Batch 76: How to Create Heatmap and PCA Plots in R | Data Visualization & Dimension Reduction

🔥 Welcome to Batch 76! In this powerful tutorial, you’ll learn how to create Heatmaps and PCA (Principal Component Analysis) plots in R using popular packages like ggplot2, pheatmap, factoextra, and prcomp(). These tools are essential for visualizing patterns and reducing dimensionality in big datasets.

✅ What You’ll Learn in This Video:
✔️ How to create a Heatmap in R with pheatmap and ggplot2
✔️ How to perform PCA (Principal Component Analysis) in R
✔️ How to visualize PCA results with factoextra
✔️ Interpreting clustering patterns and principal components
✔️ Best practices for high-quality data visualization

📌 Chapters for Easy Navigation:
⏳ 00:00 Introduction
🔥 02:10 Creating a Heatmap in R
📉 05:30 Performing PCA in R (prcomp)
📈 08:15 Visualizing PCA with fviz_pca
🎨 11:00 Styling & Customizing Heatmaps and PCA Plots
📢 13:00 Best Practices & Interpretation

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