1. Dataset Source & Preprocessing

• Dataset name: Issued building permits
• Source: City of Vancouver Open Data
• URL: https://opendata.vancouver.ca/explore/dataset/issued-building-permits/information/
• Date range: 2017–2025 (website shows 2020–2024)

Preprocessing steps:

1. Download the raw CSV from the Open Data portal.
2. Clean the data:
   • Count missing/null values per column.
   • Fill optional fields where appropriate.
   • Standardize and convert data types (e.g. dates, numbers).
   • Check for duplicate Permit Numbers (none found).
3. Format the cleaned dataset for D3.js consumption (e.g. JSON or well-structured CSV).

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2. How to Use This Report

• Year Filter: Use the dropdown in the top-right to select a year (2020–2024). All charts will update dynamically.
• Interactions:
  • Hover over data points for tooltips.
  • Click bars/slices to drill down.
  • Pan & zoom maps where supported.

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3. Page Overview

Use the left-hand menu to navigate:

• Home
  Overview of the dataset & a link to the original source.
• Dashboard
  Yearly summary:
  • Total permits issued
  • Total project value
  • Average project value (vs. previous year)
• Project Value by Neighborhood (Bar Chart)
  Top 10 neighborhoods ranked by total permit value.
• Monthly Permits Issued (Line Chart)
  Permits issued each month, showing seasonal trends.
• Building Permit Locations (Map)
  Geographic distribution of permits across Vancouver’s neighborhoods.
• Distribution of Permits (Pie Chart)
  Breakdown by permit type (e.g., New Building, Addition/Alteration).
• Elapsed Days vs. Project Value (Scatter Plot)
  Relationship between project duration and monetary value.

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4. What to Look For

1. Home:
   Read dataset details and follow the link to the raw data.
2. Dashboard:
   Quick snapshot of yearly changes—watch for spikes or dips.
3. Bar Chart:
   Which neighborhoods dominate in project investment?
4. Line Chart:
   Are there months with consistently higher permit volume?
5. Map:
   Identify hotspots of building activity geographically.
6. Pie Chart:
   Which types of projects are most common?
7. Scatter Plot:
   Do longer projects tend to have higher values, or is there no clear pattern?

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Feel free to tweak any labels or descriptions to match your exact UI.