Use case - analyzing the Uber dataset

In the previous recipes, we saw various steps of performing data analysis. In this recipe, let's download the Uber dataset and try to solve some of the analytical questions that arise on such data.

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 http://spark.apache.org/docs/latest/spark-standalone.html. Also, include the Spark MLlib package in the build.sbt file so that it downloads the related libraries and the API can be used. Install Hadoop (optionally), Scala, and Java.

How to do it…

In this section, let's see how to analyse the Uber dataset.

  1. Let's ...

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