スキーマに関するExpectation

Great Expectationsで始めるデータ品質入門

Davina Moossazadeh

Data Scientist

形状とスキーマに関するExpectation

「Expectation」- データに関する検証可能な主張

  • 列に関するExpectation
  • 形状とスキーマに関するExpectation
    • 「schema」- データセット構造の設計図
1 https://docs.greatexpectations.io/docs/reference/learn/terms/expectation
Great Expectationsで始めるデータ品質入門

行数

row_count_expectation = gx.expectations.ExpectTableRowCountToEqual(
    value=118000
)

validation_results = batch.validate(expect=row_count_expectation)
print(validation_results.success)
False
print(validation_results.result)
{'observed_value': 118066}
Great Expectationsで始めるデータ品質入門

行数の範囲

ExpectTableRowCountToBeBetween で行数の範囲を定義します:

row_count_expectation = gx.expectations.ExpectTableRowCountToBeBetween(

min_value=117000, max_value=119000 )
validation_results = batch.validate(expect=row_count_expectation)
print(validation_results.success)
True
print(validation_results.result)
{'observed_value': 118066}
Great Expectationsで始めるデータ品質入門

列数

col_count_expectation = gx.expectations.ExpectTableColumnCountToEqual(
    value=15
)
validation_results = batch.validate(expect=col_count_expectation)
print(validation_results.success)
False
print(validation_result.result)
{'observed_value': 18}
Great Expectationsで始めるデータ品質入門

列数の範囲

ExpectTableColumnCountToBeBetween で列数の範囲を定義します:

col_count_expectation = gx.expectations.ExpectTableColumnCountToBeBetween(
    min_value=14, max_value=18
)
validation_results = batch.validate(expect=col_count_expectation)
print(validation_results.success)
True
print(validation_result.result)
{'observed_value': 18}
Great Expectationsで始めるデータ品質入門

列名セット

ExpectTableColumnsToMatchSet で列名を集合に対して検証します:

expected_cols = ['clouds_all', 'snow_1h', 'rain_1h', 'wind_speed', 'humidity', 
'pressure', 'temp', 'GHI', 'Energy delta[Wh]', 'Time', 'Time']

col_names_expectation = gx.expectations.ExpectTableColumnsToMatchSet( column_set=expected_cols )
print(col_names_expectation.success, col_names_expectation.result)
True 
{'observed_value': ['Time', 'Energy delta[Wh]', 'GHI', 'temp', 'pressure',
'humidity', 'wind_speed', 'rain_1h', 'snow_1h', 'clouds_all'}
Great Expectationsで始めるデータ品質入門

個別の列名

ExpectColumnToExist で特定の列が存在するか確認します:

col_name_expectation = gx.expectations.ExpectColumnToExist(column="not_a_column")
validation_result = batch.validate(expect=col_name_expectation)
print(validation_result.success)
False
col_name_expectation = gx.expectations.ExpectColumnToExist(column="GHI")
validation_result = batch.validate(expect=col_name_expectation)
print(validation_result.success)
True
Great Expectationsで始めるデータ品質入門

チートシート

形状に関するExpectation:

ExpectTableRowCountToEqual(value: int)
ExpectTableRowCountToBeBetween(
    min_value: int, max_value: int
)
ExpectTableColumnCountToEqual(
    value: int
)
ExpectTableColumnCountToBeBetween(
    min_value: int, max_value: int
)

列名に関するExpectation:

ExpectTableColumnsToMatchSet(
    column_set: set
)
ExpectColumnToExist(column: str)
Great Expectationsで始めるデータ品質入門

Passons à la pratique !

Great Expectationsで始めるデータ品質入門

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