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Build notes · Goh Kun Ming

HDB Resale Explorer

Data · Coursework dashboard

Oct 2025 – Dec 2025

Project overview

Exploring the data behind a Singapore home.

A Tableau-ready market-analysis pipeline exploring Singapore HDB resale affordability, value and location trade-offs. Reproducible cleaning and geospatial enrichment feed validated datasets and a packaged dashboard. Market measures retain their stated time periods, keeping year-over-year changes distinct from longer-term growth.

  • Python
  • Data Cleaning
  • Dashboards
  • Singapore

Inside this build

  • Standardised town, street, flat-type, storey, model and lease labels.
  • Corrected documented floor-area anomalies and removed duplicate records.
  • Validated canonical and enriched datasets containing 202,461 and 216,695 rows.
  • Derived price-per-area, lease, transaction-period and location-context fields.
  • Built a Tableau workbook for comparisons across towns, flat types and household needs.
  • Preserved notebooks, methodology, data-source notes, reports and presentation artefacts.

Project files

Original project files are in English.

  • Original coursework presentation

    PDF · 2.8 MB

    Document preview

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Inside the project

3 images

Title page of Goh Kun Ming’s town-based HDB resale market analysis presentation.

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Town-based HDB resale analysis — project presentation, page 1. View full image ↗
HDB market dashboard with flat-type price indicators, a model comparison, a map and a time-series chart.

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Market overview dashboard — an excerpt from page 23 of the project presentation. View full image ↗
HDB comparison dashboard showing affordability, value, lifestyle accessibility and town comparisons.

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Town comparison dashboard — an excerpt from page 24 of the project presentation. View full image ↗

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Source code & links

Source code↗Read on LinkedIn↗PowerPoint presentation↗Written report↗
Inspect the project chest →
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