Account Ownership Data Analysis

This project uses R to analyze global account ownership data, exploring trends and drawing conclusions based on demographics like gender, country, and education level.

Key Features

• Gender-Based Analysis: The project investigates the differences in account ownership between genders across various countries.
• Country-Specific Trends: It explores and visualizes trends in key countries, including Brazil, India, and the United States.
• Education Level Correlation: The analysis examines the correlation between account ownership percentages and education levels (primary vs. secondary and higher).
• Statistical Insights: The project involves conducting statistical analysis to draw meaningful conclusions about global financial inclusion.

Technical Implementation

The entire analysis was performed using R and R Notebooks.

• R was used for statistical calculations and data manipulation.
• R Notebooks provided an interactive environment for combining code, visualizations, and narrative text to present the findings in a clear and reproducible manner.