anchor.diff:  case 0) and a random universally unique identifier (UUID).
   
   If you look at the beginning of the part file you should see something like
  -table 2.10.
  +table 2.12.
   
   .The first 5 lines of the part file.
   [options="header"]
  
positive.code: |===
  
  If we were to apply a VectorAssembler with Age and Fare as input columns, we
  would obtain table 2.9.
  
  .Resulting DataFrame after applying a VectorAssembler on the Age and Fare columns.
  [options="header"]
  
negative.code: deviation.
  
  Let's see what calling the `describe()` method on the Fare columns gives us when
  we run it, as shown in listing 2.8.
  
  .Calling the describe method on the Fare column gives us summary statistics.
  [source,scala]
  ----
  titanicTrain
    .describe("Fare") // <1>
  