TechIntersections_Slides.pdf

In my talk, I’m going to explore how we can answer our own questions through data exploration and how to foster curiosity. By taking the audience through one of my experiments, I will give them an overview of how to obtain and analyze data to reach a conclusion.

Transcript

1. Yeli! @YellzHeard #TechIntersections
3. ?
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6. ?????????????
10. um...
12. Math Computer Science Statistics Data science
14. “What is the gender distribution of the people I follow?” @jessejiryudavis https://www.proporti.onl
15. http://obsessionwithregression.blogspot.com
16. @ActivistData @lchu3n
17. @samswey https://mappingpoliceviolence.org
19. How do people identify themselves on the web?
21. tbt
22. ?????????????
24. Where you can get data • ProgrammableWeb: https://www.programmableweb.com/ • Data.world • Data.gov • Scraping APIs CheerioJS, BeautifulSoup @YellzHeard
25. Retrieve data from twitter Filter by gender Go through bios and get order.
26. “The more constraints one imposes, the more one frees one’s self.” - Igor Stravinsky
27. https://twitter.com/cspan/lists/ members-of-congress
28. Getting the data 1. Tweepy 2. CSV 3. Sex machine
39. Men 1. Work only: 85.2% Parent or Spouse: 14.8% 2. Parent: 55.5% Spouse: 45.5% Women 1. Work only: 87.4% Parent or Spouse: 12.6% 2. Parent: 77.8% Spouse: 22.2%
43. why?
44. • Active vs passive learning. • Acknowledging your limited knowledge. • Cultivating curiosity and overcoming ignorance. • Actually...
45. ? Thank you! @YellzHeard