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Clojure Data Analysis Cookbook - Second Edition电子书

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作       者:Eric Rochester

出  版  社:Packt Publishing

出版时间:2015-01-27

字       数:214.4万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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This book is for those with a basic knowledge of Clojure, who are looking to push the language to excel with data analysis.
目录展开

Clojure Data Analysis Cookbook Second Edition

Table of Contents

Clojure Data Analysis Cookbook Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Downloading the color images of this book

Errata

Piracy

Questions

1. Importing Data for Analysis

Introduction

Creating a new project

Getting ready

How to do it...

How it works...

Reading CSV data into Incanter datasets

Getting ready

How to do it…

How it works…

There's more…

Reading JSON data into Incanter datasets

Getting ready

How to do it…

How it works…

Reading data from Excel with Incanter

Getting ready

How to do it…

How it works…

Reading data from JDBC databases

Getting ready

How to do it…

How it works…

See also

Reading XML data into Incanter datasets

Getting ready

How to do it…

How it works…

There's more…

Navigating structures with zippers

Processing in a pipeline

Comparing XML and JSON

Scraping data from tables in web pages

Getting ready

How to do it…

How it works…

See also

Scraping textual data from web pages

Getting ready

How to do it…

How it works…

Reading RDF data

Getting ready

How to do it…

How it works…

See also

Querying RDF data with SPARQL

Getting ready

How to do it…

How it works…

There's more…

Aggregating data from different formats

Getting ready

How to do it…

Creating the triple store

Scraping exchange rates

Loading currency data and tying it all together

How it works…

See also

2. Cleaning and Validating Data

Introduction

Cleaning data with regular expressions

Getting ready

How to do it…

How it works…

There's more...

See also

Maintaining consistency with synonym maps

Getting ready

How to do it…

How it works…

See also

Identifying and removing duplicate data

Getting ready

How to do it…

How it works…

There's more…

Regularizing numbers

Getting ready

How to do it…

How it works…

Calculating relative values

Getting ready

How to do it…

How it works…

Parsing dates and times

Getting ready

How to do it…

There's more…

Lazily processing very large data sets

Getting ready

How to do it…

How it works…

Sampling from very large data sets

Getting ready

How to do it…

Sampling by percentage

Sampling exactly

How it works…

Fixing spelling errors

Getting ready

How to do it…

How it works…

There's more…

Parsing custom data formats

Getting ready

How to do it…

How it works…

Validating data with Valip

Getting ready

How to do it…

How it works…

3. Managing Complexity with Concurrent Programming

Introduction

Managing program complexity with STM

Getting ready

How to do it…

How it works…

See also

Managing program complexity with agents

Getting ready

How to do it…

How it works…

See also

Getting better performance with commute

Getting ready

How to do it…

How it works…

Combining agents and STM

Getting ready

How to do it…

How it works…

Maintaining consistency with ensure

Getting ready

How to do it…

How it works…

Introducing safe side effects into the STM

Getting ready

How to do it…

Maintaining data consistency with validators

Getting ready

How to do it…

How it works…

See also

Monitoring processing with watchers

Getting ready

How to do it…

How it works…

Debugging concurrent programs with watchers

Getting ready

How to do it…

There's more...

Recovering from errors in agents

How to do it…

Failing on errors

Continuing on errors

Using a custom error handler

There's more...

Managing large inputs with sized queues

How to do it…

How it works...

4. Improving Performance with Parallel Programming

Introduction

Parallelizing processing with pmap

How to do it…

How it works…

There's more…

See also

Parallelizing processing with Incanter

Getting ready

How to do it…

How it works…

Partitioning Monte Carlo simulations for better pmap performance

Getting ready

How to do it…

How it works…

Estimating with Monte Carlo simulations

Chunking data for pmap

Finding the optimal partition size with simulated annealing

Getting ready

How to do it…

How it works…

There's more…

Combining function calls with reducers

Getting ready

How to do it…

What happened here?

There's more...

See also

Parallelizing with reducers

Getting ready

How to do it…

How it works…

See also

Generating online summary statistics for data streams with reducers

Getting ready

How to do it…

Using type hints

Getting ready

How to do it…

How it works…

See also

Benchmarking with Criterium

Getting ready

How to do it…

How it works…

See also

5. Distributed Data Processing with Cascalog

Introduction

Initializing Cascalog and Hadoop for distributed processing

Getting ready

How to do it…

How it works…

See also

Querying data with Cascalog

Getting ready

How to do it…

How it works…

There's more

Distributing data with Apache HDFS

Getting ready

How to do it…

How it works…

Parsing CSV files with Cascalog

Getting ready

How to do it…

How it works…

There's more

Executing complex queries with Cascalog

Getting ready

How to do it…

Aggregating data with Cascalog

Getting ready

How to do it…

There's more

Defining new Cascalog operators

Getting ready

How to do it…

Creating map operators

Creating map concatenation operators

Creating filter operators

Creating buffer operators

Creating aggregate operators

Creating parallel aggregate operators

Composing Cascalog queries

Getting ready

How to do it…

How it works…

Transforming data with Cascalog

Getting ready

How to do it…

How it works…

6. Working with Incanter Datasets

Introduction

Loading Incanter's sample datasets

Getting ready

How to do it…

How it works…

There's more...

Loading Clojure data structures into datasets

Getting ready

How to do it…

How it works…

See also…

Viewing datasets interactively with view

Getting ready

How to do it…

How it works…

See also…

Converting datasets to matrices

Getting ready

How to do it…

How it works…

There's more…

See also…

Using infix formulas in Incanter

Getting ready

How to do it…

How it works…

Selecting columns with $

Getting ready

How to do it…

How it works…

There's more…

See also…

Selecting rows with $

Getting ready

How to do it…

How it works…

Filtering datasets with $where

Getting ready

How to do it…

How it works…

There's more…

Grouping data with $group-by

Getting ready

How to do it…

How it works…

Saving datasets to CSV and JSON

Getting ready

How to do it…

Saving data as CSV

Saving data as JSON

How it works…

See also…

Projecting from multiple datasets with $join

Getting ready

How to do it…

How it works…

7. Statistical Data Analysis with Incanter

Introduction

Generating summary statistics with $rollup

Getting ready

How to do it…

How it works…

Working with changes in values

Getting ready

How to do it…

How it works…

Scaling variables to simplify variable relationships

Getting ready

How to do it…

How it works…

Working with time series data with Incanter Zoo

Getting ready

How to do it…

There's more...

Smoothing variables to decrease variation

Getting ready

How to do it…

How it works…

Validating sample statistics with bootstrapping

Getting ready

How to do it…

How it works…

There's more…

Modeling linear relationships

Getting ready

How to do it…

How it works…

Modeling non-linear relationships

Getting ready

How to do it…

How it works...

Modeling multinomial Bayesian distributions

Getting ready

How to do it…

How it works…

There's more...

Finding data errors with Benford's law

Getting ready

How to do it…

How it works…

There's more…

8. Working with Mathematica and R

Introduction

Setting up Mathematica to talk to Clojuratica for Mac OS X and Linux

Getting ready

How to do it…

How it works…

There's more…

Setting up Mathematica to talk to Clojuratica for Windows

Getting ready

How to do it...

How it works...

Calling Mathematica functions from Clojuratica

Getting ready

How to do it…

How it works…

Sending matrixes to Mathematica from Clojuratica

Getting ready

How to do it…

How it works…

Evaluating Mathematica scripts from Clojuratica

Getting ready

How to do it…

How it works…

Creating functions from Mathematica

Getting ready

How to do it…

How it works…

Setting up R to talk to Clojure

Getting ready

How to do it…

Setting up R

Setting up Clojure

How it works…

Calling R functions from Clojure

Getting ready

How to do it…

How it works…

There's more…

Passing vectors into R

Getting ready

How to do it…

How it works…

Evaluating R files from Clojure

Getting ready

How to do it…

How it works…

There's more…

Plotting in R from Clojure

Getting ready

How to do it…

How it works…

There's more…

9. Clustering, Classifying, and Working with Weka

Introduction

Loading CSV and ARFF files into Weka

Getting ready

How to do it…

How it works…

There's more…

See also…

Filtering, renaming, and deleting columns in Weka datasets

Getting ready

How to do it…

Renaming columns

Removing columns

Hiding columns

How it works…

Discovering groups of data using K-Means clustering

Getting ready

How to do it…

How it works…

Clustering with K-Means

Analyzing the results

Building macros

See also…

Finding hierarchical clusters in Weka

Getting ready

How to do it…

How it works…

There's more…

Clustering with SOMs in Incanter

Getting ready

How to do it…

How it works…

There's more…

Classifying data with decision trees

Getting ready

How to do it…

How it works…

There's more…

Classifying data with the Naive Bayesian classifier

Getting ready

How to do it…

How it works…

There's more…

Classifying data with support vector machines

Getting ready

How to do it…

There's more…

Finding associations in data with the Apriori algorithm

Getting ready

How to do it…

How it works…

There's more…

10. Working with Unstructured and Textual Data

Introduction

Tokenizing text

Getting ready

How to do it…

How it works…

Finding sentences

Getting ready

How to do it…

How it works…

Focusing on content words with stoplists

Getting ready

How to do it…

Getting document frequencies

Getting ready

How to do it…

Scaling document frequencies by document size

Getting ready

How to do it…

How it works…

Scaling document frequencies with TF-IDF

Getting ready

How to do it…

How it works…

Finding people, places, and things with Named Entity Recognition

Getting ready

How to do it…

How it works…

Mapping documents to a sparse vector space representation

Getting ready…

How to do it…

Performing topic modeling with MALLET

Getting ready

How to do it…

How it works…

See also…

Performing naïve Bayesian classification with MALLET

Getting ready

How to do it…

How it works…

There's more…

See also…

11. Graphing in Incanter

Introduction

Creating scatter plots with Incanter

Getting ready

How to do it...

How it works...

There's more...

See also

Graphing non-numeric data in bar charts

Getting ready

How to do it...

How it works...

Creating histograms with Incanter

Getting ready

How to do it...

How it works...

Creating function plots with Incanter

Getting ready

How to do it...

How it works...

See also

Adding equations to Incanter charts

Getting ready

How to do it...

There's more...

Adding lines to scatter charts

Getting ready

How to do it...

How it works...

See also

Customizing charts with JFreeChart

Getting ready

How to do it...

How it works...

See also

Customizing chart colors and styles

Getting ready

How to do it...

Saving Incanter graphs to PNG

Getting ready

How to do it...

How it works...

Using PCA to graph multi-dimensional data

Getting ready

How to do it...

How it works...

There's more...

Creating dynamic charts with Incanter

Getting ready

How to do it...

How it works...

12. Creating Charts for the Web

Introduction

Serving data with Ring and Compojure

Getting ready

How to do it…

Configuring and setting up the web application

Serving data

Defining routes and handlers

Running the server

How it works…

There's more…

Creating HTML with Hiccup

Getting ready

How to do it…

How it works…

There's more…

Setting up to use ClojureScript

Getting ready

How to do it…

How it works…

There's more…

Creating scatter plots with NVD3

Getting ready

How to do it…

How it works…

There's more…

Creating bar charts with NVD3

Getting ready

How to do it…

How it works…

Creating histograms with NVD3

Getting ready

How to do it…

How it works…

Creating time series charts with D3

Getting ready

How to do it…

How it works…

There's more…

Visualizing graphs with force-directed layouts

Getting ready

How to do it…

How it works…

There's more…

Creating interactive visualizations with D3

Getting ready

How to do it…

How it works…

There's more…

Index

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