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Data Dare data transformation L1 sticker: the findi360 mascot analysing Basic Data Cleaning and Shaping.

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

v1.0 · 4 files

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  • Question Book PDF DD-TRF-001_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-TRF-001_Data_Dictionary.xlsx 10.6 KB · v1.0
  • Business Introduction PDF DD-TRF-001_Business_Introduction.pdf 614.2 KB · v1.0
  • Raw fact data DD-TRF-001_Transformation.xlsx 580.1 KB · v1.0

Questions

Open one to discuss it
  1. Q019 Medium Clean amount by month
  2. Q020 Medium Valid rows by month
  3. Q021 Medium Distinct customers by month
  4. Q022 Medium Exact duplicates by month
  5. Q023 Medium Conflicting duplicates by month
  6. Q024 Medium Blank customer codes by month
  7. Q025 Medium Text amounts by month
  8. Q026 Medium Non-ISO dates by month
  9. Q027 Medium Stray-case codes by month

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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