During the week I come across different articles, stories, posts even tweets that inspire or intrigue me and they end up in a list of things for me to revisit. Usually the subject is something that I know very little about but I want to. This week was no exception. I stumbled on an article from FiveThirtyEight titled More Americans Are Dying From Suicide, Drug Use And Diarrhea and was intrigued.
At the time of writing this I have been mired in one of life’s most confusing and convoluted processes, buying a house. After constantly being fed numbers, stats, and figures all of which had Comic Sans as a font, I decided to find out some information for myself. Doing that greatly helped inform me about the buying process and actually empowered me to speak to the various powers at be (and there are a lot of them) with a little more knowledge.
This season of the English Premier League has been nothing short of fantastic. Even though Manchester City has run away with the title (playing beautiful football in the process) pretty much all the other positions in the table are up for grabs. As an ardent Arsenal fan it hasn’t been my favorite season with Arsenal currently sitting in sixth but for other clubs it has been a banner year.
If you were like me Batman cartoons, movies and television shows had been a staple of your Saturday morning for years. They all started with the ‘Bat-man’ first appearing in comic books in 1939, and have come in many iterations from the dark and brooding to the fun and campy. Sadly the world recently lost the original Batman, Adam West, who starred in the 1960’s Batman TV series. I recently stumbled upon an article on Mental Floss that detailed the different villains from that series and decided to make a little tribute to that series and Adam West.
A good visualization always grabs my attention and draws me into articles. I am an avid follower of the Washington Post, New York Times, The Economist and a host of other websites/publications that are doing their fair share of data driven journalism. A couple weeks ago I came across a this article, Men, women, and films from 1843 Magazine which is the Economist’s lifestyle magazine. The article drew me in with the tagline “how pronounced is the gender divide on the silver screen”.
Before I begin I want to say that it is not my intention for this piece to be taken as political. This is more me looking into a dataset I kept coming across in the news cycle and found interesting. In the past few months a lot of things have captured the public eye’s focus and became blurry just as quick when something else happens. It is just the way news stories are covered now.
Recently I saw this really cool visualization around the reliance of the North Korean economy on trade from China. This tree_map is striking in a number of ways. One is that it conveys a ton of information in an easy on the eyes and interactive way. Another is the data itself. North Korea really does have quite the reliance on China. This got me thinking how I would visualize the information with R and I then came across a really cool example of how someone else visualized the same data via a sort of stream graph.
It is summer here in Chicago which means tourists abound and Divvy bikes are everywhere. Awhile ago, and a whole site ago, I posted a little how-to on making calendar heatmaps using the publicly available Divvy data. While that site is gone there are still some links to it out on the internet, one being the awesome Revolution Analytics blog, so instead of leaving people with a 404 I decided to revisit it.
I am not sure if you have heard about it yet but there will be a solar eclipse on 8/21/17. If you are one of a very few people who this is news to, congrats! As the day nears there have been a lot of articles and posts on the subject, with more than a few really awesome visualizations. The unique part about the eclipse is its path of totality that cuts through the heart of the United States.
This is a page dedicated to weekly predictions for English Premier League. I am a fan of the Premier League and I support the Southampton Saints and am a long time Gooner though try as I might no sort of projection I do can make them better. A lot of the data for this comes from the awesome engsoccerdata package available on github. My predictions are under constantly construction, but they are based on Poisson distributions, and you can read a little bit about those here.