Skip to main content icon/video/no-internet

A bar chart is a pictorial representation of the information in a frequency distribution. It displays the classes on the horizontal axis and the frequencies or relative frequencies of the classes on the vertical axis. The height of a bar represents how common a particular value or category is in a distribution. A frequency is the number of observations that fall in a class—that is, counts. A relative frequency is the ratio of the frequency of a class to the total number of observations—that is, the proportion or percentage of cases that fall into a class.

One may create either a frequency or a relative frequency bar chart. A frequency bar chart is a graph that displays the classes on the horizontal axis and the frequencies on the vertical axis. The frequency of each class is represented by a vertical bar whose height is equal to the number of times that class occurs in the data set. A relative frequency bar chart is a graph that displays the classes on the horizontal axis and the relative frequencies of the classes on the vertical axis. The only necessary difference between the two types of bar charts is the label on the y-axis: For a frequency bar chart, it will be counts, while for the relative frequency bar chart, it will be percentages.

It is also possible, although less common, to create a horizontal bar chart, which may display either frequency or a relative frequency. A horizontal bar chart displays the classes on the vertical axis and the frequencies or relative frequency on the horizontal axis.

Bar charts are distinguished in two primary ways from histograms:

  • Bar charts are customarily used for discrete or categorical data, while histograms are used only for quantitative data. When histograms are used for continuous data, it usually needs to be grouped into categories.
  • In a bar chart, space is left between the bars, that is, they do not touch each other, while in a histogram, bars may be connected to each other without space.

The second rule emphasizes the discrete or categorical nature of the data presented by the bar chart.

Consider the data given in Table 1, which were collected in a survey from a class of 26 students at Columbus State University.

The classes for grouping the data of sex are ‘Male’ and ‘Female,’ while the classes for grouping the data of siblings are numbers from 1 to 5. Tallying the data sets in Tables 2 and 3, we obtain the frequency and relative frequency distributions for sex and siblings, respectively.

A frequency bar chart and relative frequency bar chart for sex and siblings are displayed in Figures 1 and 2.

Table 1 Survey Information Collected From a Class of Students at Columbus State University
StudentSiblingsSex
11Female
21Female
31Male
41Male
52Male
61Male
71Male
82Male
92Female
102Male
111Female
122Male
132Female
142Female
152Male
162Male
171Female
185Male
194Male
201Female
211Male
222Male
231Female
243Female
255Male
262Female
Source: These data were collected in a survey by the author in an introductory stat class at Columbus State University.
Table 2 Frequency and Relative Frequency Table for Sex
SexFrequencyRelative Frequency
Male1142%
Female1558%
Total26100
Table 3 Frequency and Relative Frequency Table for Siblings
SiblingsFrequencyRelative Frequency
11142%
21142%
314%
414
528
Total26100%

Figure 1 Number of Male and Female Students in a Class of Students at Columbus State University

None

Figure 2 Number of Siblings for Students in a Class at Columbus State University

None

...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles

Sage Recommends

We found other relevant content for you on other Sage platforms.

Loading