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How To Make A Scatter Plot In Excel

Key Takeaway:

  • Collect and prepare data for visualization: Before creating a scatter plot in Excel, ensure that the data is ready and properly organized for easy visualization.
  • Plot the data in a scatter chart: After preparing the data, choose the data to be plotted on the X and Y axis and select the scatter chart type from the Insert tab.
  • Format the scatter chart: Improve the visualization of the scatter plot by editing the chart title, customizing the X and Y axis labels, and adding a trendline for better data analysis.

Do you want to learn how to quickly and easily make a scatter plot in Excel? This article will provide you with simple, step-by-step instructions and tips to help you visualize your data and get the most out of your scatter plot.

How to Create a Scatter Plot in Excel – A Step by Step Guide

Do you work with data often? Then creating a scatter plot in Excel can be really useful. Here’s a guide to help you with the process. First, let’s look at the data you need and the way to organize it. After that, we’ll enter the data into Excel. These steps will help you make an accurate scatter plot that makes understanding your data simple and quick!

How to Create a Scatter Plot in Excel - A Step by Step Guide-How to Make a Scatter Plot in Excel,

Image credits: by Harry Duncun

Collecting and Preparing Data for Visualization


Clean your data. Get rid of duplicates, missing values and irrelevant points. Do it manually or use Excel’s Data Cleanup feature.

Organize the data into a format that can be visualized. Split cells, format text, use formulae if needed. Label each column with self-explanatory titles.

Choose an appropriate chart type for your collected and cleaned data. Scatter plots are good for similar datasets across groups.

Forbes’ Christina Wood says, “Bad or duplicate data could cause problems.” Clean and prepare data before creating visualizations.

Time to plot your Excel scatter plot! Collect and clean your dataset first.

Entering Data into an Excel Spreadsheet for Plotting

Label Column A with a descriptive name for the X-axis variable. Label Column B with a descriptive name for the Y-axis variable. Enter your data points into each column, in order.

Add columns for additional variables related to each data point. Create a header row and format all cells. Save the data file.

Double-check entries and verify accuracy. Use consistent units of measure throughout the dataset. Organize information using tables within Excel. Now you’re ready to plot the data in a scatter chart.

Plotting the Data in a Scatter Chart

Focus: Scatter chart plot in Excel

There are two big steps to create a scatter chart plot in Excel. Each of these steps has sub-steps as outlined below:

  1. Choose and format data for X and Y-axes:
    1. Select the data you want to plot on the X-axis and Y-axis. Ensure that the data tells a relevant story and can be presented well.
  2. Create a scatter chart:
    1. Click on the Insert tab in Excel.
    2. Select Chart Type and choose Scatter Chart.
    3. Customize the chart as needed to create the perfect scatter chart plot in Excel.

Plotting the Data in a Scatter Chart-How to Make a Scatter Plot in Excel,

Image credits: by Yuval Washington

Selecting Data to be Plotted on X and Y Axis

Plotting data on a scatter chart? Let’s get started! Select the data you want to plot on both the X and Y axis of the chart. Here’s how to do it in Excel:

  1. Open worksheet and highlight relevant cells.
  2. Right-click one of them. Select “Insert Scatter or Bubble Chart” from the dropdown. Alternatively, click the “Insert” tab and select “Scatter” from the Chart group.
  3. Choose desired scatter chart type (e.g., “Scatter with Smooth Lines and Markers”). Click the icon in the charts ribbon.

Selection of X and Y axis is important. X-axis usually represents time or a continuous variable. Y-axis is used to represent dependent variables. It’s crucial to choose the right variables. Excel provides options for displaying multiple sets of data in different colors and symbols.

Pro Tip: Fill any gaps in the dataset with zero values. This will ensure no missing points on your scatter plot graph.

Insert Tab and choose Scatter Chart Type naturally. That’s it!

Clicking on the Insert Tab and Choosing the Scatter Chart Type

Open the Excel sheet. Select the top menu bar’s Insert tab. A list of options will appear. Choose “Scatter” which represents the scatter chart type.

Excel will show a list of sub-types. Pick one, e.g. dots, lines, stacked area charts or 3D scatter plots.

Also choose whether to add data labels, gridlines and other formatting options. Access these from the Design and Format tabs.

A pro tip: Easily switch between different sub-types to see different views of your data, without losing any settings.

Formatting the Scatter Chart is important. Do so to highlight trends and patterns that might not be obvious with the raw data.

Formatting Scatter Chart

Working with data in Excel? Essential to have clear charts! In this tutorial, we’ll focus on formatting scatter charts for a powerful data visualization. Customize the chart title, X and Y axis labels to make the scatter plot clearer. Plus, add trendlines to identify patterns in the data. After this section, you’ll have an impressive scatter chart that communicates effectively.

Formatting Scatter Chart-How to Make a Scatter Plot in Excel,

Image credits: by Yuval Duncun

Editing the Chart Title for Better Visualization

Editing the chart title is a great way to make your scatter chart more presentable and understandable. Here’s how:

  1. Select it.
  2. Press “Ctrl + 1” or right-click and select “Format Chart.”
  3. Choose font, color, size, and alignment.
  4. Adjust the text box’s fill and border.
  5. Add effects such as shadow and reflection.
  6. Click “Close” when finished.

The chart title can give viewers an idea of what to expect from the data. It also helps distinguish between two similar charts. Fun fact: Scatter plots were first used by Francis Galton in 1877 for human fingerprints’ patterns.

Next, we’ll cover customizing X and Y axis labels for an accurate scatter plot.

Customizing X and Y Axis Labels

Click on the axis label you want to customize to activate the Format Axis pane.

You can customize the text format, font size, and color in the Format Axis pane.

Click outside the pane after making changes to the X and Y axes.

Customizing the X and Y axes is necessary to understand your data. It also makes your presentation visually attractive.

Infographics often make use of customized labels with colors to represent different trends.

I used customized labels when I was working on a college project about car accidents. It helped me create visual clarity. My professor found it insightful.

Adding Trendline for better data analysis is a must when reviewing scatter charts’ performance. It helps identify patterns in datasets.

Adding Trendline for Better Data Analysis

To gain insights, add a trendline to your scatter chart! Here’s a 5-step guide:

  1. Select the chart.
  2. Click the “+” sign in the chart’s corner.
  3. Click “Trendline” from the options menu.
  4. Choose the type of trendline that fits your data.
  5. Customize the trendline by adjusting parameters.

Adding a trendline can make patterns easier to see. It gives info on trends, averages, and correlation. For example, use it to identify pricing cycles or trends over time. It can save effort that would be needed if tracking trends with raw data.

My friend used it when analyzing sales figures. He found he could see sales patterns, predict sales figures, and monitor performance.

Also, there are other advanced customizations for scatter plots. We’ll discuss them in the next section.

Advanced Customizations to Improve Scatter Plotting

Scatter plotting is a must for showing data in an understandable way. Basic scatter plots aren’t always enough for complex data though. Here are some advanced customizations to make scatter plotting in Excel better. I’ll teach you how to:

  1. Add a data table for easy understanding
  2. Add a legend to make the results simpler
  3. Customize the background image for improved visualization

These tricks will help you take your scatter plotting to the next level and step up your data analysis skills.

Advanced Customizations to Improve Scatter Plotting-How to Make a Scatter Plot in Excel,

Image credits: by Adam Duncun

Including a Data Table for Reference

Including a Data Table for Reference can be done with HTML tags. The table may include unique identifiers, x/y-axis values, etc. It’s vital to double-check facts.

This makes it easier to compare data swiftly. Plots with lots of points may need some context. For instance, plotting temperature by hour within one day. Showing scattered points, along with numerical details.

As an alternate way of displaying multiple datasets, color-coded markers can be used. Colors must be contrasting and eye-catching.

Legibility is also key when labeling axes and adding legends. Increase text size and use contrasting backgrounds.

Adding a Legend for Easy Data Interpretation brings clarity. Group similar symbols together through color and shape. Make data reading simpler and more effective.

Adding a Legend for Easy Data Interpretation

Click your chart to select it. The “Chart Elements” button appears next to your chart. Check the box next to “Legend” and adjust its look.

Adding a Legend helps you know which data is where. This is important when multiple people are looking at the same chart.

Excel lets you use different shapes and sizes for each data point. This can help show specific points of interest in the data set.

You can also customize the background image for better visualization. This takes your scatter plots to a higher level of visual appeal and understanding.

Customizing Background Image for Better Visualization

Choose an image that complements your data set. It should be subtle and not distract from the focus of the scatter plot. A blurred or low-contrast image works best. To adjust the transparency, select ‘Format Chart Area’ and then ‘Fill & Line’. Reduce the transparency until the points are clearly visible.

Be mindful of people with red-green colorblindness. Don’t use red and green colors in both the data set and background image. A suitable background can make visualization more engaging and provide context.

Format axis labels and adjust tick marks to suit the needs of the graphic representation.

Finally, save the scatter plot in Excel without compromising quality or information within the plot or figure.

How to Save Generated Scatter Plot in Excel

Wondering how to save your high-quality scatter plot in Excel?

Two methods to do this are discussed here:

  1. Save it as an image file. This allows you to share or upload it to a website.
  2. Save it as a template within Excel. This can save you time if you plan on making similar scatter plots in the future.

Let’s take a look at these two methods.

How to Save Generated Scatter Plot in Excel-How to Make a Scatter Plot in Excel,

Image credits: by Harry Woodhock

Saving the Scatter Plot as an Image

To save a scatter plot as an image, click on the chart once. Head to the ‘File’ tab in the ribbon. Choose ‘Save As’ from the dropdown menu. Select either PNG or JPEG in ‘Save as type.’ Finally, click ‘Save.’

Sharing the plot with others is made easy with this method. You can also use it in presentations or reports.

To make the scatter plot more unique and creative, use editing software such as Photoshop or GIMP. If you plan on printing, change the resolution before saving. High-resolution images will look better when printed.

VBA code can help you save more than one chart at a time, cutting down on workflow time. With these tips, you can save scatter plots as images for whatever purpose you need.

Saving the Scatter Plot as a Template for Future Use

To save a Scatter Plot chart as a template, take the following steps:

  1. Click on the chart and select “Save As Template” from its dropdown menu.
  2. A window will appear. Enter the template name and note the path where the file will be saved.
  3. Click on Save. Excel will then save the Scatter Plot as an SVG file that can be used within Excel.
  4. To use this chart design in another workbook, open a new excel sheet, insert a scatterplot, right-click on the empty chart space, click on “Change Chart Type,” under “Templates,” select “All Charts,” then choose “My Templates.” Find your saved file name and click on any preview given below it.

This way, you have created a template that can be reused with different sets of data.

Saving Scatterplots as templates makes it easier to create similar charts with variable relationship interactions at certain timescales. This way, when faced with similar data again, it is easy to retrieve the earlier created template and resave the file quickly without affecting the assigned research work.

Five Facts About How to Make a Scatter Plot in Excel:

  • ✅ A scatter plot is a type of chart used to display data points on a two-dimensional graph. (Source: Excel Easy)
  • ✅ To create a scatter plot in Excel, you need to have two sets of data that you want to plot. (Source: Data-Driven Consulting)
  • ✅ You can customize your scatter plot in Excel by changing the chart title, axis labels, and data point markers. (Source: Spreadsheeto)
  • ✅ A scatter plot can help you identify patterns and relationships between two variables. (Source: STATISTIC SHOWROOM)
  • ✅ Excel offers various tools such as trendlines and regression analysis to help you interpret your scatter plot and draw conclusions from your data. (Source: Excel Campus)

FAQs about How To Make A Scatter Plot In Excel

How to Make a Scatter Plot in Excel?

Making a scatter plot in Excel is easy. Follow these simple steps:

  1. Select the range of data that you want to use in your scatter plot.
  2. Click on the Insert tab and select the Scatter chart type that you want to use.
  3. Excel will create the scatter plot for you automatically.
  4. Customize your scatter plot by adding a title, axis labels, and other formatting options.
  5. Save your scatter plot to a file or print it out for later use.