rakhi

RAK

This D3 scatter plot visualizes the Iris Dataset, mapping petal length and width for each sample while encoding species through color. The circles are positioned using linear scales, with fixed radius but varied rectangular extents on horizontal and vertical axes. It uses `d3.csv` to load data, `scaleLinear` and `extent` for scales, and `axisLeft`/`axisBottom` for axes. The SVG rendering applies dynamic fill colors per species and displays the dataset’s sepal measurements through `rx` and `ry` attributes.

90% match

rao

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica) using red, blue, and green. It also encodes sepal length and width as elliptical radii for each circle. Built with D3 v6 in a React project, the SVG rendering uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to generate scales and axes from CSV data loaded via `d3.csv`.

87% match

rao

87% match

iris data set

This scatter plot visualizes the iris data set, mapping petal length and petal width for each sample while coloring points by species (setosa, versicolor, virginica) using blue, red, and purple. The visualization also encodes sepal dimensions as the `rx` and `ry` attributes of the circles, though these do not affect the visible radius. Built with D3 v6 in React, the code loads CSV data via `d3.csv`, scales axes with `scaleLinear` and `extent`, and renders circles and axes using SVG selections and `axisLeft`/`axisBottom`.

Untitled

This scatter plot visualizes the Iris dataset, encoding petal length and petal width as x and y coordinates, while coloring each point by species. The code also reads sepal length and width values into the `rx` and `ry` attributes of each circle, though these do not affect the visual rendering since `r` is set to a fixed radius. Built with React and D3 v6, it uses `d3.csv` for data loading, `d3.scaleLinear` for scales, and `d3.axisLeft`/`d3.axisBottom` for axes with custom labels.

SSrilekha24

rao

This example displays a scatter plot of the Iris dataset, mapping petal length and petal width while coloring points by species using a custom marker function. It renders as an SVG via React and D3 v6, using `d3.csv` to load data, `scaleLinear` and `extent` for axes, and `axisLeft`/`axisBottom` for tick marks. The code also appends rotated axis labels and sets circle radii, with point colors assigned per species.

Fork of Fork of Fork of Scatter Plot with Iris DataSet

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with points colored by species (setosa, versicolor, and virginica). The visualization encodes additional sepal dimensions as circle radii, using the `rx` and `ry` attributes. Built with React and D3 v3, it uses `d3.csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to render an SVG, with custom margins, axis labels, and a large canvas-sized layout.

Bblikitha

ic6 scattered plot

This visualization displays the Iris dataset as a scatter plot, encoding petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa in light green, versicolor in purple, and virginica in red). The code loads CSV data via `d3.csv`, parses numeric columns, and uses `d3.scaleLinear` with `d3.extent` to set the scales and `d3.axisLeft`/`d3.axisBottom` for the axes. It renders circles with SVG, though it also attempts to set `rx` and `ry` attributes (using sepal measurements) for each mark, a quirk that has no visual effect on circles. The chart is built in React with D3 v6, filling the browser window and labeling axes as "Petal length" and "Sepal length."

Ddivyagunuguntla