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In this session, we will explore how to produce clear, informative charts, graphs, and plots with [http://matplotlib.org/ Matplotlib], the most popular toolkit for scientific data visualization in Python. | In this session, we will explore how to produce clear, informative charts, graphs, and plots with [http://matplotlib.org/ Matplotlib], the most popular toolkit for scientific data visualization in Python. | ||
We'll start with the data-set created [ | We'll start with the data-set created [http://wiki.communitydata.cc/Community_Data_Science_Workshops_(Fall_2015)/Day_3_Lecture this morning] containing information about edits to the Harry Potter Wikipedia article. | ||
We will then proceed to visualize different aspects of data from the [ | We will then proceed to visualize different aspects of data from the [http://wiki.communitydata.cc/Community_Data_Science_Workshops_(Fall_2015)/Day_2_Projects/Socrata Socrata web API]. | ||