Honda CR-V 2021 rental in Dublin, CA by Andy C.

HTML Cars Report

This example shows a simple HTML cars report listing three used vehicles with prices, alongside a hand-coded SVG visualization. The SVG displays colored circles and rectangles, including a translated group with blue shapes, and a line path with rounded joins. The code demonstrates basic D3 version 6 usage indirectly through the embedded tutorial video, while the SVG rendering uses core APIs like `transform`, `scale`, and `translate`. Styling is handled via CSS classes such as `.highlighted` and `.lines`, which apply red text and black stroke properties respectively.

Nngannie

HTML Cars Report

This example presents an interactive HTML-based report that visualizes automobile data as a dynamic, animated display. The page uses SVG for rendering and employs the D3.js library for force simulations and data binding, with a YouTube video embedded for additional context. The visualization’s layout and movement are driven by `d3.forceSimulation`, while SVG elements are manipulated through standard D3 selections and transitions. The report is contained in a single HTML file, with the chart’s structure and styling defined inline, and the video starting at a specific timestamp to highlight relevant features.

Ggharakhani1986

HTML Cars Report

This example displays a simple HTML report of car listings alongside a static SVG graphic of a smiling face. The page uses D3 v6 to load car data from a Consumer Financial Protection Bureau CSV file via `d3.csv`, logging its load progress to the console. An SVG face is constructed with `d3.select` and `append`, featuring a yellow circle, eyes, and a mouth drawn using the `d3.arc` generator. The right eye animates its radius through `transition.attr`, while CSS styles highlight the first list item in red and recolor the SVG path strokes.

Zzocean

Cars Report

This example displays a single car make, “Honda,” from a small JSON dataset of five used cars, rendered as oversized text on a dark, centered page. The visualization uses a plain HTML `<pre>` element and JavaScript to parse the embedded `carsJSON` string, then writes the first record’s `make` property into the page via `document.getElementById`. Styling relies on CSS with the Ubuntu font, while data imports come from the `cars` module and rendering is handled by the browser’s DOM API, with no external visualization libraries.

RRod Potter

Llohitsai.nikkil@gmail.com

automobiles

This example displays a summary, a preview table of the first five rows, and a static SVG flower illustration for a 100-row car dataset embedded as CSV. The page uses D3 v7 to render the data summary and table into the DOM, while the decorative SVG flower is drawn with basic shapes. It works offline in VizHub, with an optional CSV_URL variable for loading an external dataset.

Cars Report

This example displays a single car make—Honda—in large text on a dark page, sourced from a JSON array of five car objects with year, make, model, and price fields. The code imports the `cars` data from `cars.js`, logs the first car’s make to the console, and updates the HTML element with the ID `message-element` using `document.getElementById().textContent`. The visualization relies on a simple DOM manipulation approach rather than D3, though the project metadata lists D3 v5 as available. The styling uses the Ubuntu font from Google Fonts with a high-contrast color scheme.

SSameer.

Ppatricknicholas27@gmail.com

109550187_HW8

This visualization uses a Sankey diagram to show the flow of car attribute combinations from the UCI Car Evaluation dataset, sourced via a remote CSV file. It displays how categorical values for buying price, maintenance cost, doors, persons, luggage boot, and safety connect sequentially. The D3.js v4 code employs `d3.sankey()` for layout, `d3.csvParse` for data ingestion, and SVG rendering with `d3.drag()` for interactive node repositioning. Link stroke width represents frequency, while color encodes distinct source nodes.

firstt

This interactive world map visualizes 2024 automobile metrics across ten major markets, using D3.js v7 with SVG rendering. Users toggle between choropleth coloring by total vehicles or EV sales, while circle size encodes EV sales and circle color represents average car price. Hovering reveals detailed metrics via tooltip. The visualization leverages d3.geoPath with world-atlas TopoJSON data, d3.csv parsing, and dynamic legend updates with transition animations.

119h61a05c9@cvsr.ac.in