I tried using Python to combine the three tables Diabetes, Obesity, and Inactivity utilizing a shared column called “FIPS”. To ensure consistent merging, I ran across a problem where the column titles in one of the tables were different. I had to fix this. The Diabetes and Inactivity tables were successfully combined to create a DataFrame, and I then set out to examine the data’s statistical characteristics, including mean, mode, median, standard deviation, skewness, and kurtosis.

Also I have revisited key concepts from our last class, including correlation, scatterplots, linear regression, residual analysis, heteroscedasticity, and the Breusch-Pagan Test. Having gained a solid understanding of these fundamental concepts, I’m eager to put them into practice using Python. I plan to apply these techniques to the Diabetes, Obesity, and Inactivity tables data and wanted to explore much insights.