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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 a line chart using Google's Chart API

We will use the convenient Google Chart API (https://developers.google.com/chart) to render a line chart. This API produces a URL that points to a PNG image of the graph. This lightweight URL can be easier to handle than the actual image itself.

Our data will come from a text file that contains a list of numbers separated by lines. The code will generate a URL to present this data.

Getting ready

Install the GoogleChart package as follows:

$ cabal install hs-gchart

Create a file called input.txt with numbers inserted line by line as follows:

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

How to do it…

  1. Import the Google Chart API library as follows:
    import Graphics.Google.Chart
  2. Gather the input from the text file and parse it as a list of integers:
    main = do
      rawInput <- readFile "input.txt"
      let nums = map (read :: String -> Int) (lines rawInput)
  3. Create a chart URL out of the image by setting the attributes appropriately...
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