A4 - Bar
This bar chart visualizes the average expected goals (xG) for English Premier League teams, comparing home versus away matches. The data is loaded from a CSV file and processed using `d3.csv` and `d3.mean`. The visualization uses `d3.scaleLinear` and `d3.scaleBand` to map values, with bars rendered as SVG rectangles. A title and axes are added using `d3.axisLeft` and `d3.axisBottom`. The bars animate a color transition from steelblue to red using `transition`, while the page includes a video tutorial link. The rendering is SVG-based with dynamic interactivity.
AI-generated descriptionA 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
mainfunction exported fromindex.js - The
mainfunction takes an argumentcontainer, a DIV that has measurable dimensions usingclientWidthandclientHeight - The second argument to
mainis an options object containingstateandsetState. - The state of the application is stored in
state, which is initialized as an empty object{}. - The
setStatefunction 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.