Fork of IRIS DATASET SCATTER PLOT

IRIS DATASET SCATTER PLOT - AISHWARYA M

This scatter plot visualizes the Iris dataset, encoding sepal length and petal length to reveal clustering patterns among iris species, with each circle representing a flower. It renders as an SVG using D3 v5, employing `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.schemeCategory10` for species colors, and the `d3-legend` plugin for a color legend. Axis tick lines and labels are styled via CSS, and data is loaded from a CSV URL using `d3.csv`.

97% match

Iris Dataset Scatter Plot- AISHWARYA M

This scatter plot visualizes the Iris Dataset, mapping petal length and width for each flower and coloring points by species (setosa, versicolor, or virginica). The D3 v6 code loads the CSV data via `d3.csv`, uses `scaleLinear` and `extent` to set axes, and renders SVG circles with a fixed radius. It also destructures functions like `select` and axes for concise, reactive updates. The viewport fills the window, with readable 24-pixel tick labels.

92% match

3D Scatter Plot Iris Dataset AISHWARYA-M

This 3D scatter plot visualizes the classic Iris dataset, mapping petal length, petal width, and sepal width to the x, y, and z axes, with species determining point color. The visualization supports interactive rotation via panning and features continuous auto-rotation animation. It renders circular sprites using Three.js on a WebGL canvas with HiDPI scaling, while D3 handles data parsing, linear scales, and ordinal color mapping via `d3.csv`, `d3.scaleLinear`, and `d3.scaleOrdinal`. The zoom interaction is configured to constrain rotation within vertical limits.

88% match

Reusable D3 Scatter Plot- ICE7 Aishwarya M

This interactive scatter plot visualizes the Iris flower dataset, mapping petal and sepal measurements to x and y axes. Data points are colored by species (setosa, versicolor, virginica) and cycle through four column combinations every few seconds using `setInterval`, with axes updating accordingly. Built with D3 v6, the visualization uses a reusable `scatterPlot()` function that employs `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG circles with animation. A static legend identifies species colors, while axis labels and a title are appended directly to the SVG.

87% match

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

3D Scatter Plot usin IRIS dataset Aishwarya-M

This example uses the Iris dataset to render a 3D scatter plot, mapping petal length, sepal length, and petal width onto the x, y, and z axes. Each data point is colored individually to show distribution across the three dimensions. The visualization is built with Highcharts’ `scatter3d` chart type, loading data via D3’s `d3.csv` parser. Interactive rotation is enabled through custom mouse and touch event handlers that adjust the chart’s `options3d` alpha and beta angles. The plot includes axis limits, grid lines, and a legend, with radial gradients applied to the points for depth perception.

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (green, blue, or red). Built with D3 v6 and SVG, it uses `d3.csv`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes. The code also reads sepal measurements but does not use them visually. Data is loaded from a GitHub-hosted CSV file, and the chart fills the browser window with fixed margins and 24-pixel tick labels.

Llikith1266

Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length on the x-axis against sepal length on the y-axis. Each flower is represented by a red circle, with axes labeled directly in the SVG. The code loads CSV data using `d3.csv`, then applies `scaleLinear` with `extent` to map values, and renders marks via SVG circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while the chart fills the browser window using `window.innerWidth` and `window.innerHeight`.

Aaashrithd4