Super rough race/gender analysis of http://uk.businessinsider.com/uk-tech-100-slideshow-2016-2
Aplogies to anyone who I've misgendered or attributed to the wrong race/ethnicity or would otherwise chose to be indentfied differently. Let me know and I'll correct things.
numbers
there are 109 people in total
- men: 84 (77%)
- women: 25 (22.9%)
- white: 90 (85.7%)
- white men: 72 (66%)
Explanation of how I've (badly) recorded the results
Line numbers correspond to position number in article
each person is corresponds to "[gender] [ethnicity]" entries that have 2 people have 2 entries side by side, seperated by a space
legend
Ethnicity
- ME: middle eastern / turkish (sorry, this is pretty arbitary grouping, I'm not sure how to do better)
- A: Asian (both south / far-east)
- B: Black
- W: White
Gender
- f: woman
- m: man