 # Question: What Is Categorical Data Also Known As?

## Is categorical data the same as qualitative?

Nominal data, also known as named data is the type of data used to name variable, while ordinal data is a type of data with a scale or order to it.

Categorical data is qualitative.

That is, it describes an event using a string of words rather than numbers..

## Is categorical the same as discrete?

Categorical variables contain a finite number of categories or distinct groups. Categorical data might not have a logical order. … Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric.

## Is age categorical or numerical?

Quantitative variables take numerical values and represent some kind of measurement. In our medical example, age is an example of a quantitative variable because it can take on multiple numerical values. It also makes sense to think about it in numerical form; that is, a person can be 18 years old or 80 years old.

## Is time a categorical variable?

Here, time is now categorical, which means we get separate bars for each year. We’ve also broken out the different regions to get individual bars for every combination of market, product type, and year. There are other ways to show the same data: we could stack the bars for the different product groups, for example.

## How do you determine categorical data?

A Test for Identifying Categorical DataCalculate the number of unique values in the data set.Calculate the difference between the number of unique values in the data set and the total number of values in the data set.Calculate the difference as a percentage of the total number of values in the data set.More items…

## What is another name for categorical data?

1.10 Synonyms for categorical data: nominal data, attribute data, qualitative variable. 1.11 Synonyms for quantitative data; continuous data, scale data (SPSS’s term), ratio/interval data, numerical information.

## What are the 4 types of data?

4 Types of Data: Nominal, Ordinal, Discrete, Continuous.

## Is name a categorical variable?

Categorical variables take on values that are names or labels. The color of a ball (e.g., red, green, blue) or the breed of a dog (e.g., collie, shepherd, terrier) would be examples of categorical variables.

## Which is an example of qualitative or categorical data?

Qualitative or categorical data have no logical order, and can’t be translated into a numerical value. Eye colour is an example, because ‘brown’ is not higher or lower than ‘blue’. Quantitative or numerical data are numbers, and that way they ‘impose’ an order. Examples are age, height, weight.

## Is ordinal the same as categorical?

An ordinal variable is similar to a categorical variable. The difference between the two is that there is a clear ordering of the categories. … Even though we can order these from lowest to highest, the spacing between the values may not be the same across the levels of the variables.

## Is age continuous or categorical?

An Example: Age Age is, technically, continuous and ratio. A person’s age does, after all, have a meaningful zero point (birth) and is continuous if you measure it precisely enough. It is meaningful to say that someone (or something) is 7.28 year old.

## What is a categorical ordinal variable?

An ordinal variable is a categorical variable for which the possible values are ordered. Ordinal variables can be considered “in between” categorical and quantitative variables. Example: Educational level might be categorized as. 1: Elementary school education. 2: High school graduate.

## What are the two types of data?

There are two general types of data – quantitative and qualitative and both are equally important.

## Is gender a categorical variable?

For example, gender is a categorical data because it can be categorized into male and female according to some unique qualities possessed by each gender.

## What is categorical data used for?

Categorical (or discrete) variables are used to organize observations into groups that share a common trait. The trait may be nominal (e.g., sex or eye color) or ordinal (e.g., age group), and, in general, the number of groups within a variable is 20 or fewer (Imrey & Koch, 2005).