Some variables, such as social security numbers and zip codes, take numerical values, but are **not quantitative**: They are qualitative or categorical variables. The sum of two zip codes or social security numbers is not meaningful. The average of a list of zip codes is not meaningful.

Contents

- 1 What type of variable is zipcode?
- 2 Is ZIP code continuous or discrete?
- 3 Is distance categorical or quantitative?
- 4 How do you know if data is quantitative or categorical?
- 5 Is a zip code quantitative?
- 6 Is distance qualitative or quantitative?
- 7 What is quantitative or qualitative?
- 8 Is area discrete or continuous?
- 9 Is area code nominal or ordinal?
- 10 Is location a categorical variable?
- 11 Is distance of commute to work categorical or quantitative?
- 12 What distance is used for categorical variables?
- 13 What are some examples of categorical data?
- 14 What is the example of quantitative?
- 15 What is example of quantitative variable?

## What type of variable is zipcode?

Nominal variables are also called categorical variables or factors. Nominal variables may be represented by numbers. If so, these numbers are used merely as labels and are not subjected to arithmetic operations. “Zip Code” is a nominal variable whose values are represented by numbers.

## Is ZIP code continuous or discrete?

continuous Discrete Attribute Has only a finite or countably infinite set of values Examples from text: zip codes, counts, or the set of words in a collection of documents, binary data.

## Is distance categorical or quantitative?

Distance in miles is a quantitative variable because it takes on numerical values with meaningful magnitudes and equal intervals.

## How do you know if data is quantitative or categorical?

There are two types of variables: quantitative and categorical.

- Categorical variables take category or label values and place an individual into one of several groups.
- Quantitative variables take numerical values and represent some kind of measurement.

## Is a zip code quantitative?

Data are generally recorded values of variables. Some variables, such as social security numbers and zip codes, take numerical values, but are not quantitative: They are qualitative or categorical variables. The sum of two zip codes or social security numbers is not meaningful.

## Is distance qualitative or quantitative?

Some examples of quantitative data include distance, speed, height, length and weight. It’s easy to remember the difference between qualitative and quantitative data, as one refers to qualities, and the other refers to quantities. A bookshelf, for example, may have 100 books on its shelves and be 100 centimetres tall.

## What is quantitative or qualitative?

Quantitative data are measures of values or counts and are expressed as numbers. Quantitative data are data about numeric variables (e.g. how many; how much; or how often). Qualitative data are measures of ‘types’ and may be represented by a name, symbol, or a number code.

## Is area discrete or continuous?

It is a continuous value.

## Is area code nominal or ordinal?

These are usually assigned either in some hierarchical way, such as how telephone numbers are assigned (in NANPA) as Country Code + Area Code + Prefix + Suffix, where the first three are geographically based, or sequentially, as in serial numbers; these latter are thus properly ordinal numbers.

## Is location a categorical variable?

Example: Birth Location A survey asks “On which continent were you born?” This is a categorical variable because the different continents represent categories without a meaningful order of magnitudes.

## Is distance of commute to work categorical or quantitative?

Distance of commute to work is a quantitative variable. Its values are numerical. O B. Distance of commute to work is a quantitative variable.

## What distance is used for categorical variables?

a) preferably use Cosine distance if there are a large number of variables (.. say >8). Matching and Jaccard’s coefficient: Matching and Jaccard’s coefficients are close in derivations, used to measure when categorical variables are present in the data.

## What are some examples of categorical data?

Examples of categorical variables are race, sex, age group, and educational level. While the latter two variables may also be considered in a numerical manner by using exact values for age and highest grade completed, it is often more informative to categorize such variables into a relatively small number of groups.

## What is the example of quantitative?

Quantitative is an adjective that simply means something that can be measured. For example, we can count the number of sheep on a farm or measure the gallons of milk produced by a cow. In a world of abstract findings that can’t be quantified, such as anger or memories, it’s important to be able to measure what we can.

## What is example of quantitative variable?

Quantitative Variables. As discussed in the section on variables in Chapter 1, quantitative variables are variables measured on a numeric scale. Height, weight, response time, subjective rating of pain, temperature, and score on an exam are all examples of quantitative variables.