In the first chapter Malcolm Gladwell’s Outliers he discusses how in Canadian Junior Hockey there is a higher likelihood for players to be born in the first quarter of the year.
In my previous post I looked at College Football Non-Conference games to create a network map overlaid on top of the United States using the {ggraph} package. In this post I’ll be extending that to examine Conference Realignment, which is when colleges change from one conference to the next.
We’re in the middle of College Football’s bowl post-season and I’d been wanting to do a more in-depth post on networks using {tidygraph} and {ggraph} for a while. So now seemed like as good a time as any to explore some College Football data.
I love movies. I enjoy watching them, I enjoy reading about the industry (sometimes), and as a bit of a data-nerd (exhibit a: my blog), I enjoy learning about the outliers in the industry.
During COVID I’ve started watching some older “classic” movies that I hadn’t seen before but felt for whatever reason I should have seen as a movie fan. Last week, I had watched The Third Man after listening to a podcast about Spy Movies.
In a previous post I created a cool-looking (in my opinion) heatmap of my Marathon training from years back. One of the downsides to that density-based method of making the heat map was that routes I only ran once didn’t show up very clearly.
Motivation This post was inspired by my wife who used the GPS data from her Strava app to plot her running routes during 2020. Since I don’t run nearly as much as I used to, I need to go back to when I was training for the NYC marathon to find enough running to make such a map worthwhile.
Motivation While browsing Reddit’s r/DataIsBeautiful sub-reddit I came across a post from Fabio Votta showing a beeswarm plot of US County vote share in the 2020 Election. Having never seen a beeswarm plot before I wanted to come up with an excuse to try it out.
Motivation During this pandemic I’ve found a source of comfort in Dancing with the Stars (DWTS). I’ve never watched any other season before and I think a large part of starting now are:
A few month’s back Mrs. JLaw and I were discussing baby names (purely for academic purposes) and it got me thinking about how have popular names changed over time. It was a particular interest to me as someone who had a name that was somewhat popular for a while and has since fallen out of fashion.