triketora / women-in-software-eng

Crowdsourced repository of women in software engineering stats.

This is the data collection follow-up to "Where are the numbers?" https://medium.com/grace-hopper-2013/cb997a57252

Viewing Data

The easiest way to view the collected data is this Google spreadsheet: https://docs.google.com/spreadsheet/ccc?key=0AlZH8QBl60oodEJTdFA5TlZOcDJCMU02RkZoSHF5SHc#gid=0

Contributing Data

Please read the contributing guidelines. Thank you for helping to improve the data!

How does the spreadsheet get updated?

Right now, I manually run update_script.py to pull the numbers out of data.txt and submit them to the Google spreadsheet.

Something like this:

python2 update_script.py -d data.txt -s $SS_KEY

You can pass it in to your own spreadsheet by creating your own project in the Google Developers Console, generating a client ID for a web application with redirect URI http://localhost:8080/, saving those credentials into client_secrets.json, and running the script with your own spreadsheet key SS_KEY specified, where SS_KEY is the key found in a Google Docs spreadsheet URL:

https://docs.google.com/spreadsheet/ccc?key=$SS_KEY

Questions / Comments / Concerns?

Please reach out to me on Twitter at @triketora or contact me via my website. Feedback on anything big or small is very welcome :)

women-in-software-eng's Issues

Let's make this more than binary

I'd like this amazing idea to benefit from more than just women:men identities - let's broaden and allow for people to self-id in other categories then analyze the data accordingly.

eg: instead of pulling num_female_eng and num_eng let's say grab num* and chart that so a company could have (and people could make pull requests for data that looks like):

[company_name]
company: Name
num_women_eng: 13
num_men_eng: 92
num_transwoman_eng: 2
num_genderqueer_eng: 1
last_updated: 10/20/2013

Then sort this based on whatever is between num_ and _eng to get the columns or whatever.

I could submit a patch for this probably but putting it in an issue in case anyone else wants to tackle this before I get to it. Thanks for doing this!

Hardware engineers?

Do hardware engineers count in this?

Versal headcount is 4

Should be 4.

License

Hi,
I could not find any license information - how is this repository licensed? Please include this information in the repo.
Thanks,
s

Voluntary response bias?

Hey folks, I love everything about this initiative. I'm concerned, however, that the approach is going to give us some skewed and/or inaccurate data. I'm sure others have considered this and just wanted to open up a forum for discussion. How do we tackle companies uncomfortable or embarrassed with their numbers and build a better picture of diversity (or lack thereof) in software engineering?

Spreadsheet update script broken due to Google Spreadsheets upgrade

https://code.google.com/p/google-apps-script-issues/issues/detail?id=5102

Treehouse data is not correct

I have verbal confirmation from one of the founders that there are at least two female devs. I don't have hard numbers, but the current numbers are definitely incorrect.

Data Free To Use?

Is the data presented in this project free for others to use (non-commercially of course)?

I'm a Software Engineer at Webkite. We develop an application that takes raw data (typically from a CSV file) and builds a searchable website which we refer to as a "Kite".

After @gregates submitted his pull request with our numbers we discussed building a Kite from this data and making it public for everyone. To avoid any problems I figured we should ask before building anything.

Here's a basic example of one of our sites: http://netrunner.flyasite.com/.

Thoughts?

Full-time or permanent employees?

In the contributing doc, it states:

Only full-timers please; no interns or contractors.

Does this actually mean full-timers, or does it mean 'permanent employees'?

We have contractors who are full-time, but some of our most senior engineers are permanent employees who are a core part of our engineering team, but work four days a week, so wouldn't qualify as full-timers. It would feel very strange not to include them in our numbers.

Should data scientists be included in counts?

Can we update the README to clarify whether data scientists should be counted, or if there are any guidelines for what counts as a data scientist who does "software engineering"?

Countries

It's also really hard to find this type of data in other countries, e.g. in my home country, Germany. I can only guess that most of these companies are based in the US - ?

Any plans to add a "country" field, or multiple data files for different countries? Or maybe I'll create a fork... Any forks yet for other countries?