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Python Data Analysis

You're reading from   Python Data Analysis Learn how to apply powerful data analysis techniques with popular open source Python modules

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Product type Paperback
Published in Oct 2014
Publisher
ISBN-13 9781783553358
Length 348 pages
Edition 1st Edition
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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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Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started with Python Libraries 2. NumPy Arrays FREE CHAPTER 3. Statistics and Linear Algebra 4. pandas Primer 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
Index

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 for 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 relatively represented by the size of the bubble surrounding a data point, hence the name.

On http://en.wikipedia.org/wiki/Transistor_count#GPUs, there is also 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...

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