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Haskell Data Analysis cookbook

You're reading from   Haskell Data Analysis cookbook Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

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Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
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Toc

Table of Contents (14) Chapters Close

Preface 1. The Hunt for Data FREE CHAPTER 2. Integrity and Inspection 3. The Science of Words 4. Data Hashing 5. The Dance with Trees 6. Graph Fundamentals 7. Statistics and Analysis 8. Clustering and Classification 9. Parallel and Concurrent Design 10. Real-time Data 11. Visualizing Data 12. Exporting and Presenting Index

Plotting bar graphs using Google's Chart API

The Google Chart API also has great support for bar graphs. In this recipe, we will produce a bar graph of two sets of inputs in the same diagram to show the usefulness of this API.

Getting ready

Install the GoogleChart package as follows:

$ cabal install hs-gchart

Create two files called input1.txt and input2.txt with numbers inserted line by line as follows:

$ cat input1.txt 
2
5
3
7
4
1
19
18
17
14
15
16

$ cat input2.txt
4
2
6
7
8
2
18
17
16
17
15
14

How to do it…

  1. Import the Google Chart API library as follows:
    import Graphics.Google.Chart
  2. Gather the two input values from both the text files and parse them as two separate lists of integers, as shown in the following code snippet:
    main = do
      rawInput1 <- readFile "input1.txt"
      rawInput2 <- readFile "input2.txt"
      let nums1 = map (read :: String -> Int) (lines rawInput1)
      let nums2 = map (read :: String -> Int) (lines rawInput2)
  3. Set up the bar chart too...
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