July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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Calculating statistics again
Run the invoke on the dataframe describe method and pass to it column names:
val dFrame2 = dFrame1.describe("Id","SepalLengthCm","SepalWidthCm","PetalLengthCm","PetalWidthCm","Species")dFrame2: org.apache.spark.sql.DataFrame = [summary: string, Id: string ... 5 more fields]
The invoke on the describe method of DataFrame dfReader results in a transformed DataFrame that we call dFrame2. On dFrame2, we invoke the show method to return a table of statistical results. This completes the first phase of a basic yet important EDA:
val dFrame2Display= = dfReader2.show
The results of the statistical analysis are shown in the following screenshot:
Results of statistical analysis
We did all that extra work simply to demonstrate ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.