diff --git a/data_science_tools/great_expectations_example/great_expectations/expectations/.ge_store_backend_id b/data_science_tools/great_expectations_example/great_expectations/expectations/.ge_store_backend_id index 92bc5bd..6526dc7 100644 --- a/data_science_tools/great_expectations_example/great_expectations/expectations/.ge_store_backend_id +++ b/data_science_tools/great_expectations_example/great_expectations/expectations/.ge_store_backend_id @@ -1 +1,5 @@ +<<<<<<< HEAD store_backend_id = f363cba9-1ffe-4c45-a0fb-085f8e5091f1 +======= +store_backend_id = fbdc1c18-e37e-4287-89cb-6e6f63fb6663 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 diff --git a/data_science_tools/great_expectations_example/great_expectations/expectations/first_data/csv/warning.json b/data_science_tools/great_expectations_example/great_expectations/expectations/first_data/csv/warning.json index 41991e0..b3529c5 100644 --- a/data_science_tools/great_expectations_example/great_expectations/expectations/first_data/csv/warning.json +++ b/data_science_tools/great_expectations_example/great_expectations/expectations/first_data/csv/warning.json @@ -36,8 +36,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Time Spent on Site", +<<<<<<< HEAD "max_value": 40, "min_value": 30 +======= + "max_value": 32.6, + "min_value": 32.6 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -46,8 +51,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Time Spent on Site", +<<<<<<< HEAD "max_value": 100, "min_value": 85 +======= + "max_value": 91.37, + "min_value": 91.37 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -56,8 +66,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Time Spent on Site", +<<<<<<< HEAD "max_value": 70, "min_value": 55 +======= + "max_value": 65.26704918032787, + "min_value": 65.26704918032787 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -160,8 +175,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Age", +<<<<<<< HEAD "max_value": 12, "min_value": 10 +======= + "max_value": 19, + "min_value": 19 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -170,8 +190,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Age", +<<<<<<< HEAD "max_value": 70, "min_value": 57 +======= + "max_value": 61, + "min_value": 61 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -180,8 +205,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Age", +<<<<<<< HEAD "max_value": 40, "min_value": 30 +======= + "max_value": 36.05081967213115, + "min_value": 36.05081967213115 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -342,8 +372,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Area Income", +<<<<<<< HEAD "max_value": 15000, "min_value": 12000 +======= + "max_value": 14548.06, + "min_value": 14548.06 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -352,8 +387,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Area Income", +<<<<<<< HEAD "max_value": 80000, "min_value": 70000 +======= + "max_value": 79484.8, + "min_value": 79484.8 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -362,8 +402,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Area Income", +<<<<<<< HEAD "max_value": 65000, "min_value": 55000 +======= + "max_value": 55365.62095081966, + "min_value": 55365.62095081966 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -466,8 +511,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Internet Usage", +<<<<<<< HEAD "max_value": 110, "min_value": 95 +======= + "max_value": 105.0, + "min_value": 105.0 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -476,8 +526,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Internet Usage", +<<<<<<< HEAD "max_value": 270, "min_value": 250 +======= + "max_value": 269.96, + "min_value": 269.96 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -486,8 +541,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Daily Internet Usage", +<<<<<<< HEAD "max_value": 185, "min_value": 170 +======= + "max_value": 179.4397868852459, + "min_value": 179.4397868852459 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -638,8 +698,13 @@ "ge_cloud_id": null, "kwargs": { "column": "City", +<<<<<<< HEAD "max_value": 0.98, "min_value": 0.9 +======= + "max_value": 0.9819672131147541, + "min_value": 0.9819672131147541 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -690,8 +755,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Male", +<<<<<<< HEAD "max_value": 0.55, "min_value": 0.45 +======= + "max_value": 0.4852459016393443, + "min_value": 0.4852459016393443 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -911,8 +981,13 @@ "ge_cloud_id": null, "kwargs": { "column": "Clicked on Ad", +<<<<<<< HEAD "max_value": 0.55, "min_value": 0.45 +======= + "max_value": 0.4918032786885246, + "min_value": 0.4918032786885246 +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 }, "meta": {} }, @@ -1038,7 +1113,11 @@ "datasource_name": "first_data", "limit": 1000 }, +<<<<<<< HEAD "citation_date": "2021-10-07T18:26:54.131729Z", +======= + "citation_date": "2021-10-07T18:35:23.047852Z", +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 "comment": "Created suite added via CLI" } ], diff --git a/data_science_tools/great_expectations_example/great_expectations/great_expectations.yml b/data_science_tools/great_expectations_example/great_expectations/great_expectations.yml index 0291b53..0227d13 100644 --- a/data_science_tools/great_expectations_example/great_expectations/great_expectations.yml +++ b/data_science_tools/great_expectations_example/great_expectations/great_expectations.yml @@ -15,15 +15,25 @@ config_version: 3.0 # add a new datasource. Read more at https://docs.greatexpectations.io/en/latest/reference/core_concepts/datasource.html datasources: first_data: +<<<<<<< HEAD module_name: great_expectations.datasource data_connectors: default_inferred_data_connector_name: base_directory: ../data module_name: great_expectations.datasource.data_connector +======= + data_connectors: + default_inferred_data_connector_name: + base_directory: ../data +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 default_regex: group_names: - data_asset_name pattern: (.*) +<<<<<<< HEAD +======= + module_name: great_expectations.datasource.data_connector +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 class_name: InferredAssetFilesystemDataConnector default_runtime_data_connector_name: batch_identifiers: @@ -31,9 +41,16 @@ datasources: module_name: great_expectations.datasource.data_connector class_name: RuntimeDataConnector execution_engine: +<<<<<<< HEAD module_name: great_expectations.execution_engine class_name: PandasExecutionEngine class_name: Datasource +======= + class_name: PandasExecutionEngine + module_name: great_expectations.execution_engine + class_name: Datasource + module_name: great_expectations.datasource +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 # This config file supports variable substitution which enables: 1) keeping # secrets out of source control & 2) environment-based configuration changes @@ -113,7 +130,14 @@ data_docs_sites: anonymous_usage_statistics: enabled: true +<<<<<<< HEAD data_context_id: f363cba9-1ffe-4c45-a0fb-085f8e5091f1 concurrency: enabled: false notebooks: +======= + data_context_id: fbdc1c18-e37e-4287-89cb-6e6f63fb6663 +notebooks: +concurrency: + enabled: false +>>>>>>> d7dca468a243d4adf5c62b5b69f7bc1f22b26ba6 diff --git a/data_science_tools/great_expectations_example/great_expectations/uncommitted/data_docs/local_site/expectations/first_data/csv/warning.html b/data_science_tools/great_expectations_example/great_expectations/uncommitted/data_docs/local_site/expectations/first_data/csv/warning.html index 9b69c07..a9f49e4 100644 --- a/data_science_tools/great_expectations_example/great_expectations/uncommitted/data_docs/local_site/expectations/first_data/csv/warning.html +++ b/data_science_tools/great_expectations_example/great_expectations/uncommitted/data_docs/local_site/expectations/first_data/csv/warning.html @@ -576,7 +576,11 @@
Evaluates whether a batch of data matches expectations.
++ Validation Filter: +
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