Description: This project analyzes demographic data extracted from the 1994 Census database using Python and Pandas. The goal is to explore population statistics, income levels, and other demographic patterns through data manipulation and calculations.
Features:
- Counts the number of people of each race.
- Calculates the average age of men.
- Computes the percentage of people with a Bachelor's degree.
- Calculates the percentage of people with advanced education (Bachelors, Masters, or Doctorate) who earn more than 50K.
- Calculates the percentage of people without advanced education who earn more than 50K.
- Determines the minimum number of hours worked per week and the percentage of high earners among them.
- Identifies the country with the highest percentage of people earning more than 50K.
- Finds the most popular occupation for high earners in India.
Dataset:
The dataset used is census.csv, containing the following columns:
age,workclass,fnlwgt,education,education-nummarital-status,occupation,relationship,race,sexcapital-gain,capital-loss,hours-per-week,native-country,salary