Skip to main content
SimilarExport ZIP
100%

Australia Network Partners Test

✓ Published0🌍 Public
PPeter Dentch
Last edited Apr 13, 2020
Created on Apr 12, 2020

This visualization shows the geographic spread of COVID-19 cases across Australian states, with interactive image markers representing partner organizations positioned on the map. Built using D3 v5 and TopoJSON, it renders the state boundaries with a geoMercator projection and d3.geoPath. Users can pan and zoom via d3.zoom, while hovering over the embedded images scales their height. The data comes from a CSV file tracking cumulative case counts by date, though the map itself displays static state geometries rather than dynamically sized outcomes.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Covid 19

This visualization presents COVID-19 case data across Australian states, combining a geographic map with a line graph. The map displays cumulative confirmed cases per state using scaled circles positioned via `d3.geoConicConformal` and `d3.geoPath`, while the graph plots daily confirmed cases for Victoria using `d3.scaleTime` and `d3.line`. Data is loaded from local CSV and GeoJSON files, with the map rendering SVG paths and circles styled by hover effects.

Ddtd-amiele
78% match
Loading thumbnail…

Covid19 - with React

This visualization presents the cumulative confirmed COVID-19 cases for each Australian state on a map. It uses a conic conformal projection (via `d3.geoConicConformal` and `d3.geoPath`) to render the geographic boundaries, and it encodes the number of cases with proportional circles (using `d3.scaleSqrt`) placed at each state's centroid. The application is built with React, loading the GeoJSON map data and CSV time-series data via D3’s `d3.json` and `d3.csv` loaders.

Ddtd-amiele
76% match
Loading thumbnail…

Australia

This visualization displays the electoral regions of Australia, with each region filled by a distinct color from a categorical palette and labeled with its name. Built with D3.js (v5) and the topojson library, it reads geographic data from a local JSON Topology file. The map uses the Mercator projection with custom translation and scaling to position the country. SVG paths are generated with `d3.geoPath` and the `feature` function from topojson extracts the region boundaries for rendering.

SSharanya1307
73% match
Loading thumbnail…

coronavirus countries Map

A world map visualization shows the geographic distribution of COVID-19 cases, allowing users to toggle between confirmed cases, deaths, and recoveries via a dropdown menu. Country boundaries are rendered with d3.geoPath, while proportional circles sized with d3.scaleSqrt mark outbreak severity at each nation’s centroid. Data from a CSV file is joined to TopoJSON country geometries using a country code key. The map supports zooming and panning via d3.zoom, and includes custom color and size legend components built with D3’s selection and scale APIs.

AAlex Ley
73% match
Loading thumbnail…

Australia Map

This example presents a choropleth-style map of Australia, with each electoral region filled with a distinct color from `d3.schemeCategory10` and labeled with its name. The code uses `d3.geoMercator` to project the geographical data and `d3.geoPath` to generate SVG paths for each region. State and territory names are positioned using the centroid calculation from `d3.geoPath`. The map is rendered as an SVG, with data loaded from a TopoJSON file and processed using the `topojson.feature` API.

MMgk1255
72% match
Loading thumbnail…

Australia Map

This example displays a map of Australia with its electoral regions, each filled with a distinct color from a categorical palette using `d3.scaleOrdinal` and `schemeCategory10`. The map is rendered as SVG paths generated by `d3.geoPath` with a `geoMercator` projection, using TopoJSON data from `australia.json`. State and territory names are overlaid at each region’s centroid via `pathGenerator.centroid`. The visualization relies on D3 v5 and the `topojson` library for feature extraction.

RRupeshGandham
72% match
Loading thumbnail…

Australia Map

This example displays a choropleth map of Australia, with each electoral region filled with a distinct categorical color and labeled with its name. Using D3 v5 and TopoJSON, it loads the `australia.json` topology, converts the `2021_ELB_region` object into GeoJSON features, and renders them as SVG paths via `d3.geoPath` with a Mercator projection. A `d3.scaleOrdinal` with `schemeCategory10` determines fill colors, while state names are positioned at path centroids. The map includes red stroke outlines for all region boundaries.

Ttejasrikotipalli1@gmail.com
71% match
Loading thumbnail…

Country Map

This example displays a map of Australia’s administrative regions, with each state filled in red and labeled with its name. The visualization loads GeoJSON data from `australia.json` and projects it using `d3.geoMercator` with a custom translation and scale. It uses `d3.geoPath` to generate SVG paths for the regions and `topojson.feature` to extract the geometry. State names are positioned at each region’s centroid using `d3.geoPath.centroid`, rendered as SVG text elements with a small font size.

SSheela2930
71% match