zd123/intro-to-data-viz

This is the introduction to data visualization

#Introduction to Visualizing Data

Today we will cover the basics on how to visualize data in a meaningful manner.
We will mostly be working with the matplotlib python library.

Before class

1. Watch the following documentary regarding Crime in the city of Chicago. http://www.pbs.org/wgbh/pages/frontline/interrupters/#the-interrupters-(graphic-language)

2. Please read the following pages from matplotlib Plotting CookBook. This should take you about 30min.

   • p07 My First Chart
   • p22 Basic Bar
   • p42-46 Colors
   • p71 and p81 Labels
   • p107-108 Figures
   • p114-115 Controlling Axis Range

Libraries you need installed before class**.

Seaborn

http://stanford.edu/~mwaskom/software/seaborn/ $ conda install bokeh $ pip install seaborn

Plotly

https://plot.ly/ https://plot.ly/python/getting-started/ $ pip install plotly $ pip install plotly --upgrade

**Other libraries I just enjoy and are awesome with python.**

Bokeh http://bokeh.pydata.org/

$ conda install bokeh $ pip install bokeh

Python nvD3

Python nvd3 is a d3 wrapper. https://github.com/areski/python-nvd3

$ pip install python-nvd3 $ pip install --upgrade python-nvd3 $ pip uninstall python-nvd3