projet v0

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.

projet v2

This example visualizes the ranking differences of ATP tennis players across tournament rounds, tracking the change in rank against their opponents. It uses a line chart to show the progression for a selected player, with the x-axis representing the rounds from the first round to finals and the y-axis indicating the ranking difference. The code processes a CSV dataset of match results to calculate these differences, then renders the chart using the D3.js library with SVG, employing `d3.scale.ordinal()` for the x-axis, `d3.scale.linear()` for the y-axis, and `d3.svg.axis()` for the axes.

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.

projet debug

This visualization shows the progression of ATP tennis players through a tournament, plotting the ranking difference against their opponents in each round. The code processes match data from a CSV file to extract player rankings and builds a custom dataset that tracks each player’s path through the bracket. A line chart with two line styles (solid and dashed) renders the results, while a reset button allows the view to be refreshed. The visualization uses D3 v3, including the `d3.csv` method for data loading and D3’s SVG axis and line generators.

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.

89% match

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.

88% match

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.

88% match

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.