Detailed visualization of NBA shot selection

Posted to Statistical Visualization  |  Tags:  |  Nathan Yau

Sports loves conditional distributions. What does Joe Billy Bob typically do against such and such team? How does play differ in wins and losses? And a lot of the data is easily accessible, which makes it straightforward to answer these questions. Buckets, by Peter Beshai, uses NBA data to explore shot selection with plenty of conditionals.

The above is a partial view of Stephen Curry’s shot selection. If you follow professional basketball, the shot chart shouldn’t be too surprising, with lots of threes at a higher percentage than the league average.

You also get shot distributions for distance and position on the court. More conditionals, you say? You can select the specific games you’re interested in (from the 2013-14 season), or choose the more common categories such as games the team won or lost.

Maybe you want to compare players. Buckets has you covered.

Compare players

There’s also a league-wide view and team multiples.

Team view

Basically, if you’re into basketball, you’ll be able to spend some time with this project. There’s a lot to poke at.

Favorites

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.

Most popular porn searches, by state

We’ve seen that we can learn from what people search for, through the eyes of Google suggestions: state stereotypes, national …

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.

This is an American Workday, By Occupation

I simulated a day for employed Americans to see when and where they work.