ofTutorial (full day)
Data Visualization for the Web
The purpose of data visualization is to gain and share insights into trends an patterns hidden in data (e.g. numeric values traditionally stored in tables, databases, or social networks), by making these visually more explicit to viewers and readers. Visualization enables scientists, business analysts, economists, journalists, etc., to turn large and complex sets of raw and modeled data into simple, familiar graphics that most people can understand, interact with, and share—typically online.
While there are increasingly numerous “off the shelf” software products available for producing standard charts (e.g., Tableau, Power BI, or Qlik Sense), practitioners in the aforementioned fields and industries are often confronted with their limited expressivity. Furthermore, despite those software products allow publication on the web of charts, they do not fully leverage the possibilities of combining presentation standards (e.g HTML, SVG) with data-related W3C standards (e.g Semantic Web, XML, RDF).