projet v15_test

projet v13

This visualization tracks the progression of tennis players through a Grand Slam tournament, showing the difference in ranking between each player and their opponents across seven rounds from the first round to the finals. The code processes match data from a CSV file to build a dataset of wins and losses for each player, then plots these ranking differences as lines on an SVG chart. It uses d3.v3 to parse the data, create scales, and render the line paths, with solid lines representing actual wins and dashed lines for predicted or simulated outcomes.

91% match

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.

90% 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.

90% 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 v20

This visualization tracks the progress of tennis players through a tournament, plotting the difference in their ranking against their opponents at each round. It shows the trajectory of individual players with lines, where wins and losses are marked, and a reset button allows the view to be refreshed. The visualization is built with D3 version 3 and uses SVG for rendering, with animation for interactive feedback. Data is loaded from CSV files containing tournament results, and the code uses D3's `d3.csv` function to parse the data, while custom logic calculates ranking differences.

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.

projet

This example visualizes the progression of tennis players through the rounds of a tournament, tracking the ranking difference against each opponent. The code loads match data from a CSV file and constructs a player-by-player record of wins and losses across seven rounds. Using D3.js v3, it processes the data to compute ranking gaps and structure results in a JSON object containing round, difference, status, and opponent information for each player. The visualization is built with SVG, though the current implementation logs the processed data to the console without rendering a chart.

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.