UChartXChart tools, checks, reports
Examples Privacy Start with CSV

CSV / Manual to Histogram

Histogram Maker

Show the distribution of one numeric field. UChartX adds automatic bins, editable bin size, and spread summary, 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 Histogram Maker a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Histogram

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

Chart viewChoose a view for this preview.

Histogram: Show the distribution of one numeric field.

uchartx.com

Publish & Export checksTitle readySource note readyHistogram preview selected
Student: categoryScore: numberGroup: date
Input shapeCSV / Manual

scores, prices, durations, and counts

What this page addsautomatic bins, editable bin size, and spread summary

Show the distribution of one numeric field.

Export decisionHistogram / Distribution summary

Avoid this workflow for category comparisons with labels.

Use case

Histogram Maker workflow

Histogram Maker is for scores, prices, durations, and counts. It works with score distribution, class spread, and outlier review, adds automatic bins, editable bin size, and spread summary, 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, Manual data.
  2. Load a sample that resembles your data shape.
  3. Review detected fields and recommendations before export.
  4. Export Histogram, Distribution summary after the checks explain any remaining context or readability issues.

When to use

  • Use Histogram Maker when you need to show distribution and spread.
  • It is a good fit for scores, prices, durations, and counts.
  • It works best when your data resembles score distribution, class spread, and outlier review.

When not to use

  • Do not use this workflow for category comparisons with labels.
  • 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.
  • Values are grouped into automatic bins so the distribution can be reviewed without manual bucketing.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and histogram export readiness.

Checks before export

  • Using a histogram for named categories instead of numeric distributions.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for category comparisons with labels.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current histogram 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 category comparisons with labels.
  • 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 Histogram Maker?

Histogram Maker works best with clean score distribution, class spread, and outlier review that includes headers and enough rows to show distribution and spread.

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 Histogram Maker?

Yes. This page supports the relevant export options listed for the tool: Histogram, Distribution summary.