Lesson 19: Data Visualization with Matplotlib in Python

April 3, 2019

Review:

Intro to Python

Presentation:

Intermediate Python for Data Science
Chapter 1: Matplotlib
- import matplotlib.pyplot as plt
- Line plots
- Scatter plots
- Histograms
- Labels, Axes, Other

Activity:

Complete Chapter 1: Matplotlib
Begin Chapter 2

Assignment:

Complete Chapters 2 and 3 in Intermediate Python for Data Science
- Chapter 2: Dictionaries and Pandas and
- Chapter 3: Logic, Control Flow and Filtering
- Due Mon Apr 8 before 5p

Justin

Justin Holman is CEO of Aftermarket Analytics, where he leads efforts to develop cutting edge sales forecasting and inventory optimization technology for the Automotive Aftermarket. Prior to joining Aftermarket Analytics, Justin managed corporate consulting for the Strategy & Analytics division at MapInfo Corporation, leading major projects for retail clients including The Home Depot, Darden Restaurants, Bridgestone-Firestone, Sainsbury’s and New York & Company. Before that, Justin served as Vice President of Software Development at LogicTools, now part of IBM's supply chain application software group. Justin holds a B.A. from Claremont McKenna College, a Ph.D. from the University of Oregon and an Executive Management certificate from Northwestern University's Kellogg School of Management.

Lesson 19: Data Visualization with Matplotlib in Python

Justin

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