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9th class > Statistics > Bar Graphs

Bar Graphs

In earlier classes, you have already studied and constructed bar graphs. Here we shall discuss them through a more formal approach. Recall that a bar graph is a pictorial representation of data in which usually bars of width are drawn with equal spacing between them on one axis (say, the x-axis), depicting the variable. The values of the variable are shown on the other axis (say, the y-axis) and the heights of the bars depend on the values of the variable.

Example 1 : The following graph is about the months of birth:

Observe the bar graph given above and answer the following questions:

Let us now recall how a bar graph is constructed by considering the following example.

Example 2 : A family with a monthly income of ₹ 20,000 had planned the following expenditures per month under various heads:

HeadsExpenditure (in thousand rupees)
Grocery4
Rent5
Education of children5
Medicine2
Fuel2
Entertainment1
Miscellaneous1

Draw a bar graph for the data above.

Solution : We draw the bar graph of this data in the following steps. Note that the unit in the second column is thousand rupees. So, ‘4’ against ‘grocery’ means Rs. 4000.

  1. We represent the Heads (variable) on the horizontal axis choosing any scale, since the width of the bar is not important. But for clarity, we take equal widths for all bars and maintain equal gaps in between. Let one Head be represented by one unit.

  2. We represent the expenditure (value) on the vertical axis. Since the maximum expenditure is ₹ 5000, we can choose the scale as 1 unit = ₹ 1000.

  3. To represent our first Head, i.e., grocery, we draw a rectangular bar with width 1 unit and height 4 units.

  4. Similarly, other Heads are represented leaving a gap of 1 unit in between two consecutive bars.

The bar graph is drawn in following figure

Here, you can easily visualise the relative characteristics of the data at a glance, e.g., the expenditure on education is than double that of medical expenses. Therefore, in some ways it serves as a better representation of data than the tabular form.

Let us now see how a frequency distribution table for continuous class intervals can be represented graphically.