As a part of project I need to present a 3D scatter plot in a web page based on the 3 columns data from a table from database. Is there a way to draw a 3d scatter plot in ASP.Net.
Assuming your third dimension is represented by colour there are many, Reporting Services provides all sorts of graph and charting mechanisms. A personal favourite of mine is JQPlot.
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Am using the latest vis.js library for my charting needs.
I want to select multiple data points on Graph2d scatter chart and draw a line amongst the selected data points to signify a pattern.
Any pointers?
The Graph2d doesn't support selecting data points. You could create a feature request for this in the issues section of the project: https://github.com/almende/vis/issues
I have a dense scatter plot on a map (produced using Python, matplotlib, and basemap). Here is a part of the image:
I'd like to solve the overlap problem. I think the way to do this is to combine this simple lat/lon coordinate mapping with the technique I often see implemented in those "spring-loaded" network (social, not computer) graphs.
Is there a simple existing algorithm to auto-magically move these points so that they are not overlapping? If so, I can easily than add a small line from each point to its the correct lat/lon coordinate where it is currently located.
Note: Hexbin and heatmap is not a solution since the discrete values are important and should not be compromised.
Is there a JavaScript library that allows you to visualize Radar Chart (aka Spider Chart) in 3D form along with the rotation.
What I mean by that is to visualize this kind of chart in 3D by adding time as a coordinate. The end result will be a 3D sphere that is not symmetrically shaped. For example:
I tried to search all different 3D JavaScript libraries but was not able to find anything that will let me do it easily without creating it from scratch.
What about D3? There aren't many chart types that can't be visualized with it.
More information at GitHub and Wikipedia.
I'm building a simple webapp that will display different charts about relationships between income and health. I'm trying to use Google Fusion Tables to generate the charts, but I've hit a snag. I have 807 rows in a chart and am trying to make a scatter plot between two columns.
It says all rows are being displayed, but the chart clearly doesn't have all of the data points. How can I get all of the points to display?
Charts in Fusion Tables are limited to 500 data points. When the count goes above that the scatter chart uses a sampling algorithm to trim the data to that limit. This should be indicated on the chart; I've filed a bug for that.
Using R I would like to replace the points in a 2d scatter plot by a pie chart displaying additional values.
The rational behind is that I have time series data for hundreds of elements (proteins) derived from a biological experiment monitored for 4 conditions. I would like to plot the elements (categorial data) on the y axis and occurrence of a event in time on the x axis. To visualize the relative occurrence between the 4 conditions I would like to visualize this in form of a pie chart or doughnut chart overplayed onto the respective point in the scatter plot.
The overall data density is low so overlapping won't be an issue.
Is this possible in R?
I was thinking of using a manual scale in ggplot2 but could not figure out how to define a pie chart as a scale.
Also of interest would be how to best cluster this data and sort it accordingly.
Yes. pieGlyph() is one ready-to-go function from the Rgraphviz package.
Also, I would check out this Q/A for how to do things like this more generally:
How to fill a single 'pch' point on the plot with two-colours?
Especially check out ?my.symbols from the TeachingDemos package.
Lastly, in regards to ggplot2, you should check out this blog post about possible upcoming features:
http://blog.revolutionanalytics.com/2011/10/ggplot2-for-big-data.html
See also Paul Murrell. Integrating grid graphics output with base graphics output. R News, 3(2):7-12, October 2003. http://www.r-project.org/doc/Rnews/Rnews_2003-2.pdf
The code on pp 10-11 sets up the main plot axes, labels and legend, and then opens a series of smaller windows centered at each individual point on the plot and plots a small graph in each window. I've tried pie charts, mosaics and barplots, but the method is not limited to these types.