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You're reading from  Clojure for Data Science

Product typeBook
Published inSep 2015
Reading LevelIntermediate
Publisher
ISBN-139781784397180
Edition1st Edition
Languages
Clojure
Concepts
Data Analysis
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Author (1)
Henry Garner
Henry Garner
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Henry Garner

Henry Garner is a graduate from the University of Oxford and an experienced developer, CTO, and coach. He started his technical career at Britain's largest telecoms provider, BT, working with a traditional data warehouse infrastructure. As a part of a small team for 3 years, he built sophisticated data models to derive insight from raw data and use web applications to present the results. These applications were used internally by senior executives and operatives to track both business and systems performance. He then went on to co-found Likely, a social media analytics start-up. As the CTO, he set the technical direction, leading to the introduction of an event-based append-only data pipeline modeled after the Lambda architecture. He adopted Clojure in 2011 and led a hybrid team of programmers and data scientists, building content recommendation engines based on collaborative filtering and clustering techniques. He developed a syllabus and copresented a series of evening classes from Likely's offices for professional developers who wanted to learn Clojure. Henry now works with growing businesses, consulting in both a development and technical leadership capacity. He presents regularly at seminars and Clojure meetups in and around London.
Read more about Henry Garner

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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 line of the file. One way...

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Clojure for Data Science
Published in: Sep 2015Publisher: ISBN-13: 9781784397180
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Henry Garner

Henry Garner is a graduate from the University of Oxford and an experienced developer, CTO, and coach. He started his technical career at Britain's largest telecoms provider, BT, working with a traditional data warehouse infrastructure. As a part of a small team for 3 years, he built sophisticated data models to derive insight from raw data and use web applications to present the results. These applications were used internally by senior executives and operatives to track both business and systems performance. He then went on to co-found Likely, a social media analytics start-up. As the CTO, he set the technical direction, leading to the introduction of an event-based append-only data pipeline modeled after the Lambda architecture. He adopted Clojure in 2011 and led a hybrid team of programmers and data scientists, building content recommendation engines based on collaborative filtering and clustering techniques. He developed a syllabus and copresented a series of evening classes from Likely's offices for professional developers who wanted to learn Clojure. Henry now works with growing businesses, consulting in both a development and technical leadership capacity. He presents regularly at seminars and Clojure meetups in and around London.
Read more about Henry Garner

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