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Explore React Charts chart types
React Charts includes 55+ chart types for trends, comparisons, proportions, financial analysis, relationships, distributions, multi-metric comparisons, and cumulative totals. A consistent API allows chart types to be combined or switched without restructuring application data.

Show trends with line charts
Line, spline, and area charts visualize trends and changes over time. They help reveal growth, decline, seasonality, and performance patterns across continuous data. Use these chart types when tracking progress or monitoring changes across a period of time.

Compare categories with bar charts
Bar and column charts display values as horizontal or vertical bars, making it easy to compare data across categories. They help highlight differences in magnitude, rank items, and identify high and low performing groups at a glance. Use these chart types when comparing products, regions, departments, or other categories.

Show proportions with pie charts
Pie and doughnut(donut) charts show how individual values contribute to a whole. They are ideal for visualizing proportions, percentages, and composition within a dataset. Use these chart types when visualizing market share, budget allocation, or composition data.

Track markets with financial charts
Financial charts such as candlestick and OHLC charts visualize open, high, low, and close price movements over time. They help analyze trends, volatility, and trading activity across financial markets. Use these chart types when analyzing stocks, cryptocurrencies, or other financial instruments.

Show relationships with scatter charts
Scatter and bubble charts help reveal relationships between multiple variables. They help identify correlations, clusters, trends, and outliers within a dataset. Use these chart types when exploring relationships between multiple variables or identifying patterns in large datasets.

Explore data distribution and outliers
Histogram and box plot charts help explain how data is distributed. They make it easier to identify patterns, variation, and outliers within a dataset. Use these chart types when performing statistical analysis or evaluating data quality.

Compare metrics with radar charts
Polar and radar charts compare multiple metrics within a single visualization. They help highlight strengths, weaknesses, and performance differences across categories. Use these chart types when evaluating skills, products, teams, or performance metrics.

Show ranges and cumulative totals
Range and stacking charts display minimum and maximum values across a period or categories, and show how individual values accumulate toward a total. They help track intervals, allocations, and cumulative progress.
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Frequently Asked Questions
What React Charts type is best for showing trends over time?
Line, spline, and area charts are best for showing trends over time. They help visualize growth, decline, seasonal patterns, and performance changes across any dataset.
Which React Charts type is best suited for category comparison?
Bar and column charts are best for comparing values across categories, making it easy to identify differences and rank items.
Do all React Chart types support tooltips and legends?
Tooltips, legends, data labels, and animations are supported across all standard chart types. Financial chart types support tooltips and legends but have specialized data label formats aligned to OHLC values. Box plot and histogram chart type support tooltips with statistical summary values.
Can multiple React Chart types be combined in one chart?
Yes. React Charts supports combination charts, allowing chart types like line, column, area, and spline to be displayed together within a single chart.
Which React Charts type works best for analyzing relationships?
Scatter and bubble charts are best for exploring relationships between variables, helping identify patterns, trends, and outliers.
Can React Charts types be switched without changing the data source?
Yes. All standard chart types accept the same data point structure. Switching a series type requires only a type property change on the series definition, not a data structure change. Financial chart types (candlestick, OHLC) require OHLC fields and are the only series that use a different data model.
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