Just a small repo to store some tests with Matplotlib from dataquest's blog.
So this is tiny script and more of a reminder to self that Atom uses the top most project folder as the working directory. This WILL mangle all relative paths.
The demo uses a direct link to the dataset but rather use a downloaded dataset for something that isn't going to change as it isn't me paying for the bandwidth.
Thank you to Dr. Randal Olson for the dataset and his blog post with his visualisations is here.
A direct link to the dataset if you want to directly download the csv is here.
Further thanks to the National Center for Education Statistics who supplied the original data.
For those who don't have and don't want Jupyter notebooks.
Please note I am making no assumptions nor any conclusions as I have not studied this data, it's actual original source, the source I got it from or even looked at most of the dataset itself. It is just some data to make graphs with and part of a tutorial.
For those who don't have and don't want Jupyter notebooks.
So percent_bachelors is me following a tutorial. This one is me just messing around with Matplotlib's XKCD "style".