Attendees were particularly interested in Animaker, the video editing tool, Zapier, the cross-platform integration tool, the “Save emails and attachments” Google add-on, that organises email attachments automatically on Google Drive and Carto DB, a geographic data visualization tool.
Attendees also wanted to know why data vas visualized using points instead of lines and how a person who cleaned data made choices regarding which routes to keep or delete.
Would you believe that a socially relevant, data-driven project can be accomplished without a budget, a big team and full-time staff? The #Velodati project works as an example for such projects.
The Datu Skola’s mission is to facilitate data-driven projects, conducted by journalists and activists, in collaboration with data analysts and programmers.
Participants split into three working groups to brainstorm about next steps for the project.
All groups concluded that it’s useful to combine cycling data with data about public transportation.
It was the final point of #Velodati – a data-driven project that crowdsourced geographic data about cycling mobility in Riga, initiated and conducted by the School of Data Latvian local group (Datu skola).
As a result an interactive online map was created showing the most busy cycling routes and how they overlap with the net of cycle tracks in Riga.
The project took nothing more than three months of one person’s work and 37 euros for posters, that encouraged Riga cyclists to share GPS recordings of their routes during the Riga Cycling Week in May.
This was possible thanks to the open source and freemium tools used to create the crowdsourcing campaign, to clean and to visualize data.