Deep Analysis of "Billionaires Statistics Dataset (2023)" which was uploaded by NIDULA ELGIRIYEWITHANA on Kaggle.com

This Python script is designed to perform data analysis and visualization on a dataset containing information about billionaires. The script offers insights into the distribution of billionaires across industries, gender, countries, and whether they are self-made. Additionally, it calculates statistics related to the age and final worth of billionaires.

1. Clone or Download the Repository:

   You can clone this repository to your local machine using Git, or you can simply download it as a ZIP file. Here's how you can clone it:

   git clone https://github.com/yourusername/billionaires-stats.git

Make sure you have the necessary Python libraries installed. You can install them using pip: bash

• Copy code: pip install pandas numpy matplotlib
• Replace the Data File:
• Replace the sample data file (/YourFilePath/Billionaires Statistics Dataset.csv) with your own dataset. You can specify the path to your data file in the load_data function within the script.
• Run the Script:
• Execute the script to generate visualizations and statistics:
• Copy code: python billionaires_stats.py
• This will create and save plots and display statistics.

The script includes the following functions:

• load_data(file_path): Loads data from a CSV file and returns it as a Pandas DataFrame.
• plot_industry_distribution(data): Generates a plot showing the distribution of billionaires across different industries.
• plot_gender_distribution(data): Creates a pie chart illustrating the gender distribution of billionaires.
• plot_country_distribution(data): Produces bar charts displaying the distribution of billionaires by country. The data is split into * three parts for clarity.
• plot_selfmade_distribution(data): Generates a pie chart showing the ratio of self-made billionaires compared to those who are not self-made.
• calculate_statistics(data): Calculates and prints statistics on the age and final worth of billionaires, including median, mean, mode, and standard deviation.

The script will generate the following output:

• Industry Distribution Plot: A bar chart showing the distribution of billionaires across different industries. This plot will be saved as industry_distribution.png.
• Gender Distribution Plot: A pie chart illustrating the gender distribution of billionaires. This plot will be saved as gender_distribution.png.
• Country Distribution Plots: A set of bar charts displaying the distribution of billionaires by country. The data is split into three parts for clarity. These plots will be saved as country_distribution.png.
• Self-Made Distribution Plot: A pie chart showing the ratio of self-made billionaires compared to those who are not self-made. This plot will be saved as selfmade_distribution.png.
• Statistics: The script will calculate and print statistics on the age and final worth of billionaires, including the median, mean, mode, and standard deviation.