We got together yesterday at the headquarters of Nothing Interactive for the inaugural School of Data arts (SoDa) workshop. Many thanks to the participants for coming out / dialing in on a rainy Friday to buckle down and launch the first in a series of data expeditions.
In the morning we got to know each other, discussed ideas and datasets, looked at a bunch of inspiring links. You'll find a glimpse of this in the gallery and links log. This was a first in-person working session to flesh out the ideas we've been circulating for months around the launching of a data literacy initiative. We then got on with beta testing the concept.
Since May the 1st is traditionally a day for exchanging flowers as a token of good will, and in more recent times an occasion to discuss economic well being, it was suggested we look at statistics from the flower industry. From economic indicators extracted using STAT-TAB, a tool of the National Statistics Office, we created a Data Package, and with data from the national pilot Open Data portal and LibreOffice Calc worked out the per capita per canton employment of the Swiss flower industry (shops and growers), the colourful chart of which we then published on Plot.ly and all sources to GitHub: https://github.com/SoDaCaMp/workshops-2015
Along the way we learned how to use a spreadsheet as a simple database, cleaned up and reorganised tabular data, read into the nuances of data publishing standards, and used simple statistics to create an interesting conclusion: there are almost twice as many people per capita working in flowers in the small cantons of Schwyz and Zug, as in the larger cantons of Geneva and Wallis. With more detailed data we might ask what impact mountainous geography has on flower growers, or if there are sociopolitical factors correlating with the preponderance of flower-related services. We parted in the afternoon leaving the task to animate this graph and adding blooms for homework.
More detailed tutorials along the lines of what we were working on could be found on the School of Data blog, e.g. UK and US video game magazines. We are now collecting links and ideas and developing web resources to serve as wayposts to learning.
Next workshop will be at the Open Research Hackdays in Lausanne.
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