This month, I originally set out to write a data journalism article and pitch it to publications. I plan to follow through on this.

I plan to use Bayesian point analysis, which I learned about from G. Elliott Morris newsletter about the Democratic debates. This method allows us to see when the rate of events from a Poisson process changed over time. Poisson events are defined as independent events that occur randomly at a rate based on a certain probability distribution. This post from Nicole Radziwill does a a great job of explaining the concept and running through sample code.

The analysis I plan to do is to apply Bayesian point analysis to NBA three point shooting. At what point did the rate of attempts per game change statistically? A player or team attempting a three pointer can be considered an independent event that occur with different frequency throughout a game.

Step 1) Load in data and conduct Bayesian point analysis
Step 2) Write article with context and findings
Step 3) Pitch publications with draft of article
Step 4) Receive response and adjust article based on feedback

Happy August.