React Charts - Chart Types

React Charts with 55+ Chart Types for Analytics

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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.

React Charts line and area charts showing trend analysis

Line, Spline, and Area Charts visualize trends and changes over time. Suitable for analyzing growth, decline, seasonality, and performance patterns across continuous data.

Learn more about line charts

React Charts bar and column charts for category comparison

Compare categories with Bar Charts

Bar and Column Charts display values as horizontal or vertical bars for comparison across categories. Suitable for identifying differences in magnitude, ranking items, and comparing relative performance across grouped data.

Learn more about bar charts

React Charts pie and donut charts showing proportions

Show proportions with Pie Charts

Pie and Donut Charts show how individual values contribute to a whole. Suitable for part-to-whole comparisons with a limited number of categories and a meaningful total.

Learn more about pie charts

React Charts financial charts showing stock and trading data

Track markets with Financial Charts

Financial Charts such as Candlestick and OHLC Charts visualize open, high, low, and close price movements over time. Suitable for evaluating price trends, volatility, and market activity across time-based financial data.

Learn more about financial charts

React Charts scatter and bubble charts analyzing relationships

Show relationships with Scatter Charts

Scatter and Bubble Charts plot relationships among multiple variables as individual data points, with bubble size representing an additional measure. Suitable for identifying correlations, clusters, trends, and outliers across large datasets.

Learn more about scatter charts

React Charts distribution charts showing data spread and outliers

Explore data distribution and outliers

Histogram and Box plot Charts show how values are distributed across a dataset. Suitable for statistical analysis of variation, spread, central tendency, and outliers.

Learn more about distribution charts

React Charts polar and radar charts comparing multiple variables

Compare metrics with Radar Charts

Polar and Radar Charts compare multiple metrics within a single visualization. Suitable for identifying relative strengths, weaknesses, and performance differences across categories.

Learn more about radar charts

React Charts range and stacking charts showing intervals and totals

Show ranges and cumulative totals

Range and Stacked Charts display minimum and maximum values across periods or categories while showing how individual values contribute to cumulative totals. Suitable for tracking intervals, allocations, and cumulative progress.

Learn more about range and stacking charts

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Frequently Asked Questions

Line, Spline, and Area Charts display trends and changes across time-based data. Trend visualization is suitable for analyzing growth, decline, seasonal patterns, and performance changes over a continuous period.

Bar and Column Charts are suitable for comparing values across categories and identifying differences in magnitude and rank.

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.

Yes. React Charts supports combination charts, allowing chart types like line, column, area, and spline to be displayed together within a single chart.

Scatter and Bubble Charts are suitable for exploring relationships among variables and identifying patterns, trends, and outliers.

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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