Skip to main content
SimilarExport ZIP
100%

Scatter Plot

✓ Published2🌍 Public
Vvmonney
Last edited Sep 29, 2022
Created on Sep 29, 2022
Forked from Stylized Bar Chart

This scatter plot visualizes the Iris Dataset, plotting sepal length on the x-axis against sepal width on the y-axis. The React application loads the CSV data via `d3.csv` and renders the chart as an SVG. It uses D3 v5 scales (`d3.scaleLinear`) and extent to compute axes, with tick marks styled via CSS. Hovering over a circle reveals its sepal length using an SVG `<title>` tooltip.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting sepal length against sepal width for individual flowers. The React application uses D3 v7 functions like `scaleLinear`, `extent`, and `format` to build the SVG chart, with custom axis and mark components rendering tick marks and circles. The y-axis label is mistakenly assigned the x-axis label text ("Sepal Length") due to a code error, while the actual x-axis label is correctly positioned. Data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file.

OOleg Zhernovoy
96% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against sepal width on the y-axis for individual flower specimens. The visualization uses React with d3.scaleLinear scales and SVG rendering, with axes generated by custom React components. Data is loaded asynchronously from a CSV file using d3.csv, with string values parsed into numbers. The plot includes formatted tick labels, axis titles, and tooltips on each circle via SVG title elements, all styled with Poppins font and subtle gray colors.

Iiblub
96% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping sepal length and width for individual flowers. The visualization uses React with D3 v5 scales and SVG rendering, with axes created by custom components. Data loads asynchronously via `d3.csv` and converts string values to numbers. Circles represent data points, and hovering reveals tooltips through SVG title elements, while axis tick formatting utilizes `d3.format` for compact notation.

Rrstrauss127
96% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower specimen, with hover tooltips revealing the exact sepal length value. The visualization uses React to render SVG elements, with D3.js functions like `scaleLinear`, `extent`, and `format` for scaling and tick formatting. The data is loaded asynchronously from a CSV file via D3's `csv` method, and custom components `AxisBottom`, `AxisLeft`, and `Marks` structure the chart.

OOm Kakatkar
96% 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
96% match
Loading thumbnail…

ScatterPlot Iris

This scatter plot visualizes the relationship between sepal length and sepal width for Iris flowers. The React application loads the Iris dataset CSV using d3.csv, then renders SVG circles positioned by d3.scaleLinear x and y scales. Both axes display tick marks and labels created with custom React components, while hover tooltips reveal exact values via SVG title elements. The plot uses a fixed teal color for all points and includes styled axis labels for clarity.

PPadoSensei
96% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the Iris dataset, plotting sepal width against sepal length for individual flowers. The visualization is rendered as an SVG using React components, with D3.v7 utility functions like `d3.csv` to load data and `d3.scaleLinear` with `d3.extent` to map data values to pixel coordinates. The chart includes labeled axes with grid lines and translucent turquoise circles, each featuring a tooltip that reveals the exact measurements on hover.

Sszchee1
96% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower sample, with axis labels and tick marks rendered using React components that call d3.scaleLinear, d3.extent, and d3.max. The SVG circles include a title element for tooltips, showing the sepal length value on hover. The code uses d3.csv for data loading and d3.format for axis tick formatting.

MMark Lam
96% match