In this talk, you will learn about:

• Fundamental principles of data visualization
  • The Grammar of Graphics
  • Visual hierarchy
  • Data storytelling
• Best practices regarding:
  • Which colors to use
  • Visual comparability
  • Pros/cons of several chart types
  • Context and audience: Adding text and annotations
• The data visualization landscape in Python
  • What libraries exist: matplotlib, plotly, altair etc., including add-ons and lesser-known ones
  • What are their differences and strengths?
  • Which library is suited for which usecase?

Equipped with the knowledge presented in this talk, you will understand why certain charts are more aesthetically pleasing and more effective at conveying information than others. Apply the shown principles, take into account best practices and choose the right tools in Python to create more beautiful and impactful data visualizations.