Free Dot Plot Maker - Create Your Own Dot Plot Online

Fully customize your dot plot design with our dot plot maker

STYLING PROPERTIES

Fully customizable dot plot

All elements in your dot plot such as labels, data marks, and axes can be styled to the smallest detail matching the most demanding design requirements. Background, dots size, stroke width, position, alignment: all tools are at hand to unleash your creativity and get the message of the dot plot across.

Make your own custom dot plot

DATA SHEET MANAGER

Organize your data

Load and store your xls, xlsx or csv data into the dot plot maker and link it with one or more charts in your designs. Manage your data sheets in workbooks and keep everything nicely organized and secured.

Start making your online dot plot

Create captivating presentations with our dot plot maker

OUTPUT

Easily share your chart

Bring the right message across using your dot plots. Import them as SVG or PNG in PowerPoint, Google Slides, or other tools and have your presentation look professional and on-brand. You can also easily embed them into your website or application.

Get started with our dot plot maker

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Sign in or create an account

Making an account on Datylon is free and it only takes a few seconds. You can use your email address or Google account to join our platform and start making your own dot plot.

Select 'Create design'

Although you can start by editing a pre-made dot plot design on the Inspiration page, you can also create a dot plot from scratch with our dot plot maker. Just select 'Create design' and stay in the "Charts" category.

Creating a design from scratch or using a pre-made template

Select your default dot plot template

Default charts serve as a starting point to help you design your dot plot. Click on the dot plot card to see a set of default variations and select the one you want by clicking on it.

Add your data

There are a few ways to add your data to the dot plot maker. You can just type or copy-paste your data into an empty or dummy data sheet. You can also add a locally saved file. You can find more detailed information on how to manage data in the Datylon dot plot maker in our Help Center article.

Adding your data manually, via cloud or from a local machine

Bind your data and style the dot plot

Data binding is the mandatory step to connect the data as dots to categories, serie, or data marks (e.g. dot plot axis). Make sure to check out our Help Center article to learn more about binding in our dot plot maker.

Export your dot plot design

Every design, publication, and inspiration chart can be exported to SVG, PNG or PDF file.

Get started now.

Exporting your dot plot design to pdf, png or svg file

What is a dot plot?

A dot plot shows one or more quantitative values per category by plotting one or more dots per category on a numerical (or date-time) axis.

A dot plot with only one value per category makes a comparison between those categories very easy. When the dot plot has multiple values per category, you can also compare within the categories. This results in a chart type that packs a lot of information in a small space.

Since the dots communicate information via their position on the axis, and relatively via their position towards each other, the start- and end-point of the axis should be based on the minimum and maximum values in the data. There is no need to start the axis at zero.

By adding a connector between the dots, you can add an extra dimension to an already information-dense chart: The connector adds a focus on the delta between two values or the range between a minimum and maximum value.

Dot plots are a powerful tool for comparing data. They shine in revealing how data points relate to each other by placing them side-by-side as dots. While bar graphs are the usual choice for comparison, dot plots become a strong alternative when you have a lot of data for each category. This strength comes from their ability to save space. Unlike bars that take up a lot of room, each data point in a dot plot needs just one dot. This makes them very effective for following the "data-to-ink" rule, which means showing as much data as possible with minimal decorations.

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