This project was done as a course assignment for CS418: Introduction to Data Science course at the University of Illinois at Chicago during the Fall 2019 term along with teammates Yushenli1996 and nathanhe789.

We were provided with the dataset by the Professor. There were 2 CSV files: one contained demographics data of counties of certain US states and the other contained election data of counties of certain US states from the 2016 US Senate elections.

We had to merge both files as a single data file. Before merging we had to address the inconsistencies in both the data files like:

• The election data file was in long format while the demographic data was in wide format.
• The state and county names in both data files were in different formats.

The main purpose of the assignment was to perform Exploratory Data Analysis on the demographic-election data. The data exploration tasks performed on the dataset are:

• Check for redundant/irrelevant variables

• Check for missing values

• Perform null hypothesis on mean population and mean median household income of each county

• Compute descriptive statistic and create box plots for each demographic feature

• Identify the features in the dataset most important to determine whether a county should be labelled as Democratic or Republican.

• Create choropleth map to visualize the majority political party of each county

  

Check out the Jupyter Notebook or the project report to see the data science flow implemented.