Build Your First Data Visualization with Matplotlib

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Martin Burger

1:08:33

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1. Course Overview

1. Course Overview.mp4

01:38

2. Exploring the Matplotlib Data Visualization Package

1. Introduction- Exploring the Matplotlib Data Visualization Package.mp4

01:22

2. Environment and Dependencies.mp4

05:08

3. Building a Simple Visualization.mp4

06:40

4. Importing the Course Dataset with pandas.mp4

04:17

5. Building a Scatterplot.mp4

05:34

6. Matplotlib Integration in pandas.mp4

04:14

7. Summary.mp4

01:07

3. Modifying a Matplotlib Visualization

1. Introduction- Modifying a Matplotlib Visualization.mp4

01:51

2. Plot Types and the Underlying Calculations.mp4

08:44

3. Shared Axis Plots.mp4

05:14

4. Simple Formatting Techniques.mp4

07:55

5. Applying Ready-made Style Sheets.mp4

02:55

6. Adding Labels and Calculating Their Positions.mp4

03:42

7. Constructing the Layout and Featuring Multiple Plots.mp4

05:46

8. Course Summary.mp4

02:26

Description

Learn how Matplotlib enables you to create clear and compelling data visualizations in Python.

What You'll Learn?

Matplotlib enables users to create clear and compelling data visualizations in Python. In this course, Build Your First Data Visualization with Matplotlib, you’ll learn how one of the most popular packages of Python can be used to create state of the art data visualizations. First, you’ll see how to get an optimal user interface which includes Python, Jupyter Notebook and the required libraries Matplotlib, Pandas and Numpy. Next, you’ll discover the standard code setup in Matplotlib Pyplot and how it can be adjusted. After that, you'll explore how different chart types are created and formatted. As far as formatting is concerned, you'll look at text elements, axes, legends, markers and ready made style sheets, as well as the optimal data preparation steps required for particular data visualization types. Finally, you’ll learn about shared axis plots and sheet layouts which are handy for reports and presentations.. When you’re finished with this course, you’ll have the knowledge to understand the general structure of the Matplotlib library and how it helps you in data analysis.

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Data Visualization

Martin Burger

Instructor's Courses

Martin studied biostatistics and worked for several pharmaceutical companies before he became a data science consultant and author. He published over 15 courses on R, Tableau 9 and other data science related subjects. His main focus lies on analytics software like R and SPSS but he is also interested in modern data visualization tools like Tableau. If he is not busy coding, blogging or working out new teaching concepts you may find him skiing or hiking in the Alps.

Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.