Exploring and Visualizing Data (R Simplified)
Автор: Susan B.
Загружено: 2025-04-11
Просмотров: 577
Easy guide to basic data analysis and visualization techniques in R, using a sample employee satisfaction dataset. If you’re new to exploratory data analysis (EDA) in R, this guide walks through how to generate descriptive statistics, create visualizations, identify outliers, and assess correlations between variables.
Topics Covered:
→ Using skimr for quick descriptive stats
→ Visualizing categorical and numerical data with ggplot2
→ Identifying and visualizing outliers with box plots
→ Programmatically finding and removing outliers using IQR
→ Calculating and plotting correlation matrices with corrplot
⭐ NOTES ⭐
https://codewithsusan.com/notes/basic...
📺 If you missed the previous guide, start here:
• R Simplified - Import & Clean Data
📺 Related Videos:
• Tidyverse vs. Base R (R Simplified)
⏱️ CHAPTERS ⏱️
00:00 Introduction
01:34 Summary statistics with skimr
07:12 Numeric variables and histograms
09:38 Boxplots to identify outliers
13:11 Programmatically identify outliers
14:29 Remove outliers
17:00 Correlations
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