- Lister les variables qui ont un comportement anomormales.
- J'ai indiqué des hypothèses en gras. La majorité du temps c'est la possibilité que la valeurs est plusieurs unités de mesures différentes (comme
ETCO2
), mais il est possible que cela montre une difficulté pour le patient ou le bloc opératoire, à voir avec le métier. - Vous pouvez retrouver le notebook d'analyse de ces données avec les graphiques ici
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import random | |
from datetime import datetime, timedelta | |
from time import perf_counter | |
import matplotlib.pyplot as plt | |
import polars as pl | |
######################################## | |
# Functions to read and create DataFrames |
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from time import perf_counter | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import polars as pl | |
######################################## | |
# Functions to read and create DataFrames | |
######################################## |
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from time import perf_counter | |
import matplotlib.pyplot as plt | |
import pandas as pd | |
import polars as pl | |
######################################## | |
# Functions to read and create DataFrames | |
######################################## |
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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station_id;total_point;mean_transactions_all;Contamisation_IF_transactions_all;mean_transactions_out;Diff;profile_station_activity_transactions_all;PROFILE_STATION_RULE;profile_station_activity_transactions_out | |
160;64496;0.00;;0.00;0;low;144;low | |
181;2;0.00;;0.00;0;low;144;low | |
92;65219;0.01;;0.00;0.01;low;144;low | |
161;64028;0.01;;0.00;0.01;low;144;low | |
167;62437;0.01;;0.01;0;low;144;low | |
168;50066;0.01;;0.02;-0.01;low;144;low | |
180;31672;0.01;;0.00;0.01;low;144;low | |
183;17277;0.01;;0.01;0;low;144;low | |
71;64813;0.02;;0.01;0.01;low;144;low |
Voici un petit document des liens et idées intéressants pour trouver une solution au stationnement de vélos au Node.
Il y a environ 8 à 12 vélos tous les jours au Node et cela devient contraignant pour la sécurité du lieu. Si aucune solution n'est trouvé, les coworkers devront attachés leurs vélos à l'extérieur à la merci de la pluie et des possibles dégradations.
Il faut donc +/- 15 places pour les vélo au Nodes sans que cela ne gène personnes.
- B33MGPTAFNB : TAFNB - MGP / MONTANT NET
- WC52 : CFE - ALLOCATION COMPENSATRICE - EXO dans les QPV / COMMUNE
- J86 : TH - NOMBRE DE BENEFICIAIRES DE L ABATTEMENT SPECIAL A LA BASE / GEMAPI
- L16 : TH - BASES NETTES INTERCOMMUNALES EXONEREES (ANCIENS DO TOTAUX) - MONTANT
- L15VP : TH - BASES NETTES COMMUNALES EXONEREES VIEUX PARENTS - MONTANT
- X382 : CFE - EXONERATION QPV TPE CREATION D ENTREPRISES (EXO 53C) / BASES EXONEREES / SYNDICAT
- AOG12 : TH - PERSONNES A CHARGE DE RANG 1 ET 2 - TOTAL DES ABATTEMENTS (GEMAPI)
- B32MGPTAFNB : TAFNB - MGP / TAUX NET
- SIREPT : NUMERO SIREN DE L EPT
- WC70 : FB - ALLOCATION COMPENSATRICE - EXO dans les QPV / COMMUNE
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# Author: HJ van Veen <info@mlwave.com> | |
# Description: Experiment to learn a tSNE transformer for new | |
# test data with a multi-output GBM | |
# | |
# Idea first seen at lvdmaaten.github.io/tsne | |
# > [...] it is not possible to embed test points in an existing | |
# > map [...] | |
# > A potential approach to deal with this would be to train | |
# > a multivariate regressor to predict the map location from | |
# > the input data. |
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insee_metropole = {'59350' : 'Lille', | |
'59013' : 'Lille', | |
'59017' : 'Lille', | |
'59044' : 'Lille', | |
'59051' : 'Lille', | |
'59056' : 'Lille', | |
'59090' : 'Lille', | |
'59098' : 'Lille', | |
'59106' : 'Lille', | |
'59128' : 'Lille', |
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# | Name | Type 1 | Type 2 | Total | HP | Attack | Defense | Sp. Atk | Sp. Def | Speed | Generation | Legendary | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Bulbasaur | Grass | Poison | 318 | 45 | 49 | 49 | 65 | 65 | 45 | 1 | False | |
2 | Ivysaur | Grass | Poison | 405 | 60 | 62 | 63 | 80 | 80 | 60 | 1 | False | |
3 | Venusaur | Grass | Poison | 525 | 80 | 82 | 83 | 100 | 100 | 80 | 1 | False | |
3 | VenusaurMega Venusaur | Grass | Poison | 625 | 80 | 100 | 123 | 122 | 120 | 80 | 1 | False | |
4 | Charmander | Fire | 309 | 39 | 52 | 43 | 60 | 50 | 65 | 1 | False | ||
5 | Charmeleon | Fire | 405 | 58 | 64 | 58 | 80 | 65 | 80 | 1 | False | ||
6 | Charizard | Fire | Flying | 534 | 78 | 84 | 78 | 109 | 85 | 100 | 1 | False | |
6 | CharizardMega Charizard X | Fire | Dragon | 634 | 78 | 130 | 111 | 130 | 85 | 100 | 1 | False | |
6 | CharizardMega Charizard Y | Fire | Flying | 634 | 78 | 104 | 78 | 159 | 115 | 100 | 1 | False |
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