Map of Global Air Quality

PM2.5 Around the World

This choropleth map visualizes global PM2.5 air pollution concentrations for the year 2011, using a grayscale color scale to represent exposure levels across countries. Missing data is marked with a diagonal hash pattern. The visualization uses d3.geoPath with a natural Earth projection, d3.scaleQuantize for color mapping, and d3.zoom for interactive panning. Data comes from a Kaggle dataset processed via TopoJSON and CSV files, with a custom colorLegend component displaying the value ranges for each shade.

75% match

PM2.5 Around the World

This interactive visualization displays PM2.5 air pollution levels for countries worldwide from 2010 to 2017. A choropleth map, rendered using d3.geoPath and d3.geoNaturalEarth1, color-codes each country by its annual mean PM2.5 concentration. Users can select a year via a slider, which updates both the map and a line chart showing pollution trends for all countries. Hovering or clicking a country highlights its data in red on the line chart. The data is sourced from Kaggle's PM2.5 Global Air Pollution dataset.

Choropleth Map

A choropleth map visualizes passenger counts by country with a green color scale, showing geographic distribution of aviation traffic. The visualization uses D3 v5's geoNaturalEarth1 projection and geoPath to render world map data from world-atlas TopoJSON, while CSV data provides country codes and passenger values. Countries are colored using scaleOrdinal with schemeGreens, and interactive zooming is implemented via D3's zoom module.

SSara Cabodi

[Project] PM2.5 Around the World

This visualization combines a world choropleth map, a line chart of all countries, and an interactive tool panel to explore PM2.5 air pollution data from 2010 to 2017. Users can hover over countries to see values, click to select a country and highlight its trend in red, and use a slider to change the year displayed. The map uses `geoNaturalEarth1` projection and `geoPath`, while the line charts are drawn with `d3.line` and `curveNatural`. Data is loaded from a CSV via `d3.csv` and processed with `d3.nest` and `d3.range`.

PM2.5 Around the World

This visualization combines a choropleth map and line chart to explore global PM2.5 air pollution levels from 2010 to 2017. A slider selects the year, updating the map's color shading and highlighting the corresponding point on the time-series chart. Built with D3 v5, it uses `d3.geoPath` with a Natural Earth projection for the map and `d3.scaleLinear` for chart axes. The data comes from a Kaggle dataset of mean annual PM2.5 exposure for 240 countries, with missing values shown via a diagonal hatch pattern.

Pollution Around America and Over Time

A choropleth-free bubble map displays air quality index measurements across the United States, with circles overlaid on state boundaries rendered via `d3.geoAlbersUsa` and `d3.geoPath`. A brushed time-series histogram beneath the map uses `d3.brushX` and `d3.bin` to filter the circles by collection date, updating the map dynamically. Data comes from a CSV of ozone readings, while state outlines derive from TopoJSON via the `feature` and `mesh` APIs. SVG elements render all visuals within a React framework.

CChase Hall

71% match

Choropleth Map

A choropleth map colors countries by their economic classification using an ordinal color scale with the `schemeSpectral` palette. The visualization uses `d3.geoNaturalEarth1` and `d3.geoPath` to render world geography, with data loaded from the World Atlas TopoJSON and TSV files via `d3.json` and `d3.tsv`. A custom color legend displays the scale, and zooming is enabled through `d3.zoom`. Hovering highlights a country by turning it red.

CChip

71% match