    1849 &         729 &              1 &  220319 &  0.076946 &       NaN \\
+108 &    1849 &         739 &              1 &  280219 &  0.026999 &  0.008690 \\
+109 &    1849 &         740 &              1 &  280219 &  0.171441 &       NaN \\
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+57  &    1849 &         750 &              2 &  220319 &  0.191240 &  0.130624 \\
+177 &    1849 &         752 &              2 &   60319 &  0.188841 &  0.089704 \\
+385 &    1849 &         755 &              2 &   60319 &       NaN &  0.052964 \\
+11  &    1849 &         756 &              2 &  110319 &  0.074846 &       NaN \\
+12  &    1849 &         757 &              2 &  110319 &  0.022349 &       NaN \\
+97  &    1849 &         758 &              2 &  150319 &  0.105445 &       NaN \\
+98  &    1849 &         760 &              2 &  150319 &  0.035998 &  0.025190 \\
+396 &    1849 &         761 &              2 &  150319 &       NaN &  0.029040 \\
+58  &    1849 &         763 &              2 &  220319 &  0.016949 &       NaN \\
+110 &    1849 &         769 &              2 &  280219 &  0.215089 &       NaN \\
+111 &    1849 &         770 &              2 &  280219 &  0.289186 &       NaN \\
+317 &    1849 &         773 &              2 &  280219 &       NaN &  0.178033 \\
+178 &    1849 &         783 &              3 &   60319 &  0.220039 &  0.135629 \\
+179 &    1849 &         784 &              3 &   60319 &  0.010949 &       NaN \\
+180 &    1849 &         785 &              3 &   60319 &  0.170991 &  0.104004 \\
+13  &    1849 &         787 &              3 &  110319 &  0.234138 &       NaN \\
+99  &    1849 &         790 &              3 &  150319 &  0.175191 &       NaN \\
+100 &    1849 &         791 &              3 &  150319 &  0.038398 &       NaN \\
+397 &    1849 &         793 &              3 &  150319 &       NaN &  0.073534 \\
+59  &    1849 &         798 &              3 &  220319 &  0.156742 &       NaN \\
+60  &    1849 &         799 &              3 &  220319 &  0.097495 &       NaN \\
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+459 &    1849 &         804 &              3 &  220319 &       NaN &  0.130954 \\
+460 &    1849 &         805 &              3 &  220319 &       NaN &  0.002805 \\
+112 &    1849 &         810 &              3 &  280219 &  0.176841 &       NaN \\
+113 &    1849 &         811 &              3 &  280219 &  0.111744 &       NaN \\
+114 &    1849 &         812 &              3 &  280219 &  0.065997 &       NaN \\
+115 &    1849 &         813 &              3 &  280219 &  0.063897 &  0.048235 \\
+318 &    1849 &         816 &              3 &  280219 &       NaN &  0.038995 \\
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+320 &    1849 &         818 &              3 &  280219 &       NaN &  0.106149 \\
+181 &    1849 &         822 &              4 &   60319 &  0.421929 &       NaN \\
+386 &    1849 &         824 &              4 &   60319 &       NaN &  0.074964 \\
+14  &    1849 &         825 &              4 &  110319 &  0.325034 &       NaN \\
+101 &    1849 &         832 &              4 &  150319 &  0.220339 &       NaN \\
+398 &    1849 &         835 &              4 &  150319 &       NaN &  0.012815 \\
+61  &    1849 &         840 &              4 &  220319 &  0.170991 &       NaN \\
+116 &    1849 &         843 &              4 &  280219 &  0.029549 &       NaN \\
+182 &    1849 &         854 &              5 &   60319 &  0.298335 &       NaN \\
+183 &    1849 &         855 &              5 &   60319 &  0.032848 &       NaN \\
+387 &    1849 &         856 &              5 &   60319 &       NaN &       NaN \\
+15  &    1849 &         860 &              5 &  110319 &  0.220939 &       NaN \\
+16  &    1849 &         861 &              5 &  110319 &  0.284086 &       NaN \\
+102 &    1849 &         867 &              5 &  150319 &  0.150742 &       NaN \\
+103 &    1849 &         868 &              5 &  150319 &  0.183891 &  0.090694 \\
+104 &    1849 &         869 &              5 &  150319 &  0.263087 &       NaN \\
+105 &    1849 &         870 &              5 &  150319 &  0.224239 &       NaN \\
+399 &    1849 &         873 &              5 &  150319 &       NaN &       NaN \\
+62  &    1849 &         877 &              5 &  220319 &  0.141893 &       NaN \\
+63  &    1849 &         878 &              5 &  220319 &  0.211939 &       NaN \\
+64  &    1849 &         879 &              5 &  220319 &  0.395380 &       NaN \\
+461 &    1849 &         883 &              5 &  220319 &       NaN &  0.065559 \\
+462 &    1849 &         884 &              5 &  220319 &       NaN &       NaN \\
+463 &    1849 &         885 &              5 &  220319 &       NaN &  0.090694 \\
+464 &    1849 &         886 &              5 &  220319 &       NaN &       NaN \\
+117 &    1849 &         888 &              5 &  280219 &  0.288436 &       NaN \\
+388 &    1849 &         901 &              6 &   60319 &       NaN &  0.043285 \\
+389 &    1849 &         902 &              6 &   60319 &       NaN &  0.002475 \\
+118 &    1849 &         909 &              6 &  280219 &  0.211939 &       NaN \\
+119 &    1849 &         910 &              6 &  280219 &  0.148193 &       NaN \\
+321 &    1849 &         916 &              6 &  280219 &       NaN &  0.063799 \\
+322 &    1849 &         917 &              6 &  280219 &       NaN &  0.123584 \\
+323 &    1849 &         918 &              7 &  280219 &       NaN &       NaN \\
+184 &    1849 &         924 &              7 &   60319 &  0.044848 &       NaN \\
+185 &    1849 &         925 &              7 &   60319 &  0.147293 &       NaN \\
+186 &    1849 &         926 &              7 &   60319 &  0.031048 &       NaN \\
+390 &    1849 &         929 &              7 &   60319 &       NaN &  0.080904 \\
+120 &    1849 &         934 &              7 &  280219 &  0.001800 &       NaN \\
+121 &    1849 &         935 &              7 &  280219 &  0.007200 &       NaN \\
+122 &    1849 &         936 &              7 &  280219 &  0.161992 &       NaN \\
+123 &    1849 &         937 &              7 &  280219 &  0.098995 &       NaN \\
+324 &    1849 &         940 &              7 &  280219 &       NaN &  0.023320 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_p_i_peak.csv b/actions/stimulus-response/data/statistics/values_bs_p_i_peak.csv
new file mode 100644
index 000000000..026368403
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_p_i_peak.csv
@@ -0,0 +1,443 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
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diff --git a/actions/stimulus-response/data/statistics/values_bs_p_i_peak.tex b/actions/stimulus-response/data/statistics/values_bs_p_i_peak.tex
new file mode 100644
index 000000000..45ad941b5
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_p_i_peak.tex
@@ -0,0 +1,448 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+325 &    1833 &           0 &              0 &   20719 &       NaN &  0.007315 \\
+268 &    1833 &           1 &              0 &   10719 &       NaN &       NaN \\
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+159 &    1833 &         233 &              6 &  120619 &       NaN &       NaN \\
+149 &    1833 &         234 &              6 &   50619 &  0.002550 &       NaN \\
+150 &    1833 &         235 &              6 &   50619 &  0.013499 &       NaN \\
+151 &    1833 &         236 &              6 &   50619 &       NaN &       NaN \\
+424 &    1833 &         240 &              6 &  120619 &       NaN &       NaN \\
+453 &    1833 &         241 &              6 &   60619 &       NaN &       NaN \\
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+63  &    1849 &         878 &              5 &  220319 &       NaN &       NaN \\
+64  &    1849 &         879 &              5 &  220319 &       NaN &       NaN \\
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+464 &    1849 &         886 &              5 &  220319 &       NaN &       NaN \\
+117 &    1849 &         888 &              5 &  280219 &  0.029849 &       NaN \\
+388 &    1849 &         901 &              6 &   60319 &       NaN &  0.004840 \\
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+118 &    1849 &         909 &              6 &  280219 &       NaN &       NaN \\
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+321 &    1849 &         916 &              6 &  280219 &       NaN &  0.007150 \\
+322 &    1849 &         917 &              6 &  280219 &       NaN &  0.006490 \\
+323 &    1849 &         918 &              7 &  280219 &       NaN &       NaN \\
+184 &    1849 &         924 &              7 &   60319 &       NaN &       NaN \\
+185 &    1849 &         925 &              7 &   60319 &       NaN &       NaN \\
+186 &    1849 &         926 &              7 &   60319 &       NaN &       NaN \\
+390 &    1849 &         929 &              7 &   60319 &       NaN &  0.021285 \\
+120 &    1849 &         934 &              7 &  280219 &       NaN &       NaN \\
+121 &    1849 &         935 &              7 &  280219 &       NaN &       NaN \\
+122 &    1849 &         936 &              7 &  280219 &       NaN &       NaN \\
+123 &    1849 &         937 &              7 &  280219 &       NaN &       NaN \\
+324 &    1849 &         940 &              7 &  280219 &       NaN &  0.004180 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_t_e_peak.csv b/actions/stimulus-response/data/statistics/values_bs_t_e_peak.csv
new file mode 100644
index 000000000..c9ef8fc13
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_t_e_peak.csv
@@ -0,0 +1,443 @@
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+9,1849,718,1,110319,0.0084,
+93,1849,720,1,150319,0.0076,
+94,1849,721,1,150319,0.0073,
+95,1849,722,1,150319,0.0076,
+107,1849,724,1,280219,0.0071,0.0085
+394,1849,725,1,150319,,0.0092
+395,1849,726,1,150319,,
+55,1849,728,1,220319,0.0087,
+56,1849,729,1,220319,0.0083,
+108,1849,739,1,280219,0.0076,0.0081
+109,1849,740,1,280219,0.008,
+315,1849,743,1,280219,,0.0089
+316,1849,744,1,280219,,0.0084
+57,1849,750,2,220319,0.0086,0.0096
+177,1849,752,2,60319,0.0088,0.0096
+385,1849,755,2,60319,,0.0092
+11,1849,756,2,110319,0.0093,
+12,1849,757,2,110319,0.0084,
+97,1849,758,2,150319,0.0082,
+98,1849,760,2,150319,0.0074,0.0096
+396,1849,761,2,150319,,0.0099
+58,1849,763,2,220319,0.0094,
+110,1849,769,2,280219,0.0081,
+111,1849,770,2,280219,0.0087,
+317,1849,773,2,280219,,0.009000000000000001
+178,1849,783,3,60319,0.008,0.0093
+179,1849,784,3,60319,0.0079,
+180,1849,785,3,60319,0.009000000000000001,0.0095
+13,1849,787,3,110319,0.0088,
+99,1849,790,3,150319,0.0084,
+100,1849,791,3,150319,0.0086,
+397,1849,793,3,150319,,0.0097
+59,1849,798,3,220319,0.0085,
+60,1849,799,3,220319,0.008,
+458,1849,803,3,220319,,0.0097
+459,1849,804,3,220319,,0.0094
+460,1849,805,3,220319,,0.0097
+112,1849,810,3,280219,0.0081,
+113,1849,811,3,280219,0.0082,
+114,1849,812,3,280219,0.0073,
+115,1849,813,3,280219,0.0073,0.009000000000000001
+318,1849,816,3,280219,,0.0088
+319,1849,817,3,280219,,0.0088
+320,1849,818,3,280219,,0.009000000000000001
+181,1849,822,4,60319,0.0098,
+386,1849,824,4,60319,,0.0111
+14,1849,825,4,110319,0.0096,
+101,1849,832,4,150319,0.0096,
+398,1849,835,4,150319,,0.0111
+61,1849,840,4,220319,0.009000000000000001,
+116,1849,843,4,280219,0.0097,
+182,1849,854,5,60319,0.0099,
+183,1849,855,5,60319,0.0087,
+387,1849,856,5,60319,,
+15,1849,860,5,110319,0.01,
+16,1849,861,5,110319,0.01,
+102,1849,867,5,150319,0.0095,
+103,1849,868,5,150319,0.0079,0.0138
+104,1849,869,5,150319,0.0098,
+105,1849,870,5,150319,0.0099,
+399,1849,873,5,150319,,
+62,1849,877,5,220319,0.0085,
+63,1849,878,5,220319,0.0095,
+64,1849,879,5,220319,0.0099,
+461,1849,883,5,220319,,0.0133
+462,1849,884,5,220319,,
+463,1849,885,5,220319,,0.011000000000000001
+464,1849,886,5,220319,,
+117,1849,888,5,280219,0.0097,
+388,1849,901,6,60319,,0.0271
+389,1849,902,6,60319,,0.0257
+118,1849,909,6,280219,0.0055,
+119,1849,910,6,280219,0.0054,
+321,1849,916,6,280219,,0.0271
+322,1849,917,6,280219,,0.0267
+323,1849,918,7,280219,,
+184,1849,924,7,60319,0.0093,
+185,1849,925,7,60319,0.0093,
+186,1849,926,7,60319,0.0056,
+390,1849,929,7,60319,,0.0275
+120,1849,934,7,280219,0.006,
+121,1849,935,7,280219,0.0093,
+122,1849,936,7,280219,0.0092,
+123,1849,937,7,280219,0.0089,
+324,1849,940,7,280219,,0.0102
diff --git a/actions/stimulus-response/data/statistics/values_bs_t_e_peak.tex b/actions/stimulus-response/data/statistics/values_bs_t_e_peak.tex
new file mode 100644
index 000000000..cdfb4ee8b
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_t_e_peak.tex
@@ -0,0 +1,448 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+325 &    1833 &           0 &              0 &   20719 &     NaN &  0.0089 \\
+268 &    1833 &           1 &              0 &   10719 &  0.0080 &     NaN \\
+269 &    1833 &           3 &              0 &   10719 &  0.0265 &     NaN \\
+270 &    1833 &           4 &              0 &   10719 &  0.0070 &     NaN \\
+271 &    1833 &           6 &              0 &   10719 &  0.0072 &     NaN \\
+272 &    1833 &           7 &              0 &   10719 &  0.0076 &     NaN \\
+204 &    1833 &          10 &              0 &   20719 &  0.0077 &  0.0081 \\
+205 &    1833 &          12 &              0 &   20719 &  0.0075 &     NaN \\
+206 &    1833 &          13 &              0 &   20719 &  0.0254 &  0.0077 \\
+207 &    1833 &          14 &              0 &   20719 &  0.0077 &     NaN \\
+326 &    1833 &          18 &              0 &   20719 &     NaN &  0.0090 \\
+444 &    1833 &          20 &              0 &   60619 &     NaN &  0.0074 \\
+153 &    1833 &          21 &              0 &  120619 &  0.0052 &     NaN \\
+222 &    1833 &          24 &              0 &  200619 &  0.0073 &     NaN \\
+362 &    1833 &          26 &              0 &  200619 &     NaN &  0.0079 \\
+363 &    1833 &          28 &              0 &  200619 &     NaN &  0.0243 \\
+364 &    1833 &          29 &              0 &  200619 &     NaN &  0.0090 \\
+42  &    1833 &          32 &              0 &  260619 &  0.0078 &  0.0090 \\
+43  &    1833 &          35 &              0 &  260619 &  0.0078 &  0.0092 \\
+235 &    1833 &          41 &              0 &  290519 &  0.0065 &     NaN \\
+273 &    1833 &          47 &              1 &   10719 &  0.0080 &     NaN \\
+208 &    1833 &          50 &              1 &   20719 &  0.0079 &     NaN \\
+209 &    1833 &          51 &              1 &   20719 &  0.0080 &     NaN \\
+276 &    1833 &          53 &              1 &   10719 &  0.0083 &     NaN \\
+277 &    1833 &          54 &              1 &   10719 &  0.0087 &     NaN \\
+278 &    1833 &          55 &              1 &   10719 &  0.0069 &     NaN \\
+210 &    1833 &          58 &              1 &   20719 &  0.0077 &     NaN \\
+211 &    1833 &          59 &              1 &   20719 &  0.0081 &     NaN \\
+327 &    1833 &          61 &              1 &   20719 &     NaN &  0.0091 \\
+328 &    1833 &          62 &              1 &   20719 &     NaN &  0.0098 \\
+329 &    1833 &          63 &              1 &   20719 &     NaN &  0.0095 \\
+445 &    1833 &          70 &              1 &   60619 &     NaN &  0.0100 \\
+223 &    1833 &          75 &              1 &  200619 &  0.0091 &     NaN \\
+366 &    1833 &          76 &              1 &  200619 &     NaN &  0.0096 \\
+44  &    1833 &          79 &              1 &  260619 &  0.0076 &     NaN \\
+45  &    1833 &          80 &              1 &  260619 &  0.0067 &     NaN \\
+409 &    1833 &          82 &              1 &  260619 &     NaN &  0.0094 \\
+410 &    1833 &          85 &              1 &  260619 &     NaN &  0.0094 \\
+411 &    1833 &          86 &              1 &  260619 &     NaN &  0.0096 \\
+236 &    1833 &          90 &              1 &  290519 &  0.0066 &     NaN \\
+237 &    1833 &          91 &              1 &  290519 &  0.0081 &     NaN \\
+238 &    1833 &          92 &              1 &  290519 &  0.0081 &     NaN \\
+429 &    1833 &          95 &              1 &  290519 &     NaN &  0.0266 \\
+279 &    1833 &          96 &              2 &   10719 &  0.0080 &     NaN \\
+280 &    1833 &          98 &              2 &   10719 &  0.0078 &     NaN \\
+212 &    1833 &         100 &              2 &   20719 &  0.0074 &     NaN \\
+213 &    1833 &         101 &              2 &   20719 &  0.0121 &     NaN \\
+214 &    1833 &         102 &              2 &   20719 &     NaN &     NaN \\
+330 &    1833 &         105 &              2 &   20719 &     NaN &  0.0093 \\
+143 &    1833 &         106 &              2 &   50619 &  0.0079 &     NaN \\
+154 &    1833 &         110 &              2 &  120619 &  0.0075 &     NaN \\
+46  &    1833 &         114 &              2 &  260619 &  0.0078 &     NaN \\
+239 &    1833 &         115 &              2 &  290519 &  0.0077 &     NaN \\
+240 &    1833 &         116 &              2 &  290519 &  0.0069 &     NaN \\
+241 &    1833 &         117 &              2 &  290519 &  0.0068 &     NaN \\
+281 &    1833 &         121 &              3 &   10719 &  0.0067 &     NaN \\
+282 &    1833 &         122 &              3 &   10719 &  0.0076 &     NaN \\
+283 &    1833 &         123 &              3 &   10719 &  0.0088 &     NaN \\
+284 &    1833 &         124 &              3 &   10719 &  0.0237 &     NaN \\
+285 &    1833 &         125 &              3 &   10719 &  0.0074 &     NaN \\
+286 &    1833 &         126 &              3 &   10719 &  0.0115 &     NaN \\
+287 &    1833 &         127 &              3 &   10719 &  0.0076 &     NaN \\
+288 &    1833 &         128 &              3 &   10719 &  0.0071 &     NaN \\
+215 &    1833 &         130 &              3 &   20719 &  0.0075 &     NaN \\
+216 &    1833 &         133 &              3 &   20719 &  0.0072 &     NaN \\
+217 &    1833 &         134 &              3 &   20719 &  0.0080 &     NaN \\
+218 &    1833 &         135 &              3 &   20719 &  0.0072 &     NaN \\
+331 &    1833 &         138 &              3 &   20719 &     NaN &  0.0089 \\
+332 &    1833 &         139 &              3 &   20719 &     NaN &  0.0085 \\
+333 &    1833 &         140 &              3 &   20719 &     NaN &  0.0086 \\
+155 &    1833 &         144 &              3 &  120619 &  0.0087 &     NaN \\
+224 &    1833 &         148 &              3 &  200619 &  0.0086 &     NaN \\
+367 &    1833 &         149 &              3 &  200619 &     NaN &  0.0079 \\
+47  &    1833 &         150 &              3 &  260619 &  0.0067 &     NaN \\
+412 &    1833 &         152 &              3 &  260619 &     NaN &  0.0076 \\
+413 &    1833 &         153 &              3 &  260619 &     NaN &  0.0093 \\
+242 &    1833 &         158 &              3 &  290519 &  0.0078 &     NaN \\
+243 &    1833 &         159 &              3 &  290519 &  0.0089 &     NaN \\
+289 &    1833 &         162 &              4 &   10719 &     NaN &     NaN \\
+156 &    1833 &         168 &              4 &  120619 &  0.0068 &  0.0083 \\
+145 &    1833 &         169 &              4 &   50619 &  0.0070 &     NaN \\
+157 &    1833 &         171 &              4 &  120619 &  0.0086 &     NaN \\
+225 &    1833 &         175 &              4 &  200619 &  0.0069 &     NaN \\
+368 &    1833 &         177 &              4 &  200619 &     NaN &     NaN \\
+290 &    1833 &         189 &              5 &   10719 &  0.0091 &     NaN \\
+219 &    1833 &         191 &              5 &   20719 &  0.0093 &     NaN \\
+220 &    1833 &         192 &              5 &   20719 &  0.0072 &     NaN \\
+334 &    1833 &         194 &              5 &   20719 &     NaN &  0.0103 \\
+335 &    1833 &         195 &              5 &   20719 &     NaN &  0.0093 \\
+448 &    1833 &         197 &              5 &   60619 &     NaN &  0.0096 \\
+449 &    1833 &         199 &              5 &   60619 &     NaN &  0.0092 \\
+158 &    1833 &         202 &              5 &  120619 &  0.0086 &     NaN \\
+48  &    1833 &         206 &              5 &  260619 &  0.0074 &     NaN \\
+414 &    1833 &         210 &              5 &  260619 &     NaN &  0.0099 \\
+430 &    1833 &         216 &              5 &  290519 &     NaN &  0.0257 \\
+431 &    1833 &         218 &              5 &  290519 &     NaN &  0.0260 \\
+291 &    1833 &         223 &              6 &   10719 &  0.0073 &     NaN \\
+221 &    1833 &         225 &              6 &   20719 &  0.0095 &     NaN \\
+336 &    1833 &         227 &              6 &   20719 &     NaN &  0.0100 \\
+337 &    1833 &         228 &              6 &   20719 &     NaN &  0.0093 \\
+146 &    1833 &         230 &              6 &   50619 &  0.0075 &     NaN \\
+147 &    1833 &         231 &              6 &   50619 &  0.0070 &     NaN \\
+148 &    1833 &         232 &              6 &   50619 &  0.0068 &     NaN \\
+159 &    1833 &         233 &              6 &  120619 &  0.0067 &     NaN \\
+149 &    1833 &         234 &              6 &   50619 &  0.0069 &     NaN \\
+150 &    1833 &         235 &              6 &   50619 &  0.0078 &     NaN \\
+151 &    1833 &         236 &              6 &   50619 &  0.0094 &     NaN \\
+424 &    1833 &         240 &              6 &  120619 &     NaN &  0.0084 \\
+453 &    1833 &         241 &              6 &   60619 &     NaN &  0.0090 \\
+454 &    1833 &         242 &              6 &   60619 &     NaN &  0.0091 \\
+49  &    1833 &         243 &              6 &  260619 &  0.0063 &     NaN \\
+160 &    1833 &         244 &              6 &  120619 &  0.0064 &     NaN \\
+425 &    1833 &         247 &              6 &  120619 &     NaN &  0.0085 \\
+426 &    1833 &         248 &              6 &  120619 &     NaN &  0.0087 \\
+427 &    1833 &         249 &              6 &  120619 &     NaN &  0.0086 \\
+227 &    1833 &         253 &              6 &  200619 &  0.0066 &  0.0091 \\
+228 &    1833 &         254 &              6 &  200619 &  0.0068 &     NaN \\
+229 &    1833 &         255 &              6 &  200619 &  0.0094 &     NaN \\
+230 &    1833 &         256 &              6 &  200619 &  0.0067 &     NaN \\
+231 &    1833 &         257 &              6 &  200619 &  0.0068 &     NaN \\
+369 &    1833 &         259 &              6 &  200619 &     NaN &  0.0093 \\
+370 &    1833 &         260 &              6 &  200619 &     NaN &  0.0091 \\
+371 &    1833 &         261 &              6 &  200619 &     NaN &  0.0098 \\
+372 &    1833 &         262 &              6 &  200619 &     NaN &  0.0088 \\
+415 &    1833 &         263 &              6 &  260619 &     NaN &  0.0089 \\
+50  &    1833 &         266 &              6 &  260619 &  0.0069 &     NaN \\
+51  &    1833 &         267 &              6 &  260619 &  0.0065 &     NaN \\
+52  &    1833 &         268 &              6 &  260619 &  0.0067 &     NaN \\
+53  &    1833 &         269 &              6 &  260619 &  0.0067 &     NaN \\
+416 &    1833 &         271 &              6 &  260619 &     NaN &  0.0087 \\
+417 &    1833 &         272 &              6 &  260619 &     NaN &  0.0102 \\
+418 &    1833 &         273 &              6 &  260619 &     NaN &  0.0092 \\
+419 &    1833 &         274 &              6 &  260619 &     NaN &  0.0090 \\
+420 &    1833 &         275 &              6 &  260619 &     NaN &  0.0094 \\
+244 &    1833 &         283 &              6 &  290519 &  0.0090 &     NaN \\
+433 &    1833 &         290 &              6 &  290519 &     NaN &  0.0262 \\
+434 &    1833 &         291 &              6 &  290519 &     NaN &  0.0251 \\
+435 &    1833 &         292 &              6 &  290519 &     NaN &  0.0267 \\
+292 &    1833 &         294 &              7 &   10719 &  0.0088 &     NaN \\
+293 &    1833 &         296 &              7 &   10719 &  0.0089 &     NaN \\
+294 &    1833 &         297 &              7 &   10719 &  0.0090 &     NaN \\
+152 &    1833 &         298 &              7 &   50619 &  0.0079 &     NaN \\
+455 &    1833 &         300 &              7 &   60619 &     NaN &  0.0090 \\
+161 &    1833 &         301 &              7 &  120619 &  0.0078 &     NaN \\
+428 &    1833 &         303 &              7 &  120619 &     NaN &  0.0088 \\
+232 &    1833 &         304 &              7 &  200619 &  0.0082 &  0.0092 \\
+233 &    1833 &         305 &              7 &  200619 &  0.0091 &     NaN \\
+234 &    1833 &         306 &              7 &  200619 &     NaN &     NaN \\
+421 &    1833 &         311 &              7 &  260619 &     NaN &  0.0093 \\
+436 &    1833 &         323 &              7 &  290519 &     NaN &  0.0264 \\
+437 &    1833 &         325 &              7 &  290519 &     NaN &  0.0259 \\
+438 &    1833 &         326 &              7 &  290519 &     NaN &  0.0264 \\
+124 &    1834 &         329 &              0 &   10319 &  0.0081 &     NaN \\
+125 &    1834 &         330 &              0 &   10319 &  0.0095 &     NaN \\
+187 &    1834 &         332 &              0 &  110319 &  0.0089 &     NaN \\
+188 &    1834 &         341 &              0 &  110319 &  0.0094 &     NaN \\
+31  &    1834 &         343 &              0 &  120319 &  0.0094 &  0.0125 \\
+17  &    1834 &         345 &              0 &  220319 &  0.0092 &  0.0130 \\
+126 &    1834 &         348 &              1 &   10319 &  0.0101 &     NaN \\
+162 &    1834 &         350 &              1 &   60319 &  0.0079 &     NaN \\
+32  &    1834 &         352 &              1 &  120319 &  0.0104 &     NaN \\
+163 &    1834 &         353 &              2 &   60319 &  0.0091 &     NaN \\
+33  &    1834 &         354 &              2 &  120319 &  0.0092 &     NaN \\
+34  &    1834 &         355 &              2 &  120319 &  0.0105 &     NaN \\
+18  &    1834 &         357 &              2 &  220319 &  0.0090 &     NaN \\
+19  &    1834 &         358 &              2 &  220319 &  0.0090 &     NaN \\
+351 &    1834 &         360 &              2 &  220319 &     NaN &  0.0125 \\
+127 &    1834 &         361 &              3 &   10319 &  0.0097 &     NaN \\
+128 &    1834 &         364 &              3 &   10319 &  0.0096 &     NaN \\
+373 &    1834 &         367 &              3 &   10319 &     NaN &  0.0134 \\
+374 &    1834 &         368 &              3 &   10319 &     NaN &  0.0129 \\
+164 &    1834 &         371 &              3 &   60319 &  0.0098 &  0.0119 \\
+165 &    1834 &         372 &              3 &   60319 &  0.0095 &     NaN \\
+401 &    1834 &         373 &              3 &   60319 &     NaN &  0.0221 \\
+189 &    1834 &         374 &              3 &  110319 &  0.0092 &     NaN \\
+35  &    1834 &         376 &              3 &  120319 &  0.0093 &     NaN \\
+36  &    1834 &         377 &              3 &  120319 &  0.0093 &     NaN \\
+309 &    1834 &         378 &              3 &  120319 &     NaN &  0.0133 \\
+66  &    1834 &         380 &              3 &  150319 &  0.0094 &     NaN \\
+67  &    1834 &         381 &              3 &  150319 &  0.0091 &  0.0135 \\
+338 &    1834 &         383 &              3 &  150319 &     NaN &  0.0133 \\
+20  &    1834 &         384 &              3 &  220319 &  0.0090 &  0.0131 \\
+129 &    1834 &         387 &              4 &   10319 &  0.0088 &     NaN \\
+130 &    1834 &         388 &              4 &   10319 &  0.0080 &     NaN \\
+131 &    1834 &         389 &              4 &   10319 &  0.0088 &     NaN \\
+132 &    1834 &         390 &              4 &   10319 &  0.0085 &     NaN \\
+21  &    1834 &         402 &              4 &  220319 &  0.0083 &     NaN \\
+352 &    1834 &         404 &              4 &  220319 &     NaN &  0.0103 \\
+353 &    1834 &         405 &              4 &  220319 &     NaN &  0.0148 \\
+354 &    1834 &         406 &              4 &  220319 &     NaN &  0.0133 \\
+355 &    1834 &         407 &              4 &  220319 &     NaN &  0.0107 \\
+133 &    1834 &         410 &              5 &   10319 &  0.0101 &     NaN \\
+134 &    1834 &         411 &              5 &   10319 &  0.0073 &     NaN \\
+375 &    1834 &         413 &              5 &   10319 &     NaN &  0.0103 \\
+376 &    1834 &         414 &              5 &   10319 &     NaN &  0.0094 \\
+166 &    1834 &         416 &              5 &   60319 &  0.0103 &     NaN \\
+167 &    1834 &         417 &              5 &   60319 &  0.0080 &     NaN \\
+402 &    1834 &         420 &              5 &   60319 &     NaN &  0.0089 \\
+403 &    1834 &         421 &              5 &   60319 &     NaN &  0.0090 \\
+190 &    1834 &         423 &              5 &  110319 &  0.0079 &     NaN \\
+191 &    1834 &         424 &              5 &  110319 &  0.0082 &     NaN \\
+192 &    1834 &         425 &              5 &  110319 &  0.0069 &     NaN \\
+37  &    1834 &         428 &              5 &  120319 &  0.0102 &  0.0137 \\
+310 &    1834 &         430 &              5 &  120319 &     NaN &  0.0137 \\
+311 &    1834 &         431 &              5 &  120319 &     NaN &  0.0104 \\
+68  &    1834 &         436 &              5 &  150319 &  0.0081 &     NaN \\
+339 &    1834 &         437 &              5 &  150319 &     NaN &  0.0133 \\
+340 &    1834 &         439 &              5 &  150319 &     NaN &  0.0136 \\
+341 &    1834 &         440 &              5 &  150319 &     NaN &  0.0110 \\
+342 &    1834 &         441 &              5 &  150319 &     NaN &  0.0114 \\
+343 &    1834 &         442 &              5 &  150319 &     NaN &  0.0121 \\
+344 &    1834 &         443 &              5 &  150319 &     NaN &  0.0118 \\
+135 &    1834 &         446 &              6 &   10319 &  0.0082 &     NaN \\
+136 &    1834 &         447 &              6 &   10319 &  0.0087 &     NaN \\
+137 &    1834 &         448 &              6 &   10319 &  0.0077 &     NaN \\
+377 &    1834 &         449 &              6 &   10319 &     NaN &  0.0093 \\
+378 &    1834 &         450 &              6 &   10319 &     NaN &  0.0087 \\
+379 &    1834 &         451 &              6 &   10319 &     NaN &  0.0093 \\
+168 &    1834 &         452 &              6 &   60319 &  0.0084 &     NaN \\
+169 &    1834 &         453 &              6 &   60319 &  0.0085 &     NaN \\
+170 &    1834 &         454 &              6 &   60319 &  0.0084 &     NaN \\
+171 &    1834 &         455 &              6 &   60319 &  0.0084 &  0.0085 \\
+404 &    1834 &         457 &              6 &   60319 &     NaN &  0.0092 \\
+405 &    1834 &         458 &              6 &   60319 &     NaN &  0.0092 \\
+193 &    1834 &         461 &              6 &  110319 &  0.0080 &     NaN \\
+194 &    1834 &         462 &              6 &  110319 &  0.0083 &     NaN \\
+195 &    1834 &         464 &              6 &  110319 &  0.0086 &     NaN \\
+196 &    1834 &         465 &              6 &  110319 &  0.0087 &     NaN \\
+38  &    1834 &         472 &              6 &  120319 &  0.0085 &  0.0085 \\
+69  &    1834 &         473 &              6 &  150319 &  0.0082 &  0.0083 \\
+70  &    1834 &         474 &              6 &  150319 &  0.0088 &     NaN \\
+345 &    1834 &         477 &              6 &  150319 &     NaN &  0.0087 \\
+22  &    1834 &         482 &              6 &  220319 &  0.0083 &     NaN \\
+23  &    1834 &         483 &              6 &  220319 &  0.0090 &     NaN \\
+24  &    1834 &         484 &              6 &  220319 &  0.0075 &     NaN \\
+25  &    1834 &         485 &              6 &  220319 &  0.0080 &     NaN \\
+26  &    1834 &         486 &              6 &  220319 &  0.0076 &     NaN \\
+356 &    1834 &         487 &              6 &  220319 &     NaN &  0.0089 \\
+357 &    1834 &         488 &              6 &  220319 &     NaN &  0.0094 \\
+358 &    1834 &         489 &              6 &  220319 &     NaN &  0.0090 \\
+138 &    1834 &         492 &              7 &   10319 &  0.0085 &     NaN \\
+139 &    1834 &         493 &              7 &   10319 &  0.0078 &     NaN \\
+140 &    1834 &         494 &              7 &   10319 &  0.0073 &     NaN \\
+141 &    1834 &         495 &              7 &   10319 &  0.0084 &     NaN \\
+142 &    1834 &         496 &              7 &   10319 &  0.0092 &     NaN \\
+380 &    1834 &         497 &              7 &   10319 &     NaN &  0.0095 \\
+381 &    1834 &         499 &              7 &   10319 &     NaN &  0.0086 \\
+382 &    1834 &         500 &              7 &   10319 &     NaN &  0.0079 \\
+383 &    1834 &         501 &              7 &   10319 &     NaN &  0.0082 \\
+172 &    1834 &         504 &              7 &   60319 &  0.0079 &     NaN \\
+173 &    1834 &         505 &              7 &   60319 &  0.0081 &     NaN \\
+174 &    1834 &         506 &              7 &   60319 &  0.0085 &  0.0085 \\
+175 &    1834 &         507 &              7 &   60319 &  0.0091 &  0.0094 \\
+176 &    1834 &         508 &              7 &   60319 &  0.0090 &  0.0093 \\
+406 &    1834 &         510 &              7 &   60319 &     NaN &  0.0086 \\
+407 &    1834 &         511 &              7 &   60319 &     NaN &  0.0094 \\
+197 &    1834 &         512 &              7 &  110319 &  0.0090 &     NaN \\
+198 &    1834 &         514 &              7 &  110319 &  0.0084 &     NaN \\
+199 &    1834 &         516 &              7 &  110319 &  0.0062 &     NaN \\
+200 &    1834 &         517 &              7 &  110319 &  0.0070 &     NaN \\
+201 &    1834 &         518 &              7 &  110319 &  0.0083 &     NaN \\
+202 &    1834 &         519 &              7 &  110319 &  0.0091 &     NaN \\
+203 &    1834 &         520 &              7 &  110319 &  0.0072 &     NaN \\
+39  &    1834 &         527 &              7 &  120319 &  0.0072 &  0.0095 \\
+40  &    1834 &         529 &              7 &  120319 &  0.0130 &  0.0119 \\
+41  &    1834 &         530 &              7 &  120319 &  0.0091 &     NaN \\
+71  &    1834 &         537 &              7 &  150319 &  0.0074 &     NaN \\
+72  &    1834 &         538 &              7 &  150319 &  0.0074 &     NaN \\
+73  &    1834 &         539 &              7 &  150319 &  0.0081 &     NaN \\
+74  &    1834 &         540 &              7 &  150319 &  0.0088 &     NaN \\
+75  &    1834 &         541 &              7 &  150319 &  0.0083 &     NaN \\
+76  &    1834 &         542 &              7 &  150319 &  0.0090 &     NaN \\
+346 &    1834 &         550 &              7 &  150319 &     NaN &  0.0100 \\
+347 &    1834 &         551 &              7 &  150319 &     NaN &  0.0093 \\
+348 &    1834 &         552 &              7 &  150319 &     NaN &  0.0093 \\
+349 &    1834 &         553 &              7 &  150319 &     NaN &  0.0099 \\
+350 &    1834 &         554 &              7 &  150319 &     NaN &  0.0100 \\
+27  &    1834 &         560 &              7 &  220319 &  0.0103 &     NaN \\
+28  &    1834 &         561 &              7 &  220319 &  0.0082 &  0.0100 \\
+29  &    1834 &         562 &              7 &  220319 &  0.0088 &     NaN \\
+30  &    1834 &         563 &              7 &  220319 &  0.0076 &     NaN \\
+359 &    1834 &         566 &              7 &  220319 &     NaN &  0.0115 \\
+360 &    1834 &         567 &              7 &  220319 &     NaN &  0.0101 \\
+361 &    1834 &         568 &              7 &  220319 &     NaN &  0.0141 \\
+245 &    1839 &         569 &              0 &  120619 &  0.0077 &     NaN \\
+77  &    1839 &         574 &              0 &  290519 &  0.0261 &     NaN \\
+295 &    1839 &         576 &              1 &  120619 &     NaN &  0.0217 \\
+254 &    1839 &         579 &              1 &  200619 &  0.0004 &     NaN \\
+296 &    1839 &         583 &              3 &  120619 &     NaN &  0.0232 \\
+255 &    1839 &         585 &              3 &  200619 &  0.0087 &     NaN \\
+0   &    1839 &         587 &              4 &   60619 &  0.0091 &     NaN \\
+439 &    1839 &         589 &              4 &   60619 &     NaN &  0.0095 \\
+246 &    1839 &         590 &              4 &  120619 &  0.0086 &     NaN \\
+297 &    1839 &         593 &              4 &  120619 &     NaN &  0.0079 \\
+298 &    1839 &         594 &              4 &  120619 &     NaN &  0.0093 \\
+299 &    1839 &         595 &              4 &  120619 &     NaN &  0.0083 \\
+300 &    1839 &         596 &              4 &  120619 &     NaN &  0.0082 \\
+256 &    1839 &         598 &              4 &  200619 &  0.0085 &     NaN \\
+257 &    1839 &         599 &              4 &  200619 &  0.0090 &     NaN \\
+258 &    1839 &         600 &              4 &  200619 &  0.0088 &     NaN \\
+78  &    1839 &         602 &              4 &  290519 &  0.0089 &     NaN \\
+79  &    1839 &         603 &              4 &  290519 &  0.0091 &     NaN \\
+1   &    1839 &         606 &              5 &   60619 &  0.0071 &  0.0080 \\
+440 &    1839 &         608 &              5 &   60619 &     NaN &  0.0083 \\
+247 &    1839 &         610 &              5 &  120619 &  0.0074 &     NaN \\
+248 &    1839 &         611 &              5 &  120619 &  0.0069 &     NaN \\
+259 &    1839 &         614 &              5 &  200619 &  0.0065 &     NaN \\
+80  &    1839 &         617 &              5 &  290519 &  0.0073 &     NaN \\
+81  &    1839 &         618 &              5 &  290519 &  0.0256 &     NaN \\
+82  &    1839 &         619 &              5 &  290519 &  0.0064 &     NaN \\
+83  &    1839 &         620 &              5 &  290519 &  0.0077 &     NaN \\
+2   &    1839 &         623 &              6 &   60619 &  0.0088 &     NaN \\
+441 &    1839 &         626 &              6 &   60619 &     NaN &  0.0094 \\
+442 &    1839 &         627 &              6 &   60619 &     NaN &  0.0089 \\
+249 &    1839 &         629 &              6 &  120619 &  0.0072 &  0.0080 \\
+250 &    1839 &         630 &              6 &  120619 &  0.0077 &     NaN \\
+251 &    1839 &         631 &              6 &  120619 &  0.0082 &     NaN \\
+301 &    1839 &         636 &              6 &  120619 &     NaN &  0.0080 \\
+302 &    1839 &         637 &              6 &  120619 &     NaN &  0.0076 \\
+303 &    1839 &         638 &              6 &  120619 &     NaN &  0.0083 \\
+304 &    1839 &         639 &              6 &  120619 &     NaN &  0.0075 \\
+305 &    1839 &         640 &              6 &  120619 &     NaN &  0.0089 \\
+260 &    1839 &         643 &              6 &  200619 &  0.0056 &     NaN \\
+261 &    1839 &         645 &              6 &  200619 &  0.0060 &     NaN \\
+262 &    1839 &         647 &              6 &  200619 &  0.0074 &     NaN \\
+263 &    1839 &         648 &              6 &  200619 &  0.0085 &     NaN \\
+264 &    1839 &         650 &              6 &  200619 &  0.0084 &     NaN \\
+84  &    1839 &         653 &              6 &  290519 &  0.0091 &     NaN \\
+85  &    1839 &         654 &              6 &  290519 &  0.0078 &     NaN \\
+3   &    1839 &         655 &              7 &   60619 &  0.0077 &  0.0082 \\
+253 &    1839 &         656 &              7 &  120619 &  0.0065 &     NaN \\
+86  &    1839 &         657 &              7 &  290519 &  0.0078 &     NaN \\
+306 &    1839 &         659 &              7 &  120619 &     NaN &  0.0079 \\
+307 &    1839 &         660 &              7 &  120619 &     NaN &  0.0076 \\
+265 &    1839 &         662 &              7 &  200619 &  0.0067 &     NaN \\
+266 &    1839 &         663 &              7 &  200619 &  0.0067 &     NaN \\
+267 &    1839 &         664 &              7 &  200619 &  0.0090 &     NaN \\
+87  &    1839 &         669 &              7 &  290519 &  0.0083 &     NaN \\
+88  &    1839 &         670 &              7 &  290519 &  0.0069 &     NaN \\
+89  &    1839 &         671 &              7 &  290519 &  0.0077 &     NaN \\
+90  &    1839 &         672 &              7 &  290519 &  0.0073 &     NaN \\
+4   &    1849 &         676 &              0 &  110319 &  0.0098 &     NaN \\
+91  &    1849 &         677 &              0 &  150319 &  0.0088 &  0.0101 \\
+92  &    1849 &         679 &              0 &  150319 &  0.0093 &     NaN \\
+391 &    1849 &         681 &              0 &  150319 &     NaN &  0.0102 \\
+392 &    1849 &         682 &              0 &  150319 &     NaN &  0.0105 \\
+456 &    1849 &         683 &              0 &  220319 &     NaN &  0.0103 \\
+54  &    1849 &         684 &              0 &  220319 &  0.0090 &     NaN \\
+106 &    1849 &         686 &              0 &  280219 &  0.0095 &     NaN \\
+312 &    1849 &         689 &              0 &  280219 &     NaN &  0.0102 \\
+313 &    1849 &         690 &              0 &  280219 &     NaN &  0.0104 \\
+457 &    1849 &         691 &              1 &  220319 &     NaN &  0.0090 \\
+384 &    1849 &         708 &              1 &   60319 &     NaN &  0.0156 \\
+5   &    1849 &         714 &              1 &  110319 &  0.0080 &     NaN \\
+6   &    1849 &         715 &              1 &  110319 &  0.0135 &     NaN \\
+7   &    1849 &         716 &              1 &  110319 &  0.0088 &     NaN \\
+8   &    1849 &         717 &              1 &  110319 &  0.0080 &     NaN \\
+9   &    1849 &         718 &              1 &  110319 &  0.0084 &     NaN \\
+93  &    1849 &         720 &              1 &  150319 &  0.0076 &     NaN \\
+94  &    1849 &         721 &              1 &  150319 &  0.0073 &     NaN \\
+95  &    1849 &         722 &              1 &  150319 &  0.0076 &     NaN \\
+107 &    1849 &         724 &              1 &  280219 &  0.0071 &  0.0085 \\
+394 &    1849 &         725 &              1 &  150319 &     NaN &  0.0092 \\
+395 &    1849 &         726 &              1 &  150319 &     NaN &     NaN \\
+55  &    1849 &         728 &              1 &  220319 &  0.0087 &     NaN \\
+56  &    1849 &         729 &              1 &  220319 &  0.0083 &     NaN \\
+108 &    1849 &         739 &              1 &  280219 &  0.0076 &  0.0081 \\
+109 &    1849 &         740 &              1 &  280219 &  0.0080 &     NaN \\
+315 &    1849 &         743 &              1 &  280219 &     NaN &  0.0089 \\
+316 &    1849 &         744 &              1 &  280219 &     NaN &  0.0084 \\
+57  &    1849 &         750 &              2 &  220319 &  0.0086 &  0.0096 \\
+177 &    1849 &         752 &              2 &   60319 &  0.0088 &  0.0096 \\
+385 &    1849 &         755 &              2 &   60319 &     NaN &  0.0092 \\
+11  &    1849 &         756 &              2 &  110319 &  0.0093 &     NaN \\
+12  &    1849 &         757 &              2 &  110319 &  0.0084 &     NaN \\
+97  &    1849 &         758 &              2 &  150319 &  0.0082 &     NaN \\
+98  &    1849 &         760 &              2 &  150319 &  0.0074 &  0.0096 \\
+396 &    1849 &         761 &              2 &  150319 &     NaN &  0.0099 \\
+58  &    1849 &         763 &              2 &  220319 &  0.0094 &     NaN \\
+110 &    1849 &         769 &              2 &  280219 &  0.0081 &     NaN \\
+111 &    1849 &         770 &              2 &  280219 &  0.0087 &     NaN \\
+317 &    1849 &         773 &              2 &  280219 &     NaN &  0.0090 \\
+178 &    1849 &         783 &              3 &   60319 &  0.0080 &  0.0093 \\
+179 &    1849 &         784 &              3 &   60319 &  0.0079 &     NaN \\
+180 &    1849 &         785 &              3 &   60319 &  0.0090 &  0.0095 \\
+13  &    1849 &         787 &              3 &  110319 &  0.0088 &     NaN \\
+99  &    1849 &         790 &              3 &  150319 &  0.0084 &     NaN \\
+100 &    1849 &         791 &              3 &  150319 &  0.0086 &     NaN \\
+397 &    1849 &         793 &              3 &  150319 &     NaN &  0.0097 \\
+59  &    1849 &         798 &              3 &  220319 &  0.0085 &     NaN \\
+60  &    1849 &         799 &              3 &  220319 &  0.0080 &     NaN \\
+458 &    1849 &         803 &              3 &  220319 &     NaN &  0.0097 \\
+459 &    1849 &         804 &              3 &  220319 &     NaN &  0.0094 \\
+460 &    1849 &         805 &              3 &  220319 &     NaN &  0.0097 \\
+112 &    1849 &         810 &              3 &  280219 &  0.0081 &     NaN \\
+113 &    1849 &         811 &              3 &  280219 &  0.0082 &     NaN \\
+114 &    1849 &         812 &              3 &  280219 &  0.0073 &     NaN \\
+115 &    1849 &         813 &              3 &  280219 &  0.0073 &  0.0090 \\
+318 &    1849 &         816 &              3 &  280219 &     NaN &  0.0088 \\
+319 &    1849 &         817 &              3 &  280219 &     NaN &  0.0088 \\
+320 &    1849 &         818 &              3 &  280219 &     NaN &  0.0090 \\
+181 &    1849 &         822 &              4 &   60319 &  0.0098 &     NaN \\
+386 &    1849 &         824 &              4 &   60319 &     NaN &  0.0111 \\
+14  &    1849 &         825 &              4 &  110319 &  0.0096 &     NaN \\
+101 &    1849 &         832 &              4 &  150319 &  0.0096 &     NaN \\
+398 &    1849 &         835 &              4 &  150319 &     NaN &  0.0111 \\
+61  &    1849 &         840 &              4 &  220319 &  0.0090 &     NaN \\
+116 &    1849 &         843 &              4 &  280219 &  0.0097 &     NaN \\
+182 &    1849 &         854 &              5 &   60319 &  0.0099 &     NaN \\
+183 &    1849 &         855 &              5 &   60319 &  0.0087 &     NaN \\
+387 &    1849 &         856 &              5 &   60319 &     NaN &     NaN \\
+15  &    1849 &         860 &              5 &  110319 &  0.0100 &     NaN \\
+16  &    1849 &         861 &              5 &  110319 &  0.0100 &     NaN \\
+102 &    1849 &         867 &              5 &  150319 &  0.0095 &     NaN \\
+103 &    1849 &         868 &              5 &  150319 &  0.0079 &  0.0138 \\
+104 &    1849 &         869 &              5 &  150319 &  0.0098 &     NaN \\
+105 &    1849 &         870 &              5 &  150319 &  0.0099 &     NaN \\
+399 &    1849 &         873 &              5 &  150319 &     NaN &     NaN \\
+62  &    1849 &         877 &              5 &  220319 &  0.0085 &     NaN \\
+63  &    1849 &         878 &              5 &  220319 &  0.0095 &     NaN \\
+64  &    1849 &         879 &              5 &  220319 &  0.0099 &     NaN \\
+461 &    1849 &         883 &              5 &  220319 &     NaN &  0.0133 \\
+462 &    1849 &         884 &              5 &  220319 &     NaN &     NaN \\
+463 &    1849 &         885 &              5 &  220319 &     NaN &  0.0110 \\
+464 &    1849 &         886 &              5 &  220319 &     NaN &     NaN \\
+117 &    1849 &         888 &              5 &  280219 &  0.0097 &     NaN \\
+388 &    1849 &         901 &              6 &   60319 &     NaN &  0.0271 \\
+389 &    1849 &         902 &              6 &   60319 &     NaN &  0.0257 \\
+118 &    1849 &         909 &              6 &  280219 &  0.0055 &     NaN \\
+119 &    1849 &         910 &              6 &  280219 &  0.0054 &     NaN \\
+321 &    1849 &         916 &              6 &  280219 &     NaN &  0.0271 \\
+322 &    1849 &         917 &              6 &  280219 &     NaN &  0.0267 \\
+323 &    1849 &         918 &              7 &  280219 &     NaN &     NaN \\
+184 &    1849 &         924 &              7 &   60319 &  0.0093 &     NaN \\
+185 &    1849 &         925 &              7 &   60319 &  0.0093 &     NaN \\
+186 &    1849 &         926 &              7 &   60319 &  0.0056 &     NaN \\
+390 &    1849 &         929 &              7 &   60319 &     NaN &  0.0275 \\
+120 &    1849 &         934 &              7 &  280219 &  0.0060 &     NaN \\
+121 &    1849 &         935 &              7 &  280219 &  0.0093 &     NaN \\
+122 &    1849 &         936 &              7 &  280219 &  0.0092 &     NaN \\
+123 &    1849 &         937 &              7 &  280219 &  0.0089 &     NaN \\
+324 &    1849 &         940 &              7 &  280219 &     NaN &  0.0102 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_bs_t_i_peak.csv b/actions/stimulus-response/data/statistics/values_bs_t_i_peak.csv
new file mode 100644
index 000000000..cb641bfa1
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_t_i_peak.csv
@@ -0,0 +1,443 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+325,1833,0,0,20719,,0.0024
+268,1833,1,0,10719,,
+269,1833,3,0,10719,0.012,
+270,1833,4,0,10719,,
+271,1833,6,0,10719,,
+272,1833,7,0,10719,,
+204,1833,10,0,20719,,
+205,1833,12,0,20719,,
+206,1833,13,0,20719,0.013999999999999999,
+207,1833,14,0,20719,,
+326,1833,18,0,20719,,0.0013
+444,1833,20,0,60619,,
+153,1833,21,0,120619,,
+222,1833,24,0,200619,,
+362,1833,26,0,200619,,
+363,1833,28,0,200619,,0.0009
+364,1833,29,0,200619,,
+42,1833,32,0,260619,,0.0013
+43,1833,35,0,260619,,0.0022
+235,1833,41,0,290519,,
+273,1833,47,1,10719,,
+208,1833,50,1,20719,,
+209,1833,51,1,20719,,
+276,1833,53,1,10719,,
+277,1833,54,1,10719,,
+278,1833,55,1,10719,,
+210,1833,58,1,20719,,
+211,1833,59,1,20719,,
+327,1833,61,1,20719,,0.0012
+328,1833,62,1,20719,,0.0031
+329,1833,63,1,20719,,
+445,1833,70,1,60619,,0.0037
+223,1833,75,1,200619,,
+366,1833,76,1,200619,,
+44,1833,79,1,260619,,
+45,1833,80,1,260619,,
+409,1833,82,1,260619,,0.0007
+410,1833,85,1,260619,,0.0012
+411,1833,86,1,260619,,0.0029
+236,1833,90,1,290519,,
+237,1833,91,1,290519,,
+238,1833,92,1,290519,,
+429,1833,95,1,290519,,0.0168
+279,1833,96,2,10719,,
+280,1833,98,2,10719,,
+212,1833,100,2,20719,,
+213,1833,101,2,20719,0.0032,
+214,1833,102,2,20719,,
+330,1833,105,2,20719,,0.0015
+446,1833,106,2,60619,,0.0028
+154,1833,110,2,120619,,
+46,1833,114,2,260619,,
+239,1833,115,2,290519,,
+240,1833,116,2,290519,,
+241,1833,117,2,290519,,
+281,1833,121,3,10719,,
+282,1833,122,3,10719,,
+283,1833,123,3,10719,,
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+288,1833,128,3,10719,,
+215,1833,130,3,20719,,
+216,1833,133,3,20719,,
+217,1833,134,3,20719,,
+218,1833,135,3,20719,,
+331,1833,138,3,20719,,0.0002
+332,1833,139,3,20719,,0.0012
+333,1833,140,3,20719,,0.0006
+155,1833,144,3,120619,,
+224,1833,148,3,200619,,
+367,1833,149,3,200619,,
+47,1833,150,3,260619,,
+412,1833,152,3,260619,,
+413,1833,153,3,260619,,0.0037
+242,1833,158,3,290519,,
+243,1833,159,3,290519,0.0035,
+289,1833,162,4,10719,,
+156,1833,168,4,120619,,0.0015
+145,1833,169,4,50619,0.0034,
+157,1833,171,4,120619,0.0037,
+225,1833,175,4,200619,,
+368,1833,177,4,200619,,
+290,1833,189,5,10719,,
+219,1833,191,5,20719,0.0036,
+220,1833,192,5,20719,,
+334,1833,194,5,20719,,0.0039
+335,1833,195,5,20719,,0.0017
+448,1833,197,5,60619,,0.0041
+449,1833,199,5,60619,,
+158,1833,202,5,120619,,
+48,1833,206,5,260619,,
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diff --git a/actions/stimulus-response/data/statistics/values_bs_t_i_peak.tex b/actions/stimulus-response/data/statistics/values_bs_t_i_peak.tex
new file mode 100644
index 000000000..5a7250751
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_bs_t_i_peak.tex
@@ -0,0 +1,448 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+325 &    1833 &           0 &              0 &   20719 &     NaN &  0.0024 \\
+268 &    1833 &           1 &              0 &   10719 &     NaN &     NaN \\
+269 &    1833 &           3 &              0 &   10719 &  0.0120 &     NaN \\
+270 &    1833 &           4 &              0 &   10719 &     NaN &     NaN \\
+271 &    1833 &           6 &              0 &   10719 &     NaN &     NaN \\
+272 &    1833 &           7 &              0 &   10719 &     NaN &     NaN \\
+204 &    1833 &          10 &              0 &   20719 &     NaN &     NaN \\
+205 &    1833 &          12 &              0 &   20719 &     NaN &     NaN \\
+206 &    1833 &          13 &              0 &   20719 &  0.0140 &     NaN \\
+207 &    1833 &          14 &              0 &   20719 &     NaN &     NaN \\
+326 &    1833 &          18 &              0 &   20719 &     NaN &  0.0013 \\
+444 &    1833 &          20 &              0 &   60619 &     NaN &     NaN \\
+153 &    1833 &          21 &              0 &  120619 &     NaN &     NaN \\
+222 &    1833 &          24 &              0 &  200619 &     NaN &     NaN \\
+362 &    1833 &          26 &              0 &  200619 &     NaN &     NaN \\
+363 &    1833 &          28 &              0 &  200619 &     NaN &  0.0009 \\
+364 &    1833 &          29 &              0 &  200619 &     NaN &     NaN \\
+42  &    1833 &          32 &              0 &  260619 &     NaN &  0.0013 \\
+43  &    1833 &          35 &              0 &  260619 &     NaN &  0.0022 \\
+235 &    1833 &          41 &              0 &  290519 &     NaN &     NaN \\
+273 &    1833 &          47 &              1 &   10719 &     NaN &     NaN \\
+208 &    1833 &          50 &              1 &   20719 &     NaN &     NaN \\
+209 &    1833 &          51 &              1 &   20719 &     NaN &     NaN \\
+276 &    1833 &          53 &              1 &   10719 &     NaN &     NaN \\
+277 &    1833 &          54 &              1 &   10719 &     NaN &     NaN \\
+278 &    1833 &          55 &              1 &   10719 &     NaN &     NaN \\
+210 &    1833 &          58 &              1 &   20719 &     NaN &     NaN \\
+211 &    1833 &          59 &              1 &   20719 &     NaN &     NaN \\
+327 &    1833 &          61 &              1 &   20719 &     NaN &  0.0012 \\
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+329 &    1833 &          63 &              1 &   20719 &     NaN &     NaN \\
+445 &    1833 &          70 &              1 &   60619 &     NaN &  0.0037 \\
+223 &    1833 &          75 &              1 &  200619 &     NaN &     NaN \\
+366 &    1833 &          76 &              1 &  200619 &     NaN &     NaN \\
+44  &    1833 &          79 &              1 &  260619 &     NaN &     NaN \\
+45  &    1833 &          80 &              1 &  260619 &     NaN &     NaN \\
+409 &    1833 &          82 &              1 &  260619 &     NaN &  0.0007 \\
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+238 &    1833 &          92 &              1 &  290519 &     NaN &     NaN \\
+429 &    1833 &          95 &              1 &  290519 &     NaN &  0.0168 \\
+279 &    1833 &          96 &              2 &   10719 &     NaN &     NaN \\
+280 &    1833 &          98 &              2 &   10719 &     NaN &     NaN \\
+212 &    1833 &         100 &              2 &   20719 &     NaN &     NaN \\
+213 &    1833 &         101 &              2 &   20719 &  0.0032 &     NaN \\
+214 &    1833 &         102 &              2 &   20719 &     NaN &     NaN \\
+330 &    1833 &         105 &              2 &   20719 &     NaN &  0.0015 \\
+446 &    1833 &         106 &              2 &   60619 &     NaN &  0.0028 \\
+154 &    1833 &         110 &              2 &  120619 &     NaN &     NaN \\
+46  &    1833 &         114 &              2 &  260619 &     NaN &     NaN \\
+239 &    1833 &         115 &              2 &  290519 &     NaN &     NaN \\
+240 &    1833 &         116 &              2 &  290519 &     NaN &     NaN \\
+241 &    1833 &         117 &              2 &  290519 &     NaN &     NaN \\
+281 &    1833 &         121 &              3 &   10719 &     NaN &     NaN \\
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+287 &    1833 &         127 &              3 &   10719 &     NaN &     NaN \\
+288 &    1833 &         128 &              3 &   10719 &     NaN &     NaN \\
+215 &    1833 &         130 &              3 &   20719 &     NaN &     NaN \\
+216 &    1833 &         133 &              3 &   20719 &     NaN &     NaN \\
+217 &    1833 &         134 &              3 &   20719 &     NaN &     NaN \\
+218 &    1833 &         135 &              3 &   20719 &     NaN &     NaN \\
+331 &    1833 &         138 &              3 &   20719 &     NaN &  0.0002 \\
+332 &    1833 &         139 &              3 &   20719 &     NaN &  0.0012 \\
+333 &    1833 &         140 &              3 &   20719 &     NaN &  0.0006 \\
+155 &    1833 &         144 &              3 &  120619 &     NaN &     NaN \\
+224 &    1833 &         148 &              3 &  200619 &     NaN &     NaN \\
+367 &    1833 &         149 &              3 &  200619 &     NaN &     NaN \\
+47  &    1833 &         150 &              3 &  260619 &     NaN &     NaN \\
+412 &    1833 &         152 &              3 &  260619 &     NaN &     NaN \\
+413 &    1833 &         153 &              3 &  260619 &     NaN &  0.0037 \\
+242 &    1833 &         158 &              3 &  290519 &     NaN &     NaN \\
+243 &    1833 &         159 &              3 &  290519 &  0.0035 &     NaN \\
+289 &    1833 &         162 &              4 &   10719 &     NaN &     NaN \\
+156 &    1833 &         168 &              4 &  120619 &     NaN &  0.0015 \\
+145 &    1833 &         169 &              4 &   50619 &  0.0034 &     NaN \\
+157 &    1833 &         171 &              4 &  120619 &  0.0037 &     NaN \\
+225 &    1833 &         175 &              4 &  200619 &     NaN &     NaN \\
+368 &    1833 &         177 &              4 &  200619 &     NaN &     NaN \\
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+460 &    1849 &         805 &              3 &  220319 &     NaN &  0.0017 \\
+112 &    1849 &         810 &              3 &  280219 &     NaN &     NaN \\
+113 &    1849 &         811 &              3 &  280219 &     NaN &     NaN \\
+114 &    1849 &         812 &              3 &  280219 &     NaN &     NaN \\
+115 &    1849 &         813 &              3 &  280219 &     NaN &     NaN \\
+318 &    1849 &         816 &              3 &  280219 &     NaN &     NaN \\
+319 &    1849 &         817 &              3 &  280219 &     NaN &     NaN \\
+320 &    1849 &         818 &              3 &  280219 &     NaN &     NaN \\
+181 &    1849 &         822 &              4 &   60319 &     NaN &     NaN \\
+386 &    1849 &         824 &              4 &   60319 &     NaN &  0.0043 \\
+14  &    1849 &         825 &              4 &  110319 &  0.0039 &     NaN \\
+101 &    1849 &         832 &              4 &  150319 &     NaN &     NaN \\
+398 &    1849 &         835 &              4 &  150319 &     NaN &  0.0035 \\
+61  &    1849 &         840 &              4 &  220319 &     NaN &     NaN \\
+116 &    1849 &         843 &              4 &  280219 &  0.0038 &     NaN \\
+182 &    1849 &         854 &              5 &   60319 &     NaN &     NaN \\
+183 &    1849 &         855 &              5 &   60319 &     NaN &     NaN \\
+387 &    1849 &         856 &              5 &   60319 &     NaN &     NaN \\
+15  &    1849 &         860 &              5 &  110319 &     NaN &     NaN \\
+16  &    1849 &         861 &              5 &  110319 &     NaN &     NaN \\
+102 &    1849 &         867 &              5 &  150319 &     NaN &     NaN \\
+103 &    1849 &         868 &              5 &  150319 &     NaN &  0.0038 \\
+104 &    1849 &         869 &              5 &  150319 &     NaN &     NaN \\
+105 &    1849 &         870 &              5 &  150319 &  0.0040 &     NaN \\
+399 &    1849 &         873 &              5 &  150319 &     NaN &     NaN \\
+62  &    1849 &         877 &              5 &  220319 &     NaN &     NaN \\
+63  &    1849 &         878 &              5 &  220319 &     NaN &     NaN \\
+64  &    1849 &         879 &              5 &  220319 &     NaN &     NaN \\
+461 &    1849 &         883 &              5 &  220319 &     NaN &  0.0037 \\
+462 &    1849 &         884 &              5 &  220319 &     NaN &     NaN \\
+463 &    1849 &         885 &              5 &  220319 &     NaN &  0.0047 \\
+464 &    1849 &         886 &              5 &  220319 &     NaN &     NaN \\
+117 &    1849 &         888 &              5 &  280219 &  0.0040 &     NaN \\
+388 &    1849 &         901 &              6 &   60319 &     NaN &  0.0039 \\
+389 &    1849 &         902 &              6 &   60319 &     NaN &  0.0155 \\
+118 &    1849 &         909 &              6 &  280219 &     NaN &     NaN \\
+119 &    1849 &         910 &              6 &  280219 &     NaN &     NaN \\
+321 &    1849 &         916 &              6 &  280219 &     NaN &  0.0142 \\
+322 &    1849 &         917 &              6 &  280219 &     NaN &  0.0131 \\
+323 &    1849 &         918 &              7 &  280219 &     NaN &     NaN \\
+184 &    1849 &         924 &              7 &   60319 &     NaN &     NaN \\
+185 &    1849 &         925 &              7 &   60319 &     NaN &     NaN \\
+186 &    1849 &         926 &              7 &   60319 &     NaN &     NaN \\
+390 &    1849 &         929 &              7 &   60319 &     NaN &  0.0149 \\
+120 &    1849 &         934 &              7 &  280219 &     NaN &     NaN \\
+121 &    1849 &         935 &              7 &  280219 &     NaN &     NaN \\
+122 &    1849 &         936 &              7 &  280219 &     NaN &     NaN \\
+123 &    1849 &         937 &              7 &  280219 &     NaN &     NaN \\
+324 &    1849 &         940 &              7 &  280219 &     NaN &  0.0035 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.csv b/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.csv
new file mode 100644
index 000000000..f7bbca98d
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.csv
@@ -0,0 +1,82 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+34,1833,13,0,20719,0.0215989201,0.0447695523
+35,1833,14,0,20719,0.1306434678,
+68,1833,26,0,200619,,0.0283247168
+74,1833,31,0,260619,,0.022465144300000003
+5,1833,32,0,260619,0.0386980651,0.014498124
+6,1833,35,0,260619,0.07694615269999999,0.0358052712
+54,1833,47,1,10719,0.026248687599999997,
+55,1833,53,1,10719,0.0034498275,
+56,1833,55,1,10719,0.0347982601,
+36,1833,58,1,20719,0.061346932699999995,
+37,1833,59,1,20719,0.028198590099999997,
+64,1833,61,1,20719,,0.0530194698
+65,1833,63,1,20719,,0.0483445166
+7,1833,79,1,260619,0.047847607599999994,
+75,1833,86,1,260619,,0.0102366946
+46,1833,89,1,290519,0.1651417429,
+47,1833,91,1,290519,0.0826458677,
+57,1833,96,2,10719,0.1451927404,
+20,1833,106,2,50619,0.0181490925,
+21,1833,108,2,50619,0.0287985601,
+48,1833,117,2,290519,0.056697165099999995,
+58,1833,121,3,10719,0.0248987551,
+59,1833,124,3,10719,0.0311984401,
+60,1833,128,3,10719,0.0436478176,
+38,1833,130,3,20719,0.0947952602,
+39,1833,134,3,20719,0.018299085,
+40,1833,135,3,20719,0.041697915099999996,
+26,1833,144,3,120619,0.1334933253,
+69,1833,149,3,200619,,0.0694093059
+8,1833,150,3,260619,0.06419679019999999,
+27,1833,168,4,120619,0.0314984251,0.0196348037
+28,1833,171,4,120619,0.1274936253,
+66,1833,195,5,20719,,0.0469145309
+29,1833,202,5,120619,0.046347682599999995,
+9,1833,206,5,260619,0.1711414429,
+76,1833,210,5,260619,,0.0353420724
+85,1833,218,5,290519,,0.05285447150000001
+23,1833,231,6,50619,0.1343932803,
+24,1833,232,6,50619,0.15629218539999998,
+30,1833,233,6,120619,0.0872956352,
+25,1833,234,6,50619,0.0311984401,
+82,1833,240,6,120619,,0.0259597404
+10,1833,243,6,260619,0.0517474126,
+31,1833,244,6,120619,0.0505474726,
+83,1833,248,6,120619,,0.1097239028
+84,1833,249,6,120619,,0.0881641184
+42,1833,253,6,200619,0.0332983351,0.0263447366
+43,1833,254,6,200619,0.0982450877,
+44,1833,257,6,200619,0.0133493325,
+70,1833,260,6,200619,,0.053349466500000005
+71,1833,261,6,200619,,0.0725442746
+77,1833,263,6,260619,,0.07114734360000001
+78,1833,274,6,260619,,0.0169993978
+79,1833,275,6,260619,,0.0683218306
+32,1833,301,7,120619,0.11069446529999999,
+45,1833,304,7,200619,0.1175941203,0.1101638984
+17,1834,329,0,10319,0.2848357582,
+73,1834,332,0,60319,,0.1145088549
+2,1834,357,2,220319,0.2366881656,
+3,1834,358,2,220319,0.0571471426,
+67,1834,360,2,220319,,0.0205697943
+18,1834,361,3,10319,0.013499325,
+19,1834,364,3,10319,0.3193340333,
+12,1834,381,3,150319,0.1496925154,0.068804312
+4,1834,482,6,220319,0.0338983051,
+33,1834,518,7,110319,0.1306434678,
+61,1839,577,1,120619,,0.0008799912
+49,1839,611,5,120619,0.2027898605,
+13,1839,617,5,290519,0.2147892605,
+50,1839,629,6,120619,0.024298785099999998,0.017544824599999998
+53,1839,645,6,200619,0.09899505019999999,
+0,1839,655,7,60619,0.190640468,0.0694643054
+52,1839,656,7,120619,0.0536973151,
+62,1839,659,7,120619,,0.029699702999999997
+63,1839,660,7,120619,,0.027224727799999997
+14,1839,671,7,290519,0.005699715,
+11,1849,684,0,220319,0.1814909255,
+1,1849,715,1,110319,0.050397480099999996,
+15,1849,724,1,280219,0.194540273,0.0677593224
+72,1849,835,4,150319,,0.0128148719
+16,1849,937,7,280219,0.09899505019999999,
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.tex b/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.tex
new file mode 100644
index 000000000..d28605086
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_p_e_peak.tex
@@ -0,0 +1,87 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+34 &    1833 &          13 &              0 &   20719 &  0.021599 &  0.044770 \\
+35 &    1833 &          14 &              0 &   20719 &  0.130643 &       NaN \\
+68 &    1833 &          26 &              0 &  200619 &       NaN &  0.028325 \\
+74 &    1833 &          31 &              0 &  260619 &       NaN &  0.022465 \\
+5  &    1833 &          32 &              0 &  260619 &  0.038698 &  0.014498 \\
+6  &    1833 &          35 &              0 &  260619 &  0.076946 &  0.035805 \\
+54 &    1833 &          47 &              1 &   10719 &  0.026249 &       NaN \\
+55 &    1833 &          53 &              1 &   10719 &  0.003450 &       NaN \\
+56 &    1833 &          55 &              1 &   10719 &  0.034798 &       NaN \\
+36 &    1833 &          58 &              1 &   20719 &  0.061347 &       NaN \\
+37 &    1833 &          59 &              1 &   20719 &  0.028199 &       NaN \\
+64 &    1833 &          61 &              1 &   20719 &       NaN &  0.053019 \\
+65 &    1833 &          63 &              1 &   20719 &       NaN &  0.048345 \\
+7  &    1833 &          79 &              1 &  260619 &  0.047848 &       NaN \\
+75 &    1833 &          86 &              1 &  260619 &       NaN &  0.010237 \\
+46 &    1833 &          89 &              1 &  290519 &  0.165142 &       NaN \\
+47 &    1833 &          91 &              1 &  290519 &  0.082646 &       NaN \\
+57 &    1833 &          96 &              2 &   10719 &  0.145193 &       NaN \\
+20 &    1833 &         106 &              2 &   50619 &  0.018149 &       NaN \\
+21 &    1833 &         108 &              2 &   50619 &  0.028799 &       NaN \\
+48 &    1833 &         117 &              2 &  290519 &  0.056697 &       NaN \\
+58 &    1833 &         121 &              3 &   10719 &  0.024899 &       NaN \\
+59 &    1833 &         124 &              3 &   10719 &  0.031198 &       NaN \\
+60 &    1833 &         128 &              3 &   10719 &  0.043648 &       NaN \\
+38 &    1833 &         130 &              3 &   20719 &  0.094795 &       NaN \\
+39 &    1833 &         134 &              3 &   20719 &  0.018299 &       NaN \\
+40 &    1833 &         135 &              3 &   20719 &  0.041698 &       NaN \\
+26 &    1833 &         144 &              3 &  120619 &  0.133493 &       NaN \\
+69 &    1833 &         149 &              3 &  200619 &       NaN &  0.069409 \\
+8  &    1833 &         150 &              3 &  260619 &  0.064197 &       NaN \\
+27 &    1833 &         168 &              4 &  120619 &  0.031498 &  0.019635 \\
+28 &    1833 &         171 &              4 &  120619 &  0.127494 &       NaN \\
+66 &    1833 &         195 &              5 &   20719 &       NaN &  0.046915 \\
+29 &    1833 &         202 &              5 &  120619 &  0.046348 &       NaN \\
+9  &    1833 &         206 &              5 &  260619 &  0.171141 &       NaN \\
+76 &    1833 &         210 &              5 &  260619 &       NaN &  0.035342 \\
+85 &    1833 &         218 &              5 &  290519 &       NaN &  0.052854 \\
+23 &    1833 &         231 &              6 &   50619 &  0.134393 &       NaN \\
+24 &    1833 &         232 &              6 &   50619 &  0.156292 &       NaN \\
+30 &    1833 &         233 &              6 &  120619 &  0.087296 &       NaN \\
+25 &    1833 &         234 &              6 &   50619 &  0.031198 &       NaN \\
+82 &    1833 &         240 &              6 &  120619 &       NaN &  0.025960 \\
+10 &    1833 &         243 &              6 &  260619 &  0.051747 &       NaN \\
+31 &    1833 &         244 &              6 &  120619 &  0.050547 &       NaN \\
+83 &    1833 &         248 &              6 &  120619 &       NaN &  0.109724 \\
+84 &    1833 &         249 &              6 &  120619 &       NaN &  0.088164 \\
+42 &    1833 &         253 &              6 &  200619 &  0.033298 &  0.026345 \\
+43 &    1833 &         254 &              6 &  200619 &  0.098245 &       NaN \\
+44 &    1833 &         257 &              6 &  200619 &  0.013349 &       NaN \\
+70 &    1833 &         260 &              6 &  200619 &       NaN &  0.053349 \\
+71 &    1833 &         261 &              6 &  200619 &       NaN &  0.072544 \\
+77 &    1833 &         263 &              6 &  260619 &       NaN &  0.071147 \\
+78 &    1833 &         274 &              6 &  260619 &       NaN &  0.016999 \\
+79 &    1833 &         275 &              6 &  260619 &       NaN &  0.068322 \\
+32 &    1833 &         301 &              7 &  120619 &  0.110694 &       NaN \\
+45 &    1833 &         304 &              7 &  200619 &  0.117594 &  0.110164 \\
+17 &    1834 &         329 &              0 &   10319 &  0.284836 &       NaN \\
+73 &    1834 &         332 &              0 &   60319 &       NaN &  0.114509 \\
+2  &    1834 &         357 &              2 &  220319 &  0.236688 &       NaN \\
+3  &    1834 &         358 &              2 &  220319 &  0.057147 &       NaN \\
+67 &    1834 &         360 &              2 &  220319 &       NaN &  0.020570 \\
+18 &    1834 &         361 &              3 &   10319 &  0.013499 &       NaN \\
+19 &    1834 &         364 &              3 &   10319 &  0.319334 &       NaN \\
+12 &    1834 &         381 &              3 &  150319 &  0.149693 &  0.068804 \\
+4  &    1834 &         482 &              6 &  220319 &  0.033898 &       NaN \\
+33 &    1834 &         518 &              7 &  110319 &  0.130643 &       NaN \\
+61 &    1839 &         577 &              1 &  120619 &       NaN &  0.000880 \\
+49 &    1839 &         611 &              5 &  120619 &  0.202790 &       NaN \\
+13 &    1839 &         617 &              5 &  290519 &  0.214789 &       NaN \\
+50 &    1839 &         629 &              6 &  120619 &  0.024299 &  0.017545 \\
+53 &    1839 &         645 &              6 &  200619 &  0.098995 &       NaN \\
+0  &    1839 &         655 &              7 &   60619 &  0.190640 &  0.069464 \\
+52 &    1839 &         656 &              7 &  120619 &  0.053697 &       NaN \\
+62 &    1839 &         659 &              7 &  120619 &       NaN &  0.029700 \\
+63 &    1839 &         660 &              7 &  120619 &       NaN &  0.027225 \\
+14 &    1839 &         671 &              7 &  290519 &  0.005700 &       NaN \\
+11 &    1849 &         684 &              0 &  220319 &  0.181491 &       NaN \\
+1  &    1849 &         715 &              1 &  110319 &  0.050397 &       NaN \\
+15 &    1849 &         724 &              1 &  280219 &  0.194540 &  0.067759 \\
+72 &    1849 &         835 &              4 &  150319 &       NaN &  0.012815 \\
+16 &    1849 &         937 &              7 &  280219 &  0.098995 &       NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.csv b/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.csv
new file mode 100644
index 000000000..a0551b082
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.csv
@@ -0,0 +1,82 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+34,1833,13,0,20719,0.002099895,
+35,1833,14,0,20719,,
+68,1833,26,0,200619,,
+74,1833,31,0,260619,,
+5,1833,32,0,260619,,0.0008800778
+6,1833,35,0,260619,,0.0048635879
+54,1833,47,1,10719,,
+55,1833,53,1,10719,,
+56,1833,55,1,10719,,
+36,1833,58,1,20719,,
+37,1833,59,1,20719,,
+64,1833,61,1,20719,,0.010064899399999999
+65,1833,63,1,20719,,
+7,1833,79,1,260619,,
+75,1833,86,1,260619,,0.0015748760999999998
+46,1833,89,1,290519,0.023548822599999998,
+47,1833,91,1,290519,,
+57,1833,96,2,10719,,
+87,1833,106,2,60619,,0.001099989
+21,1833,108,2,50619,,
+48,1833,117,2,290519,,
+58,1833,121,3,10719,,
+59,1833,124,3,10719,,
+60,1833,128,3,10719,,
+38,1833,130,3,20719,,
+39,1833,134,3,20719,,
+40,1833,135,3,20719,,
+26,1833,144,3,120619,,
+69,1833,149,3,200619,,
+8,1833,150,3,260619,,
+27,1833,168,4,120619,,0.0012099879
+28,1833,171,4,120619,0.0166491675,
+66,1833,195,5,20719,,0.0033549665
+29,1833,202,5,120619,,
+9,1833,206,5,260619,,
+76,1833,210,5,260619,,0.0019917551
+85,1833,218,5,290519,,0.0048399516
+23,1833,231,6,50619,,
+24,1833,232,6,50619,,
+30,1833,233,6,120619,,
+25,1833,234,6,50619,0.0025498725,
+82,1833,240,6,120619,,
+10,1833,243,6,260619,,
+31,1833,244,6,120619,,
+83,1833,248,6,120619,,0.0058849412
+84,1833,249,6,120619,,0.0023649764
+42,1833,253,6,200619,,0.001704983
+43,1833,254,6,200619,,
+44,1833,257,6,200619,,
+70,1833,260,6,200619,,0.0014849852
+71,1833,261,6,200619,,0.0029149709
+77,1833,263,6,260619,,0.0075501413
+78,1833,274,6,260619,,0.0014359164
+79,1833,275,6,260619,,0.0042614294
+32,1833,301,7,120619,,
+45,1833,304,7,200619,,
+17,1834,329,0,10319,,
+73,1834,332,0,60319,,0.0085799142
+2,1834,357,2,220319,,
+3,1834,358,2,220319,,
+67,1834,360,2,220319,,0.0026399735999999997
+18,1834,361,3,10319,,
+19,1834,364,3,10319,,
+12,1834,381,3,150319,,0.0088549115
+4,1834,482,6,220319,,
+33,1834,518,7,110319,,
+61,1839,577,1,120619,,5.4999450005499904e-05
+49,1839,611,5,120619,0.0403479826,
+13,1839,617,5,290519,,
+50,1839,629,6,120619,0.0004499775,0.0008799912
+53,1839,645,6,200619,,
+0,1839,655,7,60619,,0.0080849192
+52,1839,656,7,120619,0.0079496025,
+62,1839,659,7,120619,,0.0023649764
+63,1839,660,7,120619,,
+14,1839,671,7,290519,,
+11,1849,684,0,220319,,
+1,1849,715,1,110319,0.00239988,
+15,1849,724,1,280219,,
+72,1849,835,4,150319,,0.0018149819
+16,1849,937,7,280219,,
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.tex b/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.tex
new file mode 100644
index 000000000..37a45e22c
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_p_i_peak.tex
@@ -0,0 +1,87 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+34 &    1833 &          13 &              0 &   20719 &  0.002100 &       NaN \\
+35 &    1833 &          14 &              0 &   20719 &       NaN &       NaN \\
+68 &    1833 &          26 &              0 &  200619 &       NaN &       NaN \\
+74 &    1833 &          31 &              0 &  260619 &       NaN &       NaN \\
+5  &    1833 &          32 &              0 &  260619 &       NaN &  0.000880 \\
+6  &    1833 &          35 &              0 &  260619 &       NaN &  0.004864 \\
+54 &    1833 &          47 &              1 &   10719 &       NaN &       NaN \\
+55 &    1833 &          53 &              1 &   10719 &       NaN &       NaN \\
+56 &    1833 &          55 &              1 &   10719 &       NaN &       NaN \\
+36 &    1833 &          58 &              1 &   20719 &       NaN &       NaN \\
+37 &    1833 &          59 &              1 &   20719 &       NaN &       NaN \\
+64 &    1833 &          61 &              1 &   20719 &       NaN &  0.010065 \\
+65 &    1833 &          63 &              1 &   20719 &       NaN &       NaN \\
+7  &    1833 &          79 &              1 &  260619 &       NaN &       NaN \\
+75 &    1833 &          86 &              1 &  260619 &       NaN &  0.001575 \\
+46 &    1833 &          89 &              1 &  290519 &  0.023549 &       NaN \\
+47 &    1833 &          91 &              1 &  290519 &       NaN &       NaN \\
+57 &    1833 &          96 &              2 &   10719 &       NaN &       NaN \\
+87 &    1833 &         106 &              2 &   60619 &       NaN &  0.001100 \\
+21 &    1833 &         108 &              2 &   50619 &       NaN &       NaN \\
+48 &    1833 &         117 &              2 &  290519 &       NaN &       NaN \\
+58 &    1833 &         121 &              3 &   10719 &       NaN &       NaN \\
+59 &    1833 &         124 &              3 &   10719 &       NaN &       NaN \\
+60 &    1833 &         128 &              3 &   10719 &       NaN &       NaN \\
+38 &    1833 &         130 &              3 &   20719 &       NaN &       NaN \\
+39 &    1833 &         134 &              3 &   20719 &       NaN &       NaN \\
+40 &    1833 &         135 &              3 &   20719 &       NaN &       NaN \\
+26 &    1833 &         144 &              3 &  120619 &       NaN &       NaN \\
+69 &    1833 &         149 &              3 &  200619 &       NaN &       NaN \\
+8  &    1833 &         150 &              3 &  260619 &       NaN &       NaN \\
+27 &    1833 &         168 &              4 &  120619 &       NaN &  0.001210 \\
+28 &    1833 &         171 &              4 &  120619 &  0.016649 &       NaN \\
+66 &    1833 &         195 &              5 &   20719 &       NaN &  0.003355 \\
+29 &    1833 &         202 &              5 &  120619 &       NaN &       NaN \\
+9  &    1833 &         206 &              5 &  260619 &       NaN &       NaN \\
+76 &    1833 &         210 &              5 &  260619 &       NaN &  0.001992 \\
+85 &    1833 &         218 &              5 &  290519 &       NaN &  0.004840 \\
+23 &    1833 &         231 &              6 &   50619 &       NaN &       NaN \\
+24 &    1833 &         232 &              6 &   50619 &       NaN &       NaN \\
+30 &    1833 &         233 &              6 &  120619 &       NaN &       NaN \\
+25 &    1833 &         234 &              6 &   50619 &  0.002550 &       NaN \\
+82 &    1833 &         240 &              6 &  120619 &       NaN &       NaN \\
+10 &    1833 &         243 &              6 &  260619 &       NaN &       NaN \\
+31 &    1833 &         244 &              6 &  120619 &       NaN &       NaN \\
+83 &    1833 &         248 &              6 &  120619 &       NaN &  0.005885 \\
+84 &    1833 &         249 &              6 &  120619 &       NaN &  0.002365 \\
+42 &    1833 &         253 &              6 &  200619 &       NaN &  0.001705 \\
+43 &    1833 &         254 &              6 &  200619 &       NaN &       NaN \\
+44 &    1833 &         257 &              6 &  200619 &       NaN &       NaN \\
+70 &    1833 &         260 &              6 &  200619 &       NaN &  0.001485 \\
+71 &    1833 &         261 &              6 &  200619 &       NaN &  0.002915 \\
+77 &    1833 &         263 &              6 &  260619 &       NaN &  0.007550 \\
+78 &    1833 &         274 &              6 &  260619 &       NaN &  0.001436 \\
+79 &    1833 &         275 &              6 &  260619 &       NaN &  0.004261 \\
+32 &    1833 &         301 &              7 &  120619 &       NaN &       NaN \\
+45 &    1833 &         304 &              7 &  200619 &       NaN &       NaN \\
+17 &    1834 &         329 &              0 &   10319 &       NaN &       NaN \\
+73 &    1834 &         332 &              0 &   60319 &       NaN &  0.008580 \\
+2  &    1834 &         357 &              2 &  220319 &       NaN &       NaN \\
+3  &    1834 &         358 &              2 &  220319 &       NaN &       NaN \\
+67 &    1834 &         360 &              2 &  220319 &       NaN &  0.002640 \\
+18 &    1834 &         361 &              3 &   10319 &       NaN &       NaN \\
+19 &    1834 &         364 &              3 &   10319 &       NaN &       NaN \\
+12 &    1834 &         381 &              3 &  150319 &       NaN &  0.008855 \\
+4  &    1834 &         482 &              6 &  220319 &       NaN &       NaN \\
+33 &    1834 &         518 &              7 &  110319 &       NaN &       NaN \\
+61 &    1839 &         577 &              1 &  120619 &       NaN &  0.000055 \\
+49 &    1839 &         611 &              5 &  120619 &  0.040348 &       NaN \\
+13 &    1839 &         617 &              5 &  290519 &       NaN &       NaN \\
+50 &    1839 &         629 &              6 &  120619 &  0.000450 &  0.000880 \\
+53 &    1839 &         645 &              6 &  200619 &       NaN &       NaN \\
+0  &    1839 &         655 &              7 &   60619 &       NaN &  0.008085 \\
+52 &    1839 &         656 &              7 &  120619 &  0.007950 &       NaN \\
+62 &    1839 &         659 &              7 &  120619 &       NaN &  0.002365 \\
+63 &    1839 &         660 &              7 &  120619 &       NaN &       NaN \\
+14 &    1839 &         671 &              7 &  290519 &       NaN &       NaN \\
+11 &    1849 &         684 &              0 &  220319 &       NaN &       NaN \\
+1  &    1849 &         715 &              1 &  110319 &  0.002400 &       NaN \\
+15 &    1849 &         724 &              1 &  280219 &       NaN &       NaN \\
+72 &    1849 &         835 &              4 &  150319 &       NaN &  0.001815 \\
+16 &    1849 &         937 &              7 &  280219 &       NaN &       NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.csv b/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.csv
new file mode 100644
index 000000000..dc174dbac
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.csv
@@ -0,0 +1,82 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+34,1833,13,0,20719,0.0254,0.0077
+35,1833,14,0,20719,0.0077,
+68,1833,26,0,200619,,0.0079
+74,1833,31,0,260619,,0.0094
+5,1833,32,0,260619,0.0078,0.009000000000000001
+6,1833,35,0,260619,0.0078,0.0092
+54,1833,47,1,10719,0.008,
+55,1833,53,1,10719,0.0083,
+56,1833,55,1,10719,0.0069,
+36,1833,58,1,20719,0.0077,
+37,1833,59,1,20719,0.0081,
+64,1833,61,1,20719,,0.0091
+65,1833,63,1,20719,,0.0095
+7,1833,79,1,260619,0.0076,
+75,1833,86,1,260619,,0.0096
+46,1833,89,1,290519,0.0093,
+47,1833,91,1,290519,0.0081,
+57,1833,96,2,10719,0.008,
+20,1833,106,2,50619,0.0079,
+21,1833,108,2,50619,0.0091,
+48,1833,117,2,290519,0.0068,
+58,1833,121,3,10719,0.0067,
+59,1833,124,3,10719,0.0237,
+60,1833,128,3,10719,0.0071,
+38,1833,130,3,20719,0.0075,
+39,1833,134,3,20719,0.008,
+40,1833,135,3,20719,0.0072,
+26,1833,144,3,120619,0.0087,
+69,1833,149,3,200619,,0.0079
+8,1833,150,3,260619,0.0067,
+27,1833,168,4,120619,0.0068,0.0083
+28,1833,171,4,120619,0.0086,
+66,1833,195,5,20719,,0.0093
+29,1833,202,5,120619,0.0086,
+9,1833,206,5,260619,0.0074,
+76,1833,210,5,260619,,0.0099
+85,1833,218,5,290519,,0.026000000000000002
+23,1833,231,6,50619,0.006999999999999999,
+24,1833,232,6,50619,0.0068,
+30,1833,233,6,120619,0.0067,
+25,1833,234,6,50619,0.0069,
+82,1833,240,6,120619,,0.0084
+10,1833,243,6,260619,0.0063,
+31,1833,244,6,120619,0.0064,
+83,1833,248,6,120619,,0.0087
+84,1833,249,6,120619,,0.0086
+42,1833,253,6,200619,0.0066,0.0091
+43,1833,254,6,200619,0.0068,
+44,1833,257,6,200619,0.0068,
+70,1833,260,6,200619,,0.0091
+71,1833,261,6,200619,,0.0098
+77,1833,263,6,260619,,0.0089
+78,1833,274,6,260619,,0.009000000000000001
+79,1833,275,6,260619,,0.0094
+32,1833,301,7,120619,0.0078,
+45,1833,304,7,200619,0.0082,0.0092
+17,1834,329,0,10319,0.0081,
+73,1834,332,0,60319,,0.0106
+2,1834,357,2,220319,0.009000000000000001,
+3,1834,358,2,220319,0.009000000000000001,
+67,1834,360,2,220319,,0.0125
+18,1834,361,3,10319,0.0097,
+19,1834,364,3,10319,0.0096,
+12,1834,381,3,150319,0.0091,0.0135
+4,1834,482,6,220319,0.0083,
+33,1834,518,7,110319,0.0083,
+61,1839,577,1,120619,,0.0201
+49,1839,611,5,120619,0.0069,
+13,1839,617,5,290519,0.0073,
+50,1839,629,6,120619,0.0072,0.008
+53,1839,645,6,200619,0.006,
+0,1839,655,7,60619,0.0077,0.0082
+52,1839,656,7,120619,0.0065,
+62,1839,659,7,120619,,0.0079
+63,1839,660,7,120619,,0.0076
+14,1839,671,7,290519,0.0077,
+11,1849,684,0,220319,0.009000000000000001,
+1,1849,715,1,110319,0.0135,
+15,1849,724,1,280219,0.0071,0.0085
+72,1849,835,4,150319,,0.0111
+16,1849,937,7,280219,0.0089,
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.tex b/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.tex
new file mode 100644
index 000000000..0cca74626
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_t_e_peak.tex
@@ -0,0 +1,87 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+34 &    1833 &          13 &              0 &   20719 &  0.0254 &  0.0077 \\
+35 &    1833 &          14 &              0 &   20719 &  0.0077 &     NaN \\
+68 &    1833 &          26 &              0 &  200619 &     NaN &  0.0079 \\
+74 &    1833 &          31 &              0 &  260619 &     NaN &  0.0094 \\
+5  &    1833 &          32 &              0 &  260619 &  0.0078 &  0.0090 \\
+6  &    1833 &          35 &              0 &  260619 &  0.0078 &  0.0092 \\
+54 &    1833 &          47 &              1 &   10719 &  0.0080 &     NaN \\
+55 &    1833 &          53 &              1 &   10719 &  0.0083 &     NaN \\
+56 &    1833 &          55 &              1 &   10719 &  0.0069 &     NaN \\
+36 &    1833 &          58 &              1 &   20719 &  0.0077 &     NaN \\
+37 &    1833 &          59 &              1 &   20719 &  0.0081 &     NaN \\
+64 &    1833 &          61 &              1 &   20719 &     NaN &  0.0091 \\
+65 &    1833 &          63 &              1 &   20719 &     NaN &  0.0095 \\
+7  &    1833 &          79 &              1 &  260619 &  0.0076 &     NaN \\
+75 &    1833 &          86 &              1 &  260619 &     NaN &  0.0096 \\
+46 &    1833 &          89 &              1 &  290519 &  0.0093 &     NaN \\
+47 &    1833 &          91 &              1 &  290519 &  0.0081 &     NaN \\
+57 &    1833 &          96 &              2 &   10719 &  0.0080 &     NaN \\
+20 &    1833 &         106 &              2 &   50619 &  0.0079 &     NaN \\
+21 &    1833 &         108 &              2 &   50619 &  0.0091 &     NaN \\
+48 &    1833 &         117 &              2 &  290519 &  0.0068 &     NaN \\
+58 &    1833 &         121 &              3 &   10719 &  0.0067 &     NaN \\
+59 &    1833 &         124 &              3 &   10719 &  0.0237 &     NaN \\
+60 &    1833 &         128 &              3 &   10719 &  0.0071 &     NaN \\
+38 &    1833 &         130 &              3 &   20719 &  0.0075 &     NaN \\
+39 &    1833 &         134 &              3 &   20719 &  0.0080 &     NaN \\
+40 &    1833 &         135 &              3 &   20719 &  0.0072 &     NaN \\
+26 &    1833 &         144 &              3 &  120619 &  0.0087 &     NaN \\
+69 &    1833 &         149 &              3 &  200619 &     NaN &  0.0079 \\
+8  &    1833 &         150 &              3 &  260619 &  0.0067 &     NaN \\
+27 &    1833 &         168 &              4 &  120619 &  0.0068 &  0.0083 \\
+28 &    1833 &         171 &              4 &  120619 &  0.0086 &     NaN \\
+66 &    1833 &         195 &              5 &   20719 &     NaN &  0.0093 \\
+29 &    1833 &         202 &              5 &  120619 &  0.0086 &     NaN \\
+9  &    1833 &         206 &              5 &  260619 &  0.0074 &     NaN \\
+76 &    1833 &         210 &              5 &  260619 &     NaN &  0.0099 \\
+85 &    1833 &         218 &              5 &  290519 &     NaN &  0.0260 \\
+23 &    1833 &         231 &              6 &   50619 &  0.0070 &     NaN \\
+24 &    1833 &         232 &              6 &   50619 &  0.0068 &     NaN \\
+30 &    1833 &         233 &              6 &  120619 &  0.0067 &     NaN \\
+25 &    1833 &         234 &              6 &   50619 &  0.0069 &     NaN \\
+82 &    1833 &         240 &              6 &  120619 &     NaN &  0.0084 \\
+10 &    1833 &         243 &              6 &  260619 &  0.0063 &     NaN \\
+31 &    1833 &         244 &              6 &  120619 &  0.0064 &     NaN \\
+83 &    1833 &         248 &              6 &  120619 &     NaN &  0.0087 \\
+84 &    1833 &         249 &              6 &  120619 &     NaN &  0.0086 \\
+42 &    1833 &         253 &              6 &  200619 &  0.0066 &  0.0091 \\
+43 &    1833 &         254 &              6 &  200619 &  0.0068 &     NaN \\
+44 &    1833 &         257 &              6 &  200619 &  0.0068 &     NaN \\
+70 &    1833 &         260 &              6 &  200619 &     NaN &  0.0091 \\
+71 &    1833 &         261 &              6 &  200619 &     NaN &  0.0098 \\
+77 &    1833 &         263 &              6 &  260619 &     NaN &  0.0089 \\
+78 &    1833 &         274 &              6 &  260619 &     NaN &  0.0090 \\
+79 &    1833 &         275 &              6 &  260619 &     NaN &  0.0094 \\
+32 &    1833 &         301 &              7 &  120619 &  0.0078 &     NaN \\
+45 &    1833 &         304 &              7 &  200619 &  0.0082 &  0.0092 \\
+17 &    1834 &         329 &              0 &   10319 &  0.0081 &     NaN \\
+73 &    1834 &         332 &              0 &   60319 &     NaN &  0.0106 \\
+2  &    1834 &         357 &              2 &  220319 &  0.0090 &     NaN \\
+3  &    1834 &         358 &              2 &  220319 &  0.0090 &     NaN \\
+67 &    1834 &         360 &              2 &  220319 &     NaN &  0.0125 \\
+18 &    1834 &         361 &              3 &   10319 &  0.0097 &     NaN \\
+19 &    1834 &         364 &              3 &   10319 &  0.0096 &     NaN \\
+12 &    1834 &         381 &              3 &  150319 &  0.0091 &  0.0135 \\
+4  &    1834 &         482 &              6 &  220319 &  0.0083 &     NaN \\
+33 &    1834 &         518 &              7 &  110319 &  0.0083 &     NaN \\
+61 &    1839 &         577 &              1 &  120619 &     NaN &  0.0201 \\
+49 &    1839 &         611 &              5 &  120619 &  0.0069 &     NaN \\
+13 &    1839 &         617 &              5 &  290519 &  0.0073 &     NaN \\
+50 &    1839 &         629 &              6 &  120619 &  0.0072 &  0.0080 \\
+53 &    1839 &         645 &              6 &  200619 &  0.0060 &     NaN \\
+0  &    1839 &         655 &              7 &   60619 &  0.0077 &  0.0082 \\
+52 &    1839 &         656 &              7 &  120619 &  0.0065 &     NaN \\
+62 &    1839 &         659 &              7 &  120619 &     NaN &  0.0079 \\
+63 &    1839 &         660 &              7 &  120619 &     NaN &  0.0076 \\
+14 &    1839 &         671 &              7 &  290519 &  0.0077 &     NaN \\
+11 &    1849 &         684 &              0 &  220319 &  0.0090 &     NaN \\
+1  &    1849 &         715 &              1 &  110319 &  0.0135 &     NaN \\
+15 &    1849 &         724 &              1 &  280219 &  0.0071 &  0.0085 \\
+72 &    1849 &         835 &              4 &  150319 &     NaN &  0.0111 \\
+16 &    1849 &         937 &              7 &  280219 &  0.0089 &     NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.csv b/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.csv
new file mode 100644
index 000000000..0391d07ce
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.csv
@@ -0,0 +1,82 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+34,1833,13,0,20719,0.013999999999999999,
+35,1833,14,0,20719,,
+68,1833,26,0,200619,,
+74,1833,31,0,260619,,
+5,1833,32,0,260619,,0.0013
+6,1833,35,0,260619,,0.0022
+54,1833,47,1,10719,,
+55,1833,53,1,10719,,
+56,1833,55,1,10719,,
+36,1833,58,1,20719,,
+37,1833,59,1,20719,,
+64,1833,61,1,20719,,0.0012
+65,1833,63,1,20719,,
+7,1833,79,1,260619,,
+75,1833,86,1,260619,,0.0029
+46,1833,89,1,290519,0.0037,
+47,1833,91,1,290519,,
+57,1833,96,2,10719,,
+87,1833,106,2,60619,,0.0028
+21,1833,108,2,50619,,
+48,1833,117,2,290519,,
+58,1833,121,3,10719,,
+59,1833,124,3,10719,,
+60,1833,128,3,10719,,
+38,1833,130,3,20719,,
+39,1833,134,3,20719,,
+40,1833,135,3,20719,,
+26,1833,144,3,120619,,
+69,1833,149,3,200619,,
+8,1833,150,3,260619,,
+27,1833,168,4,120619,,0.0015
+28,1833,171,4,120619,0.0037,
+66,1833,195,5,20719,,0.0017
+29,1833,202,5,120619,,
+9,1833,206,5,260619,,
+76,1833,210,5,260619,,0.003
+85,1833,218,5,290519,,0.0017
+23,1833,231,6,50619,,
+24,1833,232,6,50619,,
+30,1833,233,6,120619,,
+25,1833,234,6,50619,0.0026,
+82,1833,240,6,120619,,
+10,1833,243,6,260619,,
+31,1833,244,6,120619,,
+83,1833,248,6,120619,,0.0033
+84,1833,249,6,120619,,0.001
+42,1833,253,6,200619,,0.0011
+43,1833,254,6,200619,,
+44,1833,257,6,200619,,
+70,1833,260,6,200619,,0.0034
+71,1833,261,6,200619,,0.0013
+77,1833,263,6,260619,,0.001
+78,1833,274,6,260619,,0.0026
+79,1833,275,6,260619,,0.0035
+32,1833,301,7,120619,,
+45,1833,304,7,200619,,
+17,1834,329,0,10319,,
+73,1834,332,0,60319,,0.0023
+2,1834,357,2,220319,,
+3,1834,358,2,220319,,
+67,1834,360,2,220319,,0.0034
+18,1834,361,3,10319,,
+19,1834,364,3,10319,,
+12,1834,381,3,150319,,0.0043
+4,1834,482,6,220319,,
+33,1834,518,7,110319,,
+61,1839,577,1,120619,,0.0087
+49,1839,611,5,120619,0.0008,
+13,1839,617,5,290519,,
+50,1839,629,6,120619,0.0006,0.0008
+53,1839,645,6,200619,,
+0,1839,655,7,60619,,0.0003
+52,1839,656,7,120619,0.0004,
+62,1839,659,7,120619,,0.0005
+63,1839,660,7,120619,,
+14,1839,671,7,290519,,
+11,1849,684,0,220319,,
+1,1849,715,1,110319,0.0026,
+15,1849,724,1,280219,,
+72,1849,835,4,150319,,0.0035
+16,1849,937,7,280219,,
diff --git a/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.tex b/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.tex
new file mode 100644
index 000000000..ea8db6377
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_gridcell_t_i_peak.tex
@@ -0,0 +1,87 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+34 &    1833 &          13 &              0 &   20719 &  0.0140 &     NaN \\
+35 &    1833 &          14 &              0 &   20719 &     NaN &     NaN \\
+68 &    1833 &          26 &              0 &  200619 &     NaN &     NaN \\
+74 &    1833 &          31 &              0 &  260619 &     NaN &     NaN \\
+5  &    1833 &          32 &              0 &  260619 &     NaN &  0.0013 \\
+6  &    1833 &          35 &              0 &  260619 &     NaN &  0.0022 \\
+54 &    1833 &          47 &              1 &   10719 &     NaN &     NaN \\
+55 &    1833 &          53 &              1 &   10719 &     NaN &     NaN \\
+56 &    1833 &          55 &              1 &   10719 &     NaN &     NaN \\
+36 &    1833 &          58 &              1 &   20719 &     NaN &     NaN \\
+37 &    1833 &          59 &              1 &   20719 &     NaN &     NaN \\
+64 &    1833 &          61 &              1 &   20719 &     NaN &  0.0012 \\
+65 &    1833 &          63 &              1 &   20719 &     NaN &     NaN \\
+7  &    1833 &          79 &              1 &  260619 &     NaN &     NaN \\
+75 &    1833 &          86 &              1 &  260619 &     NaN &  0.0029 \\
+46 &    1833 &          89 &              1 &  290519 &  0.0037 &     NaN \\
+47 &    1833 &          91 &              1 &  290519 &     NaN &     NaN \\
+57 &    1833 &          96 &              2 &   10719 &     NaN &     NaN \\
+87 &    1833 &         106 &              2 &   60619 &     NaN &  0.0028 \\
+21 &    1833 &         108 &              2 &   50619 &     NaN &     NaN \\
+48 &    1833 &         117 &              2 &  290519 &     NaN &     NaN \\
+58 &    1833 &         121 &              3 &   10719 &     NaN &     NaN \\
+59 &    1833 &         124 &              3 &   10719 &     NaN &     NaN \\
+60 &    1833 &         128 &              3 &   10719 &     NaN &     NaN \\
+38 &    1833 &         130 &              3 &   20719 &     NaN &     NaN \\
+39 &    1833 &         134 &              3 &   20719 &     NaN &     NaN \\
+40 &    1833 &         135 &              3 &   20719 &     NaN &     NaN \\
+26 &    1833 &         144 &              3 &  120619 &     NaN &     NaN \\
+69 &    1833 &         149 &              3 &  200619 &     NaN &     NaN \\
+8  &    1833 &         150 &              3 &  260619 &     NaN &     NaN \\
+27 &    1833 &         168 &              4 &  120619 &     NaN &  0.0015 \\
+28 &    1833 &         171 &              4 &  120619 &  0.0037 &     NaN \\
+66 &    1833 &         195 &              5 &   20719 &     NaN &  0.0017 \\
+29 &    1833 &         202 &              5 &  120619 &     NaN &     NaN \\
+9  &    1833 &         206 &              5 &  260619 &     NaN &     NaN \\
+76 &    1833 &         210 &              5 &  260619 &     NaN &  0.0030 \\
+85 &    1833 &         218 &              5 &  290519 &     NaN &  0.0017 \\
+23 &    1833 &         231 &              6 &   50619 &     NaN &     NaN \\
+24 &    1833 &         232 &              6 &   50619 &     NaN &     NaN \\
+30 &    1833 &         233 &              6 &  120619 &     NaN &     NaN \\
+25 &    1833 &         234 &              6 &   50619 &  0.0026 &     NaN \\
+82 &    1833 &         240 &              6 &  120619 &     NaN &     NaN \\
+10 &    1833 &         243 &              6 &  260619 &     NaN &     NaN \\
+31 &    1833 &         244 &              6 &  120619 &     NaN &     NaN \\
+83 &    1833 &         248 &              6 &  120619 &     NaN &  0.0033 \\
+84 &    1833 &         249 &              6 &  120619 &     NaN &  0.0010 \\
+42 &    1833 &         253 &              6 &  200619 &     NaN &  0.0011 \\
+43 &    1833 &         254 &              6 &  200619 &     NaN &     NaN \\
+44 &    1833 &         257 &              6 &  200619 &     NaN &     NaN \\
+70 &    1833 &         260 &              6 &  200619 &     NaN &  0.0034 \\
+71 &    1833 &         261 &              6 &  200619 &     NaN &  0.0013 \\
+77 &    1833 &         263 &              6 &  260619 &     NaN &  0.0010 \\
+78 &    1833 &         274 &              6 &  260619 &     NaN &  0.0026 \\
+79 &    1833 &         275 &              6 &  260619 &     NaN &  0.0035 \\
+32 &    1833 &         301 &              7 &  120619 &     NaN &     NaN \\
+45 &    1833 &         304 &              7 &  200619 &     NaN &     NaN \\
+17 &    1834 &         329 &              0 &   10319 &     NaN &     NaN \\
+73 &    1834 &         332 &              0 &   60319 &     NaN &  0.0023 \\
+2  &    1834 &         357 &              2 &  220319 &     NaN &     NaN \\
+3  &    1834 &         358 &              2 &  220319 &     NaN &     NaN \\
+67 &    1834 &         360 &              2 &  220319 &     NaN &  0.0034 \\
+18 &    1834 &         361 &              3 &   10319 &     NaN &     NaN \\
+19 &    1834 &         364 &              3 &   10319 &     NaN &     NaN \\
+12 &    1834 &         381 &              3 &  150319 &     NaN &  0.0043 \\
+4  &    1834 &         482 &              6 &  220319 &     NaN &     NaN \\
+33 &    1834 &         518 &              7 &  110319 &     NaN &     NaN \\
+61 &    1839 &         577 &              1 &  120619 &     NaN &  0.0087 \\
+49 &    1839 &         611 &              5 &  120619 &  0.0008 &     NaN \\
+13 &    1839 &         617 &              5 &  290519 &     NaN &     NaN \\
+50 &    1839 &         629 &              6 &  120619 &  0.0006 &  0.0008 \\
+53 &    1839 &         645 &              6 &  200619 &     NaN &     NaN \\
+0  &    1839 &         655 &              7 &   60619 &     NaN &  0.0003 \\
+52 &    1839 &         656 &              7 &  120619 &  0.0004 &     NaN \\
+62 &    1839 &         659 &              7 &  120619 &     NaN &  0.0005 \\
+63 &    1839 &         660 &              7 &  120619 &     NaN &     NaN \\
+14 &    1839 &         671 &              7 &  290519 &     NaN &     NaN \\
+11 &    1849 &         684 &              0 &  220319 &     NaN &     NaN \\
+1  &    1849 &         715 &              1 &  110319 &  0.0026 &     NaN \\
+15 &    1849 &         724 &              1 &  280219 &     NaN &     NaN \\
+72 &    1849 &         835 &              4 &  150319 &     NaN &  0.0035 \\
+16 &    1849 &         937 &              7 &  280219 &     NaN &     NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.csv b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.csv
new file mode 100644
index 000000000..e08f229ca
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.csv
@@ -0,0 +1,50 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+54,1833,19,0,60619,,0.1405785942
+40,1833,27,0,200619,,0.09646903529999999
+1,1833,34,0,260619,0.1394930253,0.0848117097
+47,1833,40,0,290519,,0.1346936531
+19,1833,42,0,290519,0.1462426879,
+45,1833,84,1,260619,,0.1161702719
+20,1833,89,1,290519,0.1651417429,
+48,1833,94,1,290519,,0.1525134749
+17,1833,112,2,200619,0.3277336133,0.1618083819
+2,1833,113,2,260619,0.3023848808,0.2219185696
+16,1833,120,3,20719,0.32293385329999996,
+38,1833,137,3,20719,,0.2037179628
+41,1833,146,3,200619,,0.20388296120000002
+49,1833,155,3,290519,,0.0723242768
+21,1833,160,3,290519,0.0740962952,
+29,1833,163,4,10719,0.10589470529999999,
+39,1833,167,4,20719,,0.1650533495
+50,1833,184,4,290519,,0.0889341107
+3,1833,188,5,260619,0.4108294585,0.1698086989
+11,1833,196,5,120619,0.2575371231,0.1892531075
+12,1833,203,5,120619,0.13229338529999998,
+46,1833,209,5,260619,,0.1230256149
+52,1833,324,7,290519,,0.0628643714
+13,1834,394,4,60319,0.10109494529999999,
+44,1834,396,4,60319,,0.1228137719
+14,1834,397,4,110319,0.388180591,
+5,1834,401,4,150319,0.062096895199999995,
+0,1834,463,6,120319,0.3598320084,0.1764382356
+23,1839,570,0,200619,0.0404979751,
+24,1839,571,0,200619,0.0466476676,
+31,1839,577,1,120619,,0.0008799912
+32,1839,578,1,120619,,0.0082499175
+53,1839,624,6,60619,,0.0816741833
+22,1839,632,6,120619,0.33013349329999997,
+33,1839,633,6,120619,,0.0831591684
+34,1839,641,6,120619,,0.1039489605
+25,1839,644,6,200619,0.0806959652,
+26,1839,646,6,200619,0.0509974501,
+27,1839,649,6,200619,0.0890955452,
+4,1849,730,1,220319,0.1796910154,
+7,1849,759,2,150319,0.19214039300000002,0.0970740293
+55,1849,762,2,220319,,0.134803652
+35,1849,772,2,280219,,0.2630623694
+42,1849,819,4,60319,,0.1431085689
+43,1849,834,4,150319,,0.112198878
+8,1849,844,4,280219,0.0251987401,
+36,1849,847,4,280219,,0.0432295677
+37,1849,891,5,280219,,0.092399076
+9,1849,919,7,280219,0.0772461377,0.0868441316
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.tex b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.tex
new file mode 100644
index 000000000..f3aa9a8db
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_e_peak.tex
@@ -0,0 +1,55 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+54 &    1833 &          19 &              0 &   60619 &       NaN &  0.140579 \\
+40 &    1833 &          27 &              0 &  200619 &       NaN &  0.096469 \\
+1  &    1833 &          34 &              0 &  260619 &  0.139493 &  0.084812 \\
+47 &    1833 &          40 &              0 &  290519 &       NaN &  0.134694 \\
+19 &    1833 &          42 &              0 &  290519 &  0.146243 &       NaN \\
+45 &    1833 &          84 &              1 &  260619 &       NaN &  0.116170 \\
+20 &    1833 &          89 &              1 &  290519 &  0.165142 &       NaN \\
+48 &    1833 &          94 &              1 &  290519 &       NaN &  0.152513 \\
+17 &    1833 &         112 &              2 &  200619 &  0.327734 &  0.161808 \\
+2  &    1833 &         113 &              2 &  260619 &  0.302385 &  0.221919 \\
+16 &    1833 &         120 &              3 &   20719 &  0.322934 &       NaN \\
+38 &    1833 &         137 &              3 &   20719 &       NaN &  0.203718 \\
+41 &    1833 &         146 &              3 &  200619 &       NaN &  0.203883 \\
+49 &    1833 &         155 &              3 &  290519 &       NaN &  0.072324 \\
+21 &    1833 &         160 &              3 &  290519 &  0.074096 &       NaN \\
+29 &    1833 &         163 &              4 &   10719 &  0.105895 &       NaN \\
+39 &    1833 &         167 &              4 &   20719 &       NaN &  0.165053 \\
+50 &    1833 &         184 &              4 &  290519 &       NaN &  0.088934 \\
+3  &    1833 &         188 &              5 &  260619 &  0.410829 &  0.169809 \\
+11 &    1833 &         196 &              5 &  120619 &  0.257537 &  0.189253 \\
+12 &    1833 &         203 &              5 &  120619 &  0.132293 &       NaN \\
+46 &    1833 &         209 &              5 &  260619 &       NaN &  0.123026 \\
+52 &    1833 &         324 &              7 &  290519 &       NaN &  0.062864 \\
+13 &    1834 &         394 &              4 &   60319 &  0.101095 &       NaN \\
+44 &    1834 &         396 &              4 &   60319 &       NaN &  0.122814 \\
+14 &    1834 &         397 &              4 &  110319 &  0.388181 &       NaN \\
+5  &    1834 &         401 &              4 &  150319 &  0.062097 &       NaN \\
+0  &    1834 &         463 &              6 &  120319 &  0.359832 &  0.176438 \\
+23 &    1839 &         570 &              0 &  200619 &  0.040498 &       NaN \\
+24 &    1839 &         571 &              0 &  200619 &  0.046648 &       NaN \\
+31 &    1839 &         577 &              1 &  120619 &       NaN &  0.000880 \\
+32 &    1839 &         578 &              1 &  120619 &       NaN &  0.008250 \\
+53 &    1839 &         624 &              6 &   60619 &       NaN &  0.081674 \\
+22 &    1839 &         632 &              6 &  120619 &  0.330133 &       NaN \\
+33 &    1839 &         633 &              6 &  120619 &       NaN &  0.083159 \\
+34 &    1839 &         641 &              6 &  120619 &       NaN &  0.103949 \\
+25 &    1839 &         644 &              6 &  200619 &  0.080696 &       NaN \\
+26 &    1839 &         646 &              6 &  200619 &  0.050997 &       NaN \\
+27 &    1839 &         649 &              6 &  200619 &  0.089096 &       NaN \\
+4  &    1849 &         730 &              1 &  220319 &  0.179691 &       NaN \\
+7  &    1849 &         759 &              2 &  150319 &  0.192140 &  0.097074 \\
+55 &    1849 &         762 &              2 &  220319 &       NaN &  0.134804 \\
+35 &    1849 &         772 &              2 &  280219 &       NaN &  0.263062 \\
+42 &    1849 &         819 &              4 &   60319 &       NaN &  0.143109 \\
+43 &    1849 &         834 &              4 &  150319 &       NaN &  0.112199 \\
+8  &    1849 &         844 &              4 &  280219 &  0.025199 &       NaN \\
+36 &    1849 &         847 &              4 &  280219 &       NaN &  0.043230 \\
+37 &    1849 &         891 &              5 &  280219 &       NaN &  0.092399 \\
+9  &    1849 &         919 &              7 &  280219 &  0.077246 &  0.086844 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.csv b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.csv
new file mode 100644
index 000000000..8f7a18b23
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.csv
@@ -0,0 +1,50 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+54,1833,19,0,60619,,0.007699923000000001
+40,1833,27,0,200619,,0.0172698273
+1,1833,34,0,260619,0.0586470676,0.021770346
+47,1833,40,0,290519,,0.0253547465
+19,1833,42,0,290519,0.0377981101,
+45,1833,84,1,260619,,0.0063921441
+20,1833,89,1,290519,0.023548822599999998,
+48,1833,94,1,290519,,0.030744692599999998
+17,1833,112,2,200619,,0.047024529800000006
+2,1833,113,2,260619,,0.0410394182
+16,1833,120,3,20719,0.0395980201,
+38,1833,137,3,20719,,0.0172148279
+41,1833,146,3,200619,,0.020019799799999998
+49,1833,155,3,290519,,0.0164448356
+21,1833,160,3,290519,0.0118494075,
+29,1833,163,4,10719,0.00779961,
+39,1833,167,4,20719,,0.0097349027
+50,1833,184,4,290519,,0.021119788799999997
+3,1833,188,5,260619,0.035098245099999995,0.0048172681
+11,1833,196,5,120619,0.0142492875,0.0046749533000000005
+12,1833,203,5,120619,0.01679916,
+46,1833,209,5,260619,,0.0013895966
+52,1833,324,7,290519,,0.0084149159
+13,1834,394,4,60319,0.012299385,
+44,1834,396,4,60319,,0.0180398196
+14,1834,397,4,110319,0.01859907,
+5,1834,401,4,150319,0.0106494675,
+0,1834,463,6,120319,0.0377981101,0.0097899021
+23,1839,570,0,200619,0.002099895,
+24,1839,571,0,200619,0.00179991,
+31,1839,577,1,120619,,5.4999450005499904e-05
+32,1839,578,1,120619,,0.0022549775
+53,1839,624,6,60619,,0.0004949951000000001
+22,1839,632,6,120619,0.010499475,
+33,1839,633,6,120619,,0.009624903800000001
+34,1839,641,6,120619,,0.0023649764
+25,1839,644,6,200619,0.00239988,
+26,1839,646,6,200619,0.0013499325,
+27,1839,649,6,200619,0.003899805,
+4,1849,730,1,220319,0.023548822599999998,
+7,1849,759,2,150319,0.0337483126,0.012374876299999999
+55,1849,762,2,220319,,0.0109448906
+35,1849,772,2,280219,,0.0202947971
+42,1849,819,4,60319,,0.010009899899999999
+43,1849,834,4,150319,,0.013804862
+8,1849,844,4,280219,0.0007499625,
+36,1849,847,4,280219,,0.0046199538
+37,1849,891,5,280219,,0.004399956
+9,1849,919,7,280219,,0.0207897921
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.tex b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.tex
new file mode 100644
index 000000000..a5976893e
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_p_i_peak.tex
@@ -0,0 +1,55 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+54 &    1833 &          19 &              0 &   60619 &       NaN &  0.007700 \\
+40 &    1833 &          27 &              0 &  200619 &       NaN &  0.017270 \\
+1  &    1833 &          34 &              0 &  260619 &  0.058647 &  0.021770 \\
+47 &    1833 &          40 &              0 &  290519 &       NaN &  0.025355 \\
+19 &    1833 &          42 &              0 &  290519 &  0.037798 &       NaN \\
+45 &    1833 &          84 &              1 &  260619 &       NaN &  0.006392 \\
+20 &    1833 &          89 &              1 &  290519 &  0.023549 &       NaN \\
+48 &    1833 &          94 &              1 &  290519 &       NaN &  0.030745 \\
+17 &    1833 &         112 &              2 &  200619 &       NaN &  0.047025 \\
+2  &    1833 &         113 &              2 &  260619 &       NaN &  0.041039 \\
+16 &    1833 &         120 &              3 &   20719 &  0.039598 &       NaN \\
+38 &    1833 &         137 &              3 &   20719 &       NaN &  0.017215 \\
+41 &    1833 &         146 &              3 &  200619 &       NaN &  0.020020 \\
+49 &    1833 &         155 &              3 &  290519 &       NaN &  0.016445 \\
+21 &    1833 &         160 &              3 &  290519 &  0.011849 &       NaN \\
+29 &    1833 &         163 &              4 &   10719 &  0.007800 &       NaN \\
+39 &    1833 &         167 &              4 &   20719 &       NaN &  0.009735 \\
+50 &    1833 &         184 &              4 &  290519 &       NaN &  0.021120 \\
+3  &    1833 &         188 &              5 &  260619 &  0.035098 &  0.004817 \\
+11 &    1833 &         196 &              5 &  120619 &  0.014249 &  0.004675 \\
+12 &    1833 &         203 &              5 &  120619 &  0.016799 &       NaN \\
+46 &    1833 &         209 &              5 &  260619 &       NaN &  0.001390 \\
+52 &    1833 &         324 &              7 &  290519 &       NaN &  0.008415 \\
+13 &    1834 &         394 &              4 &   60319 &  0.012299 &       NaN \\
+44 &    1834 &         396 &              4 &   60319 &       NaN &  0.018040 \\
+14 &    1834 &         397 &              4 &  110319 &  0.018599 &       NaN \\
+5  &    1834 &         401 &              4 &  150319 &  0.010649 &       NaN \\
+0  &    1834 &         463 &              6 &  120319 &  0.037798 &  0.009790 \\
+23 &    1839 &         570 &              0 &  200619 &  0.002100 &       NaN \\
+24 &    1839 &         571 &              0 &  200619 &  0.001800 &       NaN \\
+31 &    1839 &         577 &              1 &  120619 &       NaN &  0.000055 \\
+32 &    1839 &         578 &              1 &  120619 &       NaN &  0.002255 \\
+53 &    1839 &         624 &              6 &   60619 &       NaN &  0.000495 \\
+22 &    1839 &         632 &              6 &  120619 &  0.010499 &       NaN \\
+33 &    1839 &         633 &              6 &  120619 &       NaN &  0.009625 \\
+34 &    1839 &         641 &              6 &  120619 &       NaN &  0.002365 \\
+25 &    1839 &         644 &              6 &  200619 &  0.002400 &       NaN \\
+26 &    1839 &         646 &              6 &  200619 &  0.001350 &       NaN \\
+27 &    1839 &         649 &              6 &  200619 &  0.003900 &       NaN \\
+4  &    1849 &         730 &              1 &  220319 &  0.023549 &       NaN \\
+7  &    1849 &         759 &              2 &  150319 &  0.033748 &  0.012375 \\
+55 &    1849 &         762 &              2 &  220319 &       NaN &  0.010945 \\
+35 &    1849 &         772 &              2 &  280219 &       NaN &  0.020295 \\
+42 &    1849 &         819 &              4 &   60319 &       NaN &  0.010010 \\
+43 &    1849 &         834 &              4 &  150319 &       NaN &  0.013805 \\
+8  &    1849 &         844 &              4 &  280219 &  0.000750 &       NaN \\
+36 &    1849 &         847 &              4 &  280219 &       NaN &  0.004620 \\
+37 &    1849 &         891 &              5 &  280219 &       NaN &  0.004400 \\
+9  &    1849 &         919 &              7 &  280219 &       NaN &  0.020790 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.csv b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.csv
new file mode 100644
index 000000000..209f80aa4
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.csv
@@ -0,0 +1,50 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+54,1833,19,0,60619,,0.0115
+40,1833,27,0,200619,,0.0095
+1,1833,34,0,260619,0.0086,0.0098
+47,1833,40,0,290519,,0.0238
+19,1833,42,0,290519,0.0089,
+45,1833,84,1,260619,,0.0102
+20,1833,89,1,290519,0.0093,
+48,1833,94,1,290519,,0.0239
+17,1833,112,2,200619,0.0088,0.0097
+2,1833,113,2,260619,0.0088,0.0099
+16,1833,120,3,20719,0.0094,
+38,1833,137,3,20719,,0.0101
+41,1833,146,3,200619,,0.0225
+49,1833,155,3,290519,,0.0231
+21,1833,160,3,290519,0.0087,
+29,1833,163,4,10719,0.0092,
+39,1833,167,4,20719,,0.0094
+50,1833,184,4,290519,,0.0261
+3,1833,188,5,260619,0.0091,0.0104
+11,1833,196,5,120619,0.0095,0.01
+12,1833,203,5,120619,0.009000000000000001,
+46,1833,209,5,260619,,0.0103
+52,1833,324,7,290519,,0.0267
+13,1834,394,4,60319,0.009000000000000001,
+44,1834,396,4,60319,,0.0096
+14,1834,397,4,110319,0.0099,
+5,1834,401,4,150319,0.0097,
+0,1834,463,6,120319,0.0115,0.0143
+23,1839,570,0,200619,0.0078,
+24,1839,571,0,200619,0.0078,
+31,1839,577,1,120619,,0.0201
+32,1839,578,1,120619,,0.0256
+53,1839,624,6,60619,,0.0092
+22,1839,632,6,120619,0.0086,
+33,1839,633,6,120619,,0.0093
+34,1839,641,6,120619,,0.0091
+25,1839,644,6,200619,0.0086,
+26,1839,646,6,200619,0.0089,
+27,1839,649,6,200619,0.0093,
+4,1849,730,1,220319,0.0101,
+7,1849,759,2,150319,0.0096,0.0102
+55,1849,762,2,220319,,0.0108
+35,1849,772,2,280219,,0.0096
+42,1849,819,4,60319,,0.0125
+43,1849,834,4,150319,,0.0146
+8,1849,844,4,280219,0.0093,
+36,1849,847,4,280219,,0.0106
+37,1849,891,5,280219,,0.0104
+9,1849,919,7,280219,0.0055,0.0267
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.tex b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.tex
new file mode 100644
index 000000000..59ec6f453
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_e_peak.tex
@@ -0,0 +1,55 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+54 &    1833 &          19 &              0 &   60619 &     NaN &  0.0115 \\
+40 &    1833 &          27 &              0 &  200619 &     NaN &  0.0095 \\
+1  &    1833 &          34 &              0 &  260619 &  0.0086 &  0.0098 \\
+47 &    1833 &          40 &              0 &  290519 &     NaN &  0.0238 \\
+19 &    1833 &          42 &              0 &  290519 &  0.0089 &     NaN \\
+45 &    1833 &          84 &              1 &  260619 &     NaN &  0.0102 \\
+20 &    1833 &          89 &              1 &  290519 &  0.0093 &     NaN \\
+48 &    1833 &          94 &              1 &  290519 &     NaN &  0.0239 \\
+17 &    1833 &         112 &              2 &  200619 &  0.0088 &  0.0097 \\
+2  &    1833 &         113 &              2 &  260619 &  0.0088 &  0.0099 \\
+16 &    1833 &         120 &              3 &   20719 &  0.0094 &     NaN \\
+38 &    1833 &         137 &              3 &   20719 &     NaN &  0.0101 \\
+41 &    1833 &         146 &              3 &  200619 &     NaN &  0.0225 \\
+49 &    1833 &         155 &              3 &  290519 &     NaN &  0.0231 \\
+21 &    1833 &         160 &              3 &  290519 &  0.0087 &     NaN \\
+29 &    1833 &         163 &              4 &   10719 &  0.0092 &     NaN \\
+39 &    1833 &         167 &              4 &   20719 &     NaN &  0.0094 \\
+50 &    1833 &         184 &              4 &  290519 &     NaN &  0.0261 \\
+3  &    1833 &         188 &              5 &  260619 &  0.0091 &  0.0104 \\
+11 &    1833 &         196 &              5 &  120619 &  0.0095 &  0.0100 \\
+12 &    1833 &         203 &              5 &  120619 &  0.0090 &     NaN \\
+46 &    1833 &         209 &              5 &  260619 &     NaN &  0.0103 \\
+52 &    1833 &         324 &              7 &  290519 &     NaN &  0.0267 \\
+13 &    1834 &         394 &              4 &   60319 &  0.0090 &     NaN \\
+44 &    1834 &         396 &              4 &   60319 &     NaN &  0.0096 \\
+14 &    1834 &         397 &              4 &  110319 &  0.0099 &     NaN \\
+5  &    1834 &         401 &              4 &  150319 &  0.0097 &     NaN \\
+0  &    1834 &         463 &              6 &  120319 &  0.0115 &  0.0143 \\
+23 &    1839 &         570 &              0 &  200619 &  0.0078 &     NaN \\
+24 &    1839 &         571 &              0 &  200619 &  0.0078 &     NaN \\
+31 &    1839 &         577 &              1 &  120619 &     NaN &  0.0201 \\
+32 &    1839 &         578 &              1 &  120619 &     NaN &  0.0256 \\
+53 &    1839 &         624 &              6 &   60619 &     NaN &  0.0092 \\
+22 &    1839 &         632 &              6 &  120619 &  0.0086 &     NaN \\
+33 &    1839 &         633 &              6 &  120619 &     NaN &  0.0093 \\
+34 &    1839 &         641 &              6 &  120619 &     NaN &  0.0091 \\
+25 &    1839 &         644 &              6 &  200619 &  0.0086 &     NaN \\
+26 &    1839 &         646 &              6 &  200619 &  0.0089 &     NaN \\
+27 &    1839 &         649 &              6 &  200619 &  0.0093 &     NaN \\
+4  &    1849 &         730 &              1 &  220319 &  0.0101 &     NaN \\
+7  &    1849 &         759 &              2 &  150319 &  0.0096 &  0.0102 \\
+55 &    1849 &         762 &              2 &  220319 &     NaN &  0.0108 \\
+35 &    1849 &         772 &              2 &  280219 &     NaN &  0.0096 \\
+42 &    1849 &         819 &              4 &   60319 &     NaN &  0.0125 \\
+43 &    1849 &         834 &              4 &  150319 &     NaN &  0.0146 \\
+8  &    1849 &         844 &              4 &  280219 &  0.0093 &     NaN \\
+36 &    1849 &         847 &              4 &  280219 &     NaN &  0.0106 \\
+37 &    1849 &         891 &              5 &  280219 &     NaN &  0.0104 \\
+9  &    1849 &         919 &              7 &  280219 &  0.0055 &  0.0267 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.csv b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.csv
new file mode 100644
index 000000000..b519de041
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.csv
@@ -0,0 +1,50 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+54,1833,19,0,60619,,0.0055
+40,1833,27,0,200619,,0.0047
+1,1833,34,0,260619,0.0041,0.0052
+47,1833,40,0,290519,,0.0031
+19,1833,42,0,290519,0.0038,
+45,1833,84,1,260619,,0.0039
+20,1833,89,1,290519,0.0037,
+48,1833,94,1,290519,,0.0005
+17,1833,112,2,200619,,0.0043
+2,1833,113,2,260619,,0.0043
+16,1833,120,3,20719,0.0038,
+38,1833,137,3,20719,,0.0045
+41,1833,146,3,200619,,0.0051
+49,1833,155,3,290519,,0.0017
+21,1833,160,3,290519,0.0036,
+29,1833,163,4,10719,0.0046,
+39,1833,167,4,20719,,0.0035
+50,1833,184,4,290519,,0.0213
+3,1833,188,5,260619,0.0038,0.0044
+11,1833,196,5,120619,0.0044,0.0046
+12,1833,203,5,120619,0.0036,
+46,1833,209,5,260619,,0.0037
+52,1833,324,7,290519,,0.0217
+13,1834,394,4,60319,0.0045,
+44,1834,396,4,60319,,0.0052
+14,1834,397,4,110319,0.0053,
+5,1834,401,4,150319,0.0045,
+0,1834,463,6,120319,0.0048,0.0052
+23,1839,570,0,200619,0.0041,
+24,1839,571,0,200619,0.0035,
+31,1839,577,1,120619,,0.0087
+32,1839,578,1,120619,,0.006
+53,1839,624,6,60619,,0.0037
+22,1839,632,6,120619,0.004,
+33,1839,633,6,120619,,0.0045
+34,1839,641,6,120619,,0.0038
+25,1839,644,6,200619,0.0036,
+26,1839,646,6,200619,0.0038,
+27,1839,649,6,200619,0.0035,
+4,1849,730,1,220319,0.0048,
+7,1849,759,2,150319,0.0045,0.0043
+55,1849,762,2,220319,,0.0051
+35,1849,772,2,280219,,0.0049
+42,1849,819,4,60319,,0.0042
+43,1849,834,4,150319,,0.0043
+8,1849,844,4,280219,0.0025,
+36,1849,847,4,280219,,0.0049
+37,1849,891,5,280219,,0.0046
+9,1849,919,7,280219,,0.0156
diff --git a/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.tex b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.tex
new file mode 100644
index 000000000..e875e473a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_inhibited_t_i_peak.tex
@@ -0,0 +1,55 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+54 &    1833 &          19 &              0 &   60619 &     NaN &  0.0055 \\
+40 &    1833 &          27 &              0 &  200619 &     NaN &  0.0047 \\
+1  &    1833 &          34 &              0 &  260619 &  0.0041 &  0.0052 \\
+47 &    1833 &          40 &              0 &  290519 &     NaN &  0.0031 \\
+19 &    1833 &          42 &              0 &  290519 &  0.0038 &     NaN \\
+45 &    1833 &          84 &              1 &  260619 &     NaN &  0.0039 \\
+20 &    1833 &          89 &              1 &  290519 &  0.0037 &     NaN \\
+48 &    1833 &          94 &              1 &  290519 &     NaN &  0.0005 \\
+17 &    1833 &         112 &              2 &  200619 &     NaN &  0.0043 \\
+2  &    1833 &         113 &              2 &  260619 &     NaN &  0.0043 \\
+16 &    1833 &         120 &              3 &   20719 &  0.0038 &     NaN \\
+38 &    1833 &         137 &              3 &   20719 &     NaN &  0.0045 \\
+41 &    1833 &         146 &              3 &  200619 &     NaN &  0.0051 \\
+49 &    1833 &         155 &              3 &  290519 &     NaN &  0.0017 \\
+21 &    1833 &         160 &              3 &  290519 &  0.0036 &     NaN \\
+29 &    1833 &         163 &              4 &   10719 &  0.0046 &     NaN \\
+39 &    1833 &         167 &              4 &   20719 &     NaN &  0.0035 \\
+50 &    1833 &         184 &              4 &  290519 &     NaN &  0.0213 \\
+3  &    1833 &         188 &              5 &  260619 &  0.0038 &  0.0044 \\
+11 &    1833 &         196 &              5 &  120619 &  0.0044 &  0.0046 \\
+12 &    1833 &         203 &              5 &  120619 &  0.0036 &     NaN \\
+46 &    1833 &         209 &              5 &  260619 &     NaN &  0.0037 \\
+52 &    1833 &         324 &              7 &  290519 &     NaN &  0.0217 \\
+13 &    1834 &         394 &              4 &   60319 &  0.0045 &     NaN \\
+44 &    1834 &         396 &              4 &   60319 &     NaN &  0.0052 \\
+14 &    1834 &         397 &              4 &  110319 &  0.0053 &     NaN \\
+5  &    1834 &         401 &              4 &  150319 &  0.0045 &     NaN \\
+0  &    1834 &         463 &              6 &  120319 &  0.0048 &  0.0052 \\
+23 &    1839 &         570 &              0 &  200619 &  0.0041 &     NaN \\
+24 &    1839 &         571 &              0 &  200619 &  0.0035 &     NaN \\
+31 &    1839 &         577 &              1 &  120619 &     NaN &  0.0087 \\
+32 &    1839 &         578 &              1 &  120619 &     NaN &  0.0060 \\
+53 &    1839 &         624 &              6 &   60619 &     NaN &  0.0037 \\
+22 &    1839 &         632 &              6 &  120619 &  0.0040 &     NaN \\
+33 &    1839 &         633 &              6 &  120619 &     NaN &  0.0045 \\
+34 &    1839 &         641 &              6 &  120619 &     NaN &  0.0038 \\
+25 &    1839 &         644 &              6 &  200619 &  0.0036 &     NaN \\
+26 &    1839 &         646 &              6 &  200619 &  0.0038 &     NaN \\
+27 &    1839 &         649 &              6 &  200619 &  0.0035 &     NaN \\
+4  &    1849 &         730 &              1 &  220319 &  0.0048 &     NaN \\
+7  &    1849 &         759 &              2 &  150319 &  0.0045 &  0.0043 \\
+55 &    1849 &         762 &              2 &  220319 &     NaN &  0.0051 \\
+35 &    1849 &         772 &              2 &  280219 &     NaN &  0.0049 \\
+42 &    1849 &         819 &              4 &   60319 &     NaN &  0.0042 \\
+43 &    1849 &         834 &              4 &  150319 &     NaN &  0.0043 \\
+8  &    1849 &         844 &              4 &  280219 &  0.0025 &     NaN \\
+36 &    1849 &         847 &              4 &  280219 &     NaN &  0.0049 \\
+37 &    1849 &         891 &              5 &  280219 &     NaN &  0.0046 \\
+9  &    1849 &         919 &              7 &  280219 &     NaN &  0.0156 \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.csv b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.csv
new file mode 100644
index 000000000..bda2e5cd4
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.csv
@@ -0,0 +1,41 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+30,1833,5,0,10719,0.2966851657,
+18,1833,11,0,20719,0.3314834258,0.19557804420000002
+12,1833,22,0,120619,0.0362981851,
+20,1833,25,0,200619,0.216439178,0.1660433396
+35,1833,31,0,260619,,0.022465144300000003
+2,1833,33,0,260619,0.3115344233,0.1647598314
+36,1833,39,0,290519,,0.1113188868
+3,1833,44,1,260619,0.2488375581,
+19,1833,52,1,20719,0.2294885256,
+8,1833,65,1,50619,0.2924853757,
+40,1833,71,1,60619,,0.18606313940000002
+13,1833,73,1,120619,0.1688915554,
+32,1833,97,2,10719,0.3155842208,
+9,1833,107,2,50619,0.001499925,
+10,1833,108,2,50619,0.0287985601,
+14,1833,109,2,120619,0.1618419079,
+34,1833,111,2,200619,,0.0800241998
+11,1833,141,3,50619,0.2383380831,
+15,1833,143,3,120619,0.0115494225,
+21,1833,147,3,200619,0.184040798,
+37,1833,157,3,290519,,0.0062149379
+38,1833,161,3,290519,,0.0024199758
+22,1833,180,4,290519,0.1454927254,
+23,1833,181,4,290519,0.219739013,
+24,1833,182,4,290519,0.0070496475,
+16,1833,201,5,120619,0.17894105289999998,
+25,1833,215,5,290519,0.0362981851,
+33,1833,229,6,20719,,0.002199978
+26,1833,318,7,290519,,
+27,1833,319,7,290519,0.0059997,
+28,1833,320,7,290519,0.0076496175,
+29,1833,321,7,290519,0.13844307779999998,
+0,1834,403,4,220319,0.1973901305,
+1,1834,497,7,220319,0.205939703,0.2009129909
+5,1839,573,0,290519,0.06719664019999999,
+39,1839,625,6,60619,,0.0424595754
+17,1849,821,4,60319,0.0332983351,
+6,1849,831,4,150319,0.2678866057,
+4,1849,841,4,220319,0.25228738559999997,
+7,1849,911,6,280219,0.06104694769999999,
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.tex b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.tex
new file mode 100644
index 000000000..53f4b69c2
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_e_peak.tex
@@ -0,0 +1,46 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &     11 Hz &     30 HZ \\
+\midrule
+30 &    1833 &           5 &              0 &   10719 &  0.296685 &       NaN \\
+18 &    1833 &          11 &              0 &   20719 &  0.331483 &  0.195578 \\
+12 &    1833 &          22 &              0 &  120619 &  0.036298 &       NaN \\
+20 &    1833 &          25 &              0 &  200619 &  0.216439 &  0.166043 \\
+35 &    1833 &          31 &              0 &  260619 &       NaN &  0.022465 \\
+2  &    1833 &          33 &              0 &  260619 &  0.311534 &  0.164760 \\
+36 &    1833 &          39 &              0 &  290519 &       NaN &  0.111319 \\
+3  &    1833 &          44 &              1 &  260619 &  0.248838 &       NaN \\
+19 &    1833 &          52 &              1 &   20719 &  0.229489 &       NaN \\
+8  &    1833 &          65 &              1 &   50619 &  0.292485 &       NaN \\
+40 &    1833 &          71 &              1 &   60619 &       NaN &  0.186063 \\
+13 &    1833 &          73 &              1 &  120619 &  0.168892 &       NaN \\
+32 &    1833 &          97 &              2 &   10719 &  0.315584 &       NaN \\
+9  &    1833 &         107 &              2 &   50619 &  0.001500 &       NaN \\
+10 &    1833 &         108 &              2 &   50619 &  0.028799 &       NaN \\
+14 &    1833 &         109 &              2 &  120619 &  0.161842 &       NaN \\
+34 &    1833 &         111 &              2 &  200619 &       NaN &  0.080024 \\
+11 &    1833 &         141 &              3 &   50619 &  0.238338 &       NaN \\
+15 &    1833 &         143 &              3 &  120619 &  0.011549 &       NaN \\
+21 &    1833 &         147 &              3 &  200619 &  0.184041 &       NaN \\
+37 &    1833 &         157 &              3 &  290519 &       NaN &  0.006215 \\
+38 &    1833 &         161 &              3 &  290519 &       NaN &  0.002420 \\
+22 &    1833 &         180 &              4 &  290519 &  0.145493 &       NaN \\
+23 &    1833 &         181 &              4 &  290519 &  0.219739 &       NaN \\
+24 &    1833 &         182 &              4 &  290519 &  0.007050 &       NaN \\
+16 &    1833 &         201 &              5 &  120619 &  0.178941 &       NaN \\
+25 &    1833 &         215 &              5 &  290519 &  0.036298 &       NaN \\
+33 &    1833 &         229 &              6 &   20719 &       NaN &  0.002200 \\
+26 &    1833 &         318 &              7 &  290519 &       NaN &       NaN \\
+27 &    1833 &         319 &              7 &  290519 &  0.006000 &       NaN \\
+28 &    1833 &         320 &              7 &  290519 &  0.007650 &       NaN \\
+29 &    1833 &         321 &              7 &  290519 &  0.138443 &       NaN \\
+0  &    1834 &         403 &              4 &  220319 &  0.197390 &       NaN \\
+1  &    1834 &         497 &              7 &  220319 &  0.205940 &  0.200913 \\
+5  &    1839 &         573 &              0 &  290519 &  0.067197 &       NaN \\
+39 &    1839 &         625 &              6 &   60619 &       NaN &  0.042460 \\
+17 &    1849 &         821 &              4 &   60319 &  0.033298 &       NaN \\
+6  &    1849 &         831 &              4 &  150319 &  0.267887 &       NaN \\
+4  &    1849 &         841 &              4 &  220319 &  0.252287 &       NaN \\
+7  &    1849 &         911 &              6 &  280219 &  0.061047 &       NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.csv b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.csv
new file mode 100644
index 000000000..0cbfb5e5a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.csv
@@ -0,0 +1,41 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+30,1833,5,0,10719,,
+18,1833,11,0,20719,,
+12,1833,22,0,120619,,
+20,1833,25,0,200619,,
+35,1833,31,0,260619,,
+2,1833,33,0,260619,,
+36,1833,39,0,290519,,
+3,1833,44,1,260619,,
+19,1833,52,1,20719,,
+8,1833,65,1,50619,,
+40,1833,71,1,60619,,
+13,1833,73,1,120619,,
+32,1833,97,2,10719,,
+9,1833,107,2,50619,,
+10,1833,108,2,50619,,
+14,1833,109,2,120619,,
+34,1833,111,2,200619,,
+11,1833,141,3,50619,,
+15,1833,143,3,120619,,
+21,1833,147,3,200619,,
+37,1833,157,3,290519,,
+38,1833,161,3,290519,,
+22,1833,180,4,290519,,
+23,1833,181,4,290519,,
+24,1833,182,4,290519,,
+16,1833,201,5,120619,,
+25,1833,215,5,290519,,
+33,1833,229,6,20719,,
+26,1833,318,7,290519,,
+27,1833,319,7,290519,,
+28,1833,320,7,290519,,
+29,1833,321,7,290519,,
+0,1834,403,4,220319,,
+1,1834,497,7,220319,,
+5,1839,573,0,290519,,
+39,1839,625,6,60619,,
+17,1849,821,4,60319,,
+6,1849,831,4,150319,,
+4,1849,841,4,220319,,
+7,1849,911,6,280219,,
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.tex b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.tex
new file mode 100644
index 000000000..ed2a04b1a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_p_i_peak.tex
@@ -0,0 +1,46 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &  11 Hz &  30 HZ \\
+\midrule
+30 &    1833 &           5 &              0 &   10719 &    NaN &    NaN \\
+18 &    1833 &          11 &              0 &   20719 &    NaN &    NaN \\
+12 &    1833 &          22 &              0 &  120619 &    NaN &    NaN \\
+20 &    1833 &          25 &              0 &  200619 &    NaN &    NaN \\
+35 &    1833 &          31 &              0 &  260619 &    NaN &    NaN \\
+2  &    1833 &          33 &              0 &  260619 &    NaN &    NaN \\
+36 &    1833 &          39 &              0 &  290519 &    NaN &    NaN \\
+3  &    1833 &          44 &              1 &  260619 &    NaN &    NaN \\
+19 &    1833 &          52 &              1 &   20719 &    NaN &    NaN \\
+8  &    1833 &          65 &              1 &   50619 &    NaN &    NaN \\
+40 &    1833 &          71 &              1 &   60619 &    NaN &    NaN \\
+13 &    1833 &          73 &              1 &  120619 &    NaN &    NaN \\
+32 &    1833 &          97 &              2 &   10719 &    NaN &    NaN \\
+9  &    1833 &         107 &              2 &   50619 &    NaN &    NaN \\
+10 &    1833 &         108 &              2 &   50619 &    NaN &    NaN \\
+14 &    1833 &         109 &              2 &  120619 &    NaN &    NaN \\
+34 &    1833 &         111 &              2 &  200619 &    NaN &    NaN \\
+11 &    1833 &         141 &              3 &   50619 &    NaN &    NaN \\
+15 &    1833 &         143 &              3 &  120619 &    NaN &    NaN \\
+21 &    1833 &         147 &              3 &  200619 &    NaN &    NaN \\
+37 &    1833 &         157 &              3 &  290519 &    NaN &    NaN \\
+38 &    1833 &         161 &              3 &  290519 &    NaN &    NaN \\
+22 &    1833 &         180 &              4 &  290519 &    NaN &    NaN \\
+23 &    1833 &         181 &              4 &  290519 &    NaN &    NaN \\
+24 &    1833 &         182 &              4 &  290519 &    NaN &    NaN \\
+16 &    1833 &         201 &              5 &  120619 &    NaN &    NaN \\
+25 &    1833 &         215 &              5 &  290519 &    NaN &    NaN \\
+33 &    1833 &         229 &              6 &   20719 &    NaN &    NaN \\
+26 &    1833 &         318 &              7 &  290519 &    NaN &    NaN \\
+27 &    1833 &         319 &              7 &  290519 &    NaN &    NaN \\
+28 &    1833 &         320 &              7 &  290519 &    NaN &    NaN \\
+29 &    1833 &         321 &              7 &  290519 &    NaN &    NaN \\
+0  &    1834 &         403 &              4 &  220319 &    NaN &    NaN \\
+1  &    1834 &         497 &              7 &  220319 &    NaN &    NaN \\
+5  &    1839 &         573 &              0 &  290519 &    NaN &    NaN \\
+39 &    1839 &         625 &              6 &   60619 &    NaN &    NaN \\
+17 &    1849 &         821 &              4 &   60319 &    NaN &    NaN \\
+6  &    1849 &         831 &              4 &  150319 &    NaN &    NaN \\
+4  &    1849 &         841 &              4 &  220319 &    NaN &    NaN \\
+7  &    1849 &         911 &              6 &  280219 &    NaN &    NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.csv b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.csv
new file mode 100644
index 000000000..2a1bfe630
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.csv
@@ -0,0 +1,41 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+30,1833,5,0,10719,0.0076,
+18,1833,11,0,20719,0.0078,0.0094
+12,1833,22,0,120619,0.0095,
+20,1833,25,0,200619,0.0072,0.0095
+35,1833,31,0,260619,,0.0094
+2,1833,33,0,260619,0.0074,0.0095
+36,1833,39,0,290519,,0.0236
+3,1833,44,1,260619,0.0088,
+19,1833,52,1,20719,0.0088,
+8,1833,65,1,50619,0.0093,
+40,1833,71,1,60619,,0.0096
+13,1833,73,1,120619,0.0084,
+32,1833,97,2,10719,0.0092,
+9,1833,107,2,50619,0.0086,
+10,1833,108,2,50619,0.0091,
+14,1833,109,2,120619,0.0061,
+34,1833,111,2,200619,,0.0097
+11,1833,141,3,50619,0.0056,
+15,1833,143,3,120619,0.0082,
+21,1833,147,3,200619,0.0091,
+37,1833,157,3,290519,,0.0053
+38,1833,161,3,290519,,0.0224
+22,1833,180,4,290519,0.0057,
+23,1833,181,4,290519,0.0057,
+24,1833,182,4,290519,0.0058,
+16,1833,201,5,120619,0.0092,
+25,1833,215,5,290519,0.0054,
+33,1833,229,6,20719,,0.0051
+26,1833,318,7,290519,,
+27,1833,319,7,290519,0.0035,
+28,1833,320,7,290519,0.0031,
+29,1833,321,7,290519,0.0055,
+0,1834,403,4,220319,0.0092,
+1,1834,497,7,220319,0.0095,0.0115
+5,1839,573,0,290519,0.0086,
+39,1839,625,6,60619,,0.0097
+17,1849,821,4,60319,0.0092,
+6,1849,831,4,150319,0.0095,
+4,1849,841,4,220319,0.0096,
+7,1849,911,6,280219,0.0051,
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.tex b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.tex
new file mode 100644
index 000000000..4e802dbc2
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_e_peak.tex
@@ -0,0 +1,46 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &   11 Hz &   30 HZ \\
+\midrule
+30 &    1833 &           5 &              0 &   10719 &  0.0076 &     NaN \\
+18 &    1833 &          11 &              0 &   20719 &  0.0078 &  0.0094 \\
+12 &    1833 &          22 &              0 &  120619 &  0.0095 &     NaN \\
+20 &    1833 &          25 &              0 &  200619 &  0.0072 &  0.0095 \\
+35 &    1833 &          31 &              0 &  260619 &     NaN &  0.0094 \\
+2  &    1833 &          33 &              0 &  260619 &  0.0074 &  0.0095 \\
+36 &    1833 &          39 &              0 &  290519 &     NaN &  0.0236 \\
+3  &    1833 &          44 &              1 &  260619 &  0.0088 &     NaN \\
+19 &    1833 &          52 &              1 &   20719 &  0.0088 &     NaN \\
+8  &    1833 &          65 &              1 &   50619 &  0.0093 &     NaN \\
+40 &    1833 &          71 &              1 &   60619 &     NaN &  0.0096 \\
+13 &    1833 &          73 &              1 &  120619 &  0.0084 &     NaN \\
+32 &    1833 &          97 &              2 &   10719 &  0.0092 &     NaN \\
+9  &    1833 &         107 &              2 &   50619 &  0.0086 &     NaN \\
+10 &    1833 &         108 &              2 &   50619 &  0.0091 &     NaN \\
+14 &    1833 &         109 &              2 &  120619 &  0.0061 &     NaN \\
+34 &    1833 &         111 &              2 &  200619 &     NaN &  0.0097 \\
+11 &    1833 &         141 &              3 &   50619 &  0.0056 &     NaN \\
+15 &    1833 &         143 &              3 &  120619 &  0.0082 &     NaN \\
+21 &    1833 &         147 &              3 &  200619 &  0.0091 &     NaN \\
+37 &    1833 &         157 &              3 &  290519 &     NaN &  0.0053 \\
+38 &    1833 &         161 &              3 &  290519 &     NaN &  0.0224 \\
+22 &    1833 &         180 &              4 &  290519 &  0.0057 &     NaN \\
+23 &    1833 &         181 &              4 &  290519 &  0.0057 &     NaN \\
+24 &    1833 &         182 &              4 &  290519 &  0.0058 &     NaN \\
+16 &    1833 &         201 &              5 &  120619 &  0.0092 &     NaN \\
+25 &    1833 &         215 &              5 &  290519 &  0.0054 &     NaN \\
+33 &    1833 &         229 &              6 &   20719 &     NaN &  0.0051 \\
+26 &    1833 &         318 &              7 &  290519 &     NaN &     NaN \\
+27 &    1833 &         319 &              7 &  290519 &  0.0035 &     NaN \\
+28 &    1833 &         320 &              7 &  290519 &  0.0031 &     NaN \\
+29 &    1833 &         321 &              7 &  290519 &  0.0055 &     NaN \\
+0  &    1834 &         403 &              4 &  220319 &  0.0092 &     NaN \\
+1  &    1834 &         497 &              7 &  220319 &  0.0095 &  0.0115 \\
+5  &    1839 &         573 &              0 &  290519 &  0.0086 &     NaN \\
+39 &    1839 &         625 &              6 &   60619 &     NaN &  0.0097 \\
+17 &    1849 &         821 &              4 &   60319 &  0.0092 &     NaN \\
+6  &    1849 &         831 &              4 &  150319 &  0.0095 &     NaN \\
+4  &    1849 &         841 &              4 &  220319 &  0.0096 &     NaN \\
+7  &    1849 &         911 &              6 &  280219 &  0.0051 &     NaN \\
+\bottomrule
+\end{tabular}
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.csv b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.csv
new file mode 100644
index 000000000..0cbfb5e5a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.csv
@@ -0,0 +1,41 @@
+,entity,unit_idnum,channel_group,date,11 Hz,30 HZ
+30,1833,5,0,10719,,
+18,1833,11,0,20719,,
+12,1833,22,0,120619,,
+20,1833,25,0,200619,,
+35,1833,31,0,260619,,
+2,1833,33,0,260619,,
+36,1833,39,0,290519,,
+3,1833,44,1,260619,,
+19,1833,52,1,20719,,
+8,1833,65,1,50619,,
+40,1833,71,1,60619,,
+13,1833,73,1,120619,,
+32,1833,97,2,10719,,
+9,1833,107,2,50619,,
+10,1833,108,2,50619,,
+14,1833,109,2,120619,,
+34,1833,111,2,200619,,
+11,1833,141,3,50619,,
+15,1833,143,3,120619,,
+21,1833,147,3,200619,,
+37,1833,157,3,290519,,
+38,1833,161,3,290519,,
+22,1833,180,4,290519,,
+23,1833,181,4,290519,,
+24,1833,182,4,290519,,
+16,1833,201,5,120619,,
+25,1833,215,5,290519,,
+33,1833,229,6,20719,,
+26,1833,318,7,290519,,
+27,1833,319,7,290519,,
+28,1833,320,7,290519,,
+29,1833,321,7,290519,,
+0,1834,403,4,220319,,
+1,1834,497,7,220319,,
+5,1839,573,0,290519,,
+39,1839,625,6,60619,,
+17,1849,821,4,60319,,
+6,1849,831,4,150319,,
+4,1849,841,4,220319,,
+7,1849,911,6,280219,,
diff --git a/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.tex b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.tex
new file mode 100644
index 000000000..ed2a04b1a
--- /dev/null
+++ b/actions/stimulus-response/data/statistics/values_ns_not_inhibited_t_i_peak.tex
@@ -0,0 +1,46 @@
+\begin{tabular}{lrrrrrr}
+\toprule
+{} &  entity &  unit\_idnum &  channel\_group &    date &  11 Hz &  30 HZ \\
+\midrule
+30 &    1833 &           5 &              0 &   10719 &    NaN &    NaN \\
+18 &    1833 &          11 &              0 &   20719 &    NaN &    NaN \\
+12 &    1833 &          22 &              0 &  120619 &    NaN &    NaN \\
+20 &    1833 &          25 &              0 &  200619 &    NaN &    NaN \\
+35 &    1833 &          31 &              0 &  260619 &    NaN &    NaN \\
+2  &    1833 &          33 &              0 &  260619 &    NaN &    NaN \\
+36 &    1833 &          39 &              0 &  290519 &    NaN &    NaN \\
+3  &    1833 &          44 &              1 &  260619 &    NaN &    NaN \\
+19 &    1833 &          52 &              1 &   20719 &    NaN &    NaN \\
+8  &    1833 &          65 &              1 &   50619 &    NaN &    NaN \\
+40 &    1833 &          71 &              1 &   60619 &    NaN &    NaN \\
+13 &    1833 &          73 &              1 &  120619 &    NaN &    NaN \\
+32 &    1833 &          97 &              2 &   10719 &    NaN &    NaN \\
+9  &    1833 &         107 &              2 &   50619 &    NaN &    NaN \\
+10 &    1833 &         108 &              2 &   50619 &    NaN &    NaN \\
+14 &    1833 &         109 &              2 &  120619 &    NaN &    NaN \\
+34 &    1833 &         111 &              2 &  200619 &    NaN &    NaN \\
+11 &    1833 &         141 &              3 &   50619 &    NaN &    NaN \\
+15 &    1833 &         143 &              3 &  120619 &    NaN &    NaN \\
+21 &    1833 &         147 &              3 &  200619 &    NaN &    NaN \\
+37 &    1833 &         157 &              3 &  290519 &    NaN &    NaN \\
+38 &    1833 &         161 &              3 &  290519 &    NaN &    NaN \\
+22 &    1833 &         180 &              4 &  290519 &    NaN &    NaN \\
+23 &    1833 &         181 &              4 &  290519 &    NaN &    NaN \\
+24 &    1833 &         182 &              4 &  290519 &    NaN &    NaN \\
+16 &    1833 &         201 &              5 &  120619 &    NaN &    NaN \\
+25 &    1833 &         215 &              5 &  290519 &    NaN &    NaN \\
+33 &    1833 &         229 &              6 &   20719 &    NaN &    NaN \\
+26 &    1833 &         318 &              7 &  290519 &    NaN &    NaN \\
+27 &    1833 &         319 &              7 &  290519 &    NaN &    NaN \\
+28 &    1833 &         320 &              7 &  290519 &    NaN &    NaN \\
+29 &    1833 &         321 &              7 &  290519 &    NaN &    NaN \\
+0  &    1834 &         403 &              4 &  220319 &    NaN &    NaN \\
+1  &    1834 &         497 &              7 &  220319 &    NaN &    NaN \\
+5  &    1839 &         573 &              0 &  290519 &    NaN &    NaN \\
+39 &    1839 &         625 &              6 &   60619 &    NaN &    NaN \\
+17 &    1849 &         821 &              4 &   60319 &    NaN &    NaN \\
+6  &    1849 &         831 &              4 &  150319 &    NaN &    NaN \\
+4  &    1849 &         841 &              4 &  220319 &    NaN &    NaN \\
+7  &    1849 &         911 &              6 &  280219 &    NaN &    NaN \\
+\bottomrule
+\end{tabular}