Ratios

Ratios are all around us. Whether it's miles per gallon or click through rate, they are everywhere. In this exercise, we'll create some ratios by dividing out pairs of columns.

Diese Übung ist Teil des Kurses

Feature Engineering with PySpark

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Anleitung zur Übung

Create a new variable ASSESSED_TO_LIST by dividing ASSESSEDVALUATION by LISTPRICE to help us understand if the having a high or low assessment value impacts our price.
Create another new variable TAX_TO_LIST to help us understand the approximate tax rate by dividing TAXES by LISTPRICE.
Lastly create another variable BED_TO_BATHS to help us know how crowded our bathrooms might be by dividing BEDROOMS by BATHSTOTAL.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# ASSESSED_TO_LIST
df = ____
df[['ASSESSEDVALUATION', 'LISTPRICE', 'ASSESSED_TO_LIST']].show(5)
# TAX_TO_LIST
df = ____
df[['TAX_TO_LIST', 'TAXES', 'LISTPRICE']].show(5)
# BED_TO_BATHS
df = ____
df[['BED_TO_BATHS', 'BEDROOMS', 'BATHSTOTAL']].show(5)

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