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Examples Privacy Start with CSV

CSV / Excel to Box plot

Box Plot Maker

Summarize spread, median, and outliers. UChartX adds quartiles, IQR outlier rules, and grouped comparison, then lets you audit and export the result.

  1. 1Upload DataPaste, upload, or load a sample
  2. 2Check & DescribeReview fields and data quality
  3. 3VisualizeChoose and refine the chart
  4. 4Publish & ExportCheck context and download
Chart ready

Loaded sample: Student score distribution as CSV

Chart maker6 rows96/100 score
Browser-side processingNo account requiredUse small, non-sensitive datasets

Steps 1-2

Upload and check data

CSV or pasted tableUse a header row followed by one row per item. Commas, tabs, and copied spreadsheet rows are accepted.Month,Revenue Jan,12400 Feb,13850
Field inspectorOverride a type when the automatic detection is wrong.
6rows
3fields
100%filled
0issues
6 parsed row(s)

Student score distribution gives Box Plot Maker a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Box plot

Exports use report 1200x800 with the current title, source note, chart view, and watermark.

Chart viewChoose a view for this preview.

Box plot: Summarize spread, median, and outliers.

uchartx.com

Publish & Export checksTitle readySource note readyBox plot preview selected
Student: categoryScore: numberGroup: date
Input shapeCSV / Excel

comparing distributions by group

What this page addsquartiles, IQR outlier rules, and grouped comparison

Summarize spread, median, and outliers.

Export decisionBox plot / Outlier notes

Avoid this workflow for small samples under five values.

Use case

Box Plot Maker workflow

Box Plot Maker is for comparing distributions by group. It works with score distribution, class spread, and outlier review, adds quartiles, IQR outlier rules, and grouped comparison, and keeps the preview, checks, and exports tied to the data you entered.

From input to export

  1. Start with the scores sample or paste your own CSV, Excel data.
  2. Load a sample that resembles your data shape.
  3. Review detected fields and recommendations before export.
  4. Export Box plot, Outlier notes after the checks explain any remaining context or readability issues.

When to use

  • Use Box Plot Maker when you need to compare medians, ranges, and outliers.
  • It is a good fit for comparing distributions by group.
  • It works best when your data resembles score distribution, class spread, and outlier review.

When not to use

  • Do not use this workflow for small samples under five values.
  • Do not publish the result until title, unit, source, and export size have been reviewed.
  • Use another chart preview when the recommendations explain a better fit.

Controls that matter

  • Map fields before reading the chart.
  • Choose a chart type from the preview controls.
  • Add title and source context before export.

Input and method

  • The parser normalizes rows into a browser-side table and never requires an account.
  • Field detection classifies score distribution, class spread, and outlier review into number, date, category, or text fields.
  • The renderer calculates min, quartiles, median, and max from the selected numeric field.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and box plot export readiness.

Checks before export

  • Using Box Plot Maker with data that is better suited to small samples under five values.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for small samples under five values.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current box plot preview and selected size.
  • Markdown and mini report exports include title, source note, detected fields, score, and fixes.
  • HTML, JSON config, clean CSV, and alt text are available from the secondary export panel when data is valid.

Output limits

  • Very large datasets should be summarized before using this browser-side tool.
  • Avoid this workflow for small samples under five values.
  • Image-only chart recognition, cloud storage, and collaborative editing are not part of this version.
  • Generated summaries should be reviewed before publication.

Related tools

Bar Chart MakerTop N ranking, horizontal toggle, and axis label auditLine Chart Makerdate detection, moving average, and max/min highlightsPie Chart Makerslice warnings, Other grouping guidance, and bar chart fallback

FAQ

What data works best with Box Plot Maker?

Box Plot Maker works best with clean score distribution, class spread, and outlier review that includes headers and enough rows to compare medians, ranges, and outliers.

How do I know the chart is readable?

Review labels, category count, axis units, and whether the chosen chart supports the reader task.

Does UChartX upload my data?

Core chart creation runs in the browser. Avoid pasting private or regulated datasets into any web tool.

Can I export from Box Plot Maker?

Yes. This page supports the relevant export options listed for the tool: Box plot, Outlier notes.