Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783286331
Length 334 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Nishant Shukla Nishant Shukla
Author Profile Icon Nishant Shukla
Nishant Shukla
Arrow right icon
View More author details
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

Interacting with points in a three-dimensional space

When visualizing points in 3D space, it is often very useful to rotate, zoom, and pan the representation interactively. This recipe demonstrates how to plot data in 3D and interact with it in real time.

Getting ready

The library used in this recipe uses gnuplot to render the graph. We should first install gnuplot.

On Debian-based systems such as Ubuntu, we can install it using apt-get as follows:

$ sudo apt-get install gnuplot-x11

The official place to download gnuplot is from its main website available at http://www.gnuplot.info.

After gnuplot is set up, install the easyplot Haskell library using Cabal as follows:

$ cabal install easyplot

Also, install a helper CSV package as follows:

$ cabal install csv

Also, create two comma-separated files, input1.csv and input2.csv, which represent two separate sets of points as follows:

$ cat input1.csv
1,1,1
1,2,1
0,1,1
1,1,0
2,1,0
2,1,1
1,0,1
$ cat input2.csv
4,3,2
3,3,2
3,2,3
4,4,3
5,4,2
4,2,3
3,4,3...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime