This is a sample script showing how open data datasets from the Vienna’s Open Data portal can be analysed and visualized using Jupyter Notebooks. We take the dog statistics data in Vienna as a sample use case to demonstrate common approaches to analysing open data. This is a first part of our data story, in which we focus on data loading and pre-processing.
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Bird’s-Eye View upon the Austrian Open Data Landscape with wordcloud
To get a grasp of the content available from the Austrian Open Data portals (data.gv.at and opendataportal.at) we generated two word clouds separately for each of the portals. We retrieved the metadata through the WU’s Open Data Portal Watch API and processed all the dataset titles using wordcloud.
Here is the visualization of the total 2,297 (as of 31 December 2016) dataset titles at data.gv.at :
The 373 titles from the independent Austrian Open Data portal opendataportal.at look as follows.
Check out our open source code on GitHub and stay tuned for further updates!
About the project: The CommuniData project aims to bring Open Data closer to local communities, i.e. enhance usability of Open Data and its accessibility for non-expert users. CommuniData is a cooperation between the WU Vienna, the companies cbased and webLyzard, and the Urban Renewal Office of the Vienna’s Second District. It is supported by the Austrian Research Promotion Agency FFG.