This project is part of a college Python experiential learning assignment focused on data analysis and visualization. It utilizes a dataset from Kaggle, "Half a Million Lifestyle," which contains various lifestyle metrics and demographic information.
The dataset includes the following columns: Gender , First Name , Last Name , City , State , Country , Age ,
Annual Vacation Days , Average Monthly Spend on Entertainment , Number of Online Purchases in Last Month ,
Number of Charity Donations in Last Year ,
Average Weekly Exercise Hours ,
Investment Portfolio Value ,
Health Consciousness Rating ,
Education Level ,
Average Daily Screen Time ,
Environmental Awareness Rating ,
Social Media Influence Score ,
Risk Tolerance in Investments ,
Number of Professional Trainings Attended ,
Tech-Savviness Score ,
Financial Wellness Index ,
Lifestyle Balance Score ,
Entertainment Engagement Factor ,
Social Responsibility Index ,
Work-Life Balance Indicator ,
Investment Risk Appetite ,
Eco-Consciousness Metric ,
Stress Management Score ,
Time Management Skill ,
Lifestyle Choice.
This project includes various graphs and heatmaps that explore relationships between lifestyle choices and various metrics.