Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summary
notebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics
notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "29" csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 255 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_ Found 248 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2459810 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459809 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.336352 | -0.032819 | 0.392325 | -0.170792 | 5.842510 | 5.986716 | 1.633733 | 1.559297 | 0.8170 | 0.5611 | 0.5629 | 3.518575 | 3.242901 |
2459808 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.862695 | 0.258252 | 0.088698 | -0.428921 | -0.978569 | -1.296786 | -0.649485 | -0.112258 | 0.8001 | 0.7463 | 0.4709 | 2.725528 | 2.634951 |
2459807 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.986140 | -0.424673 | 0.362977 | -0.682079 | -1.023333 | -1.022136 | -1.724675 | 1.431798 | 0.7913 | 0.7420 | 0.4654 | 2.886638 | 3.144477 |
2459806 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.787676 | -1.311581 | 0.592887 | -0.663625 | -1.577739 | -1.594350 | -0.573617 | 0.649339 | 0.7501 | 0.6598 | 0.4044 | 1.548305 | 1.512472 |
2459805 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.180212 | -0.550325 | 0.669971 | -0.645375 | -1.128323 | -0.768420 | -0.403573 | -0.237163 | 0.7940 | 0.7574 | 0.4562 | 2.504883 | 2.645517 |
2459804 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.004994 | -0.156152 | 0.794631 | -0.286503 | -0.628096 | -0.725386 | 0.297289 | 0.755240 | 0.7904 | 0.7599 | 0.4415 | 2.868221 | 3.057486 |
2459803 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.364958 | 0.004636 | 0.400610 | -0.422198 | -0.325461 | -0.916624 | -0.266831 | 0.174647 | 0.7852 | 0.7617 | 0.4488 | 3.867085 | 3.741187 |
2459802 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 13.33% | -0.949647 | -0.509240 | 0.395129 | -0.190982 | -1.196949 | -0.965767 | -0.448979 | 0.352866 | 0.7871 | 0.6573 | 0.4853 | 2.189938 | 2.275450 |
2459801 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.107047 | -0.155820 | 0.313826 | -0.370702 | -1.560720 | -1.981146 | -0.632345 | -0.572113 | 0.8039 | 0.7547 | 0.4525 | 2.393910 | 2.421262 |
2459800 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 5.26% | -1.284790 | -0.224135 | -0.001596 | -0.503931 | -0.917133 | -0.534061 | -0.862338 | 0.191998 | 0.7706 | 0.7509 | 0.4287 | 2.142139 | 2.134395 |
2459799 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.07% | 5.35% | -0.399474 | -0.704020 | 0.675805 | -0.386907 | -1.424990 | -1.092314 | -0.653506 | 0.183718 | 0.7546 | 0.6563 | 0.4065 | 1.601888 | 1.484197 |
2459798 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 7.89% | -0.939154 | -0.026202 | 0.069709 | -0.400063 | -0.845422 | -0.790296 | -0.890450 | 0.056241 | 0.7500 | 0.7309 | 0.4372 | 2.245558 | 2.290213 |
2459797 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.999277 | -0.262039 | 0.344488 | -0.589918 | -0.703203 | -0.716305 | -1.129812 | 0.004013 | 0.7530 | 0.7368 | 0.4236 | 1.736540 | 1.767539 |
2459796 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 15.79% | 0.00% | -0.801193 | -0.018645 | 1.561684 | -0.142493 | -0.554798 | -0.231539 | -1.149256 | 3.478956 | 0.7293 | 0.7123 | 0.4292 | 1.326126 | 1.444017 |
2459795 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | 15.79% | -0.901905 | 0.126819 | 0.789485 | 0.007351 | -0.735037 | -0.024505 | -1.202047 | 0.335147 | 0.7235 | 0.7080 | 0.4292 | 1.610213 | 1.327141 |
2459794 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.895283 | -0.332874 | 0.781369 | -0.372852 | 0.392281 | -0.344746 | -0.348796 | 6.982788 | 0.7233 | 0.7070 | 0.4393 | 0.000000 | 0.000000 |
2459793 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 21.05% | -0.824286 | -0.227899 | -0.108323 | -0.012157 | -1.396906 | -0.225412 | -0.935321 | 0.490755 | 0.7219 | 0.7164 | 0.4238 | 1.422454 | 1.459317 |
2459792 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.07% | -0.801156 | -0.932849 | 0.543153 | -0.958182 | -1.461674 | -1.146554 | -0.552611 | 0.328657 | 0.7556 | 0.6561 | 0.4045 | 1.966631 | 1.938283 |
2459791 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.890314 | -0.439896 | 1.655332 | -0.583437 | 0.003696 | 0.149540 | -0.363398 | 0.359954 | 0.7064 | 0.6980 | 0.4022 | 1.825043 | 2.015653 |
2459790 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.26% | 10.53% | -1.520434 | -0.961049 | 1.091667 | -0.652337 | 0.084337 | -0.461341 | -0.722417 | -0.493009 | 0.7067 | 0.7039 | 0.4047 | 1.960184 | 2.394433 |
2459789 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 97.37% | 2.63% | -1.803726 | -0.856710 | -0.363546 | 0.278473 | -0.341996 | -0.317352 | -0.303807 | 1.429997 | 0.6757 | 0.6695 | 0.4074 | 0.000000 | 0.000000 |
2459788 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.880983 | -0.913621 | -0.173108 | 0.184342 | -0.785233 | 0.047559 | -0.160209 | 0.348729 | 0.6882 | 0.6869 | 0.3825 | 1.433978 | 1.523107 |
2459787 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -2.000887 | -0.663992 | -0.452625 | -0.482939 | -0.012549 | 0.653259 | 6.234013 | 5.990923 | 0.6819 | 0.6798 | 0.3775 | 2.973768 | 2.804787 |
2459786 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.26% | 0.00% | -1.613717 | -0.812560 | 0.658581 | -0.132214 | 0.474093 | -0.510037 | -0.901876 | 1.320963 | 0.6645 | 0.6623 | 0.3616 | 2.528773 | 2.070649 |
2459785 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.60% | 0.00% | -1.047241 | -0.761395 | 1.547770 | -0.778062 | -1.054727 | -1.254118 | -0.576333 | 0.438571 | 0.7593 | 0.6617 | 0.4049 | 1.863202 | 1.806509 |
2459784 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.686392 | -0.521904 | 0.937673 | -0.888162 | -0.442082 | -0.583312 | -0.976061 | -0.539960 | 0.6235 | 0.6187 | 0.3569 | 1.471012 | 1.575126 |
2459783 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | -1.256925 | -0.669099 | 0.140446 | -0.760476 | -0.715838 | -0.340073 | -0.859050 | 0.568631 | 0.6160 | 0.6111 | 0.3398 | 2.173852 | 2.656526 |
2459782 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.839568 | -1.087081 | 0.193023 | -0.787408 | -0.888744 | -0.290217 | -0.867027 | -0.028054 | 0.5905 | 0.5862 | 0.3325 | 1.931660 | 2.236888 |
2459781 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.30% | -1.132956 | -0.377296 | -0.911700 | -0.248803 | -0.605554 | 0.405543 | -0.696411 | 0.021273 | 0.7606 | 0.7063 | 0.3459 | 2.318371 | 2.493608 |
2459778 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | -0.520492 | -0.715546 | 0.089088 | -0.678495 | -1.420396 | -0.363806 | -0.564840 | -0.338271 | 0.7393 | 0.6440 | 0.3936 | 2.076548 | 2.123400 |
2459776 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.41% | 0.00% | -0.431354 | -0.203733 | -0.342641 | -1.280866 | -0.569500 | -0.848232 | -0.836954 | 0.263418 | 0.7582 | 0.6407 | 0.4047 | 1.760797 | 1.687249 |
2459774 | digital_ok | - | 0.52% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7336 | 0.6258 | 0.4060 | nan | nan |
2459773 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 34.21% | 0.00% | -1.007184 | -0.657245 | -0.299774 | -0.979885 | -0.170866 | -0.944841 | -0.235396 | -0.531626 | 0.4899 | 0.4882 | 0.2934 | 1.789697 | 2.092029 |
2459772 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459771 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 4.28% | -0.796784 | -0.284692 | -0.267379 | -0.152918 | -0.069821 | -0.148566 | -0.246005 | 0.122908 | 0.7343 | 0.6365 | 0.4041 | 1.914657 | 1.832498 |
2459770 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 13.16% | -0.932843 | -0.727853 | -0.298455 | -0.878567 | -0.295177 | -0.778560 | -0.567203 | 1.010462 | 0.5293 | 0.5285 | 0.2951 | 1.838140 | 2.078923 |
2459769 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.001146 | -0.813459 | -0.609487 | -0.914500 | 0.271043 | -1.049448 | -0.313651 | 0.192127 | 0.5295 | 0.5319 | 0.3025 | 1.736796 | 1.874915 |
2459768 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.839583 | -0.549866 | -0.636558 | -0.885577 | -0.624229 | -1.061446 | -0.402074 | 0.184420 | 0.5355 | 0.5366 | 0.3056 | 1.792269 | 1.915783 |
2459767 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.672486 | -0.329455 | -0.170948 | -0.137110 | 0.519573 | -0.388342 | -0.036103 | -0.145776 | 0.5599 | 0.5597 | 0.2884 | 1.653101 | 1.856608 |
2459766 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.710796 | -0.420220 | -0.074634 | -0.165706 | 0.329400 | -0.638630 | -0.148516 | -0.062607 | 0.5283 | 0.5287 | 0.3158 | 1.398483 | 1.546825 |
2459765 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.921577 | -0.504865 | -0.442774 | -1.012436 | -0.827947 | -1.196459 | 0.014587 | 0.018484 | 0.5501 | 0.5490 | 0.3155 | 2.134630 | 2.362125 |
2459764 | digital_ok | - | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459763 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.447634 | -0.504094 | 0.093023 | -0.712144 | 0.059401 | -0.149630 | 1.849201 | 2.090993 | 0.7476 | 0.6687 | 0.4304 | 1.933435 | 2.006891 |
2459761 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.657342 | -0.574628 | 0.031398 | -0.680382 | -0.583324 | -0.003624 | 0.180421 | 0.533884 | 0.5805 | 0.5746 | 0.3289 | 2.085924 | 2.306430 |
2459760 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.861294 | -1.118732 | -0.791824 | -0.924817 | -0.024958 | -0.808776 | 0.475435 | 1.027638 | 0.5888 | 0.5864 | 0.3335 | 1.644377 | 2.232131 |
2459759 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459758 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459757 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.21% | -1.228368 | -1.188818 | -0.970115 | -0.853484 | -0.933880 | -1.109031 | -0.551094 | -0.607063 | 0.7517 | 0.6663 | 0.3883 | 2.432259 | 2.272049 |
2459755 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.293502 | -0.922816 | -0.892499 | -1.039324 | -0.316203 | -0.908475 | -0.752234 | -0.511404 | 0.6189 | 0.6082 | 0.3427 | 1.691827 | 1.861767 |
2459754 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.218801 | -1.061970 | -0.922544 | -0.770718 | -0.022465 | -0.604206 | -1.105905 | -0.896348 | 0.6312 | 0.6154 | 0.3558 | 1.559092 | 1.727428 |
2459753 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.438248 | -0.870839 | -0.924815 | -0.890936 | -1.129173 | -0.755530 | -0.520965 | -0.985041 | 0.6172 | 0.6004 | 0.3648 | 1.427378 | 1.575363 |
2459752 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 92.11% | 0.00% | -0.845653 | -0.621985 | -0.629007 | 0.611164 | -1.097643 | -0.545628 | -0.748335 | -1.073566 | 0.6206 | 0.5997 | 0.3729 | 0.000000 | 0.000000 |
2459750 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459749 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.349669 | -1.123692 | -0.840386 | -1.023051 | -0.298754 | -1.034899 | -0.705022 | -0.850117 | 0.0676 | 0.0715 | 0.0061 | 1.211931 | 1.221909 |
2459748 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459747 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.384254 | 0.555182 | 0.042345 | 0.396566 | 2.109008 | 0.615834 | 0.032565 | -1.455202 | 0.0320 | 0.0311 | 0.0020 | nan | nan |
2459746 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459745 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459744 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459743 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459742 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459741 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459740 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.382441 | 0.625464 | 0.012218 | 0.570430 | 3.087984 | -1.145216 | 0.867512 | -1.183056 | 0.0328 | 0.0389 | 0.0034 | nan | nan |
2459738 | digital_ok | 0.00% | 51.61% | 51.61% | 0.00% | 52.63% | 0.00% | -1.112704 | -0.880055 | -0.422957 | 0.684437 | 1.154881 | -0.449898 | -0.451673 | -0.697267 | 0.4091 | 0.4035 | 0.2246 | 1.715670 | 1.973735 |
2459736 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 7.57% | -1.118832 | -0.852873 | -0.891564 | -0.886195 | -1.001647 | -0.953619 | -0.512055 | -0.761486 | 0.7481 | 0.6555 | 0.4166 | 2.135692 | 2.241428 |
2459734 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.589710 | 0.570957 | 0.248286 | 0.596731 | 3.111512 | -0.152937 | 0.548010 | -0.809612 | 0.0361 | 0.0367 | 0.0056 | nan | nan |
2459733 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.467915 | 0.568559 | 0.088673 | 0.548027 | -0.372964 | -0.580873 | 0.268757 | -1.266693 | 0.0350 | 0.0336 | 0.0054 | nan | nan |
2459732 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.370429 | 0.656132 | 0.320300 | 0.459245 | -0.080599 | -0.282881 | 0.029756 | -1.253373 | 0.0364 | 0.0360 | 0.0064 | nan | nan |
2459731 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 39.47% | -0.866299 | -0.713804 | -0.283831 | 0.059230 | -1.457000 | 0.520305 | -0.611616 | -0.858702 | 0.7309 | 0.7071 | 0.4050 | 3.137621 | 4.130831 |
2459730 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.621963 | 0.329418 | 0.112440 | 0.521072 | 0.228763 | -0.941053 | 0.030539 | -1.195131 | 0.0323 | 0.0333 | 0.0027 | nan | nan |
2459728 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.011204 | 0.065006 | -0.270084 | 0.339381 | -0.109037 | 0.290238 | -0.297416 | -0.687586 | 0.0327 | 0.0304 | 0.0022 | nan | nan |
2459726 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.759126 | 0.062716 | -0.140891 | 0.284713 | 0.171284 | -0.691169 | 0.840612 | -1.044754 | 0.0332 | 0.0306 | 0.0028 | nan | nan |
2459724 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.495718 | 0.313043 | -0.054957 | 0.320210 | 0.471563 | -0.620577 | 0.255845 | -1.228417 | 0.0302 | 0.0362 | 0.0014 | nan | nan |
2459723 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.758309 | 0.074659 | -0.136496 | 0.143607 | -0.325897 | -0.874834 | 0.117636 | -1.110046 | 0.0317 | 0.0333 | 0.0018 | nan | nan |
2459722 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.103147 | -0.409397 | -0.653756 | 0.468144 | -1.027335 | -0.000073 | -0.683156 | -1.411405 | 0.7380 | 0.6587 | 0.4251 | 2.543389 | 2.947304 |
2459720 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.775189 | -0.085520 | -0.116296 | 0.202710 | 1.437472 | 0.200934 | -0.377635 | -1.204169 | 0.0318 | 0.0336 | 0.0020 | nan | nan |
2459719 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.741747 | -0.013869 | 0.001584 | 0.224099 | 0.337121 | 0.205616 | 0.005791 | -0.898211 | 0.0320 | 0.0347 | 0.0021 | nan | nan |
2459718 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.619584 | 0.315951 | 0.054927 | 0.293360 | 5.459593 | -0.017109 | 0.980614 | -0.344756 | 0.0324 | 0.0315 | 0.0019 | nan | nan |
2459717 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.461418 | 0.417083 | -0.286239 | 0.006538 | 0.157420 | -0.556071 | 0.494838 | -0.695493 | 0.0325 | 0.0326 | 0.0026 | nan | nan |
2459716 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.732884 | 0.163891 | -0.024023 | 0.335080 | 1.504396 | -0.632222 | 0.880969 | -0.841381 | 0.0337 | 0.0330 | 0.0038 | nan | nan |
2459715 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.856864 | -0.377099 | -0.013240 | 0.557553 | -0.831815 | 0.139823 | -0.726540 | -1.300310 | 0.7168 | 0.6449 | 0.4290 | 2.498815 | 2.910039 |
2459713 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.769497 | 0.319552 | 0.068195 | 0.532146 | 0.325333 | -0.803891 | 0.658610 | -0.588358 | 0.0325 | 0.0311 | 0.0031 | nan | nan |
2459712 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.006381 | -0.380415 | -0.374780 | 0.893356 | -1.251272 | -0.365431 | -0.911791 | -1.620697 | 0.6467 | 0.6396 | 0.3670 | 3.864076 | 4.489748 |
2459711 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.214267 | 0.458571 | -0.332875 | 0.044009 | 0.187123 | -1.047629 | -0.198316 | -0.907574 | 0.0311 | 0.0318 | 0.0019 | nan | nan |
2459710 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.034415 | 0.614207 | -0.151181 | 0.452771 | 1.427864 | -0.878872 | -0.174937 | -0.849200 | 0.0310 | 0.0353 | 0.0021 | nan | nan |
2459708 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 98.92% | 0.00% | -0.982427 | -0.792554 | -0.020096 | 0.361265 | -0.778107 | 0.113104 | -0.814329 | -0.886886 | 0.7174 | 0.6557 | 0.4084 | 0.000000 | 0.000000 |
2459707 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.734227 | 0.739981 | -1.522068 | -1.257451 | -1.415485 | -1.405599 | -0.073416 | 0.515351 | 0.0337 | 0.0339 | 0.0025 | 0.000000 | 0.000000 |
2459706 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.024907 | 0.546070 | -0.133481 | 0.392254 | -0.004742 | -1.093482 | -0.172712 | -0.858228 | 0.0328 | 0.0332 | 0.0039 | nan | nan |
2459705 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.441778 | 0.466170 | -0.438497 | 0.326728 | 0.611289 | -0.818774 | 0.443146 | -0.672158 | 0.0311 | 0.0347 | 0.0020 | nan | nan |
2459703 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.044404 | 0.622195 | -0.119829 | 0.812773 | -0.693960 | -0.357155 | -0.023513 | -1.659622 | 0.0312 | 0.0311 | -0.0015 | nan | nan |
2459702 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.563192 | -1.237026 | -0.276527 | 0.259340 | -0.569708 | -0.942022 | -0.445827 | -0.116382 | 0.6379 | 0.6466 | 0.3154 | 1.955808 | 2.204949 |
2459701 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.499055 | -1.226961 | -0.849073 | -0.521976 | 0.539091 | -1.397318 | -0.324406 | -0.177865 | 0.6476 | 0.6552 | 0.3099 | 1.473849 | 1.599825 |
2459697 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459696 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 86.681934 | 86.681934 | 76.948327 | 76.948327 | 80.483240 | 80.483240 | 317.510342 | 317.510342 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459695 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 256.807998 | 256.807998 | 254.804328 | 254.804328 | 261.868637 | 261.868637 | 863.944984 | 863.944984 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459694 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 11.35% | -1.284623 | -0.881676 | -0.152141 | -0.044366 | -0.972210 | 1.567717 | -1.284587 | -1.226984 | 0.6715 | 0.6346 | 0.3894 | 1.974488 | 2.023377 |
2459693 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.633673 | -0.359293 | 0.346467 | 0.191367 | 0.673241 | 0.073684 | -0.057578 | 0.454171 | 0.7277 | 0.7234 | 0.2602 | 2.704984 | 2.581613 |
2459692 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.917840 | 0.298001 | -0.775331 | 0.333752 | -0.815486 | -0.095445 | -0.905094 | 0.120424 | 0.7446 | 0.7720 | 0.2151 | 2.878789 | 3.239927 |
2459691 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.174908 | -1.128805 | -0.119268 | 0.285958 | 0.031486 | -0.408117 | -0.493862 | 2.231639 | 0.6262 | 0.6283 | 0.3078 | 1.760917 | 1.620560 |
2459690 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459689 | digital_ok | 0.00% | - | - | - | - | - | -1.438751 | -0.787243 | -0.937648 | 0.273960 | -0.408507 | -0.424308 | -0.441595 | 1.104879 | nan | nan | nan | nan | nan |
2459688 | digital_ok | 0.00% | - | - | - | 0.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 1.899482 | 2.160472 |
2459687 | digital_ok | 0.00% | 99.46% | 99.46% | 0.00% | - | - | -0.909201 | -0.716125 | 0.191983 | 0.046210 | 1.428175 | 1.079157 | -0.517352 | 1.547874 | 0.1846 | 0.1784 | 0.0765 | nan | nan |
2459686 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.166439 | -0.964400 | -0.610233 | -0.226200 | 0.163474 | -0.940682 | -1.014014 | 0.940977 | 0.6349 | 0.6385 | 0.3287 | 1.838582 | 1.782669 |
2459685 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | -0.914410 | -0.642723 | -0.649349 | -0.232307 | 0.220230 | -0.282893 | -0.933958 | 1.660706 | 0.6434 | 0.6429 | 0.3313 | 1.523905 | 1.347975 |
2459684 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.259512 | -1.004774 | -0.242176 | -0.040821 | 0.363471 | 0.020266 | -1.253636 | 0.341389 | 0.6447 | 0.6473 | 0.3358 | 1.760880 | 1.804783 |
2459676 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.33% | 5.33% | -0.972015 | -0.545021 | -0.139853 | 0.823088 | -0.005968 | -0.354808 | -1.211503 | 0.275708 | 0.6404 | 0.6458 | 0.3488 | 2.216022 | 2.181319 |
2459675 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 12.00% | -0.757527 | -0.405933 | -0.055156 | -0.026652 | 1.649541 | 1.513763 | -1.117909 | 0.410041 | 0.6462 | 0.6526 | 0.3445 | 1.809092 | 1.677465 |
2459674 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459673 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 51.89% | -0.802276 | -0.174984 | 0.109298 | 0.020668 | -1.108628 | 0.147416 | -1.147647 | 0.012686 | 0.6634 | 0.6531 | 0.3689 | 0.712880 | 0.685680 |
2459672 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 29.33% | 26.67% | -1.103080 | -0.795274 | 0.063923 | 0.133541 | 0.038741 | 0.123317 | -0.857595 | 1.409335 | 0.6504 | 0.6551 | 0.3429 | 0.000000 | 0.000000 |
2459671 | digital_ok | 0.00% | 32.97% | 32.97% | 0.00% | 100.00% | 0.00% | -1.334925 | -0.258912 | -0.007532 | -0.235136 | -0.609292 | -0.028014 | -0.916614 | 0.295695 | 0.4960 | 0.4907 | 0.2688 | 0.000000 | 0.000000 |
2459670 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459669 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 13.012877 | 10.231524 | 22.339600 | 18.077365 | 5.762670 | -0.024840 | 2.013485 | 1.748703 | 0.0392 | 0.0351 | 0.0022 | nan | nan |
2459668 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | -0.984976 | -0.400085 | 0.002920 | 0.067726 | -0.761263 | 0.255328 | -2.072954 | 0.187991 | 0.7181 | 0.7005 | 0.3295 | 2.166788 | 2.110701 |
2459665 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.299518 | -0.643169 | -0.039119 | -0.309755 | 0.077031 | -0.763074 | -0.719300 | 1.558842 | 0.6786 | 0.6864 | 0.3527 | 1.286400 | 1.357366 |
2459664 | digital_ok | 0.00% | 100.00% | 98.92% | 0.00% | - | - | 0.000316 | -0.077103 | 1.376237 | 0.985967 | 1.122313 | 1.682208 | -0.453096 | 0.188425 | 0.0333 | 0.0345 | 0.0024 | nan | nan |
2459663 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.093018 | -0.095580 | 0.094052 | 0.260557 | -0.660000 | 0.239759 | -0.940793 | 0.917721 | 0.6562 | 0.6540 | 0.3424 | 1.131533 | 1.138386 |
2459662 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.306712 | -1.172771 | -0.559679 | -0.742149 | 2.977770 | 0.868465 | -0.117390 | 0.702986 | 0.0336 | 0.0319 | 0.0012 | nan | nan |
2459661 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.966095 | -0.078842 | -0.022860 | -0.228421 | -0.726869 | -0.061847 | -1.186605 | -0.283089 | 0.7002 | 0.6897 | 0.3038 | 1.871013 | 1.894514 |
2459660 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.787611 | -0.309606 | 0.130305 | -0.141662 | -0.645473 | -0.283665 | -0.951980 | 0.719619 | 0.6999 | 0.6821 | 0.3147 | 1.512889 | 1.453943 |
2459659 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.772052 | -0.212585 | 0.097439 | -0.431081 | -0.701267 | -0.315850 | -0.989801 | 1.633176 | 0.6567 | 0.6511 | 0.3339 | 1.400019 | 1.430707 |
2459658 | digital_ok | 0.00% | 0.64% | 0.00% | 0.00% | 0.00% | 0.00% | -0.815486 | -0.517755 | -0.183508 | -0.483245 | -1.058415 | -0.096188 | -0.862086 | 1.361445 | 0.6528 | 0.6512 | 0.3399 | 1.519198 | 1.516311 |
2459657 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.971653 | -0.273154 | 0.123529 | -0.336229 | -0.600485 | -0.515473 | -1.147866 | 1.148190 | 0.6778 | 0.6635 | 0.3279 | 1.625226 | 1.610231 |
2459656 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | -1.060224 | -0.517877 | 0.319613 | -0.818797 | -0.773440 | -0.581650 | -0.709330 | 1.626939 | 0.6360 | 0.6328 | 0.3469 | 1.466865 | 1.698727 |
2459655 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.434365 | -0.702983 | -0.784736 | -0.476470 | -0.366377 | 0.039472 | 0.046148 | 0.442112 | 0.0320 | 0.0311 | 0.0014 | nan | nan |
2459653 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.883520 | -0.675528 | 0.572467 | -0.956470 | -0.533288 | -1.048785 | -1.012794 | -0.233459 | 0.6517 | 0.6496 | 0.3392 | 1.491790 | 1.598753 |
2459652 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.982917 | -0.659322 | 0.067957 | -0.183787 | 0.218941 | -0.051756 | -1.050515 | 0.353898 | 0.6346 | 0.6297 | 0.3518 | 1.163382 | 1.225883 |
2459651 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.250605 | -0.425935 | 0.103369 | -0.326001 | -0.254147 | -1.276658 | -0.499919 | -0.489917 | 0.8553 | 0.8585 | 0.1326 | 9.914866 | 10.561170 |
2459650 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | -1.155883 | 0.159453 | -0.182581 | -0.171415 | -1.078082 | -0.819447 | -1.022334 | -0.159700 | 0.7822 | 0.7627 | 0.2548 | 2.733398 | 2.917067 |
2459649 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 6.99% | -0.916073 | -0.750247 | 0.289848 | -0.535534 | -0.726408 | -0.964448 | -0.494381 | 2.251188 | 0.6736 | 0.6605 | 0.3197 | 2.046343 | 2.116354 |
2459648 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459647 | digital_ok | 0.00% | 81.63% | 81.63% | 0.00% | 0.00% | 2.94% | 0.690229 | 0.690229 | 0.927565 | 0.927565 | 0.308799 | 0.308799 | 0.681407 | 0.681407 | 0.2085 | 0.2085 | 0.0000 | 0.051423 | 0.051423 |
2459646 | digital_ok | 0.00% | 17.34% | 17.88% | 0.00% | 18.28% | 1.61% | -0.644996 | -0.512911 | 0.489566 | -0.085228 | -0.382893 | -0.612604 | -1.134888 | 0.768666 | 0.4921 | 0.4906 | 0.2463 | 2.076586 | 2.266567 |
2459645 | digital_ok | 0.00% | 16.22% | 17.30% | 0.00% | 17.30% | 14.05% | -0.593711 | -0.544005 | 0.284250 | 0.108672 | -0.659516 | -0.749225 | -0.730298 | -0.121849 | 0.6160 | 0.6455 | 0.2175 | 3.671125 | 4.581424 |
2459642 | digital_ok | 0.00% | 14.64% | 15.72% | 0.00% | 16.13% | 13.44% | -0.562726 | -0.606677 | 0.427005 | -0.031450 | -0.855412 | -0.632832 | -1.129864 | 0.829687 | 0.4856 | 0.4806 | 0.2483 | 1.963941 | 1.994546 |
2459641 | digital_ok | - | 30.20% | 50.34% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.5765 | 0.4955 | 0.0253 | nan | nan |
2459640 | digital_ok | 0.00% | 13.51% | 14.05% | 0.00% | 14.05% | 1.08% | -0.460310 | -0.126627 | 0.224436 | 0.057048 | -0.432245 | -0.683469 | -0.893060 | -0.034550 | 0.4881 | 0.4917 | 0.2458 | 2.014408 | 2.190234 |
2459639 | digital_ok | 0.00% | 12.48% | 13.56% | 0.00% | 13.98% | 3.76% | -0.623165 | -0.408336 | -0.140898 | 0.016717 | -0.135301 | -0.259199 | 0.986923 | 1.585667 | 0.5026 | 0.5014 | 0.2422 | 2.436670 | 2.631449 |
2459638 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6621 | 0.6824 | 0.2341 | nan | nan |
2459637 | digital_ok | 0.00% | 11.35% | 11.89% | 0.00% | 11.89% | 2.16% | -0.721942 | -0.305764 | -0.503371 | 0.159069 | -0.466860 | -0.749244 | -1.163677 | 0.961248 | 0.4788 | 0.4747 | 0.2423 | 2.053015 | 2.192063 |
2459636 | digital_ok | 0.00% | 10.81% | 11.35% | 0.00% | 11.35% | 4.32% | -0.808003 | -0.324528 | -0.240760 | 0.027382 | -0.206061 | -0.970387 | -1.252064 | -0.076629 | 0.4796 | 0.4753 | 0.2429 | 2.042722 | 2.128304 |
2459635 | digital_ok | 0.00% | 10.32% | 10.32% | 0.00% | 10.75% | 6.45% | -0.500767 | -0.139126 | -0.015745 | 0.188678 | -0.521963 | -0.725121 | -1.028008 | 0.013455 | 0.4899 | 0.4829 | 0.2476 | 2.151532 | 2.247431 |
2459634 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.196669 | 0.196669 | 0.196449 | 0.196449 | 0.206810 | 0.206810 | 0.205809 | 0.205809 | 1.0000 | 1.0000 | 0.0000 | 0.017278 | 0.017278 |
2459633 | digital_ok | 0.00% | 9.24% | 9.78% | 0.00% | 10.22% | 0.00% | -0.576273 | -0.108072 | -0.001662 | 0.152660 | -0.494883 | -0.955323 | -0.883524 | 0.666703 | 0.4848 | 0.4829 | 0.2574 | 1.868995 | 2.020503 |
2459632 | digital_ok | 0.00% | 8.11% | 8.65% | 0.00% | 8.65% | 2.70% | -0.606119 | -0.305725 | 0.009746 | 0.017944 | -0.675424 | -0.664537 | -1.182347 | -0.032909 | 0.4876 | 0.4813 | 0.2541 | 1.973611 | 2.035341 |
2459631 | digital_ok | 0.00% | 7.57% | 8.11% | 0.00% | 8.11% | 1.08% | -0.804823 | -0.179994 | 0.015961 | 0.121137 | -0.511839 | -0.736839 | -1.093614 | 0.381416 | 0.4925 | 0.4882 | 0.2517 | 1.952018 | 2.100988 |
2459630 | digital_ok | 0.00% | 6.54% | 7.08% | 0.00% | 7.53% | 3.23% | -0.686087 | 0.118019 | -0.058500 | 0.027713 | -0.984435 | -0.572428 | -1.003589 | 0.460157 | 0.4943 | 0.4905 | 0.2509 | 1.981069 | 2.154054 |
2459629 | digital_ok | 0.00% | 6.54% | 6.54% | 0.00% | 6.99% | 2.15% | -0.672383 | -0.284708 | 0.161054 | -0.011980 | -0.954203 | -0.754879 | -1.201925 | 0.763473 | 0.5231 | 0.5082 | 0.2480 | 1.861489 | 1.975057 |
2459628 | digital_ok | 0.00% | 5.95% | 5.95% | 0.00% | 5.95% | 0.54% | -0.532127 | -0.366150 | 0.138179 | -0.273212 | -0.630110 | -0.829497 | -0.755733 | 1.818595 | 0.4914 | 0.4861 | 0.2575 | 2.229020 | 2.377521 |
2459627 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 20.27% | 0.530557 | 0.530557 | 0.536458 | 0.536458 | 0.575048 | 0.575048 | 0.573114 | 0.573114 | 1.0000 | 1.0000 | 0.0000 | 0.014976 | 0.014976 |
2459626 | digital_ok | 0.00% | 4.38% | 4.38% | 0.00% | 4.84% | 0.54% | -0.609141 | -0.656917 | 0.354791 | -0.060711 | -0.842852 | 0.101595 | -0.705038 | 1.787246 | 0.5141 | 0.5099 | 0.2611 | 2.605172 | 2.580200 |
2459625 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459624 | digital_ok | 0.00% | 2.70% | 3.78% | 0.00% | 3.78% | 0.00% | -1.142362 | -0.595597 | 0.076822 | -0.235208 | -0.934933 | -0.593439 | -0.849304 | 2.061217 | 0.4982 | 0.4896 | 0.2552 | 2.158299 | 2.284222 |
2459623 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459622 | digital_ok | 0.00% | 4.32% | 3.78% | 0.00% | 100.00% | 0.00% | -1.139998 | -0.814182 | -0.299339 | -0.200082 | 0.129137 | -0.890313 | -0.954066 | 0.619678 | 0.5122 | 0.5082 | 0.2735 | 0.000000 | 0.000000 |
2459621 | digital_ok | 0.00% | - | - | - | 19.57% | 2.17% | -1.580363 | -0.007530 | -0.035981 | -0.050625 | -0.817709 | -0.727446 | -1.238154 | -0.289897 | nan | nan | nan | 3.186842 | 4.056745 |
2459620 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.971152 | -0.532285 | -0.994144 | -0.879284 | 0.737684 | 0.138208 | 0.841657 | 0.888182 | 0.0329 | 0.0324 | 0.0013 | nan | nan |
2459619 | digital_ok | 0.00% | 0.00% | 0.54% | 0.00% | 98.38% | 0.00% | -0.779092 | -0.541647 | -0.503252 | -0.512977 | -0.402595 | -0.391879 | -0.764387 | 0.376497 | 0.5356 | 0.5334 | 0.2725 | 0.000000 | 0.000000 |
2459618 | digital_ok | 0.00% | 0.00% | 0.59% | 0.00% | 0.00% | 0.00% | -0.750693 | -0.646545 | 0.171477 | -0.020941 | -0.407180 | -0.879281 | -0.675159 | 1.520798 | 0.5226 | 0.5182 | 0.2825 | 1.922375 | 1.817302 |
2459617 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | 15.59% | -0.507403 | -0.674109 | 0.241649 | -0.363537 | -0.426269 | -0.548573 | 2.086791 | 3.071078 | 0.5373 | 0.5352 | 0.2729 | 1.353380 | 1.364808 |
2459616 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.30% | 1.61% | -0.842623 | -0.457594 | -0.089787 | -0.167885 | -0.467125 | -0.807590 | -0.690786 | 1.359403 | 0.5272 | 0.5163 | 0.2777 | 1.371643 | 1.433756 |
2459615 | digital_ok | 0.00% | 0.00% | 2.16% | 0.00% | 54.59% | 1.62% | -0.587609 | -0.396898 | 0.169129 | -0.194497 | -0.528314 | -0.878644 | -0.890380 | 0.500567 | 0.5218 | 0.5142 | 0.2840 | 0.000000 | 0.000000 |
2459614 | digital_ok | 0.00% | 0.54% | 1.08% | 0.00% | 1.08% | 95.16% | -0.585141 | -0.283700 | 0.148149 | -0.396866 | -1.095049 | -0.540170 | -1.409521 | -0.197249 | 0.5214 | 0.5088 | 0.2849 | 0.000000 | 0.000000 |
2459613 | digital_ok | 100.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459612 | digital_ok | 0.00% | 68.11% | 68.11% | 0.00% | 96.22% | 0.00% | -0.062401 | -0.727106 | 0.600317 | -0.265284 | -0.748451 | -0.220103 | 0.419254 | 0.061469 | 0.2646 | 0.2638 | 0.1238 | 0.000000 | 0.000000 |
2459611 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.496410 | -0.792281 | 0.070882 | -0.271450 | -1.042109 | -0.613471 | -0.646074 | 0.276019 | 0.5280 | 0.5408 | 0.2664 | 1.973951 | 1.889590 |
2459610 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 22.04% | -0.304744 | -0.858713 | -0.031916 | -0.067019 | -0.330135 | -0.715377 | -0.570272 | -0.213162 | 0.6129 | 0.6173 | 0.2423 | 2.840602 | 3.261526 |
2459609 | digital_ok | 0.00% | 0.54% | 1.08% | 0.00% | 1.08% | 11.89% | -0.247085 | -0.847225 | -0.763407 | -0.250702 | -0.408920 | -0.795468 | -0.756667 | 0.218600 | 0.5746 | 0.5723 | 0.2476 | 2.063512 | 2.240185 |
2459608 | digital_ok | 0.00% | 1.08% | 1.08% | 0.00% | 1.08% | 3.23% | -0.227635 | -0.880803 | -0.279557 | -0.241835 | 0.396450 | -0.564935 | -0.688989 | 0.032598 | 0.5246 | 0.5192 | 0.2885 | 1.738338 | 1.967151 |
2459607 | digital_ok | 0.00% | 44.86% | 45.95% | 0.00% | 7.06% | 15.29% | -0.729467 | -0.792449 | -1.037550 | -0.360052 | -1.211882 | -0.322649 | -1.312851 | -0.571017 | 0.3093 | 0.3018 | 0.1763 | 1.892176 | 1.837227 |
2459605 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.584701 | -0.590157 | -0.774927 | -1.086614 | 0.848612 | 0.357079 | 1.947354 | 0.037143 | 0.0283 | 0.0273 | 0.0007 | nan | nan |
2459604 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 341.135629 | 353.508775 | inf | inf | 37.611118 | 58.859213 | 209.296712 | 573.147896 | nan | nan | nan | 0.000000 | 0.000000 |
2459603 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 63.24% | 0.096477 | -0.384718 | -0.706978 | 0.100746 | 0.896480 | 0.822759 | 1.865808 | 2.054236 | 0.6662 | 0.6625 | 0.2576 | 6.417840 | 5.975818 |
2459602 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 29.03% | -0.247030 | -0.103543 | -0.391148 | -0.027523 | 0.078889 | -0.504687 | -0.173166 | 0.781969 | 0.5448 | 0.5557 | 0.2833 | 2.760813 | 3.119131 |
2459598 | digital_ok | 0.00% | 0.00% | 0.54% | 0.00% | 1.08% | 41.62% | 0.003146 | 0.726822 | -0.123792 | 0.183999 | -1.135551 | 0.509449 | -0.818757 | 0.055072 | 0.5259 | 0.5172 | 0.2958 | 2.224997 | 2.309664 |
2459597 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.61% | 12.37% | -0.203504 | 0.567418 | -0.432034 | -0.018720 | -0.048504 | -0.490296 | -0.026618 | 1.608865 | 0.5582 | 0.5469 | 0.2620 | 2.446797 | 2.343494 |
2459596 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.61% | 13.98% | -0.273207 | 0.615657 | 0.171327 | -0.034333 | -0.732710 | -0.349217 | -0.865470 | 0.367743 | 0.5556 | 0.5440 | 0.2822 | 2.186426 | 2.115497 |
2459595 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 11.35% | -0.720091 | -0.899220 | 0.158351 | 0.318823 | -0.228899 | 1.038702 | -0.260699 | 0.215442 | 0.6992 | 0.6889 | 0.1765 | 6.285079 | 5.771651 |
2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.00% | 1.629537 | -0.650903 | 0.376750 | -0.234266 | -0.328422 | -0.402642 | -0.025674 | -0.219940 | 0.7477 | 0.7383 | 0.2332 | 3.280642 | 3.177512 |
2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | 18.28% | -0.007810 | -0.105182 | -0.190111 | 0.314168 | 0.081615 | -0.003315 | -0.538301 | 0.120958 | 0.6703 | 0.6525 | 0.2033 | 3.669646 | 3.547728 |
2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.381177 | -0.948089 | -0.501549 | -1.142938 | 0.797133 | -0.990263 | 2.144989 | 0.032230 | 0.0338 | 0.0304 | 0.0008 | nan | nan |
2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.542447 | -0.955791 | -0.451419 | 0.069881 | -0.356647 | -0.655592 | -0.768586 | -0.376792 | 0.5478 | 0.5538 | 0.2984 | 1.629824 | 1.569334 |
2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.168458 | -0.460127 | -0.026231 | 0.381900 | -0.245946 | -0.612160 | -0.629610 | -0.260025 | 0.5520 | 0.5534 | 0.2939 | 2.225092 | 2.154469 |
2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 1.61% | -0.664321 | -0.780165 | -0.047892 | 0.309548 | -0.484225 | -0.926966 | -0.801281 | -0.413418 | 0.6360 | 0.6182 | 0.2291 | 2.311367 | 2.114035 |
2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 7.53% | 1.027986 | -0.836876 | -0.463810 | 0.493948 | -0.803359 | -0.141721 | -0.775304 | -0.120169 | 0.7358 | 0.7051 | 0.1915 | 6.940102 | 5.027375 |
2459587 | digital_ok | 0.00% | - | - | - | 4.20% | 0.00% | -0.362493 | -0.437587 | -0.221372 | 0.371135 | -0.641813 | 0.910880 | -1.026341 | -0.063663 | nan | nan | nan | 0.675490 | 0.715758 |
2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.16% | 41.08% | -0.490085 | -0.945237 | 0.076095 | -0.808334 | -1.093629 | 0.009787 | -0.998258 | -0.101621 | 0.5544 | 0.5601 | 0.2827 | 2.865008 | 2.669582 |
2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.114408 | -1.126182 | -0.081897 | -1.180785 | 1.055445 | -0.689477 | 2.838845 | 1.185805 | 0.0331 | 0.0325 | 0.0011 | 0.000000 | 0.000000 |
2459584 | digital_ok | 0.00% | 25.21% | 24.01% | 0.00% | 34.13% | 0.00% | -0.533648 | -0.079134 | -0.159701 | 1.252550 | -1.338845 | 1.039308 | -0.852024 | -0.673629 | 0.4909 | 0.4943 | 0.2902 | 1.367566 | 1.368552 |
2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.23% | 4.84% | -1.224623 | -0.740777 | -0.706436 | -0.071746 | 0.452272 | 0.038136 | -0.818268 | 0.044590 | 0.5433 | 0.5429 | 0.3088 | 1.597760 | 1.832197 |
2459582 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 291.746657 | 299.604664 | inf | inf | 11599.432339 | 11538.610934 | 6077.724046 | 6056.965118 | nan | nan | nan | 0.000000 | 0.000000 |
2459581 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 3.76% | -1.214238 | -0.789146 | -0.833639 | 0.162580 | -0.246702 | 0.517628 | -1.146048 | -0.001253 | 0.5586 | 0.5602 | 0.3087 | 2.062990 | 2.022626 |
2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 2.15% | -0.836895 | -0.577005 | -0.746617 | 0.103010 | 0.688233 | 0.269301 | -0.704735 | 0.249036 | 0.5549 | 0.5577 | 0.3114 | 1.949934 | 1.948173 |
2459578 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 8.11% | -1.642930 | -0.906975 | -0.997992 | -0.132352 | 0.555355 | -0.128113 | -0.857790 | -0.412575 | 0.5593 | 0.5618 | 0.3073 | 1.910233 | 1.858292 |
2459576 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.231588 | -0.748507 | -0.802776 | -0.403015 | -0.143908 | -0.488300 | -0.670949 | -0.293205 | 0.0636 | 0.0741 | 0.0097 | 1.205431 | 1.198996 |
2459575 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459574 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.105143 | -0.482184 | -0.861400 | -0.583912 | -0.616174 | -0.062001 | -0.892564 | 1.365359 | 0.0720 | 0.0907 | 0.0121 | 1.189964 | 1.189157 |
2459573 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459572 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.127977 | -0.667356 | -0.852198 | -0.417885 | 0.177511 | -0.713992 | -0.458979 | 0.552309 | 0.0500 | 0.0584 | 0.0040 | 1.113984 | 1.110927 |
2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.411096 | 0.259523 | -0.817814 | -0.044675 | 0.341570 | 0.194716 | -0.677132 | -0.104835 | 0.0355 | 0.0320 | 0.0022 | nan | nan |
2459570 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459569 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.096957 | -0.745163 | -0.835266 | -0.336795 | -1.286476 | -0.628690 | -0.982774 | -0.670775 | 0.0667 | 0.0788 | 0.0060 | 1.208737 | 1.214752 |
2459566 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.411905 | -0.474604 | -0.627242 | -0.052924 | 0.375125 | 0.278097 | -0.731038 | -0.476078 | 0.0685 | 0.0887 | 0.0141 | 1.098191 | 1.099197 |
2459565 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | -0.301489 | -0.301489 | -0.301515 | -0.301515 | -0.686513 | -0.686513 | -0.816541 | -0.816541 | nan | nan | nan | 0.000000 | 0.000000 |
2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -1.167440 | -0.292649 | -0.713721 | -1.543087 | 0.476374 | -0.715986 | -0.546819 | -0.262226 | 0.7132 | 0.7082 | 0.3871 | 1.900998 | 1.772191 |
2459563 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459562 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459561 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459560 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459559 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 2.69% | -0.932020 | -0.400427 | -0.285430 | -0.918507 | 1.168290 | -0.536634 | -0.146901 | -0.236075 | 0.7090 | 0.7066 | 0.3769 | 1.765663 | 1.679983 |
2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 9.14% | -1.116655 | -0.448697 | -0.843946 | 0.024840 | 0.570183 | 0.037606 | -0.756787 | -0.097695 | 0.7105 | 0.7044 | 0.3847 | 1.553456 | 1.603210 |
2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0396 | 0.0360 | 0.0025 | nan | nan |
2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 2.16% | -1.112840 | -0.615453 | -0.802194 | -0.139023 | 0.772013 | -0.289219 | -1.081577 | 0.156979 | 0.7119 | 0.7072 | 0.3803 | 1.601423 | 1.700934 |
2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7013 | 0.6947 | 0.3996 | nan | nan |
2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7116 | 0.7051 | 0.3903 | nan | nan |
2459552 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 95.14% | -0.890228 | -0.364598 | -0.785669 | 0.875219 | 0.457899 | 0.607209 | -0.820959 | -0.418747 | 0.7200 | 0.7145 | 0.3838 | 7.387467 | 6.134736 |
2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 1.08% | -0.793666 | -0.404528 | -0.308154 | -0.979789 | 1.368305 | -0.639748 | -0.197492 | -0.036028 | 0.7095 | 0.7084 | 0.3840 | 1.821575 | 1.670511 |
2459550 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0351 | 0.0352 | 0.0018 | nan | nan |
2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -1.334162 | -0.836893 | -0.912860 | 0.077660 | 0.976064 | -0.750751 | -0.736955 | -0.220443 | 0.7108 | 0.7083 | 0.3915 | 1.910942 | 1.764942 |
2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -1.475817 | -1.168559 | -0.637656 | 1.384972 | -0.582965 | -0.682436 | -0.848804 | -0.402891 | 0.7647 | 0.7552 | 0.3450 | 1.847273 | 1.580451 |
2459541 | digital_ok | 0.00% | 1.79% | 1.79% | 0.00% | 21.88% | 0.00% | -1.342768 | -1.197795 | -0.363105 | 0.256733 | 0.070000 | -1.022123 | -1.143225 | -0.756765 | 0.7561 | 0.7435 | 0.3191 | 1.579865 | 1.486846 |
2459540 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -1.886698 | -1.806755 | -0.670401 | 0.932730 | 0.893954 | 1.050819 | -0.970389 | -1.146347 | 0.7398 | 0.7354 | 0.4099 | 2.081932 | 1.899323 |
2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 8.48% | -0.955080 | -0.686460 | -0.062153 | -0.835735 | 0.070178 | -1.053395 | -0.047419 | 0.011769 | 0.7849 | 0.7547 | 0.3656 | 2.216520 | 1.819147 |
2459534 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 20.98% | 2.23% | -0.991531 | -0.622486 | 0.082434 | -0.882339 | 0.260389 | -0.740271 | -0.032202 | 0.018695 | 0.7771 | 0.7537 | 0.3533 | 1.976096 | 1.788983 |
2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.54% | -1.367800 | -1.390291 | -0.900189 | 0.422392 | 1.149447 | -0.501914 | -0.387017 | 0.629526 | 0.7218 | 0.7092 | 0.4015 | 1.681821 | 1.594633 |
2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 11.67% | -0.991676 | -0.992731 | -0.953170 | 0.339357 | 0.387953 | -0.529221 | -0.348979 | 0.292512 | 0.7217 | 0.7064 | 0.4034 | 1.997912 | 1.748503 |
2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 1.18% | -0.982953 | -0.466628 | -0.186970 | -0.755781 | 0.891547 | -0.546527 | -0.111555 | 0.174572 | 0.7417 | 0.7243 | 0.3988 | 2.002207 | 1.849600 |
2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.344926 | -1.752418 | -0.478539 | 0.362202 | -0.811938 | -0.102798 | -0.543840 | -0.303432 | 0.9056 | 0.9329 | 0.3040 | 0.000000 | 0.000000 |
2459523 | digital_ok | 0.00% | - | - | - | 22.45% | 0.00% | -1.488708 | -0.936475 | -0.771110 | 0.558958 | -0.031869 | 0.225644 | 0.217899 | 0.011149 | nan | nan | nan | 2.514843 | 2.249690 |
2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.902083 | -0.876322 | -1.070658 | 0.385315 | 2.705095 | 0.864558 | 1.055076 | 0.840460 | 0.6959 | 0.6479 | 0.3562 | 1.443175 | 1.530362 |
2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.436228 | 0.304807 | -0.972698 | -0.546328 | 0.458443 | 0.293916 | -0.630556 | -0.132379 | 0.0351 | 0.0364 | 0.0020 | nan | nan |
2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -1.214961 | -1.463973 | -0.541822 | -0.490779 | -0.295049 | -1.453846 | -1.026388 | -0.770236 | 0.9070 | 0.9355 | 0.2024 | 0.000000 | 0.000000 |
2459505 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.766005 | -0.594286 | -0.466392 | -0.442712 | 0.855409 | -0.687367 | -0.527216 | -0.281562 | 0.8908 | 0.8564 | 0.1887 | 6.571340 | 6.003774 |
2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | -1.237316 | -1.277326 | -0.962717 | 0.275358 | -0.708854 | 0.319312 | -0.898004 | -0.742727 | 0.8597 | 0.8490 | 0.4672 | 0.000000 | 0.000000 |
2459501 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.207433 | -1.229522 | -1.036920 | 0.588314 | 0.932793 | -0.459508 | -0.545091 | -0.727689 | 0.0878 | 0.1256 | 0.0150 | 0.000000 | 0.000000 |
2459500 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.022085 | -1.649681 | -0.823995 | 0.251707 | -0.569859 | 0.204064 | -0.715559 | -0.762104 | 0.0963 | 0.1264 | 0.0164 | 0.000000 | 0.000000 |
2459499 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.123522 | -1.651621 | -0.674544 | 0.136415 | -0.639846 | -0.076723 | -0.634504 | -0.659014 | 0.0781 | 0.1317 | 0.0071 | 0.000000 | 0.000000 |
2459498 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.354447 | -1.197837 | -0.993147 | 0.340971 | -0.566997 | 0.215206 | -0.243527 | -0.344692 | 0.0991 | 0.1297 | 0.0167 | 0.000000 | 0.000000 |
2459497 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.475898 | -0.842234 | -0.858380 | 0.603459 | -0.872194 | 0.236722 | -0.780545 | -0.646129 | 0.0922 | 0.1047 | 0.0119 | 0.000000 | 0.000000 |
2459496 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.673386 | -1.515566 | -0.830707 | 0.321769 | -1.110106 | 0.182034 | -0.814094 | -0.674118 | 0.1237 | 0.1428 | 0.0212 | 0.000000 | 0.000000 |
2459495 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -1.193826 | -1.273851 | -0.752696 | 0.348363 | -0.909756 | 0.196706 | -0.855398 | -0.737969 | 0.1321 | 0.1410 | 0.0208 | 0.000000 | 0.000000 |
2459494 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.921131 | -1.486882 | -0.550659 | 0.221791 | -0.914251 | -0.200891 | -0.060133 | -0.286960 | 0.1092 | 0.1365 | 0.0216 | 0.000000 | 0.000000 |
2459492 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -1.160185 | -1.323571 | -0.089502 | 0.688311 | 1.352541 | 0.009928 | -0.705099 | -1.504435 | 0.7610 | 0.7987 | 0.3420 | 0.207186 | 0.211410 |
2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -1.624381 | -1.059304 | 0.170260 | 0.511003 | -0.503976 | -1.114013 | -1.425314 | -1.478219 | 0.8001 | 0.8150 | 0.2676 | 0.886698 | 0.796465 |
2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -0.957097 | -0.862826 | 0.399026 | 0.672901 | 0.548264 | -0.353804 | -1.204210 | -1.202390 | 0.7484 | 0.7944 | 0.3778 | 2.162395 | 1.998562 |
2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -1.109919 | -1.397840 | 0.068207 | 0.505971 | 0.180937 | -0.850779 | -0.540502 | -0.871353 | 0.7692 | 0.8027 | 0.3154 | 1.964440 | 1.856727 |
2459488 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 85.71% | 0.00% | -0.901198 | -1.477575 | -0.207828 | 0.683908 | 0.031659 | -0.628846 | -0.828324 | -0.417693 | 0.7695 | 0.8049 | 0.3539 | 0.000000 | 0.000000 |
auto_metrics
notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics
notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Variability | 5.986716 | -0.032819 | -0.336352 | -0.170792 | 0.392325 | 5.986716 | 5.842510 | 1.559297 | 1.633733 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.258252 | 0.258252 | -0.862695 | -0.428921 | 0.088698 | -1.296786 | -0.978569 | -0.112258 | -0.649485 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 1.431798 | -0.424673 | -0.986140 | -0.682079 | 0.362977 | -1.022136 | -1.023333 | 1.431798 | -1.724675 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.649339 | -0.787676 | -1.311581 | 0.592887 | -0.663625 | -1.577739 | -1.594350 | -0.573617 | 0.649339 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.669971 | -1.180212 | -0.550325 | 0.669971 | -0.645375 | -1.128323 | -0.768420 | -0.403573 | -0.237163 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.794631 | -0.156152 | -1.004994 | -0.286503 | 0.794631 | -0.725386 | -0.628096 | 0.755240 | 0.297289 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.400610 | -1.364958 | 0.004636 | 0.400610 | -0.422198 | -0.325461 | -0.916624 | -0.266831 | 0.174647 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.395129 | -0.509240 | -0.949647 | -0.190982 | 0.395129 | -0.965767 | -1.196949 | 0.352866 | -0.448979 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.313826 | -0.155820 | -1.107047 | -0.370702 | 0.313826 | -1.981146 | -1.560720 | -0.572113 | -0.632345 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.191998 | -0.224135 | -1.284790 | -0.503931 | -0.001596 | -0.534061 | -0.917133 | 0.191998 | -0.862338 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.675805 | -0.704020 | -0.399474 | -0.386907 | 0.675805 | -1.092314 | -1.424990 | 0.183718 | -0.653506 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.069709 | -0.939154 | -0.026202 | 0.069709 | -0.400063 | -0.845422 | -0.790296 | -0.890450 | 0.056241 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.344488 | -0.262039 | -0.999277 | -0.589918 | 0.344488 | -0.716305 | -0.703203 | 0.004013 | -1.129812 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 3.478956 | -0.801193 | -0.018645 | 1.561684 | -0.142493 | -0.554798 | -0.231539 | -1.149256 | 3.478956 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.789485 | 0.126819 | -0.901905 | 0.007351 | 0.789485 | -0.024505 | -0.735037 | 0.335147 | -1.202047 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 6.982788 | -0.895283 | -0.332874 | 0.781369 | -0.372852 | 0.392281 | -0.344746 | -0.348796 | 6.982788 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.490755 | -0.824286 | -0.227899 | -0.108323 | -0.012157 | -1.396906 | -0.225412 | -0.935321 | 0.490755 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.543153 | -0.801156 | -0.932849 | 0.543153 | -0.958182 | -1.461674 | -1.146554 | -0.552611 | 0.328657 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 1.655332 | -0.890314 | -0.439896 | 1.655332 | -0.583437 | 0.003696 | 0.149540 | -0.363398 | 0.359954 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 1.091667 | -0.961049 | -1.520434 | -0.652337 | 1.091667 | -0.461341 | 0.084337 | -0.493009 | -0.722417 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 1.429997 | -0.856710 | -1.803726 | 0.278473 | -0.363546 | -0.317352 | -0.341996 | 1.429997 | -0.303807 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.348729 | -0.913621 | -1.880983 | 0.184342 | -0.173108 | 0.047559 | -0.785233 | 0.348729 | -0.160209 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | 6.234013 | -2.000887 | -0.663992 | -0.452625 | -0.482939 | -0.012549 | 0.653259 | 6.234013 | 5.990923 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 1.320963 | -0.812560 | -1.613717 | -0.132214 | 0.658581 | -0.510037 | 0.474093 | 1.320963 | -0.901876 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 1.547770 | -0.761395 | -1.047241 | -0.778062 | 1.547770 | -1.254118 | -1.054727 | 0.438571 | -0.576333 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.937673 | -1.686392 | -0.521904 | 0.937673 | -0.888162 | -0.442082 | -0.583312 | -0.976061 | -0.539960 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.568631 | -0.669099 | -1.256925 | -0.760476 | 0.140446 | -0.340073 | -0.715838 | 0.568631 | -0.859050 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.193023 | -1.087081 | -0.839568 | -0.787408 | 0.193023 | -0.290217 | -0.888744 | -0.028054 | -0.867027 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Variability | 0.405543 | -1.132956 | -0.377296 | -0.911700 | -0.248803 | -0.605554 | 0.405543 | -0.696411 | 0.021273 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Power | 0.089088 | -0.715546 | -0.520492 | -0.678495 | 0.089088 | -0.363806 | -1.420396 | -0.338271 | -0.564840 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.263418 | -0.431354 | -0.203733 | -0.342641 | -1.280866 | -0.569500 | -0.848232 | -0.836954 | 0.263418 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | -0.170866 | -0.657245 | -1.007184 | -0.979885 | -0.299774 | -0.944841 | -0.170866 | -0.531626 | -0.235396 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.122908 | -0.284692 | -0.796784 | -0.152918 | -0.267379 | -0.148566 | -0.069821 | 0.122908 | -0.246005 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 1.010462 | -0.727853 | -0.932843 | -0.878567 | -0.298455 | -0.778560 | -0.295177 | 1.010462 | -0.567203 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.271043 | -0.813459 | -1.001146 | -0.914500 | -0.609487 | -1.049448 | 0.271043 | 0.192127 | -0.313651 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.184420 | -0.839583 | -0.549866 | -0.636558 | -0.885577 | -0.624229 | -1.061446 | -0.402074 | 0.184420 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.519573 | -0.672486 | -0.329455 | -0.170948 | -0.137110 | 0.519573 | -0.388342 | -0.036103 | -0.145776 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.329400 | -0.420220 | -0.710796 | -0.165706 | -0.074634 | -0.638630 | 0.329400 | -0.062607 | -0.148516 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.018484 | -0.504865 | -0.921577 | -1.012436 | -0.442774 | -1.196459 | -0.827947 | 0.018484 | 0.014587 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 2.090993 | -0.447634 | -0.504094 | 0.093023 | -0.712144 | 0.059401 | -0.149630 | 1.849201 | 2.090993 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 0.533884 | -0.574628 | -0.657342 | -0.680382 | 0.031398 | -0.003624 | -0.583324 | 0.533884 | 0.180421 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 1.027638 | -0.861294 | -1.118732 | -0.791824 | -0.924817 | -0.024958 | -0.808776 | 0.475435 | 1.027638 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | -0.551094 | -1.188818 | -1.228368 | -0.853484 | -0.970115 | -1.109031 | -0.933880 | -0.607063 | -0.551094 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | -0.316203 | -1.293502 | -0.922816 | -0.892499 | -1.039324 | -0.316203 | -0.908475 | -0.752234 | -0.511404 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | -0.022465 | -1.218801 | -1.061970 | -0.922544 | -0.770718 | -0.022465 | -0.604206 | -1.105905 | -0.896348 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | -0.520965 | -0.870839 | -1.438248 | -0.890936 | -0.924815 | -0.755530 | -1.129173 | -0.985041 | -0.520965 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.611164 | -0.845653 | -0.621985 | -0.629007 | 0.611164 | -1.097643 | -0.545628 | -0.748335 | -1.073566 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | -0.298754 | -1.349669 | -1.123692 | -0.840386 | -1.023051 | -0.298754 | -1.034899 | -0.705022 | -0.850117 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 2.109008 | -0.384254 | 0.555182 | 0.042345 | 0.396566 | 2.109008 | 0.615834 | 0.032565 | -1.455202 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | Not Found | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 3.087984 | -0.382441 | 0.625464 | 0.012218 | 0.570430 | 3.087984 | -1.145216 | 0.867512 | -1.183056 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 1.154881 | -1.112704 | -0.880055 | -0.422957 | 0.684437 | 1.154881 | -0.449898 | -0.451673 | -0.697267 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | -0.512055 | -0.852873 | -1.118832 | -0.886195 | -0.891564 | -0.953619 | -1.001647 | -0.761486 | -0.512055 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 3.111512 | 0.570957 | -0.589710 | 0.596731 | 0.248286 | -0.152937 | 3.111512 | -0.809612 | 0.548010 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.568559 | 0.568559 | -0.467915 | 0.548027 | 0.088673 | -0.580873 | -0.372964 | -1.266693 | 0.268757 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.656132 | 0.656132 | -0.370429 | 0.459245 | 0.320300 | -0.282881 | -0.080599 | -1.253373 | 0.029756 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Variability | 0.520305 | -0.713804 | -0.866299 | 0.059230 | -0.283831 | 0.520305 | -1.457000 | -0.858702 | -0.611616 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.521072 | -0.621963 | 0.329418 | 0.112440 | 0.521072 | 0.228763 | -0.941053 | 0.030539 | -1.195131 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.339381 | 0.065006 | -1.011204 | 0.339381 | -0.270084 | 0.290238 | -0.109037 | -0.687586 | -0.297416 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | 0.840612 | 0.062716 | -0.759126 | 0.284713 | -0.140891 | -0.691169 | 0.171284 | -1.044754 | 0.840612 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.471563 | 0.313043 | -0.495718 | 0.320210 | -0.054957 | -0.620577 | 0.471563 | -1.228417 | 0.255845 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.143607 | 0.074659 | -0.758309 | 0.143607 | -0.136496 | -0.874834 | -0.325897 | -1.110046 | 0.117636 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.468144 | -1.103147 | -0.409397 | -0.653756 | 0.468144 | -1.027335 | -0.000073 | -0.683156 | -1.411405 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 1.437472 | -0.775189 | -0.085520 | -0.116296 | 0.202710 | 1.437472 | 0.200934 | -0.377635 | -1.204169 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.337121 | -0.013869 | -0.741747 | 0.224099 | 0.001584 | 0.205616 | 0.337121 | -0.898211 | 0.005791 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 5.459593 | -0.619584 | 0.315951 | 0.054927 | 0.293360 | 5.459593 | -0.017109 | 0.980614 | -0.344756 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | 0.494838 | -0.461418 | 0.417083 | -0.286239 | 0.006538 | 0.157420 | -0.556071 | 0.494838 | -0.695493 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 1.504396 | -0.732884 | 0.163891 | -0.024023 | 0.335080 | 1.504396 | -0.632222 | 0.880969 | -0.841381 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.557553 | -0.856864 | -0.377099 | -0.013240 | 0.557553 | -0.831815 | 0.139823 | -0.726540 | -1.300310 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | 0.658610 | 0.319552 | -0.769497 | 0.532146 | 0.068195 | -0.803891 | 0.325333 | -0.588358 | 0.658610 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.893356 | -0.380415 | -1.006381 | 0.893356 | -0.374780 | -0.365431 | -1.251272 | -1.620697 | -0.911791 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.458571 | 0.458571 | -0.214267 | 0.044009 | -0.332875 | -1.047629 | 0.187123 | -0.907574 | -0.198316 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 1.427864 | 0.614207 | -0.034415 | 0.452771 | -0.151181 | -0.878872 | 1.427864 | -0.849200 | -0.174937 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.361265 | -0.982427 | -0.792554 | -0.020096 | 0.361265 | -0.778107 | 0.113104 | -0.814329 | -0.886886 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.739981 | 0.739981 | 0.734227 | -1.257451 | -1.522068 | -1.405599 | -1.415485 | 0.515351 | -0.073416 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Shape | 0.546070 | 0.546070 | -0.024907 | 0.392254 | -0.133481 | -1.093482 | -0.004742 | -0.858228 | -0.172712 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.611289 | 0.466170 | -0.441778 | 0.326728 | -0.438497 | -0.818774 | 0.611289 | -0.672158 | 0.443146 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.812773 | 0.622195 | -0.044404 | 0.812773 | -0.119829 | -0.357155 | -0.693960 | -1.659622 | -0.023513 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Power | 0.259340 | -1.563192 | -1.237026 | -0.276527 | 0.259340 | -0.569708 | -0.942022 | -0.445827 | -0.116382 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Variability | 0.539091 | -1.226961 | -1.499055 | -0.521976 | -0.849073 | -1.397318 | 0.539091 | -0.177865 | -0.324406 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Discontinuties | 317.510342 | 86.681934 | 86.681934 | 76.948327 | 76.948327 | 80.483240 | 80.483240 | 317.510342 | 317.510342 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | ee Temporal Discontinuties | 863.944984 | 256.807998 | 256.807998 | 254.804328 | 254.804328 | 261.868637 | 261.868637 | 863.944984 | 863.944984 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | N01 | digital_ok | nn Temporal Variability | 1.567717 | -0.881676 | -1.284623 | -0.044366 | -0.152141 | 1.567717 | -0.972210 | -1.226984 | -1.284587 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | 1 | digital_ok | ee Temporal Variability | 0.673241 | -0.633673 | -0.359293 | 0.346467 | 0.191367 | 0.673241 | 0.073684 | -0.057578 | 0.454171 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | 1 | digital_ok | nn Power | 0.333752 | -0.917840 | 0.298001 | -0.775331 | 0.333752 | -0.815486 | -0.095445 | -0.905094 | 0.120424 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | 1 | digital_ok | nn Temporal Discontinuties | 2.231639 | -1.174908 | -1.128805 | -0.119268 | 0.285958 | 0.031486 | -0.408117 | -0.493862 | 2.231639 |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | 1 | digital_ok | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
---|---|---|---|---|---|---|---|---|---|---|---|---|
29 | 1 | digital_ok | nn Temporal Discontinuties | 1.104879 | -1.438751 | -0.787243 | -0.937648 | 0.273960 | -0.408507 | -0.424308 | -0.441595 | 1.104879 |