Skip to main content
SimilarExport ZIP
100%

ICE-5: The Shapes of Data

✓ Published2🌍 Public
Ppvvaishnavi93@gmail.com
Last edited Feb 27, 2026
Created on Feb 27, 2026

This example loads a CSV dataset on study focus logs via `fetch` and `d3.csvParse`, then displays summary statistics including file size, row count, and column count. It renders a small SVG visualization using D3 v7, where the first ten rows are represented as horizontal bars whose widths increase with row index, alongside row labels. The page is styled with basic HTML and CSS, and the data URL is displayed for reference.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of ICE-5: The Shapes of Data

This example, titled "ICE-5: The Shapes of Data," summarizes a CSV dataset by displaying its file size, row count, and column count. It fetches a remote CSV file using `fetch` and parses it with `d3.csvParse`, which returns a table object. The visualization renders a simple SVG bar chart where each bar’s width corresponds to its row index, using D3’s `select` and `join` APIs. The bars are drawn as rectangles, with row labels added as text elements, offering a basic overview of the dataset's structure.

Ppvvaishnavi93@gmail.com
91% match
Loading thumbnail…

ICE5 – Study Focus Log (D3 + CSV)

This example summarizes a remote CSV dataset (a study-focus log) and displays basic file metadata alongside a simple generative SVG bar chart. It shows the dataset’s file size, row count, and column count in three stat cards, then uses D3.js (v7) to draw ten horizontal bars whose widths depend on their row index, with row labels to the right. The code fetches the CSV text, parses it with `d3.csvParse`, and renders the SVG using D3’s selection API (`d3.select`, `join`, and attribute setters).

Ppvvaishnavi93@gmail.com
89% match
Loading thumbnail…

ICE5 – Study Focus Log (D3 + CSV)

This example visualizes the structure of a CSV dataset containing study focus logs. It loads the data from a GitHub Gist and presents a summary card showing the file size, row count, and column count. Below the summary, a simple SVG bar chart represents the first ten rows of data, with horizontal bars and row labels. Built with React and D3 v7, the code uses `d3.csvParse` to parse the dataset and the D3 selection API with `.join` and `.attr` to construct and style the SVG elements directly in the browser.

Ppvvaishnavi93@gmail.com
89% match
Loading thumbnail…

ICE5 – Study Focus Log (D3 + CSV)

This example visualizes the structure of a CSV dataset containing study focus logs. It loads the data from a GitHub Gist and presents a summary card showing the file size, row count, and column count. Below the summary, a simple SVG bar chart represents the first ten rows of data, with horizontal bars and row labels. Built with React and D3 v7, the code uses `d3.csvParse` to parse the dataset and the D3 selection API with `.join` and `.attr` to construct and style the SVG elements directly in the browser.

Ppvvaishnavi93@gmail.com
89% match
Loading thumbnail…

ICE-5: Data visualization

This example demonstrates a web page that displays the file size, row count, and column count of a CSV dataset, alongside a static SVG graphic titled "star.svg." The page uses D3.js version 7.3 to fetch the remote CSV file via `d3.csv`, then formats and injects the summary statistics into a styled `<pre>` element. The rendering is plain HTML and CSS, with a React framework noted in metadata but not used in the visible markup. The SVG contains simple geometric shapes with gray and blue fills.

Ssowmyanagula@my.unt.edu
88% match
Loading thumbnail…

ICE-5

This example presents a summary of a CSV dataset, displaying file size, row and column counts, and a preview of the first five records in an HTML table. It also includes a static SVG graphic with basic shapes and text. The code uses D3.js version 7 to fetch and parse the CSV data via `d3.csv` and the browser’s `fetch` API for file size, populating the summary and table dynamically. The rendering relies on SVG elements defined in the markup and styled with CSS.

MMd Fahimul Kabir Chowdhury
88% match
Loading thumbnail…

ICE - 5 : Loading and Parsing Data with D3.js

This example demonstrates how to load and parse a CSV dataset using D3.js v7, displaying the file size, row count, and column count in a large text element. The visualization includes two inline SVGs: a decorative illustration and a chart-like graphic with rectangles, lines, and drop shadows. The code uses `d3.csv()` to fetch data from a GitHub Gist URL and `d3.csvFormat()` to compute the raw data size in kilobytes. The page relies on React for structure and standard CSS for styling.

CChaitanya Galla
87% match
Loading thumbnail…

ICE-5 loading and parsing data with D3.js

This visualization demonstrates how to load and parse a remote CSV file using D3.js v7. The example fetches a raw CSV dataset hosted on GitHub and displays summary statistics about the data, including its size in kilobytes, row count, and column count, within a styled HTML page. It utilizes the `d3.csv` function to asynchronously retrieve and parse the data, then leverages `d3.csvFormat` to calculate the data's byte size. The page uses simple CSS for minimal styling and JavaScript to handle the loading process and update the message container.

Vvidhyanamini
87% match