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Petrichor12 / Coronavirus

Analysis on the novel coronavirus data from worldometers.
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Add dates to Data/world_info.csv so we can track changes over time #11

Closed Dan-OKeeffe closed 4 years ago

Dan-OKeeffe commented 4 years ago

I'm not sure the best way of doing this - maybe a dataframe with the time/date and then a file so we can reference any of them? or time/date could also be stored in the file name. If we use times remember to use UCT, as we'll be updating from different places (so time zones are important for sequential data)

For example: date_time_data.csv: 2020/03/23,11:01,00000.csv 2020/03/23,15:25,00001.csv 2020/03/24,13:12,00002.csv ...

That way we can look at the date_time_data.csv file to track changes over time, for example to do animated plots. That way we can have more worldwide data then just the specific country data (which is limited to like 15 countries).

Petrichor12 commented 4 years ago

Ah right, so you mean maybe every time we manually update the worldwide csv file, it saves a new one with the current time? This shouldn't be too hard to implement right, could add a format to the name?

But then I'm unsure how we could access that to analyse or plot stuff if everything is in multiple csvs? Also calling in the csv file might be problematic. I'm sure there are ways around this, I just don't know them :D

Petrichor12 commented 4 years ago

As they now have time data for every country I think this is not necessary anymore