Add initial survey analysis notebook

[melissawm]

Set this up as a JupyterBook because it was easy. Right now only the 2023 data is correctly processed, I plan to finish the others off in this PR but just wanted to share what I have so far.

Pending issues I want to solve:

• Fix plot sizes/font sizes in plots to be consistent
• Some tick labels have an extra ".1" which I think is an artifact of the typeform export
• Use this type of plot for a few of the questions
• Some of the plots need to have better info about axis/ticks and what they represent (maybe use percentages instead of raw numbers)
• Process the "Select up to three areas of improvement from the following list that would be most valuable to you" question

PREVIEW: https://melissawm.github.io/napari-surveys/2023_survey.html

[TimMonko]

Great work! I like just seeing the data huzzah! And it's much nicer than the previous reports I've seen!

A few things

1. Peter on Zulip asks to sort the y-axis
2. The x-axis could benefit from a label. On a glance I can't tell if its n-respondents or %-respondents, because I recall around ~120 answered the survey. Especially because I think some questions are single-option and some multi-option questions. -- I think your TODO's will likely cover this, especially the horizontal distribution plots
3. The "Conclusion" might be nice to move to the very beginning

The code itself is beautifully concise! Very impressive work and MUCH better than anything I could produce.

[jni]

This is so wonderful to see @melissawm! 🤩

Use this type of plot for a few of the questions

Ok but please don't use red/green as the colormap? 😅 RdBu? No wait! There's new perceptually uniform diverging colormaps in matplotlib!!! 😍🤩 They look so good! I like managua but any of berlin, managua, or vanimo would be great! (Note: coolwarm is also nice and might be nicer for having the lighter colours in the centre, in contrast to the new ones.)

[melissawm]

Thank you friends! I will work on this on the weekend 😄