Basic Scatter Plot

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Basic Scatter Plot

✓ Published0🌍 Public

Last edited Sep 15, 2017

Created on Aug 7, 2017

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for 150 flowers. The code uses D3 v4 to create SVG circles, with axes customized via `d3.axisBottom` and `d3.axisLeft`, including negative tick sizes and padding. Data is loaded from a CSV file and parsed with a row function that converts measurements to numbers. Linear scales map the data domains to the plot dimensions, with a margin-based layout for the chart area.

AI-generated description

Part of the video course: D3.js in Motion.

An example of creating a scatter plot with customized axes using D3.

This shows the "Iris" dataset. Originally published at UCI Machine Learning Repository: Iris Data Set, this small dataset from 1936 is often used for testing out machine learning algorithms and visualizations. Each row of the table represents an iris flower, including its species and dimensions of its botanical parts, sepal and petal, in centimeters.

mit Licensed

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Basic Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for 150 iris flowers. The code uses D3 v4 to create an SVG visualization, employing `d3.scaleLinear` for both axes and `d3.axisBottom` and `d3.axisLeft` to render the axes. The data is loaded from a CSV file using `d3.csv`. Each flower is represented as a circle, with its position determined by the scaled values of the two measured dimensions.

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This visualization uses D3 v4 to render a basic scatter plot of the Iris dataset, showing sepal length on the x-axis against petal length on the y-axis. The code employs `d3.scaleLinear` for both axes, `d3.axisBottom` and `d3.axisLeft` for tick marks, and SVG circles for data points. It also includes custom axis labels and uses `d3.csv` to load the remote Iris dataset, with data parsed by a row function that converts string values to numbers.

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