Scatter Plot Maker

Turn your data in a beautiful scatter plot with a clear line of best fit, all in Piktochart. For free—no design experience needed.

free online editor to create scatter plot graph

How to create a scatter plot in 6 easy steps

Log in to Piktochart

Create or use our web sign-in to your Piktochart account

Pick a scatter graph template to create a scatter plot

Pick a graph template made by designers or start from scratch to utilize our own scatter plot generator maker

Open the chart maker

From the right hand sidebar, go to “Tools”, then open up our chart maker. Select Scatter Plot as your template.

Enter your data into the plot maker

Copy-paste your data points straight from Excel, CSV or link a Google sheet

Adjust plots to your liking

Adjust the input data labels, x-axis, y-axis, graph title label, background color, and more

Download or share your plots

Download your graph as a jpg, png, pdf file, or share online.

Benefits and features

Erstellung eines Diagramms, Beschriftung der y-Achse und der x-Achse für die Dateneingabe in das Streudiagramm, um ein Streudiagramm zu erstellen

Quick and easy data entry for each axis

Link up your Excel or Google Sheets file to easily create scatter plots that automatically update when your data label or value does.

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online editor with open tab to set colors for scatter plot graph


Adjust the colors of your graph to match your brand

Drag your logo or a website screenshot to extract your brand colors auto-magically. Your business brand color palette and uploaded fonts will permanently be accessible in the scatter plot maker and Piktochart editor.

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add chart types to any project in piktochart with our chart maker, edit chart title and design, import from a spreadsheet

Content creation

Add your scatter plot and graph to any format

With our online graph creator, you can easily generate reports, presentations, infographics (and more) in a range of unique formats. Include all types of data visualization, such as as scatter plots or bar charts. Piktochart is so simple that you can immediately begin using it to generate visuals without training.

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scatter plot template to reuse even when you change values, input, title, y values, x values, and correlation

Repurposing your scatterplot

Create a scatter plot template once to use again and again

Once you create a scatter plot featuring your brand’s logos and colors, you can save and neatly organize it. Use your template every time you need to create a new scatter plot or other types of charts in the future.

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monthly sales report showing horizontal data values over time period using lines, scatterplot example Monthly Sales Report (Landscape)
monthly email Monthly Email Report
marketing overview report, line graph template Marketing Overview Report
monthly marketing report template thumbnail showing value of visuals, vertical Monthly Marketing Report
airline industry showing data labels and lines on own line graph Airline industry
sales performance template showing data set in a graph Sales Performance


A scatter plot is a graph displaying two sets of numerical data (or two variables) as a collection of points. The position of each point is determined by its values on the two pairs of variables being plotted.

To make a scatter plot, you must first determine the two sets of numerical data you want to plot. Then, choose a scale for y values on each axis and plot each data point on the graph using the values on the corresponding x-axis and y-axis.
The horizontal axis of a scatter plot represents one variable (x values), while the vertical axis line represents the other variable (y values or y data). Typically, the independent variable is plotted on the x-axis line, and the dependent variable on the y-axis line.
Finally, add a chart title and labels for each value on each axis (y values and x values) to provide context and interpretation of the plotted input data.

Creating a scatter plot involves several best practices to ensure an effective visual representation of your data sets. Firstly, accurately plot your x and y data points to observe any relationships. A scatter plot can show a positive correlation where y data increases as x increases, or a negative correlation where y decreases as x increases.
When interpreting your scatter plot, look for patterns or clusters of data points. These can indicate a relationship or trend in your data. Adding a trend line can help in identifying the overall direction and strength of the relationship between variables.
Consider the impact of a third variable that might affect the relationship you’re observing. Including a third variable can add depth to your analysis and help explain any anomalies or outliers in your data.
In terms of aesthetics, ensure your scatter plot is clear and easy to read. Use distinct colors or symbols for different data sets to differentiate them effectively. This is especially important if you’re comparing multiple groups within the same plot.
Finally, always label your axes clearly and provide a legend if necessary. This helps viewers understand what each axis represents and makes your scatter plot more accessible and informative.

Scatter plots and plot graphs can visually depict the relationships and correlation between two variables, helping the presenter convey a message’s key elements more effectively. A scatter plot (or scatterplot) can also provide insights into patterns and trends in the data, helping the audience better understand the represented information being displayed.