Commit 681d64d0 authored by Thomas Brand's avatar Thomas Brand
Browse files

Minor fix.

parent 3d85473d
Pipeline #200765 canceled with stage
......@@ -6,7 +6,7 @@ Tags: DBnomics, database, R
Slug: electricity-conso-france
Authors: Thomas Brand
Summary: By using high-frequency data on electricity consumption in france, the impact of the second lockdown seems to have been less severe, especially for large companies.
Download: https://git.nomics.world/macro/macro.nomics.world/tree/master/content/elec-conso-france
Download: https://git.nomics.world/macro/macro.nomics.world/-/tree/master/content/elec_conso_france
output: html_document
---
......@@ -356,6 +356,6 @@ Large enterprises and SMEs experienced a net decrease (-20% and -27% respectivel
- Retrieve all the data on DBnomics : https://db.nomics.world/ENEDIS/
- Reproduce and update the presentation with the code : https://git.nomics.world/macro/macro.nomics.world/tree/master/content/elec-conso-france
- Reproduce and update the presentation with the code : https://git.nomics.world/macro/macro.nomics.world/-/tree/master/content/elec_conso_france
- High frequency data are available on DBnomics thanks to a partnership between Banque de France, Cepremap and OECD
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