Working with data: csv and dataframe #28
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Contributor
JavierBravoDonaire
commented
Sep 27, 2021
JavierBravoDonaire
commented
- Zip with the json file was extracted in the same folder (data).
- New folder that holds inside the code added.
- Code (data.py) that converts the json file to dataframe, and creates a new file csv in the data folder.
oscarescuderoarnanz
approved these changes
Sep 27, 2021
acs
reviewed
Sep 27, 2021
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| """ DATAFRAME TO CSV """ | ||
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| df.to_csv('../data/device-covid19serology-0001-of-0001.csv', index = None) |
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Do we need to convert the data to CSV? Probably the dataframes are better to query the data in order to get insights!
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Once we have the data in CSV format, it is very easy to import it into SQL and design the queries to obtain information. On the other hand, having the data in dataframe makes it easier to design visualisations (graphs) to show on the website. That's why I think it's quite appropriate to have the data accessible in these two ways.
ExZylan
pushed a commit
to ExZylan/devops
that referenced
this pull request
Sep 29, 2021
Added pyhton file that converts json to dataframe and csv
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