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Voter registration data for 2012

Open mattdornfeld opened this issue 7 years ago • 5 comments

How goes the progress in obtaining voter registration data for 2012 broken down by county? It seems like this is all we have so far.

>>> registration = pd.read_csv('./data/PartyRegistration.csv')[['County', 'Total', 'Year']]
>>> registration[registration.Year==2012]

      County     Total  Year
1054   15001  104323.0  2012
1084   15009   86053.0  2012
1114   15007   40738.0  2012
1144   15003  474554.0  2012

Is the rest of data publicly available?

mattdornfeld avatar May 20 '17 15:05 mattdornfeld

Oh no, I'm so sorry - I started a new post doc and this totally fell off my priorities list. I managed to get the data, and have converted the PDFs to text, but didn't get very far on the python script to extract the information (I'm pretty new to python). Shall I upload the files here or to data world? I don't think I'll have time to do much on them for a few weeks at least. Sorry again.

pannellj avatar May 22 '17 22:05 pannellj

Data.world would be perfect when you get a chance, as well as uploading the scripts you used to clean up here on github.

chrisdick14 avatar May 22 '17 23:05 chrisdick14

@panellj I actually have some free time over the next two weeks. If you want to send me the text files. I can work on a script to extract the relevant data.

mattdornfeld avatar May 23 '17 00:05 mattdornfeld

Sweet, I just emailed you! I just remembered, the reason I didn't upload to data.world was because I wasn't able to get to the point where I had a single CSV file as per the data.world format, or a working script. But if there's a place that I can upload the PDFs/text files/unfinished scripts I'm happy to do that. Otherwise we can wait for @mattdornfeld.

pannellj avatar May 23 '17 01:05 pannellj

Hi @mattdornfeld, @pannellj and @chrisdick14! Saw this come through my inbox and wanted to just share some data.world knowledge (full disclosure: I'm a product designer at data.world :).

While some may think of dw as a place to share finished data work, we also support labeling your files as raw data or clean data through the process. We also support nice previews of scripts and notebooks (here's a tutorial and a great example) so you can keep the data and the work together for easier repro.

Happy to answer any questions or help you guys in any way I can!

sharonbrener avatar May 23 '17 13:05 sharonbrener