# Download Excel Data Samples for Pivot Tables, Charts, and Dashboards

## Download Excel File with Dummy Data

If you are working on a project that involves data analysis, you may need to use some dummy data to test your formulas, functions, charts, or reports. Dummy data is mock data generated at random as a substitute for live data in testing environments. In this article, you will learn what dummy data is, why it is useful, how to create it in Excel, and how to download it from a website.

## What is Dummy Data and Why Use It?

Dummy data is fake data that mimics the characteristics of real data. For example, if you want to test a sales report, you may need some dummy data that contains product names, prices, quantities, dates, and customer details. You can use dummy data to fill in the gaps in your real data, or to create a completely new data set for testing purposes.

## download excel file with dummy data

**Download File: **__https://www.google.com/url?q=https%3A%2F%2Ft.co%2FwTZ9jZ6Ysy&sa=D&sntz=1&usg=AOvVaw3-20Ajpg7JlK_zyXQy-CZy__

### Definition and Examples of Dummy Data

According to Analyst Answers, dummy data is mock data generated at random as a substitute for live data in testing environments. It acts as a placeholder for live data, which testers only introduce once they are sure that the trial program does not have any negative impact on the underlying data.

For example, suppose you have the following dataset and you want to use age and marital status to predict income:

NameAgeMarital StatusIncome

Alice25Single$40,000

Bob32Married$60,000

Charlie28Divorced$50,000

David35Single$70,000

Eve30Married$55,000

To use marital status as a predictor variable in a regression model, you need to convert it into a dummy variable. Since it is currently a categorical variable that can take on three different values (Single, Married, or Divorced), you need to create k-1 = 3-1 = 2 dummy variables. To create this dummy variable, you can let Single be your baseline value since it occurs most often. Heres how you would convert marital status into dummy variables:

NameAgeMarital StatusIncomeMarried (Dummy)Divorced (Dummy)

Alice25Single$40,00000

Bob32Married$60,00010

Charlie28Divorced$50,00001

David35Single$70,00000

Eve30Married$55,00010

Now you have two dummy variables that represent the marital status of each person. You can use these dummy variables in your regression model along with age to predict income.

### Benefits of Using Dummy Data for Testing

Using dummy data for testing has several advantages, such as:

It allows you to test your formulas, functions, charts, or reports without affecting the real data.

It helps you identify any errors or bugs in your code or logic before applying it to the real data.

It enables you to simulate different scenarios and outcomes by changing the values or characteristics of the dummy data.

It saves you time and resources by avoiding the need to collect or generate real data for testing purposes.

## How to Create Dummy Data in Excel

There are many ways to create dummy data in Excel, depending on the type and format of the data you need. Here are two common methods that you can use to create dummy data in Excel:

### Using RANDBETWEEN Function

The RANDBETWEEN function returns a random integer between two specified values. You can use this function to create dummy data for numerical variables, such as prices, quantities, scores, etc. For example, if you want to create a dummy data set of 10 products with random prices between $10 and $100, you can use the following formula:

=RANDBETWEEN(10,100)

This formula will generate a random number between 10 and 100 in each cell where you enter it. You can copy and paste this formula to create as many rows or columns as you need. Here is an example of a dummy data set created using this formula:

How to download excel file with dummy data for testing

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Product NamePrice

Product A$54

Product B$23

Product C$87

Product D$45

Product E$76

Product F$12

Product G$34

Product H$98

Product I$67

Product J$41

### Using VLOOKUP Function

The VLOOKUP function returns a value from a table based on a lookup value and a column index number. You can use this function to create dummy data for categorical variables, such as names, countries, colors, etc. For example, if you want to create a dummy data set of 10 customers with random names and countries, you can use the following steps:

Create a table with two columns: one for names and one for countries. You can use any source of names and countries that you like, such as online lists or databases. Here is an example of a table created using random names and countries from and :

NameCountry

Aaron SmithAustralia

Betty JonesBrazil

Charles LeeChina

Diana PerezMexico

Ethan BrownNew Zealand

Fiona TaylorCanada

Gregory WilsonGermany

Hannah MillerIndia

Ian ClarkJapan

Jennifer DavisUSA

Name this table as "Name_Country" by selecting the range of cells and typing the name in the Name Box on the left of the formula bar.

Create another table with two columns: one for customer ID and one for customer name. You can use any sequence of numbers for the customer ID, such as 1, 2, 3, etc. For the customer name, you can use the following formula:

=VLOOKUP(RANDBETWEEN(1,10),Name_Country,1,FALSE)

This formula will generate a random number between 1 and 10 and use it as a lookup value to find a matching name from the Name_Country table. The formula will return the name from the first column of the Name_Country table. You can copy and paste this formula to create as many rows as you need. Here is an example of a dummy data set created using this formula:

Customer IDCustomer Name

1Ethan Brown

2Betty Jones

3Aaron Smith

4Jennifer Davis

5Hannah Miller

6Diana Perez

7Ian Clark

8Fiona Taylor

9Charles Lee

10 Gregory Wilson

To create a dummy data set of 10 customers with random countries, you can use a similar formula, but change the column index number from 1 to 2. For example:

=VLOOKUP(RANDBETWEEN(1,10),Name_Country,2,FALSE)

This formula will return the country from the second column of the Name_Country table. Here is an example of a dummy data set created using this formula:

Customer IDCustomer Country

1 New Zealand

2 Brazil

3 Australia

4 USA

5 India

6 Mexico

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