Skip to main content
SimilarExport ZIP
100%

Scatter Plot React & D3 (codeAlong)

✓ Published2🌍 Public
Ttomahawk-jupiter
Last edited Jun 12, 2021
Created on Jun 5, 2021

This scatter plot displays iris flower measurements, plotting sepal length against sepal width to reveal correlations between the two traits. The visualization uses React to manage component state and render SVG elements, while D3 v6 utilities like `scaleLinear`, `extent`, and `csv` handle data loading and scaling. The `useEffect` hook prevents repeated data fetching, and the Iris dataset comes from a remote CSV file hosted on GitHub.

AI-generated description

A program that loads in some data about iris flower proportions using d3 utilities and uses React state to keep track of that data.

Using useEffect from React stops the data from loading repeatedly with every state change. Without this it will re-load constantly.

Use React to render the data onto the page into a scatter plot to help see correlations in the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Adding Color ScatterPlot (codeAlong)

This interactive scatterplot visualizes the Iris flower dataset, mapping sepal and petal measurements along the axes while coloring each point by species using a d3.scaleOrdinal. Users can switch between the four measurement attributes for either axis via React dropdown menus. The visualization uses d3.csv to load data, d3.scaleLinear for positioning, and renders SVG circles with native title tooltips, following Curran Kelleher’s code-along tutorial.

Ttomahawk-jupiter
88% 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
88% match
Loading thumbnail…

scatter plot with react and d3

This scatter plot displays the relationship between sepal length and sepal width from the classic Iris dataset, with each point representing a flower specimen. Built with React and D3 v5, the visualization renders as an SVG using `scaleLinear` for both axes, with `extent` computing the domains from the CSV data loaded via `csv`. The implementation separates axes and marks into reusable components, while a native SVG `<title>` element provides tooltip functionality.

MMohammed Banani | MbDev
88% 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
88% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width for Iris flowers, with each circle representing a data point from the Iris dataset loaded via `d3.csv`. The visualization uses React components to render SVG elements, with `d3.scaleLinear` handling both axes and `d3.extent` computing the domain. The code employs reusable axis and mark components, styled ticks, and a tooltip showing the formatted sepal length value. Data is fetched asynchronously in a custom `useData` hook.

Mmscoop16
88% 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
88% match
Loading thumbnail…

Fork of Scatter Plot with React & D3

This scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for 150 flower samples. The visualization uses React to manage component state and lifecycle, with D3 v7 handling the rendering pipeline. D3’s `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` functions generate the axes and scales, while reusable modules for axes and labels keep the code modular. Circles are bound to the data via D3’s data join, with fixed radius and color. Data loads asynchronously from a CSV file and is parsed into numeric values before rendering.

Sskasliwal@wpi.edu
88% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, comparing sepal length against sepal width for individual flowers. The visualization uses React components to render an SVG, with D3’s `scaleLinear` and `extent` functions mapping data values to pixel coordinates, and axes generated via `xScale.ticks()` with custom tick formatting. Data is loaded asynchronously from a CSV URL using the `csv` function and a custom `useFetch` hook, with circles representing each observation and native SVG `<title>` elements providing hover tooltips.

MMonish Vassantrai
88% match