log follower percentiles, cd plot, histogram

bellecarrell / twitter_brand

In developing a brand on Twitter (and social media in general), how does what you say and how you say it correspond to positive results (more followers, for example)?

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log follower percentiles, cd plot, histogram #47

Closed bellecarrell closed 5 years ago

bellecarrell commented 6 years ago

[x] ensure no duplicates for any using user id instead of json string
[x] implement np.cumsum
[x] update log follower percentiles post duplicate fix
[ ] update follower histogram post duplicate fix

bellecarrell commented 6 years ago

going to verify functionality tomorrow

bellecarrell commented 6 years ago

@abenton for the standard histogram, what should I make the bins? If I let it autoset it will create very non-uniform bins, like shown here. To implement the solution, I need to provide bins. I think I came up with bins somewhat randomly in an earlier iteration.

abenton commented 6 years ago

How about every 100 users to start out, then decide how to further aggregate based on the distribution you observe.