Fork of Fork of Iris Dataset Scatter Plot

Fork of Fork of Iris Dataset Scatter Plot

This visualization displays the classic Iris Dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Individual data points are colored by species—green for setosa, yellow for versicolor, and black for virginica—using D3’s scaleLinear and extent functions to set the scales. The SVG rendering uses D3 v6 to append circles, with axes added via axisLeft and axisBottom. Although sepal length and width values are read from the CSV, they are assigned as rx and ry attributes on circles, which does not affect their circular appearance since the radius remains fixed.

Eeravellisaimeghana

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, or virginica), though the code also loads sepal dimensions without displaying them. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Circles are rendered as SVG elements with `selectAll` and `join`, with axis labels added via SVG text elements.

MMeghanaArepalli

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, displaying petal length against petal width for individual flowers, with each species color-coded (setosa in green, versicolor in orange, and virginica in brown). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to compute scales and render axes, while circles are drawn in SVG via `selectAll` and `join`. The data is fetched as CSV from a GitHub gist and parsed with numeric coercion, with labels for petal length and sepal length added as text elements.

RRadhakrishna246

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the axes and coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data, parse numeric fields, and render an SVG with circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales. Although the circles carry extra sepal length and width attributes, only the petal dimensions are visible in the plot.

SSreekarveeravelly

Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width while color-coding each point by species—setosa in blue, versicolor in red, and virginica in black. The SVG scatter plot is rendered using D3 v6, with axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a GitHub Gist using `d3.csv`, then transformed with `scaleLinear` and `extent` to map values to screen coordinates. Though the code sets `rx` and `ry` attributes, circles remain round with a fixed radius of five pixels.

DDivyaVellanki

Fork of Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width for each specimen on the x- and y-axes, while coloring each point by species (setosa, versicolor, and virginica). The chart uses the D3 v6 `csv` loader to fetch the dataset, `scaleLinear` for axes, and `extent` to compute the domains. Each flower is drawn as an SVG circle with a fixed radius, but the code also defines rectangular attributes (`rx` and `ry`) from sepal measurements, though these are not visually applied. Axis labels and ticks are generated using `axisLeft` and `axisBottom`.

Ppravalliyaram

Fork of Fork of Iris Dataset Scatter Plot

Ppravalliyaram

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It also stores sepal measurements as data attributes on each circle, though these are not used for positioning. The implementation uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG with circles. Data is fetched from a GitHub Gist, and the viewport fills the browser window.

SSnapika