Browse Library
Sign In Start Free Trial
Close icon Search icon
Account
Browse Library Sign In Start Free Trial

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Mastering Clojure Data Analysis
  • Table Of Contents Toc
Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

By : Eric Richard Rochester
4.2 (5)
Buy this Book
close
close
Mastering Clojure Data Analysis

Mastering Clojure Data Analysis

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

Overview of this book

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

Summary

Over the course of this chapter, we've gotten a hold of some news articles and some stock prices, and we've managed to train a neural network that projects just a little into the future. This is a risky thing to put into production, but we've also outlined what we'd need to learn to do this correctly.

And this is also the end of this book. Thank you for staying with me this far. You've been a great reader. I hope that you've learned something as we've looked at the 10 data analysis projects that we've covered. If programming and data are both eating this world, hopefully you've seen how to have fun with both.

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Mastering Clojure Data Analysis
End of Chapter 10
Next Chapter
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected
Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful
Order Page Read Now

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon