D3 Plot with React

100%

D3 Plot with React

✓ Published1🌍 Public

Last edited Dec 29, 2022

Created on Dec 29, 2022

This example visualizes the Iris dataset as a scatter plot of petal length against sepal width, with each flower represented by a circle. It uses React to render SVG elements, while d3-scale’s `scaleLinear` computes the x and y positions and d3-array’s `extent` sets the domains. Custom React components (AxisBottom, AxisLeft, Marks) generate ticks and circles. Data loads asynchronously via d3-fetch’s `csv` from a GitHub gist. The chart includes rotated and positioned axis labels, and hover tooltips using SVG `<title>` elements.

AI-generated description

A program that shows the top 10 most populous countries as a bar chart.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 + React

This example shows a scatterplot of the classic Iris dataset, plotting sepal length against petal length. It uses React for component structure and state management, while D3 modules handle the data-driven visualization: `d3.csv` loads the data, `d3.scaleLinear` and `d3.extent` set the scales, and `d3.axisLeft`/`d3.axisBottom` draw the axes. The SVG circles are rendered via D3 selections within a React effect, bridging the two libraries.

SSubhendu Karmakar

92% match

Loading thumbnail…

Scatter Plot - React, D3

This scatter plot visualizes the Iris dataset, showing petal length against sepal width for three plant species distinguished by color. The plot uses React components to render SVG elements, with D3's scaleLinear and scaleOrdinal handling axes and color encoding. Axis ticks are generated from the scales, and hovering over a circle reveals its exact petal length via a native SVG <title> tooltip. The color legend displays the species categories, and the chart includes D3-driven axis labels and margins.

NNelson M

92% match

Loading thumbnail…

A scatter plot in React and D3

This example shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis, with each flower as a pink circle. Built with React for component structure and D3 v5 for scales and CSV loading, it renders as SVG. The `scaleLinear` and `extent` APIs create the axes, while AxleBottom and AxleLeft components draw ticks and gridlines.

Bblackbottt

91% match

Loading thumbnail…

D3 Scatterplot

This scatterplot visualizes the Iris dataset, plotting petal length against sepal length for individual flowers. Built with D3 v7 and React, the visualization uses SVG circles and linear scales to map data values to screen coordinates, with axes generated by d3.axisLeft and d3.axisBottom. The code loads CSV data asynchronously via d3.csv, parses numeric fields, and renders points with a steelblue fill. Axis tick labels are styled with a large Courier New font, and the chart fills the browser window dynamically.

Nnicolekevans

91% match

Loading thumbnail…

Scatterplot w/ React

A scatter plot displays the Iris Dataset, mapping sepal length on the x-axis and sepal width on the y-axis, with each flower as a circle. React components render SVG axes and marks, while d3.scaleLinear and d3.extent compute the scales and domains from CSV data loaded via d3.csv. The code defines reusable AxisBottom, AxisLeft, and Marks components, using tooltips via SVG <title> elements.

SSophia Cofone

91% match

Loading thumbnail…

D3 Scatterplot

This example shows a D3 scatterplot of the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. The SVG viewport fills the browser window, with circles representing individual data points and axis ticks styled at 18px. Built with React and d3.v7, the code loads the CSV via `d3.csv`, then uses `scaleLinear` for both axes, `axisLeft` and `axisBottom` to render tick marks, and a data join to append circles with tooltips showing coordinate values. The data comes from a GitHub-hosted CSV file.

Rrespingu

91% match

Loading thumbnail…

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is rendered as a circle using SVG within a React framework. The code utilizes `d3.csv` to load and parse the data, `d3.scaleLinear` for axis scaling, and `d3.extent` to determine data domains. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, while the chart dynamically fills the browser window's dimensions.

EEzhil-Kalai

91% match

Loading thumbnail…

Iris Data Set

This example visualizes the Iris flower dataset as a scatter plot, showing the relationship between petal length and sepal width for individual samples. Using React with d3.scaleLinear for both axes and d3.extent for domains, the plot renders SVG circles with native tooltips via <title> elements. The code loads CSV data through d3.csv, formats tick labels with d3.format, and includes custom axis components. A loading state displays "Loading..." text while the data fetch is in progress.

TTaweewat Somboonpanyakul

91% match