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@kumar-danam·3 public vizzes

ICE-5-KUMAR-DANAM-Q3

This example displays the first five rows of a CSV file in a styled HTML table with a dark, glassmorphism-inspired design. The page uses D3.js v7 to fetch and parse the remote CSV data, dynamically generating table headers from the dataset’s columns and populating rows with the corresponding values. The interface includes a sidebar and top bar, while CSS provides a responsive layout with hover effects and backdrop filters. The implementation relies on `d3.csvParse` and D3 selections to build the table structure.

Oct 4, 2025

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This visualization displays a summary and preview of a CSV dataset by fetching it from a remote URL. It uses D3 v7’s `d3.csvParse` to parse the text, then presents file size, row count, and column count in styled stat cards. The code renders the first five data rows into an SVG-backed HTML table using D3’s `select`, `append`, and data joins, with custom CSS for a dark, glassmorphism-themed layout. The example demonstrates basic D3 data loading, parsing, and DOM manipulation for tabular data exploration.

Oct 4, 2025

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ICE-5-KUMAR-DANAM

This example presents a dashboard-style summary card for a CSV dataset, displaying file size, row count, and column count in a polished, modern interface. Built with D3.js v7, the visualization fetches remote CSV data and uses the `d3.csvParse` API to parse the text, then dynamically injects the summary statistics into the DOM via `d3.select().html()`. The page features a gradient header with a decorative SVG wave path, styled with custom CSS for a luxurious card layout and hover effects.

Oct 4, 2025