**A Dataset** is a set or collection of data. This set is normally presented in a tabular pattern. Every column describes a particular variable. And each row corresponds to a given member of the data set, as per the given question. This is a part of data management. Data sets describe values for each variable for unknown quantities such as height, weight, temperature, volume, etc., of an object or values of random numbers. The values in this set are known as a **datum**. The data set consists of data of one or more members corresponding to each row. In this article, let us learn the definition of the dataset, different types of datasets, properties, and so on with many solved examples.

**Table of Contents:**

- Meaning
- Types
- Numerical Dataset
- Bivariate Dataset
- Multivariate Dataset
- Categorical Dataset
- Correlation Dataset

- Mean, Median, Mode and Range
- Properties
- Examples
- Practice Problems
- FAQs

## Dataset Meaning

A data set is an ordered collection of data. As we know, acollection of information obtained through observations, measurements, study, or analysis is referred to as data. It could include information such as facts, numbers, figures, names, or even basic descriptions of objects. For our study, data can be organized in the form of graphs, charts, or tables. Through data mining, data scientists assist in the analysis of gathered data.

A dataset is a set of numbers or values that pertain to a specific topic. A dataset is, for example, each student’s test scores in a certain class. Datasets can be written as a list of integers in a random order, a table, or with curly brackets around them. The data sets are normally labelled so you understand what the data represents, however, while dealing with data sets, you don’t always know what the data stands for, and you don’t necessarily need to realize what the data represents to accomplish the problem.

**Also, read:**

- Data Collection And Organization
- Important Questions of Class 8 Maths Chapter 5 Data Handling

## Types of Datasets

In Statistics, we have different types of data sets available for different types of information. They are:

- Numerical data sets
- Bivariate data sets
- Multivariate data sets
- Categorical data sets
- Correlation data sets

**Also, check out:** Types of Data in Statistics.

Let us discuss all these data sets with examples.

### Numerical Datasets

The numerical data set is a data set, where the data are expressed in numbers rather than natural language. The numerical data is sometimes called quantitative data. The set of all the quantitative data/numerical data is called the numerical data set. The numerical data is always in the numbers form, such that we can perform arithmetic operations on it.

- Weight and height of a person
- The count of RBC in a medical report
- Number of pages present in a book

### Bivariate Datasets

A data set that has two variables is called a Bivariate data set. It deals with the relationship between the two variables.Bivariate dataset usually contains two types of related data.

Example: To find the percentage score and age of the students in a class. Score and age can be considered as two variables

- The sales of ice cream versus the temperature on that day. Here the two variables used are ice cream and temperature.

(Note: In case, if you have one set of data alone say, temperature, then it is called the univariate dataset)

### Multivariate Datasets

A data set with multiple variables.When the dataset contains three or more than three data types (variables), then the data set is called a multivariate dataset. In other words, the multivariate dataset consists of individual measurements that are acquired as a function of three or more than three variables.

Example: If we have to measure the length, width, height, volume of a rectangular box, we have to use multiple variables to distinguish between those entities.

### Categorical Datasets

Categorical data sets represent features or characteristics of a person or an object.The categorical dataset consists of a categorical variable also called the qualitative variable, that can take exactly two values. Hence, it is termed as a dichotomous variable. Categorical data/variables with more than two possible values are called polytomous variables. The qualitative/categorical variables are often assumed to be polytomous variable unless otherwise specified.

Example:

- A person’s gender (male or female)
- Marital status (married/unmarried)

### Correlation Datasets

The set of values that demonstrate some relationship with each other indicates correlation data sets. Here the values are found to be dependent on each other.

Generally, correlation is defined as a statistical relationship between two entities/variables. In some scenarios, you might have to predict the correlation between the things. It is essential to understand how correlation works. The correlation is classified into three types. They are:

- Positive correlation – Two variables move in the same direction (Either both are up or both or down)
- Negative correlation – Two variables move in opposite directions. (One variable is up and another variable is down and vice versa)
- No or zero correlation – No relationship between two variables.

Example: A tall person is considered to be heavier than a short person. So here the weight and height variables are dependent on each other.

## Mean, Median, Mode and Range of Datasets

The mean, median and modealong with range are the major topics in Statistics. In other words, calculating the mean, median, and mode of data sets are the three methods for working with them. However, before we can compute these three measures of the dataset, we must first prepare our data set by rewriting it in ascending order from least to greatest.

**Mean of a dataset**is the average of all the observations present in the table. It is the ratio of the sum of observations to the total number of elements present in the data set. The formula of mean is given by;

**Mean = Sum of Observations / Total Number of Elements in Data Set**

**Median of a dataset** is the middle value of the collection of data when arranged in ascending order and descending order.

**Mode of a dataset** is the variable or number or value which is repeated maximum number of times in the set.

**Range of a dataset** is the difference between the maximum value and minimum value.

Range = Maximum Value – Minimum Value

## Properties of Dataset

Before performing any statistical analysis, it is essential to understand the nature of the data. We can use different Exploratory Data Analysis (EDA techniques), which helps to identify the properties of data, so that the appropriate statistical methods can be applied on the data. With the help of EDA techniques, we can check the following properties of the dataset.

- Centre of data
- Skewness of data
- Spread among the data members
- Presence of outliers
- Correlation among the data
- Type of probability distribution that the data follows

## Video Lesson on What are Sets

### Datasets Example

**Example 1:**

Find the mean, mode, median and range of the given data set.

{2, 4, 6, 8, 2, 10, 12}

**Solution:**

Given, {2, 4, 6, 8, 2, 10, 12} is a set of data.

Mean = 2+4+6+8+2+10+12/7 = 44/7

To find median we have to first arrange the given data in ascending or descending order

So, {2,2,4,6,8,10,12}. Thus,

Median = 6

Mode = 2

Range = 12-2 = 10

**Example 2:**

Find the mode for the given data set: 2, 3, 3, 4, 6, 7

**Solution**:

Given data set: 2, 3, 3, 4, 6, 7

We know that the mode is the frequently repeated value in the data set.

From the given data set, it is observed that the data “3” is repeated twice.

Hence, the mode for the given data set is 3.

### Practice Problems

Solve the following problems:

- Find the mean for the dataset: 5, 3, 1, 6, 8, 9.
- Find the median for the dataset: 6, 2, 4, 5, 7.
- Find the mode and range for the following dataset: 3, 9, 12, 23, 7, 16, 5.

**Also, read:**

- Presentation of Data
- Categorical Data
- Data Organization

## Frequently Asked Questions on Dataset

### What is meant by dataset?

The set or the collection of data is called a dataset. In other words, the dataset is the ordered collection of data.

### What are the different characteristics used to measure the dataset?

In statistics, the different characteristics used to measure the dataset are mean, median, mode, range, and so on.

### How to calculate the range of the given dataset?

The range of the given data set is the difference between the maximum and minimum value of the data set.

### What are the different types of datasets?

The different types of datasets are:

Numerical dataset

Bivariate dataset

Multivariate dataset

Categorical dataset

Correlation dataset

### What is the median of the dataset?

The median is the middle value of the dataset, in which the data are arranged in ascending order.

## FAQs

### What are the 3 types of data sets? ›

Finally, coming on the types of Data Sets, we define them into three categories namely, **Record Data, Graph-based Data, and Ordered Data**.

**What is dataset properties? ›**

Properties **define a dataset's content**. Each property has a type, is required or optional, and may allow or forbid null. A property can be designated as an index and can be mapped to Apperate's supported financial identifier types.

**What is dataset explain different types of datasets? ›**

There are two types of categorical data sets: **dichotomous and polytomous**. In a dichotomous data set, each variable can only have one of two values. For example, a data set containing answers to true and false questions is dichotomous because it only supplies one result or the other.

**What are the 5 common data types? ›**

Most modern computer languages recognize five basic categories of data types: **Integral, Floating Point, Character, Character String, and composite types**, with various specific subtypes defined within each broad category.

**What are the 4 common data types? ›**

4 Types of Data: **Nominal, Ordinal, Discrete, Continuous** | upGrad blog.

**What are the 7 types of data? ›**

**And there you have the 7 Data Types.**

- Useless.
- Nominal.
- Binary.
- Ordinal.
- Count.
- Time.
- Interval.

**What are the 6 basic data types? ›**

**The data types to know are:**

- String (or str or text). Used for a combination of any characters that appear on a keyboard, such as letters, numbers and symbols.
- Character (or char). Used for single letters.
- Integer (or int). Used for whole numbers.
- Float (or Real). ...
- Boolean (or bool).

**How many types of data are examples? ›**

Nominal Data | Ordinal Data |
---|---|

Examples: Eye color, housing style, gender, hair color, religion, marital status, ethnicity, etc | Examples: Economic status, customer satisfaction, education level, letter grades, etc |

**What are the five properties of data? ›**

There are five traits that you'll find within data quality: **accuracy, completeness, reliability, relevance, and timeliness** – read on to learn more. Is the information correct in every detail?

**What are the three properties of data? ›**

There are three defining properties that can help break down the term. Dubbed the three Vs; **volume, velocity, and variety**, these are key to understanding how we can measure big data and just how very different 'big data' is to old fashioned data.

### How do you find the properties of a set of data? ›

**Right-click the dataset or cube you want to view or edit and select Properties**. View the file properties for the dataset or cube.

**What are the 8 different data types? ›**

Primitive data types - includes **byte , short , int , long , float , double , boolean and char**.

**What are data types and its types? ›**

A data type is a classification of data which tells the compiler or interpreter how the programmer intends to use the data. Most programming languages support various types of data, including **integer, real, character or string, and Boolean**.

**What are the three main components of dataset? ›**

The dataset consists of three main parts: **(1) Metadata; (2) UI events; (3) Network traces**.

**How many main types of data are there? ›**

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

**What are 10 types of data? ›**

**10 data types**

- Integer. Integer data types often represent whole numbers in programming. ...
- Character. In coding, alphabet letters denote characters. ...
- Date. This data type stores a calendar date with other programming information. ...
- Floating point (real) ...
- Long. ...
- Short. ...
- String. ...
- Boolean.

**What is basic data types? ›**

The basic data types are also known as **fundamental or primary data types**. Basic data types are used in the C language for storing the available values in decimal as well as integer forms, and these provide support for both – unsigned and signed literals.

**What are the 3 most common data types? ›**

Most programming languages support basic data types of **integer numbers (of varying sizes), floating-point numbers (which approximate real numbers), characters and Booleans**.

**What are the types of data list? ›**

List is a **collection data type**. It allows multiple values to be stored within the same field.

**What are the four properties of data? ›**

clarity: the availability of a clear and shared definition for the data. consistency: the compatibility of the same type of data from different sources. content related properties timeliness: the availability of data at the time required and how up to date that data is. accuracy: how close to the truth the data is.

### What are the 5 key data structures? ›

**Linear data structures**

- Array Data Structure. In an array, elements in memory are arranged in continuous memory. ...
- Stack Data Structure. In stack data structure, elements are stored in the LIFO principle. ...
- Queue Data Structure. ...
- Linked List Data Structure.

**What are data types describe any 3 of them with example? ›**

Data Type | Used for | Example |
---|---|---|

String | Alphanumeric characters | hello world, Alice, Bob123 |

Integer | Whole numbers | 7, 12, 999 |

Float (floating point) | Number with a decimal point | 3.15, 9.06, 00.13 |

Character | Encoding text numerically | 97 (in ASCII, 97 is a lower case 'a') |

**What are the properties of set with example? ›**

In Mathematics, a set is defined as **a collection of well-defined objects**. For example, the set of natural numbers between 1 and 10, the set of even numbers less than 20. If we change the order of writing the elements in a set, it does not make any changes in the set.

**What are the three 3 kinds of data analysis? ›**

There are three types of analytics that businesses use to drive their decision making; descriptive analytics, which tell us what has already happened; predictive analytics, which show us what could happen, and finally, prescriptive analytics, which inform us what should happen in the future.

**What are the basic data types? ›**

**Basic Data Types**

- Integer. An integer number, from -2147483648 to 2147483647.
- Double or Real. A floating-point value, for instance, 3.14. ...
- String. Any textual data (a single character or an arbitrary string). ...
- Boolean. A value that is either True , or False . ...
- Date/Time. ...
- Object. ...
- Variant.