Timeline for What's a good way of graphically representing a very large number of paired datapoints?
Current License: CC BY-SA 3.0
23 events
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| Oct 12, 2018 at 9:56 | answer | added | Rainald62 | timeline score: 1 | |
| Nov 3, 2017 at 11:27 | history | edited | kjetil b halvorsen♦ |
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| Nov 1, 2017 at 19:18 | history | edited | kjetil b halvorsen♦ |
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| Jun 1, 2017 at 18:28 | history | edited | kjetil b halvorsen♦ |
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| Apr 25, 2016 at 11:17 | answer | added | kjetil b halvorsen♦ | timeline score: 3 | |
| Mar 8, 2016 at 0:46 | vote | accept | ali_m | ||
| Jul 24, 2015 at 11:21 | history | tweeted | twitter.com/#!/StackStats/status/624539862499246081 | ||
| Jul 23, 2015 at 9:12 | answer | added | Moose | timeline score: 0 | |
| Jul 22, 2015 at 23:59 | comment | added | Till Hoffmann | Yes, Python code to generate data would be great! | |
| Jul 22, 2015 at 22:53 | comment | added | ttnphns | What you called "parallel line plot" and I know as high-low plot seems a nice solution. Your particular plot looks messy because you plotted the markers, the line edges, too. Erase them. Next, colour your lines. Where 'dots' were greater apply one colour, where 'bars' were greater, apply the other colour. Additionally, you could project summary statistics (such as means) onto the axis. | |
| Jul 22, 2015 at 22:41 | comment | added | Vladislavs Dovgalecs | Did you try to plot the distribution of the slope coefficients? Each line pair can be described by $k$ from $f(x)=kx+b$ | |
| Jul 22, 2015 at 22:16 | answer | added | Sean Easter | timeline score: 7 | |
| Jul 22, 2015 at 21:36 | history | edited | ali_m | CC BY-SA 3.0 |
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| Jul 22, 2015 at 21:27 | history | edited | ali_m | CC BY-SA 3.0 |
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| Jul 22, 2015 at 20:59 | comment | added | ali_m | @TillHoffmann That is real data. If it would help I can write some code to generate semi-realistic fake data (I write Python)? | |
| Jul 22, 2015 at 20:57 | comment | added | ali_m | @whuber Sorry for being unclear. What I was hoping for was a way to represent the data such that the values for both groups are plotted along the same, rather than orthogonal axes (as they are in the 'sloping line' and 'parallel line' plots). The message is very simple - that the values for the 'bars' are generally higher than those for the 'dots'. Beyond that, I don't care greatly about representing the density of the distribution, although I would like to convey that there are a large number of pairs in the sample. | |
| Jul 22, 2015 at 20:50 | comment | added | whuber♦ | Could you explain what you mean by a "compact" representation? The scatterplot is clearly superior to all the others in terms of showing the relationships as well as individually unusual data in a small area; it only grows better as the dataset size increases. (10,000 is not large for a scatterplot.) You mention so many different graphics that it is impossible to deduce what you really need. Please tell us the purpose of your visualization: exactly what kind of information do you hope to learn or convey to others? How accurately and quickly do you intend it to be perceived and understood? | |
| Jul 22, 2015 at 20:44 | history | edited | ali_m | CC BY-SA 3.0 |
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| Jul 22, 2015 at 20:42 | comment | added | Till Hoffmann | sorry, I missed that. How are you generating your synthetic data at the moment? | |
| Jul 22, 2015 at 20:42 | answer | added | Dirk Horsten | timeline score: 0 | |
| Jul 22, 2015 at 20:41 | comment | added | ali_m | @TillHoffmann Yes, I mentioned that at the end of my question. It's probably the best option I have at the moment, but I would prefer a more compact representation, and ideally one that represents the values of both groups along the same axis (perhaps I'm being unreasonably demanding...). I'll add the scatterplot to my question. | |
| Jul 22, 2015 at 20:23 | comment | added | Till Hoffmann |
Have you tried simply plotting the corresponding values of bar on the horizontal and dot on the vertical axis as a scatterplot?
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| Jul 22, 2015 at 20:17 | history | asked | ali_m | CC BY-SA 3.0 |