What type of data is represented in a histogram?

A histogram is specifically used to represent continuous data, which is data that can take on an infinite number of values within a given range. Continuous data is often derived from measurements, such as height, weight, or time, which can vary smoothly without distinct separations between possible values. The bars in a histogram are used to display the frequency of data points within specified intervals or "bins," allowing for the visualization of the distribution and the overall shape of the data.

In contrast, discrete data consists of distinct and separate values, often counted in whole numbers, making it more appropriate for other types of charts, such as bar graphs. Categorical data represents distinct categories without an intrinsic numerical relationship, while ordinal data involves categories that do carry a meaningful order but not a specific scale of measurement, such as rankings. Each of these other data types would not be accurately represented by a histogram, as it is designed to showcase the continuous range and distribution of values.