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How to Create Line Plot, Smooth Plot, and Boxplot in R | Batch 85 | ggplot2 Visualization Guide

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📊 Batch 85: Line Plot, Smooth Plot & Boxplot in R
In this tutorial, you'll learn how to use ggplot2 in R to create line plots, smooth trend plots, and boxplots for effective data visualization.
📌 What You’ll Learn:
✔️ Line Plot – Use geom_line() to show trends over time
✔️ Smooth Plot – Use geom_smooth() to display trendlines with confidence intervals
✔️ Boxplot – Use geom_boxplot() to display distributions, medians, and outliers
✔️ Combine multiple geoms for layered visualizations
✔️ Customize colors, labels, legends, and themes
✔️ Export publication-quality plots
🎯 Ideal for students, researchers, and data analysts using R and ggplot2 for scientific reports and presentations.
📥 R script and sample dataset are available in the pinned comment
📞 Join our WhatsApp group for Zoom-based live training
🔔 Subscribe for more tutorials on R, data analysis, and visualization
#RProgramming #Batch85 #ggplot2 #LinePlot #Boxplot #SmoothPlot #DataVisualization
In this tutorial, you'll learn how to use ggplot2 in R to create line plots, smooth trend plots, and boxplots for effective data visualization.
📌 What You’ll Learn:
✔️ Line Plot – Use geom_line() to show trends over time
✔️ Smooth Plot – Use geom_smooth() to display trendlines with confidence intervals
✔️ Boxplot – Use geom_boxplot() to display distributions, medians, and outliers
✔️ Combine multiple geoms for layered visualizations
✔️ Customize colors, labels, legends, and themes
✔️ Export publication-quality plots
🎯 Ideal for students, researchers, and data analysts using R and ggplot2 for scientific reports and presentations.
📥 R script and sample dataset are available in the pinned comment
📞 Join our WhatsApp group for Zoom-based live training
🔔 Subscribe for more tutorials on R, data analysis, and visualization
#RProgramming #Batch85 #ggplot2 #LinePlot #Boxplot #SmoothPlot #DataVisualization