I had started thinking about this problem recently too and also had broken it down to two parts. I was going to create a simple data frame protocol for a) and a ggplot2-inspired library which emits SVG for b). There is prior work for plotting in Incanter (using JFreeChart) and David Liebke also started a SVG-emitting plot library, Analemma (https://github.com/liebke/analemma). I believe there is some sort of data frame implementation in Incanter.
My motivation was for simple libraries which could be used to generate well-designed figures. I frequently end up exporting data from Clojure to R only for ggplot2. Having a data frame is useful for designing the plotting API or quickly collecting aggregate statistics for certain attributes or factor levels. On Friday, December 12, 2014 4:29:37 AM UTC-5, Mike Anderson wrote: > > Lucas, > > Thanks for kicking off the discussion - great to see your proposal on > this. I think it will be really valuable if we can converge on a standard > way of representing this kind of data in Clojure/ClojureScript. Copying the > Incanter and main Clojure groups as well because I think there will be > broad interest in this. > > My view is that it is worth distinguishing (decomplecting?) two things: > > a) The format used to convey the actual data, i.e. the labelled ":dataset" > part of the data format suggested below > b) The format used to specify the chart (chart type, axes etc.) > > I think a) Can be pretty closely linked to the standard core.matrix > dataset / n-dimensional array structure. > > b) is much harder and may call for something more like ggplot2, also worth > checking out Kevin Lynagh's c2 work (https://keminglabs.com/c2/) > > Therefore it may be easier to tackle a) in isolation first. b) will > probably need more experimentation before we can settle on something > sufficiently well designed and general. > > On Thursday, 11 December 2014 17:45:00 UTC+8, Lucas Bradstreet wrote: >> >> Hi everyone, >> >> We are currently writing an OM based visualisation / charting library >> that we >> intend to use extensively in combination with core.matrix and other data >> analysis libraries/tools (e.g. gorilla REPL, incanter, etc). >> >> Some of the goals of this library: >> - Provide a clojurescript wrapper for common visualisation libraries (C3, >> dimple, Rickshaw, NVD3) for standard charting features. >> - Provide a generic data format, with conversion functions to native >> charting >> library formats. >> - Provide transformation functions between core.matrix datasets, incanter >> datasets, etc to this generic charting format. >> - Provide update functions to allow datasets to seamlessly be updated >> with the >> addition of data-points in map and vector formats. >> - Provide seamless transitions when a dataset is updated, ala om. >> >> We would like to hear any of your thoughts regarding the following >> charting >> data format below. This format maps fairly closely to core.matrix datasets >> (note, although core.matrix datasets currently do not allow labelled >> dimensions, this support is incoming). >> >> {:axes [{:label "X axis label" :type :category} >> {:label "Y axis label" :type :category} >> {:label "Z axis label" :type :measure} >> {:label "C axis label" :type :color}] >> :chart-type :area >> :dataset {:labels [; 0th dimension is labelled from the 0th dimension >> of the 1st >> ; 1st dimension labels (i.e. columns) >> ["timestamp" "event-count" "magnitude" "colour"] >> ; 2nd dimension labels (i.e. series) >> ["series1" "series2" "series3"]] >> :data [[; series 1 data >> [1 2 3 4] ; timestamp values >> [100 200 300 400] ; event count value >> [50 100 150 200] ; magnitude values >> [25 50 75 100] ; colour values >> ] >> [[1 2 3 4] >> [1 200 3 4] >> [5 7 444 8] >> [9 10 11 12]] >> [[1 2 3 4] >> [1 2 3 4] >> [5 9 7 8] >> [9 10 11 12]]]}} >> >> The above format is close to the native format used by C3, and can be >> easily mapped >> to a format that is more easily consumed by dimple charts: >> >> {:axes [{:key "timestamp", :type :category, :label "X axis label"} >> {:key "event-count", :type :category, :label "Y axis label"} >> {:key "magnitude", :type :measure, :label "Z axis label"} >> {:key "colour", :type :color, :label "C axis label"}], >> :chart-type :area, >> :dataset [{:name "series1", >> :values [{"colour" 25, "magnitude" 50, "event-count" 100, >> "timestamp" 1} >> {"colour" 50, "magnitude" 100, "event-count" 200, >> "timestamp" 2} >> {"colour" 75, "magnitude" 150, "event-count" 300, >> "timestamp" 3} >> {"colour" 100, "magnitude" 200, "event-count" 400, >> "timestamp" 4}]} >> {:name "series2", >> :values [{"colour" 9, "magnitude" 5, "event-count" 1, >> "timestamp" 1} >> {"colour" 10, "magnitude" 7, "event-count" 200, >> "timestamp" 2} >> {"colour" 11, "magnitude" 444, "event-count" 3, >> "timestamp" 3} >> {"colour" 12, "magnitude" 8, "event-count" 4, >> "timestamp" 4}]} >> {:name "series3", >> :values [{"colour" 9, "magnitude" 5, "event-count" 1, >> "timestamp" 1} >> {"colour" 10, "magnitude" 9, "event-count" 2, >> "timestamp" 2} >> {"colour" 11, "magnitude" 7, "event-count" 3, >> "timestamp" 3} >> {"colour" 12, "magnitude" 8, "event-count" 4, >> "timestamp" 4}]}]} >> >> >> We would love to hear any feedback of any kind on this format. >> >> Thanks, >> >> Lucas >> > -- You received this message because you are subscribed to the Google Groups "Clojure" group. 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