Describe your dataset and get a clean, labeled dot plot in seconds. Stacked dots over a number line, readable axis labels, and a layout ready for slides, reports, and statistics class.
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A simple frequency dot plot with stacked dots over a labeled number line, showing how often each value appears in the dataset.
A dot plot revealing the shape and spread of a dataset, making clusters, gaps, and outliers immediately visible.
A back-to-back or color-coded comparative dot plot for comparing the distributions of two groups on a shared axis.
A Cleveland dot plot ranking items by value, an effective alternative to a bar chart for comparing categories without ink-heavy bars.
A classroom-ready dot plot of student test scores, making it easy to see how the class performed at a glance.
A dot plot with the mean and median clearly marked as vertical reference lines, useful for statistics lessons on central tendency.
Start with one of these examples, then adapt the subject, labels, data, or layout for your own use.
A simple frequency dot plot with stacked dots over a labeled number line, showing how often each value appears in the dataset.
Create a clear frequency dot plot. Dataset: 2, 3, 3, 4, 4, 4, 5, 5, 6, 7. Draw a horizontal number line from 1 to 8 with labeled integer ticks. Stack solid black dots above each value to show frequency. Label the axis "Value". Classic textbook style. White background.
A dot plot revealing the shape and spread of a dataset, making clusters, gaps, and outliers immediately visible.
Create a dot plot showing a roughly bell-shaped data distribution. Values: 10, 12, 13, 13, 14, 14, 14, 15, 15, 15, 16, 16, 17, 18, 20. Horizontal number line from 9 to 21, stacked dots, labeled axis "Measurement". Highlight the cluster in the middle. Classic style. White background.
A back-to-back or color-coded comparative dot plot for comparing the distributions of two groups on a shared axis.
Create a comparative dot plot with two groups on the same horizontal number line (range 0 to 20). Group A (blue dots): 8, 9, 10, 10, 11, 12, 13. Group B (orange dots): 12, 13, 14, 14, 15, 16, 17. Stack dots above each value, color-code by group, add a legend and axis label "Score". White background.
A Cleveland dot plot ranking items by value, an effective alternative to a bar chart for comparing categories without ink-heavy bars.
Create a Cleveland dot plot ranking 7 countries by average annual rainfall (mm): Brazil 1761, Indonesia 2702, Colombia 3240, Malaysia 2875, Philippines 2348, India 1083, China 645. Horizontal axis labeled "Annual Rainfall (mm)", countries listed on the vertical axis sorted by value, one dot per country with a thin guide line. Minimal clean style. White background.
A dot plot generator is a tool that turns a list of data values into a dot plot chart automatically. In a dot plot, each data point is represented by a dot placed above its position on a number line, and repeated values are stacked vertically, making it simple to see how frequently each value occurs. Figviz takes a plain-language description of your data and builds a clean, labeled dot plot in seconds, so you spend your time reading the chart rather than drawing it by hand.
Dot plots and histograms both show the distribution of a dataset, but they serve slightly different purposes. A dot plot shows every individual data point and works best for small to medium datasets (roughly 5 to 50 values) where preserving the raw values matters. A histogram groups values into bins and works better for large datasets where showing every point would make the chart unreadable. If you are exploring a small dataset in a statistics class or research report, a dot plot gives more detail. If you have hundreds or thousands of observations, a histogram is usually cleaner. Figviz can generate both, so you can compare and choose.
Use a consistent dot size and even spacing so stacked columns are easy to count. Start the number line just below the minimum value and end it just above the maximum so the chart does not have dead space at the edges. Label the axis with units (for example "Height (cm)" rather than just "Height") so the chart is self-explanatory. If you are comparing two groups, use color or shape to distinguish the dots and always include a legend. For statistics homework, mark the mean and median with vertical lines so the reader can see central tendency at a glance.
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