Basic Bar Plot with facet_wrap in R
R
ggplot (facet_data, aes (x = Month, y = Value, fill = Category)) + geom_bar (stat = "identity" , position = "dodge" , color = "white" ) + facet_wrap (~Region) + ggtitle ( "Basic facet_wrap Example" ) + scale_fill_brewer (palette = "Set2" ) + theme_minimal () + theme (legend.position = "top" ) |
Output:
the ggplot2 library to create a bar plot from the ‘facet_data’ dataset. It visualizes the relationship between the ‘Month’ variable on the x-axis, ‘Value’ on the y-axis, and different ‘Categories’ represented by fill colors.
- The ‘facet_wrap(~Region)’ function splits the plot into separate panels for each unique ‘Region’.
- The plot is styled with a minimal theme, a title is added, and a color palette from the Brewer set is applied to differentiate categories. The legend is positioned at the top for clarity.
Customizing Labels and Titles in facet_wrap in R
R
ggplot (facet_data, aes (x = Month, y = Value, fill = Category)) + geom_bar (stat = "identity" , position = "dodge" , color = "white" ) + facet_wrap (~Region, labeller = labeller (Region = c (North = "Northern" , South = "Southern" ))) + ggtitle ( "Customized Labels and Titles" ) + scale_fill_brewer (palette = "Set3" ) + theme_minimal () + theme (legend.position = "top" ) |
Output:
The plot is styled with a minimal theme, a title is added, and a color palette from the Brewer set is applied to differentiate categories. The legend is positioned at the top for clarity. and customizing labels and titles.
Advanced Customization in facet_wrap in R
R
ggplot (facet_data, aes (x = Month, y = Value, fill = Category)) + geom_bar (stat = "identity" , position = "dodge" , color = "white" ) + facet_wrap (~Region, scales = "free" , ncol = 2, labeller = label_both) + ggtitle ( "Advanced Customization" ) + scale_fill_brewer (palette = "Paired" ) + theme_minimal () + theme (legend.position = "top" ) |
Output:
Bubble Charts with Size Aesthetics in facet_wrap in R
R
ggplot (facet_data, aes (x = Month, y = Value, size = Value, color = Category)) + geom_point (alpha = 0.7) + facet_wrap (~ Region, scales = "free" , ncol = 2) + theme_minimal () + scale_color_brewer (palette = "Accent" ) |
Output:
We create bubble chart using the facet_wrap
function in ggplot2. The x-axis represents months, the y-axis represents values, and the size and color of the bubbles are determined by the “Value” column, with each category differentiated by color. The chart is faceted by the “Region” variable into multiple subplots arranged in two columns.
How To Remove facet_wrap Title Box in ggplot2 in R ?
In this article, we will discuss how facet_wrap works in R Programming Language. we will discuss all the types and methods.