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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

Line charts


These types of charts are useful in regression techniques as we will see later. It's a simple chart represented by a line that shows the changes in data either by time or some other value. Even Time Series charts are a type of line chart. Here is an example of a Time Series chart:

This line chart is a simple chart showing Max Temp versus Year, In this case, max temperatures are from 1901 to 1910. The chart shows that the temperature did not change drastically within these 10 years.

To build this line chart, we have used the same All India seasonal and annual min/max temperature series dataset as explained in the preceding Time Series charts. For building the charts, the steps are again the same:

  1. Loading the chart dataset and creating a JFreeChart-specific dataset.

    • We will create a similar createDataset method and return our DefaultCategoryDataset object

         private DefaultCategoryDataset createDataset() {
         DefaultCategoryDataset dataset = new DefaultCategoryDataset();
    • Next, we go...

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