The default legend title of the bar chart corresponds to the name of the variable passed tofilland can be overridden with the code below. # install.packages("ggplot2") library(ggplot2) ggplot(df, aes(x = x, y = y, fill = group)) + geom_bar(stat = "identity") + guides(fill = ...
Stacked barchart A stacked barplot is very similar to the grouped barplot above. The subgroups are just displayed on top of each other, not beside. The only thing to change to get this figure is to switch the position argument to stack. # library library(ggplot2) # create a dataset ...
Barplot(also known as Bar Graph or Column Graph) is used to show discrete, numerical comparisons across categories. One axis of the chart shows the specific categories being compared and the other axis represents a discrete value scale.
easyggplot2:Perform and customize easily a plot with ggplot2: box plot, dot plot, strip chart, violin plot, histogram, density plot, scatter plot, bar plot, line plot, etc, … ggplot2 - Easy way to mix multiple graphs on the same page ...
easyggplot2:Perform and customize easily a plot with ggplot2: box plot, dot plot, strip chart, violin plot, histogram, density plot, scatter plot, bar plot, line plot, etc, … ggplot2 - Easy way to mix multiple graphs on the same page ...
easyggplot2:Perform and customize easily a plot with ggplot2: box plot, dot plot, strip chart, violin plot, histogram, density plot, scatter plot, bar plot, line plot, etc, … ggplot2 - Easy way to mix multiple graphs on the same page ...
easyggplot2:Perform and customize easily a plot with ggplot2: box plot, dot plot, strip chart, violin plot, histogram, density plot, scatter plot, bar plot, line plot, etc, … ggplot2 - Easy way to mix multiple graphs on the same page ...
Lollipop chart: Lollipop is an alternative to bar charts when you have large data sets. ggplot(df2, aes(x = rowname, y = mpg)) + geom_segment( aes(x = rowname, xend = rowname, y =0, yend = mpg), color ="lightgray") + ...
ggscatterstats() scatterplots for correlation between two variables ggcorrmat() correlation matrices for correlations between multiple variables ggpiestats() pie charts for categorical data ggbarstats() bar charts for categorical data ggcoefstats() dot-and-whisker plots for regression models and meta...
When working with categorical variables (= factors), a common struggle is to manage the order of entities on the plot. Post #267 is dedicated to reordering. It describes 3 different way to arrange groups in a ggplot2 chart: Using the forcats package With dplyr With the reorder() fun...