diff --git a/scripts/scripts/README.md.template b/scripts/scripts/README.md.template index 5f5c4a282096..2397ea620c11 100644 --- a/scripts/scripts/README.md.template +++ b/scripts/scripts/README.md.template @@ -1,7 +1,13 @@ +![Warning](https://img.shields.io/badge/Warning-Data%20has%20been%20moved-red) + +**⚠️ Warning: Our datasets on GitHub are deprecated. Please use https://docs.owid.io/projects/etl/api/covid/.** + + # Data on COVID-19 (coronavirus) by _Our World in Data_ > **Warning** > Johns Hopkins University has stopped publishing on confirmed COVID-19 cases and deaths. We have replaced the entire time series with WHO’s weekly-updated data. This change will not affect users of our charts and dataset. [Read more.](https://github.com/owid/covid-19-data/issues/2784) + ### 🗂️ Download our complete COVID-19 dataset : [CSV](https://covid.ourworldindata.org/data/owid-covid-data.csv) | [XLSX](https://covid.ourworldindata.org/data/owid-covid-data.xlsx) | [JSON](https://covid.ourworldindata.org/data/owid-covid-data.json) Our complete COVID-19 dataset is a collection of the COVID-19 data maintained by [_Our World in Data_](https://ourworldindata.org/coronavirus). We will update it daily throughout the duration of the COVID-19 pandemic (more information on our updating process and schedule [here](https://docs.owid.io/projects/covid/en/latest/data-pipeline.html#overview)). It includes the following data: diff --git a/scripts/src/cowidev/cmd/vax/generate/utils.py b/scripts/src/cowidev/cmd/vax/generate/utils.py index 328cee4fc7de..0d8aa1f949f9 100644 --- a/scripts/src/cowidev/cmd/vax/generate/utils.py +++ b/scripts/src/cowidev/cmd/vax/generate/utils.py @@ -733,6 +733,11 @@ def run(self): ignore_index=True, ) + # df_vaccinations.to_csv("/home/lucas/repos/etl/vaccinations.csv", index=False) + # df_manufacturer.to_csv("/home/lucas/repos/etl/vaccinations_man.csv", index=False) + # df_age.to_csv("/home/lucas/repos/etl/vaccinations_age.csv", index=False) + + # raise Exception("FORCING BREAK") # Metadata logger.info("2/10 Generating `automated_state` table...") df_automated = df_metadata.pipe(self.pipeline_automated) # Export to AUTOMATED_STATE_FILE