@drawingdata (2/2) Although I'm not sure that with what your data represent steplines are the best choice. Perhaps a stacked bar system could help maintain the time series in the way you are saying while producing a less crowded picture with no overlapping elements. This is a nice recent example of what I'm trying to say: https://www.theguardian.com/politics/ng-interactive/2018/may/04/local-council-election-results-2018-in-full

@drawingdata hello! Here's a few thoughts: with your data, I think I would go with linear interpolation, if I had to choose between the two, to show trends of how election results changed in time, with highlights+labels as you did later for steplines.
I like steplines bc when they are many, as in your case, the distribution at each step becomes very clear. I also agree with your thought "it's a better representation of the data" since it's not a continuous set of data but rather discrete. (1/2)

@Luca cool! And thanks for sharing the code :)

@gka @duncangeere @DominikHaas ahh this is something that @p_maravich and I were discussing recently! Thanks for sharing

@Luca does the tool use live data? :) maybe it’s written somewhere and I haven’t seen it already