David Zumbach
@DavidZumbachHead of Data Science @gfzb_info | Alumnus @ipz_ch | Athletics Enthusiast @WeltklasseZH | Casual Kaggler @kaggle
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Do you work with #rstats and #geodata? A new version of {swissgd}, a #rstats wrapper around the services of @swiss_geoportal is available for testing: ➡️ github.com/zumbov2/swissgd @swisstopo @opendataswiss @OpendataCH
hey #rstats community, @SwissAthletics is looking for a sports/data scientist…do you know someone who might be interested? #onyourmarks
Swiss Athletics sucht eine Sportwissenschaftlerin/einen Sportwissenschaftler. Alle Infos findest du in der Stellen-Ausschreibung! Swiss Athletics cherche une/un scientifique du sport. Tu trouves toutes les informations dans l'offre d'emploi ! swissathletics.ch/38P6grw 📸@AthletixC
Palindromic place names in Switzerland 🇨🇭 Of the over 35,000 official place names in the #swissNAMES3D dataset, (only) 13 are palindromes. Idea by @dgplacenames, found at @_ansgar Data: geo.admin.ch Created in #rstats
Christmas spirit sprinkled with a little bit of 8-bit, a large portion of #tidyverse, spiced up with some ffmpeg magic and voilà: 🎄#rstats
Wir wünschen frohe Festtage und einen guten Rutsch ins neue Jahr! 🎄🎄 Und so ist er entstanden, unser Weihnachtsbaum: github.com/zumbov2/Christ…
Und schliesslich wird @DavidZumbach für sein Werk “«Land doesn't vote, people do.» – Evidence from Switzerland!” mit den #PrixCarto Anerkennungspreis ausgezeichnet. Herzliche Gratulation!
@DavidZumbach @rastrau here is my humble try to port swissparl to Python: github.com/metaodi/swissp…
Sollen sich Sportlerinnen und Sportler zu politischen Themen äussern? – Ein spannender Artikel in der heutigen @sonntagszeitung zu einem überraschend kontroversen Thema mit unserem @RanGrue als Experte. #sport #politk #schweiz tagesanzeiger.ch/wie-politisch-…
Dank geht an @DavidZumbach für seine Hilfe und sein tolles Swissparl-Package 👏 #RStats #ddj github.com/zumbov2/swissp…
Seit nun 7 Wochen läuft die #Migros-Förderaktion «Support your Sport», bei der Schweizer Sportvereine durch das Sammeln von Vereinsbons an CHF 3 Mio. partizipieren können. Wir haben die neuesten Zahlen angeschaut und wagen eine erste kleine Hochrechnung. gfzb.ch/data/migros-sp…
Playing around with the fantastic and free geodata from @swiss_geoportal Spatial kernel smoothing of ~40k geo-ref'd place names. BTW, {swissgd} an #rstats wrapper around the services is now ready to be tested: ➡️ github.com/zumbov2/swissgd @swisstopo @opendataswiss @OpendataCH
{swissdd} 1.1.1 is out. Thanks to a major contribution by @DavidZumbach the package now contains built in functions to create vote result maps based on geodata for administrative boundaries provided by @StatSchweiz 1/3 politanch.github.io/swissdd/ #rstats #OpenData
Do Switzerland's staggered ⛷ vacations qualify as a natural experiment to investigate the effect of school closures on the spread of #COVID19? Asking for a friend. 😉@marcelsalathe @C_Althaus @SwissScience_TF
A positive impact of 2020? Our @giourugg picks👇 Flaws of choropleth maps were in the spotlight after US elections, as "land doesn't vote, people do". Visual explainer of perception distortion when used on raw data: twitter.com/DavidZumbach/s… #dataviz #learningwithexts
Don't trust choropleth maps. Evidence from Switzerland! 😉 #RStats Shout-outs to @thomasp85 for {transformr}/{particles}, @hadleywickham et al. for {ggplot2}/{dplyr}, @edzerpebesma for {sf}, @politan_ch for {swissdd} and @hrbrmstr for {hrbrthemes}. ➡️ github.com/zumbov2/votema…
Kicking off another year of my #rstats adventures with a brand new @rweekly_org Highlights podcast! 📦 Data science in a box @minebocek 🏃 Up and running with #blogdown in 2021 @apreshill 🇨🇭 version of voting visualization @DavidZumbach Enjoy the episode 👇!
The first #rstats R-Weekly Highlights podcast of 2021 hosted by @theRcast is now live! Listen using the player below and don't forget to subscribe for future episodes. share.fireside.fm/episode/87RSVe…
I couldn't agree more. Beautifully executed demonstration of how choropleth maps can lead to wrong interpretations.
Don't trust choropleth maps. Evidence from Switzerland! 😉 #RStats Shout-outs to @thomasp85 for {transformr}/{particles}, @hadleywickham et al. for {ggplot2}/{dplyr}, @edzerpebesma for {sf}, @politan_ch for {swissdd} and @hrbrmstr for {hrbrthemes}. ➡️ github.com/zumbov2/votema…
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adminR: R in Swiss Official Statistics
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SLDS / Bernd Bischl
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