Alex Mirugwe has completed

# Introduction to Data Visualization with Matplotlib

4 hours
3,600 XP

## Course Description

Visualizing data in plots and figures exposes the underlying patterns in the data and provides insights. Good visualizations also help you communicate your data to others, and are useful to data analysts and other consumers of the data. In this course, you will learn how to use Matplotlib, a powerful Python data visualization library. Matplotlib provides the building blocks to create rich visualizations of many different kinds of datasets. You will learn how to create visualizations for different kinds of data and how to customize, automate, and share these visualizations.

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1. 1

### Introduction to Matplotlib

Free

This chapter introduces the Matplotlib visualization library and demonstrates how to use it with data.

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Introduction to data visualization with Matplotlib
50 xp
Using the matplotlib.pyplot interface
100 xp
Adding data to an Axes object
100 xp
50 xp
Customizing data appearance
100 xp
Customizing axis labels and adding titles
100 xp
Small multiples
50 xp
Creating a grid of subplots
50 xp
Creating small multiples with plt.subplots
100 xp
Small multiples with shared y axis
100 xp
2. 2

### Plotting time-series

Time series data is data that is recorded. Visualizing this type of data helps clarify trends and illuminates relationships between data.

3. 3

### Quantitative comparisons and statistical visualizations

Visualizations can be used to compare data in a quantitative manner. This chapter explains several methods for quantitative visualizations.

4. 4

### Sharing visualizations with others

This chapter shows you how to share your visualizations with others: how to save your figures as files, how to adjust their look and feel, and how to automate their creation based on input data.

### GroupTraining 2 or more people?

Datasets

Seattle weatherAustin weatherClimate dataMedals by countryMedalist weights

Collaborators

Ariel Rokem

Senior Data Scientist, University of Washington

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