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CSV / Manual to Recommendations

Chart Type Recommender

Pick chart types based on fields and user goal. UChartX adds rules that explain why each chart fits, 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: Website traffic by channel as CSV

Analyzer5 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.
5rows
3fields
100%filled
0issues
5 parsed row(s)

Website traffic by channel gives Chart Type Recommender a different data shape for checking recommendations, controls, and exports.

Step 3

Visualize

Preview: Auto

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

Chart viewChoose a view for this preview.

Auto: Use the best default for the current page and detected fields.

uchartx.com

Publish & Export checksTitle readySource note readyAuto preview selected
Channel: categorySessions: numberConversions: percent
Input shapeCSV / Manual

choosing between common chart options

What this page addsrules that explain why each chart fits

Pick chart types based on fields and user goal.

Export decisionRecommendations / Reasons

Avoid this workflow for domain-specific statistical modeling.

Use case

Chart Type Recommender workflow

Chart Type Recommender is for choosing between common chart options. It works with traffic channels, acquisition mix, and conversion signals, adds rules that explain why each chart fits, and keeps the preview, checks, and exports tied to the data you entered.

From input to export

  1. Start with the traffic 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 Recommendations, Reasons after the checks explain any remaining context or readability issues.

When to use

  • Use Chart Type Recommender when you need to turn small data into a clearer chart.
  • It is a good fit for choosing between common chart options.
  • It works best when your data resembles traffic channels, acquisition mix, and conversion signals.

When not to use

  • Do not use this workflow for domain-specific statistical modeling.
  • 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

  • Choose the reader goal before accepting the first chart.
  • Review X and Y field mapping after import.
  • Use sorting or Top N when category labels are long.

Input and method

  • The parser normalizes rows into a browser-side table and never requires an account.
  • Field detection classifies traffic channels, acquisition mix, and conversion signals into number, date, category, or text fields.
  • The recommendation rules look for date, category, and numeric fields before choosing the first preview chart.
  • The score combines data readiness, field mapping, chart fit, labels, accessibility, and recommendations export readiness.

Checks before export

  • Using Chart Type Recommender with data that is better suited to domain-specific statistical modeling.
  • Exporting before adding a clear title, unit, or source note.
  • Ignoring the page limit: this workflow is not intended for domain-specific statistical modeling.
  • Treating the score as approval instead of reviewing the specific fixes.

Export options

  • PNG and SVG exports use the current recommendations 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 domain-specific statistical modeling.
  • Image-only chart recognition, cloud storage, and collaborative editing are not part of this version.
  • Generated summaries should be reviewed before publication.

Related tools

Chart Audit Checker100-point score with severity and suggested fixesMisleading Axis Checkertruncated axis, dual-axis, 3D, and area proportion checksChart Label Checkermissing title, unit, source, and annotation checks

FAQ

What data works best with Chart Type Recommender?

Chart Type Recommender works best with clean traffic channels, acquisition mix, and conversion signals that includes headers and enough rows to turn small data into a clearer chart.

What should I do with audit results?

Use the fixes as a publishing checklist and rerun the chart after changing labels, data shape, or export context.

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 Chart Type Recommender?

Yes. This page supports the relevant export options listed for the tool: Recommendations, Reasons.