Skip to main content
SimilarExport ZIP
100%

D3 Scattering

✓ Published0🌍 Public
KKamalabot
Last edited Jul 9, 2022
Created on Jul 9, 2022

This scatterplot displays the Iris dataset, plotting petal length against sepal length with 10-pixel circles. It loads CSV data asynchronously using d3.csv, transforms numeric fields via a custom parseRow function, and applies d3.scaleLinear with d3.extent to map data ranges to the full browser viewport. The visualization renders SVG circles through d3.selectAll and data joins, with axes omitted. The code uses D3 v7 within an HTML page, sizing the SVG to window.innerWidth and window.innerHeight.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

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
94% match
Loading thumbnail…

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
93% match
Loading thumbnail…

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis using circular marks. The code loads CSV data via `d3.csv`, scales it with `scaleLinear` and `extent`, and renders the points as SVG circles. Axes are generated with `axisLeft` and `axisBottom`, with the visualization sized to the full browser window. The example uses D3 v7 within a minimal HTML page, styling tick text via CSS.

KKhanin Sisaengsuwanchai
93% match
Loading thumbnail…

D3 Scatter

This 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 in an SVG canvas that fills the browser window. The code fetches data from a CSV file using `d3.csv`, parses it with a custom row function, and uses `d3.scaleLinear` with `d3.extent` to position points. It also draws axes with `d3.axisLeft` and `d3.axisBottom`, all built with d3.v7 in React.

GGautier DAVID
93% match
Loading thumbnail…

D3 Scatter Plot

This example renders the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v7 to load the CSV data via `d3.csv`, and then builds scales with `d3.scaleLinear` and `extent` to compute domains. Circles are drawn as SVG elements, with axes generated through `d3.axisLeft` and `d3.axisBottom`. The visualization adapts to the full browser window and includes a large font size for tick labels via CSS.

SSubhendu Karmakar
93% match
Loading thumbnail…

D3 Scatter plot

This scatter plot visualizes the Iris flower dataset by plotting petal length against sepal length. The visualization uses D3.js v7 with linear scales to map data values to screen coordinates, and SVG circles represent individual data points. The code demonstrates data loading and parsing via d3.csv with type coercion for numeric fields. Axes are generated using d3.axisLeft and d3.axisBottom, positioned according to defined margins, while the plot dynamically fills the browser window using window.innerWidth and innerHeight.

JJuan Corrales Correyero
92% match
Loading thumbnail…

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
92% match
Loading thumbnail…

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for each flower specimen. The visualization uses D3 v7 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates to SVG circle positions with a fixed radius of 5 pixels. Circles are rendered via SVG `<circle>` elements appended through D3's selection and join operations, with axes positioned using margin-based transforms. The chart fills the browser window, with data loaded asynchronously from a remote CSV file using `d3.csv`.

Aalexscott-untitled
92% match