Have you ever wondered if you could quantify the behavior of gamblers at the casino? Some seem to win the most, some can be reckless and risky with their bets, and others are casual about the whole experience. While collecting this data from the casino might be a challenge, there is an online platform called Bustabit in which gamblers can bet Bitcoin. Here we have data on thousands of Bustabit gambling sessions and tracked the user, the amount bet, the amount won, and various properties of the particular game itself. Using this data, we will perform a cluster analysis from start to finish in an attempt to group gamblers based on their gambling behavior.
To complete this project, we need to be comfortable with R programming, the tidyverse package in particular, as the data manipulation and summarization routines will use this.
The dataset used includes 10,000 games of Bustabit. Each game tracks the particular gambler, the BustedAt value of the game, and the multiplier at which the gambler cashed out.