December 2016
Beginner to intermediate
392 pages
8h 13m
English
Content preview from Apache Spark for Data Science CookbookBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 2. Tricky Statistics with Spark
In this chapter, you will learn the following recipes:
- Working with Pandas
- Variable identification
- Sampling data
- Summary and descriptive statistics
- Generating frequency tables
- Installing Pandas on Linux
- Installing Pandas from source
- Using IPython with PySpark
- Creating Pandas DataFrames over Spark
- Splitting, slicing, sorting, filtering and grouping DataFrames over Spark.
- Implementing co-variance and correlation using DataFrames over Spark.
- Concatenating and merging operations over DataFrames
- Complex operations over DataFrames.
- Sparkling Pandas
Introduction
Statistics refers to the mathematics and techniques with which we understand data. It is a vast field which plays a key role in the areas of data mining and artificial ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.