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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Univariate analysis
Once the data is available, we have to spend lot of time and effort in data exploration, cleaning and preparation because the quality of the high input data decides the quality of calculating the output. Hence, once we identify the business questions, the first step of data exploration/analysis is univariate analysis, which explores the variables one by one. The methods of univariate analysis depend on whether the variable type is categorical or continuous.
Getting ready
To step through this recipe, you will need a running Spark cluster in any one of the modes, that is, local, standalone, YARN, or Mesos. For installing Spark on a standalone cluster, please refer to http://spark.apache.org/docs/latest/spark-standalone.html. Also, ...
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