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Description
validly(Dataset check)
- Datetime column lengths(4-10)
- - numbers in text fields
- - Minimum no. of rows or size
- - latest data on top
- - update data dictionaries like countries and districts
- - Detecting special characters
- - Flag Data-Time empty cells
- - column_names in lower case
- - Display local path for Directory
- Numeric values format(roundoff to 2 decimal digits)
- Identify Negative Values(Flag)
metafacts(Generating Metadata from Dataset)
- adding temporal coverage for datasets with dates
- Duplicate units
- Granularity (airline, language, districts, crops, gender)
- Separate granularity for Fiscal Years
- remove formats_available, is_public
- Display local path for Directory
validly metafacts(Metadata check)
- length of title (factly_dataset_name) < 200
- Spell Check
- to check whether file_path in s3
- Columns order
- length of description to be > 50
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