Investigating America’s Most Reputable Companies

STA/ISS 313 - Spring 2023 - Project 1

Team Six: George McCabe, Shelby Tisdale, Florence Wang, Chris Yang

Introduction to Dataset and Motivation

• Our project aims to investigate the different factors that contribute to customer perceptions of notable company reputations.
• The dataset that we are using comes from the TidyTuesday project that uses data from the Axis-Harris PolI. It contains information about the company’s industry, company attribute scores, and overall RQ scores.

Question 1

How do customer ratings of company attributes vary by industry and how do these attributes relate to one another?

Question 1

Question 1

Question 2

How does company RQ score change between 2017-2022 and are the trends consistent with the overall industry?

Question 2

Question 2

Recap

• Company industry affects how consumers feel about companies.
• Consumers similarly rate a company across all attributes.
• Real-world events affected how consumers evaluated companies over time.

Limitations

• Only have attribute data for 2022, so can’t tell how companies’ attribute ratings changed over time
• Visualizations don’t necessarily depict the underlying reasons due to change in RQ score