BaşlayınÜcretsiz Başlayın

Establish aggregate-level Expectations

Time to practice writing some column-specific Expectations at the aggregate level. The Expectation Suite and Batch have already been assigned to the variables suite and batch, respectively, and loaded with the Shein Footwear dataset. Great Expectations and pandas are available as gx and pd, respectively.

Bu egzersiz

Introduction to Data Quality with Great Expectations

kursunun bir parçasıdır
Kursu Görüntüle

Uygulamalı interaktif egzersiz

Bu örnek kodu tamamlayarak bu egzersizi bitirin.

# "colour" should be in the set "Khaki", "Purple", or "Grey"
colour_expectation = gx.expectations.ExpectColumnDistinctValuesToBeInSet(
    ____="colour", value_set={"Khaki", "Purple", "Grey"}
)

# "seller_name" should have 7 to 10 distinct values
seller_expectation = gx.expectations.ExpectColumnUniqueValueCountToBeBetween(
    column="seller_name", ____=7, ____=10
)

# "link" should have all unique values
link_expectation = gx.expectations.____(
    column="link"
)

# "review_count" should have a most common value in the set "0" or "100+"
review_count_expectation = gx.expectations.ExpectColumnMostCommonValueToBeInSet(
    column=____, value_set=____
)
Kodu Düzenle ve Çalıştır