le cose del tennis

Learn D3.js

A bar chart visualizes tennis match data from the 2009 Australian Open, showing the progression of players through rounds like 'Final', 'semi', and 'quarter'. The chart uses D3.js to generate an SVG, with the page background styled red via inline CSS. The code loads the CSV data file and logs it to the console, while D3's selection and styling methods are used to set up the visualization's canvas.

Ssapan2997

77% match

projet v22

This visualization shows the ranking differences between winners and losers across the rounds of a Grand Slam tennis tournament, with each player represented as a line tracking their progress from the first round through the finals. The SVG chart uses two line styles—a solid steelblue line for wins and a dashed line for losses—and includes a reset button to reinitialize the animation. Built with D3 v3, the code loads ATP match data from a CSV file, parses player rankings, and constructs a parallel-coordinates-style plot with an interactive tooltip.

76% match

projet v15_test

This visualization tracks the progression of tennis players’ ranking differences across seven tournament rounds, using a line chart built with D3 v3’s SVG utilities. The code parses a CSV dataset, assigns missing ranks to unranked players, and constructs a multiseries display where each line represents a player, with solid segments for wins and dashed segments for losses. The chart uses D3 scales, axes, and grid lines, with a steelblue stroke for the lines. The underlying data comes from the provided `test_atp.csv` file, and the visualization is rendered entirely in SVG.

75% match

projet

This visualization displays the evolution of 32 tennis players' ranking differences from their opponents across seven tournament rounds, from the first round through the finals. Multiple colored lines trace each player’s path, showing the rank gap between the player and their opponent at each stage. Built with D3.js v3, it uses SVG for rendering, with an ordinal x-axis for rounds and a linear y-axis for rank differences. The data comes from a CSV file containing ATP match information, parsed using d3.csv.

75% match

projet v12

This visualization plots the ranking differences of 128 tennis players across seven tournament rounds, showing how each player's rank compares to their opponent's rank in each match. The SVG chart displays multiple line series, one per player, using blue strokes to trace the progression of ranking gaps from the first round through the finals. The code loads match data from a CSV file, calculates rank differences, and constructs a data array for each player before rendering the lines with d3.svg.line and d3.scale.ordinal for the x-axis.

projet vfinal

An interactive line chart visualizes player rankings from ATP tennis tournament match data. The visualization uses D3.js (v3) to parse CSV match results, track individual player progression through tournament rounds, and display the difference between player rankings and their opponents' rankings. Animated SVG paths with dashed and solid line styles represent player trajectories, while a reset button and tooltips provide interaction. The code also includes dataset files and uses the `d3.csv` function to load and process the external tennis tournament data.

projet v0

This visualization tracks the progress of a single ATP tennis player through seven tournament rounds, plotting the ranking difference between the player and each opponent as a line chart. The blue line uses `d3.svg.axis` and `d3.scale.ordinal` for the round labels, with a linear y-scale for ranking gaps. Data is loaded from `test_atp.csv` and processed into per-player match results, though only one indexed player’s path is displayed.

projet final

This interactive visualization tracks tennis players’ progress through a Grand Slam tournament, showing the ranking difference against each opponent across seven rounds. Each player appears as a node on a line chart, with separate paths for wins and losses, and a button resets the view. Built with D3.js v3, it loads ATP match data from CSV files, processes player rankings and match outcomes, and renders the animated SVG chart with axes, grid lines, and tooltips.