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Mastering Clojure Data Analysis

You're reading from   Mastering Clojure Data Analysis If you'd like to apply your Clojure skills to performing data analysis, this is the book for you. The example based approach aids fast learning and covers basic to advanced topics. Get deeper into your data.

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Product type Paperback
Published in May 2014
Publisher
ISBN-13 9781783284139
Length 340 pages
Edition Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Toc

Table of Contents (17) Chapters Close

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon FREE CHAPTER 2. GIS Analysis – Mapping Climate Change 3. Topic Modeling – Changing Concerns in the State of the Union Addresses 4. Classifying UFO Sightings 5. Benford's Law – Detecting Natural Progressions of Numbers 6. Sentiment Analysis – Categorizing Hotel Reviews 7. Null Hypothesis Tests – Analyzing Crime Data 8. A/B Testing – Statistical Experiments for the Web 9. Analyzing Social Data Participation 10. Modeling Stock Data Index

Inspecting the stock prices


Now that we have some hold on the textual data, let's turn our attention to the stock prices. Previously, we loaded it from the CSV file using the financial.csv-data/read-stock-prices function. Let's reload that data with the following commands:

user=> (def stock (csvd/read-stock-prices "d/d-1995-2001.csv"))
user=> (count stock)
1263

Let's start with a graph that shows how the closing price has changed over the years:

So the price started in the low 30s, fluctuated a bit, and finished in the low 20s. During that time, there were some periods where it climbed rapidly. Hopefully, we'll be able to capture and predict those changes.

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