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 = "3" 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% | 0.00% | 8.00% | 3.191823 | -0.669178 | -0.514730 | -0.645229 | -0.227014 | -1.129125 | -0.584414 | 0.314047 | 0.7947 | 0.5288 | 0.5887 | 1.397425 | 1.103090 |
2459808 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.493558 | -0.528883 | -0.815192 | -1.105284 | -0.648503 | -0.549366 | -0.029958 | -0.185549 | 0.7417 | 0.6844 | 0.4922 | 2.108473 | 1.869417 |
2459807 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.403124 | -0.742428 | -0.869598 | -1.002930 | -0.731730 | -0.758731 | -0.968940 | -0.670335 | 0.7302 | 0.6716 | 0.4827 | 2.384840 | 2.014589 |
2459806 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.477639 | -0.680691 | -0.851975 | -1.149818 | 1.566465 | -0.995635 | -0.140363 | 0.516446 | 0.7234 | 0.6294 | 0.4193 | 1.467462 | 1.227348 |
2459805 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.467516 | -0.369553 | -0.563279 | -0.947430 | -0.708006 | -0.782695 | -0.338879 | -0.505154 | 0.7308 | 0.6878 | 0.4784 | 1.988226 | 1.610689 |
2459804 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.498251 | -0.329018 | -0.665672 | -0.862468 | -0.192137 | -0.349613 | 0.473102 | 0.411724 | 0.7292 | 0.6924 | 0.4651 | 2.181279 | 1.966457 |
2459803 | 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 |
2459802 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 1.282998 | -0.673323 | -0.782116 | -0.904891 | -0.734321 | -0.007785 | -0.309165 | 1.440351 | 0.7377 | 0.5966 | 0.5102 | 1.976354 | 1.660766 |
2459801 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.845750 | -0.443918 | -0.714037 | -0.931602 | -1.263001 | -0.631941 | -0.853873 | 2.988454 | 0.7472 | 0.6824 | 0.4861 | 1.864220 | 1.510305 |
2459800 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.427221 | -0.593920 | -0.700146 | -1.098408 | -0.970779 | -0.373702 | -0.543888 | 0.867414 | 0.7155 | 0.6926 | 0.4473 | 1.754339 | 1.568193 |
2459799 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.168996 | -0.474828 | -0.534224 | -0.831177 | 2.490439 | -0.596556 | 0.964243 | 0.811796 | 0.7220 | 0.6252 | 0.4178 | 1.683073 | 1.466373 |
2459798 | 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 |
2459797 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.365532 | -0.536552 | -0.531658 | -1.014937 | -0.975912 | -0.848606 | -0.588102 | -0.125496 | 0.6941 | 0.6761 | 0.4395 | 3.493481 | 3.159729 |
2459796 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.688261 | -0.509593 | -0.630471 | -0.824831 | -0.772564 | -0.911439 | -0.018787 | 0.030653 | 0.6805 | 0.6665 | 0.4279 | 4.140740 | 3.883192 |
2459795 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.600433 | -0.322827 | -0.714832 | -0.682183 | -0.829291 | -0.887922 | -0.763928 | 0.957708 | 0.6741 | 0.6628 | 0.4279 | 8.206402 | 7.723397 |
2459794 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.542359 | -0.820805 | -0.726882 | -1.042336 | -0.716104 | -0.229038 | -0.655759 | -0.905684 | 0.6754 | 0.6638 | 0.4374 | 0.000000 | 0.000000 |
2459793 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.468386 | -0.479098 | -0.240915 | -0.610412 | -1.269880 | -1.082439 | -0.614583 | 0.081929 | 0.6665 | 0.6573 | 0.4404 | 5.753162 | 6.383508 |
2459792 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.922288 | -1.128387 | -0.749341 | -0.811507 | 1.121711 | -0.594523 | -0.441784 | 0.188643 | 0.7265 | 0.6251 | 0.4165 | 5.162525 | 3.995716 |
2459791 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.575469 | -0.692198 | -0.681466 | -0.835437 | -1.021100 | -0.893015 | -0.729793 | -0.661920 | 0.6551 | 0.6451 | 0.4167 | 4.604931 | 4.440776 |
2459790 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.521002 | -0.415874 | -0.397819 | -0.637493 | -1.003110 | -0.481391 | -0.494977 | -0.089300 | 0.6462 | 0.6420 | 0.4158 | 3.571465 | 3.775135 |
2459789 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.226623 | -0.305161 | 0.411584 | -0.849328 | -0.206494 | -0.099303 | -0.177485 | 2.799504 | 0.6184 | 0.6107 | 0.4165 | 0.000000 | 0.000000 |
2459788 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.220092 | -0.460255 | 0.690047 | -0.818109 | -0.376090 | 0.028409 | -0.472174 | 0.678727 | 0.6337 | 0.6304 | 0.4020 | 7.924936 | 6.638814 |
2459787 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.469387 | -0.215856 | 0.205086 | -0.930803 | -0.378345 | -0.211659 | 1.906871 | 2.510861 | 0.6256 | 0.6218 | 0.3955 | 9.143629 | 7.177820 |
2459786 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.175814 | -0.198339 | -0.219839 | -0.971215 | -0.531983 | 0.236517 | -0.436856 | -0.021300 | 0.6116 | 0.6079 | 0.3791 | 11.301788 | 6.463827 |
2459785 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.747290 | -0.540244 | -0.566894 | -0.706554 | 1.488214 | -0.675867 | -0.646412 | -0.521861 | 0.7283 | 0.6290 | 0.4163 | 4.861514 | 4.562470 |
2459784 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.136938 | -0.450932 | 0.256376 | -0.573509 | -0.211614 | -0.564743 | -0.188793 | 0.643546 | 0.5692 | 0.5637 | 0.3559 | 11.975314 | 12.071859 |
2459783 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.045696 | -1.218863 | 0.216445 | -0.836474 | 0.117611 | -1.202596 | 0.776371 | 0.490490 | 0.5556 | 0.5549 | 0.3413 | 3.790890 | 3.732340 |
2459782 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.774810 | -1.119392 | -0.465939 | -0.495463 | -0.496512 | -0.919102 | -0.422270 | -0.602272 | 0.5330 | 0.5332 | 0.3348 | 3.271093 | 3.203509 |
2459781 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.061252 | -0.840749 | 0.132118 | -0.709711 | 0.186246 | -0.097647 | -0.009702 | 0.019053 | 0.7152 | 0.6676 | 0.3605 | 3.957168 | 3.652405 |
2459778 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.295376 | -1.245704 | -0.088374 | -0.696223 | -0.300828 | -1.456800 | -0.441608 | 2.019933 | 0.7015 | 0.6076 | 0.4060 | 4.162072 | 3.374514 |
2459776 | RF_maintenance | 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 |
2459774 | RF_maintenance | - | 0.52% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6997 | 0.6048 | 0.4046 | nan | nan |
2459773 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.251394 | 0.224837 | 1.669462 | 1.261253 | 0.653043 | 0.866287 | 0.107832 | 1.424094 | 0.4576 | 0.4633 | 0.2922 | 3.531006 | 3.689690 |
2459772 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.188785 | 0.560018 | 0.482394 | 0.855037 | 0.181387 | 0.962891 | 0.175011 | 1.028653 | 0.4637 | 0.4675 | 0.2824 | 2.654717 | 2.688063 |
2459771 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.034732 | 0.494354 | 0.489732 | 0.884724 | 0.014793 | 0.686081 | -0.068819 | 0.860622 | 0.7032 | 0.6085 | 0.4080 | 3.997804 | 3.702643 |
2459770 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.385525 | 0.406509 | 1.028800 | 1.083547 | 0.005685 | 1.035150 | 0.193888 | 0.440535 | 0.4777 | 0.4767 | 0.3014 | 3.796208 | 3.904482 |
2459769 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.594485 | 0.204919 | 0.873986 | 1.180278 | -0.238197 | 0.822299 | -0.326911 | 1.066403 | 0.4805 | 0.4809 | 0.3072 | 2.882825 | 2.755032 |
2459768 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.766062 | 0.250619 | 1.184163 | 1.311554 | 0.185118 | 0.962138 | -0.028558 | 1.518059 | 0.4869 | 0.4864 | 0.3108 | 3.115039 | 3.157996 |
2459767 | RF_maintenance | 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 |
2459766 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 0.736379 | 0.675408 | 0.775442 | 0.892150 | 0.538324 | 1.009501 | 0.082131 | 1.030066 | 0.4872 | 0.4869 | 0.3196 | 2.541954 | 2.616575 |
2459765 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.745063 | 0.682829 | 1.709504 | 2.070621 | -0.331926 | 0.066573 | -0.085589 | 3.996716 | 0.5044 | 0.5031 | 0.3208 | 3.517991 | 3.657835 |
2459764 | digital_ok | - | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459763 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.077730 | -0.189577 | 0.899755 | 0.927046 | 0.036166 | -0.287291 | -0.047420 | 0.033840 | 0.7095 | 0.6387 | 0.4569 | 3.754149 | 3.653071 |
2459761 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.153967 | 0.561869 | 1.410642 | 1.450516 | 0.078035 | 0.793498 | 0.234258 | 3.527080 | 0.5330 | 0.5323 | 0.3370 | 2.985004 | 3.154558 |
2459760 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.472006 | 0.182314 | 0.808742 | 1.438668 | 0.150612 | 1.133602 | 0.527342 | 3.889046 | 0.5428 | 0.5443 | 0.3438 | 5.769403 | 6.793634 |
2459759 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459758 | RF_maintenance | 100.00% | 70.43% | 83.87% | 0.00% | 100.00% | 0.00% | 9.041234 | 7.935870 | -0.300665 | 0.656739 | 4.080330 | 5.340726 | -0.399422 | 1.447628 | 0.3719 | 0.3595 | 0.1575 | 4.198939 | 4.352735 |
2459757 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.358292 | -0.169678 | -0.504366 | -0.819611 | -0.592317 | -0.783965 | -0.522880 | -0.324204 | 0.7191 | 0.6285 | 0.4089 | 3.521329 | 2.731794 |
2459755 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.783247 | -0.345843 | -0.419788 | -0.761806 | -0.769863 | -0.419028 | -0.255321 | -0.340967 | 0.5835 | 0.5825 | 0.3618 | 3.856080 | 4.013863 |
2459754 | RF_maintenance | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1.760477 | -0.592814 | -0.443519 | -0.537957 | 1.267630 | -0.159891 | 0.160307 | 0.768050 | 0.5935 | 0.5911 | 0.3794 | 3.976708 | 4.285861 |
2459753 | RF_maintenance | 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 |
2459752 | RF_maintenance | 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 |
2459750 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.430426 | 1.102570 | -0.350561 | -0.051744 | -0.143059 | -0.507710 | -0.279316 | 0.800517 | 0.6469 | 0.5454 | 0.3834 | 8.344441 | 7.777331 |
2459749 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 5.434857 | 3.612534 | 3.862827 | 4.528427 | 3.779318 | 3.064422 | -3.314270 | -2.888913 | 0.1184 | 0.1160 | 0.0234 | 1.131359 | 1.129254 |
2459748 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 4.374767 | 0.190570 | -0.313194 | -0.841928 | -0.738768 | -0.905490 | -0.136393 | -0.390999 | 0.0701 | 0.0657 | 0.0085 | 1.268709 | 1.265864 |
2459747 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.219411 | 0.491560 | -0.337993 | -0.233367 | -0.953055 | 0.668633 | -0.696920 | -0.676805 | 0.0316 | 0.0311 | 0.0017 | nan | nan |
2459746 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459745 | RF_maintenance | 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 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459743 | RF_maintenance | 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 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459741 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459740 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.377684 | 0.655370 | -0.316620 | -0.593897 | -0.700682 | -0.559868 | -0.849260 | 0.666711 | 0.0334 | 0.0326 | 0.0019 | nan | nan |
2459738 | RF_maintenance | 100.00% | 51.61% | 51.61% | 0.00% | 100.00% | 0.00% | 6.510581 | 0.960860 | -0.218636 | -0.306991 | 0.350047 | -1.376970 | -0.501816 | 0.136180 | 0.3975 | 0.4034 | 0.2280 | 3.134208 | 3.702245 |
2459736 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 7.57% | 2.766276 | -0.196873 | -0.649341 | -0.901844 | -0.618936 | -0.635263 | -0.557727 | -0.342271 | 0.7109 | 0.6193 | 0.4300 | 2.093823 | 1.826553 |
2459734 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.015422 | 0.520716 | 0.047077 | -0.125673 | -1.284937 | -0.673400 | -0.600231 | -0.051626 | 0.0355 | 0.0342 | 0.0029 | nan | nan |
2459733 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.077476 | 0.512634 | -0.185986 | -0.144753 | -1.084084 | -0.929643 | -0.521807 | -0.326734 | 0.0349 | 0.0331 | 0.0033 | nan | nan |
2459732 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.012909 | 0.562870 | -0.049934 | -0.320037 | -0.782712 | -0.737356 | -0.876848 | -0.288664 | 0.0358 | 0.0343 | 0.0029 | nan | nan |
2459731 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.515835 | 0.834092 | -0.418970 | -0.692663 | 0.971568 | -0.611145 | -0.309457 | 0.134441 | 0.6767 | 0.6829 | 0.4161 | 4.932711 | 6.615644 |
2459730 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.237732 | 0.365287 | -0.176398 | -0.129519 | -1.148086 | -0.821318 | -0.566166 | -0.385512 | 0.0319 | 0.0315 | 0.0019 | nan | nan |
2459728 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.784310 | -0.047683 | -0.577817 | -0.449331 | -1.217292 | -0.330784 | -0.550701 | -0.509310 | 0.0313 | 0.0301 | 0.0015 | nan | nan |
2459726 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459724 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.221514 | 0.194729 | -0.339369 | -0.347458 | -1.622558 | -1.251097 | -0.733774 | -0.089865 | 0.0312 | 0.0298 | 0.0016 | nan | nan |
2459723 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.445766 | 0.013656 | -0.383356 | -0.508598 | -1.104460 | -0.824943 | -0.664294 | -0.543078 | 0.0320 | 0.0301 | 0.0021 | nan | nan |
2459722 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.917742 | 0.569501 | -0.381803 | -0.504854 | -0.228889 | -0.867509 | -0.147676 | -0.126375 | 0.6969 | 0.6179 | 0.4399 | 4.748525 | 3.896571 |
2459720 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.641264 | -0.082850 | -0.449089 | -0.415493 | -0.608703 | -0.326590 | -0.397153 | 0.681753 | 0.0320 | 0.0294 | 0.0017 | nan | nan |
2459719 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.501050 | -0.146644 | -0.228989 | -0.433899 | -0.618868 | -0.265313 | -0.487883 | 0.341253 | 0.0309 | 0.0299 | 0.0015 | nan | nan |
2459718 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.141036 | 0.094384 | -0.188185 | -0.628681 | -1.057082 | -0.546142 | -0.670378 | -0.526930 | 0.0326 | 0.0289 | 0.0020 | nan | nan |
2459717 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.033138 | 0.113254 | -0.489762 | -0.777307 | -1.353562 | -1.019095 | -0.766878 | -0.004988 | 0.0315 | 0.0291 | 0.0019 | nan | nan |
2459716 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.224049 | 0.020673 | -0.165014 | -0.387262 | -1.883030 | -1.360324 | -0.774776 | 0.378672 | 0.0331 | 0.0310 | 0.0034 | nan | nan |
2459715 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.947299 | 0.522988 | -0.319909 | -0.320405 | 0.138381 | -1.003430 | -0.407957 | -0.214838 | 0.6722 | 0.6048 | 0.4449 | 4.003763 | 3.692810 |
2459713 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.071359 | 0.272623 | -0.082449 | -0.311978 | -1.172856 | -0.901514 | -0.780395 | 0.493764 | 0.0322 | 0.0332 | 0.0020 | nan | nan |
2459712 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.159701 | 0.469089 | -0.337285 | -0.072888 | -0.927869 | -1.300236 | -1.580913 | -1.584864 | 0.5889 | 0.5851 | 0.3722 | 2.333909 | 2.101165 |
2459711 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.008694 | 0.385316 | -0.443193 | -0.417208 | -1.100853 | -1.223242 | -0.774005 | -0.672597 | 0.0311 | 0.0301 | 0.0015 | nan | nan |
2459710 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.207815 | 0.571680 | -0.242158 | -0.095373 | -1.383333 | -1.349744 | -0.773444 | -0.445360 | 0.0313 | 0.0307 | 0.0017 | nan | nan |
2459708 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 4.954876 | 0.718169 | -0.348124 | -0.639261 | 0.293379 | -1.015588 | -0.004328 | 0.847460 | 0.6702 | 0.6132 | 0.4229 | 0.000000 | 0.000000 |
2459707 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 0.674397 | 0.870415 | -1.101962 | -1.532428 | -1.459998 | -1.352525 | -0.061681 | 1.390802 | 0.0326 | 0.0319 | 0.0010 | 0.000000 | 0.000000 |
2459706 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.145581 | 0.518195 | -0.260245 | -0.023225 | -1.092856 | -0.592514 | -0.658236 | -0.493611 | 0.0317 | 0.0316 | 0.0022 | nan | nan |
2459705 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.141947 | 0.416868 | -0.694252 | -0.660543 | -1.342027 | -0.137321 | -0.744370 | 0.190214 | 0.0312 | 0.0307 | 0.0018 | nan | nan |
2459703 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.365776 | 0.272321 | -0.391002 | -0.566222 | 0.278208 | 1.464080 | -0.324297 | 0.542075 | 0.0333 | 0.0299 | 0.0041 | nan | nan |
2459702 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.617529 | 0.373895 | -0.037996 | -0.543374 | -0.214633 | -0.867785 | -0.471961 | 0.460300 | 0.6029 | 0.6300 | 0.3421 | 10.958887 | 13.860204 |
2459701 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.655562 | 0.518746 | -0.413056 | -0.799148 | -0.605877 | -0.880067 | -0.310748 | 0.128256 | 0.6137 | 0.6397 | 0.3348 | 11.980649 | 16.922167 |
2459697 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 1934.485793 | 1934.485793 | 1793.074681 | 1793.074681 | 1446.689880 | 1446.689880 | 7170.402558 | 7170.402558 | 1.0000 | 1.0000 | 0.0000 | 18613.570801 | 18613.570801 |
2459696 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 73.706908 | 73.706908 | 65.672380 | 65.672380 | 70.842001 | 70.842001 | 275.727083 | 275.727083 | 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% | 173.074884 | 173.074884 | 169.346835 | 169.346835 | 184.000284 | 184.000284 | 615.046852 | 615.046852 | 1.0000 | 1.0000 | 0.0000 | 0.000000 | 0.000000 |
2459694 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 6.580136 | 0.805619 | -0.510159 | -0.373869 | 0.004613 | -0.758199 | -0.389573 | 0.722043 | 0.6252 | 0.5983 | 0.4034 | 5.175720 | 5.261180 |
2459693 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 2.921878 | 5.409662 | -0.555355 | -0.205485 | 0.625007 | -0.086036 | -0.702405 | -0.032646 | 0.6856 | 0.6788 | 0.2782 | 6.941311 | 8.037122 |
2459692 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.077291 | -0.331925 | -0.716321 | -0.832797 | 3.737102 | -0.523512 | -0.347008 | -0.564247 | 0.6890 | 0.7157 | 0.2619 | 3.084085 | 3.196445 |
2459691 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.239122 | 0.657432 | 0.306109 | -0.709483 | -0.953128 | -0.573741 | -0.767461 | 1.328422 | 0.6004 | 0.5993 | 0.3369 | 1.452306 | 1.377520 |
2459690 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.076875 | 0.567010 | 0.463166 | -0.173236 | -0.431351 | 0.292510 | 0.156936 | 0.739249 | 0.6280 | 0.6231 | 0.3691 | 1.122209 | 1.071649 |
2459689 | digital_ok | 100.00% | - | - | - | - | - | 3.754726 | 0.693943 | -0.535221 | -0.741853 | -1.285395 | 0.138835 | -0.264598 | 0.476038 | nan | nan | nan | nan | nan |
2459688 | digital_ok | 100.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459687 | digital_ok | 0.00% | 99.46% | 99.46% | 0.00% | - | - | 2.590010 | 0.645839 | 0.513754 | -0.056084 | -0.784567 | 0.258000 | -1.845017 | -1.086372 | 0.1954 | 0.1858 | 0.0851 | nan | nan |
2459686 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 2.942834 | 0.390962 | -0.322338 | -0.330615 | -0.327468 | 0.246937 | 0.359991 | 1.662652 | 0.6194 | 0.6190 | 0.3584 | 1.588048 | 1.610845 |
2459685 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.63% | 0.00% | 3.286019 | 0.650789 | -0.450441 | -0.436332 | -0.773983 | -1.409489 | 0.167700 | -0.452572 | 0.6291 | 0.6235 | 0.3589 | 1.401818 | 1.352390 |
2459684 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.396149 | 0.707930 | 0.040821 | -0.248892 | -1.003284 | -0.642081 | -1.068787 | -0.341743 | 0.6266 | 0.6259 | 0.3605 | 1.724997 | 1.677739 |
2459676 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.33% | 0.00% | 3.648994 | 0.687342 | -0.006756 | -0.680984 | -0.914118 | 0.715421 | -1.227439 | 0.342657 | 0.6156 | 0.6131 | 0.3789 | 0.902752 | 0.901365 |
2459675 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.00% | 0.00% | 3.471104 | 0.597064 | 0.023231 | -0.482311 | -1.129760 | -0.281892 | -0.847701 | 0.670991 | 0.6228 | 0.6208 | 0.3742 | 1.664294 | 1.596075 |
2459674 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.634993 | 0.675767 | 0.454465 | -0.224030 | -0.545447 | 0.114425 | -0.897298 | 0.851242 | 0.6234 | 0.6209 | 0.3771 | 1.923213 | 2.037000 |
2459673 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 17.84% | 2.952679 | 0.612270 | 0.288610 | -0.109451 | -0.529499 | 0.680877 | -0.639363 | 0.430505 | 0.6307 | 0.6178 | 0.3851 | 0.250710 | 0.311572 |
2459672 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 46.67% | 1.33% | 2.900944 | 0.324813 | 0.232327 | -0.293221 | -0.979294 | -0.583128 | 0.649234 | 1.508186 | 0.6291 | 0.6265 | 0.3749 | 0.415753 | 0.304357 |
2459671 | 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 |
2459670 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459669 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.128349 | -0.139206 | -0.643832 | -0.722136 | -0.105731 | 0.489446 | -0.725219 | 1.193657 | 0.0393 | 0.0351 | 0.0032 | nan | nan |
2459668 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 1.62% | 2.878144 | 0.716666 | 0.048186 | -0.396554 | -0.358375 | -0.062261 | -0.493531 | -0.113525 | 0.6954 | 0.6701 | 0.3520 | 2.161176 | 2.089313 |
2459665 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.319063 | 0.289272 | 0.174852 | 0.207446 | -0.864491 | -0.615058 | -1.076439 | -0.479441 | 0.6461 | 0.6489 | 0.3906 | 1.411402 | 1.430409 |
2459664 | digital_ok | 0.00% | 100.00% | 89.20% | 0.00% | - | - | -1.043753 | -0.645179 | -0.666312 | 0.270370 | -0.428170 | 0.274114 | -0.548882 | 0.495308 | 0.0483 | 0.0614 | 0.0093 | nan | nan |
2459663 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 3.151645 | 0.763965 | 0.227941 | 0.173829 | 0.178272 | 0.199072 | -0.307046 | 0.039507 | 0.6262 | 0.6177 | 0.3670 | 1.149534 | 1.109553 |
2459662 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.632447 | 0.103840 | -0.636645 | -0.829133 | 0.650698 | 1.833883 | -0.727638 | 0.259552 | 0.0340 | 0.0302 | 0.0013 | nan | nan |
2459661 | 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 |
2459660 | digital_ok | 0.00% | 0.64% | 0.64% | 0.00% | 0.00% | 0.00% | 2.530182 | 0.683033 | 0.781400 | 0.456006 | 0.574678 | 0.503238 | -0.674532 | 0.132566 | 0.6573 | 0.6361 | 0.3432 | 1.605258 | 1.491901 |
2459659 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 2.447487 | 0.520149 | 0.367979 | 0.089715 | 0.181928 | 0.913849 | -0.808624 | 0.189543 | 0.6251 | 0.6140 | 0.3617 | 1.541131 | 1.439498 |
2459658 | digital_ok | 0.00% | 0.64% | 0.64% | 0.00% | 0.00% | 0.00% | 2.351924 | -0.318506 | -0.140460 | -0.138789 | 0.205127 | 0.251921 | -0.261644 | -0.491853 | 0.6162 | 0.6057 | 0.3689 | 1.617106 | 1.460216 |
2459657 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.54% | 3.632404 | 0.644176 | 0.730097 | 0.562112 | 0.392852 | 0.627905 | 1.183097 | 0.066232 | 0.6526 | 0.6274 | 0.3593 | 1.656960 | 1.552662 |
2459656 | 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 |
2459655 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.354055 | 1.482498 | -0.505132 | -0.483965 | -0.582362 | 2.078398 | 0.688395 | 7.516377 | 0.0325 | 0.0319 | 0.0035 | nan | nan |
2459653 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 3.194227 | 0.839521 | 0.477704 | 0.441893 | 0.419328 | 0.656044 | 2.617511 | 7.223175 | 0.6165 | 0.6074 | 0.3639 | 4.728559 | 4.006525 |
2459652 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | 3.716526 | -0.197846 | -0.006374 | -0.459170 | 2.360324 | 0.874687 | 1.229889 | 1.665883 | 0.6045 | 0.5968 | 0.3658 | 1.038189 | 1.029432 |
2459651 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 4.30% | -0.409796 | 2.659227 | 0.531143 | -0.270145 | 0.413315 | 3.384053 | 0.724547 | 0.723565 | 0.8215 | 0.8141 | 0.1576 | 12.771357 | 12.005552 |
2459650 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.599196 | -0.229599 | 0.313368 | 0.265763 | 0.692003 | -0.234574 | 0.645822 | 0.403975 | 0.7668 | 0.7374 | 0.2717 | 2.552613 | 2.696703 |
2459649 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 13.44% | 2.451891 | 0.381936 | 0.939984 | 0.357877 | 0.357540 | 0.265507 | -0.396437 | 0.268783 | 0.6408 | 0.6228 | 0.3397 | 2.091123 | 2.179535 |
2459648 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459647 | digital_ok | 0.00% | 81.63% | 81.63% | 0.00% | 0.00% | 0.00% | 0.186362 | 0.186362 | 0.320679 | 0.320679 | 0.037926 | 0.037926 | 0.634808 | 0.634808 | 0.2463 | 0.2463 | 0.0000 | 0.022520 | 0.022520 |
2459646 | digital_ok | 0.00% | 17.34% | 17.88% | 0.00% | 18.28% | 1.08% | 1.547520 | 0.128615 | 0.996246 | 0.232387 | 1.008108 | 1.032790 | 0.152465 | 2.057205 | 0.4632 | 0.4558 | 0.2519 | 2.207868 | 2.155738 |
2459645 | digital_ok | 0.00% | 16.22% | 17.30% | 0.00% | 17.30% | 0.00% | 0.977651 | -0.250580 | 0.794506 | 0.178354 | 1.309734 | 0.386822 | 0.238097 | -0.109068 | 0.5783 | 0.6044 | 0.2276 | 2.767101 | 2.718728 |
2459642 | digital_ok | 0.00% | 16.26% | 16.26% | 0.00% | 18.28% | 0.00% | 2.871592 | 0.806998 | 1.487883 | 0.603178 | 0.761466 | 0.339715 | -0.348173 | 0.854082 | 0.4478 | 0.4417 | 0.2567 | 1.780695 | 1.794311 |
2459641 | digital_ok | - | 55.70% | 55.70% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.4657 | 0.4612 | 0.0031 | nan | nan |
2459640 | digital_ok | 0.00% | 13.51% | 14.05% | 0.00% | 14.05% | 0.00% | 3.262165 | 1.147038 | 0.841301 | 0.427175 | 0.204574 | 0.180170 | -0.844267 | -0.306270 | 0.4592 | 0.4582 | 0.2529 | 1.916679 | 1.958294 |
2459639 | digital_ok | 0.00% | 12.48% | 13.56% | 0.00% | 13.98% | 0.00% | 2.112060 | 0.462403 | 0.305683 | -0.113947 | 0.643234 | 0.037323 | 1.135415 | 2.000559 | 0.4755 | 0.4688 | 0.2487 | 2.232682 | 2.127572 |
2459638 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6141 | 0.6248 | 0.2502 | nan | nan |
2459637 | digital_ok | 0.00% | 11.35% | 12.43% | 0.00% | 12.43% | 0.00% | 2.499822 | 0.827542 | 0.926494 | 0.531559 | -0.046750 | 0.828324 | -0.926929 | 0.575016 | 0.4522 | 0.4434 | 0.2495 | 1.983260 | 1.971988 |
2459636 | digital_ok | 0.00% | 10.81% | 11.89% | 0.00% | 11.89% | 2.16% | 2.613877 | 0.814002 | 1.046480 | 0.784000 | -0.485257 | 1.155876 | -0.278122 | 1.602605 | 0.4533 | 0.4434 | 0.2502 | 2.001274 | 1.950053 |
2459635 | digital_ok | 0.00% | 10.32% | 10.86% | 0.00% | 11.29% | 0.54% | 3.432497 | 1.108218 | 1.242834 | 0.586472 | 0.408502 | 1.065743 | -0.619117 | 0.293155 | 0.4614 | 0.4507 | 0.2548 | 2.005289 | 1.959270 |
2459634 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.323585 | 0.323585 | 0.324586 | 0.324586 | 0.249380 | 0.249380 | 0.249045 | 0.249045 | 1.0000 | 1.0000 | 0.0000 | 0.033726 | 0.033726 |
2459633 | digital_ok | 0.00% | 9.24% | 9.78% | 0.00% | 10.22% | 0.00% | 3.845279 | 1.207006 | 1.405996 | 0.771093 | 0.209526 | 1.821558 | -1.209413 | 0.011122 | 0.4534 | 0.4481 | 0.2633 | 1.770461 | 1.768575 |
2459632 | digital_ok | 0.00% | 8.11% | 9.19% | 0.00% | 9.19% | 0.00% | 3.399806 | 0.966498 | 1.058274 | 0.639094 | -0.175445 | 0.736776 | -0.985790 | 0.075747 | 0.4555 | 0.4489 | 0.2607 | 1.843663 | 1.712537 |
2459631 | digital_ok | 100.00% | 7.57% | 8.11% | 0.00% | 100.00% | 0.00% | 4.664317 | 1.273466 | 1.037490 | 0.538479 | 0.675715 | 1.454730 | -0.995785 | 0.280791 | 0.4644 | 0.4581 | 0.2574 | 4.940518 | 4.680419 |
2459630 | digital_ok | 100.00% | 6.54% | 7.62% | 0.00% | 100.00% | 0.00% | 5.060591 | 1.697645 | 0.828761 | 0.184361 | 0.269038 | 2.496001 | -0.769602 | 0.269447 | 0.4655 | 0.4589 | 0.2572 | 6.748425 | 6.337666 |
2459629 | digital_ok | 100.00% | 6.54% | 7.08% | 0.00% | 100.00% | 0.00% | 4.544815 | 1.459073 | 1.148336 | 1.085058 | 0.027204 | 1.530369 | 0.394508 | 1.559244 | 0.4932 | 0.4786 | 0.2531 | 6.034658 | 5.906306 |
2459628 | digital_ok | 0.00% | 5.95% | 6.49% | 0.00% | 6.49% | 0.00% | 3.682232 | 0.694051 | 1.198152 | 0.980918 | 0.506695 | 1.883293 | -0.661724 | 0.703480 | 0.4601 | 0.4539 | 0.2627 | 1.997303 | 1.934084 |
2459627 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 62.16% | 0.476682 | 0.476682 | 0.478782 | 0.478782 | 0.603379 | 0.603379 | 0.599300 | 0.599300 | 1.0000 | 1.0000 | 0.0000 | 0.030238 | 0.030238 |
2459626 | digital_ok | 0.00% | 4.38% | 4.38% | 0.00% | 4.84% | 0.00% | 3.301681 | -0.017939 | 0.853608 | 0.155416 | 1.260997 | 0.768847 | 0.262758 | 1.361915 | 0.4808 | 0.4758 | 0.2653 | 2.214754 | 1.979432 |
2459625 | digital_ok | 0.00% | 3.84% | 10.86% | 0.00% | 11.29% | 0.00% | 3.658749 | 1.043850 | 3.467697 | 3.350730 | 2.220902 | 3.854503 | -0.911573 | 0.042591 | 0.4614 | 0.4502 | 0.2634 | 1.910779 | 1.845714 |
2459624 | digital_ok | 0.00% | 2.70% | 3.78% | 0.00% | 3.78% | 0.00% | 3.885853 | 0.668076 | 1.259614 | 0.771268 | 0.744263 | 0.872707 | -0.832538 | 0.871595 | 0.4686 | 0.4654 | 0.2588 | 2.118301 | 2.018148 |
2459623 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459622 | digital_ok | 0.00% | 7.03% | 7.03% | 0.00% | 100.00% | 0.00% | 0.626969 | -0.060267 | 2.186704 | 2.489667 | -0.408971 | -0.245966 | -0.770293 | 1.390304 | 0.4710 | 0.4670 | 0.2830 | 0.000000 | 0.000000 |
2459621 | digital_ok | 0.00% | - | - | - | 19.57% | 76.09% | 2.416341 | 0.219190 | 0.659179 | -0.095148 | -0.214053 | -0.611259 | 0.018192 | -0.184474 | nan | nan | nan | 37.731923 | 42.163449 |
2459620 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.731434 | 0.585480 | -0.610744 | -0.680496 | -1.106156 | 0.734194 | -0.721723 | 1.449079 | 0.0323 | 0.0313 | 0.0008 | nan | nan |
2459619 | digital_ok | 0.00% | 0.54% | 1.08% | 0.00% | 1.08% | 12.43% | 2.576723 | 0.881779 | 1.003421 | 0.906861 | 1.131454 | 0.782647 | -0.821542 | -0.046695 | 0.4893 | 0.4835 | 0.2850 | 0.280492 | 0.283799 |
2459618 | digital_ok | 0.00% | 3.78% | 5.46% | 0.00% | 5.46% | 0.00% | 2.413536 | 0.677538 | 1.415290 | 0.700895 | 0.786375 | 0.110925 | -0.767893 | 0.591769 | 0.4796 | 0.4738 | 0.2941 | 2.181806 | 2.062172 |
2459617 | digital_ok | 0.00% | 0.00% | 0.54% | 0.00% | 0.54% | 19.35% | 1.482651 | 0.232505 | 0.920117 | 0.505037 | 1.015596 | 0.081080 | 2.833847 | 2.530852 | 0.4959 | 0.4913 | 0.2856 | 2.160784 | 1.938076 |
2459616 | 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 |
2459615 | digital_ok | 0.00% | 3.24% | 4.32% | 0.00% | 55.14% | 0.00% | 2.775886 | 0.419244 | 1.157665 | 0.606832 | 0.289817 | 0.421393 | 0.409547 | 1.396844 | 0.4854 | 0.4774 | 0.2976 | 0.000000 | 0.000000 |
2459614 | digital_ok | 0.00% | 1.62% | 4.86% | 0.00% | 15.59% | 1.08% | 3.354378 | 0.753009 | 1.118543 | 0.641986 | 0.387274 | 0.400516 | -0.861623 | 0.649209 | 0.4873 | 0.4742 | 0.2954 | 0.436396 | 0.387559 |
2459613 | digital_ok | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
2459612 | digital_ok | 0.00% | 68.11% | 68.11% | 0.00% | 71.35% | 0.54% | 1.727321 | 0.120930 | 1.329459 | 0.457459 | 0.427091 | 0.373860 | -0.602894 | -0.720856 | 0.2625 | 0.2665 | 0.1303 | 0.000000 | 0.000000 |
2459611 | digital_ok | 0.00% | 5.32% | 4.65% | 0.00% | 5.30% | 0.00% | 0.076464 | -0.542243 | 0.618927 | 0.181982 | 2.753041 | 0.184891 | -1.090543 | -0.318124 | 0.4944 | 0.5025 | 0.2834 | 1.808478 | 1.690007 |
2459610 | digital_ok | 0.00% | 1.08% | 1.08% | 0.00% | 1.08% | 0.00% | 1.960080 | -0.010568 | 1.013354 | 0.425476 | 0.977234 | 0.157267 | 0.135419 | 0.102429 | 0.5607 | 0.5627 | 0.2595 | 2.077727 | 2.129636 |
2459609 | digital_ok | 0.00% | 7.03% | 4.86% | 0.00% | 8.65% | 1.08% | 1.361018 | 0.097673 | 1.289087 | 1.334094 | 0.665031 | 1.196930 | -0.468979 | 0.402544 | 0.5349 | 0.5292 | 0.2655 | 1.832392 | 1.917804 |
2459608 | digital_ok | 0.00% | 2.16% | 2.70% | 0.00% | 2.69% | 0.00% | 1.248748 | 0.107822 | 1.465966 | 1.696587 | 0.225002 | 0.884723 | -0.191835 | 0.713546 | 0.4932 | 0.4900 | 0.3013 | 0.878170 | 0.849858 |
2459607 | digital_ok | 0.00% | 50.81% | 51.35% | 0.00% | 25.88% | 0.00% | 1.560140 | 0.757015 | 1.430643 | 1.831391 | 1.190780 | 1.887881 | -0.602937 | 0.638097 | 0.3177 | 0.3160 | 0.1859 | 1.650216 | 1.448228 |
2459605 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.682099 | -0.690664 | 0.413936 | 0.074055 | -1.443950 | -0.725127 | -1.369631 | 0.162059 | 0.0262 | 0.0313 | 0.0040 | nan | nan |
2459604 | digital_ok | 0.00% | 2.16% | 2.16% | 0.00% | 4.30% | 0.00% | 2.286297 | 0.016256 | 1.012893 | 0.650775 | -0.033890 | -0.257597 | -0.516925 | -0.070347 | 0.5681 | 0.5533 | 0.2548 | 1.886657 | 1.951072 |
2459603 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | 693.472135 | 860.184180 | inf | inf | -19867.862137 | -25868.576562 | -20724.236712 | -27135.993546 | nan | nan | nan | 0.000000 | 0.000000 |
2459602 | digital_ok | 0.00% | 1.62% | 1.62% | 0.00% | 2.15% | 0.54% | 2.593180 | 0.441248 | 1.377735 | 1.454272 | -0.194615 | 0.758928 | -1.133542 | 0.074950 | 0.5087 | 0.5191 | 0.3016 | 1.992577 | 1.902457 |
2459598 | digital_ok | 0.00% | 11.89% | 12.97% | 0.00% | 15.14% | 1.62% | 2.661855 | 0.420826 | 1.306063 | 1.027319 | 0.603132 | 0.623272 | 0.069064 | 0.714914 | 0.4964 | 0.4938 | 0.3090 | 1.495230 | 1.323027 |
2459597 | digital_ok | 0.00% | 0.54% | 5.40% | 0.00% | 6.99% | 1.08% | 1.997725 | 0.238686 | 1.505362 | 1.357930 | -0.247483 | 0.032962 | -0.713822 | 0.584033 | 0.5283 | 0.5225 | 0.2751 | 1.905509 | 1.669288 |
2459596 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.61% | 0.00% | 1.702565 | 0.059457 | 1.364914 | 1.236296 | 0.489994 | 0.180301 | -0.678998 | 0.142408 | 0.5257 | 0.5198 | 0.3003 | 1.815090 | 1.684941 |
2459595 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.00% | 0.354662 | -0.121259 | 0.648758 | 0.638682 | 0.406358 | 0.250181 | 1.928481 | 1.739405 | 0.6696 | 0.6564 | 0.1950 | 2.097598 | 2.070964 |
2459594 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.08% | 0.54% | 1.168099 | -0.714124 | 0.243030 | 0.684437 | 0.724158 | 2.632539 | -0.165848 | 0.792601 | 0.7242 | 0.6998 | 0.2641 | 3.373258 | 2.937418 |
2459593 | digital_ok | 0.00% | 0.00% | 0.54% | 0.00% | 2.69% | 0.54% | 1.732211 | -0.290832 | 1.046536 | 1.114425 | 0.153146 | 0.210477 | 0.006226 | 0.470556 | 0.6353 | 0.6115 | 0.2236 | 2.606995 | 2.145906 |
2459592 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.654343 | -0.391423 | 0.096828 | -0.518433 | -1.505230 | -0.298777 | -1.908388 | 0.089930 | 0.0337 | 0.0291 | 0.0018 | nan | nan |
2459591 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 0.00% | 1.709307 | 0.373187 | 1.413281 | 1.733478 | 0.206681 | -0.477004 | 0.632387 | 0.012626 | 0.5243 | 0.5272 | 0.3150 | 1.629596 | 1.508420 |
2459590 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 1.62% | 1.08% | 3.756823 | 1.214054 | 1.255596 | 1.311372 | 0.170237 | 0.108604 | -0.227036 | 0.679049 | 0.5291 | 0.5293 | 0.3093 | 2.109858 | 1.946774 |
2459589 | digital_ok | 0.00% | 0.54% | 0.54% | 0.00% | 3.23% | 0.00% | -0.223447 | -0.537228 | 0.621228 | 0.711661 | 0.780659 | -0.073394 | 1.119149 | 0.860850 | 0.6185 | 0.5929 | 0.2418 | 1.933830 | 1.829176 |
2459588 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 2.69% | 0.00% | 0.938189 | -0.650366 | 1.831512 | 1.615010 | 2.097421 | 1.709058 | 1.310621 | 1.576400 | 0.7025 | 0.6602 | 0.2203 | 3.361568 | 2.542027 |
2459587 | digital_ok | 0.00% | - | - | - | 6.99% | 0.00% | -0.696702 | -0.319900 | 2.567553 | 3.164739 | -0.799783 | -0.773660 | 0.390459 | 0.522134 | nan | nan | nan | 1.202253 | 1.193365 |
2459586 | digital_ok | 0.00% | 3.24% | 7.57% | 0.00% | 10.27% | 0.54% | -1.307103 | -0.224961 | -0.796043 | 1.384014 | -0.197954 | 1.052573 | -0.382648 | -0.849618 | 0.5259 | 0.5261 | 0.2998 | 1.923559 | 1.718653 |
2459585 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.848315 | 1.404518 | -0.573642 | 0.553822 | -0.792956 | 1.519690 | -1.130622 | 1.160145 | 0.0342 | 0.0334 | 0.0016 | 0.000000 | 0.000000 |
2459584 | digital_ok | 0.00% | 36.61% | 36.61% | 0.00% | 38.92% | 0.60% | -0.374518 | -0.036194 | -0.047472 | 0.466397 | 0.319042 | 0.035166 | -0.846999 | -0.848271 | 0.4729 | 0.4788 | 0.3116 | 1.624435 | 1.455060 |
2459583 | 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 |
2459582 | digital_ok | 0.00% | 8.11% | 8.11% | 0.00% | 12.43% | 0.00% | -1.136390 | -0.870959 | -0.276443 | -0.287419 | -0.721698 | -1.355641 | -0.820520 | -0.418501 | 0.5133 | 0.5167 | 0.3327 | 1.774382 | 1.586291 |
2459581 | digital_ok | 0.00% | 2.70% | 3.78% | 0.00% | 7.57% | 0.00% | -0.950522 | -0.995127 | -1.028131 | -0.071232 | -0.982122 | -1.081315 | -0.516782 | 0.282219 | 0.5242 | 0.5266 | 0.3332 | 1.798541 | 1.562544 |
2459580 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.76% | 0.00% | -1.021309 | -0.836757 | -0.271697 | 0.096608 | -0.491654 | -1.018233 | -1.011495 | -0.003055 | 0.5302 | 0.5358 | 0.3302 | 1.840215 | 1.630768 |
2459579 | digital_ok | 0.00% | 1.62% | 1.62% | 0.00% | 6.45% | 0.00% | -1.027319 | -1.073389 | -0.173376 | 0.001235 | -0.798586 | -1.160863 | -0.673047 | 0.135131 | 0.5262 | 0.5332 | 0.3351 | 2.087592 | 1.801396 |
2459578 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.268354 | 0.428118 | -0.775734 | -0.322823 | -0.911921 | -0.568277 | -0.078845 | -0.753696 | 0.0376 | 0.0321 | 0.0034 | nan | nan |
2459577 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 3.78% | 0.00% | -0.812132 | -0.845884 | -0.809806 | -0.267049 | -0.779025 | -1.034671 | -0.554640 | -0.551415 | 0.5316 | 0.5382 | 0.3291 | 1.849169 | 1.559565 |
2459576 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.572411 | -0.601744 | -0.682640 | -0.531359 | -0.601399 | -0.877825 | -0.218935 | -0.187124 | 0.0757 | 0.0607 | 0.0114 | 0.831279 | 0.831773 |
2459575 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459574 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.636862 | -0.724433 | -0.868860 | -0.686407 | -0.308392 | -0.820734 | 0.494349 | 0.854936 | 0.0958 | 0.0894 | 0.0171 | 1.210580 | 1.212558 |
2459573 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.113811 | -0.769974 | -0.278480 | 0.167398 | -0.495567 | -1.374933 | -0.693753 | 0.236216 | 0.0621 | 0.0741 | 0.0085 | 0.000000 | 0.000000 |
2459572 | 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 |
2459571 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.037094 | 0.418676 | -0.696535 | -0.376686 | -1.393502 | -0.769764 | 0.018905 | -0.444165 | 0.0400 | 0.0318 | 0.0038 | nan | nan |
2459570 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459569 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.703460 | -0.725574 | -0.803084 | -0.445874 | -1.149950 | -0.673073 | -0.660982 | -0.430348 | 0.0744 | 0.0855 | 0.0093 | 1.175144 | 1.171714 |
2459566 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.927348 | -1.061328 | -0.650439 | -0.092929 | -0.807652 | -1.013554 | -0.682249 | -0.554732 | 0.0967 | 0.0827 | 0.0163 | 0.000000 | 0.000000 |
2459565 | digital_ok | 0.00% | - | - | - | 93.33% | 0.00% | -1.019629 | -1.019629 | -0.885933 | -0.885933 | -0.752740 | -0.752740 | -0.803206 | -0.803206 | nan | nan | nan | 0.000000 | 0.000000 |
2459564 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.20% | 0.00% | -0.808273 | -0.307903 | -1.205312 | 0.166335 | -0.559900 | 1.583986 | 1.005225 | 3.172589 | 0.6921 | 0.6915 | 0.4228 | 1.823398 | 1.503009 |
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% | -0.350437 | -0.575027 | -0.556944 | -0.889501 | -0.087103 | -0.052439 | -0.217145 | -0.046786 | 0.6896 | 0.6936 | 0.4047 | 1.857082 | 1.510883 |
2459558 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 12.37% | 1.61% | -0.426511 | -0.638708 | -0.034572 | -0.136898 | -1.127013 | -0.909004 | -0.166912 | 1.726253 | 0.6912 | 0.6924 | 0.4148 | 1.780092 | 1.484880 |
2459557 | digital_ok | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0414 | 0.0321 | 0.0031 | nan | nan |
2459556 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.482022 | -0.824192 | -0.037324 | -0.134084 | -0.656486 | -0.808705 | 0.115082 | 2.021579 | 0.6930 | 0.6934 | 0.4115 | 1.794154 | 1.506062 |
2459553 | digital_ok | - | 0.00% | 0.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.6933 | 0.6923 | 0.4204 | nan | nan |
2459552 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 68.65% | 31.35% | -0.334136 | -0.586285 | 0.090738 | 0.813650 | -0.184875 | -0.289005 | -0.683188 | 0.073026 | 0.7003 | 0.6934 | 0.4179 | 2.598425 | 0.000000 |
2459551 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.38% | 0.00% | -0.161275 | -0.484743 | -0.647510 | -0.968428 | -0.448292 | -0.006558 | 0.297846 | 0.258492 | 0.6964 | 0.6932 | 0.4125 | 1.961309 | 1.540039 |
2459550 | digital_ok | - | 99.18% | 99.18% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0609 | 0.0554 | 0.0048 | nan | nan |
2459549 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.86% | 0.00% | -0.081579 | -0.663015 | -0.538573 | 0.069866 | -0.245394 | -0.478240 | -0.524992 | 0.638117 | 0.6953 | 0.6924 | 0.4236 | 1.897708 | 1.540398 |
2459542 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 22.32% | 0.00% | -0.501673 | -0.467235 | -0.395153 | -0.972694 | -0.777960 | 0.941773 | 0.149366 | 0.086519 | 0.7550 | 0.7415 | 0.3765 | 2.017133 | 1.535347 |
2459541 | digital_ok | 0.00% | 1.79% | 1.79% | 0.00% | 21.88% | 0.00% | -0.307647 | -0.511694 | 0.218438 | 0.185519 | -0.031665 | -1.015143 | 0.288155 | 0.246638 | 0.7443 | 0.7295 | 0.3487 | 1.721349 | 1.425039 |
2459540 | digital_ok | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459536 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.93% | 0.00% | -0.183879 | -0.902717 | -0.128976 | 0.944401 | -0.133175 | -0.824808 | 1.133153 | 0.857097 | 0.7186 | 0.7193 | 0.4443 | 1.958327 | 1.623460 |
2459535 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 21.43% | 0.00% | -0.318594 | -0.537534 | -0.523203 | -0.845794 | -0.594650 | -0.655071 | -0.391751 | 0.141462 | 0.7834 | 0.7508 | 0.3930 | 1.960492 | 1.567067 |
2459534 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 20.98% | 0.45% | -0.362926 | -0.802417 | -0.509342 | -0.904451 | -0.160109 | -0.455459 | 0.399130 | 1.001862 | 0.7736 | 0.7501 | 0.3825 | 2.095889 | 1.654049 |
2459533 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.89% | 0.00% | 0.025316 | -0.766557 | -0.165055 | 0.436302 | -0.204046 | -0.758217 | -0.442097 | 1.372423 | 0.7135 | 0.7049 | 0.4278 | 1.772929 | 1.519772 |
2459532 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 5.00% | 0.56% | -0.204996 | -0.824274 | -0.040550 | 0.453244 | -0.327311 | -1.029021 | 0.179094 | 0.450789 | 0.7127 | 0.7008 | 0.4282 | 1.767692 | 1.517264 |
2459530 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 4.73% | 0.00% | -0.488240 | -0.793061 | -0.502830 | -0.790346 | -0.103912 | 0.012291 | 0.341276 | 0.224828 | 0.7283 | 0.7167 | 0.4286 | 1.867989 | 1.548844 |
2459527 | digital_ok | 0.00% | - | - | - | 100.00% | 0.00% | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
2459524 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | -1.172538 | -0.587261 | -0.255086 | 0.407158 | -0.888239 | -0.468742 | -0.720815 | -0.166176 | 0.8909 | 0.9184 | 0.3570 | 0.000000 | 0.000000 |
2459523 | digital_ok | 0.00% | - | - | - | 22.45% | 0.00% | 0.720609 | -1.153939 | -0.911069 | 0.604416 | -0.908940 | 0.820144 | -0.926531 | -0.724199 | nan | nan | nan | 2.243149 | 1.860012 |
2459522 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.949654 | -0.660812 | 0.051859 | 0.732047 | -0.036977 | 1.836970 | -0.987076 | -0.359228 | 0.7068 | 0.6320 | 0.3864 | 1.693666 | 1.313305 |
2459513 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 0.068230 | 0.491332 | -0.779598 | -0.626404 | -0.594761 | 0.622726 | -0.147878 | -0.321556 | 0.0382 | 0.0365 | 0.0037 | nan | nan |
2459508 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 81.58% | 0.00% | -0.730845 | -0.953615 | -0.414500 | -0.234631 | -1.230572 | -0.959920 | 0.337896 | 0.275657 | 0.8949 | 0.9230 | 0.2119 | 0.000000 | 0.000000 |
2459505 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | -0.629894 | -1.011203 | 0.096441 | -0.439537 | 1.538366 | -0.596589 | 0.313564 | 0.351788 | 0.8909 | 0.8512 | 0.2128 | 7.402924 | 5.341381 |
2459503 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 89.47% | 0.00% | -0.490024 | -0.165560 | 0.248953 | 0.779794 | -1.198486 | -0.241475 | -0.694522 | -0.751400 | 0.8326 | 0.8256 | 0.5074 | 0.000000 | 0.000000 |
2459501 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.648138 | -0.155923 | 0.633271 | 0.853276 | -0.663790 | -0.551127 | -0.939809 | -0.869780 | 0.1559 | 0.1287 | 0.0266 | 0.000000 | 0.000000 |
2459500 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.672825 | -0.094256 | 0.152962 | 0.532416 | -0.464591 | -0.312738 | -1.046144 | -0.673096 | 0.1714 | 0.1399 | 0.0277 | 0.000000 | 0.000000 |
2459499 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.418455 | 0.063203 | 0.147928 | 0.583642 | -0.487115 | -0.261580 | -0.103579 | -0.188816 | 0.1503 | 0.1368 | 0.0161 | 0.000000 | 0.000000 |
2459498 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.289474 | 0.188998 | 0.346397 | 0.707791 | -0.180768 | -0.175042 | -0.495940 | -0.514293 | 0.1755 | 0.1503 | 0.0357 | 0.000000 | 0.000000 |
2459497 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.284562 | 0.296986 | 0.675366 | 1.016190 | -0.276341 | -0.223711 | -0.733315 | -0.606967 | 0.1759 | 0.1670 | 0.0405 | 0.000000 | 0.000000 |
2459496 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.677793 | 0.166508 | 0.258367 | 0.737873 | -0.656843 | -0.536424 | -0.794062 | -0.662999 | 0.2228 | 0.1765 | 0.0417 | 0.000000 | 0.000000 |
2459495 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.513230 | 0.208220 | 0.089341 | 0.696599 | -0.415830 | -0.231109 | -1.006624 | -0.765571 | 0.2255 | 0.1714 | 0.0471 | 0.000000 | 0.000000 |
2459494 | digital_ok | 0.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | -0.403554 | 0.113696 | 0.184632 | 0.688480 | -0.617494 | -0.608511 | -0.140146 | -0.239258 | 0.2066 | 0.1668 | 0.0457 | 0.000000 | 0.000000 |
2459492 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | 0.146074 | -0.658185 | 0.253149 | 0.328961 | -1.317479 | -1.374098 | -1.151861 | -1.020475 | 0.7293 | 0.7910 | 0.3682 | 0.192910 | 0.201469 |
2459491 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 50.00% | 0.00% | -0.090188 | -0.580297 | 0.357388 | 0.166662 | -0.790018 | -0.881173 | -0.021996 | -0.469939 | 0.7810 | 0.8120 | 0.2906 | 0.629426 | 0.531179 |
2459490 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | -0.133178 | -1.026772 | 0.140833 | 0.376081 | -0.669060 | -1.134214 | -0.904391 | -0.637846 | 0.7269 | 0.7880 | 0.4056 | 2.268426 | 1.803171 |
2459489 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 47.37% | 0.00% | 0.102407 | -0.658519 | 0.230837 | 0.126485 | -1.182867 | -0.508949 | -0.252544 | -0.290490 | 0.7536 | 0.8024 | 0.3369 | 2.238368 | 1.698661 |
2459488 | digital_ok | 0.00% | 0.00% | 0.00% | 0.00% | 85.71% | 14.29% | 0.284832 | -0.598195 | 0.219935 | 0.502571 | -1.298796 | -1.199436 | -0.951864 | -0.911806 | 0.7534 | 0.8046 | 0.3843 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 3.191823 | -0.669178 | 3.191823 | -0.645229 | -0.514730 | -1.129125 | -0.227014 | 0.314047 | -0.584414 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.493558 | -0.528883 | 0.493558 | -1.105284 | -0.815192 | -0.549366 | -0.648503 | -0.185549 | -0.029958 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.403124 | -0.742428 | 0.403124 | -1.002930 | -0.869598 | -0.758731 | -0.731730 | -0.670335 | -0.968940 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 3.477639 | 3.477639 | -0.680691 | -0.851975 | -1.149818 | 1.566465 | -0.995635 | -0.140363 | 0.516446 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.467516 | 0.467516 | -0.369553 | -0.563279 | -0.947430 | -0.708006 | -0.782695 | -0.338879 | -0.505154 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.498251 | -0.329018 | 0.498251 | -0.862468 | -0.665672 | -0.349613 | -0.192137 | 0.411724 | 0.473102 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 1.440351 | -0.673323 | 1.282998 | -0.904891 | -0.782116 | -0.007785 | -0.734321 | 1.440351 | -0.309165 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 2.988454 | -0.443918 | 0.845750 | -0.931602 | -0.714037 | -0.631941 | -1.263001 | 2.988454 | -0.853873 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 0.867414 | -0.593920 | 0.427221 | -1.098408 | -0.700146 | -0.373702 | -0.970779 | 0.867414 | -0.543888 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 3.168996 | -0.474828 | 3.168996 | -0.831177 | -0.534224 | -0.596556 | 2.490439 | 0.811796 | 0.964243 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 0.365532 | -0.536552 | 0.365532 | -1.014937 | -0.531658 | -0.848606 | -0.975912 | -0.125496 | -0.588102 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 0.688261 | 0.688261 | -0.509593 | -0.630471 | -0.824831 | -0.772564 | -0.911439 | -0.018787 | 0.030653 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 0.957708 | -0.322827 | 0.600433 | -0.682183 | -0.714832 | -0.887922 | -0.829291 | 0.957708 | -0.763928 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 0.542359 | 0.542359 | -0.820805 | -0.726882 | -1.042336 | -0.716104 | -0.229038 | -0.655759 | -0.905684 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 0.468386 | 0.468386 | -0.479098 | -0.240915 | -0.610412 | -1.269880 | -1.082439 | -0.614583 | 0.081929 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.922288 | 1.922288 | -1.128387 | -0.749341 | -0.811507 | 1.121711 | -0.594523 | -0.441784 | 0.188643 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 0.575469 | 0.575469 | -0.692198 | -0.681466 | -0.835437 | -1.021100 | -0.893015 | -0.729793 | -0.661920 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.521002 | -0.415874 | 1.521002 | -0.637493 | -0.397819 | -0.481391 | -1.003110 | -0.089300 | -0.494977 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 2.799504 | -0.305161 | 1.226623 | -0.849328 | 0.411584 | -0.099303 | -0.206494 | 2.799504 | -0.177485 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.220092 | -0.460255 | 1.220092 | -0.818109 | 0.690047 | 0.028409 | -0.376090 | 0.678727 | -0.472174 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 2.510861 | 1.469387 | -0.215856 | 0.205086 | -0.930803 | -0.378345 | -0.211659 | 1.906871 | 2.510861 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.175814 | -0.198339 | 1.175814 | -0.971215 | -0.219839 | 0.236517 | -0.531983 | -0.021300 | -0.436856 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.747290 | -0.540244 | 1.747290 | -0.706554 | -0.566894 | -0.675867 | 1.488214 | -0.521861 | -0.646412 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.136938 | 1.136938 | -0.450932 | 0.256376 | -0.573509 | -0.211614 | -0.564743 | -0.188793 | 0.643546 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.045696 | -1.218863 | 1.045696 | -0.836474 | 0.216445 | -1.202596 | 0.117611 | 0.490490 | 0.776371 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 0.774810 | -1.119392 | 0.774810 | -0.495463 | -0.465939 | -0.919102 | -0.496512 | -0.602272 | -0.422270 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Temporal Variability | 0.186246 | 0.061252 | -0.840749 | 0.132118 | -0.709711 | 0.186246 | -0.097647 | -0.009702 | 0.019053 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 2.019933 | -1.245704 | 1.295376 | -0.696223 | -0.088374 | -1.456800 | -0.300828 | 2.019933 | -0.441608 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Power | 1.669462 | 0.224837 | 1.251394 | 1.261253 | 1.669462 | 0.866287 | 0.653043 | 1.424094 | 0.107832 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 1.028653 | 0.188785 | 0.560018 | 0.482394 | 0.855037 | 0.181387 | 0.962891 | 0.175011 | 1.028653 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.034732 | 0.494354 | 1.034732 | 0.884724 | 0.489732 | 0.686081 | 0.014793 | 0.860622 | -0.068819 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.385525 | 0.406509 | 1.385525 | 1.083547 | 1.028800 | 1.035150 | 0.005685 | 0.440535 | 0.193888 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.594485 | 0.204919 | 1.594485 | 1.180278 | 0.873986 | 0.822299 | -0.238197 | 1.066403 | -0.326911 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.766062 | 1.766062 | 0.250619 | 1.184163 | 1.311554 | 0.185118 | 0.962138 | -0.028558 | 1.518059 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 1.030066 | 0.675408 | 0.736379 | 0.892150 | 0.775442 | 1.009501 | 0.538324 | 1.030066 | 0.082131 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 3.996716 | 0.682829 | 2.745063 | 2.070621 | 1.709504 | 0.066573 | -0.331926 | 3.996716 | -0.085589 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 3.077730 | 3.077730 | -0.189577 | 0.899755 | 0.927046 | 0.036166 | -0.287291 | -0.047420 | 0.033840 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 3.527080 | 0.561869 | 2.153967 | 1.450516 | 1.410642 | 0.793498 | 0.078035 | 3.527080 | 0.234258 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 3.889046 | 2.472006 | 0.182314 | 0.808742 | 1.438668 | 0.150612 | 1.133602 | 0.527342 | 3.889046 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 9.041234 | 9.041234 | 7.935870 | -0.300665 | 0.656739 | 4.080330 | 5.340726 | -0.399422 | 1.447628 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 2.358292 | -0.169678 | 2.358292 | -0.819611 | -0.504366 | -0.783965 | -0.592317 | -0.324204 | -0.522880 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 3.783247 | 3.783247 | -0.345843 | -0.419788 | -0.761806 | -0.769863 | -0.419028 | -0.255321 | -0.340967 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 1.760477 | 1.760477 | -0.592814 | -0.443519 | -0.537957 | 1.267630 | -0.159891 | 0.160307 | 0.768050 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 5.430426 | 5.430426 | 1.102570 | -0.350561 | -0.051744 | -0.143059 | -0.507710 | -0.279316 | 0.800517 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 5.434857 | 5.434857 | 3.612534 | 3.862827 | 4.528427 | 3.779318 | 3.064422 | -3.314270 | -2.888913 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 4.374767 | 4.374767 | 0.190570 | -0.313194 | -0.841928 | -0.738768 | -0.905490 | -0.136393 | -0.390999 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Variability | 0.668633 | -0.219411 | 0.491560 | -0.337993 | -0.233367 | -0.953055 | 0.668633 | -0.696920 | -0.676805 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | nn Temporal Discontinuties | 0.666711 | 0.377684 | 0.655370 | -0.316620 | -0.593897 | -0.700682 | -0.559868 | -0.849260 | 0.666711 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | RF_maintenance | ee Shape | 6.510581 | 6.510581 | 0.960860 | -0.218636 | -0.306991 | 0.350047 | -1.376970 | -0.501816 | 0.136180 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 2.766276 | -0.196873 | 2.766276 | -0.901844 | -0.649341 | -0.635263 | -0.618936 | -0.342271 | -0.557727 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.520716 | 0.520716 | 0.015422 | -0.125673 | 0.047077 | -0.673400 | -1.284937 | -0.051626 | -0.600231 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.512634 | 0.512634 | -0.077476 | -0.144753 | -0.185986 | -0.929643 | -1.084084 | -0.326734 | -0.521807 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.562870 | 0.562870 | -0.012909 | -0.320037 | -0.049934 | -0.737356 | -0.782712 | -0.288664 | -0.876848 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 7.515835 | 0.834092 | 7.515835 | -0.692663 | -0.418970 | -0.611145 | 0.971568 | 0.134441 | -0.309457 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.365287 | -0.237732 | 0.365287 | -0.176398 | -0.129519 | -1.148086 | -0.821318 | -0.566166 | -0.385512 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | -0.047683 | -0.047683 | -0.784310 | -0.449331 | -0.577817 | -0.330784 | -1.217292 | -0.509310 | -0.550701 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.194729 | 0.194729 | -0.221514 | -0.347458 | -0.339369 | -1.251097 | -1.622558 | -0.089865 | -0.733774 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.013656 | 0.013656 | -0.445766 | -0.508598 | -0.383356 | -0.824943 | -1.104460 | -0.543078 | -0.664294 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 5.917742 | 5.917742 | 0.569501 | -0.381803 | -0.504854 | -0.228889 | -0.867509 | -0.147676 | -0.126375 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 0.681753 | -0.641264 | -0.082850 | -0.449089 | -0.415493 | -0.608703 | -0.326590 | -0.397153 | 0.681753 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 0.341253 | -0.146644 | -0.501050 | -0.433899 | -0.228989 | -0.265313 | -0.618868 | 0.341253 | -0.487883 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.094384 | -0.141036 | 0.094384 | -0.188185 | -0.628681 | -1.057082 | -0.546142 | -0.670378 | -0.526930 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.113254 | -0.033138 | 0.113254 | -0.489762 | -0.777307 | -1.353562 | -1.019095 | -0.766878 | -0.004988 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 0.378672 | -0.224049 | 0.020673 | -0.165014 | -0.387262 | -1.883030 | -1.360324 | -0.774776 | 0.378672 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 4.947299 | 4.947299 | 0.522988 | -0.319909 | -0.320405 | 0.138381 | -1.003430 | -0.407957 | -0.214838 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 0.493764 | 0.272623 | -0.071359 | -0.311978 | -0.082449 | -0.901514 | -1.172856 | 0.493764 | -0.780395 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 3.159701 | 0.469089 | 3.159701 | -0.072888 | -0.337285 | -1.300236 | -0.927869 | -1.584864 | -1.580913 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.385316 | 0.385316 | -0.008694 | -0.417208 | -0.443193 | -1.223242 | -1.100853 | -0.672597 | -0.774005 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.571680 | 0.571680 | 0.207815 | -0.095373 | -0.242158 | -1.349744 | -1.383333 | -0.445360 | -0.773444 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 4.954876 | 4.954876 | 0.718169 | -0.348124 | -0.639261 | 0.293379 | -1.015588 | -0.004328 | 0.847460 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 1.390802 | 0.870415 | 0.674397 | -1.532428 | -1.101962 | -1.352525 | -1.459998 | 1.390802 | -0.061681 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.518195 | 0.518195 | 0.145581 | -0.023225 | -0.260245 | -0.592514 | -1.092856 | -0.493611 | -0.658236 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Shape | 0.416868 | 0.416868 | 0.141947 | -0.660543 | -0.694252 | -0.137321 | -1.342027 | 0.190214 | -0.744370 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Variability | 1.464080 | 0.272321 | 0.365776 | -0.566222 | -0.391002 | 1.464080 | 0.278208 | 0.542075 | -0.324297 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 8.617529 | 8.617529 | 0.373895 | -0.037996 | -0.543374 | -0.214633 | -0.867785 | -0.471961 | 0.460300 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 8.655562 | 0.518746 | 8.655562 | -0.799148 | -0.413056 | -0.880067 | -0.605877 | 0.128256 | -0.310748 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 7170.402558 | 1934.485793 | 1934.485793 | 1793.074681 | 1793.074681 | 1446.689880 | 1446.689880 | 7170.402558 | 7170.402558 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | nn Temporal Discontinuties | 275.727083 | 73.706908 | 73.706908 | 65.672380 | 65.672380 | 70.842001 | 70.842001 | 275.727083 | 275.727083 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Temporal Discontinuties | 615.046852 | 173.074884 | 173.074884 | 169.346835 | 169.346835 | 184.000284 | 184.000284 | 615.046852 | 615.046852 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | N01 | digital_ok | ee Shape | 6.580136 | 0.805619 | 6.580136 | -0.373869 | -0.510159 | -0.758199 | 0.004613 | 0.722043 | -0.389573 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 1 | digital_ok | nn Shape | 5.409662 | 2.921878 | 5.409662 | -0.555355 | -0.205485 | 0.625007 | -0.086036 | -0.702405 | -0.032646 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 1 | digital_ok | ee Temporal Variability | 3.737102 | -0.077291 | -0.331925 | -0.716321 | -0.832797 | 3.737102 | -0.523512 | -0.347008 | -0.564247 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 1 | digital_ok | ee Shape | 3.239122 | 3.239122 | 0.657432 | 0.306109 | -0.709483 | -0.953128 | -0.573741 | -0.767461 | 1.328422 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 1 | digital_ok | ee Shape | 3.076875 | 3.076875 | 0.567010 | 0.463166 | -0.173236 | -0.431351 | 0.292510 | 0.156936 | 0.739249 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
3 | 1 | digital_ok | ee Shape | 3.754726 | 3.754726 | 0.693943 | -0.535221 | -0.741853 | -1.285395 | 0.138835 | -0.264598 | 0.476038 |