Week 5 of Data Science. Basketball players who make several baskets in succession are described as having a hot hand. Fans and players have long believed in the hot hand phenomenon, which refutes the assumption that each shot is independent of the next. However, a 1985 paper by Gilovich, Vallone, and Tversky collected evidence that contradicted this belief and showed that successive shots are independent events. This paper started a great controversy that continues to this day, as you can see by Googling "hot hand basketball." For this assignment, we used an open-source dataset of Kobe's shot data from @OpenIntro to focus on the performance of one player: Kobe Bryant of the Los Angeles Lakers. His performance against the Orlando Magic in the 2009 NBA Finals earned him the title Most Valuable Player and many spectators commented on how he appeared to show a hot hand. From my analysis, I debunk the theory of Kobe (RIP) having a hot hand. #RIPKobe #DataScience #hotHandTheory #Probability #independentEvents #GoogleCloud #NBA #Lakers #OrlandoMagic

Based on the Basketball Shot Charts tutorial in R by Dominic Samangy: https://www.youtube.com/watch?v=U_RTbdvXonA

HW 3