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 = "16" 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 | 0.00% | 0.00% | 0.00% | 0.00% | 4.00% | 4.00% | -0.706909 | -0.653546 | -0.671126 | -0.090795 | 1.851587 | 3.352170 | 2.557162 | 3.805501 | 0.8140 | 0.5552 | 0.5712 | 1.586564 | 1.326162 |
2459808 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.167835 | -1.063514 | -0.463241 | -0.710098 | -0.485292 | -0.586302 | 1.659713 | 3.059390 | 0.7797 | 0.7231 | 0.4742 | 2.662492 | 2.612147 |
2459807 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.380651 | -0.681971 | -0.856351 | -0.057005 | -1.060743 | -1.076554 | -0.105997 | 0.072876 | 0.7691 | 0.7137 | 0.4674 | 2.824466 | 2.766451 |
2459806 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.550617 | -0.688009 | -1.164156 | 0.131011 | -1.310543 | 0.051892 | 7.401898 | 7.111016 | 0.7482 | 0.6508 | 0.4095 | 5.529218 | 5.747668 |
2459805 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.484079 | -0.475864 | -0.961466 | 0.348761 | -0.908651 | -0.891836 | 1.846666 | 6.613356 | 0.7707 | 0.7296 | 0.4613 | 5.563722 | 6.681424 |
2459804 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.353491 | -0.521306 | -0.817366 | -0.293533 | -0.479136 | -0.868582 | 1.098414 | 1.859190 | 0.7674 | 0.7320 | 0.4484 | 2.863354 | 2.720122 |
2459803 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.225469 | -1.062451 | -0.454553 | -0.772493 | -0.780593 | 0.104547 | 7.074176 | 6.746058 | 0.7624 | 0.7321 | 0.4657 | 8.681351 | 8.594215 |
2459802 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.67% | -0.490395 | -1.180441 | -0.646707 | -0.744904 | -0.879291 | -0.848286 | 2.477510 | 2.485450 | 0.7695 | 0.6340 | 0.4927 | 2.059770 | 1.810871 |
2459801 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.073832 | -0.659802 | -0.708921 | -0.374254 | -1.415001 | -1.782673 | 8.659362 | 5.915650 | 0.7884 | 0.7304 | 0.4663 | 7.637705 | 7.946841 |
2459800 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.031511 | -0.899477 | -0.716087 | -0.551793 | -0.880730 | -0.991717 | 11.499663 | 14.056726 | 0.7551 | 0.7307 | 0.4356 | 6.879489 | 8.173737 |
2459799 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.07% | 0.00% | -0.878225 | -0.678193 | -0.946547 | -0.052361 | -1.261661 | -0.892823 | 2.485895 | 2.460260 | 0.7510 | 0.6498 | 0.4142 | 1.589142 | 1.456781 |
2459798 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.058703 | -0.744682 | -0.217442 | -0.852425 | -0.304283 | -1.245535 | 4.320495 | 11.500240 | 0.7316 | 0.7087 | 0.4530 | 5.628737 | 6.885229 |
2459797 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.391853 | -0.905681 | -0.772915 | -0.247437 | -1.004159 | -0.889148 | 2.609872 | 6.275968 | 0.7365 | 0.7162 | 0.4335 | 6.295503 | 10.413262 |
2459796 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.252743 | -0.809867 | -0.576151 | -0.164119 | -0.703476 | -0.792607 | 5.184821 | 13.077456 | 0.7149 | 0.6993 | 0.4238 | 7.639497 | 11.992843 |
2459795 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.088355 | -0.910846 | -0.652097 | -0.646042 | -0.142864 | -1.084363 | 7.807116 | 9.797036 | 0.7090 | 0.6936 | 0.4237 | 9.226282 | 10.157571 |
2459794 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.286804 | -1.751055 | -0.554140 | -0.476796 | -0.699201 | -0.719240 | 5.628432 | 6.877466 | 0.7088 | 0.6934 | 0.4314 | 15.136862 | 14.709997 |
2459793 | 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 |
2459792 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.293758 | -1.082098 | -0.770086 | 0.877568 | -1.280627 | -0.645433 | 3.580697 | 1.192562 | 0.7529 | 0.6499 | 0.4120 | 1.909752 | 1.709178 |
2459791 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.919211 | -0.235452 | -0.237951 | 1.019967 | -0.264340 | 2.487011 | 1.025119 | 6.970182 | 0.6908 | 0.6787 | 0.4056 | 7.911753 | 12.460527 |
2459790 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 13.16% | -0.798114 | -0.252875 | -0.700884 | 1.152372 | -1.211257 | 0.270441 | 1.109652 | -0.869004 | 0.6852 | 0.6813 | 0.4080 | 2.368784 | 2.301993 |
2459789 | 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 |
2459788 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.059436 | -1.268600 | 0.271619 | 0.040580 | -0.066384 | 0.362082 | 6.434504 | 12.884100 | 0.6733 | 0.6687 | 0.3908 | 30.975369 | 36.680833 |
2459787 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.095362 | -1.509956 | 0.012116 | 0.139829 | 0.847285 | -0.350957 | 6.223963 | 8.188082 | 0.6657 | 0.6607 | 0.3869 | 22.521009 | 29.193923 |
2459786 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.630197 | -0.976003 | -1.004358 | 0.813427 | -0.677471 | -0.367935 | 7.256681 | 5.071857 | 0.6507 | 0.6448 | 0.3710 | 23.788904 | 44.140275 |
2459785 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.780254 | -0.136496 | -0.519737 | 6.677203 | -0.833057 | 1.361915 | 2.756996 | -0.000911 | 0.7556 | 0.6579 | 0.4107 | 6.683476 | 9.036440 |
2459784 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.311613 | 0.801456 | -0.970894 | 5.553104 | -0.379745 | 1.818505 | 2.031809 | 0.423669 | 0.6077 | 0.6016 | 0.3577 | 21.280020 | 51.545165 |
2459783 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.809744 | -0.803428 | -1.289599 | -0.356125 | -0.245025 | -1.385523 | 2.346039 | 0.101984 | 0.6000 | 0.5934 | 0.3458 | 2.175935 | 2.273083 |
2459782 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.094411 | -0.694629 | -0.779395 | -0.120124 | -0.800720 | -1.011542 | 1.612875 | 0.794902 | 0.5768 | 0.5699 | 0.3336 | 1.924337 | 2.009245 |
2459781 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.375612 | -1.204917 | -0.343269 | -0.895131 | -0.057022 | -0.939667 | 0.996685 | 1.194903 | 0.7531 | 0.6972 | 0.3528 | 2.256963 | 2.332889 |
2459778 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.60% | -1.004662 | -0.753967 | -1.113405 | -0.206434 | -0.855051 | -1.567143 | 3.233218 | 2.873399 | 0.7342 | 0.6346 | 0.4026 | 2.075634 | 1.877462 |
2459776 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.022538 | -0.396148 | -1.048565 | 0.071867 | 0.208212 | -0.100798 | 6.286563 | 6.854295 | 0.7579 | 0.6359 | 0.4181 | 4.344150 | 4.123502 |
2459774 | digital_ok | - | 0.52% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7284 | 0.6261 | 0.4026 | nan | nan |
2459773 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.26% | 7.89% | -1.072026 | -0.226368 | -0.856647 | 0.827651 | -0.915036 | -0.048945 | 2.119081 | -1.135070 | 0.4840 | 0.4811 | 0.2880 | 1.772665 | 1.917431 |
2459772 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.164820 | -1.408531 | -0.875848 | -1.005475 | -0.619025 | -0.620816 | 0.956892 | -0.192871 | 0.4881 | 0.4808 | 0.2840 | 1.444645 | 1.563172 |
2459771 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.67% | -0.944525 | -1.224290 | -0.786002 | -0.885896 | -0.605443 | -0.830124 | 0.920190 | -0.609320 | 0.7313 | 0.6315 | 0.4035 | 2.065094 | 1.858890 |
2459770 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 10.53% | -0.878855 | -0.714065 | -0.412355 | -0.377089 | -0.514095 | -0.743214 | 2.423266 | 1.280090 | 0.5215 | 0.5132 | 0.3013 | 1.794368 | 1.746282 |
2459769 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.038885 | -0.444734 | -0.828741 | 0.246285 | 0.099334 | -0.915695 | 2.898822 | -0.000960 | 0.5231 | 0.5138 | 0.3076 | 1.766577 | 1.736005 |
2459768 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.815729 | -0.179000 | -0.931845 | 0.811999 | 0.064777 | -0.297867 | 6.013157 | 2.217397 | 0.5293 | 0.5181 | 0.3104 | 4.003060 | 4.040500 |
2459767 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.572204 | -1.589436 | -0.373159 | -1.050376 | 0.322737 | -0.512723 | 3.278842 | 0.646624 | 0.5501 | 0.5363 | 0.3014 | 1.692470 | 1.792834 |
2459766 | 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 |
2459765 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.068520 | -0.308427 | -0.834697 | 0.673812 | -1.094069 | 0.611020 | 2.162083 | 0.034582 | 0.5462 | 0.5327 | 0.3193 | 2.116563 | 2.059917 |
2459764 | digital_ok | - | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459763 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.634912 | 1.069962 | 0.080956 | -0.539436 | 9.759171 | 8.444480 | 14.419254 | 12.688810 | 0.7424 | 0.6622 | 0.4395 | 5.010313 | 5.818039 |
2459761 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.235285 | -0.109114 | -0.330995 | 0.392110 | 0.090189 | -0.400982 | 1.925599 | -0.661159 | 0.5765 | 0.5625 | 0.3357 | 1.915102 | 1.892245 |
2459760 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.090102 | 0.239963 | -0.792848 | 0.899847 | 0.286356 | -0.003305 | 11.149532 | 3.076704 | 0.5874 | 0.5746 | 0.3424 | 16.565422 | 18.192918 |
2459759 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.806653 | -1.573615 | -0.509783 | -0.839993 | -0.145792 | -0.364109 | 2.071726 | 1.013808 | 0.5228 | 0.5137 | 0.3166 | 1.715664 | 1.560955 |
2459758 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.973854 | -1.219100 | -0.597699 | -1.083542 | -0.628613 | -0.745436 | 3.180128 | 1.058322 | 0.6016 | 0.5831 | 0.3635 | 1.818977 | 1.804539 |
2459757 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.691044 | -0.910069 | -0.596620 | -0.766713 | -0.560685 | -1.053285 | 2.013235 | 0.768000 | 0.7492 | 0.6567 | 0.3988 | 2.673176 | 2.049153 |
2459755 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.568916 | -1.534453 | -0.258012 | -1.122685 | 0.077740 | -0.567219 | 2.412731 | 0.420736 | 0.6202 | 0.6102 | 0.3566 | 1.650873 | 1.610041 |
2459754 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.839032 | -1.269894 | -0.454243 | -0.935306 | -0.436995 | -1.104160 | 0.802808 | -0.533637 | 0.6325 | 0.6187 | 0.3740 | 1.446104 | 1.444040 |
2459753 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.816206 | -1.808095 | -0.542302 | -1.068802 | -0.484262 | -0.309868 | 2.177933 | -0.128188 | 0.6127 | 0.5986 | 0.3903 | 1.577445 | 1.617045 |
2459752 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.669900 | -0.561410 | -0.756360 | 1.008198 | 8.263798 | 0.047904 | 7.676023 | 0.397970 | 0.6158 | 0.6010 | 0.3908 | 3.504504 | 4.166765 |
2459750 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 9.73% | -1.030444 | -0.206069 | -0.712897 | 0.762449 | -1.354882 | 0.174721 | 2.753373 | 1.397209 | 0.6712 | 0.5625 | 0.3844 | 2.118162 | 1.487210 |
2459749 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.872285 | -1.679232 | -0.437624 | -1.197838 | -0.540566 | -1.323708 | 3.876368 | -0.235995 | 0.0788 | 0.0784 | 0.0079 | 1.079738 | 1.075294 |
2459748 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.820710 | -1.057030 | -0.566878 | -0.518100 | 0.979299 | -0.623735 | 1.574729 | -0.203827 | 0.0543 | 0.0582 | 0.0050 | 1.158634 | 1.155084 |
2459747 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.338869 | 0.679603 | -0.604355 | -0.006508 | 0.751005 | -0.401485 | -0.541866 | -0.927473 | 0.0312 | 0.0302 | 0.0006 | 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% | - | - | -0.650118 | 0.072285 | -1.041364 | -0.500560 | 0.070266 | 0.023362 | 2.785373 | -0.452263 | 0.0308 | 0.0320 | 0.0013 | nan | nan |
2459738 | digital_ok | 100.00% | 51.61% | 51.61% | 0.00% | 100.00% | 0.00% | -0.617548 | -0.183029 | -1.023214 | 0.687407 | 1.335858 | 0.460502 | 5.601583 | 3.693056 | 0.4019 | 0.4011 | 0.2214 | 3.285255 | 4.370240 |
2459736 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 6.49% | -1.152688 | -1.164869 | -0.861268 | -0.819742 | -0.547621 | -0.851363 | 1.502012 | -0.308636 | 0.7398 | 0.6461 | 0.4238 | 2.028943 | 2.023833 |
2459734 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.760724 | 0.118608 | -0.500722 | -0.008259 | 0.234604 | 2.139843 | 1.170567 | -0.469266 | 0.0293 | 0.0311 | 0.0021 | nan | nan |
2459733 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.494566 | 0.517499 | -0.608638 | 0.110214 | 0.453351 | 0.842479 | 0.828809 | -0.906073 | 0.0299 | 0.0301 | 0.0016 | nan | nan |
2459732 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.373171 | 0.796533 | -0.451610 | 0.044345 | 0.140268 | 0.462226 | 0.364985 | -1.034152 | 0.0308 | 0.0304 | 0.0010 | nan | nan |
2459731 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.113497 | -0.572579 | -1.102519 | 0.446979 | 1.377671 | 0.045477 | 3.185183 | 1.070682 | 0.7130 | 0.7059 | 0.4039 | 2.305918 | 2.831995 |
2459730 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.576804 | 0.535106 | -0.569386 | 0.120632 | 0.489957 | 0.735881 | 0.460603 | -0.837037 | 0.0313 | 0.0307 | 0.0006 | nan | nan |
2459728 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.076179 | -0.162841 | -1.085224 | -0.419090 | -1.038692 | -0.586729 | -0.058415 | -0.020685 | 0.0301 | 0.0301 | 0.0021 | nan | nan |
2459726 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.769970 | 0.052198 | -0.782079 | -0.161028 | -0.078769 | 0.271916 | -0.075771 | -0.503262 | 0.0313 | 0.0308 | 0.0019 | nan | nan |
2459724 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.719333 | 0.132488 | -0.822742 | -0.200775 | 1.038161 | 2.156810 | 0.058463 | -0.568010 | 0.0303 | 0.0301 | 0.0010 | nan | nan |
2459723 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.909855 | -0.077542 | -0.843362 | -0.353959 | 0.009191 | 0.469981 | -0.317219 | -0.674371 | 0.0302 | 0.0298 | 0.0009 | nan | nan |
2459722 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.947727 | -0.773662 | -1.173828 | 0.757947 | -0.495395 | -0.016101 | 0.601790 | -0.401867 | 0.7275 | 0.6467 | 0.4314 | 2.552651 | 2.326312 |
2459720 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.714838 | 0.022052 | -0.752702 | -0.232561 | -1.041199 | -0.898954 | -0.673359 | 0.013740 | 0.0309 | 0.0307 | 0.0016 | nan | nan |
2459719 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.761679 | -0.004499 | -0.644060 | -0.244658 | -1.265210 | -1.615003 | -0.247003 | -0.528327 | 0.0303 | 0.0300 | 0.0012 | nan | nan |
2459718 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.025439 | 0.066800 | -0.648410 | -0.586258 | -0.671933 | -0.751873 | 0.511601 | -0.363751 | 0.0306 | 0.0297 | 0.0009 | nan | nan |
2459717 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.013369 | 0.099639 | -0.666120 | -0.669583 | -1.181421 | -0.481552 | 1.861987 | -0.504615 | 0.0296 | 0.0301 | 0.0017 | nan | nan |
2459716 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.962126 | -0.020673 | -0.754907 | -0.286588 | -0.848189 | -0.569389 | 1.487377 | -0.475822 | 0.0308 | 0.0314 | 0.0010 | nan | nan |
2459715 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.411586 | -0.612877 | 0.015345 | 0.530007 | 0.448446 | -0.078163 | 2.562736 | 0.164180 | 0.7064 | 0.6316 | 0.4374 | 2.471331 | 2.334972 |
2459713 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.088865 | 0.146096 | -0.670761 | -0.222031 | -0.702452 | 0.167104 | 1.920260 | -0.284699 | 0.0307 | 0.0303 | 0.0006 | nan | nan |
2459712 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.413517 | -0.945664 | 0.753828 | 0.657936 | 0.764985 | -0.183683 | 3.318247 | 3.025643 | 0.6322 | 0.6240 | 0.3744 | 3.040474 | 3.025172 |
2459711 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.446558 | 0.386912 | -0.854278 | -0.370848 | -0.678722 | 0.222860 | -0.122484 | -0.802593 | 0.0303 | 0.0297 | 0.0015 | nan | nan |
2459710 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.285509 | 0.533898 | -0.809725 | -0.043319 | -0.894390 | -0.130123 | 0.629203 | -0.676575 | 0.0302 | 0.0298 | 0.0007 | nan | nan |
2459708 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -0.853381 | -0.625184 | -0.983862 | 0.261598 | -0.366704 | -0.190300 | 9.650024 | 3.430485 | 0.7057 | 0.6429 | 0.4162 | 0.000000 | 0.000000 |
2459707 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.674584 | 0.838734 | -1.007343 | -1.380600 | -1.517404 | -1.530178 | -0.044490 | -0.542161 | 0.0315 | 0.0323 | 0.0015 | 1.085752 | 1.088677 |
2459706 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.054041 | 0.498033 | -0.540552 | 0.018526 | 0.240031 | 0.634485 | -0.358810 | -0.752650 | 0.0304 | 0.0302 | 0.0012 | nan | nan |
2459705 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.476725 | 0.244615 | -0.982273 | -0.709908 | -0.943066 | -0.475988 | 0.408811 | -0.280476 | 0.0300 | 0.0297 | 0.0016 | nan | nan |
2459703 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.106958 | 0.340451 | -0.927286 | -0.520510 | 0.299830 | 0.008971 | 1.561843 | -1.047971 | 0.0323 | 0.0311 | 0.0034 | nan | nan |
2459702 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.460448 | -0.455374 | -1.138075 | -0.079720 | -0.687046 | -0.294847 | 1.823864 | 0.796649 | 0.6424 | 0.6477 | 0.3275 | 2.161457 | 2.045343 |
2459701 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.225224 | -0.362687 | -0.582174 | -0.674571 | -0.575523 | -0.549146 | 2.692181 | 4.276379 | 0.6515 | 0.6552 | 0.3222 | 11.396396 | 15.486410 |
2459697 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1602.453849 | 1602.453849 | 1481.672567 | 1481.672567 | 1212.596343 | 1212.596343 | 5765.273928 | 5765.273928 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459696 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 95.601442 | 95.601442 | 85.275704 | 85.275704 | 89.275155 | 89.275155 | 355.703699 | 355.703699 | 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% | 76.903060 | 76.903060 | 74.844685 | 74.844685 | 79.048712 | 79.048712 | 262.814051 | 262.814051 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459694 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 10.81% | -0.820032 | -0.447172 | -0.936606 | 0.232664 | -1.097089 | -0.465403 | 2.738806 | -0.093916 | 0.6634 | 0.6261 | 0.4012 | 2.104279 | 2.023276 |
2459693 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.197940 | -0.918505 | -1.071880 | 0.234841 | 0.223450 | -0.432474 | -1.238787 | 0.311108 | 0.7223 | 0.7074 | 0.2761 | 2.806368 | 2.642196 |
2459692 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.760688 | -1.197060 | -0.206661 | -0.790113 | 0.049078 | -0.457479 | -0.315883 | -0.856456 | 0.7319 | 0.7529 | 0.2362 | 2.865571 | 3.251167 |
2459691 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | 0.00% | -1.021354 | 0.008499 | -1.174567 | -0.540842 | -0.760586 | 0.124656 | 3.185495 | 2.649841 | 0.6234 | 0.6185 | 0.3238 | 2.087278 | 2.048330 |
2459690 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.696634 | -0.004311 | -0.663970 | -0.254590 | 0.070075 | -0.511419 | 1.806247 | 2.445443 | 0.6407 | 0.6320 | 0.3578 | 1.357846 | 1.377154 |
2459689 | digital_ok | 100.00% | - | - | - | - | - | -0.400902 | 0.374043 | 0.217445 | -0.577456 | 0.442340 | -0.179176 | 4.451097 | 6.856269 | 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 | 1.765179 | 1.710002 |
2459687 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459686 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | -1.004767 | -0.714783 | -0.739193 | -0.165258 | -0.299134 | -1.070038 | 1.260062 | 0.443541 | 0.6328 | 0.6362 | 0.3459 | 2.029410 | 1.905119 |
2459685 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.957123 | 0.214781 | -0.834866 | -0.034823 | -1.092653 | -0.951038 | 1.327286 | 2.771204 | 0.6398 | 0.6366 | 0.3438 | 1.184490 | 1.153659 |
2459684 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.917163 | 0.174345 | -0.935421 | 0.085413 | -1.020792 | -0.382673 | 0.169505 | 0.548797 | 0.6397 | 0.6402 | 0.3483 | 1.781530 | 1.803877 |
2459676 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.33% | 1.33% | -0.672194 | -0.856087 | -0.817442 | -0.138608 | -1.240770 | -1.481124 | 3.303329 | 2.374863 | 0.6304 | 0.6345 | 0.3638 | 1.790249 | 1.707762 |
2459675 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.67% | 0.00% | -0.977797 | -1.034418 | -1.004566 | 0.120515 | -0.329532 | -1.019775 | 2.092721 | 0.745715 | 0.6374 | 0.6434 | 0.3607 | 1.705848 | 1.596787 |
2459674 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.146681 | -1.063223 | -0.863434 | 0.309946 | -0.993864 | -1.519709 | 1.823684 | -0.271898 | 0.6356 | 0.6402 | 0.3653 | 1.656375 | 1.710565 |
2459673 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 40.54% | 50.27% | -0.604065 | -0.826745 | -0.805789 | 0.324770 | -0.500856 | -0.254410 | 3.060196 | 2.519149 | 0.6509 | 0.6425 | 0.3724 | 0.821066 | 0.818645 |
2459672 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 8.00% | 0.00% | -0.487504 | -0.720107 | -0.925736 | -0.169594 | -0.972266 | -0.699901 | 1.215598 | 0.728223 | 0.6424 | 0.6468 | 0.3601 | 1.018265 | 1.331983 |
2459671 | digital_ok | 100.00% | 32.97% | 32.97% | 0.00% | 100.00% | 0.00% | -0.437056 | -0.034211 | -0.467255 | 0.344463 | -0.743205 | -0.614117 | 3.501261 | 5.078822 | 0.4878 | 0.4838 | 0.2804 | 8.188775 | 7.582792 |
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% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459668 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 0.54% | -0.847208 | -0.749819 | -0.895708 | -0.262584 | -0.703284 | -0.766978 | 1.923148 | -0.085856 | 0.7094 | 0.6941 | 0.3395 | 2.253925 | 2.126215 |
2459665 | 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 |
2459664 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.328163 | -0.924849 | -1.029906 | -0.297835 | -0.846123 | -0.725174 | -0.499286 | 0.165458 | 0.0277 | 0.0275 | 0.0013 | nan | nan |
2459663 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.235755 | -0.758062 | -0.683875 | 0.284990 | 0.330913 | -1.114774 | 3.060604 | 2.100973 | 0.6469 | 0.6474 | 0.3516 | 0.997282 | 0.982265 |
2459662 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.459935 | -0.018838 | -0.563164 | -0.868577 | -0.815276 | -0.521680 | -0.034673 | 0.120427 | 0.0313 | 0.0315 | 0.0007 | nan | nan |
2459661 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.561657 | -0.616412 | -1.133546 | 0.042379 | -0.423108 | -0.701354 | 0.181547 | 0.121661 | 0.6892 | 0.6786 | 0.3196 | 1.947636 | 1.837959 |
2459660 | digital_ok | 0.00% | 0.64% | 0.64% | 0.00% | 0.00% | 0.00% | -0.184715 | -0.682472 | -0.757391 | -0.479799 | 0.085739 | -0.907555 | 0.741748 | 0.562662 | 0.6877 | 0.6711 | 0.3236 | 1.628200 | 1.560469 |
2459659 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.294118 | -0.445452 | -1.102802 | -0.150123 | -0.730397 | -0.697732 | 1.637258 | 1.538634 | 0.6468 | 0.6429 | 0.3463 | 1.441327 | 1.428935 |
2459658 | 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 |
2459657 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.520673 | -0.692021 | -1.068726 | -0.008643 | -0.148666 | -0.758530 | 1.887436 | 0.884081 | 0.6715 | 0.6547 | 0.3402 | 1.697154 | 1.675195 |
2459656 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.566179 | -0.626803 | -1.007327 | 0.027304 | -0.787966 | -0.686000 | 2.220900 | 1.797730 | 0.6212 | 0.6185 | 0.3583 | 1.334893 | 1.440734 |
2459655 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.358299 | 0.281642 | 0.051372 | -0.566801 | -0.086172 | 1.667114 | 0.348698 | -0.433337 | 0.0312 | 0.0298 | 0.0009 | nan | nan |
2459653 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -1.111799 | -0.573852 | 0.050430 | 0.771421 | -0.360099 | -0.277317 | 3.340981 | 0.686176 | 0.6401 | 0.6397 | 0.3501 | 1.539159 | 1.490106 |
2459652 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.520232 | -0.908551 | -0.845643 | 0.097040 | -0.835528 | -0.792424 | 2.432219 | -0.407030 | 0.6242 | 0.6242 | 0.3569 | 1.252190 | 1.250020 |
2459651 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.017098 | 0.602008 | -0.818217 | 0.263466 | 0.016823 | 0.074482 | -0.378445 | -0.231248 | 0.8477 | 0.8446 | 0.1412 | 10.307521 | 10.412784 |
2459650 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.669026 | -0.832176 | -0.879415 | -0.108095 | -0.222965 | -0.443235 | 0.032000 | -0.706118 | 0.7769 | 0.7556 | 0.2623 | 2.609614 | 2.433174 |
2459649 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | -0.481731 | -0.566639 | -0.866692 | -0.250648 | -0.302306 | -0.535682 | 1.941964 | 1.501007 | 0.6641 | 0.6507 | 0.3259 | 1.932151 | 1.888161 |
2459648 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459647 | digital_ok | 100.00% | 81.63% | 81.63% | 0.00% | 100.00% | 0.00% | 0.222948 | 0.222948 | 1034.745343 | 1034.745343 | 31035.115584 | 31035.115584 | 7.399630 | 7.399630 | 0.2085 | 0.2085 | 0.0000 | 0.021768 | 0.021768 |
2459646 | digital_ok | 0.00% | 17.34% | 17.88% | 0.00% | 18.28% | 0.00% | -0.639402 | -0.840981 | -0.756705 | -0.022286 | -0.675068 | -0.877985 | 2.106926 | 0.993955 | 0.4799 | 0.4805 | 0.2486 | 1.888752 | 1.811132 |
2459645 | digital_ok | 0.00% | 16.22% | 17.30% | 0.00% | 17.30% | 1.62% | -0.736696 | -1.023467 | -1.122141 | -0.262972 | -0.612681 | -1.438353 | 0.259298 | -1.280062 | 0.6011 | 0.6286 | 0.2195 | 3.029163 | 3.279539 |
2459642 | digital_ok | 0.00% | 14.64% | 15.72% | 0.00% | 16.13% | 0.00% | -1.020732 | -1.228335 | -0.674127 | -0.017013 | 0.007894 | -0.345627 | 2.207107 | 0.610770 | 0.4711 | 0.4700 | 0.2498 | 1.751542 | 1.601725 |
2459641 | digital_ok | - | 55.70% | 55.70% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.4676 | 0.4612 | 0.0059 | nan | nan |
2459640 | digital_ok | 0.00% | 13.51% | 14.05% | 0.00% | 14.05% | 0.00% | -0.653885 | -0.683125 | -0.917815 | 0.070699 | 1.263211 | -0.091585 | 1.240884 | -0.073658 | 0.4761 | 0.4825 | 0.2477 | 2.084240 | 2.137440 |
2459639 | digital_ok | 0.00% | 12.48% | 13.56% | 0.00% | 13.98% | 0.00% | -0.599172 | -0.993012 | -0.931911 | -0.409203 | 0.625848 | 0.081834 | 2.657960 | 1.475682 | 0.4899 | 0.4929 | 0.2439 | 2.318199 | 2.226606 |
2459638 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6489 | 0.6619 | 0.2368 | nan | nan |
2459637 | digital_ok | 0.00% | 11.35% | 11.89% | 0.00% | 11.89% | 0.00% | -0.423682 | -0.549727 | 0.023783 | -0.947680 | -0.027761 | 0.459582 | 1.552012 | 1.707346 | 0.4676 | 0.4659 | 0.2430 | 1.975212 | 1.999328 |
2459636 | digital_ok | 0.00% | 10.81% | 11.89% | 0.00% | 11.89% | 0.00% | -0.610702 | -0.561952 | 0.004281 | -0.494516 | 0.685014 | 0.785985 | 0.041804 | 0.223284 | 0.4682 | 0.4669 | 0.2440 | 1.905266 | 1.952368 |
2459635 | digital_ok | 0.00% | 10.32% | 10.32% | 0.00% | 10.75% | 0.00% | -0.764452 | -0.464778 | -0.205224 | -0.771236 | -0.086577 | 0.344226 | 1.199873 | 0.553262 | 0.4793 | 0.4737 | 0.2495 | 1.930512 | 1.956740 |
2459634 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.312697 | 0.312697 | 0.313119 | 0.313119 | 0.235536 | 0.235536 | 0.234744 | 0.234744 | 1.0000 | 1.0000 | 0.0000 | 0.035449 | 0.035449 |
2459633 | digital_ok | 0.00% | 9.24% | 9.78% | 0.00% | 10.22% | 0.00% | -0.560516 | -0.259312 | -0.144632 | -0.414177 | 1.210335 | 1.047858 | 0.753804 | 1.236690 | 0.4737 | 0.4725 | 0.2563 | 1.978656 | 1.983177 |
2459632 | digital_ok | 0.00% | 8.11% | 9.19% | 0.00% | 9.19% | 0.54% | -0.732294 | -0.392131 | -0.232453 | -0.201553 | 0.520020 | 0.329880 | 0.610487 | 0.621372 | 0.4762 | 0.4717 | 0.2549 | 1.932174 | 1.952735 |
2459631 | digital_ok | 0.00% | 7.57% | 8.11% | 0.00% | 8.11% | 0.00% | -0.177445 | 0.072974 | -0.230834 | -0.081558 | 1.141082 | 0.008451 | 0.828071 | 1.352909 | 0.4835 | 0.4787 | 0.2507 | 1.947119 | 1.945754 |
2459630 | digital_ok | 0.00% | 6.54% | 7.08% | 0.00% | 7.53% | 1.61% | -0.203105 | -0.073817 | -0.538438 | -0.429155 | 0.832569 | 0.210051 | 1.809609 | 1.769929 | 0.4840 | 0.4817 | 0.2520 | 1.575587 | 1.601942 |
2459629 | digital_ok | 0.00% | 6.54% | 7.08% | 0.00% | 7.53% | 0.00% | -0.048225 | -0.231577 | 0.035927 | -0.001833 | 0.795835 | -0.067262 | 0.724564 | 0.862137 | 0.5126 | 0.5001 | 0.2486 | 1.770026 | 1.790658 |
2459628 | digital_ok | 0.00% | 5.95% | 5.95% | 0.00% | 5.95% | 0.00% | -0.237794 | -0.187983 | -0.390097 | -0.305566 | 0.457311 | -0.133583 | 1.797392 | 3.059627 | 0.4819 | 0.4760 | 0.2577 | 2.147228 | 2.065670 |
2459627 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 17.57% | 0.218073 | 0.218073 | 0.217570 | 0.217570 | 0.251743 | 0.251743 | 0.251625 | 0.251625 | 1.0000 | 1.0000 | 0.0000 | 0.012143 | 0.012143 |
2459626 | digital_ok | 0.00% | 4.38% | 4.38% | 0.00% | 4.84% | 0.00% | -0.382412 | -0.567628 | -1.021791 | -0.386877 | -0.087047 | -0.865508 | 0.568573 | 0.823349 | 0.5037 | 0.5015 | 0.2617 | 2.253959 | 2.109316 |
2459625 | digital_ok | 0.00% | 3.84% | 8.16% | 0.00% | 8.60% | 0.00% | -0.909804 | 0.123015 | 0.168161 | -0.785650 | 0.085380 | 0.215724 | 0.606775 | 1.026183 | 0.4815 | 0.4679 | 0.2605 | 1.733271 | 1.766004 |
2459624 | digital_ok | 0.00% | 2.70% | 3.78% | 0.00% | 3.78% | 0.00% | -0.571262 | 0.213520 | -0.643293 | -0.548299 | 1.009901 | -0.003381 | 0.839913 | 2.193065 | 0.4877 | 0.4817 | 0.2530 | 2.194373 | 2.197004 |
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% | 4.86% | 0.00% | 0.00% | 0.00% | -0.762185 | -0.066054 | 0.442631 | -0.111732 | 0.805423 | 0.811144 | 0.671793 | 1.910870 | 0.4987 | 0.4974 | 0.2731 | 0.953703 | 1.019930 |
2459621 | digital_ok | 0.00% | - | - | - | 21.74% | 0.00% | -1.315741 | -0.672734 | -1.101288 | -0.684479 | 0.040265 | -0.218082 | 0.376626 | 0.026949 | nan | nan | nan | 3.515416 | 3.732538 |
2459620 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -1.012489 | -0.579530 | 0.192965 | -0.315755 | -0.639255 | 0.795975 | 2.449556 | 0.500460 | 0.0299 | 0.0296 | 0.0011 | nan | nan |
2459619 | digital_ok | 0.00% | 0.54% | 0.54% | 0.00% | 85.95% | 0.00% | -0.227323 | -0.428559 | -0.219668 | -0.592174 | 0.326302 | -0.121032 | 0.609367 | 2.062423 | 0.5228 | 0.5207 | 0.2740 | 0.000000 | 0.000000 |
2459618 | digital_ok | 0.00% | 0.00% | 0.59% | 0.00% | 0.00% | 0.00% | -0.045224 | 1.050324 | -0.517199 | -0.370868 | 0.841539 | 0.210055 | 0.839597 | 1.395683 | 0.5090 | 0.5032 | 0.2825 | 1.648279 | 1.673759 |
2459617 | digital_ok | 100.00% | 0.00% | 0.54% | 0.00% | 100.00% | 0.00% | -0.160225 | 0.598035 | -0.896080 | -0.173614 | 1.325603 | 0.250270 | 4.880312 | 4.940486 | 0.5245 | 0.5209 | 0.2744 | 8.531794 | 9.282699 |
2459616 | digital_ok | 0.00% | 0.54% | 4.86% | 0.00% | 5.91% | 0.00% | -0.275055 | 1.368533 | 0.255243 | -0.309376 | 0.967484 | -0.314983 | 1.496409 | 1.787132 | 0.5084 | 0.4915 | 0.2866 | 1.111103 | 1.224634 |
2459615 | digital_ok | 0.00% | 0.00% | 2.16% | 0.00% | 5.41% | 1.62% | -1.081723 | 1.303329 | -0.888735 | -0.142382 | 0.955661 | 0.079940 | 1.272199 | 2.024872 | 0.5114 | 0.5021 | 0.2865 | 1.176263 | 1.245676 |
2459614 | digital_ok | 0.00% | 0.54% | 1.62% | 0.00% | 1.61% | 95.16% | -0.843047 | 1.475223 | -1.200705 | -0.119803 | 0.696851 | 0.062047 | 1.323225 | 2.365922 | 0.5096 | 0.4948 | 0.2830 | 0.000000 | 0.000000 |
2459613 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459612 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 253.666322 | 253.362641 | inf | inf | 96.702627 | 101.144090 | 1347.170198 | 1262.845605 | nan | nan | nan | 0.000000 | 0.000000 |
2459611 | digital_ok | 0.00% | 2.66% | 0.00% | 0.00% | 2.65% | 0.00% | -0.292925 | 0.364031 | -0.781806 | -0.321345 | 0.024216 | -0.340273 | 1.592115 | 0.177553 | 0.5182 | 0.5253 | 0.2683 | 1.781960 | 1.702731 |
2459610 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.842848 | 1.394548 | -0.082368 | -0.408225 | 0.175629 | 0.166547 | 0.141354 | -0.012922 | 0.5971 | 0.5964 | 0.2456 | 1.905794 | 1.981478 |
2459609 | digital_ok | 0.00% | 3.24% | 1.62% | 0.00% | 4.86% | 1.08% | -0.693013 | 1.838953 | 0.733169 | -0.703780 | 1.280485 | 0.412698 | 0.162603 | 0.504781 | 0.5611 | 0.5557 | 0.2521 | 1.754720 | 1.861082 |
2459608 | digital_ok | 0.00% | 1.62% | 1.08% | 0.00% | 1.61% | 0.00% | -0.684344 | 1.527910 | 0.170153 | -0.256524 | 1.346421 | 0.617594 | 0.741663 | -0.171007 | 0.5122 | 0.5060 | 0.2883 | 1.589512 | 1.697512 |
2459607 | digital_ok | 0.00% | 44.86% | 51.35% | 0.00% | 22.35% | 0.00% | -1.401483 | 2.451824 | 0.813436 | -0.589152 | 0.743869 | -0.479545 | 1.108609 | 0.485168 | 0.3174 | 0.3094 | 0.1767 | 1.635524 | 1.562328 |
2459605 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.697211 | -0.518150 | 0.216433 | -0.136334 | -0.389608 | 0.660288 | -1.327621 | 0.134770 | 0.0310 | 0.0279 | 0.0022 | nan | nan |
2459604 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 1.61% | -0.253965 | 0.669844 | -0.265670 | -0.138995 | 2.270190 | -0.047070 | 0.297908 | -0.112285 | 0.5837 | 0.5704 | 0.2471 | 1.916043 | 1.948810 |
2459603 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 331.250163 | 314.782058 | inf | inf | -3241.194882 | 3881.325094 | -3217.318439 | 3842.333302 | nan | nan | nan | 0.000000 | 0.000000 |
2459602 | digital_ok | 0.00% | 0.54% | 0.00% | 0.00% | 1.08% | 1.08% | -0.576809 | -0.313798 | 0.474546 | -0.635537 | 0.772785 | 0.539383 | -0.087938 | 0.980617 | 0.5320 | 0.5450 | 0.2893 | 2.070055 | 2.066121 |
2459598 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 326.910506 | 326.403450 | inf | inf | 52.555922 | 57.839944 | 613.047927 | 692.257265 | nan | nan | nan | 0.000000 | 0.000000 |
2459597 | digital_ok | 0.00% | 0.00% | 1.62% | 0.00% | 3.23% | 3.23% | -0.652714 | -0.479446 | 0.528695 | -0.972438 | 0.797239 | 0.649874 | 0.197610 | 1.356224 | 0.5468 | 0.5431 | 0.2668 | 2.151638 | 2.038059 |
2459596 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.61% | 0.00% | -0.446989 | -0.754902 | -0.153790 | -0.297221 | 0.691980 | 0.021446 | 0.385416 | 1.528172 | 0.5454 | 0.5421 | 0.2904 | 1.726267 | 1.670454 |
2459595 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.00% | -0.577671 | -0.924752 | -0.362055 | -0.001910 | -0.304100 | -0.445563 | 0.203450 | -0.278948 | 0.6914 | 0.6829 | 0.1837 | 2.455083 | 2.529408 |
2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.00% | 0.370065 | -0.824006 | -0.268376 | -0.355439 | 1.923496 | 0.324688 | -0.205742 | -0.700634 | 0.7402 | 0.7229 | 0.2445 | 3.105429 | 3.100645 |
2459593 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.15% | 0.54% | -0.457599 | -0.579318 | -1.011927 | -0.705878 | -0.150000 | 0.066848 | 0.430224 | -0.260447 | 0.6629 | 0.6413 | 0.2090 | 2.486759 | 2.311512 |
2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.336159 | -0.838672 | 0.022318 | -0.783037 | -0.306307 | 0.922936 | -1.653016 | 0.006173 | 0.0277 | 0.0302 | 0.0024 | nan | nan |
2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 10.27% | -0.684888 | 0.396974 | -1.037039 | -0.089187 | 0.089767 | 0.717095 | 0.810465 | 0.887961 | 0.5429 | 0.5457 | 0.3026 | 1.990059 | 1.939748 |
2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | -0.653441 | 0.613613 | -0.740796 | -0.078317 | 0.827835 | 0.673596 | 0.633725 | 1.691932 | 0.5466 | 0.5456 | 0.2992 | 2.069663 | 1.913586 |
2459589 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.00% | -0.541303 | -0.219462 | -0.793208 | -0.164917 | -0.828138 | -1.107800 | -0.345437 | -0.413645 | 0.6305 | 0.6091 | 0.2328 | 1.875468 | 1.808335 |
2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.54% | -0.401258 | -0.113204 | 0.304265 | -0.811255 | 0.096002 | -0.441378 | 0.399053 | 0.379721 | 0.7301 | 0.6933 | 0.2023 | 4.219514 | 3.247825 |
2459587 | digital_ok | 0.00% | - | - | - | 4.20% | 0.00% | -0.363768 | 0.324516 | 0.695452 | -0.170739 | -0.423911 | -0.839150 | 0.570076 | 0.413437 | nan | nan | nan | 1.055935 | 1.054050 |
2459586 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.70% | 2.16% | -0.512087 | -0.689331 | -0.538995 | -0.690234 | 0.302467 | -0.343482 | 0.065294 | -0.089013 | 0.5504 | 0.5534 | 0.2904 | 1.961640 | 1.776850 |
2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.850473 | -0.412713 | 0.670860 | -1.146370 | -0.074419 | -0.490875 | 1.059890 | 0.289534 | 0.0309 | 0.0316 | 0.0015 | 0.000000 | 0.000000 |
2459584 | digital_ok | 0.00% | 30.01% | 31.81% | 0.00% | 34.13% | 0.00% | -1.292584 | 0.356047 | -0.924507 | -0.770326 | 0.717913 | -1.260746 | -0.317269 | -0.213985 | 0.4889 | 0.4916 | 0.2999 | 1.409154 | 1.355318 |
2459583 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.91% | 0.00% | -1.074405 | 0.307025 | 0.120876 | -0.893805 | 1.214847 | 1.641248 | 0.192887 | 1.281921 | 0.5336 | 0.5315 | 0.3213 | 1.601011 | 1.630489 |
2459582 | digital_ok | 0.00% | 1.62% | 4.86% | 0.00% | 8.65% | 0.00% | -0.754424 | -0.073822 | -0.176047 | -0.747659 | 1.608679 | 1.760475 | -0.039539 | 0.920297 | 0.5316 | 0.5311 | 0.3205 | 1.758695 | 1.604717 |
2459581 | digital_ok | 0.00% | 0.00% | 1.08% | 0.00% | 4.32% | 0.00% | -0.566328 | -0.210701 | 0.035944 | -0.612754 | 1.717501 | 1.449369 | 0.807037 | 1.972107 | 0.5462 | 0.5439 | 0.3211 | 1.785726 | 1.670999 |
2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -0.641365 | -0.139507 | -0.484840 | -0.520984 | 0.663007 | 1.286907 | 0.587178 | 0.913688 | 0.5532 | 0.5557 | 0.3166 | 2.033257 | 1.801779 |
2459579 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -0.282440 | 0.057992 | -0.076111 | -0.673496 | 1.400141 | 1.677286 | 0.606979 | 2.511314 | 0.5493 | 0.5511 | 0.3203 | 1.854320 | 1.712552 |
2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.701246 | 0.116266 | -0.603355 | -0.571174 | 0.248379 | 0.986156 | 0.723982 | -0.365647 | 0.0299 | 0.0307 | 0.0009 | nan | nan |
2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.468623 | -0.281692 | -0.233595 | -0.597529 | 1.081754 | 1.139140 | 0.871994 | 1.874694 | 0.5546 | 0.5585 | 0.3164 | 1.894841 | 1.744699 |
2459576 | 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 |
2459575 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.673967 | -0.768201 | -0.062883 | -0.886065 | 0.675477 | 1.129516 | -0.058634 | -0.646499 | 0.0516 | 0.0475 | 0.0039 | 0.837671 | 0.843071 |
2459574 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.225696 | -0.821549 | -0.274652 | -0.966755 | 0.659372 | 0.195961 | 0.964058 | 0.380838 | 0.0647 | 0.0615 | 0.0051 | 1.164296 | 1.165495 |
2459573 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.649105 | -1.002519 | -0.019669 | -0.874216 | 1.529661 | 1.597955 | 0.956472 | 2.016931 | 0.0608 | 0.0577 | 0.0057 | 0.000000 | 0.000000 |
2459572 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.605275 | -1.204663 | -0.447858 | -0.797981 | 0.701971 | 0.716799 | 1.407742 | 0.677847 | 0.0701 | 0.0561 | 0.0084 | 1.191077 | 1.197062 |
2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.379806 | 0.205638 | -0.859759 | -0.572191 | 0.459603 | 1.322062 | 1.130137 | -0.425785 | 0.0296 | 0.0286 | 0.0009 | nan | nan |
2459570 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.147455 | -1.631503 | -0.828200 | -1.968263 | -0.033667 | -1.089161 | 0.198737 | -0.194295 | 0.0493 | 0.0495 | 0.0042 | 0.000000 | 0.000000 |
2459569 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.931656 | -1.069797 | 0.000509 | -0.865406 | -0.349850 | -0.782038 | -0.117284 | -0.967051 | 0.0701 | 0.0641 | 0.0037 | 1.178632 | 1.181158 |
2459566 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.569840 | -0.391262 | 0.106578 | -0.796665 | 0.840112 | 0.909447 | 0.771663 | 1.052517 | 0.0651 | 0.0609 | 0.0056 | 0.811293 | 0.800046 |
2459565 | digital_ok | 0.00% | - | - | - | 73.33% | 0.00% | 0.070714 | 0.070714 | 0.026519 | 0.026519 | 0.526814 | 0.526814 | 0.051858 | 0.051858 | nan | nan | nan | 0.000000 | 0.000000 |
2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -0.087695 | -1.723205 | 0.042235 | -1.043260 | 0.565073 | 0.404206 | 0.849230 | 1.751553 | 0.7105 | 0.7084 | 0.4000 | 2.060843 | 1.715386 |
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% | 0.00% | -0.349762 | -1.629494 | 0.017327 | -0.634007 | 1.245925 | 1.272975 | 0.598885 | 0.909116 | 0.7048 | 0.7060 | 0.3881 | 1.840637 | 1.564704 |
2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 13.98% | 0.00% | -1.059134 | -0.909306 | -0.366455 | -0.818358 | 1.178325 | 1.856699 | 0.856067 | 1.123888 | 0.7058 | 0.7067 | 0.3965 | 1.623414 | 1.495065 |
2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0303 | 0.0335 | 0.0027 | nan | nan |
2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.564847 | -1.014742 | -0.624294 | -0.923696 | 1.774713 | 1.745376 | 2.313020 | 3.707975 | 0.7087 | 0.7095 | 0.3934 | 1.750346 | 1.568910 |
2459554 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6989 | 0.6966 | 0.4152 | nan | nan |
2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.7080 | 0.6993 | 0.3979 | nan | nan |
2459552 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.297297 | -0.387008 | -0.156798 | 0.134508 | 0.507573 | -1.265238 | 0.004242 | 0.726133 | 0.7168 | 0.7092 | 0.3973 | -0.000000 | -0.000000 |
2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.302385 | -1.279472 | 0.224709 | -0.663041 | 1.503674 | 1.172374 | 0.645628 | 1.694238 | 0.7079 | 0.7040 | 0.3937 | 1.948373 | 1.615899 |
2459550 | digital_ok | - | 99.18% | 99.18% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0397 | 0.0391 | 0.0007 | nan | nan |
2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.910070 | -0.017049 | 0.071886 | -0.747312 | 0.981201 | 1.267033 | 0.487662 | 1.518089 | 0.7083 | 0.7042 | 0.4055 | 1.900296 | 1.667633 |
2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -0.960792 | -0.311230 | -0.340144 | -0.543239 | 0.866935 | -0.185313 | 0.776658 | 0.201392 | 0.7657 | 0.7543 | 0.3595 | 1.758334 | 1.483827 |
2459541 | digital_ok | 0.00% | 1.34% | 1.79% | 0.00% | 21.88% | 0.00% | -0.883720 | -0.194041 | -1.004154 | -0.320829 | -0.671876 | -1.283152 | -0.368048 | -0.833545 | 0.7605 | 0.7419 | 0.3353 | 1.570877 | 1.388406 |
2459540 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -0.562708 | -0.256915 | 0.036772 | -0.233157 | 0.440249 | -0.102427 | 0.289111 | 0.407043 | 0.7578 | 0.7398 | 0.3660 | 1.463668 | 1.357422 |
2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -1.450916 | 0.687362 | -0.876286 | 0.503642 | 0.036189 | -0.662665 | 0.268454 | 0.220666 | 0.7363 | 0.7337 | 0.4202 | 2.170082 | 1.809380 |
2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | -0.357002 | -0.630422 | 0.220187 | -0.225737 | 0.154436 | -0.633421 | 0.463414 | 1.174656 | 0.7874 | 0.7578 | 0.3753 | 1.920678 | 1.607204 |
2459534 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | -0.322086 | -0.660200 | 0.362631 | -0.146345 | 0.344921 | -0.219378 | 0.531291 | 0.345611 | 0.7793 | 0.7576 | 0.3617 | 1.885504 | 1.682963 |
2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.00% | -0.708332 | 0.761006 | -0.266884 | -0.837240 | 1.845228 | 1.743288 | 0.671770 | 1.373727 | 0.7232 | 0.7152 | 0.4099 | 1.844593 | 1.618779 |
2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 0.56% | -1.008116 | 0.323956 | -0.326554 | -0.876218 | 0.279876 | 0.734038 | 0.006337 | 1.204993 | 0.7235 | 0.7112 | 0.4131 | 1.872121 | 1.603526 |
2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 0.00% | -0.263300 | -0.704534 | 0.090230 | -0.348058 | 1.103486 | 0.872272 | 0.582912 | 0.636088 | 0.7422 | 0.7292 | 0.4076 | 1.974674 | 1.696799 |
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% | -0.002100 | -0.602083 | 0.566538 | -0.994409 | -0.688191 | -0.284907 | 0.918943 | -0.346252 | 0.9017 | 0.9270 | 0.3213 | 0.000000 | 0.000000 |
2459523 | digital_ok | 0.00% | - | - | - | 22.45% | 0.00% | -0.628372 | -0.187539 | 0.636012 | -0.847781 | -0.721315 | 1.058000 | 0.533621 | 2.057078 | nan | nan | nan | 2.589572 | 2.100487 |
2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.334031 | -1.129514 | -0.187619 | -0.675720 | -0.542335 | 0.676451 | 1.703484 | 2.273053 | 0.7047 | 0.6435 | 0.3836 | 1.630976 | 1.561104 |
2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.312367 | 0.095437 | -0.591837 | -0.804123 | -0.384774 | 2.298526 | 0.638211 | -0.401929 | 0.0332 | 0.0337 | 0.0041 | nan | nan |
2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -0.358714 | -1.177575 | 0.770172 | -0.539753 | 0.230683 | 0.089768 | 0.723656 | -0.663210 | 0.9038 | 0.9302 | 0.2061 | 0.000000 | 0.000000 |
2459505 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.777380 | -1.256010 | -0.172055 | -0.890635 | -0.432823 | 0.821540 | 0.879163 | -0.006045 | 0.8956 | 0.8592 | 0.1984 | 7.724116 | 4.063224 |
2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | -0.335852 | -0.956808 | -0.675565 | -0.673416 | -1.061006 | 0.246916 | 0.319321 | -0.470235 | 0.8497 | 0.8415 | 0.4802 | 0.000000 | 0.000000 |
2459501 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.381446 | -0.922149 | -0.512360 | -0.988559 | 1.005431 | 1.413572 | 0.541489 | 0.469454 | 0.0865 | 0.0867 | 0.0073 | 0.000000 | 0.000000 |
2459500 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.225190 | -1.436176 | -0.099036 | -1.012122 | -0.157540 | -0.908227 | 0.150355 | 0.753357 | 0.0989 | 0.0876 | 0.0068 | 0.000000 | 0.000000 |
2459499 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 18.660950 | -1.509117 | 11.492914 | -0.939647 | 22.814059 | -0.937558 | 16.039462 | 1.609952 | 0.1447 | 0.0823 | 0.0396 | 0.000000 | 0.000000 |
2459498 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.361094 | -0.676722 | -0.603426 | -1.068812 | -0.771964 | -1.123088 | 0.617034 | 0.049164 | 0.0958 | 0.0895 | 0.0079 | 0.000000 | 0.000000 |
2459497 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.223059 | -1.092981 | -1.021979 | -0.781680 | -1.262322 | -1.439058 | 0.531539 | 1.110684 | 0.1023 | 0.1067 | 0.0113 | 0.000000 | 0.000000 |
2459496 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.077059 | -1.602671 | -0.393756 | -1.022663 | -1.336975 | -1.274346 | 0.398216 | -0.005189 | 0.1049 | 0.1154 | 0.0107 | 0.000000 | 0.000000 |
2459495 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.024960 | -1.037887 | -0.304318 | -0.940016 | -0.908605 | -1.014325 | 0.031707 | -0.370004 | 0.1224 | 0.1120 | 0.0094 | 0.000000 | 0.000000 |
2459494 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.488663 | -1.497571 | 0.018698 | -0.901736 | -0.668290 | -1.162008 | 0.643670 | 0.369629 | 0.1135 | 0.0983 | 0.0093 | 0.000000 | 0.000000 |
2459492 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.669991 | -0.664344 | -0.878270 | 0.305977 | -0.039987 | 1.930740 | 1.394506 | 10.864976 | 0.7573 | 0.8052 | 0.3336 | 12.046153 | 9.025901 |
2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -1.646605 | -1.336756 | -0.287302 | 0.528226 | 0.180282 | -0.046183 | 0.371002 | 0.317460 | 0.8032 | 0.8224 | 0.2664 | 0.918125 | 0.807441 |
2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -2.227896 | -0.698047 | -0.443935 | 0.986280 | -0.679921 | 0.018011 | 0.551864 | -0.775766 | 0.7480 | 0.8035 | 0.3729 | 2.053209 | 1.741340 |
2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -1.958307 | -1.056720 | -0.584500 | 0.289228 | 0.350286 | -0.051154 | 0.375543 | -0.805249 | 0.7706 | 0.8144 | 0.3125 | 1.925486 | 1.659465 |
2459488 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.174118 | -1.266520 | 0.411151 | 0.180559 | -0.469734 | -0.034017 | 7.999430 | 3.318015 | 0.7688 | 0.8155 | 0.3543 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 3.805501 | -0.653546 | -0.706909 | -0.090795 | -0.671126 | 3.352170 | 1.851587 | 3.805501 | 2.557162 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 3.059390 | -1.063514 | -0.167835 | -0.710098 | -0.463241 | -0.586302 | -0.485292 | 3.059390 | 1.659713 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 0.072876 | -0.681971 | -0.380651 | -0.057005 | -0.856351 | -1.076554 | -1.060743 | 0.072876 | -0.105997 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 7.401898 | -0.550617 | -0.688009 | -1.164156 | 0.131011 | -1.310543 | 0.051892 | 7.401898 | 7.111016 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 6.613356 | -0.484079 | -0.475864 | -0.961466 | 0.348761 | -0.908651 | -0.891836 | 1.846666 | 6.613356 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 1.859190 | -0.521306 | -0.353491 | -0.293533 | -0.817366 | -0.868582 | -0.479136 | 1.859190 | 1.098414 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 7.074176 | 0.225469 | -1.062451 | -0.454553 | -0.772493 | -0.780593 | 0.104547 | 7.074176 | 6.746058 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 2.485450 | -1.180441 | -0.490395 | -0.744904 | -0.646707 | -0.848286 | -0.879291 | 2.485450 | 2.477510 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 8.659362 | -0.659802 | -0.073832 | -0.374254 | -0.708921 | -1.782673 | -1.415001 | 5.915650 | 8.659362 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 14.056726 | -0.899477 | 0.031511 | -0.551793 | -0.716087 | -0.991717 | -0.880730 | 14.056726 | 11.499663 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.485895 | -0.678193 | -0.878225 | -0.052361 | -0.946547 | -0.892823 | -1.261661 | 2.460260 | 2.485895 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 11.500240 | -0.058703 | -0.744682 | -0.217442 | -0.852425 | -0.304283 | -1.245535 | 4.320495 | 11.500240 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 6.275968 | -0.905681 | -0.391853 | -0.247437 | -0.772915 | -0.889148 | -1.004159 | 6.275968 | 2.609872 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 13.077456 | -0.252743 | -0.809867 | -0.576151 | -0.164119 | -0.703476 | -0.792607 | 5.184821 | 13.077456 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 9.797036 | -0.910846 | 0.088355 | -0.646042 | -0.652097 | -1.084363 | -0.142864 | 9.797036 | 7.807116 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 6.877466 | -0.286804 | -1.751055 | -0.554140 | -0.476796 | -0.699201 | -0.719240 | 5.628432 | 6.877466 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.580697 | -1.293758 | -1.082098 | -0.770086 | 0.877568 | -1.280627 | -0.645433 | 3.580697 | 1.192562 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 6.970182 | -0.919211 | -0.235452 | -0.237951 | 1.019967 | -0.264340 | 2.487011 | 1.025119 | 6.970182 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Power | 1.152372 | -0.252875 | -0.798114 | 1.152372 | -0.700884 | 0.270441 | -1.211257 | -0.869004 | 1.109652 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 12.884100 | -1.268600 | 0.059436 | 0.040580 | 0.271619 | 0.362082 | -0.066384 | 12.884100 | 6.434504 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 8.188082 | 0.095362 | -1.509956 | 0.012116 | 0.139829 | 0.847285 | -0.350957 | 6.223963 | 8.188082 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 7.256681 | -0.976003 | -0.630197 | 0.813427 | -1.004358 | -0.367935 | -0.677471 | 5.071857 | 7.256681 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Power | 6.677203 | -0.136496 | -0.780254 | 6.677203 | -0.519737 | 1.361915 | -0.833057 | -0.000911 | 2.756996 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Power | 5.553104 | -0.311613 | 0.801456 | -0.970894 | 5.553104 | -0.379745 | 1.818505 | 2.031809 | 0.423669 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.346039 | -0.803428 | -0.809744 | -0.356125 | -1.289599 | -1.385523 | -0.245025 | 0.101984 | 2.346039 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.612875 | -0.694629 | -1.094411 | -0.120124 | -0.779395 | -1.011542 | -0.800720 | 0.794902 | 1.612875 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 1.194903 | -0.375612 | -1.204917 | -0.343269 | -0.895131 | -0.057022 | -0.939667 | 0.996685 | 1.194903 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.233218 | -0.753967 | -1.004662 | -0.206434 | -1.113405 | -1.567143 | -0.855051 | 2.873399 | 3.233218 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 6.854295 | -1.022538 | -0.396148 | -1.048565 | 0.071867 | 0.208212 | -0.100798 | 6.286563 | 6.854295 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.119081 | -0.226368 | -1.072026 | 0.827651 | -0.856647 | -0.048945 | -0.915036 | -1.135070 | 2.119081 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.956892 | -1.164820 | -1.408531 | -0.875848 | -1.005475 | -0.619025 | -0.620816 | 0.956892 | -0.192871 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.920190 | -1.224290 | -0.944525 | -0.885896 | -0.786002 | -0.830124 | -0.605443 | -0.609320 | 0.920190 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.423266 | -0.714065 | -0.878855 | -0.377089 | -0.412355 | -0.743214 | -0.514095 | 1.280090 | 2.423266 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.898822 | -0.444734 | -1.038885 | 0.246285 | -0.828741 | -0.915695 | 0.099334 | -0.000960 | 2.898822 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 6.013157 | -0.815729 | -0.179000 | -0.931845 | 0.811999 | 0.064777 | -0.297867 | 6.013157 | 2.217397 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.278842 | -0.572204 | -1.589436 | -0.373159 | -1.050376 | 0.322737 | -0.512723 | 3.278842 | 0.646624 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.162083 | -0.308427 | -1.068520 | 0.673812 | -0.834697 | 0.611020 | -1.094069 | 0.034582 | 2.162083 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 14.419254 | 1.634912 | 1.069962 | 0.080956 | -0.539436 | 9.759171 | 8.444480 | 14.419254 | 12.688810 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.925599 | -0.109114 | -1.235285 | 0.392110 | -0.330995 | -0.400982 | 0.090189 | -0.661159 | 1.925599 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 11.149532 | -1.090102 | 0.239963 | -0.792848 | 0.899847 | 0.286356 | -0.003305 | 11.149532 | 3.076704 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.071726 | -0.806653 | -1.573615 | -0.509783 | -0.839993 | -0.145792 | -0.364109 | 2.071726 | 1.013808 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.180128 | -0.973854 | -1.219100 | -0.597699 | -1.083542 | -0.628613 | -0.745436 | 3.180128 | 1.058322 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.013235 | -0.910069 | -0.691044 | -0.766713 | -0.596620 | -1.053285 | -0.560685 | 0.768000 | 2.013235 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.412731 | -0.568916 | -1.534453 | -0.258012 | -1.122685 | 0.077740 | -0.567219 | 2.412731 | 0.420736 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.802808 | -0.839032 | -1.269894 | -0.454243 | -0.935306 | -0.436995 | -1.104160 | 0.802808 | -0.533637 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.177933 | -1.808095 | -0.816206 | -1.068802 | -0.542302 | -0.309868 | -0.484262 | -0.128188 | 2.177933 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Variability | 8.263798 | -0.669900 | -0.561410 | -0.756360 | 1.008198 | 8.263798 | 0.047904 | 7.676023 | 0.397970 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.753373 | -1.030444 | -0.206069 | -0.712897 | 0.762449 | -1.354882 | 0.174721 | 2.753373 | 1.397209 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.876368 | -0.872285 | -1.679232 | -0.437624 | -1.197838 | -0.540566 | -1.323708 | 3.876368 | -0.235995 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.574729 | -0.820710 | -1.057030 | -0.566878 | -0.518100 | 0.979299 | -0.623735 | 1.574729 | -0.203827 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Variability | 0.751005 | -0.338869 | 0.679603 | -0.604355 | -0.006508 | 0.751005 | -0.401485 | -0.541866 | -0.927473 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.785373 | -0.650118 | 0.072285 | -1.041364 | -0.500560 | 0.070266 | 0.023362 | 2.785373 | -0.452263 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 5.601583 | -0.617548 | -0.183029 | -1.023214 | 0.687407 | 1.335858 | 0.460502 | 5.601583 | 3.693056 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.502012 | -1.164869 | -1.152688 | -0.819742 | -0.861268 | -0.851363 | -0.547621 | -0.308636 | 1.502012 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 2.139843 | 0.118608 | -0.760724 | -0.008259 | -0.500722 | 2.139843 | 0.234604 | -0.469266 | 1.170567 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 0.842479 | 0.517499 | -0.494566 | 0.110214 | -0.608638 | 0.842479 | 0.453351 | -0.906073 | 0.828809 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Shape | 0.796533 | 0.796533 | -0.373171 | 0.044345 | -0.451610 | 0.462226 | 0.140268 | -1.034152 | 0.364985 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.185183 | -0.572579 | -1.113497 | 0.446979 | -1.102519 | 0.045477 | 1.377671 | 1.070682 | 3.185183 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 0.735881 | -0.576804 | 0.535106 | -0.569386 | 0.120632 | 0.489957 | 0.735881 | 0.460603 | -0.837037 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | -0.020685 | -0.162841 | -1.076179 | -0.419090 | -1.085224 | -0.586729 | -1.038692 | -0.020685 | -0.058415 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 0.271916 | 0.052198 | -0.769970 | -0.161028 | -0.782079 | 0.271916 | -0.078769 | -0.503262 | -0.075771 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 2.156810 | 0.132488 | -0.719333 | -0.200775 | -0.822742 | 2.156810 | 1.038161 | -0.568010 | 0.058463 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 0.469981 | -0.077542 | -0.909855 | -0.353959 | -0.843362 | 0.469981 | 0.009191 | -0.674371 | -0.317219 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Power | 0.757947 | -0.947727 | -0.773662 | -1.173828 | 0.757947 | -0.495395 | -0.016101 | 0.601790 | -0.401867 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Shape | 0.022052 | -0.714838 | 0.022052 | -0.752702 | -0.232561 | -1.041199 | -0.898954 | -0.673359 | 0.013740 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Shape | -0.004499 | -0.004499 | -0.761679 | -0.244658 | -0.644060 | -1.615003 | -1.265210 | -0.528327 | -0.247003 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.511601 | -1.025439 | 0.066800 | -0.648410 | -0.586258 | -0.671933 | -0.751873 | 0.511601 | -0.363751 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.861987 | -1.013369 | 0.099639 | -0.666120 | -0.669583 | -1.181421 | -0.481552 | 1.861987 | -0.504615 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.487377 | -0.962126 | -0.020673 | -0.754907 | -0.286588 | -0.848189 | -0.569389 | 1.487377 | -0.475822 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.562736 | -0.411586 | -0.612877 | 0.015345 | 0.530007 | 0.448446 | -0.078163 | 2.562736 | 0.164180 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.920260 | 0.146096 | -1.088865 | -0.222031 | -0.670761 | 0.167104 | -0.702452 | -0.284699 | 1.920260 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 3.318247 | -0.945664 | -0.413517 | 0.657936 | 0.753828 | -0.183683 | 0.764985 | 3.025643 | 3.318247 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Shape | 0.386912 | 0.386912 | -0.446558 | -0.370848 | -0.854278 | 0.222860 | -0.678722 | -0.802593 | -0.122484 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.629203 | 0.533898 | -0.285509 | -0.043319 | -0.809725 | -0.130123 | -0.894390 | -0.676575 | 0.629203 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 9.650024 | -0.853381 | -0.625184 | -0.983862 | 0.261598 | -0.366704 | -0.190300 | 9.650024 | 3.430485 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Shape | 0.838734 | 0.838734 | 0.674584 | -1.380600 | -1.007343 | -1.530178 | -1.517404 | -0.542161 | -0.044490 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Variability | 0.634485 | 0.498033 | -0.054041 | 0.018526 | -0.540552 | 0.634485 | 0.240031 | -0.752650 | -0.358810 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 0.408811 | 0.244615 | -0.476725 | -0.709908 | -0.982273 | -0.475988 | -0.943066 | -0.280476 | 0.408811 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.561843 | 0.340451 | 0.106958 | -0.520510 | -0.927286 | 0.008971 | 0.299830 | -1.047971 | 1.561843 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 1.823864 | -1.460448 | -0.455374 | -1.138075 | -0.079720 | -0.687046 | -0.294847 | 1.823864 | 0.796649 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 4.276379 | -0.362687 | -1.225224 | -0.674571 | -0.582174 | -0.549146 | -0.575523 | 4.276379 | 2.692181 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 5765.273928 | 1602.453849 | 1602.453849 | 1481.672567 | 1481.672567 | 1212.596343 | 1212.596343 | 5765.273928 | 5765.273928 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | nn Temporal Discontinuties | 355.703699 | 95.601442 | 95.601442 | 85.275704 | 85.275704 | 89.275155 | 89.275155 | 355.703699 | 355.703699 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 262.814051 | 76.903060 | 76.903060 | 74.844685 | 74.844685 | 79.048712 | 79.048712 | 262.814051 | 262.814051 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | N01 | digital_ok | ee Temporal Discontinuties | 2.738806 | -0.447172 | -0.820032 | 0.232664 | -0.936606 | -0.465403 | -1.097089 | -0.093916 | 2.738806 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 1 | digital_ok | nn Temporal Discontinuties | 0.311108 | -1.197940 | -0.918505 | -1.071880 | 0.234841 | 0.223450 | -0.432474 | -1.238787 | 0.311108 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 1 | digital_ok | ee Temporal Variability | 0.049078 | -0.760688 | -1.197060 | -0.206661 | -0.790113 | 0.049078 | -0.457479 | -0.315883 | -0.856456 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 1 | digital_ok | ee Temporal Discontinuties | 3.185495 | -1.021354 | 0.008499 | -1.174567 | -0.540842 | -0.760586 | 0.124656 | 3.185495 | 2.649841 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 1 | digital_ok | nn Temporal Discontinuties | 2.445443 | -0.696634 | -0.004311 | -0.663970 | -0.254590 | 0.070075 | -0.511419 | 1.806247 | 2.445443 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
16 | 1 | digital_ok | nn Temporal Discontinuties | 6.856269 | -0.400902 | 0.374043 | 0.217445 | -0.577456 | 0.442340 | -0.179176 | 4.451097 | 6.856269 |