Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Big Data Analytics with Java

You're reading from  Big Data Analytics with Java

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Pages 418 pages
Edition 1st Edition
Languages
Concepts
Author (1):
RAJAT MEHTA RAJAT MEHTA
Profile icon RAJAT MEHTA

Table of Contents (21) Chapters

Big Data Analytics with Java
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Big Data Analytics with Java 2. First Steps in Data Analysis 3. Data Visualization 4. Basics of Machine Learning 5. Regression on Big Data 6. Naive Bayes and Sentiment Analysis 7. Decision Trees 8. Ensembling on Big Data 9. Recommendation Systems 10. Clustering and Customer Segmentation on Big Data 11. Massive Graphs on Big Data 12. Real-Time Analytics on Big Data 13. Deep Learning Using Big Data Index

Box plots


Another very useful type of charts is box chart. Before looking into box charts, let's revise some simple mathematical concepts next. You can skip this page and directly go to the chart as well.

Suppose you have an array of numbers as shown here:

int[] numbersArr = { 5, 6, 8, 9, 2 };

Now, from this array, we have to find the following simple math stats:

  • Min: This is just the minimum value from the array and as you can see it is 2

  • Max: This is the maximum value from the array and this as you can see, is 9

  • Mean: This is the mean value of the array elements. Mean is nothing but the average value. Hence in this case it is the sum of array elements divided by the number of elements in the array.

    	(5 + 6 + 8 + 9 + 2) / 5 = 6
  • Median: If we sort the preceding array in ascending order, the values would be:

    int[ ] numbersArr = ( 2, 5, 6, 8, 9 ),

    The value located at the middle of the dataset array depicts the median. As such, the median depicts a value in the array such that 50% of the values...

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 $15.99/month. Cancel anytime}