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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

Downloading the code and data

This chapter makes use of data on individual income by the zip code provided by the U.S. Internal Revenue Service (IRS). The data contains selected income and tax items classified by state, zip code, and income classes.

It's 100 MB in size and can be downloaded from http://www.irs.gov/pub/irs-soi/12zpallagi.csv to the example code's data directory. Since the file contains the IRS Statistics of Income (SoI), we've renamed the file to soi.csv for the examples.

Note

The example code for this chapter is available from the Packt Publishing's website or https://github.com/clojuredatascience/ch5-big-data.

As usual, a script has been provided to download and rename the data for you. It can be run on the command line from within the project directory with:

script/download-data.sh

If you run this, the file will be downloaded and renamed automatically.

Inspecting the data

Once you've downloaded the data, take a look at the column headings in the first...

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