| Map > Data
Science > Explaining the Past
> Data Exploration > Univariate
Analysis > Categorical Variables |
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Categorical
Variables
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| A categorical or discrete variable is one that has two or more
categories (values). There are two types of categorical variable, nominal
and ordinal. A nominal variable has no intrinsic ordering to
its categories. For example, gender is a categorical variable having two categories (male and female)
with no intrinsic ordering to the categories. An ordinal variable has a clear
ordering. For example, temperature as a variable with three orderly
categories (low, medium and high). A frequency table is a way of
counting how often each category of the variable in question occurs. It may be enhanced by the addition of percentages that fall into each category. |
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Univariate Analysis -
Categorical |
| Statistics |
Visualization |
Description |
| Count |
Bar Chart |
The number of values of the specified
variable. |
| Count% |
Pie Chart |
The percentage of values of the specified
variable. |
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| Example: The housing variable with three
categories (for free, own and rent). |
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