Scatter Plot with Color Legend

100%

Scatter Plot with Color Legend

✓ Published1🌍 Public

Last edited Aug 21, 2022

Created on Aug 21, 2022

This interactive scatter plot visualizes the relationships between four measurements of iris flowers, using color to distinguish species. Built with React and D3, it features dropdown menus that allow users to switch the variables plotted on the x and y axes, and a color legend that maps species to distinct hues. The plot is rendered as an SVG, with axes and ticks generated by the `AxisBottom` and `AxisLeft` components, and circles positioned using `scaleLinear` while colors come from `scaleOrdinal`. Data is loaded from a CSV file via `useData`.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Scatter plot with color legend

This interactive scatter plot of the Iris dataset lets users explore relationships between four flower measurements by selecting which attributes appear on the x- and y-axes via two dropdown menus. Points are colored by species using a color legend built with React components. The visualization uses d3.scaleLinear for positioning, d3.scaleOrdinal for color mapping, and renders axes and marks as SVG elements within a React framework, with data loaded asynchronously via d3.csv.

AAndrea Picciau

95% match

Loading thumbnail…

Scatter Plot with Color Legend

This interactive scatter plot displays measurements from the Iris Dataset, letting users compare four flower attributes (sepal and petal length/width) by selecting which to plot on the X and Y axes. Each point is colored by iris species, with a color legend identifying the three varieties. The visualization is built with React and uses D3’s `scaleLinear`, `scaleOrdinal`, and `extent` functions to map data to positions and colors, rendering circles as SVG elements. Dropdown menus control the axis selections, while D3’s `csv` loads the data asynchronously.

MMario Ibarra

94% match

Loading thumbnail…

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between four measurements (sepal and petal length/width) through dropdown menus that control the x and y axes. Points are colored by species using a d3.scaleOrdinal with a corresponding legend showing the three Iris varieties. The visualization is built with React and D3 v6, rendering SVG circles and axes through custom components like AxisBottom, AxisLeft, and Marks, with data loaded via d3.csv from a remote gist.

CCodeDuckie99

94% match

Loading thumbnail…

Scatter Plot with Colors

This scatter plot visualizes the Iris dataset, allowing users to explore relationships between four flower measurements. The plot displays data points colored by species, using a circle's position to represent the values of the selected x and y axes. Two interactive dropdown menus let users switch which measurement is on each axis. The visualization is built using React components that render SVG elements, leveraging D3 utilities for data loading (`d3.csv`), linear scaling (`d3.scaleLinear`), and color assignment (`d3.scaleOrdinal`).

LLaura Johnson

93% match

Loading thumbnail…

Scatter plot with color legend

An interactive scatter plot of the Iris Dataset allows users to select which flower measurements to display on the x and y axes via dropdowns. The plot uses D3.js v7 scale functions to map data to SVG coordinates and a color legend to distinguish three iris species. The React code renders the plot declaratively, with custom components for axes, marks, and the legend, using D3’s data loading from a CSV URL.

AAlex Stulov

93% match

Loading thumbnail…

Scatter Plot with Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four measured attributes (sepal length/width, petal length/width) across three flower species. Dropdown menus dynamically change the x- and y-axis variables, while a color legend distinguishes species using a d3.scaleOrdinal with categorical colors. Built with React and d3.v5, the SVG-based visualization renders axes via custom components, circles with tooltips, and a color legend that updates proportionally to the selected attributes. Data is loaded asynchronously from a CSV file using d3.csv.

SSam Hege

93% match

Loading thumbnail…

Scatter plot with color legends

This interactive scatter plot visualizes the Iris dataset, allowing users to compare any two flower measurements via dropdown menus while color-encoding points by species. Built with React and D3 v5, it uses `scaleLinear` for axes, `scaleOrdinal` for the categorical color scale, and renders SVG circles through React components. The chart includes a custom color legend and axis components, with data loaded asynchronously from a CSV using D3's `csv` parser.

Zzyniax

93% match

Loading thumbnail…

Scatter plot with interactive color legend

This interactive scatter plot visualizes the Iris dataset, showing relationships between flower measurements selected via dropdown menus. A color legend on the right highlights points by species, dimming all other data when a species is hovered. Built with React and D3 v7, the visualization uses d3.scaleLinear for axes, d3.scaleOrdinal for categorical colors, and renders SVG circles with tooltips. The dataset is loaded as CSV and parsed into numeric values for plotting.

AAlex Stulov

93% match