Fork of HTML Starter

100%

Fork of HTML Starter

✓ Published0🌍 Public

Last edited Oct 25, 2024

Created on Oct 16, 2024

This interactive horizon chart visualizes air pollution measurements across multiple monitoring stations, allowing users to explore data by month, pollutant type (PM2.5, PM10, NO2, O3, CO, SO2), color scheme, and the number of bands. Built with D3.js version 7, it uses the `d3.csv` loader for external data and renders SVG output. The implementation uses `d3.timeParse` for date handling, `d3.schemeBlues` and related sequential color schemes, and a custom `HorizonChart` function with configurable curves and margins. Users can dynamically filter categories and adjust band intensity through slider controls.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Shapes and Colors with SVG and CSS

This example demonstrates a Horizon Chart for visualizing air pollution measurements across multiple locations over time. The interactive interface allows users to select a specific year/month, pollution class (PM2.5, PM10, NO2, etc.), color scheme from six D3 sequential scales, and adjust the number of bands via a slider. The chart is rendered using SVG, with data loaded from a CSV file via `d3.csv` and processed using `d3.timeParse` and `d3.curveLinear`. The visualization applies the `d3.schemeBlues` through `d3.schemeGreys` color arrays to encode amplitude through color intensity.

Eeyxxr1260@gmail.com

89% match

Loading thumbnail…

Fork of Fork of Shapes and Colors with SVG and CSS

This example shows an interactive horizon chart for air pollution data, letting users compare pollutant levels across six types (SO2, NO2, O3, CO, PM10, and PM2.5) for selected years. The visualization uses D3.js (v7) with an SVG rendering approach, displaying time-series data from a GitHub-hosted CSV dataset. It employs d3.rollup to aggregate measurements and d3.scaleTime for the x-axis, while a dropdown menu switches between annual datasets. The chart updates dynamically by redrawing the SVG elements when the user changes the year selection.

Eeyxxr1260@gmail.com

88% match

Loading thumbnail…

Fork of 1025

This animated horizon chart visualizes air pollutant concentrations (SO₂, NO₂, O₃, CO, PM10) over time, with each band color-coded by pollutant and overlaid to show temporal trends. Users toggle pollutants via switches and select time bands from dropdown menus. The chart is built with D3 v7, using SVG paths, interactive checkboxes, and a fixed tooltip to display values. The update mechanism triggers loaders and redraws the horizon bands dynamically, with pollutants rendered individually and stacked for comparison.

Eeyxxr1260@gmail.com

87% match

Loading thumbnail…

Fork of Fork of Fork of Shapes and Colors with SVG and CSS

This interactive horizon chart visualizes air pollution measurements across Seoul districts, allowing users to compare six pollutants (CO, NO2, O3, PM2.5, PM10, SO2) for selected years (2017–2019) and adjustable band counts. Built with D3 v7 and SVG, it uses `d3.csv` to load data, `d3.schemeBlues` and related color schemes for pollution-specific palettes, and `select` elements with change events to re-render the chart. The SVG dimensions are fixed at 1200×950 pixels, with margins defining the plotting area.

Eeyxxr1260@gmail.com

85% match

Loading thumbnail…

109550187_HW7

This interactive visualization shows air pollution levels across multiple monitoring stations, displaying daily average concentrations for six pollutants (SO2, NO2, O3, CO, PM10, PM2.5) as a series of stacked horizon charts. Users select a year and band number via dropdown menus, which updates React state and triggers D3 to re-render the SVG. The code uses `d3.csv` to load air pollution data from a remote server, `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.mean` to aggregate hourly measurements into daily averages. Each pollutant uses a distinct color scheme, with bands overlaid to encode magnitude.

Ppatricknicholas27@gmail.com

82% match

Loading thumbnail…

Horizon chart

This visualization uses horizon charts to compare six air pollutants (SO2, NO2, CO, O3, PM10, PM2.5) across multiple monitoring stations over time. Each pollutant’s daily median values are rendered as a series of stacked, color-shaded bands, where the number of bands is user-adjustable, revealing amplitude variations. The charts are built with D3.js (v5 and v7), using `d3.rollup`, `d3.area`, and `d3.scaleUtc` to aggregate and lay out the data, with a custom color scheme per pollutant. The interface allows selecting a specific year and band count, updating all six SVG views accordingly.

Sstanley.shen2003@gmail.com

82% match

Loading thumbnail…

Fork of HTML Starter

This fork of the HTML Starter visualizes 156 months of synthetic climate data from 2010 to 2022, combining three variables in a single SVG chart. It shows rainfall as skyblue bars against the left axis, while temperature and CO₂ appear as tomato and green lines against the right axis. The code uses d3.scaleTime, d3.scaleLinear, d3.axisBottom, d3.axisLeft, d3.axisRight, and d3.line to render the axes and paths. Data are generated in-browser with Math.sin, Math.cos, and Math.random.

Ssaiabhishekmunnangi@gmail.com

81% match

Loading thumbnail…

Fork of Fork of Hello VizHub

This visualization shows daily air quality measurements from a Phoenix EPA monitoring site, comparing mean concentrations of four pollutants (NO₂, O₃, SO₂, CO) and an overall AQI value across dates in early January 2000. It renders as a grouped bar chart using D3 v6, with `d3.scaleBand` for the date and pollutant groupings, `d3.scaleLinear` for the y-axis, and `d3.schemeSet2` for categorical colors. Hovering over bars triggers a tooltip via D3’s mouse events. The SVG chart loads data from a CSV file, parsing dates with `d3.timeParse` and formatting axis ticks with `d3.timeFormat`.

Hharshabandi3060@gmail.com

80% match