Skip to main content
SimilarExport ZIP
100%

Basic Scatter Plot with React & D3

✓ Published1🌍 Public
223100098@lums.edu.pk
Last edited Oct 9, 2025
Created on Oct 9, 2025

A basic scatter plot displays the classic Iris flower dataset, plotting sepal length on the x-axis against sepal width on the y-axis for all 150 specimens. Each point appears as a fixed steelblue circle. The React app loads the CSV data via D3's `csv` function, then calls a separate `viz` function that uses `scaleLinear` and `extent` to compute the chart's scales. D3's `select` and a `.join` operation render the circles onto the SVG element.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Basic Scatter Plot with React & D3

This example shows a basic scatter plot of the classic Iris flower dataset, plotting sepal length on the x-axis against sepal width on the y-axis. Each point is rendered as a black circle with a fixed radius of 12 pixels. The visualization is built with React and D3 v7, where React manages the component lifecycle and state, while D3's `scaleLinear` and `extent` functions compute the scales. The `csv` loader reads the data, and the `select` and `join` methods render the circles into an SVG element.

CCurran Kelleher
96% match
Loading thumbnail…

Basic Scatter Plot with React & D3

This example shows the classic Iris flower dataset in a basic scatter plot. It plots sepal length on the x-axis against sepal width on the y-axis, with each of the 150 data points rendered as a small black circle. The code uses React for component state and effects, while D3 v7’s `select`, `scaleLinear`, and `extent` functions handle the SVG element selection and linear scale mapping. The data is loaded from a CSV file using D3’s `csv` method and passed to a reusable `viz` function for rendering, following a clean separation between React and D3 logic.

BBismark Kofi Owusu Sarfo
95% match
Loading thumbnail…

Scatter Plot with React & D3

This example shows a scatter plot of the classic Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis for 150 individual flowers. The visualization is built using React's `useRef` and `useEffect` hooks to manage the SVG element and coordinate the loading of CSV data via D3's `csv` function, after which the `viz` function from `viz.js` renders the chart. The rendering relies on D3 v7 utilities including `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to compute scales and draw axes, while D3's `select` and `.join` operations efficiently append the circles, axis labels, and axis groups to the SVG.

223100098@lums.edu.pk
95% match
Loading thumbnail…

Scatter Plot with React & D3

This scatter plot visualizes the Iris dataset, showing sepal length against sepal width for 150 flowers. The React `App` component loads CSV data via `csv` from D3 and renders an SVG, while a reusable `viz` function creates the scales, axes, and circles. It uses `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` from D3 v7, with helper modules for axes and labels. The plot displays black circles of radius 12 with labeled x and y axes on a fixed 960x500 canvas.

CCurran Kelleher
94% match
Loading thumbnail…

Basic Scatter Plot with React & D3

This example presents a basic scatter plot that visualizes the Iris dataset, which users load as a CSV file through a file input. The React application parses the data and, using D3's `select` and `join` API, renders circles within an SVG element. The `viz.js` module configures linear scales via `scaleLinear` and `extent` to map sepal length and width values to the plot's dimensions, styling each point with a fixed radius and fill color. The chart updates whenever a new file is selected.

BBismark Kofi Owusu Sarfo
94% match
Loading thumbnail…

Basic Scatter Plot with React & D3

This example demonstrates a basic scatter plot for exploring the relationship between sepal length and sepal width in the Iris dataset. The React app includes a file input that lets users load their own CSV data. It uses D3 v7’s `scaleLinear` and `extent` to map data values to SVG coordinates, with points rendered as `circle` elements via a `join` operation. The plot updates dynamically upon file upload.

BBismark Kofi Owusu Sarfo
94% match
Loading thumbnail…

1Scatter Plot with React & D3

This scatter plot visualizes the Iris dataset, plotting sepal length on the x-axis against sepal width on the y-axis for 150 individual flowers. The visualization is built using `d3.scaleLinear` for axis scaling and `d3.extent` to compute data domains, with React managing the SVG element lifecycle and state. It loads CSV data asynchronously via `d3.csv`, renders axes with `d3.axisBottom` and `d3.axisLeft`, and draws circles for each data point. The chart includes labeled axes and uses a fixed black fill for all points.

BBismark Kofi Owusu Sarfo
92% match
Loading thumbnail…

react-d3-scatterplot

This example renders a scatter plot of the classic Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis. Built with React, it loads CSV data via d3.csv and uses d3.scaleLinear to construct the axes. SVG circles represent each data point, with a native title element providing hover tooltips. The code defines reusable components for axes and marks, and uses d3's extent and nice functions to set the scale domains.

GGabriel Dias Menezes
91% match