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A4 - boxPlot

✓ Published0🌍 Public
RRavneet Singh Bhatia
Last edited Feb 21, 2024
Created on Feb 21, 2024

This example visualizes the total expected goals (xG) accumulated by football teams in home games using a box plot. The chart displays the distribution of these values across all teams, with the box representing the interquartile range and whiskers extending to the minimum and maximum within 1.5 times the IQR. The code loads CSV data from a GitHub gist using `d3.csv`, aggregates values with `d3.rollup`, and computes quartiles with `d3.quantile`. The visualization is rendered as SVG using D3 scales, axes, and shape primitives.

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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