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Clojure for Data Science

You're reading from   Clojure for Data Science Statistics, big data, and machine learning for Clojure programmers

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781784397180
Length 608 pages
Edition 1st Edition
Languages
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Author (1):
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Henry Garner Henry Garner
Author Profile Icon Henry Garner
Henry Garner
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Toc

Table of Contents (12) Chapters Close

Preface 1. Statistics FREE CHAPTER 2. Inference 3. Correlation 4. Classification 5. Big Data 6. Clustering 7. Recommender Systems 8. Network Analysis 9. Time Series 10. Visualization Index

About the data

This chapter will make use of two datasets that come pre-installed with Incanter: the Longley dataset, which contains data on seven economic variables measured in the United States between the years 1947 to 1962, and the Airline dataset, which contains the monthly total airline passengers from January 1949 to December 1960.

Note

You can download the source code for this chapter from https://github.com/clojuredatascience/ch9-time-series.

The Airline dataset is where we will spend most of our time in this chapter, but first let's look at the Longley dataset. It contains columns including the gross domestic product (GDP), the number of employed and unemployed people, the population, and the size of the armed forces. It's a classic dataset for analyzing multicollinearity since many of the predictors are themselves correlated. This won't affect the analysis we're performing since we'll only be using one of the predictors at a time.

Loading the Longley data...

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