Adult Income Dataset Analysis

This project explores the Adult income dataset to understand the factors influencing income levels. It includes a variety of analyses to provide insights into the dataset.

Detailed analysis includes:

Correlation Analysis: Examines the correlation between numerical variables using a correlation matrix and heatmap.
Distribution of Age: Analyzes the distribution of the age column.
Education and Income Relationship: Investigates how education level affects income.
Work Class and Age Distribution: Analyzes the distribution of work class and age.
Educational Degrees: Counts the number of people with a Bachelor's or Master's degree.
Bivariate Analysis: Examines relationships between pairs of variables.
Enhanced Income Visualization: Adds columns to better show income values and visualizes the distribution.
Income Distribution by Class and Sex: Analyzes income distribution across different classes and sexes.

The project uses data visualization to understand the distribution and relationships within the dataset. Examples of visualizations include:

Bar Chart: Shows the distribution of income by age.
Bar Plot: Visualizes the relationship between education level and income.
Histogram: Displays the distribution of age.
Histogram: Shows the distribution of work class.