Skip to main content
SimilarExport ZIP
100%

Fork of Fork of HTML Starter

✓ Published2🌍 Public
SSYAM TEJ
Last edited Oct 5, 2025
Created on Oct 5, 2025

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.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of HTML Starter

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.

SSYAM TEJ
92% match
Loading thumbnail…

Fork of HTML Starter

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.

SSYAM TEJ
91% match
Loading thumbnail…

Fork of HTML Starter

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
85% match
Loading thumbnail…

Fork of HTML Starter

This example demonstrates a simple data-summary dashboard that loads a CSV file and displays basic metadata about its contents. It shows the total number of rows, the names of all columns, and the first data row as a JSON string. The code uses D3.js version 7, specifically `d3.csv` to fetch the dataset from a remote GitHub Gist URL, and then manipulates the DOM with `d3.select` and `append` to render the summary into styled paragraph elements. The visualization is minimal, focusing on text-based output rather than charts, and the data source is a static CSV of Champions League records.

BBALAJI MANDAVA
84% match
Loading thumbnail…

Fork of HTML Starter

This example demonstrates the end-to-end process of loading a remote CSV dataset and generating a data-driven SVG visualization. The page presents key statistics, a preview table of the first five rows, and a custom SVG plot where each mark represents one CSV row, with shape and color mapped to the category column and position determined by row index and value. The implementation uses D3.js v7 to fetch and parse the data with `d3.csv` and `d3.autoType`, then dynamically builds the table and SVG elements using JavaScript DOM manipulation and the SVG API.

Ssakethpapareddy@gmail.com
84% match
Loading thumbnail…

Fork of Fork of STUDENT'S SPORTS DATA VIZ

A bar chart displays the average score for each favorite subject, derived from a CSV dataset via `d3.csv` and aggregated with `d3.rollup`. Bars animate upward from the baseline using `transition().duration(900)`, and hover interactions change fill color and show a tooltip. The visualization uses D3 v7 with SVG rendering, including axes generated by `d3.axisBottom` and `d3.axisLeft`, while subject labels are rotated for clarity. The title and axis labels are added as SVG text elements, and all data is filtered for valid subject and score entries before aggregation.

SSYAM TEJ
83% match
Loading thumbnail…

Fork of HTML Starter

This example loads a user-supplied raw CSV file and presents a data summary alongside a preview table of the first ten rows. The D3 v7 code uses `d3.csvParse` with `d3.autoType` to parse the data, then computes column-level statistics such as minimum, maximum, mean, and unique value counts. A static SVG picture demonstrates five basic shapes—rectangle, circle, polygon, line, and text—styled via external CSS. The interface includes a text input and button for fetching new data URLs, with results rendered into the summary and table containers.

Ppriyankachary1701@gmail.com
83% match
Loading thumbnail…

Fork of Fork of Fork of HTML Starter

This D3.js visualization loads a coffee sales CSV file and displays summary statistics about the dataset on a styled web page. It fetches the remote CSV using the Fetch API, parses it with `d3.csvParse`, and then calculates and displays the file size, row count, and column count in a dedicated summary box. The page also renders a static SVG circle graphic with D3 Data text, combining data loading and parsing with basic stat reporting.

Ssravya7136@gmail.com
83% match