Horizontal Bar
Compare items side by side with bars extending left to right. Perfect when category names are long.
Not sure which chart to use? This guide helps you match your data to the right visualization — from classic bar charts to line charts, pies, and relationship charts like scatter plots. Each chart type page includes clear "when to use / when to avoid" guidance, data requirements, and quick comparisons to similar charts. You can then create the chart in PrettyChart from CSV/Excel, by drawing it, or by extracting data from an existing chart image — and export a high-quality PNG when you're done.
Compare values across categories
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Compare items side by side with bars extending left to right. Perfect when category names are long.
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Classic column chart with upright bars. Ideal for time-based data along the bottom.
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Multiple bars side by side for each category. Great for comparing groups across categories.
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Multiple columns side by side. Perfect for comparing performance across multiple measures.
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Bars divided into colored segments showing parts of a total. Great for composition analysis.
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Columns divided into segments showing totals and their components over time.
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Modern, minimal alternative to bar charts. Thin horizontal stems with circles reduce visual clutter.
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Vertical lollipop chart with upright stems. Perfect for time-based data or short category names.
Show changes over time
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The go-to choice for showing change over time. Points connected by lines reveal trends.
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Compare multiple trends simultaneously. Each line represents a different series.
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Like a line chart with filled space below. Emphasizes magnitude and volume over time.
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Layered areas showing total and composition trends. See how parts evolve over time.
Show parts of a whole
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Classic way to show parts of a whole. Each slice is a percentage of the total.
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Modern pie chart with a hollow center. A clean, dashboard-friendly way to show parts of a whole.
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Grid of 100 squares showing proportions. Each square represents 1% of the total.
Explore correlations
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Explore relationships between two variables. Each point shows an X-Y pair.
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Scatter plot with a third dimension: bubble size. Visualize 3 variables at once.
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Grid of colored cells where intensity = value. Spot patterns in large datasets.
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