Excel Scatter Plot Chart

Scatter Plot Chart in Excel ( Table of Contents )

• Scatter Plot Chart in Excel
• How to Make Scatter Plot Chart in Excel?

Scatter Plot Chart in Excel

Scatter Plot chart is also called as XY graph. When we looking two sets of numbers we do not just see two numbers rather we try to correlate with each other find the relationship between two sets of numbers.

In excel we have an inbuilt chart called Scatter Plot (XY graph, scatter diagram), which shows the relationship between two sets of variables.

In this chart, both horizontal and vertical axes include numerical values. If you are aware of the LINE graph this chart looks exactly the same when we include a line to connect each other. However, both the charts represent the data differently.

An X-Y scatter plot is the best graph to show the ideal relationship between the two variables.

Choosing the right kind of graph will make the job easier for you to tell the story. Using scatter or X-Y chart will tell the story of two variable data sets.

Where to find the Scatter Plot Chart in Excel?

Scatter Plot Chart in excel is available under chart section.

Go to Insert > Chart > Scatter Chart

How to Make Scatter Plot Chart in Excel?

Scatter Plot Chart is very simple to use. Let us now see how to make Scatter Plot Chart in Excel with the help of some examples.

Excel Scatter Plot Chart – Example #1

In this example, I am using one of the survey data. This survey is all about excel knowledge score out of 10 and the salary range for each excel score.

By using the X-Y chart we can identify the relationship between two variables.

Step 1: Select the data.

Step 2: Go to Insert > Charts > Scatter Chart > Click on the first chart.

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Step 3: It will insert the chart for you.

Step 4: Select the bubble. It will show you the below options and press Ctrl + 1 (this is the shortcut key to formatting). On the right-hand side, an option box will open in excel 2013 & 2016. In Excel 2010 and earlier versions, a separate box will open.

Step 5: Click on Marker Fill option and select Vary Colours by Point.

It will add different colors to each marker.

Step 6: Go to Marker Options > Select Built-in > Change Size = 25.

Step 7: Now each marker looks bigger and looks a different color.

Step 8: Select Legend and press delete option

It will be deleted from the chart.

Step 9: Once you click on that chart it will show all the options.

Select Axis Titles and enter axis titles manually.

The axis titles will be added

Step 10:  Similarly Select The Chart title and enter chart title manually.

Interpretation of the Data

Now each marker represents the salary range against excel skill score. The relationship between these two variables is “as the excel skill score increases the salary range is also increases”.

Salary Range is a dependent variable here. Salary range is increased only if the excel skill score increases.

Excel Scatter Plot Chart – Example #2

In this example, I am going to use the agriculture data for showing the relationship between the Rainfall data and crops purchased by farmers.

We need to show the relationship between these two variables using X-Y scatter chart.

Step 1: Select the data.

Step 2: Go to Insert > Chart > Scatter Chart > Click on the first chart.

Step 3: This will create the scatter diagram.

Step 4: Add the axis titles, increase the size of the bubble and Change the chart title as we have discussed in the above example.

Step 5: We can add a trend line to it. Select the chart > Layout > Select trendline option > Select linear trendline.

The Trendline will be added

Step 6: This chart is representing the LINEAR EQUATION. We show this equation. Select the trend line, and right click select the option Format trendline

It will open the box next to the chart. Select Trendline option under that Select “Display Equation on Chart” option

LINEAR EQUATION will be added and a final chart will look like this.

Interpretation of the Chart

• We have created the chart and it is telling the relationship between Rainfall and Crops purchased by farmers.
• The highest crops purchased is when the rainfall is above 40 cm and below 60 cm. In this rainfall range, farmers purchased 120 kilos of crops.
• However, as the rainfall increase beyond 62 cm, the crop purchased by farmers is going down and down. At 100 cm rainfall, the crops purchased is declined to 12 kilos.
• At the same time even if the rainfall is not that great crops sale is very less.
• It is very clear that crop sales are completely dependent on rainfall.
• Rainfall should be in between 40 to 60 cm to expect a good amount of crop sales.
• If the rainfall is out of that range then the crop sale decreases considerably.
• As a crop seller, it is very important to assess the rainfall percentage and invest accordingly. Otherwise, you have to deal with the stock of crops for a long time.
• If you are analyzing the rainfall carefully you can increase the prices of the crops if the rainfall is ranging between 40 to 60 cm. Because in this range of rainfall farmers are very much interested in buying crops and does not matter about the price level.

Things to Remember About Scatter Plot Chart in Excel

• You need to arrange your data to apply to a scatter plot chart in Excel.
• First, find if there is any relationship between two variable data sets otherwise there is no point in creating a scatter diagram.
• Always mention Axis Title to make the chart readable. Because as a viewer it is very difficult to understand the chart without Axis Titles.
• Axis Titles is nothing but Horizontal Axis (X-Axis) and Vertical Axis (Y-Axis)

You can download this Scatter Plot Chart Excel Template here – Scatter Plot Chart Excel Template

Recommended Articles

This has been a guide to Excel Scatter Plot Chart. Here we discuss how to create Scatter Plot Chart in Excel along with practical examples and downloadable excel template. You can also go through our other suggested articles –

1. Concepts About Charts and Graphs
2. Guide To VBA Charts and Macro Recorder
3. Graph and Chart Formats
4. Creating Pivot Chart in Excel 2016