Scatter Plot

100%

✓ Published0🌍 Public

Last edited Sep 24, 2023

Created on Sep 24, 2023

Forked from Bar char

This scatter plot visualizes the relationship between sepal length and sepal width for the Iris dataset. Each point represents an individual flower, positioned based on its measurements, with tooltips displaying the sepal length value. The visualization is built with React and rendered as an SVG, using D3 v5's `scaleLinear` for axis scaling and `extent` to compute data domains. Custom axis components generate ticks, while circular marks are drawn with a fixed radius. The data is loaded from a CSV file hosted on GitHub.

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…

Scatter Plot

This scatter plot displays the relationship between sepal length and sepal width from the Iris dataset. The visualization uses React to render SVG elements, with D3 utilities for data loading, scaling, and axis generation. The code employs `d3.csv` to fetch and parse the Iris data, `d3.scaleLinear` to map values to pixel coordinates, and custom React components for rendering axes and circular marks with hover tooltips. The plot features a clean design with gray tick marks, labeled axes, and teal-colored data points.

CCatalina Vajiac

96% match

Loading thumbnail…

Scatter Plot

A scatter plot visualizes the relationship between sepal length and sepal width in the Iris dataset. Each circle represents a flower sample, with a tooltip revealing its exact sepal length. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes, `extent` for domain calculation, and SVG for rendering. The code handles CSV data loading through a custom `useData` hook, with axis components and marks created via React components.

Ccynichole

96% match

Loading thumbnail…

Scatter plot

This scatter plot shows the relationship between sepal length and sepal width for Iris flowers, with each circle representing a sample and a tooltip revealing its exact measurement. The visualization uses React components to render SVG axes and marks, with D3 v7 scales (`scaleLinear`), `extent`, and `format` handling data mapping and tick labels. Data loads asynchronously via `d3.csv` from a remote Iris dataset, and the chart includes rotated axis labels for clarity.

Ddanielscheeper@gmail.com

96% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and sepal width. Each flower is rendered as a circle positioned by the `xScale` and `yScale` linear scales. The visualization uses React components to structure the SVG output, with separate modules for axes and data marks. The bottom axis uses a tick format that abbreviates large numbers, while the source data is loaded asynchronously from a CSV file using D3's `csv` function.

KKolezhannochka

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 flower dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each point represents an individual flower, with hover tooltips revealing exact measurements. The visualization uses React components to render SVG elements, while D3 v5 utilities handle data loading via `csv()` and scale construction with `scaleLinear` and `extent`. Custom axis components generate tick marks and labels, with formatting applied through D3's `format` function.

JJohn Jeevasaeyan

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, plotting sepal length against sepal width for individual flowers. The visualization uses React with D3 scales to map data values to screen coordinates, rendering SVG circles as marks with native tooltips. Axes are generated using D3’s scaleLinear and tick methods, with formatted axis labels. The data is loaded asynchronously via D3’s csv function from a GitHub gist containing the classic Fisher iris measurements.

33ssalunke

96% match