WebToolArcHow to read this chart
A dot plot shows every observation and repeated values directly.
Before publishing
Review sample size, range and repeated observations; an empty source is no longer interpreted as a zero.
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Dot Plot Maker
Stack repeated values into a compact frequency dot plot and export it as SVG or PNG.
—Repeated values are stacked vertically.
Data readiness & publication review
Reviewing…Check the data before you export
Review the source structure, chart-specific interpretation risks and a copyable accessible summary. The chart itself remains the primary workspace above.
Findings
Accessible chart summary
Reviewing the current data…
This review checks structure and common interpretation risks; it does not prove that the source data, measurement method, denominator, units or conclusion are valid.
Dot Plot Maker: Frequency, Outliers & SVG Export Audit
Create and verify a dot plot with mean, median, standard deviation, frequency counts, IQR outliers and an SVG distribution preview.
Core data-to-chart workflows
Start with Graph Maker or CSV Chart Maker, then use a focused chart type when the visual question changes. Keep source data and export evidence connected instead of treating a rendered picture as the only record.
Graph MakerGeneral pasted-data chart workspaceLine Graph MakerOrdered change and multi-series trendsBar Graph MakerCategory comparison and sortingPie Chart MakerParts of one meaningful totalScatter Plot MakerX/Y relationships and trendlineGantt Chart MakerTask schedules across datesRadar Chart MakerMulti-axis profile comparisonCSV Chart MakerCSV/TSV import and chart switching
Practical guide and verification
Use the tool first, then use these checks to interpret, verify and hand off the result without displacing the primary workflow.
Choose the dot-plot convention that matches the data
A classroom frequency dot plot stacks repeated values over a number line, while other dot plots compare categories or show individual observations with jitter. Confirm which convention the assignment or report expects before styling the figure. A technically clean chart can still be the wrong chart type for the question.
Preserve the exact observations when possible
The main strength of a dot plot is that individual values remain visible. Avoid unnecessary binning when the data are discrete or the sample is small enough to read directly. If many near-unique decimal measurements create a wall of dots, consider a histogram or a clearly documented bin width rather than implying repeated exact values.
Audit center, spread, and outliers against the picture
Compare the visual distribution with the mean, median, standard deviation, frequency table and IQR flags already calculated by the tool. A point outside an IQR fence is a review signal, not proof of an error. Keep legitimate unusual observations unless the data-collection rule supports excluding them.
Export the chart together with the source evidence
SVG preserves vector quality for editing and publication, while PNG is convenient for slides and documents. Keep the source values or downloaded data beside the image so another person can reproduce the plot. Titles and axis labels should state the measured quantity and units rather than relying on nearby prose.