ChartView

Slick and intuitive, RadChartView supports a great variety of chart types:

• Bar, Range, RangeBar or Radar chart to compare several data sets

• Pie and Donut chart to visualize a piece of data as part of the whole

• Area, Line, FastLine, Spline and Stepline charts to monitor trends

• Scatter, ScatterArea, ScatterLine and Bubble chart to visualize the correlation in a set of engineering data

• Polar chart to plot engineering data in a polar coordinate system

• Funnel chart to display a single series of data in progressively decreasing or increasing proportions

• Waterfall chart to show the cumulative effect of positive or negative values on the starting point

Easily create live-data experiences with updates as fast as the eye can see.

Take advantage of the high-low-close (HLC), open-high-low-close chart (OHLC) and CandleStick chart types to visualize data in financial-based applications.

The RadarColumn Series is a two-dimensional chart consisting of three or more quantitative variables represented on axes with the same starting point in the ChartView. Radar Charts, also known as web chart or spider chart are often used to showcase the quality of improvement or status in a few different areas.

Another functionality is the Lasso Selection (zoom to selection), where by selecting a rectangle on the surface of the control the latter will then zoom in automatically based on the selected Cartesian area.

Following RadGridView, RadPivotGrid, RadScheduler and RadPdfViewer, RadChartView is yet another control from Telerik UI for WinForms for printing. Using print setting dialogs, your end users are already familiar with, the printing process will be a breeze.

The control has a built-in ExportToImage function to export the control content to an image.

The control offers:

• Categorical axes to plot data that contains categorical values
• Categorical and Numerical DateTime axes to plot data with DateTime values sorted chronologically
• Linear axes to plot data containing numerical values
• Logarithmic axis used to plot numerical data where the values of each tick is growing exponentially
• Polar axis rendered as a fixed line in a system of polar coordinates, where polar angle, θ, is measured counter-clockwise
• Categorical and Numerical Radial axis to plot data in a Radar chart

Additionally, RadChartView features different plot modes (on ticks, between ticks), axis alignment and inverse axis.

To better outline the values of your data points, they need labels of their own. However, in the case where there are lots of data points, displaying all the necessary labels to the end-user can be a challenging task. RadChartView solves this problem for you by implementing a smart algorithm that arranges the labels preventing them from overlapping each other while making it clear which label belongs to which data point.

RadChartView supports multiple axes on the same chart and allows plotting data of different metric on the same chart. Such visual presentation allows the end-user to understand the relation between the different types of data involved in the same process.

It is important that you not only provide a beautiful piece of data visualization, but also a map to reading it. With RadChartView you also get a slick looking legend to provide context to your data visualization. The RadChartView legend is easily customizable so that you can align it against the chart plot and make sure that it matches your general look and feel.

A feature useful in many business cases, null-value support, enables RadChartView to properly display data with missing records for a given category or date, so your end users don’t confuse the missing records with zero values for those categories/dates. 

You can choose from one of the 19 predefined color palettes to get a chart look and feel that matches your application design. And if you require something even more custom, the flexible ChartView API will allow you to create your own palettes.

The smartly designed Telerik Presentation Framework allows for embedding ChartView into any of the other RadControls. This feature comes in very handy when you have to display trends in a GridView.