This repository explores the fundamentals of demographics analysis using Python. It covers essential topics such as population characterization based on age, gender, location, income, and education. The repository provides practical examples and tutorials on leveraging Python libraries for data manipulation, visualization, and statistical analysis.
- Introduction to Demographics Analysis
- Data Handling and Preprocessing Techniques
- Exploratory Data Analysis (EDA) for Population Data
- Advanced Visualization Methods
- Business Applications and Decision-Making
Clone the repository and explore the provided Jupyter notebooks to learn and apply demographics analysis techniques with Python. Each notebook includes detailed explanations and code examples to guide you through the analysis process.
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