Timeline for Scatter plot: calculate box where 80 % of the points are
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| Mar 28, 2013 at 16:43 | answer | added | pitfall | timeline score: 1 | |
| Mar 28, 2013 at 14:22 | comment | added | Sparr | @JimPanse You need to specify how you want to choose between multiple different 80%-of-the-points-rectangles for the same point cloud. To explain what I mean, imagine a simple 10x10 grid of points (100 points). The rectangle could contain all columns except the last two, or the first two, or the first and last, or all rows in the same manner, giving the same solution. If you constrain this to "the 80% rectangle with its center nearest the center of the point cloud" then there are still two solutions in that case. In less simple cases you would also probably want the smallest rectangle. | |
| Mar 28, 2013 at 14:10 | answer | added | Jim Clay | timeline score: 2 | |
| Mar 28, 2013 at 8:08 | comment | added | Jim Panse | Ok, i want to help the user to easily recognize where the density of the point cloud is very high and therefore draw a rectangle around them. Because the plots have mostly a dense pointcloud and multiple outliers (like in the example), i want to build the "80%-of-the-points-rectangle" around the cloud, containing the dense pointcloud and including 80% of the points in the plot where the overall density in the rectangle is at its highest. | |
| Mar 27, 2013 at 22:52 | history | tweeted | twitter.com/#!/StackSignals/status/317046453455437824 | ||
| Mar 27, 2013 at 18:17 | history | edited | Martin Thompson | CC BY-SA 3.0 |
Added sample data plot from comments
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| Mar 27, 2013 at 15:21 | comment | added | Jim Clay | There are multiple solutions- i.e. multiple boxes- for any data set that will capture 80% of the data points. Can you constrain the problem any more? | |
| Mar 27, 2013 at 11:03 | comment | added | Jim Panse | Sure, but it's just an example. I want to determine where most of the points are in the plot: see Plot | |
| Mar 27, 2013 at 10:41 | comment | added | Martin Thompson | Can you post a picture of the data, along with where you'd expect the rectangle to be? I think you need more constraints too - I'd expect there to be several places you could put rectangles which encompass 80% of most datasets... but yours may be distributed in a special way. | |
| Mar 27, 2013 at 7:27 | history | asked | Jim Panse | CC BY-SA 3.0 |
