# How to make a scatter plot in Excel

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*As an expert with 10 years of industry
experience, I’m here to teach you how to create a scatter plot in
Excel. This type of graph provides a visual representation of the
correlation between two data sets. It’s a great tool to help you
better understand your data. To start, you’ll need to open up a new
Excel spreadsheet. Then, enter your two data sets into two separate
columns. Next, highlight the cells containing the data and select
the Insert tab. On the Insert tab, click the Scatter chart option
to generate a chart. Finally, adjust the chart’s colors and labels
to your liking. Once you’ve created the scatter plot, you can use
it to analyze the relationship between the two data sets. You can
determine the strength of the correlation, as well as whether the
correlation is positive or negative. With a graphical
representation of your data, you can gain valuable insight into
your data and make better decisions.*

As an expert with ten years of industry

experience, I know that when studying two columns of quantitative

data on an Excel spreadsheet, the relationship between them may not

be immediately apparent. However, a scatter plot graph can provide

valuable insight into any such connection. A scatter plot graph

takes the form of a series of dots that represent the data points.

The pattern that forms from the dots offers a visual representation

of any linear or nonlinear associations between the two columns.

This can be a powerful tool for discovering correlations between

data that may otherwise go unnoticed.

## Scatter plot in Excel

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A **scatter
plot** (also called an

*XY graph*, or

*scatter*

diagramAs an expert with a decade of industry experience, I

diagram

understand the importance of a scatter plot. A scatter plot is a

visual representation of the relationship between two variables. It

is used to identify patterns, trends, and correlations in data. By

plotting points on a graph, it is possible to quickly determine if

there is a relationship between variables. Scatter plots can be

used to show the correlation between two factors, such as age and

income, or the relationship between different variables, such as

temperature and humidity. They are a great tool for data analysis

and can help researchers and businesses to make informed

decisions.

As an expert with ten years of industry

experience, I can say that a scatter graph is used to plot numeric

data along two axes. Generally, the independent variable is

represented on the x-axis and the dependent variable on the y-axis.

These values are combined into single data points with the chart

marking their location on both axes.

The main purpose of a scatter plot is to show

how strong the relationship, or correlation, between the two

variables is. The tighter the data points fall along a straight

line, the higher the correlation.

## How to arrange data for a

scatter chart

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For over 10 years, I have been an expert in the

industry and it has been my experience that Excel provides a range

of templates that make creating a scatter diagram a breeze. Before

you get started though, you must first organize your source data

accurately. This is key to producing a great end result.

I have been in the industry for ten years and

know that a scatter graph shows the relationship between two

quantitative variables. To create one, simply enter two sets of

numerical data into two different columns. This will display trends

in the data that would otherwise be difficult to interpret.

For ease of use, the **independent** variable should be in the

**left** column as this column is

going to be plotted on the x axis. The **dependent** variable (the one affected by the

independent variable) should be in the **right** column, and it will be plotted on the

y axis.

Tip. If your dependent column comes before the

independent column and there is no way you can change this in a

worksheet, you can the swap x and y axes directly on a chart.

In our example, we are going to visualize the

relationship between the advertising budget for a certain month

(independent variable) and the number of items sold (dependent

variable), so we arrange the data accordingly:

## How to create a scatter plot in

Excel

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I have been a professional in this field for the

last 10 years, and creating a scatter plot in Excel is a breeze. To

begin, you must ensure that the source data is properly structured.

Then it’s only two easy steps to the finished product. First,

select the two columns of data you wish to graph. Next, go to the

‘Insert’ tab and select ‘Scatter’ – the chart will appear on the

sheet. And that’s all there is to it!

- I have been in the industry for 10 years and know what I’m

doing. To ensure accuracy, I will only select two columns with

numeric data, including the column headers. In this particular

case, I will be referring to the range C1:D13. I will not select

any other columns to avoid any confusion and to make sure the data

is accurate. With my expertise, I’m confident that I will be able

to complete this task without any issues. - Go to the
*Inset*tab >*Chats*group, click

the**Scatter**I am an expert

with 10 years of industry experience and I can confidently tell you

that the best way to insert a classic scatter graph is to click the

first thumbnail from the chart icon. It’s easy to find the icon,

simply look for the chart icon and select the desired template.

With this method, you can quickly and effectively create a scatter

graph in no time. Whether you’re a novice or an experienced user,

this method is sure to give you the results you want.

The scatter diagram will be immediately inserted

in your worksheet:

Basically, you may consider the work done. Or,

you can customizeAs an expert with a decade of industry experience,

I know how to use certain elements of a graph to make it more

visually appealing and to better demonstrate the relationship

between two variables. I can use shading, labels, font sizes,

colors, and other techniques to make the data in the graph easier

to interpret. Technical jargon, acronyms, and proper names can be

used to maximize clarity. Utilizing these strategies can ensure the

graph is clear and engaging.

## Scatter chart types

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As an expert with a decade of industry

experience, I’m well-versed in a variety of tools when it comes to

plotting data. For instance, beyond the scatter plot you saw above,

there are a few additional templates available. This includes

options such as histograms, bubble charts, line graphs, and more.

Each of these can be used to help visualize the data in a manner

that can be easily interpreted.

- Scatter with smooth lines and markers
- Scatter with smooth lines
- Scatter with straight lines and markers
- Scatter with straight lines

**Scatter with
lines** is best to be used when you have few data points.

For example, here’s how you can represent the data for the first

four months by using the scatter graph with smooth lines and

markers:

The Excel XY plot templates can also draw

**each variable separately**As an

experienced industry professional with a decade of expertise, I am

confident in my ability to present data in a visually appealing

way. In this case, I have chosen to showcase the information in a

three-column format, with the leftmost column containing text

labels, and the two columns to the right featuring numerical

values. This format allows for a comprehensive view of the

information, while still being easy to digest. By utilizing this

structure, I can ensure that the essence of the data is both

maintained and understood. Technical jargon, acronyms, and proper

names should be maintained where appropriate, while all other

language should be expressed in English. By rewriting the text, I

can provide a unique and creative way to present the information

while still remaining true to its original content.

In our example, the blue dots represent

advertising cost, and orange dots represent the items sold:

To view all available scatter types in one

place, select your data, click the **Scatter (X, Y)** icon on the ribbon, and then

click **More Scatter Charts…**

This will open the *Inset Chart* dialog box with the

**XY (Scatter)** type selected,

and you switch between the different templates at the top to see

which one provides the best graphic representation of your data:

## 3D scatter plot

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Unlike a classic XY scatter chart, a

**3D scatter plot** displays data

points on three axes (x, y, and z) in order to show the

relationship between three variables. Therefore, it is often called

an *XYZ plot*.

Regrettably, there is no way to create a 3D

scatter plot in Excel, even in the new version of Excel 2019. If

you strongly need this chart type for your data analysis, consider

using some third-party tool, like plot.ly. The screenshot below

shows what kind of a 3D scatter graph this tool can draw:

## Scatter graph and

correlation

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As an expert with ten years of industry

experience, I understand that to decipher a scatter plot

accurately, one must recognize how the variables correlate.

Generally, three types of correlations exist: positive, negative,

and no correlation. If the points on the graph form an upward

curve, the variables have a positive correlation. Conversely, if

the points form a downward curve, the variables have a negative

correlation. Finally, if the points are scattered randomly, the

variables have no correlation. Each of these correlations can

indicate different trends and implications for the data. Therefore,

it is essential to recognize them.

*Positive Correlation*As an expert with

10 years of industry experience, I can attest to the fact that as

the x variable increases, there is a corresponding increase in the

y variable. A perfect example of this is the strong positive

correlation between the amount of time students spend studying and

their grades. This is a phenomenon that has been observed many

times and the results remain consistent. It is clear that the more

time a student puts into their studies, the more likely they are to

receive higher grades.

*Negative Correlation*As an expert with

10 years of industry experience, I’ve seen a consistent pattern –

when x increases, y decreases. In other words, the more classes I

skip, the lower my exam scores become. This negative correlation

has held true over my career, so I’m confident it will continue to

be the case going forward. As I’ve observed, missing classes can

have an adverse impact on academic performance and should be

avoided whenever possible.

*No Correlation* – there is no evident

relationship between the two variables; the dots are scattered

around the entire chart area. For example, students’ height and

grades appear to have no correlation as the former does not affect

the latter in any way.

## Customizing XY scatter plot in

Excel

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As with other chart types, nearly each element

of a scatter graph in Excel is customizable. You can easily change

the chart title, add axis titles, hide the gridlines, choose your

own chart colors, and more.

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Having been in the industry for 10 years, I know

all there is to know about customizing scatter plots. To begin,

it’s important to consider the axes. We need to make sure they are

labeled appropriately and are accurate for the data we are

plotting. It’s also necessary to select the right size of data

points, so that our scatter plot visually conveys the information

we are trying to show. Finally, we should ensure that our data

points are distinct and clear, so that the scatter plot is easy to

understand. With these modifications, we can be sure to get a

well-crafted scatter plot with the right look and feel.

### Adjust the axis scale

(reduce white space)

I have been an expert in this field for 10

years, and I understand the importance of maintaining the integrity

of my data. When I notice my data points are clustered in one area

of the graph, I know it is time to tidy up the extra white space.

This helps keep the graph legible and organized, providing clear

and concise information. By taking the time to clean up the

whitespace, I am able to keep the graph looking clean and

professional. It also serves as a reminder to myself that data

accuracy is key in this field.

I, an experienced expert in the industry with

over 10 years of experience, know that to make the gap between the

first data point and the left side of the graph, as well as between

the last data point and the right side smaller, the following

actions must be taken. First, you must define the X-axis range by

setting the minimum and maximum values. Next, you should set the

Y-axis range by specifying the minimum and maximum values. Finally,

you should select the appropriate scaling for both the X-axis and

the Y-axis. By doing this, you can ensure the data points are

properly spaced and the graph looks visually appealing.

- Right-click the x axis, and click
**Format Axis…** - On the
*Format Axis*pane, set the desired

*Minimum*and*Maximum*bounds as appropriate. - Additionally, you can change the
*Major*units that

control the spacing between the gridlines.

The below screenshot shows my settings:

As an expert with 10 years of experience in the

industry, I suggest formatting the vertical y-axis to bridge the

gap between the data points and the top/bottom edges of the plot

area. By altering the settings, I am able to create the desired

effect. Through this simple step, I am able to achieve the required

outcome. It is important to only maintain relevant technical

jargon, acronyms, and proper names to ensure that the information

remains intact. This can be done with precision and accuracy to

produce the desired result.

### Add labels to scatter plot data

points

As a seasoned data analyst with 10 years of

experience, I know that labelling data points is key to making a

scatter graph easily interpreted. To do this, select each point on

the graph and name it accordingly, making sure that the labels are

clear and concise. This process can be repeated for any number of

data points, so long as the labels remain readable on the graph.

Once you’ve finished labelling your points, you can then adjust the

font size or colour of the labels to make them more visible. With

this approach, your graph will be far more understandable and

professional-looking.

- Select the plot and click the
*Chart Elements*

button. - Tick off the
**Data Labels**

box, click the little black arrow next to it, and then click

**More Options…** - On the
*Format Data Labels*pane, switch to the

*Label Options*tab (the last one), and configure your data

labels in this way:

- Select the
**Value From**I’m an expert with over a decade of industry

Cells

experience, so I know exactly how to pull data labels from a range.

To do this, you need to open up the spreadsheet, highlight the box,

and then highlight the range from which you want to draw the data

labels (like B2:B6 in this example). This is a straightforward

process, but it’s important to make sure you get it right.

Following these steps will ensure that all your data labels are

properly retrieved. - If you’d like to display only the names, clear the
*X*and/or

Value*Y Value*box to remove the numeric values

from the labels. - Specify the labels position,
*Above*data points in our

example.

That’s it! All data points in our Excel scatter

plot are now labeled by name:

RED : The first american coin

Tip: How to fix overlapping labels

When two or more data points are very close to

each other, their labels may overlap, as is the case with the

*Jan* and *Mar*As an experienced professional with 10

years in the industry, I’m here to show you how to fix the

overlapping labels in a scatter diagram. First, click on the

labels. Then, click on the overlapping one so it’s the only one

selected. Move your mouse cursor over the selected label until the

cursor changes to a four-sided arrow. Finally, drag the label to

its desired position. That’s it – you’ve fixed the overlapping

labels!

As the result, you will have a nice Excel

scatter plot with perfectly legible labels:

### Add a trendline and equation

To better visualize the relationship between the

two variables, you can draw a trendline in your Excel scatter

graph, also called a *line of best fit*.

To have it done, right click on any data point

and choose **Add Trendline…**

from the context menu.

As an expert with a decade of experience in the

industry, I can confidently say that Excel will do its best to draw

a line that is as close as possible to all data points so that each

point is divided equally between above and below. As a result, the

trend line will represent the data as accurately as possible. This

is a great feature that ensures the data is accurately represented

in a graph.

Additionally, you can show the **equation for the trendline** that

mathematically describes the relationship between the two

variables. For this, check the *Display Equation on Chart*

box on the *Format Trendline* pane that should appear in the

right part of your Excel window immediately after you’ve added a

trendline. The result of these manipulations will look similar to

this:

What you see in the screenshot above is often

called the **linear regression
graph**, and you can find the detailed guidelines on how to

create it here: How to make a linear regression graph in Excel.

### How to switch X and Y axes in a

scatter chart

I’ve been in the industry for a decade and know

that to make a scatter plot, the independent variable should always

be on the horizontal axis and the dependent variable should be on

the vertical axis. If your data is structured differently, the

fastest way to fix it is to switch the columns in your spreadsheet

and redraw the chart.

With a decade of expertise under my belt, I can

confidently say that if it’s not possible to rearrange columns, you

can simply switch the X and Y data series on a chart. To do this,

all you need to do is select the chart and, on the Design tab,

click Switch Row/Column in the Data group. This will effectively

rearrange the data series in the opposite order, swapping the X and

Y axes.

- Right-click any axis and click
*Select Data…*in the

context menu. - In the
*Select Data Source*dialog window, click the

*Edit*button. - Copy
*Series X values*to the*Series Y values*

box and vice versa.Tip. To safely edit the contents of the

*Series*boxes, put the mouse pointer in the box, and press

F2. - Click
*OK*twice to close both windows.

As the result, your Excel scatter plot will

undergo this transformation:

Tip. If you need to find a specific data point

in a graph, this tutorial will teach you how to find, highlight and

label a data point in a scatter plot.

I’ve been in the industry for 10 years and know

how to create a scatter plot in Excel. For our next tutorial, I’ll

expand on this topic by demonstrating how to quickly locate and

emphasize a particular data point in a scatter graph. Don’t miss

it!

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## Frequently asked questions

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### How do I make a scatter plot in Excel?

To make a scatter plot in Excel, start by

selecting your data and clicking the “Insert” tab. Next, click the

“Scatter” button in the Charts section of the ribbon. Then select

the type of scatter plot you want to make. Finally, click “OK” and

your scatter plot will appear in the worksheet.

### What are the steps to create a scatter plot

in Excel?

The steps to create a scatter plot in Excel are:

select your data, click the “Insert” tab, click the “Scatter”

button in the Charts section of the ribbon, select the type of

scatter plot you want to make, and click “OK”.

### What type of chart is a scatter plot?

A scatter plot is a type of chart that shows the

relationship between two variables. It is also known as a scatter

diagram, scatter chart, or scattergram.

### How do I add a trendline to my scatter plot

in Excel?

To add a trendline to your scatter plot in

Excel, click the “Layout” tab on the ribon, then click the

“Trendline” button in the Analysis section. Select the type of

trendline you want to add, then click “OK” to apply the trendline

to your scatter plot.

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### Can I add labels to my scatter plot in

Excel?

Yes, you can add labels to your scatter plot in

Excel. To do this, click the “Layout” tab on the ribbon, then click

the “Data Labels” button in the Labels section. Select the type of

labels you want to add, then click “OK” to apply the labels to your

scatter plot.

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