WinForms ChartView Overview
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WinForms RadChartView Getting Started with RadChartView for WinForms Telerik ChartView control facilitates data visualization, achieving stunning visual effects. This chart component sets no limits on your data visualization needs. It can easily turn into Bar, Pie, Line, Area, Polar, Radar and Scatter with only a few clicks at design time. The input data is contained in a set of series classes. Each series have a collection of data points, that is, a data source which it displays according to the series’ type. 
Overview
RadChartView is a versatile charting component that offers drawing capabilities, user interaction and realtime updates. Its intuitive object model and public API allow complex charts to be easily setup either in designtime or through code. The control is completely data aware and may work in bound or unbound mode, depending on the requirements. Chart types (or series) are organized in hierarchies, depending on the coordinate system, used to plot data points – for example we have CartesianArea (using Cartesian coordinate system) and PolarArea (using polar or radial coordinate system) and PieArea.
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Architecture
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. Data points may be added directly to series or a data binding mechanism may be used to create the appropriate data points from the raw data.
RadChartView works with three area types  Cartesian, Polar and Pie
Cartesian Area
As the name hints, this concrete chart 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.
Axes Types
Available are the following axes:
Categorical
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.
Datetime Categorical
Special categorical axis that expects each data point to provide a System.DateTime 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.
Linear
Calculates the coordinate of each data point, depending on the actual numerical value this point provides for the axis. 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.
Logarithmic
Special linear axis that will transform each data point value using the logarithm function. Allows numerical data with huge delta between the minimum and the maximum to be visualized in a readable way.
Datetime Continuous
Special axis that expects each data point to provide a System.DateTime structure as its value for this axis. May be thought of 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.
Series Types
The currently implemented chart series are categorical – they accept CategoricalDataPoint and expect a categorical axis to be specified in order to be properly visualized. Following is a list with all the available series:
Area
Data points and the corresponding coordinate axis enclose an area that may be optionally stroked and/or filled.
 Stack100: It shows the combined contribution of values as percentages where the combined total for each category is 100 percent. It's good to use it when the relationship between values in a category is more significant than the amounts.
SplineArea
An area, which points are connected with smooth rather than straight segments.
 Stack100: It shows the combined contribution of values as percentages where the combined total for each category is 100 percent. It's good to use it when the relationship between values in a category is more significant than the amounts.
Bar
Data points are represented by a box where the height (width) of the box is the distance between the point’s numerical value and the categorical axis that plots the point. Bars may be either “horizontal” or “vertical” depending on whether the categorical axis is specified as an “Xaxis” or as a “Yaxis”.
 Stack100: It shows the combined contribution of values as percentages where the combined total for each category is 100 percent. It's good to use it when the relationship between values in a category is more significant than the amounts.
Line
Data points are connected with straight line segments.
 Stack100: It shows the combined contribution of values as percentages where the combined total for each category is 100 percent. It's good to use it when the relationship between values in a category is more significant than the amounts.
Spline
Data points are connected with smooth rather than straight line segments.
Scatter Point
Data points are simply plotted in the chart plot area with nothing connecting them. Each scatter data point has X and Y values which make the position of the data point in the data source and its location on the plot area unrelated. For example the third data point in the data source may appear before the first data point when plotted. There are also scatter line and scatter area series which behave in the exact same way with the only (visual)difference that the points define a line and area respectively.
Combined Series
Each of the above series of same type may be combined in either stacks or clusters. Combinations are formed when more than one data point from different series falls within a same category. The “Cluster” combine mode will position such points next to each other while the “Stack” one will arrange such points in a stacklike structure. When stacks are formed, the numerical axis (if present) will consider each stack as a single entity and its sum will be the actual value used rather than each point’s one.
Polar Area
This area setups a polar coordinate system, where each value is positioned using a valueangle couple. Additionally, the Polar area renders Radar series, which splits the polar area into equalsize category sectors.
Axes Types
This area setups a polar coordinate system, where each value is positioned using a valueangle couple.
Polar Axis
Special axis which is a fixed line in a system of polar coordinates from which the polar angle, θ, is measured anticlockwise. You may read more about it in Polar Axis topic.
Radial Axis
Special axis used by the PolarArea Radar Series.
 Categorical: Positions catgories/labels around the circumference of the circle.
Series Types
Supports Polar and Radar series.
Polar Series
Polar series consists of a group of classes that plot data in radial plot area in polar coordinates. Polar series have three implementations – PolarLineSeries, PolarAreaSeries and PolarPointSeries.
Radar Series
The radar chart is a twodimensional chart of three or more quantitative variables represented on axes starting from the same point. RadChartView supports the following Radar Series implementations out of the box: RadarPointSeries, RadarLineSeries and RadarAreaSeries.
Pie Area
This concrete chart control visualizes its data points using radial coordinate system. Each point is represented as an arc segment where the arc’s length is actually the percentage this point’s value is from the total sum.
Series Types
Pie Area supports Pie and Donut series and it does not use axes.
Pie Series
They visualize each data point as a pie slices with arc size directly proportional to the magnitude of the raw data point’s value.
Donut Series
They visualize each data point as a slice with arc size directly proportional to the magnitude of the raw data point’s value.
Controllers
Both chart types (pie and cartesian) have a controllers collection that accepts ChartViewController objects. Each object represents a special interaction behavior such as Scroll and Zoom or TrackBall.
Features
RadChartView provides a wide set of features.
Scroll And Zoom
RadChartView provides zoom and scroll interactivity with the ChartPanZoomController class.
Lasso Selection
This functionality is defined within the LassoZoomController class and it allows the end use to lasso zoom (zoom to selection).
Selection
Selection behavior can also be added to the data points of the chart by using the ChartSelectionController.
Tooltip
Tooltip interactivity can be achieved by adding a ChartTooltipController displaying arbitrary information about a particular data point.
Trackball
The ChartTrackballController can display a vertical line across the chart plot area and also to display little visual indicators (circles by default) at points where the trackball line crosses the visualization of a series object.
Title and Legend
RadChartView can display a title for the whole chart and different legends for each of the added series.
Smart Labels
DataPoint labels can be arranged in a way so that any possible overlaps be resolved automatically.
DrillDown
The drill down functionality of a chart allows users to click on a graphical element (bar, pie segment etc.), representing some data, in order to navigate to another view which contains different data than the first one.
Export
RadChartView can be exported to a Bitmap image.
Chart Grid
The chart may be optionally decorated with gridlike visuals which support horizontal and vertical lines, associated with axis ticks and horizontal and vertical stripes – the area between two adjacent ticks. Such visuals are available for both Cartesian and Polar coordinates via Cartesian Grid and Polar Grid respectively.