Think Stats

Exploratory Data Analysis

by Allen Downey

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Book Description

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.

New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.

Develop an understanding of probability and statistics by writing and testing code; Run experiments to test statistical behavior, such as generating samples from several distributions; Use simulations to understand concepts that are hard to grasp mathematically; Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools; Use statistical inference to answer questions about real-world data.

This open book is licensed under a Creative Commons License (CC BY-NC-SA). You can download Think Stats ebook for free in PDF format (2.8 MB).

Table of Contents

Chapter 1
Exploratory Data Analysis
1
Chapter 2
Distributions
15
Chapter 3
Probability Mass Functions
27
Chapter 4
Cumulative Distribution Functions
39
Chapter 5
Modeling Distributions
49
Chapter 6
Probability Density Functions
65
Chapter 7
Relationships Between Variables
79
Chapter 8
Estimation
91
Chapter 10
Linear Least Squares
117
Chapter 11
Regression
129
Chapter 12
Time Series Analysis
145
Chapter 13
Survival Analysis
165
Chapter 14
Analytic Methods
183

Book Details

Subject
Computer Science
Publisher
O'Reilly Media, Green Tea Press
Published
2014
Pages
264
Edition
2
Language
English
ISBN13
9781491907375
ISBN10
1491907371
ISBN13 Digital
9781491907337
ISBN10 Digital
1491907339
PDF Size
2.8 MB
License
CC BY-NC-SA

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