====== Best practices in data visualization ======

===== Lecture =====

Introduction {{:wiki:datavis:visualization_intro.pdf|slides}}, [[http://www.physik.uzh.ch/data/aspp/2_2_Visualization.webm|Lecture Video]]

Matplotlib tutorial (IPython notebook: {{:wiki:datavis:matplotlib_tutorial.html|HTML}}, {{:wiki:datavis:matplotlib_tutorial.ipynb|.ipynb}})


===== Exercises =====

Instructions are on this {{:wiki:datavis:exercises.html|page}}.
  
The archive below contains all files required for the exercises:

{{:datavis.tgz|}}

Please download and unpack using:

  tar xzvf datavis.tgz
  
{{:wiki:datavis:olympics_vis.py|Solution}}
  
===== Additional resources =====

[[http://blogs.nature.com/methagora/2013/07/data-visualization-points-of-view.html|Points of view]] column in Nature Methods

[[http://stackoverflow.com/questions/tagged/matplotlib|Matplotlib tag]] on StackOverflow

Matplotlib [[http://matplotlib.org/users/index.html|User guide]]

Matplotlib [[http://matplotlib.org/examples/index.html|Examples]]

[[http://datastori.es/|Data Stories]] podcast

[[http://colorbrewer2.org|Colorbrewer]]

===== Materials from previous schools =====

[[https://python.g-node.org/python-summerschool-2012/dataviz|Kiel 2012]]

[[https://python.g-node.org/python-summerschool-2011/data_visualization|St Andrews 2011]]

[[https://python.g-node.org/python-autumnschool-2010/materials/visualization|Trento 2010]]