Anemia Analysis with R

This project explores a small medical dataset about anemia and analyzes the relationship between blood features such as Hemoglobin and MCV.

Project Summary

• Goal: Analyze the correlation between anemia diagnosis and hemoglobin levels.
• Tools Used: R, ggplot2, dplyr, R Markdown
• Dataset: anemia.csv (includes Hemoglobin, MCV, MCH, etc.)
• Visualizations:
  • Boxplot of Hemoglobin based on Anemia result (0 = No, 1 = Yes)
  • Scatter plot of MCV vs Hemoglobin with trend line

Files in This Repository

File	Description
anemia.csv	The medical dataset used
analyse_anemie.R	R script with full code to generate plots
boxplot_anemie.png	Exported PNG of hemoglobin boxplot
scatter_mcv_hemoglobin.png	Exported PNG of MCV vs Hemoglobin plot
anemia_analysis.Rmd	R Markdown file to generate HTML report
anemia_analysis.html	Final rendered HTML report
README.md	Project documentation

Insights

• Patients diagnosed with anemia generally have lower hemoglobin levels.
• A slight positive trend appears between MCV and hemoglobin concentration.

How to Run the Project

1. Clone this repository or download the ZIP
2. Open the R project folder in RStudio
3. Make sure anemia.csv is in the root folder
4. Run analyse_anemie.R to generate the plots
5. Or open anemia_analysis.Rmd and click Knit → HTML

Next Improvements

• Add more visualizations (e.g., histograms of MCH, MCV distribution).
• Compare results with a larger anemia dataset.
• Automate the report generation with R scripts.