Histogram
A histogram is a type of graph that represents the distribution of continuous data. It breaks down the data into intervals or bins and counts the number of values that fall within each bin.
R
# Create a histogram of the "mtcars" dataset data(mtcars) hist(mtcars$mpg, breaks = 5, main = "Distribution of MPG", xlab = "Miles per Gallon", ylab = "Frequency") |
Output:
Histogram for Graphical Data Analysis
In this example, we use the hist() function to create a histogram of the “mpg” variable in the mtcars dataset. The breaks argument specifies the number of bins to use, and the main, xlab, and ylab arguments are used to add a title and axis labels to the plot.
Graphical Data Analysis in R
Graphical Data Analysis (GDA) is a powerful tool that helps us to visualize and explore complex data sets. R is a popular programming language for GDA as it has a wide range of built-in functions for producing high-quality visualizations. In this article, we will explore some of the most commonly used GDA techniques in the R Programming Language.
For the data visualization, we will be using the mtcars dataset which is a built-in dataset in R that contains measurements on 11 different attributes for 32 different cars.