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Availability of Education for Assistive Technology

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Availability of Education for Assistive Technology

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KKal
Last edited Dec 9, 2025
Created on Sep 28, 2025
Forked from Loading Data

This interactive visualization maps the global availability of assistive technology education programs by WHO region, with each country color-coded by region and filterable by training content type. It uses d3.geoPath with TopoJSON world atlas data to render the choropleth map and d3.scaleBand for the stacked bar chart comparing regional program counts across cognition, communication, hearing, mobility, self-care, and vision training. Hovering reveals country-level details, while the dropdown filter dynamically updates both map and chart. Data comes from a CSV of country-level survey responses.

AI-generated description

Availability of Education for Assistive Technology - World Map

Description

Interactive world map and visualization showing the availability and characteristics of assistive-technology education programs by WHO region and training content type. This visualization makes it easy to explore regional access to assistive technology training programs globally and understand the distribution of training focus areas.

Source: Kaggle — Availability of Education for Assistive Technology by yapwh1208
Link: https://www.kaggle.com/datasets/yapwh1208/availability-of-education-for-assistive-technology

Visualization Features

Interactive World Map

  • Color-coded regions: Countries are colored by WHO region, with color intensity indicating total program count
  • Hover details: Mouse over any country to see:
    • Region name
    • Total programs in that region
    • Breakdown by training content type (Cognition, Communication, Hearing, Mobility, Self-care, Vision)
  • Geographic context: Easily identify regional patterns and gaps in assistive technology education
  • Gray countries: Indicate no data available for that country

Stacked Bar Chart

  • Regional comparison: Shows all WHO regions with programs
  • Content type breakdown: Each bar is stacked by training content type
  • Color-coded types: Different colors represent different training focuses
  • Interactive bars: Hover over any segment to see the region and specific content type count

Legends

  1. Training Content Types Legend: Shows all content types with their assigned colors
  2. Region Totals Legend: Shows each region with color intensity and total program count

Data Attributes

  • Location — Country name (nominal). Geographic area of the record.
  • Period — Year of data collection (temporal). Data is from 2021.
  • ParentLocationCode — WHO region code (nominal). AFR, EUR, AMR, EMR, WPR, SEAR
  • ParentLocation — WHO region name (nominal). Africa, Europe, Americas, Eastern Mediterranean, Western Pacific, South-East Asia
  • Dim1 — Type of assistive technology training (nominal). Includes:
    • Training related to Cognition
    • Training related to Communication
    • Training related to Hearing
    • Training related to Mobility
    • Training related to Self-care
    • Training related to Vision

How to Use

  1. Load the CSV file: Education for assistive technology.csv
  2. Open index.html in a web browser
  3. Explore the world map: Hover over countries to see region details and content breakdown
  4. View the bar chart: Compare content distribution across regions
  5. Check the legends to understand color coding and program counts

Technologies Used

  • D3.js v7.6.1 — Data visualization
  • TopoJSON — Geographic data format
  • World Atlas — Country boundary data

Data Processing

  • Programs are aggregated by WHO region and training content type
  • Content type names are normalized from truncated CSV values
  • Countries are colored by their parent WHO region
  • Total program count per region determines color intensity
  • Stacked bars show content type composition for each region
  • Data period: 2021

Notes

  • If you update the CSV file, ensure the Location column contains country names that match TopoJSON data
  • The visualization uses Natural Earth country boundaries at 110m resolution
  • For best viewing experience, use a modern web browser with JavaScript enabled
  • Content type training categories are automatically detected and normalized from the Dim1 column