DBnomics¶

“the world's economic database”¶

Christophe Benz, Daniel Cohen – CEPREMAP¶

CEPR june 2022¶

Source code of the slides

Objectives¶

  • Aggregate data from hundred of providers
  • Keep provider data as-is
  • Simplify retrieval of data (with automatic updates)
  • Archive data revisions to allow reproducible results
  • Open-Source platform

Key indicators¶

  • 87 providers / 923 million series
    • by comparaison FRED has 1 million series
  • 300 visitors per day
  • started in 2016
  • supported by public institutions
    • e.g. AFD, Banque de France, DG Trésor, France Stratégie, OECD

How to retrieve data?¶

  • by using the website
    • https://db.nomics.world/
    • download Excel or CSV
  • by using the web API
    • https://api.db.nomics.world/v22/apidocs
    • using modules from programming languages or stastistical tools

Example: retrieve data from Python¶

from dbnomics import fetch_series
# provider_code/dataset_code/series_code
df = fetch_series("BDF/FM/FM.D.FR.EUR.FR2.BB.FR10YT_RR.YLD")
df.plot()

This is how those slides are built!¶

=> Data is updated¶