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The Python Workshop

You're reading from   The Python Workshop Learn to code in Python and kickstart your career in software development or data science

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781839218859
Length 608 pages
Edition 1st Edition
Languages
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Authors (6):
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Andrew Bird Andrew Bird
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Andrew Bird
Graham Lee Graham Lee
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Graham Lee
Corey Wade Corey Wade
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Corey Wade
Dr. Lau Cher Han Dr. Lau Cher Han
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Dr. Lau Cher Han
Olivier Pons Olivier Pons
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Olivier Pons
Mario Corchero Jiménez Mario Corchero Jiménez
Author Profile Icon Mario Corchero Jiménez
Mario Corchero Jiménez
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Table of Contents (13) Chapters Close

Preface 1. Vital Python – Math, Strings, Conditionals, and Loops FREE CHAPTER 2. Python Structures 3. Executing Python – Programs, Algorithms, and Functions 4. Extending Python, Files, Errors, and Graphs 5. Constructing Python – Classes and Methods 6. The Standard Library 7. Becoming Pythonic 8. Software Development 9. Practical Python – Advanced Topics 10. Data Analytics with pandas and NumPy 11. Machine Learning Appendix

The Don'ts of Plotting Graphs

In newspapers, blogs, or social media there are a lot of misleading graphs that make people misunderstand the actual data. You will be going through some of these examples and learn how to avoid them.

Manipulating the Axis

Imagine you have three students with three different scores from an exam. Now, you have to plot their scores on a bar chart. There are two ways to do this: the misleading way, and the right way:

Figure 4.23: Chart A (starts from 80) and Chart B (starts from 0)

Looking at Chart A, it will be interpreted that the score of student A is about 10 times higher than student B and student C. However, that is not the case. The scores for the students are 96, 81, and 80, respectively. Chart A is misleading because the y-axis ranges from 80 to 100. The correct y-axis should range from 0 to 100, as in Chart B. This is simply because the minimum score a student can get is 0, and the maximum score a student can...

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