Scatter Plot with Color

100%

Scatter Plot with Color

✓ Published0🌍 Public

Last edited Oct 18, 2022

Created on Oct 16, 2022

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.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Colorful Scatter Plot of NBA 2018-2019 Playoffs with Menu

This interactive scatter plot visualizes player statistics from the NBA 2018-2019 playoffs, with each circle representing an individual player’s performance across two selectable attributes. Dropdown menus let users switch between metrics like points, assists, and rebounds, while hovering over the team legend highlights players from that team and fades the rest. Built with React and D3 v5, it uses `scaleLinear` for axes, `scaleOrdinal` for team colors, and SVG circles with hover tooltips to reveal player names. The data comes from a Kaggle dataset of basketball player stats per season.

ZZiyang Gao

85% match

Loading thumbnail…

Interactive Highlighting Colorful Scatter Plot of NBA 2018-2019 Playoffs with Menu

This interactive scatter plot visualizes NBA 2018-19 playoff player statistics, where each circle represents a player and its position reflects selected attributes like games played or points. Users can switch between different statistical measures via dropdown menus and hover over the team legend to fade other teams, employing d3.scaleOrdinal for color mapping and d3.scaleLinear for axes. The plot uses React with D3 v5 for rendering SVG marks, and data comes from a Kaggle basketball dataset, filtered for playoff performance.

ZZiyang Gao

84% match

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This reusable scatter plot, built with D3.js, visualizes the NBA dataset from a GitHub Gist, with each point representing a player. It shows the relationship between two selected attributes—initially petal width and sepal length—while coloring the points by team abbreviation. The plot’s axes and circles are rendered as SVG, with an animation cycling through four different attribute combinations every two seconds. The implementation uses D3’s `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` APIs to construct the chart dynamically.

FFAN CHI YU(范紀予)

82% match

Loading thumbnail…

NBA Player Efficiency Scatter Plot

This interactive scatter plot visualizes NBA player statistics from a CSV dataset, showing minutes played on the x-axis while the y-axis can be switched between points, rebounds, assists, steals, and blocks via a dropdown menu. Each dot represents a player, colored using d3.scaleSequential with an interpolatePuRd interpolator based on scoring efficiency (y-value divided by x-value). The visualization uses D3 v6 with SVG rendering, featuring hover interactions that reveal player names via appended titles, and smooth transitions when updating the y-axis selection.

YYichen Li

80% match

Loading thumbnail…

2012 NBA Combine Scatter

This interactive scatter plot visualizes physical attributes and career performance metrics of NBA players from the 2012 combine. Users select any X and Y attribute from dropdown menus, while the circle color encodes player position. Hovering a data point reveals its exact value; hovering the color legend highlights only players of that position. The visualization uses D3’s `scaleLinear` and `scaleOrdinal` for axes and color, React for state and rendering, and SVG for marks, with data processed from a CSV via `d3.csv`.

AAnthony Ynami

80% match

Loading thumbnail…

Fork of NBA Player Efficiency Scatter Plot

The scatter plot visualizes NBA player statistics, displaying player efficiency with darker dots representing higher points-per-minute ratios. The x-axis shows minutes played, while the y-axis can be switched between points, rebounds, assists, steals, and blocks. Built with D3 v6 using SVG, the visualization includes dropdown menus for axis selection and hover tooltips revealing player names. The code uses d3.scaleLinear, d3.scaleSequential with the interpolatePuRd color scale, d3.axisLeft, and d3.axisBottom, with animated transitions updating circle positions and colors when the selected statistic changes.

YYichen Li

80% match

Loading thumbnail…

Scatter Plot Example

This scatter plot visualizes a dataset of x and y coordinates as colored points on a linear scale. The code uses D3.js v6 to create an SVG rendering with x and y axes, and colors each circle based on its index. The visualization demonstrates basic scatter plot construction with d3.scaleLinear for mapping data values to screen coordinates, and d3.axisBottom and d3.axisLeft for displaying the axes. Labels are added to both axes to indicate the plotted dimensions.

BBhavanaGIrni

79% match

Loading thumbnail…

NFL Scatter Plot

This scatter plot visualizes NFL player performance by plotting fantasy points against targets for the 2021 season, with player positions (RB, WR, QB) color-coded. The visualization uses D3.js v7 APIs such as `scaleLinear`, `axisLeft`, and `axisBottom` to create the axes and render SVG circles. Data is loaded asynchronously from a CSV hosted on GitHub using the `csv` method, and the drop-down menus for axis selection are present but not yet wired to update the chart.

AArturo Guevara

79% match