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Python Data Analysis, Second Edition

You're reading from   Python Data Analysis, Second Edition Data manipulation and complex data analysis with Python

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787127487
Length 330 pages
Edition 2nd Edition
Languages
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Author (1):
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Ivan Idris Ivan Idris
Author Profile Icon Ivan Idris
Ivan Idris
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Table of Contents (16) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. The Pandas Primer 4. Statistics and Linear Algebra 5. Retrieving, Processing, and Storing Data 6. Data Visualization 7. Signal Processing and Time Series 8. Working with Databases 9. Analyzing Textual Data and Social Media 10. Predictive Analytics and Machine Learning 11. Environments Outside the Python Ecosystem and Cloud Computing 12. Performance Tuning, Profiling, and Concurrency A. Key Concepts
B. Useful Functions C. Online Resources

Scatter plots


A scatter plot shows the relationship between two variables in a Cartesian coordinate system. The position of each data point is determined by the values of these two variables. The scatter plot can provide hints of any correlation between the variables under study. An upward trending pattern suggests positive correlation. A bubble chart is an extension of the scatter plot. In a bubble chart, the value of a third variable is represented by the relative size of the bubble surrounding a data point, hence the name.

At http://en.wikipedia.org/wiki/Transistor_count#GPUs, there is a table with transistor counts for Graphical Processor Units (GPUs).

GPUs are specialized circuits used to display graphics efficiently. Because of the way modern display hardware works, GPUs can process data with highly parallel operations. GPUs are a new development in computing. In the gpu_transcount.csv file in this book's code bundle, you will notice that we don't have many data points. Dealing with...

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