Visualisation of Qualitative Variables Using Data Analysis

In the previous segments, we learnt about the various ways in which we can visualise the quantitative variables. Let's go ahead and learn a bit about how to visualise the qualitative variables.

Pie Chart

The first chart that we would be discussing is pie-chart.

Pie-chart has the following properties :

• In the chart, each category would be represented by a different colour. The sector covered by that category would represent the percentage share it occupies with respect to the data that is being analysed.
• However, it is not good for analyzing more than 6-7 categories as viewers may not be able to differentiate immediately.
• Also, it becomes difficult to find many colours to differentiate between the categories.

Bar Chart

Now, you'll learn about another visualisation technique which overcomes the main problem of a pie-chart by being capable of handling more variables - a bar chart.

So you just learnt about bar charts and an extension of it, the stacked bar chart. Here is a handy list of properties of them:

• The rectangles in a bar chart represent the number of observations belonging to each category. Useful when the number of categories is too high for a pie chart.
• When we further divide the rectangles in a bar graph into specific categories, the visualization is referred to as a stacked bar chart. This is useful when the given bar chart is unable to offer insight at a sub-category level.