Data Visualization Fast Food, ZIP Code, and Franchise Sales
Project Description
This was the last Data Visualization project I did for my Elements of Data Visualization computer science course. These visualizations use three different datasets: The first contains data about the location for the top ten Fast Food Restaurants in the U.S. The second dataset contains salary and population data for all U.S. ZIP Codes and the third dataset contains data about the average franchise sales revnue for each of the ten Fast Food Restaurants. This project depicted the estimated market share of each restaurant brand, the contribution of every state to the total sales revenue of each restaurant brand, and the determination of what restaurants were located in the more wealthy ZIP codes. I worked collaboratively on this project with my partners,Chenchao Zhang and Patricia O'Brien.
Project Details
- Plot 1: KPI: MPG to Passenger Volumn Ratio for 2 door cars since 1984
- Plot 2: KPI: MPG to Passenger Volumn Ratio fo 4 door cars since 1984
- Plot 3: Average MPG of Vehicles for each Type of Transmission
- Plot 4: Combined MPG of All Vehicles since 1984
Interesting Observations
The only interesting part (since it was a more interactive version of the fourth project) about this project was allowing the user to define what inputs and filters for the dataset. While this app doesn't reside in a central location, you can go to my GitHub account and download the app (along with RStudio and the appropriate plugins) and see it in action.
