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