We are attempting to implement an historical Market Minute-by-minute chart showing Open/Close for an x-period of days within a given week. For instance, in one chart we want to show data from, say 9-5 for Monday, Tuesday, Wednesday, Thursday and Friday – one distinct dataset that shows data for non-contiguous time ranges.
To summarize:
- I should be able to divide the graph in multiple/five parts/show highlighted grid lines.
- For each day my data is concentrated on only a small window, say 3-5 PM. I want to show only this window in time scale for any given day and not entire 24 hours. Ideally, there should be an easy way to suppress time space where gradient is zero or there is no data.
Is it possible to do this with RadControls for Silverlight?
I am happy to include a jpg example.
Many thanks,
- Rich
3 Answers, 1 is accepted
0
Hi Rich,
Thank you for evaluating RadChart.
Unfortunately, this scenario is not supported natively by the control. We will further analyze your requirements and will probably implement similar functionality in a future version of RadChart.
We are sorry for the inconvenience.
Regards,
Velin
the Telerik team
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Thank you for evaluating RadChart.
Unfortunately, this scenario is not supported natively by the control. We will further analyze your requirements and will probably implement similar functionality in a future version of RadChart.
We are sorry for the inconvenience.
Regards,
Velin
the Telerik team
Instantly find answers to your questions on the new Telerik Support Portal.
Check out the tips for optimizing your support resource searches.
0
Nataraja Koduru
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answered on 15 Sep 2009, 09:53 PM
We have similar requirement. We have times where no data is collected. I am wondering if we can achieve this breaking the dataset into multiple dataseries. Certainly we can do it, but the question we have is does it scale - meaning how many data series can we implement without having performance penalty
0
Hello Nataraja,
Having more data points bound to the control inevitably leads to more calculations in code behind and more visual elements which need to be rendered on the screen.
While the product was designed to be easily customizable and feature rich it does not cope well with extremely busy charts or rendering a lot of graphs on a single page. We are continually improving performance as we go but still the bottom line is that the control is targeted for casual situations which do not require a high performance solution. There is a trade off to make between high customization and high performance and we've gone the rich features path as it is what most of our customers are interested in.
We hope you will find our control scalable enough for your particular scenario.
Regards,
Velin
the Telerik team
Instantly find answers to your questions on the new Telerik Support Portal.
Watch a video on how to optimize your support resource searches and check out more tips on the blogs.
Having more data points bound to the control inevitably leads to more calculations in code behind and more visual elements which need to be rendered on the screen.
While the product was designed to be easily customizable and feature rich it does not cope well with extremely busy charts or rendering a lot of graphs on a single page. We are continually improving performance as we go but still the bottom line is that the control is targeted for casual situations which do not require a high performance solution. There is a trade off to make between high customization and high performance and we've gone the rich features path as it is what most of our customers are interested in.
We hope you will find our control scalable enough for your particular scenario.
Regards,
Velin
the Telerik team
Instantly find answers to your questions on the new Telerik Support Portal.
Watch a video on how to optimize your support resource searches and check out more tips on the blogs.