Ice7

ICE-7venu

This example uses the classic Iris dataset to create a scatter plot, mapping petal width on the x-axis and sepal length on the y-axis. The visualization is rendered as an SVG using D3.js v6, employing the `scaleLinear`, `axisLeft`, `axisBottom`, `scaleOrdinal`, and `symbol` APIs to position and shape the data points. The plot includes styled axis labels for both dimensions and a main title, with categorical species represented by distinct symbol types. Data is loaded asynchronously from a CSV file fetched via the `csv` function.

Ppethavenu

Ssrinathkarumuru@my.unt.edu

ICE7

This visualization displays the Iris dataset as a scatter plot, mapping petal width on the x-axis against sepal length on the y-axis using D3 v7. The code loads data from a CSV URL, scales the coordinates with `scaleLinear`, and renders teal circles with a black stroke via SVG. Axes are drawn using `axisBottom` and `axisLeft`, while the chart fills the browser window.

ice-7 resuable scatter plot

This example visualizes the Iris dataset, plotting petal length against petal width. Each point is colored by species (setosa, versicolor, or virginica) using a simple switch statement, and the circle’s horizontal and vertical radii are set to the sepal length and width values, respectively. Built with React and D3 v6, it uses the `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions to load data, create scales, and render SVG axes and circles. The chart fills the browser window, with large tick text and axis labels for clarity.

Pprashanth yamala

ICE 7 reusable scatter plot

This interactive scatter plot visualizes the Iris dataset, mapping petal width against sepal length and distinguishing species through colored symbols. Built with D3 v6, it uses reusable chart components via `scatterPlot()`, employing `scaleLinear` and `scaleOrdinal` for axes and color mapping. The SVG rendering includes axis labels and a legend-free design, with data loaded asynchronously from a CSV URL. The chart adapts to the viewport size, demonstrating a modular approach to building customizable visualizations with D3's selection and join methods.

Kkakumanusreya

ICE-7 reusable scatter plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal width to the x-axis and sepal length to the y-axis while encoding species through symbol shapes and colors (grey, coral, and aqua). The chart uses reusable D3.js components, including scaleLinear, scaleOrdinal, axisLeft, axisBottom, and the symbol generator, to render SVG marks. Data is loaded via d3.csv and parsed into numeric values before being passed to the customizable scatterPlot function.

CChathurya

ICE7 Reusable Scatter Plot

This visualization displays the classic Iris dataset as a scatter plot, using petal width and sepal length as its primary axes—though a `setInterval` loop cycles through all four measurement columns every two seconds to animate the chart. The code builds a reusable `scatterPlot` function with d3.scaleLinear, axisLeft, and axisBottom, while the main script imports data via d3.csv and assigns colors with d3.scaleOrdinal. Rendering uses SVG circles with annotations for axes and legends. The example demonstrates d3.v6 reusable chart patterns and animated data transitions.

BBVNPK001

ICE 7 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal width to sepal length and distinguishing species through different SVG symbols. It uses d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbols for species markers, and d3.axisLeft/axisBottom for tick marks. The code loads CSV data via d3.csv and employs a reusable chart pattern with the scatterPlot function, rendering marks as generated path data through d3.symbol and d3.symbolGenerator.

SSreejaBellamkonda

ICE-7: Reusable Scatter Plot

This visualization shows a scatter plot of the classic Iris dataset, mapping petal width along the x-axis and sepal length along the y-axis. Each data point is rendered as a distinct SVG symbol (circle, square, or triangle) representing one of the three iris species. The implementation builds a reusable `scatterPlot` module that accepts configurable accessor functions for data values and symbols, using D3’s `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `symbol` APIs. It loads the CSV data via `d3.csv` and populates an SVG canvas sized to the full browser window.

CChaitanya Galla