34 comments
Awesome!
Thank you! I hope that you decide to submit an analysis!
Here is my submission: http://protocolvital.info/2016/03/24/2016-texas-primaries-mapped/
Great work! Congrats on being the first submission!
I look forward to your submission!
This is not mine but is interesting:
https://sites.google.com/site/electoralintegrityproject4/projects/electoral-violence
Here’s a quick analysis I mocked up – hopefully I’ll get around to making another submission!
Great entry! I l was not aware that donation data was publicly available at all, let alone at the county level!
Hi I got a message from Tal about submitting to the contest. Where do I do it? I can submit both election apps 🙂
Great! To enter just leave a comment on this blog post with a link to your entries!
this is the israeli election app. it has more stat features (bootstrapping the mandates distributions using sampling errors and user built government coalitions based on real and resampled results) than the USA one
I am an R, as well as statistics, novice, and do not have an formal accreditation other than the usual tertiary education, but have always enjoyed working with statistics and data. Recently, I’ve started exploring both R and Python on old data sets I considered trying to publish about. Anyway, here are my entries:
Chi-Square in R on by State Politics (Red/Blue) and Income (Higher/Lower):
http://dataanalyticsworkouts.blogspot.com/2016/03/chi-square-in-r-on-by-state-politics.html
Decision Tree in R, with Graphs: Predicting State Politics from Big Five Traits:
http://dataanalyticsworkouts.blogspot.com/2016/03/decision-tree-in-r-with-graphs.html
Logistic Regression in R on Politics and Income:
http://dataanalyticsworkouts.blogspot.com/2016/03/logistic-regression-in-r-on-politics.html
Great! Thank you!
Can you update your entries to say where the data comes from, and provide a link to the source of the data?
Here is a post detailing how to plot Congressional ideology over time: http://is-r.tumblr.com/post/33765462561/the-distribution-of-ideology-in-the-us-house
The same blog has several posts on mapping with R, for example:
Mapping the Gerrymander: http://is-r.tumblr.com/post/38619550409/measuring-the-gerrymander-with-spatstat
Dot density maps of electoral returns: http://is-r.tumblr.com/post/37397867444/dot-density-maps-with-spsample
Great contest, motivated me to get started on something I’ve thought of for a while… I’ve started my entry here: http://ellisp.github.io/blog/2016/04/03/nzelect1/
I’ll be doing two or three additional posts, you can consider them as separate entries or the whole thing as a single entry with parts (which is probably more the way I’m thinking of it). I’m creating a new R package to give convenient access to New Zealand general election results, doing some sample analysis and a Shiny app, and hopefully will get onto some real analysis of spatial trends in voting behavior.
Great! I look forward to your next entry!
My second ‘entry’ is really an extension of the first, going into more detail of how the R package was built, and is at http://ellisp.github.io/blog/2016/04/04/nzelect2/ . The third and (hopefully) fourth will be more stand alone bits of analysis!
I had one more bit of election analysis I wanted to do, so I have a new post here on voter turnout in Utah’s caucuses this election cycle:
http://juliasilge.com/blog/Who-Came-To-Vote/
Thank you!
Next in my series – this time looking at micro-spatial contrasts between selected parties in selected locations, and creating a leaflet/shiny app for others to explore http://ellisp.github.io/blog/2016/04/09/nzelect3/
Clearly we have a winner.
Hi Ari, hi everyone.
My modest entry here: https://klondata.wordpress.com/2016/04/14/us-2016-elections/
Cheers !
An analysis of tweets directed to Mr. Trump and those originating from his own twitter.
Link to the report: https://drive.google.com/file/d/0B_7vDlyLlG39bjFYbU0yMmxpcEU/view?usp=sharing
Because of the amount of time it took search twitter for tweets directed towards Mr. Trump I am also including a data frame with these tweets: https://drive.google.com/file/d/0B_7vDlyLlG39NkpILXl0UV9TWEE/view?usp=sharing
Sorry for the unintended double post. Could you provide some pointers as to how to get a developer’s key ?
No worries Karmin, I am glad you love the post and hopefully you like some of the additional analysis I plan to do on the data.
In order to get a developer’s key point your browser over to: https://apps.twitter.com/
Create an app and plug away into you get an API_key and a secret_key. One thing to note, the documentation instructs that you set the callback URL to http://127.0.0.1:1410
My final entry, or component of my multi-part entry, however you want to treat it, now available at http://ellisp.github.io/blog/2016/04/16/nzelect4/
One last entry! Looking at the accuracy of the primary polls in the 2016 GOP Primaries.
http://rpubs.com/vijayvithal/BBMP-Election-2015
My analysis of the BBMP elections that took place last year in Bangalore, India