Description
PyData SF 2016
Visualization is an essential method in any data scientist’s toolbox. Visualization is a key first step in the exploration of most data sets. Visualization is also a powerful tool for presentation of results and for determining sources of problems with analytics. This tutorial introduces attendees to the most commonly used Python visualization packages, matplotlib, pandas plotting and seaborn.
Visualization of complex real-world datasets presents a number of challenges to data scientists. By developing skills in data visualization, data scientist can confidently explore and understand the relationships in complex data sets while undertaking analyses
Github: https://github.com/Quantia-Analytics/DyDataSF2016Visualization