# Question: What Are The 2 Different Types Of Data?

## What data type is age?

Mondal[1] suggests that age can be viewed as a discrete variable because it is commonly expressed as an integer in units of years with no decimal to indicate days and presumably, hours, minutes, and seconds..

## What kind of data is money?

The money data type is an abstract data type. Money values are stored significant to two decimal places. These values are rounded to their amounts in dollars and cents or other currency units on input and output, and arithmetic operations on the money data type retain two-decimal-place precision.

## What are 2 examples of quantitative data?

There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.

## What data type is title?

Data structureField nameData typeSize in bytesFilm IDInteger2TitleText20CertificateInteger2GenreText20

## What is variable and its type?

Common Types of Variables. Categorical variable: variables than can be put into categories. … Dependent variable: the outcome of an experiment. As you change the independent variable, you watch what happens to the dependent variable. Discrete variable: a variable that can only take on a certain number of values.

## What is Data example?

An example of data is information collected for a research paper. An example of data is an email. Statistics or other information represented in a form suitable for processing by computer. Facts that can be analyzed or used in an effort to gain knowledge or make decisions; information.

## What does good data look like?

There are data quality characteristics of which you should be aware. There are five traits that you’ll find within data quality: accuracy, completeness, reliability, relevance, and timeliness – read on to learn more.

## What are the 4 types of data?

4 Types of Data in Statistics – Nominal, Ordinal, Interval, Ratio.

## What are the 4 types of scales?

Introduction: There are 4 types of scales, based on the extent to which scale values have the arithmetic properties of true numbers. The arithmetic proper- ties are order, equal intervals, and a true zero point. From the least to the most mathematical, the scale types are nominal, ordinal, interval, and ratio.

## What data type is salary?

Numeric data types are normally used to store data like price, salary etc. Allows you to store a value 1, 0, or NULL . Stores integer values in the range from 0 to 255. Stores integer values in the range from -32,768 to 32,767.

## How many data types are there?

The eight primitive data types are: byte, short, int, long, float, double, boolean, and char.

## What are the 5 types of data?

Common data types include:Integer.Floating-point number.Character.String.Boolean.

## What are the 3 types of data?

Introduction to Data Types. … Categorical Data. … Nominal Data. … Ordinal Data. … Discrete Data. … Continuous Data. … Why Data Types are important? … Nominal Data.More items…

## What are the two basic types of variable?

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause, while a dependent variable is the effect.

## Is age qualitative or quantitative?

Examples of quantitative characteristics are age, BMI, creatinine, and time from birth to death. Examples of qualitative characteristics are gender, race, genotype and vital status. Qualitative variables are also called categorical variables.

## How many type of data do we have?

twoThere are two general types of data: analog and digital. Nature is analog, while a computer is digital. All digital data are stored as binary digits. One of the most common data types is text, also referred to as character strings.

## What is data type and types?

A data type is a type of data. … Some common data types include integers, floating point numbers, characters, strings, and arrays. They may also be more specific types, such as dates, timestamps, boolean values, and varchar (variable character) formats.

## What is data in statistics?

data are individual pieces of factual information recorded and used for the purpose of analysis. It is the raw information from which statistics are created. Statistics are the results of data analysis – its interpretation and presentation. … Often these types of statistics are referred to as ‘statistical data’.