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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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Toc

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

Creating time series charts with D3

So far in this chapter, all the charts that we've created have used a utility library, NVD3, to do a lot of heavy lifting for us. However, we can also create a lot of these charts directly with D3. We'll see how to do this to use graphs with time series data.

Getting ready

We'll use the same dependencies and plugins in our project.clj file as we did in the Creating scatter plots with NVD3 recipe. Also, we'll use the framework we created in the recipes in this chapter upto the Creating scatter plots with NVD3 recipe.

For data, we'll use IBM's stock prices from the end of November 2001 to November 2012. You can download this dataset from http://www.ericrochester.com/clj-data-analysis/data/ibm.csv. Save the file into resources/data/ibm.csv.

How to do it…

Our procedure will largely follow the pattern that we've established in the previous recipes. However, we'll also redefine some functions to make sure that we don...

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