We need a large-scale real-estate dataset cleaned and analyzed end-to-end. The goal is to process a multi-million-row dataset and produce a clear dashboard and report. Deliverables: Data ingestion and cleaning (remove duplicates, fix formatting, standardize columns) Exploratory analysis (price trends, transaction volumes, type distribution) Dashboard (Power BI preferred) Short report (2–3 pages) summarizing insights Please propose a clear plan with steps and your approach for handling large data efficiently. Budget: €300 Timeline: 7 days Deliverables: Cleaned dataset, dashboard file, report (PDF or Markdown). Skills required: Data Cleaning, Python, Power BI, Data Visualizatio