The Pearson correlation coefficient shows us how two different variables vary at the same time, and then adjusts it for how much they vary. This is probably one of the most popular ways to compute a correlation if you have a dataset.
- Title Page
- Copyright and Credits
- About Packt
- Contributors
- Preface
- Installing Pyspark and Setting up Your Development Environment
- Getting Your Big Data into the Spark Environment Using RDDs
- Big Data Cleaning and Wrangling with Spark Notebooks
- Aggregating and Summarizing Data into Useful Reports
- Powerful Exploratory Data Analysis with MLlib
- Putting Structure on Your Big Data with SparkSQL
- Transformations and Actions
- Immutable Design
- Avoiding Shuffle and Reducing Operational Expenses
- Saving Data in the Correct Format
- Working with the Spark Key/Value API
- Testing Apache Spark Jobs
- Leveraging the Spark GraphX API
- Other Books You May Enjoy
The Pearson correlation
-
No Comment
..................Content has been hidden....................
You can't read the all page of ebook, please click here login for view all page.