Reeksoverzicht
R Data Exploration and Visualisation
Exploratory data visualization is perhaps the greatest strength of R. One can quickly go from idea to data to plot with a unique balance of flexibility and ease. For example, Excel may be easier than R for some plots, but it is nowhere near as flexible. D3.js may be more flexible and powerful than R, but it takes much longer to generate a plot.
Throughout the book, we will be creating plots using the ggplot2 package.
library(dplyr)
library(ggplot2)
| Status | Status | Type | Titel |
|---|---|---|---|
| 7.0 Introduction | |||
| 7.1 The components of a graph | |||
| 7.2 ggplot objects | |||
| 7.3 Geometries | |||
| 7.4 Aesthetic mappings |