This project demonstrates statistical data analysis using Python. It includes data cleaning, exploratory data analysis, hypothesis testing, and data visualisation using a health dataset.
The analysis was completed using Jupyter Notebook as part of a university data analysis project.
- Perform statistical analysis on health data
- Explore relationships between variables
- Generate meaningful visualisations
- Apply hypothesis testing techniques
- Interpret analytical results
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- health-data-analysis.ipynb – Complete Python notebook
- ProjectReport.pdf – Final project report
- mean-values.png
- weight-change-vs-current-weight.png
- weight-change-vs-previous-weight.png
- weight-change-vs-age.png
- p-value-distribution.png
- Descriptive Statistics
- Data Visualisation
- Scatter Plot Analysis
- Mean Comparison
- Hypothesis Testing
- P-value Analysis
Zihad Ahmed Sarker