Self-learning Tutorials

Introduction

Introduction to the Data Visualization with R tutorials.

Read the Video Transcription

1. La fonction plot

• The plot function
• Plot type
• Generic functions and regression
• Customization: arguments, parameters
• Adding elements: lines, points, text functions
• Saving a rendered plot with the Graphical User Interface (GUI)
• Saving a rendered plot with the console
• Juxtaposition
• Conclusion: the barplot, hist, boxplot and qqnorm functions, the stats library

Read the Video Transcription

2. Transformation des données avec la fonction reshape

• The long format
• The wide format
• Casting a dataframe into the long format
• The reshape function
• Arguments of the reshape function
• Conclusion: the reshape2 library

Read the Video Transcription

3a. ggplot2 : la fonction qplot

• Preamble
• Syntax
• Remarks

Read the Video Transcription

3b. ggplot2 : la fonction ggplot

• The ggplot function
• Basic principles of the ggplot function: mapping, layers, aesthetics
• Layer superposition: the geom_lines and geom_points functions
• Exporting a graph: the ggsave function
• Conclusion: combination of several visualizations

Read the Video Transcription

4. ggplot2 : les échelles de couleurs

• Types of scales: color scales, position scales
• The geom_* and scale_* functions
• Predefined color scales: scale_color_* functions
• Discrete color scales
• Continuous color scales
• User-defined color scales (manual)
• Editing the legend
• Conclusion: choice of colors, customization of legends

Read the Video Transcription

5. ggplot2 : les échelles de positions et les thèmes

• Continuous position scales
• Discrete position scales
• Predefined themes
• The theme_bw and theme functions
• Conclusion: making sure graphs remain readable

Read the Video Transcription