Exercise

Calculate Missing Percents

Automation is the future of data science. Learning to automate some of your data preparation pays dividends. In this exercise, we will automate dropping columns if they are missing data beyond a specific threshold.

Instructions

100 XP
  • Define a function column_dropper() that takes the parameters df a dataframe and threshold a float between 0 and 1.
  • Calculate the percentage of values that are missing using where(), isNull() and count()
  • Check to see if the percentage of missing is higher than the threshold, if so, drop the column using drop()
  • Run column_dropper() on df with the threshold set to .6