pree

pree

This visualization presents the Iris flower dataset as a reusable scatter plot with animated transitions between different attribute pairs. The animation cycles through four combinations of sepal and petal measurements every two seconds, with each point colored by species. Built using D3.js v6, the example implements a custom `scatterPlot` function that wraps `scaleLinear`, `axisLeft`, `axisBottom`, and `scaleOrdinal` APIs. SVG circles render the data, while a legend shows species assignments. The code loads data from a GitHub Gist and uses `setInterval` to coordinate the view changes.

93% match

Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width, with each point colored by species. A scatter of circles maps these measurements, while additional sepal dimensions are stored as unused properties on each data point. The visualization loads CSV data via `d3.csv`, constructs scales with `d3.scaleLinear`, and renders circles and axes using SVG. The code uses D3 v6, with styling applied through `d3.axisLeft` and `d3.axisBottom`. The plot fills the browser window, and tick labels are enlarged for readability.

79% match

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x- and y-axes while coloring points by species (setosa, versicolor, and virginica). Using D3 v6, the code loads the CSV data, applies linear scales via `scaleLinear` and `extent`, and renders circles with SVG. It also passes sepal measurements as `rx` and `ry` attributes, though these do not affect circle radius, which remains fixed. Axes are drawn with `axisLeft` and `axisBottom`.

79% match

Fork of Iris Dataset Scatter Plot

This visualization displays the Iris Dataset as a scatter plot, mapping petal length to the x-axis and petal width to the y-axis, with points colored by species (blue for setosa, red for versicolor, black for virginica). The code loads the data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the circles as SVG elements using `selectAll` and `join`, while also storing sepal measurements for potential use. Axes are added with `d3.axisLeft` and `d3.axisBottom`, and the chart fills the entire viewport.

79% match

Scatter Plot

This scatter plot visualizes the Iris dataset, showing petal width against sepal length, with each species color-coded (setosa in gold, versicolor in teal, and virginica in red). The visualization cycles through four attribute combinations every two seconds, updating both the axes and circle positions. Built with D3 v6, it uses `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.axisLeft`, and `d3.axisBottom` within a reusable `scatterPlot` function, rendering as SVG circles with HTML labels.

Pprajoth0405

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, with each point colored by species (setosa, versicolor, or virginica). The plot also encodes sepal length and width as additional attributes on each circle, though these do not affect the visual radius. Built with D3 v6, the code uses `d3.csv` to load data, `d3.scaleLinear` and `d3.extent` for scaling, and `d3.axisLeft` and `d3.axisBottom` to render axes. The SVG circles are created via `selectAll('circle').data(marks).join('circle')`, with static labels for both axes.

Scatter Plot for IRIS dataset

This example visualizes the Iris dataset using a scatter plot of petal length versus petal width, colored by species. It uses D3.js v6 with the `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to fetch data, scale axes, and render the SVG. The plot also encodes sepal dimensions as `rx` and `ry` attributes on circles, though the rendering effect is not configured. Data is loaded from a remote GitHub Gist via D3's `csv` function.

Pprashanth yamala

iris dataset

This scatterplot visualizes the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with each data point colored by flower variety. The code uses d3.csv to load the data, d3.scaleLinear for both axes, d3.axisBottom and d3.axisLeft for tick marks and gridlines, and d3.scaleOrdinal to map varieties to a color palette. The SVG rendering includes axis labels, a title, and circles positioned using d3-selection.

SShweta-tech