How to create a correlation heatmap in R [Update 2024]

How to create a correlation heatmap in R [Update 2024]

Key Points A correlation heatmap is a plot displaying the correlation coefficients between variables in a data frame. A correlation heatmap can help you explore the relationships between variables, identify potential patterns, and find outliers. You must use the ggplot2 package and the mtcars data set to create a correlation heatmap in R. You need to calculate the correlation matrix using the cor() function, reshape it into a long format using the melt() function, create a basic heatmap using the ggplot() and geom_tile() functions, add text labels using the geom_text() function, adjust the color scale using the scale_fill_gradient2() function, remove the upper triangle using the subset() argument, remove the background, grid lines, and axis titles using the theme() function, and add a title and a caption using the ggtitle() and labs() functions. Hi, I'm Zubair Goraya, a Certified data analyst and a writer for Data Analysis, a website that provides tutorials related to RStudio. In this …