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challenges

This repo contains the repositories for Data Visualization Stockholm meetup dataviz challenges. We will strive to publish new challenges here regulary and store the submissions here and in the Data Visualisation Stockholm slack.

All are welcome to participate. Use any tools you like (including pen and paper). Links and images are accepted as submissions.

To submit your viz, post on Twitter with hashtag #sthlmVizChallenge or post in the Data Visualization Stockholm Slack #challenges channel (join the Slack here: https://join.slack.com/t/datavizstockholm/shared_invite/zt-kj9bgi6v-yO0GsOpPffMo~qfDwY6IyQ)

Challenge #3 - Nature vs. nurture?

Election data is sexy, right? Maybe not, but it is an interesting peek into which beliefs people identify with.

This time we will have a look at Stockholm election data but we will explain this data without using the usual suspects, bar charts and choropleth maps. Can you visualise this data using a metaphore from nature? A river of progressives? A tree of conservatives? I am looking forward to seeing what you can come up with!

The data was collected from elections agency for the national elections in Stockholm County (https://en.wikipedia.org/wiki/Stockholm_Municipality) in 2018. The data was filterd and transformed to only show Stockholm County data. (Voting data) https://data.val.se/val/val2018/slutresultat/R/valdistrikt/01/80/3402/index.html (Voting data) https://data.val.se/val/val2018/statistik/index.html#slutligt (Voting district map data, geojson format) https://data.val.se/val/val2018/statistik/index.html#gis

Design constraints: Metaphors - Nature

Dataset: https://github.com/Dataviz-Stockholm/challenges/tree/main/Challenge_three-Elections

Deadline: Thursday 20th 2021

Challenge #2 - The beautiful (data) game

Sports might or might not be your thing, but sports data is so very interesting. Let's try making something beautiful using data from the Swedish top soccer league! Like Zlatan on the pitch, you'll need to adjust your moves to meet the challenge. This month's design constraint is about keeping it small. How creative can you get if you have to make your visualisation fit to 345 x 345 pixels?

The data was collected from Swedish wikipedia pages on Allsvenskan, the top soccer league in Sweden. https://sv.wikipedia.org/wiki/Allsvenskan_(fotboll) https://sv.wikipedia.org/wiki/Fotbollsallsvenskans_maratontabell

Design constraints: Keep the design small, 345px x 345px is the limit.

Dataset: https://github.com/Dataviz-Stockholm/challenges/tree/main/Challenge_two-Beautiful-game

Deadline: Monday March 15th 2021

Challenge #1 - Snow and fire

This challenge is all about snow and heat. The dataset is about the snow depth and temperature in Stockholm and is quite large as it stretches from January 2021 all the way back to the beginning of the 20th century. You can choose to visualise the whole dataset or just parts of it, it is up to you.

The data was collected at a weather station in central Stockholm (Latitud 59.3417, Longitud 18.0549).

Design constraints: Keep the design to black and white.

Dataset: https://github.com/Dataviz-Stockholm/challenges/blob/main/date_temperature_snow.csv

Deadline: Tuesday January 26th 2021

Writeup: Read about the submissions here

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