PCA Analysis in R (https://ifthekarhussain.github.io/PCA-Analysis-R/)

This repository contains my work on Principal Component Analysis (PCA) using R.
The goal of this project was to apply PCA on a dataset, reduce its dimensions, and explore patterns through clear visualizations.

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Project Overview

• Performed PCA to identify the main sources of variation in the data.
• Used visualizations to show how samples and variables group together.
• Created an HTML report that documents the full workflow, results, and interpretation.

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Tools & Skills

• R for statistical computing and visualization
• FactoMineR for running PCA and multivariate analysis
• factoextra for extracting and visualizing results
• R Markdown for reproducible reporting

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Deliverable

• pca_lab.html → complete PCA report with analysis, plots, and explanations

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Why It Matters

This project shows my ability to:

• Work with high-dimensional data
• Apply PCA as a statistical technique for data reduction
• Communicate findings clearly with professional visualizations and reports

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