Book Image

Clojure Data Analysis Cookbook

By : Eric Rochester
Book Image

Clojure Data Analysis Cookbook

By: Eric Rochester

Overview of this book

<p>Data is everywhere and it's increasingly important to be able to gain insights that we can act on. Using Clojure for data analysis and collection, this book will show you how to gain fresh insights and perspectives from your data with an essential collection of practical, structured recipes.<br /><br />"The Clojure Data Analysis Cookbook" presents recipes for every stage of the data analysis process. Whether scraping data off a web page, performing data mining, or creating graphs for the web, this book has something for the task at hand.<br /><br />You'll learn how to acquire data, clean it up, and transform it into useful graphs which can then be analyzed and published to the Internet. Coverage includes advanced topics like processing data concurrently, applying powerful statistical techniques like Bayesian modelling, and even data mining algorithms such as K-means clustering, neural networks, and association rules.</p>
Table of Contents (18 chapters)
Clojure Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Graphing non-numeric data in bar charts


Not everything is numeric, and often non-numeric data has to be handled differently, as we saw in the chapter on statistics and the one on data mining. For example, a scatter plot doesn't make much sense unless the data is naturally ordered in some way.

In this recipe, we'll use a bar chart to display how many items have each possible value for a field of categorical data.

Getting ready

We'll use the same dependencies in our project.clj file as we did in the Creating scatter plots with Incanter recipe.

We'll use this set of imports in our script or REPL.

(require '[incanter.core :as i]
         '[incanter.charts :as c]
         '[incanter.io :as iio])

For this chart, we'll use the mushroom dataset from the UCI machine learning archive. The web page with information about this dataset is at http://archive.ics.uci.edu/ml/datasets/Mushroom, and we can download a copy of it with header names directly from http://www.ericrochester.com/clj-data-analysis/data...