Dilcia19
commented
3 years ago I made the most important changes - some of the others are just nice-to-haves.
Next step will be to clean up the repo so that we can make it public when the story publishes. Also, need to redo the charts and update the numbers in the story.
[x] Look at layoff numbers from the start of 2020 to (Friday date) & then do the same for 2019. This gives us room to compare layoffs within the same time frame
[x] Change year column to integer (because why is it a float?)
On the per capita dataframe, add raw number counts of layoffs and size of population (circle back later if there's time)
Try multiple per capita calculations to see what makes sense (currently, there's not enough time for this, we are already at winter break and the story might publish soon, so we are keeping the original calculation which calculates job loss per 100,000)
Have totals for both laid off workers and add population table I don't quite remember what was meant by this, but this is what that bullet point says verbatim (not sure, so I can't make it a task...)
[x] Leave cities as title case