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Clojure Data Analysis Cookbook - Second Edition

You're reading from   Clojure Data Analysis Cookbook - Second Edition Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781784390297
Length 372 pages
Edition 2nd Edition
Languages
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Author (1):
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Eric Richard Rochester Eric Richard Rochester
Author Profile Icon Eric Richard Rochester
Eric Richard Rochester
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Table of Contents (14) Chapters Close

Preface 1. Importing Data for Analysis FREE CHAPTER 2. Cleaning and Validating Data 3. Managing Complexity with Concurrent Programming 4. Improving Performance with Parallel Programming 5. Distributed Data Processing with Cascalog 6. Working with Incanter Datasets 7. Statistical Data Analysis with Incanter 8. Working with Mathematica and R 9. Clustering, Classifying, and Working with Weka 10. Working with Unstructured and Textual Data 11. Graphing in Incanter 12. Creating Charts for the Web Index

Adding lines to scatter charts

So far, all the recipes in this chapter have only created one type of chart. Incanter also lets us combine chart types. This allows us to add extra information and create a more useful, compelling chart. For instance, showing the interaction between the raw data and the output of a machine learning algorithm is a common use for overlaying lines onto scatter plots.

In this recipe, we'll take the chart from the Creating scatter plots with Incanter recipe and add a line from a linear regression.

Getting ready

We'll use the same dependencies in our project.clj file as we did in Creating scatter plots with Incanter. We'll also use this set of imports in our script or REPL:

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

We'll start with the chart we made in Creating scatter plots with Incanter. We'll keep it assigned to the iris-petal-scatter...

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