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Big Data Analytics with Java

You're reading from   Big Data Analytics with Java Data analysis, visualization & machine learning techniques

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787288980
Length 418 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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RAJAT MEHTA RAJAT MEHTA
Author Profile Icon RAJAT MEHTA
RAJAT MEHTA
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Table of Contents (21) Chapters Close

Big Data Analytics with Java
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Big Data Analytics with Java FREE CHAPTER 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...

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