Correlation Analysis in R with corrplot | Visualize Correlation Matrix Easily | Batch 76
Автор: Data Analysis &Visualization: R & Python Tutorials
Загружено: 2025-03-16
Просмотров: 46
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📊 Welcome to Batch 76!
In this tutorial, you’ll learn how to perform correlation analysis and visualize relationships between variables using the corrplot package in R.
This is an essential step in Exploratory Data Analysis (EDA) and is widely used in data science, statistics, and research.
🔍 What You’ll Learn:
✅ Calculate correlation matrix using cor()
✅ Understand Pearson, Spearman, and Kendall methods
✅ Install and use the corrplot package
✅ Create professional-quality correlation plots:
Circle plots
Color heatmaps
Number overlays
Hierarchically clustered plots
✅ Customize plot appearance (colors, labels, significance)
Perfect for anyone working on machine learning, data analysis, or scientific research.
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