August 2016
Intermediate to advanced
228 pages
4h 44m
English
Content preview from Introduction to R for Business IntelligenceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Plotting with ggplot2
Wilkinson (2005) developed The Grammar of Graphics as a way of approaching data visualization by describing them as individual components working together. Wickham (2010) used this grammar to develop the ggplot2 package. In ggplot2, you can create plots by adding each component of the visualization as a layer. In this section, you will recreate a scatterplot from
Chapter 4
, Linear Regression for Business that you built using base R graphics. Convert emp_size to a factor to see its effect in visualizing information:
plot_dat <- read.csv("./data/Ch7_marketing.csv") plot_dat$emp_size <- cut(plot_dat$employees, breaks = 3, labels = c("Employees: 3 - 6", "7 - 9", "10+")) library(ggplot2); library(scales) plot <- ggplot(data ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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