An End to Boring Data with Visualizations

11:15 AM - 12:10 PM on July 17, 2016, Room CR4

Heather Shapiro

Audience level:

intermediate

Watch:

https://www.youtube.com/watch?v=20a5pWawDBc

Description

Put the days of trying to decipher meaning from boring spreadsheets behind you. Visualize data to give greater and immediate meaning to all those numbers with Python. Explore the variety of options available for data visualization in Python using different libraries and understand which ones excel for what type of task. Create maps, statistical graphs and more detailed or interactive visualizations that can also be used on the web, ideal to take that blog post to a whole new level.

Abstract

Put the days of trying to decipher meaning from boring spreadsheets behind you. Visualize data to give greater and immediate meaning to all those numbers with Python. We will explore the variety of options available for data visualization in Python using different libraries and understand which ones excel for what type of task. Create maps, statistical graphs and more detailed or interactive visualizations that can also be used on the web, ideal to take that blog post to a whole new level. We will tackle boring data by looking at python libraries available for mapping such as basemap and folium, statistical graphs from libraries such as matplotlib and seaborn, as well as libraries such as Bokeh and Plotly that can be used for making interactive graphs.