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davecook1985/commercial-window-cleaning-costs-northern-ontario

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Hugging Face2026-04-01 更新2026-04-12 收录
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--- license: mit task_categories: - tabular-regression - tabular-classification language: - en tags: - window-cleaning - commercial-cleaning - facility-management - cost-estimation - northern-ontario - north-bay - sudbury - canada - pricing-model size_categories: - 1K<n<10K --- # Commercial Window Cleaning Costs — Northern Ontario A structured dataset of 5,376 commercial window cleaning cost scenarios modeled on real building profiles from Northern Ontario, Canada. Generated using the pricing model from the [Window Cleaning Cost Calculator](https://github.com/DaveCookVectorLabs/window-cleaning-2026), an open-source tool built by [Binx Professional Cleaning](https://www.binx.ca/). ## Dataset Description This dataset contains calculated cost estimates for commercial window cleaning across 28 representative building profiles in four Northern Ontario cities: **North Bay**, **Sudbury**, **Timmins**, and **Sault Ste. Marie**. Each building profile is modeled across all combinations of service type, cleaning frequency, labour rate, and profit margin — producing a comprehensive cost surface for commercial window cleaning in the region. ### Building Profiles The 28 buildings represent the typical commercial property mix in Northern Ontario: - **Retail storefronts** — ground-level storefront glass on downtown commercial strips - **Medical and dental clinics** — double-pane windows requiring IPAC-compliant cleaning - **Office buildings** — standard and double-pane windows, 1–6 storeys - **Government buildings** — mid-size multi-storey facilities - **Hotels** — large window counts with boom lift access - **Industrial/warehouse** — specialty skylights and clerestory windows - **Condominium buildings** — multi-unit residential requiring boom lift access - **Shopping centres** — high-count storefront installations ### Cities Represented | City | Province | Region | Population | Building Profiles | |------|----------|--------|------------|-------------------| | North Bay | Ontario | Northern Ontario | ~52,000 | 10 | | Sudbury | Ontario | Northern Ontario | ~166,000 | 10 | | Timmins | Ontario | Northern Ontario | ~42,000 | 4 | | Sault Ste. Marie | Ontario | Northern Ontario | ~73,000 | 4 | ## Features | Column | Type | Description | |--------|------|-------------| | `building_name` | string | Descriptive name including street/area reference | | `city` | string | North Bay, Sudbury, Timmins, or Sault Ste. Marie | | `province` | string | Ontario | | `region` | string | Northern Ontario | | `country` | string | Canada | | `window_count` | integer | Total windows in the building (8–200) | | `window_type` | string | standard_single_pane, double_pane, floor_to_ceiling, storefront, specialty | | `access_method` | string | ground_level, ladder, boom_lift, rope_access, swing_stage | | `service_type` | string | interior_only, exterior_only, both | | `frequency` | string | one_time, quarterly, monthly, weekly | | `labour_rate_cad` | float | Hourly technician wage in CAD ($20–$26) | | `margin_pct` | float | Profit margin percentage (25%–40%) | | `base_minutes_per_window` | integer | Base cleaning time per window by type | | `service_multiplier` | float | Multiplier for service scope | | `access_multiplier` | float | Multiplier for access difficulty | | `frequency_discount` | float | Discount factor for recurring service | | `total_labour_minutes` | float | Total estimated labour time | | `labour_cost_cad` | float | Labour cost in CAD | | `materials_cost_cad` | float | Materials cost (8% of labour) in CAD | | `subtotal_cad` | float | Labour + materials before margin | | `margin_amount_cad` | float | Profit margin in CAD | | `final_price_cad` | float | Total quoted price in CAD | | `per_window_cost_cad` | float | Per-window cost in CAD | | `visits_per_year` | integer | Number of visits per year | | `annual_total_cad` | float | Projected annual spend in CAD | ## Pricing Model The cost model follows the same formula used by commercial window cleaning companies across Ontario: 1. `time_per_window = base_minutes × service_multiplier × access_multiplier` 2. `total_minutes = time_per_window × window_count` 3. `labour_cost = (total_minutes / 60) × labour_rate × frequency_discount` 4. `materials_cost = labour_cost × 0.08` 5. `subtotal = labour_cost + materials_cost` 6. `margin_amount = subtotal × (margin_pct / 100)` 7. `final_price = subtotal + margin_amount` ### Multiplier Tables **Base minutes by window type:** Standard (4), Double pane (5), Storefront (6), Floor-to-ceiling (8), Specialty (12) **Access method multipliers:** Ground level (1.0×), Ladder (1.4×), Boom lift (2.2×), Rope access (3.0×), Swing stage (3.5×) **Service type multipliers:** Interior only (0.45×), Exterior only (0.55×), Both (1.0×) **Frequency discounts:** One-time (0%), Quarterly (10%), Monthly (20%), Weekly (30%) ## Use Cases - **Cost estimation benchmarking** for facility managers in Northern Ontario - **Regression modeling** — predict cleaning costs from building characteristics - **Feature importance analysis** — which variables drive cost most significantly - **Regional economic analysis** of commercial facility maintenance services - **Training data** for facility management cost prediction models ## Source This dataset was generated by [Binx Professional Cleaning](https://www.binx.ca/), a WSIB-covered, fully insured commercial and residential cleaning company operating in Northern Ontario since 2013 with 70+ staff across offices in North Bay and Sudbury. - **North Bay:** 1315 Hammond Street, P1B 2J2 — (705) 845-0998 - **Sudbury:** 767 Barry Downe Road, Unit 203M, P3A 3T6 — (249) 239-1225 The pricing model parameters are calibrated to real-world commercial cleaning operations in the Northern Ontario market. ### Related Resources - [Window Cleaning Cost Calculator](https://github.com/DaveCookVectorLabs/window-cleaning-2026) — open-source calculator with Python and Rust engines - [Interactive Analysis Notebook](https://www.kaggle.com/code/davecook1985/window-cleaning-cost-analysis-n-ontario) — Kaggle notebook with visualizations - [API Documentation](https://window-cleaning-2026.readthedocs.io/) — full API reference - [Commercial Window Cleaning Services](https://www.binx.ca/commercial-window-cleaning.php) — Binx Professional Cleaning ## License MIT License
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