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Data Dare data transformation L2 sticker: the findi360 mascot analysing Multi-File Transformation and Data Quality.

DD-TRF-002

Multi-File Transformation and Data Quality

Decide which branch files drift from the standard layout, how many rows fail to match the central export, and what the combined, validated total is.

  • Data Transformation
  • L2 · CSV
  • ~30,864 rows
  • 8 tables
  • 40 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-TRF-002_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-TRF-002_Data_Dictionary.xlsx 11.5 KB · v1.0
  • Business Introduction PDF DD-TRF-002_Business_Introduction.pdf 614.3 KB · v1.0
  • Relationship Diagram PDF DD-TRF-002_Relationship_Model.pdf 613.8 KB · v1.0
  • Raw fact data DD-TRF-002_FactRawEvents.csv 2.1 MB · v1.0
  • Dimension / supporting data DD-TRF-002_Dimensions.zip 178.6 KB · v1.0

Questions

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  1. Q017 Medium Clean amount by month
  2. Q018 Medium Valid rows by month
  3. Q019 Medium Distinct customers by month
  4. Q020 Medium Exact duplicates by month
  5. Q021 Medium Conflicting duplicates by month
  6. Q022 Medium Blank customer codes by month
  7. Q023 Medium Text amounts by month
  8. Q024 Medium Non-ISO dates by month
  9. Q025 Medium Stray-case codes by month
  10. Q026 Medium Unknown products by month
  11. Q027 Medium Return lines by month
  12. Q028 Medium Value of returns by month
  13. Q029 Medium Year-on-year change in clean amount
  14. Q030 Medium Clean amount by category
  15. Q031 Medium Clean amount by region
  16. Q032 Medium Largest monthly shortfall against target
  17. Q033 Medium Rows per batch file
  18. Q034 Medium Drifted columns per batch file
  19. Q035 Medium Batch rows absent from the export
  20. Q036 Medium Export rows absent from each batch

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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