Skip to main content
SimilarExport ZIP
100%

Scatter Plot With Color

✓ Published0🌍 Public
NNick Pearson
Last edited May 21, 2021
Created on May 21, 2021

This interactive scatter plot visualizes the Iris dataset, plotting continuous measurements (sepal width, sepal length, petal width, petal length) against one another with points colored by species. Users select attributes for the X and Y axes via React dropdown menus, which update the chart reactively. The visualization uses React, D3 scales (`scaleLinear`, `scaleOrdinal`), and renders SVG circles, axes, and a color legend. Data is loaded asynchronously with `d3.csv`, and the chart includes labeled axes, a species-based legend, and tooltips showing formatted values.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on each axis. The visualization uses React with d3.v5 scales, including scaleLinear for positioning and scaleOrdinal to encode species identity with distinct colors. SVG circles render the data points with tooltips showing exact values, while custom AxisBottom and AxisLeft components generate the tick marks and labels. The code employs d3.csv for data loading and d3.format for axis tick formatting.

MMrMartin85
96% match
Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements across three species. The chart uses color encoding to distinguish species, with dropdown menus to switch which quantitative attributes are plotted on the x- and y-axes. Built with React and D3 v5, it renders SVG circles for each data point, using d3.scaleLinear for axes, d3.scaleOrdinal for color mapping, and d3.extent for domain computation. Data is loaded asynchronously via d3.csv from a remote source.

SSam Hege
96% match
Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. The visualization features dropdown menus to switch which attributes appear on the x and y axes, with species distinguished by color using a categorical scale. Built with React and D3 v5, the chart uses d3.scaleLinear for axes and d3.scaleOrdinal for color encoding, rendering SVG circles with tooltips that display precise values. The CSV data is loaded asynchronously via d3.csv and typed numerically before plotting.

RRiccardo De Lucia
96% match
Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris Dataset, letting users explore relationships between sepal and petal measurements across three flower species. Color encodes species, while dropdown menus dynamically select which attributes map to the x and y axes. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for categorical colors, and SVG circles rendered by custom React components. Axis components generate ticks and labels, while `csv` loads the remote dataset. A native SVG `<title>` element provides hover tooltips.

AAudrey
96% match
Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. The chart displays data points colored by species, with dropdown menus to switch which attributes appear on the x and y axes. Built with React and D3 v7, it uses d3.scaleLinear for axes, d3.scaleOrdinal for categorical coloring, and d3.csv, d3.extent, and d3.max for data processing and scale domains. SVG rendering with React components handles axes, marks, and hover tooltips.

JJoe Hutchins
96% match
Loading thumbnail…

Scatter plot with colour

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements. Dropdown menus select which attributes appear on the x and y axes, while color distinguishes the three iris species. The visualization uses React with functional components, D3 v5 scales including `scaleLinear` and `scaleOrdinal` for mapping data to positions and colors, and renders marks as SVG circles. Axes are custom components built from D3 tick values, and the data loads asynchronously from a CSV file using `d3.csv`.

AAndrea Picciau
96% match
Loading thumbnail…

Scatter Plot with Color

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between sepal and petal measurements. Dropdown menus switch which numeric attribute appears on the x- and y-axes, while a categorical color scale distinguishes the three iris species. Powered by React and D3 v5, the SVG visualization uses `scaleLinear`, `scaleOrdinal`, and `csv` to load and render data from a GitHub gist, with axis and mark components built from reusable React functions.

Ccynichole
96% match
Loading thumbnail…

Scatter plot with colour

This interactive scatterplot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements across flower species. Two dropdown menus dynamically select which numeric attributes appear on the x and y axes, with the chart updating through React state management. The visualization uses d3.scaleLinear for both axes, d3.extent for domain calculation, and renders SVG circles through a reusable Bars component. Data loads asynchronously via d3.csv from a remote gist, with axis ticks styled through CSS classes and formatted using d3.format.

Jjackcaldwellnichols
96% match