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Time Components

Being able to work with time components for building features is important but you can also use them to explore and understand your data further. In this exercise, you'll be looking to see if there is a pattern to which day of the week a house lists on. Please keep in mind that PySpark's week starts on Sunday, with a value of 1 and ends on Saturday, a value of 7.

Instruksi

100 XP
  • Import to_date() and dayofweek() functions from pyspark.sql.functions
  • Use the to_date() function to convert LISTDATE to a Spark date type, save the converted column in place using withColumn()
  • Create a new column using LISTDATE and dayofweek() then save it as List_Day_of_Week using withColumn()
  • Sample half the dataframe and convert it to a pandas dataframe with toPandas() and plot the count of the pandas dataframe's List_Day_of_Week column by using seaborn countplot() where x = List_Day_of_Week.