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React Charts - Axis Types

Display Data Accurately with React Charts Axis Types

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Explore React Charts axis types

Visualize data accurately with a wide range of axis types designed for different data scenarios. React Charts supports numeric, date-time, date-time category, category, logarithmic, and multiple axes, enabling developers to display continuous values, time-series data, categorical comparisons, and large-scale datasets with clarity.

React Charts numeric axis option for visualizing continuous values

Visualize continuous values with precision

Numeric axes display continuous values such as revenue, measurements, scores, and sales metrics. They help users compare values accurately across a chart and understand changes more clearly. Use it when visualizing data represented by precise numeric values.

Learn more about numeric axes

React Charts date-time axis option for tracking data changes over time

Track data changes over time

Date-time axes help visualize events and trends over time. They preserve chronological order and make time-based patterns easier to understand. Use it when each data point is associated with a specific date or time.

Learn more about date-time axes

React Charts date-time category axis option for displaying irregular dates

Visualize date-time data without gaps

Date-time category axes arrange dates in chronological order while displaying data points with equal spacing. They help visualize irregular or non-continuous date sequences without introducing empty intervals. Use it when date based data should appear in sequence, regardless of missing dates or uneven time intervals.

Learn more about date-time category axes

React Charts category axis option for comparing categories with greater clarity

Compare categories with greater clarity

Category axes help compare products, regions, departments, and other groups. They make category-based comparisons easier to understand at a glance. Use it when data is organized into distinct categories.

Learn more about category axes

React Charts logarithmic axis option for visualizing large ranges effectively

Visualize large ranges more effectively

Logarithmic axes display data using a logarithmic scale, making it easier to compare values that differ significantly in magnitude. They help reveal patterns and trends that may be difficult to see on a standard numeric axis. Use it when data spans multiple orders of magnitude or contains both very small and very large values.

Learn more about logarithmic axes

React Charts multiple axes option for combining multiple datasets

Combine multiple datasets at different scales

Multiple axes allow different series to use separate scales and measurement units within the same chart. This helps visualize related metrics together while preserving accuracy and readability for each dataset. Use it when comparing data that requires independent scaling or different units of measurement.

Learn more about multiple axes

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Frequently Asked Questions

The date-time axis is the right choice among React Charts axis types when each data point is associated with an exact time. It maintains consistent spacing between dates, even when no value exists for a particular date.

Yes. Multiple x-axes and y-axes are supported, allowing series with different units or scales to coexist in the same chart while maintaining independent scaling and formatting for each axis.

Yes. Labels, intervals, number formats, tick lines, and gridlines can be customized per axis, and individual elements like gridlines can be hidden while the axis continues to control chart scaling.

The date-time category axis spaces dates evenly without gaps for missing dates, while the date-time axis inserts gaps for periods with no data. Use the date-time category axis when dates should appear uniformly spaced.

Use a logarithmic axis when data spans several orders of magnitude and values vary widely. This scale makes both small and large values easy to interpret without one compressing the other.

Yes. Individual series can be bound to a specific x-axis or y-axis, allowing one chart to combine series with different units or magnitudes.

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