Basic Descriptive Visualizations of the presidential elections data

[chrisdick14]

Use the presidential elections data on data.world to create basic visualizations about the contests. Ideas include (but are not limited to):

• Candidate vote totals
• Party Registration
• Voter Turnout
• Victory Margins
• Demographic / Economic Variables

[rkahne]

I can work on this, too.

[chrisdick14]

Thanks @rkahne. Excited to see what you come up with.

[mtelpoukhovskaia]

I'd also like to work on this. Do we all add our graphs to the "model_2016_presresults.Rmd" file?

[mamnunam]

I'd also be happy to chime in. How do we split the work to avoid duplication?

[rkahne]

https://github.com/rkahne/election-transparency/blob/master/notebooks/r-notebooks/descriptive_visualizations.Rmd

Hey guys, I am waiting for my first pull request to get approved before sending another, but here is the link to my fork and the visualization I came up with about this. The visualizations are meh, but I think the dataframes I came up with might unlock some creativity among those who are more inclined towards this kind of work.

[chrisdick14]

Sorry @mtelpoukhovskaia and @mamnunam, I was out of town on vacation. I will be adding, in the next day or two, the way that we should work on different notebooks as well as naming conventions. I think starting from another notebook, such as @rkahne's would be a good way to go, and then we will probably have you submit with your initials or something like that to show the different directions the notebook has gone.

[mtelpoukhovskaia]

Sounds good, @chrisdick14. It would be great to have the process streamlined.

[keshavramaswamy]

hi @chrisdick14 - I would like to work on this too - Do you recommend moving forward from @rkahne's notebook?

[chrisdick14]

Yes @keshavramaswamy, that would be a great way to start.

[chrisdick14]

Also, @mtelpoukhovskaia and @mamnunam, see the below explanation for naming conventions for the time being, I would start with what @rkahne has and go from there, as for not duplicating work, if you have an idea of what you are going to do please post here as a way to claim it:

The consensus we've reached, for now, is to do modeling/analysis/viz in a notebook under the /notebooks directory in the git repo. If you're interested in working in R, there is an r-notebooks subdirectory under notebooks...you can just put your .R source file in there, using the naming convention [slack username]-brief_description_of_file.R.

[potalora]

Hi all, I'd like to dig into this as well, I'll add a notebook in the next few days

[bbrewington]

@rkahne Just a heads up, I'm getting a 404 error when I click https://github.com/rkahne/election-transparency/blob/master/notebooks/r-notebooks/descriptive_visualizations.Rmd (from your previous comment)