What is Categorial Data?
Data that can be categorized or grouped is called categorical data. It is a type of data in statistics that consists of categorial variables or data that is grouped, and it can be derived from observations made of qualitative data that are summarized as counts or from observations of quantitative data grouped within given intervals. Categorial data is also well-known as qualitative data.
Definition of Categorical Data
Categorical data is a type of data in statistics that stores data into groups or categories using names or labels.
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
Contact Us