Open hs222 opened 3 years ago
I think we've overlooked the deadline :/ Nevertheless, I did some research for datasets and think we should choose multiple ones since one dataset alone would result in too low dataset complexity. The following combination of datasets sounds interesting. They are all downloadable as CSV files (easy to handle in pandas) and seem to be complete/ easy to handle. Go to http://www.gapminder.org/data/ and "List of Indicators" navigate to: 1) Economy - Incomes and growth - GDP total, yearly growth 2) Education - Gender equality - Gender ratio of mean years in school 3) Environment - Emission - CO2 emissions per person 4) Babies per woman (total fertility)
I think this combination would make some interesting observations and the datasets are all sorted by country and year. We could also drop one of those datasets. Please have a look at them and give me some feedback. Regards, Johannes
Your proposal makes sense, so you have my vote for it. I would suggest creating a chat in WhatsApp or some of the other popular chat apps and to continue the discussion there.
I downloaded the datasets and put them into the data folder
Good choice. Thx for the download. I also think WhatsApp is probably better for further discussion.
Good idea! Here is the invitation link to the group: https://chat.whatsapp.com/JttVjD3dCbPGM71c5ioIuY
Hi, sorry for joining late (didn't see that new issue) and thanks for proposing/choosing the datasets.
I would suggest something from http://www.gapminder.org/data/ or https://ec.europa.eu/eurostat/data/database.