projet

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.

94% match

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.

92% match

projet v11

This example visualizes the progression of 128 tennis players through the seven rounds of a tournament, plotting the difference between each player’s ranking and their opponent’s ranking at each stage. The code builds player and result objects from a CSV file, tracking wins and losses by matching named winners and losers. It renders colored SVG line paths using d3.v3, with an ordinal x-axis for rounds and a linear y-axis for ranking differences. The dataset is loaded via `d3.csv`, and the visualization uses generic SVG elements and axes without any interaction.

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 v11

This example visualizes the progression of 128 tennis players through the rounds of a tournament, showing the difference in ranking between each player and their opponent at each stage. The code loads match data from a CSV file, processes it to track each player's path, and renders multiple line charts using D3.js version 3 with SVG. The charts display ranking differences across the rounds, with blue lines connecting data points for each player on a shared 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 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.

90% 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.