Examples of Categorical Data
Some examples of categorical data are,
Pet Preference: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are dogs, cats, birds, etc.
Yes/No Questions: This is an example of binary data, where the categories are limited to two values. For example, a survey question asking if someone has a pet or not.
Color Grouping: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are red, blue, green, etc.
Breed or Model: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are poodle, bulldog, sedan, SUV, etc.
Gender: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are male, female, non-binary, etc.
Hometown: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are New York, Los Angeles, Chicago, etc.
Coffee Preference: This is an example of nominal data, where the categories are based on qualitative characteristics. The categories are latte, espresso, cappuccino, etc.
Clothing Sizes: This is an example of ordinal data, where the categories have a natural order. The categories are small, medium, large, etc.
Categorical Data
Categorical data classifies information into distinct groups or categories, lacking a specific numerical value. It refers to a form of information that can be stored and identified based on their names or labels. Categorical Data is a type of qualitative data that is easily measured numerically.
In this article, we will learn about, what is categorial data, types of categorical data, and some real-life examples.
Table of Content
- What is Categorial Data?
- Types of Categorial Data
- Difference Between Ordinal Data and Nominal Data
- Features of Categorical Data
- Examples of Categorical Data
- Analysis of Categorical Data
- What is Categorial Variable?
- Advantages of Categorical Data
- Disadvantages of Categorical Data
- Categorical and Numerical Data
- Application Of Categorial Data
- Challenges In Categorial Data
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