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Mastering Clojure Data Analysis

You're reading from  Mastering Clojure Data Analysis

Product type Book
Published in May 2014
Publisher
ISBN-13 9781783284139
Pages 340 pages
Edition 1st Edition
Languages
Author (1):
Eric Richard Rochester Eric Richard Rochester
Profile icon Eric Richard Rochester

Table of Contents (17) Chapters

Mastering Clojure Data Analysis
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Network Analysis – The Six Degrees of Kevin Bacon 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

Mapping the climate change


So, let's roll up our sleeves and perform some geospatially informed data analysis.

For our problem, we'll look at how the climate change affects the continental United States over the last century or so. Specifically, we'll look at how the average maximum temperature for July has changed. For North America, this should give us a good snapshot of the hottest temperatures.

One nice thing about working with the weather data is that there's a lot of it, and it's easily available. US National Oceanic and Atmospheric Administration (NOAA) collects it and maintains archives of it.

For this project, we'll use the Global Summary of the Day (http://www.ncdc.noaa.gov/cgi-bin/res40.pl). This includes daily summaries from each active weather station. We'll filter out any weather stations that aren't in the US, and we'll filter out any data that is not in use for the month of July.

Climate is typically defined on thirty-year periods. For example, the climate for a location would...

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