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This example shows a car price area chart, displaying a univariate trend over time with a shaded region beneath the line. The visualization uses D3.js v6, with `d3.area` and `d3.line` generators to construct the shape, while `d3.scaleTime` and `d3.scaleLinear` map data to the x- and y-axis. The chart reads data from an external source and renders it into an SVG container defined in the HTML. Axes are drawn using `d3.axisBottom` and `d3.axisLeft`, providing clear temporal and price references.

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This scatter plot visualizes car performance by plotting speed (km/h) against fuel efficiency (mpg) for five car models over four years. Each point represents a single year’s data, with distinct colors (red, blue, green, orange, purple) assigned per car brand, sourced from an embedded CSV table. Built with D3 v6, the SVG chart uses `d3.scaleLinear` for axes and `d3.axisBottom`/`d3.axisLeft` for ticks, while circles are appended via `.selectAll().data().enter()`. The code shows a static rendering with `svg` output, and no animation or interaction is implemented.

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Fork of Fork of Hello VizHub

This example displays a scatter plot of car performance, comparing speed against fuel efficiency for five car models across four years, from 2020 to 2023. Each car is distinguished by a unique shape and color, such as circles for Car A and triangles for Car C, revealing trends in the trade-off between speed and efficiency over time. The visualization uses D3.js v6 to create an SVG with linear scales for both axes, rendering each data point as a `path` element with a `d` attribute generated from the shape definitions. Axis labels and tick formatting are added using `d3.axisBottom` and `d3.axisLeft`, with the data embedded directly in the script.

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Fork of Hello VizHub

This scatter plot visualizes car performance over four years, with speed on the x-axis and fuel efficiency on the y-axis. Each point represents a specific car-year observation, and five distinct cars are differentiated using custom SVG path shapes: circles, squares, triangles, diamonds, and crosses. The visualization uses D3 v6 to create linear scales (`d3.scaleLinear`) and axes (`d3.axisBottom`, `d3.axisLeft`), with the data defined as a hardcoded JavaScript array. The SVG rendering applies a fixed domain for speed and efficiency, and the code styles points with a stroke and fill via a CSS class.

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Fork of Fork of line chart section 3

A line chart displays car sales data from India across the years 2013–2021, with year on the x-axis and total sales on the y-axis. The visualization uses D3 v5’s `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, and `line` generators to render an SVG path with red strokes. Data is loaded via `csv` from a GitHub Gist, with parsed years and numeric population values. Grid lines and axis labels are styled through CSS classes applied to the SVG elements.

Bbhargavarathod

Kkovuribalanagavinay@gmail.com

Fork of Fork of area chart

This example displays the average car price by brand as a single filled area, using a dataset of ten automotive manufacturers. The visualization encodes brands along the x-axis with a point scale and prices on the y-axis with a linear scale, producing a smooth area path that highlights price variations across brands. The chart is rendered as an SVG using D3 v7, with the area generated by the `d3.area()` generator and populated with axes via `d3.axisBottom` and `d3.axisLeft`. Light steelblue fills the area beneath the steelblue stroke, while rotated brand labels on the x-axis improve readability.

Fork of HTML Starter

This area chart visualizes automobile sales in India from 2008 to 2024, highlighting the trend in annual sales figures. The visualization uses D3.js v5 with SVG rendering to draw both a smooth line and an area fill beneath it, employing `scaleTime` for the temporal x-axis and `scaleLinear` for the y-axis. Data is loaded from a CSV file, parsed with `d3.timeParse` for dates, and rendered with `line()` and `area()` generators using `curveBasis` for smooth interpolation. The chart includes labeled axes and a titled heading, with the area styled in a light green tone.

Ppavan vasamsetti

Fork of Area Chart

This fork of an area chart visualizes car sales in India from 2009 to 2019, combining a smooth line and a filled pink area to emphasize the sales trend over time. The SVG chart uses D3 v5's `scaleTime`, `scaleLinear`, `line`, and `area` generators with `curveBasis` for smoothing, along with `axisBottom` and `axisLeft` for labeled axes. Data is loaded via `csv` from a GitHub gist, and the year values are parsed with `d3.timeParse`.

Ppravallikayaram12