Environmental Data Analysis in R
Overview
Statistical data-analysis project in R exploring whether people's late-night meal choices change with external factors — using correlation analysis and clustering to surface patterns in the data.
Key points
- Wrote R scripts to clean, transform, and analyze the dataset.
- Computed a correlation-coefficient matrix to identify related variables.
- Applied clustering analysis to group observations and reveal structure.
- Practiced exploratory data analysis and statistical visualization.
Figures
/Correlation coefficient.png)
/Clustering analysis.png)