FloohOf all of those I think I enjoyed the "rough" one the best, because it also allowed for some kind of flipbook (if that is the term?)
Flooh
@drawingdata@vis.social
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Some recent stuff from elections in Austria: A timeline for results since 1945 (this loads a long time) https://www.drawingdata.net/nrw4517/ , some special results (and a lot of fun with rough.js) https://www.drawingdata.net/22elections/ , clustering of district results https://www.drawingdata.net/bezirke19/ and an animated treemap "explanation"
A ridgeline/joy-plot combined with a brush to show the combined values of an area (data is from a survey on attitudes about the eu in Austria, by party affiliation, https://bit.ly/2S7sBSX)
i'm always a little unhappy with line charts for polling data where there are a lot of spikes and up and down movement, so i tried my luck with a moving average and a brush to show the details.
finally i came around to translate some experiences i had with google vision, trying to analyse pictures of politicians https://drawingdata.net/nrpics/index_en.html
I was wondering what you think about a stepwise (?) interpolation for line charts (instead of linear)? I've been using it for election results recently as I think it's a better representation of the data (as the results do not change over time, but on election day).
I've also used it for displaying multiple results at a time, and while I was happy with the bar/density-like effect between the changes at first, I'm starting to think linear is somewhat clearer in this case.
TIL completely horizontal or vertical svg paths disappear when using a linear gradient as stroke (solutions are to use userSpaceOnUse as gradientUnits or to make them just a little uneven).
Btw I think TIL does not really capture the whole emotional kaleidoscope of such trial-and-error moments...
From the Berliner Morgenpost, the sound of the decline of the Social Democratic Party (based on polls): https://interaktiv.morgenpost.de/spd-absturz-sound/
i tried a little "handdrawn" highlighting:
(the whole piece can be found here, but beware, it's in german https://www.drawingdata.net/tirol2018)
Gregor AischIn case you're interested how the auto-detection of colorblind issues in Datawrapper works, I wrote it all down in an interactive blog post https://www.vis4.net/blog/2018/02/automate-colorblind-checking/ https://vis.social/media/JoiAHRvIu0BvxK8Mu8o https://vis.social/media/Jv8iNeTpJVhIjulb_Os
I wrote some code that automatically checks visualizations for non-colorblind safe colors. Here's how it works
Earlier this week we released a new feature at Datawrapper that checks colors used in charts or maps for problems with colorblind readers. If problematic colors are found, a warning sign is shown that