D3 Scatter Plot

D3 scatter plot

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 an SVG circle using D3 v7, with positions scaled linearly via `d3.scaleLinear` and extents computed from the data. The axes are drawn using `d3.axisLeft` and `d3.axisBottom`, and the visualization fills the browser window. Data is loaded asynchronously with `d3.csv` from a remote GitHub gist, and circles are joined to the SVG using `selection.join`.

Yyankesswang

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis. Each flower is rendered as an SVG circle, with axes and titles added via `d3.select`, `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom`. The chart fills the browser window and uses custom fonts for tick labels and axis titles.

KKaustav Sen

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 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 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 D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. The SVG rendering uses d3.scaleLinear to transform raw CSV values into pixel coordinates, with d3.min and d3.max defining the domains. Circles represent individual flowers, colored in a teal tone, while d3.axisLeft and d3.axisBottom generate labeled axes. The code loads data via d3.csv and appends text labels for both axes, using a full-window responsive layout with fixed margins.

Aainhoadieruiz@gmail.com

D3 Scatter Plot

This D3 scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each flower is represented by a circle, with scales derived from the data’s extent using d3.scaleLinear. The SVG rendering uses d3.select and .join() to create the circles, while d3.axisLeft and d3.axisBottom generate the labeled axes. Data is loaded asynchronously via d3.csv, and the plot fills the browser window, with margins and a fixed radius applied to all points.

DDINESH SAI BOPPANA

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