ICE-7 Hasini Reusable Scatter Plot

ICE-6 Hasini

This example visualizes total Quidditch points per player as a horizontal bar chart, with bars sorted from highest to lowest and value labels placed beside each bar. Built with React and D3 v7, it uses a custom CSV parser to load and aggregate player-points data, then renders SVG marks via `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.max` for domain calculation, with grid lines and formatted tick labels from `d3.format`.

86% match

ICE-6 ScatterPlot

This interactive scatter plot displays individual match points against total career points for players, with each point’s color corresponding to their Hogwarts house. Built with React and D3 v7, it loads tabular data via `d3.csv` and renders circles as SVG elements. The axes are generated using `d3.axisBottom` and `d3.axisLeft`, while linear scales (`d3.scaleLinear`) map the data domains to pixel ranges. The visualization highlights house-based distributions in the dataset, which is fetched from a GitHub gist.

85% match

ICE-7 Hasini Pie Chart

This pie chart visualizes the distribution of Quidditch house points from a CSV dataset, aggregated by house and displayed with labeled slices and an HTML legend. It uses D3 v6’s `d3.pie` and `d3.arc` generators to compute angles and paths, while a `d3.scaleOrdinal` assigns house colors. The SVG renders slices and text labels, and a separate legend div shows total points and percentages.

84% match

ICE-6 Hasini Scatterplot

This scatter plot displays the highest individual score for each player in a dataset, with points colored by the player’s Hogwarts house. The x-axis uses a categorical band scale for player names, rotated for readability, while the y-axis linearly maps scores. Built with React and D3 v7, the visualization uses `d3.csv` for data loading, `scaleBand` and `scaleLinear` for axes, and SVG circles for marks. Data is aggregated to show each player’s maximum score, with tooltips revealing details.

84% match

ICE-7 Hasini Line Chart

This line chart shows the cumulative Quidditch points for four Hogwarts houses across match numbers, with each house represented by a distinct colored line and a legend. The visualization uses D3.js 6.7.0 with a linear x-scale for match numbers and a linear y-scale for points, rendering SVG paths via `d3.line` and axis generators. Data is loaded as CSV text from a GitHub gist and processed in `index.js` to compute per-house cumulative totals, while `lineChart.js` handles the chart structure and styling.

ICE-6 Mutli Series Hasini

This visualization of Quidditch match performance combines a dark-green bar chart for goals scored with a gold line and points for snitch catches across successive matches. The data is aggregated from a Gist CSV file, grouped by match number using `d3.group`, and rendered as SVG. The chart features dual y-axes, a left axis for goals and a right axis for snitch catches, generated with `d3.axisLeft` and `d3.axisRight`. The code uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for both y-axes, and `d3.line` for the trend line, within a styled container with a legend.

ICE-6

This horizontal bar chart displays total Quidditch points earned by players from a CSV file, with bars colored by Hogwarts house (Gryffindor, Hufflepuff, Ravenclaw, Slytherin) and labeled with each player's point total. The visualization loads data via `d3.csv`, aggregates points per player using JavaScript's `reduce`, and renders SVG elements through React components. Axis ticks, grid lines, and bar labels are generated using `d3.scaleBand`, `d3.scaleLinear`, and `d3.format`, while the chart layout is defined by explicit margin and size constants.

ICE 6

This horizontal bar chart displays total Quidditch points aggregated per player from a CSV file, sorted from highest to lowest. The visualization uses React to manage state and render SVG marks, while D3 version 7 handles data loading via `d3.csv`, scaling with `scaleBand` and `scaleLinear`, and formatting with `format`. An indigo bar per player encodes point totals on the x-axis, with player names labeled on the y-axis and value labels at each bar’s end. Grid lines and tick labels along the x-axis aid quantitative comparison.