Validating data transformations
Great work so far! Manually spot-checking transformations is a great first step to ensuring that you're maintaining data quality throughout a pipeline. pandas offers several built-in functions to help you with just that!
To help get you started with this exercise, pandas has been imported as pd.
Bu egzersiz
ETL and ELT in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
def extract(file_path):
# Ingest the data to a DataFrame
raw_data = pd.____(____)
# Return the DataFrame
return raw_data
raw_sales_data = extract("sales_data.parquet")