Adds data for India #2
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| - name: Convert IT CSV to sqlite db | ||
| run: csvs-to-sqlite it/data/national-data.csv it/data/it-national.db | ||
| - name: Convert UK cases CSV to sqlite db | ||
| run: csvs-to-sqlite uk/data/uk-national-cases.csv uk/data/uk-national-cases.db | ||
| - name: Convert UK deaths CSV to sqlite db | ||
| run: csvs-to-sqlite uk/data/uk-national-deaths.csv uk/data/uk-national-deaths.db | ||
| - name: Convert IN cases time series to sqlite db | ||
| run: csvs-to-sqlite in/data/cases_time_series.csv in/data/in-cases-timeseries.db |
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Since we have quite a few data sets here for IN, I would suggest we conver them into a single sqlite DB, this can be done by passing in all the csv's followed by the DB name which I would call something in in/data/in-national-data.db or something. This will create a table per CSV. See here for an example in the docs - https://github.com/simonw/csvs-to-sqlite
I'll go back and do this for UK soon.
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will resolve by weekend and push
| @@ -0,0 +1,89 @@ | |||
| dailyconfirmed,dailydeceased,dailyrecovered,date,totalconfirmed,totaldeceased,totalrecovered | |||
| 1,0,0,30 January ,1,0,0 | |||
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Is this the format the dates come in from the API? It's a bit random and may not serialise well into a date field :/ maybe we could convert this into a more standard date format and just set the time to 00:00?
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that's doable. will implement
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Thanks so much for this by the way! I wrote out these comments but forgot to submit them :( I've done it now! So sorry for the delay |
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that's okay. it happens. Will push the updates asap. |
Adds data-sets for India, sourced from covid19india.org #1