Examples on Categorical Data
Example 1: Favorite Ice Cream Flavors
You conduct a survey in your school cafeteria to find out students’ favorite ice cream flavors. You collect the following data:
Student |
Favorite Flavor |
---|---|
John |
Chocolate |
Mary |
Vanilla |
Peter |
Mint Chocolate Chip |
Alice |
Chocolate |
Bob |
Strawberry |
Sarah |
Strawberry |
Solution:
Data is categorical because “Favorite Flavor” has distinct categories like chocolate, strawberry, vanilla, etc. You can analyze this data in various ways below is one such way:
Create a table showing the number of students who prefer each flavor.
Flavor |
Frequency |
---|---|
Chocolate |
2 |
Strawberry |
2 |
Vanilla |
1 |
Mint Chocolate Chip |
1 |
Example 2: Movie Genre Preferences
You ask your classmates about their favorite movie genres and get the following data:
Students |
Favorite Genre |
---|---|
David |
Animation |
Emma |
Sci-Fi |
Liam |
Action |
Olivia |
Drama |
Adam |
Comedy |
Noah |
Comedy |
Solution:
Data is categorical because “Favorite Genre” has distinct categories like Comedy, Drama, Action, etc.
Create a table showing the number of students who prefer each Genre.
Genre |
Frequency |
---|---|
Comedy |
2 |
Action |
1 |
Drama |
1 |
Sci-Fi |
1 |
Animation |
1 |
You can represent this both example in Pie chart as well as in Bar graph.
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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