By employing a common column called “FIPS,” I tried using Python to combine the three tables, Diabetes, Obesity, and Inactivity. I ran into a problem where the column titles in one of the tables were inconsistent during this procedure, and I had to fix it. I then created a data frame by successfully combining the Diabetes and Inactivity data. After that, I started looking at the statistical characteristics of the data, including measurements like mean, mode, median, standard deviation, skewness, and kurtosis. In addition, I reviewed important ideas from our prior class, covering subjects including heteroscedasticity, scatterplots, linear regression, residual analysis, correlation, and the Breusch-Pagan Test. I am eager to put these fundamental ideas into practice using Python now that I clearly understand them. My purpose is to use these methods to draw conclusions from the information in the tables on diabetes, obesity, and inactivity.