Link to Medium article: https://towardsdatascience.com/the-fortune-500-bar-chart-race-9612dc9d0e63
Introduction
Companies rise and fall amidst the intense and ruthless global competition, thus it would be fascinating to visualize the progress of the top global firms over the past few decades
The Fortune Global 500 is an annual ranking of the top 500 corporations worldwide as measured by revenue, and it serves as a good source of data for running visual analysis. I figured it would also be an enriching learning experience to create animations (like a bar chart race) using code (Python) and no-code (Flourish) solutions.
Motivation
- Interested to find out more about Fortune Global 500 companies (after recently taking on a data scientist role in a Fortune 500 firm)
- Keen to explore how to create interactive visualizations (in particular, a bar chart race) using code and no-code solutions
Details
- The Jupyter notebook contains the Python code for pre-processing and formating the Fortune Global 500 dataset, as well as the creation of the bar chart race animation using the
bar-chart-racepackage - The notebook also contains code for the data visualization to derive the additional insights of the Fortune 500 lists
- The Flourish bar chart race visualization (public version) can be found here: https://public.flourish.studio/visualisation/5287940/
- Feel free to drop me a message on LinkedIn (https://linkedin.com/in/kennethleungty) if you are interested in obtaining a copy of entire revenue and rank dataset (for all companies over all 26 years)