Closed katevcoulter closed 4 years ago
added shota
I just did a very messy first pass at the d&d analysis. I came out with a couple of questions.
i'm going through the data now and adding a new treatment column to mark the ones we've assigned to treated, control or exclude if it's blank then we still should double check to decide if we should include or not
shoot i meant wisconsin not ohio my b
I updated the cleaning_2.R file and the turnout_v3.csv with new exclusion criteria. I excluded:
That leaves us with 25 states (4 treatment states and 21 control states).
Control = Alabama, Arizona, Arkansas, Florida, Iowa, Massachusetts, Michigan, Mississippi, Missouri, Nevada, New Hampshire, North Carolina, North Dakota, Oklahoma, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, & Washington
Treatment = Colorado, Idaho, Maine, & Minnesota
perfect!! will confirm that we don’t need to exclude any other states like Cali by tomorrow morning :) excited to chat with you and Shota at 10 am
On Apr 16, 2020, at 2:15 PM, Anna Berman notifications@github.com wrote:
I updated the cleaning_2.R file and the turnout_v3.csv with new exclusion criteria. I excluded:
States that are strange like Cali States whos primaries were effected by COVID States that didn't have Democrat turnout or VEP numbers for 2008, 2016, and 2020. That leaves us with 25 states (4 treatment states and 21 control states).
Control = Alabama, Arizona, Arkansas, Florida, Iowa, Massachusetts, Michigan, Mississippi, Missouri, Nevada, New Hampshire, North Carolina, North Dakota, Oklahoma, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, & Washington
Treatment = Colorado, Idaho, Maine, & Minnesota
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Thank you. It's awesome. I also want to know how the number of samples in the control and treatment groups, in this case, 21 and 4, affect the result statistically. I will ask Nick.
treatment states: minnesota, idaho, colorado, maine
*** will also assign shota when he joins this