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
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- Question Book PDF DD-REA-001_Question_Book.pdf
- Dataset Documentation / Data Dictionary XLSX DD-REA-001_Data_Dictionary.xlsx
- Business Introduction PDF DD-REA-001_Business_Introduction.pdf
- Relationship Diagram PDF DD-REA-001_Relationship_Model.pdf
- Raw fact data DD-REA-001_Property_Management.xlsx
Questions
Open one to discuss it- Q019 Medium Track billed revenue through time
- Q020 Medium Compare annual operating performance
- Q021 Medium Quantify year-on-year billing growth
- Q022 Medium Identify the strongest cash-collection month
- Q023 Medium Reconcile billed income against actual cash
- Q024 Medium Create an actionable record-level ageing classification
- Q025 Medium Identify advanced collection deterioration
- Q026 Medium Measure the financial effect of vacancy
- Q027 Medium Establish the portfolio occupancy benchmark
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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