barplot <- ggplot(data, aes(fill=colour, x=name, y=value)) + # enter data frame theme( panel.grid.major = element_blank() # Remove gridlines (major) ,panel.grid.minor ...

This means that ggplot2 provides a consistent and logical approach to building visualizations, making it easier to create complex and customized plots ... Stacked bar graphs are used to represent the ...

Next I’ll create a grouped bar chart and save it to the variable my_chart. my_chart <- ggplot ... theme( plot.title = element_markdown(), legend.position = "none", axis.text.x = element_markdown ...

ggplot scatter plot with default text labels. geom_text() uses the same color and size aesthetics as the graph by default. But sizing the text based on point size makes the small points’ labels ...