Our expert, who has already led two series of the workshop, explains that although the groups worked in accordance with a standard data science model, including data acquisition, exploration, processing, visualisation/presentation of information, the unique nature and value of the data set has made the task a very interesting challenge indeed.
Not only is the declared cultural participation data for Katowice public, but it is also organic and grassroots based and thus reflecting the different kinds of ways residents get involved in culture. Careful analysis of this data analysis can lead to some relevant and non-obvious conclusions. The workshop saw four interdisciplinary teams develop several analysis and visualisation tools based on the same data set”, said Piotr Migdał.
One of the teams, having filtered data on event dates and times, was able to discover some common event organisation patterns. As it turned out, most events start between 6pm and 7pm on Thursdays and Fridays, although Saturday mornings were popular too (the following visualisation is a prototype that will be further developed in the coming weeks; the data covers several thousand events posted on Facebook since 2013).