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AAsrar Al Qassem
Last edited Mar 6, 2024
Created on Mar 6, 2024

This example demonstrates how to load a CSV dataset from a remote URL and display basic information about it, such as file size, row count, and column count, using D3.js. The visualization shows a static text report rendered inside a styled container, with the dataset’s metadata presented in a readable format. The code uses the `d3.csv` function to fetch and parse the data, then computes the formatted CSV string length to estimate size. The `d3.csvFormat` method converts the parsed data back to CSV for size calculation, while `data.length` and `data.columns` provide row and column counts. The result is injected into the DOM via `textContent`.

AI-generated description

A blank slate starting point showing the "Hello World" for the VizHub V3 Runtime Environment, which supports continuous hot reloading with interactive widgets.

  • There is no index.html - that's what triggers the V3 Runtime
  • The entry point is the main function exported from index.js
  • The main function takes an argument container, a DIV that has measurable dimensions using clientWidth and clientHeight
  • The second argument to main is an options object containing state and setState.
  • The state of the application is stored in state, which is initialized as an empty object {}.
  • The setState function can be called with a function that uses the previous state to create a new state object using immutable update patterns.
  • For an interactive example, see Mouse Follower.

Full course playlist: YouTube: Constructing Visualization 2024.

MIT Licensed

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