Data Analysis

This project analyzes global country-level data including population distribution, income classification, urban-rural population ratios, and access to water services.

The dataset was cleaned, structured, and analyzed to extract meaningful insights regarding demographic patterns and water accessibility across different income groups.

Key tasks included data preprocessing, handling missing values (NaN), percentage validation, and generating analytical insights using spreadsheet-based tools.

The objective was to identify disparities between income levels and infrastructure access indicators