- Analyzed a dataset on global billionaires, covering business, industry, demographic, wealth distribution, and personal details
- Key insights included wealth distribution by industry, billionaire rankings vs. net worth by gender, and correlations between billionaire wealth and national economic indicators
- Python libraries used: Pandas, NumPy, Matplotlib, Seaborn, and Scikit-Learn for data analysis, visualization and predictions
- Detailed description of the analysis is documented here
-
Notifications
You must be signed in to change notification settings - Fork 0
samiksha-khare/world-billionaires-statistics
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Analysis of a dataset on global billionaires, covering business, industry, demographic, wealth distribution, and personal details
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published