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Data Dare real estate L1 sticker: the findi360 mascot analysing Residential Rental Income and Occupancy.

DD-REA-001

Residential Rental Income and Occupancy

Decide which properties earn their rent, where occupancy is slipping, and which tenants pay late often enough to matter.

  • Real Estate
  • L1 · XLSX
  • ~10,000 rows
  • 5 tables
  • 30 questions

Get the data

v1.0 · 5 files

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  • Question Book PDF DD-REA-001_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-REA-001_Data_Dictionary.xlsx 13.6 KB · v1.0
  • Business Introduction PDF DD-REA-001_Business_Introduction.pdf 1.8 MB · v1.0
  • Relationship Diagram PDF DD-REA-001_Relationship_Model.pdf 46.6 KB · v1.0
  • Raw fact data DD-REA-001_Property_Management.xlsx 1.3 MB · v1.0

Questions

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  1. Q001 Easy Establish the gross amount charged to tenants
  2. Q002 Easy Quantify actual cash collections
  3. Q003 Easy Measure unresolved tenant receivables
  4. Q004 Easy Measure billing-to-cash conversion
  5. Q005 Easy Measure operating occupancy from transactional records
  6. Q006 Easy Quantify occupied operating activity
  7. Q007 Easy Quantify recorded vacancy exposure
  8. Q008 Easy Establish the portfolio property count
  9. Q009 Easy Establish total unit capacity
  10. Q010 Easy Establish the tenant population
  11. Q011 Easy Measure average billed value per transaction
  12. Q012 Easy Identify the strongest revenue-generating property
  13. Q013 Easy Identify the main property-level concentration of arrears
  14. Q014 Easy Explain the distribution of collection outcomes
  15. Q015 Easy Quantify completely unpaid tenant obligations
  16. Q016 Easy Measure late-payment frequency
  17. Q017 Easy Identify incomplete settlements
  18. Q018 Easy Identify peak monthly billing performance

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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