PM2.5 Around the World

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.

96% match

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.

93% match

[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`.

92% match

PM2.5 For Selected Country

This visualization displays PM2.5 pollution trends for a selected country between 2010 and 2017, using data from Kaggle’s Global Air Pollution dataset. A dropdown menu lets users choose a country, triggering a D3 line chart that updates with the new country’s yearly values. The code uses d3.line, d3.scaleLinear, d3.axisLeft, and d3.axisBottom to render the SVG chart, with a color legend built via a custom colorLegend function. Data is loaded and processed using d3.csv and d3.nest.

PPakcheera Choppradit

PM2.5 For Selected Country

This visualization displays PM2.5 air pollution trends for a selected country from 2010 to 2017 using a multi-line chart. A dropdown menu allows users to switch between countries, updating the line path to show that nation’s annual mean exposure values. The code uses D3 v5 with React, employing `d3.line`, `d3.scaleLinear`, `d3.axisLeft`, `d3.axisBottom`, and `d3.nest` to process and render the data. It also uses a custom `colorLegend` component and `foreignObject` for the dropdown UI. Data originates from a Kaggle dataset loaded via a Gist URL.

Iivaleehan

PM2.5 Air Pollution Trend

This visualization presents PM2.5 air pollution trends from 2010 to 2017 for 240 countries, with each country’s annual mean exposure drawn as a thin, semi-transparent line over time, revealing a sharp global dip in 2014 followed by a rebound in 2015. Built with the vega-lite-api and D3.js, it loads CSV data from a GitHub Gist via `d3.csv`, then melts the dataset into a tidy format before rendering line marks with tooltips. The code customizes axis styles, hides the domain, and uses a dark color scheme to improve readability, with the view auto-sizing to the browser window.

PM2.5 For Selected Country

This visualization shows the annual PM2.5 air pollution trend for a selected country from 2010 to 2017, with the user choosing the country via a dropdown menu. It uses D3 v5 with React, rendering an SVG line chart with axes, a color legend, and a title. The data comes from a Kaggle dataset on global air pollution, processed and structured per country. Key APIs include `d3.csv`, `scaleLinear`, `line`, `nest`, and `axisBottom`.

PPakcheera Choppradit