NBA Radar Chart

Fork of NBA Player Games Played Bar Chart

This interactive radar chart visualizes NBA player performance statistics—points, rebounds, assists, steals, blocks, and turnovers—for a selected team and player from a CSV dataset. Built with React and D3 v5, it uses d3.scaleLinear for each metric axis, positioned radially using trigonometric calculations, and renders SVG circles and paths with animation. Users select a team from a dropdown, then choose a player to display their statistical profile as a polygon overlay on the radar grid.

84% match

NBA Players' Skills Chart

This example presents a spider chart and a pie chart examining NBA player statistics for the 2020-2021 season. The spider chart displays six per-game skill metrics—points, rebounds, assists, steals, blocks, and turnovers—for a selected player, with dropdowns to choose a team and player. The pie chart visualizes the player’s win-loss record. Built with React and D3 v5, the SVG renderings use `scaleLinear` for radial axes, `scaleOrdinal` for colors, and `pie` and `arc` for the pie chart, reading data from a CSV via `csv`.

78% match

Scatter Plot with Color

A scatter plot visualizes NBA player statistics with points colored by rebounds, showing the relationship between points and assists across players. The visualization uses React components with D3 v5 scales, including `scaleLinear` for both axes and `scaleOrdinal` for categorical color mapping. Data loads asynchronously from a CSV file via `useEffect` and `d3.csv`, rendering circles in an SVG with positioned axes.

FFAN CHI YU(范紀予)

77% match

Radial pie - Player statistics

This radial pie chart displays NBA player statistics across multiple seasons, using stacked segments to compare metrics like points, assists, and rebounds. Each state or season forms a slice, with segment lengths representing proportional values from the CSV data. The visualization uses d3.scaleRadial for the radial axis, d3.stack for layering, and d3.arc for rendering paths. SVG output includes custom labels, a legend, and circular gridlines with tick marks, all styled via D3 v4.

WW9183907

77% match

Ddominicmecca07@gmail.com

Fork of NBA Players State Bar Chart

This interactive bar chart displays NBA player statistics for each of the 30 teams, letting viewers select both a team and a specific metric (points, field goals, rebounds, assists, steals, or blocks) via dropdown menus. For rebounds, bars split into offensive and defensive components with a color legend. The chart uses D3's `scaleBand` and `scaleLinear` for axes, renders bars as SVG `rect` elements with hover effects, and draws a mean line using D3's `line` generator. Data comes from a CSV of player stats, and the visualization is built with React and `react-dropdown` for controls.

Fork of NBA Players' Skills Chart

This interactive dashboard visualizes NBA player statistics from the 2020-2021 season, showing a spider chart of six skills (points, rebounds, assists, steals, blocks, turnovers) for a selected player on a chosen team, alongside a pie chart of team wins and losses. Built with React and D3 v5, it uses `scaleLinear` for the radial axes and `scaleOrdinal` for the win/loss color legend. Users can switch teams and players via dropdown menus, and tooltips display exact values for each skill metric. The data is loaded from a remote CSV file.

NBA Players State Bar Chart

This interactive bar chart visualizes NBA player statistics across all 30 teams, with dropdown menus to select a team and a statistical category such as points, rebounds, or assists. For rebounds, bars are stacked by color to distinguish offensive and defensive rebounds. The chart uses React with D3 v5 scales for positioning, renders as SVG, and displays a horizontal line at the mean value for the selected metric. Data comes from a GitHub-hosted CSV of the 2020-2021 season.

Nba Data but better

This interactive bar chart visualizes NBA player statistics, letting viewers switch between points, assists, rebounds, and seasons played using dropdown menus. The visualization uses d3.scaleBand and d3.scaleLinear to position bars, with d3.transition animating bar growth and mouseover effects that dim other bars and display a date tooltip. Data loads from a CSV file via d3.csv, while the custom menu component uses d3.dispatch for change events. SVG rendering includes hover opacity transitions and axis updates.

PPhilip Rago