Basic Demographics

[jradavenport]

Once the final data files are set (see #17) these are the first basic plots to make (or remake) for all 3 AAS conferences. Needs to be a modular piece of code to do these, so we can run any conference thru once the .csv file is present

• [ ] histogram of F vs M speakers
• [ ] histogram of F vs M question askers
• [ ] histogram of conference attendee genders
• [ ] histogram of # of Q's per talk for F vs M

[PaulDeStefano]

Seems not too hard. I think I can contribute here.

A little confused: Attendee gender seems distinct from session-related data, but .csv has only session-data, and attendee gender data is elsewhere, correct? If so, do you see this as separate code paths or as somehow integrated?

[jradavenport]

The attendee genders are indeed separate, coming from the list of registrants from the AAS. These should (probably) be matched against gendered lists, or using a package like pygender.

This could be it's own code if that's easiest.

[willettk]

That should be added as a raw file to the repo, so that we can recreate gender distributions later on. We want to have the ability to use different gender identification codes, for example.

Here's an example of code and data that I used to identify the gender of attendees at AAS227. I used the python module sexmachine for this.

fe393d38b581d12f99ff6411886cfcc9c66cb27f

Can merge this into the master if helpful, but this should really start with getting the raw data of registrants. I wasn't able to find that for past AAS conferences; I resorted to hacking ADS and downloading people who submitted abstracts, but that's only a subsample of the registrants.