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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

Filtering datasets with $where


While we can filter datasets before we import them into Incanter, Incanter makes it easy to filter and create new datasets from the existing ones. We'll take a look at its query language in this recipe.

Getting ready

We'll use the same dependencies, imports, and data as we did in the Selecting columns with $ recipe.

How to do it…

Once we have the data, we query it using the $where function:

  1. For example, this creates a dataset with a row for the percentage of China's total land area that is used for agriculture:

    user=> (def land-use
             (i/$where {:Indicator-Code "AG.LND.AGRI.ZS"}
                       chn-data))
    user=> (i/nrow land-use)
    1
    user=> (i/$ [:Indicator-Code :2000] land-use)
    ("AG.LND.AGRI.ZS" "56.2891584865366")
  2. The queries can be more complicated too. This expression picks out the data that exists for 1962 by filtering any empty strings in that column:

    user=> (i/$ (range 5) [:Indicator-Code :1962]
             (i/$where {:1962 {:ne ""}} chn-data...
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