Categorical data classify observations by qualitative attributes or group membership, such as color, transportation mode, or type of pet, rather than measuring numerical amounts. The understanding includes defining clear, non-overlapping response categories, recording each observation consistently, and organizing the results in a tally or frequency table so that category counts can be compared and later represented in a bar graph. This scope excludes more advanced statistical modeling, inference, and analysis of continuous or multivariable data.
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Categorical data place each observation into a group based on a quality or type, not a numerical measurement. Examples include favorite color, type of pet, or way of getting to school.
To collect categorical data:
Example: A teacher asks 12 students, “How did you get to school today?”
The possible categories are:
These categories are clear and non-overlapping because each student chooses the one method they used.
The students’ responses are:
Now record each response with a tally mark.
| Transportation | Tally | Frequency |
|---|---|---|
| Walk | 2 | |
| Bus | 5 | |
| Car | 3 | |
| Bike | 2 |
The tally marks show each response as it is recorded. A group of five is written as four vertical marks crossed by a fifth mark, making it easier to count.
The frequency column gives the total number of students in each category. Check the total:
Because the total is 12, every student’s response was recorded. This table can later be used to make a bar graph, with one bar for each transportation category.
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