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Found this while trying to create an observable plot with multiple scales[1][2]. I'd argue multiple scales are OK if the multiple axes have different units tha
by Leftium 2y ago
Found this while trying to create an observable plot with multiple scales[1][2].
I'd argue multiple scales are OK if the multiple axes have different units that can't be easily compared/confused and are used for greater information density (instead of relative comparison purposes).
For example: I'd like to plot weather stats like hourly temperature, precipitation, and AQI throughout the day, so several different days can be compared with each other. (And fit all this information on a mobile screen.)
[1]: https://github.com/observablehq/plot/issues/147 https://github.com/observablehq/plot/issues/147
[2]: https://github.com/observablehq/plot/discussions/626 https://github.com/observablehq/plot/discussions/626
- bradford 2y agoI was coming here to say something similiar. The article only shows examples of dual axis charts where line series are used for both axes. This will clearly cause confusion (especially when tooltips are not available). I've generally found that when displaying a percentage, it is helpful to show the individual counts for numerator/denominator. I believe that showing percentage as a line series on one axis, and raw counts, represented as a column on the other axis, can be a helpful visual.
- dendrite9 2y agoHave you looked at how yr.no plots their forecasts on the phone. I find the graph view to be very helpful in the winter when planning ski days or days to skip. They must have updated the charts recently since they are different from what I remember this winter but it looks similar. An example: https://www.yr.no/en/forecast/graph/1-305409/Norway/Troms/Troms%C3%B8/Troms%C3%B8 https://www.yr.no/en/forecast/graph/1-305409/Norway/Troms/Tr...