# Plots in Excel  ## What Do You Mean By Plots in Excel?

Plots in Excel are defined as the graphs to correlate the data presented in the two columns. Plots are nothing but the scatter diagram or scatter charts in Excel to correlate the data sets in two columns. These are two dimensional XY charts to present the relationship between the two variables and analyze the data in multiple views. It is easy to make the selection of the right scatter plot to perform data analysis.

### How to Make Plots in Excel? (with Examples)

You can download this Plots in Excel Template here – Plots in Excel Template

#### Example#1 – Simple Scatter Plot

To create the simple scatter plot, place the data into two columns, as shown in the screenshot.

Follow the steps to create a Scatter Plot in Excel:

1. Select the data, including the two columns, such as the advertising expenses and a number of items sold along with their column headers.

In this situation, the range of data in B1:C10. 2. Go to the insert tab and move to a scatter plot and place the cursor, as shown in the figure. 3. Choose the scatter plot to represent the relationship between the data sets. The scatter plot is developed, as shown in the below-mentioned figure.

We can change the format and design of the chart area using the design and format tab.

#### Example#2 – Scatter Plot with Smooth Lines and Markers

To create the simple scatter plot with lines and markers, place the data into two columns, as shown in the screenshot.

Step 1: Select the data, including the two columns, such as the advertising expenses and a number of items sold along with their column headers. In this situation, the range of data in B1:C10.

Step 2: Go to the insert tab and choose the scatter plot with markers and lines to represent the relationship between the data sets.

The scatter plot with lines and markers is shown in the below-mentioned figure.

#### Example#3 – Scatter Plot with Smooth Lines

To create the simple scatter plot with smooth lines, place the data into two columns

Select the data, including the two columns, such as the advertising expenses and a number of items sold along with their column headers. In this situation, the range of data in B1:C10.

Go to the insert tab and move to a scatter plot, and choose the scatter plot with lines to represent the relationship between the data sets.

The scatter plot is developed, as shown in the below-mentioned figure.

#### Example#4 – Scatter Plot with Straight Lines and Markers

To create the simple scatter plot with straight lines and markers, place the data into two columns, as shown in the screenshot.

Select the data, including the two columns, such as the advertising expenses and a number of items sold along with their column headers. In this situation, the range of data in B1:C10.

Go to the insert tab and move to a scatter plot, and choose the scatter plot to represent the relationship between the data sets.

The scatter plot is developed, as shown in the below-mentioned figure.

Change the chart type to scatter with straight lines, as shown in the figure.

The scatter with straight lines is developed, as shown in the below-mentioned figure.

#### Example#5 – Bubble Chart

To create the simple bubble plot, place the data into two columns, as shown in the screenshot.

Select the data, including the two columns, such as the advertising expenses and a number of items sold along with their column headers. In this situation, the range of data in B1:C10.

Go to the and move to the bubble plot and choose the bubble plot to represent the relationship between the data sets.

The bubble plot is developed, as shown in the below-mentioned figure.

Change the chart type to a 3D bubble plot, as shown in the figure.

The 3D bubble plot is developed, as shown in the below-mentioned figure.

### Applications

Scatter plots have different applications. These are used in

• Resolve a problem through data analysis
• between the independent and dependent variables.
• It is used as a quality tool in determining the causes of a problem.
• It is used for testing the autocorrelation in prior to building the control charts in quality analysis.
• It helps to show the non-linear pattern.
• A user can easily identify the minimum and maximum value in the range of data flow.
• Three kinds of relationships between variables, such as no relation, positive, and negative relationships, are analyzed effectively by using the scatter plot. It helps to understand how changes in one factor will affect another factor.

### Things to Remember

• It is hard to create the chart if the data of a variable is presented in a non-numeric format
• A small amount of data is useful in practicing performing of better data analysis with the scatter plot
• It needs to take care of while performing proper data analysis without any errors
• The user has to understand how to properly utilize and interpretation of data carefully
• Always add colors and change the format of the chart to enhance the visual appearance of users.

### Recommended Articles

This has been a guide to Plots in Excel. Here we learn how to make scatter plots by using a Scatter plot with smooth lines, a Scatter plot with straight lines and markers, and a Bubble chart along with examples and downloadable templates. You may learn more about excel from the following articles –

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