mircealex

4 ms·

1. 1.▲
   Data Science Project Style Guide(dataquest.io)

   2 points by mircealex 8y ago|0 comments
2. 2.▲
   Learning Curves for Machine Learning (hands-on)(dataquest.io)

   1 points by mircealex 9y ago|0 comments
3. 3.▲
   by mircealex 9y ago

   Agree, the default style looks much better in 2.x. It's good enough for most use cases, but it's still quite far from publication level, IMO.
4. 4.▲
   by mircealex 9y ago

   Apologies, I only examined the first couple of graphs after the first "FiveThirtyEight" keyword, for which you don't have titles, subtitles etc. The graphs on your article look really nice, but they are quite far from resembl
5. 5.▲
   by mircealex 9y ago

   You're not adding a title, a subtitle, a signature bar. You're not bolding the line at y = 0, you're using block-style legends instead of adding customized labels. All these will require extra code. Your example is potentiall
6. 6.▲
   by mircealex 9y ago

   Simply because we're interested to see if we can do in Python whatever we can do in other programming languages / software. We don't really want to learn a new programming language for every thing we can't do in Python y
7. 7.▲
   by mircealex 9y ago

   It really depends on why you're generating the graphs for. If you needed a visualization for a storytelling article, I really doubt you'd prefer matplotlib's bland standard style. If you just want to visualize some data fast
8. 8.▲
   How to Generate FiveThirtyEight Graphs in Python(dataquest.io)

   267 points by mircealex 9y ago|52 comments