Difference Between Ordinal Data and Nominal Data
On the basis of characterstics of or ordinal data and nominal data, they can be differentiated as:
Ordinal Data Vs Nominal Data |
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Characterstics |
Ordinal Data |
Nominal Data |
Definition |
Represents categories with a specific order or ranking. |
Represents categories with no inherent order or ranking. |
Numeric Value |
Grades (A, B, C), Likert scales (1st, 2nd, 3rd), Socio-economic status (Low, Medium, High). |
Colors (Red, Blue, Green), Gender (Male, Female), Types of fruit (Apple, Orange, Banana). |
Arithmetic Operations |
Values have a meaningful order or sequence. |
Values do not have a meaningful order or sequence. |
Scale of Measurement |
Limited arithmetic operations (e.g., you can say B is higher than C, but not by how much). |
No meaningful arithmetic operations (e.g., no sense in saying Red + Blue = Green). |
Examples |
Falls under the ordinal scale. |
Falls under the nominal scale. |
Examples in Everyday Life |
Ranking your preferences, ordering items by importance. |
Categorizing items without any inherent order, like classifying colors or gender |
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