ICE-5

Fork of ICE5

This example displays metadata about a dataset of top Spotify songs from 2010–2019, including the file size, number of rows, and columns, in a text message on the page. It uses D3 v7's `d3.csv` and `d3.csvFormat` to load and measure the CSV file from a GitHub Gist, then updates the DOM via `document.getElementById` to show the computed statistics. The page also incorporates a custom CSS background image and Aquamarine background color, with the data link presented as a hyperlink.

PPrathyusha Jampala

ICE5

This example displays metadata from a store dataset, including row count, column count, and file size, presented as text on a styled HTML page with a background image. It fetches a CSV file from a GitHub Gist using D3’s `d3.csv` function, then formats the data with `d3.csvFormat` and calculates its size in kilobytes. The visualization is rendered with plain HTML elements, including headings and a `<pre>` block, styled by a linked CSS file, and uses React only as a framework reference. The page relies on D3 v7 and JavaScript for data retrieval and message assembly.

SSravaniPosina

ICE5

This example displays the metadata of the most browsed songs in 2021, including file size, row count, and column count, on a page with a decorative background. It loads a CSV dataset using `d3.csv` and computes the message text with `d3.csvFormat` and `Math.round`. The page uses D3 v7, vanilla JavaScript, and CSS to present the information, with the result inserted into a `<pre>` element via `textContent`.

DDeeraj Thakkilapati

ICE 5

This example reads a CSV file from a GitHub gist and displays summary statistics about its size and structure. The visualization first fetches the data using the D3 CSV parser, then calculates the total data size in kilobytes by formatting the content, and finally reports the row and column counts. The output is rendered as plain text within a black-styled HTML `<pre>` element. D3 v7 is used solely for CSV loading and formatting, while the page layout relies on basic HTML and CSS styling.

RRobFaj

ICE-5

This example displays summary statistics about a film dataset loaded from a GitHub-hosted CSV file, showing the data’s size in kilobytes, row count, and column count. The page uses D3.js v7 to fetch and parse the CSV with `d3.csv`, formats the results via `d3.csvFormat`, and updates the text content of an HTML `<pre>` element. A static SVG background image is embedded as a data URI, while CSS styles apply layout and heading colors. The visualization focuses purely on textual data metrics rather than graphical charts.

BBhanuMotupalli

ICE 5.js

This example demonstrates loading a CSV file from a GitHub gist and parsing it with d3.csv to display summary statistics—file size in kilobytes, row count, and column count—inside a styled <pre> element. The page uses D3 v7 to fetch and format the data, then updates the DOM via textContent. Below the text, a static inline SVG shows decorative geometric shapes, including ellipses and polygons with varied fill colors. The code explicitly uses d3.csv and d3.csvFormat to handle the data conversion and measurement.

Ssaijahnaviappineni

Welcome to ICE-5

This example demonstrates a basic D3.js workflow for loading and summarizing CSV data within a React-based HTML page. It displays a header, a static SVG image, and a text summary showing the file’s size in kilobytes, row count, and column count. The code uses `d3.csv` to fetch the data from a GitHub Gist URL, `d3.csvFormat` to calculate its size, and standard DOM manipulation to insert the summary into a `<pre>` element. Styling is applied via embedded CSS.

SSravan0818

ICE 5

This example displays a simple text summary of a parsed CSV dataset in a large, centered `<pre>` element. It loads anime data from a GitHub gist using D3 v7’s `d3.csv` method, then counts the number of rows, columns, and approximate file size in kilobytes using `d3.csvFormat`. The resulting message is injected into the page with `textContent`. The visualization relies on plain JavaScript promises and DOM manipulation without any chart or graphical rendering.

Aaashrithd4