ICE-7venu

ICE-7 (11630234)

This visualization displays a scatter plot of the Iris dataset, mapping petal width against sepal length. The plot uses distinct symbols and colors (orange, purple, and grey) to differentiate the three plant species. The D3.js library (v6.7.0) constructs the chart, employing functions like `scaleLinear`, `extent`, `axisLeft`, and `symbol` to generate axes and data points. The SVG output is dynamically sized to fit the browser window and includes labeled axes and a bold title.

KKovvuri Supraj

ICE7

This interactive scatter plot visualizes the relationship between petal width and sepal length for iris flowers, with each species represented by a distinct symbol. Built using D3 v6, it uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `d3.symbol` to encode species as different shapes, and `d3.axisLeft`/`d3.axisBottom` for labeled scales. The SVG rendering fills the browser window, with explicit axis titles and a bold title, drawing data from a CSV file hosted in a GitHub Gist.

Vvineeth0000

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 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

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 7.1

This interactive scatter plot displays the Iris dataset, encoding sepal and petal measurements as x and y coordinates. Points are differentiated by species using both color (via `d3.scaleOrdinal` with `schemeCategory10`) and shape (via `d3.symbol` with distinct symbol types). Every ten seconds, the x-axis automatically switches among four measurement columns—petal width, sepal width, petal length, and sepal length—updating the chart through a custom `scatterPlot` function. The SVG is rendered with D3 v6, using `csv` to load data and `axisLeft` and `axisBottom` for dynamic axes.

Kkartik900

ICE-7-1

A D3.js scatter plot visualizes the Iris dataset, plotting petal width against sepal length. Three species of iris are distinguished using different SVG symbols via a d3.scaleOrdinal and d3.symbol generator. The chart uses d3.axisLeft and d3.axisBottom for axes, with data loaded from a CSV URL and parsed into numeric values. The visualization fills the browser window and is rendered with SVG.

HHARSHA BUDDANA

ICE-7: Scatter Plot

A scatter plot visualizes the Iris dataset by mapping petal width to the x-axis and sepal length to the y-axis, with each circle colored by species (blue, orange, or green). The SVG rendering uses D3 v6 APIs including `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, with circles positioned by projecting data values through the scales. Axis labels are added as SVG text elements. The plot fills the browser window, with data parsed from a GitHub-hosted CSV file.

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