Community Data Science Workshops (Spring 2014)/Saturday May 31st Matplotlib Session: Difference between revisions

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[[File:Wikipedia.png|right|250px]]
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== Visualizing data with Matplotlib and Wiki-bios ==
== Visualizing data with Matplotlib and Wiki-bios ==
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After installing matplotlib, and downloading and unpacking the Wikibios bundle, move into that directory with '''cd'''. You can test your installation by running '''python histograms.py'''. If matplotlib is install correcting, a chart file named '''histograms.pdf''' will appear in the current directory.
After installing matplotlib, and downloading and unpacking the Wikibios bundle, move into that directory with '''cd'''. You can test your installation by running '''python histograms.py'''. If matplotlib is install correcting, a chart file named '''histograms.pdf''' will appear in the current directory.


[http://mako.cc/teaching/2014/cdsw/wikibios.zip Wikibios bundle for all platforms]
TODO(mako): Add download links here.


=== Example topics to cover in Lecture ===
=== Example topics to cover in Lecture ===

⚫
[[File:Matplotlib-hist2d.png|right|500px]]


* line charts
* line charts
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* axis labeling
* axis labeling
* legends
* legends

⚫
[[File:Wikipedia.png|right|250px]]

Revision as of 17:00, 31 May 2014

Visualizing data with Matplotlib and Wiki-bios

In this project, we will explore how to produce clear, informative charts, graphs, and plots with Matplotlib, the most popular toolkit for scientific data visualization in Python.

We'll be focusing on a dataset drawn from Wikipedia and dbPedia, containing the names, birth dates, genders, article creation dates, and number of edits, of over 180,000 Wikipedia biography articles.

Goals

  • Get set up to make graphs with Matplotlib
  • Learn the basics of the Matplotlib API and workflow
  • Practice reading the Matplotlib documentation
  • Build a plotting program step by step
  • Learn simple ways to distill the essence of a large data set
  • Explore the art of visualizing data
  • Exercise your creativity by making your own visualization

Prerequisites

In addition to Python and a text editor, you must also download and install the appropriate matplotlib version for your system, which is available here.

Download and test the Matplotlib-with-Wiki-bios project

(Estimated time: 10 minutes)

After installing matplotlib, and downloading and unpacking the Wikibios bundle, move into that directory with cd. You can test your installation by running python histograms.py. If matplotlib is install correcting, a chart file named histograms.pdf will appear in the current directory.

Wikibios bundle for all platforms

Example topics to cover in Lecture

  • line charts
  • histograms
  • binning
  • scatter plots
  • heat maps
  • axis labeling
  • legends
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