Origin does not have a "Radar Plot" or any of its variants, but since we do support multiple axes, you can get something similar using our Polar Plot.
The graph below is a four layer plot with four polar graphs that have been merged to a single graph with three layers linked to one. Note the custom offset of the Y axis and their color-coding to their data. Each Y axis has its own scale. We can't do tilted axes, so this seems the best way to display using Origin.
These Y datasets use 0-90-180-270 as their X values and another dataset of text (First-Second-Third-Fourth) is used for the X Axis Tick Labels.
I just tried following this advice, but can't get it to work. Your example seems to be scaled for each Y dataset, not each of the axes.
A concrete example of cereal flakes may help: First axis: moisture content (10-16%) Second axis: water absorption (50-120%) Third axis: flake thickness (0.5-1.2 mm) Fourth axis: bulk density (300-500 g/l)
We have various uses for the flakes (breakfast cereal, biscuits, porridge). We want to compare profiles of various products with the needs of the end-user.
The only thing that I found that worked was to normalise the data, but this does not make the results easy to interpret. Any more suggestions? For example, a better way than radar plots.
multiple axis in a net-graph
Posted - 05/14/2002 : 05:10:01 AM
