Data visualization

Syllabus: 

Introduction to the possibilities of graphical representation from different types of data. Study of Time Series graphic representation solutions, Geo-referenced data, Categorical data and Networks. Use of visual analysis tools and rudiments for implementing information visualization solutions.

Bibliography

Mandatory: 

  • Stephen Few, “Show me the numbers”
  • Andy Kirk, “Data Visualization: A successful Design Process ”, PACKT
  • Bem Fry, “Visualizing Data”, O´REILLY

Complementary: 

  • Stephen Few, “Now you see it”,
  • Edward R. Tufte, “The Visual Display of Quantitative Information”, Graphics Press
  • Julia Steele & Noah Iliinsky, “Beautiful Visualization”, O’Reilly
  • Hadley Wickham, “ggplot2 : elegant graphics for data analysis”, Springer
  • Matthew Ward, Georges Grinstein, Daniel Keim, “Interactive Data Visualization: Foundations Techniques, and Applications”, AKPeters