Skip to main content

Prepare data for LexImpact

Project description

LexImpact Prepare Data

Ce projet regroupe les scripts permettant de préparer les données des différents projets Leximpact.

Schéma complet de préparation et d'utilisation des données

LexImpact Pipeline

Le pipeline prepare-data est donc le suivant :

Input: erfs_flat_2018.h5

01_db_reduce.ipynb

Objectif: Réduit le nombre de variables dans la base

Output: 01_erfs_reduced_2018.h5

02_db_enlarge.ipynb

Objectif: Ajoute des gens fictifs dans la base pour pouvoir calibrer

Output: 02_erfs_enlarged_2018.h5

03_db_add_rfr.ipynb

Input : CalibPote-2018-revkire.json

Objectifs:

  • Calculer le RFR dans OpenFisca
  • Calibrer le RFR ERFS_2018 sur POTE_2018

Output: 03_erfs_rfr_2018.h5

04_db_add_var

0403_db_add_var_copules.ipynb

0401_db_add_var_copules-algo_monte-carlo.ipynb

0402_db_add_var_copules-validate.ipynb

Input : ExportCopule-2018-variable.json

Objectif: Ajoute les variables issues de POTE 2018 dans la base ERFS 2018

Output: 04_erfs_var_copules_2018.h5

05_db_calib_var_copules.ipynb

Input : CalibPote-2019-variable.json

Objectifs:

  • Vieillit la base ERFS_2018 vers 2019 (nos données les plus récentes) : inflation économique et inflation des foyers
  • Calibre chacune des variables issues de POTE sur POTE 2019

Output: 05_erfs_calibrated_ff_2018_to_2019.h5

06_db_aging_final.ipynb

Objectifs:

  • Vieillit la base ERFS_2019 vers 2021 (année voulue pour les calculs) : inflation économique et inflation des foyers
  • Bruitage statistique de la base pour anonymisation

Output: 06_erfs_ff_2018_aged_2021.h5

How to contribute

Please see the contributing page.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

leximpact_prepare_data-0.0.10.tar.gz (50.4 kB view details)

Uploaded Source

Built Distribution

leximpact_prepare_data-0.0.10-py3-none-any.whl (54.3 kB view details)

Uploaded Python 3

File details

Details for the file leximpact_prepare_data-0.0.10.tar.gz.

File metadata

  • Download URL: leximpact_prepare_data-0.0.10.tar.gz
  • Upload date:
  • Size: 50.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.13

File hashes

Hashes for leximpact_prepare_data-0.0.10.tar.gz
Algorithm Hash digest
SHA256 c852152f94fd3e62eb2f5d4d5afae9f935dde3a1a1d3084a3d43120e605ec2f5
MD5 42c6452f7311a88749f2f89790f1cb8b
BLAKE2b-256 5af8b14fc763ed28271a3754ed282c386c6e422b247f226fd066f25ec12b0fac

See more details on using hashes here.

File details

Details for the file leximpact_prepare_data-0.0.10-py3-none-any.whl.

File metadata

  • Download URL: leximpact_prepare_data-0.0.10-py3-none-any.whl
  • Upload date:
  • Size: 54.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.13

File hashes

Hashes for leximpact_prepare_data-0.0.10-py3-none-any.whl
Algorithm Hash digest
SHA256 ddca5091a8a71b31c41283ecd031713db514a6b31374ad13032d28a03100c356
MD5 263639521de3a00497a7625f5f40d1e9
BLAKE2b-256 701c64f2e70c83a3f885f4c8fb3d8fa583b22404fcf96d6754951b36662b0d3e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page