====== Data Visualization ======

===== Lecture ======

{{:wiki:datavis:visualization_intro.pdf|Slides}}

{{:wiki:datavis:vis_handout.pdf|Lecture notes}}

===== Tutorial ======

{{:wiki:datavis:exercises.html|Exercises}}

==== Datasets ====

(please change the extension to csv after downloading)

{{:wiki:datavis:data:olympics.txt|}}

{{:wiki:datavis:data:country_aligned.txt|}}

==== Solutions ====

(please use the solutions only if you really do not know where to go)

{{:wiki:datavis:olympics.py|Olympic Games}}

{{:wiki:datavis:3d_visualization.py|3D visualization: Exercises 1-2}}

{{:wiki:datavis:charges.py|3D visualization: Exercise 3}}


===== Recommended reading ======

[[http://www.aosabook.org/en/matplotlib.html|matplotlib in "The Architecture of Open Source Applications"]]

[[http://webloria.loria.fr/~rougier/teaching/matplotlib/|matplotlib tutorial]]

===== License ======

All materials for this lecture may be freely distributed, re-used and modified provided that you share your derivative work on the same condition and attribute the author of the original (Bartosz Telenczuk, bartosz.telenczuk(at)gmail.com) in accordance with the [[http://creativecommons.org/licenses/by-sa/3.0/|Creative-Commons Attribution-ShareAlike]] license.

If you re-use the materials, I will be very grateful for the copy of your revised work.