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  • Book Overview & Buying Mastering Clojure Data Analysis
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Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

By : Eric Richard Rochester
4.2 (5)
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Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

4.2 (5)
By: Eric Richard Rochester
Buy this Book

Overview of this book

Table of Contents (17 chapters)
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Mastering Clojure Data Analysis
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Mastering Clojure Data Analysis
Credits
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Credits
About the Author
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About the Author
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
Network Analysis – The Six Degrees of Kevin Bacon
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Network Analysis – The Six Degrees of Kevin Bacon
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Analyzing social networks
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Getting the data
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Understanding graphs
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Implementing the graphs
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Measuring social network graphs
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Visualizing the graph
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Summary
2
GIS Analysis – Mapping Climate Change
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GIS Analysis – Mapping Climate Change
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Understanding GIS
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Mapping the climate change
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Working with map projections
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Working with ArcGIS
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Summary
3
Topic Modeling – Changing Concerns in the State of the Union Addresses
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Topic Modeling – Changing Concerns in the State of the Union Addresses
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Understanding data in the State of Union addresses
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Understanding topic modeling
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Preparing for visualizations
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Setting up the project
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Getting the data
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Summary
4
Classifying UFO Sightings
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Classifying UFO Sightings
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Getting the data
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Extracting the data
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Dealing with messy data
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Visualizing UFO data
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Description
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Topic modeling descriptions
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Hoaxes
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Summary
5
Benford's Law – Detecting Natural Progressions of Numbers
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Benford's Law – Detecting Natural Progressions of Numbers
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Learning about Benford's Law
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Failing Benford's Law
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Case studies
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Summary
6
Sentiment Analysis – Categorizing Hotel Reviews
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Sentiment Analysis – Categorizing Hotel Reviews
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Understanding sentiment analysis
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Getting hotel review data
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Exploring the data
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Preparing the data
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Cross-validating the results
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Calculating error rates
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Using the Weka machine learning library
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Running the experiment
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Examining the results
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Improving the results
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Summary
7
Null Hypothesis Tests – Analyzing Crime Data
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Null Hypothesis Tests – Analyzing Crime Data
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Introducing confirmatory data analysis
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Understanding null hypothesis testing
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Understanding burglary rates
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Exploring the data
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Conducting the experiment
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Interpreting the results
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Summary
8
A/B Testing – Statistical Experiments for the Web
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A/B Testing – Statistical Experiments for the Web
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Defining A/B testing
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Conducting an A/B test
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Summary
9
Analyzing Social Data Participation
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Analyzing Social Data Participation
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Setting up the project
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Summary
10
Modeling Stock Data
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Modeling Stock Data
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Learning about financial data analysis
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Setting up the basics
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Getting prepared with data
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Analyzing the text
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Inspecting the stock prices
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Merging text and stock features
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Analyzing both text and stock features together with neural nets
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Predicting the future
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Taking it with a grain of salt
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Summary
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Index
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Index

Visualizing UFO data

We'll spend a good bit of time visualizing the data, and we'll use the same system that we have in the previous chapters: a bit of HTML, a splash of CSS, and a lot of JavaScript, which we'll generate from ClojureScript.

We've already taken care of the configuration for using ClojureScript in the project.clj file that I mentioned earlier. The rest of it involves a couple of more parts:

  • The code to generate the JSON data for the graph. This will be in the src/ufo_data/analysis.clj file. We'll write this code first.

  • An HTML page that loads the JavaScript libraries that we'll use—jQuery (https://jquery.org/) and D3 (http://d3js.org/)—and creates a div container in which to put the graph itself.

  • The source code for the graph. This will include a namespace for utilities in src-cljs/ufo-data/utils.cljs and the main namespace at src-cljs/ufo-data/viz.cljs.

With these prerequisites in place, we can start creating the graph of the frequencies of the different shapes.

First, we need...

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Tech Concepts
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Programming languages
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Mastering Clojure Data Analysis
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