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Index
Title Page
Copyright and Credits
Getting Started with Haskell Data Analysis
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Contributors
About the author
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Preface
Who this book is for
What this book covers
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Download the example code files
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Conventions used
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Reviews
Descriptive Statistics
The CSV library – working with CSV files
Data range
Data mean and standard deviation
Data median
Data mode
Summary
SQLite3
SQLite3 command line
Working with SQLite3 and Haskell
Slices of data
Working with SQLite3 and descriptive statistics
Summary
Regular Expressions
Dots and pipes
Atom and Atom modifiers
Character classes
Regular expressions in CSV files
SQLite3 and regular expressions
Summary
Visualizations
Line plots of a single variable
Plotting a moving average
Creating publication-ready plots
Feature scaling
Scatter plots
Summary
Kernel Density Estimation
The central limit theorem
Normal distribution
Introducing kernel density estimation
Application of the KDE
Summary
Course Review
Converting CSV variation files into SQLite3
Using SQLite3 SELECT and the DescriptiveStats module for descriptive statistics
Creating compelling visualizations using EasyPlot
Reintroducing kernel density estimation
Summary
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