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MIDS-at-Duke / unifying-data-science-final-project-primaries

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Pre-post analysis #13

Closed aberman6 closed 4 years ago

aberman6 commented 4 years ago

Hi Nick,

We're moving into the second portion of our analysis and we wanted to double-check we have the right mindset for our analysis.

Based on our research, we are assuming we can't attach demographic information to individual voter data - it's just not available.

What we can do is compare multiple counties within a single state that made the switch in 2020. By comparing counties with different demographics we can infer that differences in effect are due to differences in county demographics. Is that correct?

Thanks in advance!

nickeubank commented 4 years ago

Yup! You could also make guesses about people's demographics using packages the impute race based on names. Something like this: https://pypi.org/project/ethnicolr/ (but I'm not quite sure what "best" package is right now, that was a quick google result).

aberman6 commented 4 years ago

Awesome, thanks for the quick reply Nick!

aberman6 commented 4 years ago

Hi @katevcoulter and @shttksm. I ended up collecting turnout and demographic data for all counties in Colorado and doing the bulk of the pre-post analysis. You can find the data set in 02_intermediate_files/turnout_colorado.csv and some quick EDA in 03_results/Colorado_EDA.ipynb.

Let's chat and discuss what we can take from this and want to add into our final report tomorrow (Monday) morning. Take a look at the files and let me know if you have any questions in the meantime!

katevcoulter commented 4 years ago

yay! thanks @aberman6 ! :) just went through everything and I'll be free to talk tomorrow around 11 am if that works

katevcoulter commented 4 years ago

just touched base with anna after looking this over and i think we are set! i'll have the final draft ready for us to go through later today/this evening and we can make final changes tomorrow.