RadChartView: Overview
RadChartView for Android is a charting component that has been designed for the mobile environment. It offers great performance in loading time, drawing capabilities and realtime updates. Its intuitive object model and public API allow you to easily setup complex chart objects and integrate them into your application. The control supports different chart types (and series) organized in hierarchies, depending on the coordinate system, used to plot the data points—for example Cartesian (RadCartesianChartView) and radial (RadPieChartView) coordinate systems.
A charting component in general is used to visualize (or plot) some data in a humanreadable way through different representations like lines, areas, bars, pies, etc. Each series has a collection of data points—the data equivalent of a 2D point—and knows how to visualize them. Different series types may process certain types of data points—for example categorical series may contain categorical data points. An intuitive data binding mechanism transforms the raw data to appropriate data points depending on the chosen series.
Chart Types
Depending on the coordinate system that you want to use for visualization of the data points, you can use the following chart types:
 RadCartesianChartView: As the name hints, this concrete chart control uses the Cartesian coordinate system to plot the data points in its chart series. The X and Y axes define how each point’s coordinates in the plot area are calculated.
 RadPieChartView: This concrete chart control visualizes its data points using radial coordinate system. Each data point is represented as a slice from a pie. The ratio between the space consumed by each slice and the space consumed by the whole chart is the same as the ratio between the value of the data point that it represents and the total value of all data points in the series.
RadCartesianChartView
If you choose the Cartesian chart, you need to specify the type of each of the axes—horizontal and vertical—and the type of the series. Depending on the type of the series, you will need to choose axes that can visualize category or value (usually one axis to visualize the category and one to visualize value).
Axes that can visualize category
 CategoricalAxis: Arranges the plotted data points in categories where the key of each category is the point's value (if available) for that axis or its index within the points collection. The point's coordinate, specified by this axis is discrete and is calculated depending on the size of the category slot where the point resides.

DateTimeCategoricalAxis: This is a special categorical axis that expects each data point to provide a
java.util.Calendar
structure as its value for this axis. The points are grouped by a userdefined datetime component (Year, Month, Day, etc.) and then the groups are sorted chronologically. 
DateTimeContinuousAxis: This is a special axis that expects each data point to provide a
java.util.Calendar
structure as its value for this axis. You can think of DateTimeContinuousAxis as a timeline where the coordinate of each data point is calculated depending on the position of its associated DateTime on the timeline. The base unit (or the timeline step) of the axis is calculated depending on the smallest difference between any two dates.
Axes that can visualize value
 LinearAxis: Calculates the coordinate of each data point, depending on the actual numerical value this point provides for the axis. A LinearAxis exposes Minimum and Maximum properties to allow for explicit definition of the range of values visible on this axis. If these properties are not specified, the axis will automatically calculate the range, depending on the minimum and maximum data point values.
 LogarithmicAxis: Special linear axis that will transform each data point value using the logarithm function. Using LogarithmicAxis allows your app to show numerical data with huge delta between the minimum and the maximum to be visualized in a readable way.
Series supported by RadCartesianChartView
 LineSeries: Visualizes a collection of data points using a Line.
 SplineSeries: Visualizes a collection of data points using a Curve.
 AreaSeries: Represents a chart series that are visualized like an area figure in the Cartesian space.
 SplineAreaSeries: Represents series which define an area with smooth curves among points.
 BarSeries: Represents a chart series that plot their points using rectangular shapes, named "Bars". RadCartesianChartView can display BarSeries both horizontally and vertically. If the series are more than one, they can be stacked.
 RangeBarSeries: Represents a chart range bar series. Both BarSeries and RangeBarSeries display its data points as bars. However the bars in BarSeries represent just a single value and the bars in RangeBarSeries represent low value and high value.
RadPieChartView
The Pie chart doesn't have any axes. You just need to define the series that will contain the data. This chart supports these types of series:
 PieSeries: The PieSeries are used to visualize a single series of data in a pie chart. The sweep of a pie's slices is directly proportional to the magnitude of the data points' values.
 DoughnutSeries: The DoughnutSeries are similar to the PieSeries with the difference that the data points are visualized in doughnut segments.
Behaviors
Each chart can support different behaviors, which allow a certain interactivity. A behavior is generally an abstraction that handles user input in a RadChartView instance and optionally provides visual feedback upon some action. Currently RadChartView supports the following behavior:
 PanAndZoomBehavior: This behavior handles touch events to enable panning and zooming of the associated chart plot area.
Grid
RadChartView allows custom decoration over its plot area. You can adds lines and stripes which connect the tick of each axis. You can set a new grid with the method setGrid(CartesianChartGrid) in your chart instance. Read the Grid Section for more information.
Palettes
The Chart Palettes are a set of predefined values that you can use to set colors of a chart. RadChartView gives you options to define your own palettes and to use the ones we have prepared for you as well: "Light" and "Dark".
Annotations
Another feature of RadChartView is the ability to show annotations. They are visual elements that can be used to highlight certain areas on the plot area and denote statistical significance. The provided types of annotations include:
 CartesianGridLine: In the case of the Cartesian chart, the grid line represents a vertical or horizontal line which crosses the entire plot area.
 CartesianPlotBand: The Cartesian Plot Band annotation is either a horizontal or a vertical stripe that crosses entirely the vertical or horizontal axis, respectively.
 CartesianCustomAnnotation: This class exposes the functionality of adding userdefined annotations to the RadCartesianChart.
Labels
RadChartView can display different labels for the series and axes that are displayed. The labels can be fully customized according to your preferences.
Legend
RadChartView supports a legend that facilitates the reading and understanding of the displayed information. The legend can be used to easily associate the displayed visualizations with the actual data.