D3 Scatter Plot

D3 Scatter Plot

This example visualizes the Iris flower dataset as a scatter plot, mapping petal length to the horizontal axis and sepal length to the vertical axis. Each flower is rendered as a circle in an SVG canvas. The code loads CSV data using `d3.csv`, parses numeric fields, and applies linear scales via `d3.scaleLinear` with domains derived from `d3.extent`. Circles are joined to the data with `selectAll().data().join()`, sized with a fixed radius of 5 pixels, and positioned using the scaled coordinates.

Ttrongan765@gmail.com

D3 Scatter Plot

This example visualizes the Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is represented by a circle, with positions scaled linearly using d3.scaleLinear and extents from the data. The visualization renders in SVG, drawing circles directly onto an appended svg element. Axes are generated with d3.axisLeft and d3.axisBottom, styled with a 20px font size for tick labels. Data is loaded asynchronously using d3.csv from a remote Gist URL, with numeric parsing applied to all four measurement columns.

Ttverdone

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

D3 Scatter Plot

This example displays the classic Iris dataset as a scatter plot, with petal length on the x-axis and sepal length on the y-axis. It loads data from a GitHub Gist using `d3.csv` and parses numeric fields. The visualization is built with React and rendered as SVG, using `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the axes and points. The plot is generated by a custom `scatterPlot` function that sets the width based on the window size, with margins and a fixed point radius of 5.

JJetlinZ

D3 Scatter Plot

This D3 scatter plot visualizes the Iris flower dataset, plotting petal length against sepal length for each sample as circles in an SVG rendered with React. The code uses d3.csv to load and parse the data, d3.scaleLinear to map values to screen coordinates, and d3.axisLeft and d3.axisBottom to display the y- and x-axes. The visualization updates the browser window dimensions dynamically and demonstrates a straightforward data-to-mark binding pattern with d3.selectAll and .join.

Ccardoza-IPH

d3 scatter plot

This D3.js scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. Each flower instance is represented as a small circle, with axes labeled and scaled linearly using `d3.scaleLinear`. The code loads CSV data via `d3.csv`, maps values using `d3.extent` to determine the y-domain, and renders the SVG chart full-screen. The visualization uses D3 v6 within a React framework, drawing circles with `d3.select` and `d3.join` to manage the marks.

Rrwata97

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It displays each data point as a circle in an SVG rendered at full window size. The code uses d3.csv to load the data, d3.scaleLinear with d3.extent for axes, and d3.axisLeft and d3.axisBottom to draw the scales.

Sshmouelsamares

D3 Scatter Plot

This example visualizes the classic Iris dataset as a D3.js scatter plot, mapping sepal length on the y-axis and petal length on the x-axis. The chart renders as an SVG with circles positioned via linear scales, while axes are drawn using `d3.axisLeft` and `d3.axisBottom`. The code fetches CSV data asynchronously, parses numeric columns, and dynamically resizes the plot to the full window. It customizes tick label styling through CSS and uses a React starter environment.

TTheo-0201