projet

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 v17_select line

This visualization tracks the progression of tennis players through the 2016 Australian Open, showing each player’s ranking difference against their opponent across seven rounds. The chart encodes wins and losses with solid versus dashed lines, using a custom dataset of player rankings extracted from the ATP match data. Built with D3 v3, the code parses the `test_atp.csv` file to construct per-player trajectories, then renders them as SVG line charts with grid lines and axes.

89% 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.

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.

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 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.

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 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.