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Anychart html dial max range how to#

You can learn more from the Appearance Settings section.

selectFill(), selectHatchFill(), selectStroke() configure the visual settings on select.

hoverFill(), hoverHatchFill(), hoverStroke() configure the visual settings on hover.

color(), fill(), hatchFill(), stroke() set the color, fill, hatch fill, and stroke.

Here is a full list of methods used to configure visual settings that are available for the Range Bar series: Read the overview of general settings: General Settings. In An圜hart there are many settings that are configured in the same way for all chart types, including the Range Bar chart (for example, legend and interactivity settings).

create a range bar series and set the data The following sample demonstrates how a basic Range Bar chart is created: // create a data set That is how it looks like in object notation: var data = [ Since range bar charts plot two Y-values per data point, you need to specify two values for each category by using the "low" and "high" parameters. To create a Range Bar chart, use the rangeBar() method (before, of course, you should create a chart by using anychart.bar() or any other cartesian chart constructor). You can also see the table below to get a brief overview of the Range Bar chart's characteristics:

Anychart html dial max range how to#

This article explains how to create a basic Range Bar chart as well as configure settings that are specific to the type. It is used to show the difference between high and low values while visualizing time-based data or showing comparison among categories.

This type is sometimes referred to as the floating bar chart since it looks like a set of bar "floating" above the horizontal axis. In multi-series range bar charts, values are grouped by categories.

So, the range bar chart is a vertical version of the range column chart. The vertical axis shows the values, and the horizontal axis shows the categories they belong to. Moving Average Convergence Divergence (MACD)Ī range bar chart displays information as a range of data by plotting two Y-values (low and high) per data point.