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○ Time: 1 week
○ Tools Required: Python (pandas), SQL
○ Steps:
1. Create and run data validation scripts in Python using pandas.
□ Define data quality rules and validation criteria.
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zepor updated
1 month ago
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As a user, I often encounter data with common formatting issues that need to be resolved, but which require relatively complex solutions to accommodate this. As an example, removing leading or trailin…
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Update the outreach portal data with current NC's (Nodal Coordinators) and remove the old data/unnecessary data.
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_Originally posted by @duaibeom in https://github.com/boostcampaitech2/data-annotation-cv-level3-cv-10/issues/3#issuecomment-967221640_
아래에 해당하는 경우들을 확인 및 수정이 필요합니다.
### 데이터 관련
- empty_image_li…
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### Brand name
Virgin Active
### Wikidata ID
Q4013942
### Store finder url(s)
https://www.virginactive.com.au/locations
https://www.virginactive.com.au/_next/data/Me_Je-QRiZvkL3eQ4S-EO/locatio…
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- [x] sentence can't have , (comma) in them
- [x] Numbers inside the list need to be identified correctly, for that we can't use ,(comma) after a number
- [x] If a text don't make sense delete that e…
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Assume format given by Dr. B.
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## Story Title
**As the** Mojaloop FRM system, **I want to** transactional data to be cleansed or repaired, **so that** I can still evaluate the transaction for fraud risk even though the transaction …