Oftentimes when you get some data, especially time series from some data bases, it’s in the wrong “format”, and it needs to be reshaped. Let’s have a look!

In this post, we yet again build on the former post, this time to understand parallel processing a bit more. Remember the poll from the last post, where we calculated CI:s from a poll?

In this post, we’ll build on the former post, and ad a bit of iteration programming, understanding how we can reduce code for ease of readability and efficiency. Reducing code also reduces the points where problems can happen, since if it works on one place, it should work on all other places if it’s iterated, but if it’s just copied you have to change it on many places.

Assume we have two candicates, T and D, who are the two candidates running for election in a small village. You poll 1099 inhabitants, and of them 544 say the will vote for D, and 555 say they will vote for T.

Hello World! Welcome to my new blog and website, where I will showcase interesting stuff on my journey in learning data science. For other pol-sci’s out there, look out for any posts on how to incorporate data science in political science!