If you're a SAS user, chances are you're a bit of a science/technology/engineering/math nerd -- and also a fan of The Big Bang Theory. Therefore this SAS analysis on The Big Bang Theory should be right up your alley!
Yesterday (September 22) was the start of the 8th season for the TV series, and I saw a graph representing the number of viewers for each episode of the first 7 seasons. It was eye-catching and interesting, and showed a general upward trend in viewers. But I immediately noticed several things I'd do differently with a SAS graph...
So I found the raw data on Wikipedia, and imported it into SAS and started working on my own graph. Here's what I came up with (click the snapshot of the graph below to see the full-size interactive version):
The original graph used an 'area under the curve' graph, but I used a bar chart instead because showing angled lines between episodes is somewhat misleading (each episode is a discrete event, not a snapshot of a continuous event). And by using discrete bars, I was able to add html hover-text with the episode number & title for each bar.
The original graph only showed response axis numbers up to 20 million, and it was therefore not obvious that some of the episodes in Season 7 had more than 20 million viewers. I show the full axis in my graph, and add reference lines so you can easily see that some episodes had over 20 million viewers.
I also added a title to my graph, so you'd know what it represents! :)
So, what's your theory on why The Big Bang Theory is so popular?