Which chart type should I choose?

Bars compare categories, lines show change over time, pies show composition of a whole, scatter plots reveal relationships between two numbers, and histograms show value distributions.

Why does my chart look wrong?

Usually a type problem: numbers stored as text, dates in mixed formats, or duplicate category labels with different spacing. Profile the file, clean it, and rebuild.

Documentation

Creating visualizations

Build charts in the Visualizer.

Quick answer

Load a cleaned file in the Visualizer, pick a chart type (bar, line, area, pie, scatter, histogram), map your measure and category columns, and export the result as PNG or SVG.

Steps

Open Tools → Visualizer and load the file.
Choose a chart type that fits the data: bars for categories, lines for trends, scatter for relationships.
Map the measure (numeric) and category (text/date) columns.
Adjust colors and labels until the chart reads clearly.
Export as PNG for slides or SVG for print and the web.

Tips

Clean and profile first — stray spaces create phantom categories.
One chart answers one question; split complex stories across charts.

Common questions

Which chart type should I choose?: Bars compare categories, lines show change over time, pies show composition of a whole, scatter plots reveal relationships between two numbers, and histograms show value distributions.
Why does my chart look wrong?: Usually a type problem: numbers stored as text, dates in mixed formats, or duplicate category labels with different spacing. Profile the file, clean it, and rebuild.

Use it in

Back to documentation Cleaning data Removing duplicates Handling missing values

Documentation

Creating visualizations

Build charts in the Visualizer.

Quick answer

Load a cleaned file in the Visualizer, pick a chart type (bar, line, area, pie, scatter, histogram), map your measure and category columns, and export the result as PNG or SVG.

Steps

Open Tools → Visualizer and load the file.
Choose a chart type that fits the data: bars for categories, lines for trends, scatter for relationships.
Map the measure (numeric) and category (text/date) columns.
Adjust colors and labels until the chart reads clearly.
Export as PNG for slides or SVG for print and the web.

Tips

Clean and profile first — stray spaces create phantom categories.
One chart answers one question; split complex stories across charts.

Common questions

Which chart type should I choose?: Bars compare categories, lines show change over time, pies show composition of a whole, scatter plots reveal relationships between two numbers, and histograms show value distributions.
Why does my chart look wrong?: Usually a type problem: numbers stored as text, dates in mixed formats, or duplicate category labels with different spacing. Profile the file, clean it, and rebuild.

Use it in

Back to documentation Cleaning data Removing duplicates Handling missing values

Creating visualizations

Quick answer

Steps

Tips

Common questions

Use it in

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Creating visualizations

Quick answer

Steps

Tips

Common questions

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