DD-TRF-001
Basic Data Cleaning and Shaping
Decide how many rows survive a clean-up, what the reconciled total is once duplicates and bad types are gone, and which region the mapped data points to.
- Data Transformation
- L1 · XLSX
- ~10,274 rows
- 5 tables
- 30 questions
Get the data
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- Question Book PDF DD-TRF-001_Question_Book.pdf
- Dataset Documentation / Data Dictionary XLSX DD-TRF-001_Data_Dictionary.xlsx
- Business Introduction PDF DD-TRF-001_Business_Introduction.pdf
- Raw fact data DD-TRF-001_Transformation.xlsx
Questions
Open one to discuss it- Q001 Easy Rows in the export file
- Q002 Easy Exact duplicate rows
- Q003 Easy Conflicting duplicate IDs
- Q004 Easy Blank customer codes
- Q005 Easy Amounts stored as text
- Q006 Easy Dates not in ISO format
- Q007 Easy Codes with stray case or spaces
- Q008 Easy Unknown product codes
- Q009 Easy Return lines
- Q010 Easy Valid rows after cleaning
- Q011 Easy Reconciled total amount
- Q012 Easy Top region after mapping
- Q013 Easy Distinct customers after standardising codes
- Q014 Easy Distinct products after standardising codes
- Q015 Easy Products missing a unit cost
- Q016 Easy Distinct categories after standardising
- Q017 Easy Duplicate customers in the master
- Q018 Easy Unpivoted target rows
- Q019 Medium Clean amount by month
- Q020 Medium Valid rows by month
- Q021 Medium Distinct customers by month
- Q022 Medium Exact duplicates by month
- Q023 Medium Conflicting duplicates by month
- Q024 Medium Blank customer codes by month
- Q025 Medium Text amounts by month
- Q026 Medium Non-ISO dates by month
- Q027 Medium Stray-case codes by month
- Q028 Hard Regions driving the year-on-year change
- Q029 Hard Category standardisation bridge
- Q030 Very Hard Checksum of the final table
General discussion
Anything about this dataset that is not one question — loading the files, which tool, how you set it up.
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