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This example demonstrates a student data dashboard that loads a CSV file containing student names, ID numbers, color codes, favorite subjects, and team names. It displays summary statistics for total students, unique subjects, and unique teams, alongside a bar chart showing team membership counts rendered with D3 v7's `d3.rollups` and `scaleBand`/`scaleLinear` APIs. The page also features color swatch cards and a preview table, with data fetched via the `d3.csv` method and custom canvas rendering for the SVG bar chart.

82% match

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This visualization summarizes student and sports data from a CSV file, displaying key statistics such as total student count, unique favorite subjects, and the top team. It presents these findings in a simple SVG bar chart that shows team counts, with axes labeled using D3's `d3.axisBottom` and `d3.axisLeft`. The data is loaded via `d3.csv` and processed using `d3.rollups` and `d3.scaleBand`, resulting in an accessible chart with a summary section and rotated x-axis labels for readability.

80% match

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This visualization summarizes a student sports dataset, showing a bar chart of team counts alongside text statistics for total students, unique subjects, and the top team. The code uses `d3.csv` with `d3.autoType` to fetch and parse the data, then `d3.rollups` with `d3.descending` to compute team frequencies. An SVG bar chart is rendered using `d3.scaleBand` and `d3.scaleLinear`, with axes drawn via `d3.axisBottom` and `d3.axisLeft`. The page structure and styling come from the accompanying `index.html`, `styles.css`, and `script.js` files.

79% match

Vvenigallajaanu@gmail.com

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A bar chart displays average marks per subject, computed from a CSV dataset of student scores. The visualization uses D3.js v6 to load the data, calculate averages with `d3.mean`, and render SVG rectangles scaled by `d3.scaleBand` and `d3.scaleLinear`. Axes are added via `d3.axisBottom` and `d3.axisLeft`, with labels and a title. Bars turn orange on hover through CSS, and the chart includes rotated x-axis tick labels and clear axis annotations.

Bbharathavulapati@gmail.com

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This visualization presents a summary of a student performance dataset, displaying the file size in kilobytes, the number of rows, and the number of columns as highlighted statistics on a styled card. The page fetches a CSV file from a GitHub gist and uses the D3 v7 library’s `d3.csvParse` method to parse the text, then calculates and writes the results into the HTML via the `innerHTML` property. The data source and rendering approach are evident through the fetch call and the CSS-styled output.

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This example presents a dashboard for customer data, featuring a summary of key statistics, a data table, and a prominent SVG visualization. Built with D3.js (d3 v7) and rendered as SVG, the page loads a CSV dataset from a GitHub gist and displays it within a polished, gradient-styled interface. The code uses standard DOM manipulation and D3's data-binding capabilities to populate the visual elements.

AAmrit Adhikari

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This bar chart displays the average subject score for each favorite subject, with bars animating upward on load. Hovering over a bar turns it red and shows a tooltip with the exact value. Using D3 v7, the visualization fetches DSV data from a gist, parses it with `d3.dsvFormat`, aggregates values via `d3.rollup` and `d3.mean`, and renders an SVG with `scaleBand` and `scaleLinear` axes. Interactive transitions use `transition().duration()`, while mouse events update tooltip visibility and bar color.

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This visualization displays individual student subject scores as orange bars alongside skyblue bars representing the average score for each favorite subject. The bar chart animates upward on load using D3 transitions, with hover interactions changing bar color and showing a tooltip with the exact score. The code uses d3.text to load tab-separated data from a GitHub gist, d3.rollup to compute means, and d3.scaleBand with d3.axisBottom and d3.axisLeft to render the SVG chart.