question 3.1

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Last edited Apr 4, 2024

Created on Apr 4, 2024

This example displays the Iris dataset as a scatter plot of petal length against petal width, with each circle colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). It also encodes sepal length and sepal width as the `rx` and `ry` attributes on each circle, creating distorted ellipses. The code loads CSV data via `d3.csv`, uses `scaleLinear` for axes, and renders SVG circles and axes with `select`, `join`, `axisLeft`, and `axisBottom`.

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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Question1

A scatterplot visualizes the Iris dataset, comparing petal length against petal width while encoding sepal dimensions and species through circle properties. Each point's fill color distinguishes three species (setosa, versicolor, virginica), while the circle's `rx` and `ry` attributes reflect sepal length and width, respectively. The visualization loads data via `d3.csv`, maps values through `scaleLinear` with `extent` domains, and renders axes using `axisLeft` and `axisBottom`. The code uses D3 v6's selection and data-join methods (`selectAll`, `join`) to append SVG circles.

Vvishu.valandas@gmail.com

91% match

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question3_act6

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circle colors representing the three species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load CSV data from a remote URL, scale the values to the screen dimensions, and render SVG circles with fixed radius. The code also stores but does not visually use sepal measurements as additional data attributes on each circle. Axes are drawn using D3’s `axisLeft` and `axisBottom`, with custom axis labels for petal length and sepal length.

Bbhavyamoturi2509@gmail.com

91% match

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Tutorial3.1

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each point colored by species (skyblue for setosa, lightgreen for versicolor, and orange for virginica). It also encodes sepal length and width as the `rx` and `ry` attributes on each circle, though the rendering uses a constant radius. The visualization loads data via `d3.csv` from a GitHub gist, uses `d3.scaleLinear` and `d3.extent` for scales, and renders SVG circles with axes via `d3.axisLeft` and `d3.axisBottom`. Custom axis labels are added with rotated text.

Vvaishalireddy55555@gmail.com

90% match

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task3.1

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, and virginica). The visualization also encodes sepal length and width as circle attributes, though these are set as `rx` and `ry`, which do not affect standard SVG circle rendering. The code loads data from a GitHub-hosted CSV using `d3.csv`, applies `d3.scaleLinear` for axes, and renders the plot with SVG circles, `d3.axisLeft`, and `d3.axisBottom`. Axis labels are added as text elements in green.

Yyashwanthkirla95@gmail.com

89% match

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Activity6_Question-3.1

This scatter plot visualizes the Iris dataset, mapping petal length to the x-axis and petal width to the y-axis, with points colored by species (setosa, versicolor, virginica). It also encodes sepal length and width as `rx` and `ry` attributes on each circle, though these do not affect the rendered radius since `r` is fixed at 5. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to load data from a GitHub raw URL and render SVG circles with labeled axes.

Kkandulasunny17@gmail.com

89% match

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activity3.1_6

This example renders a scatter plot of the Iris dataset, showing petal length against petal width, with each point colored by species (setosa, versicolor, or virginica). The data is loaded from a GitHub-hosted CSV file using D3’s `csv` function. The visualization uses `scaleLinear` and `extent` to map values to screen coordinates, and `axisLeft` and `axisBottom` to draw axes. Circles are appended and styled via D3 selections with radii fixed at five pixels, while the code also references sepal measurements as unused properties.

Aazeemrm630@gmail.com

89% match

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activity6_question3

This visualization shows the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). Using D3 v6, it loads CSV data via `d3.csv`, scales the coordinates with `scaleLinear` and `extent`, and renders circles on an SVG canvas. It also includes axes via `axisLeft` and `axisBottom`, with inverted y-axis scaling and labeled axes. The code processes raw numeric fields—sepal and petal measurements—to position each data point.

Ddineshreddy.ravula@gmail.com

89% match

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Activity 6 Tutorial 3.1

This example visualizes the Iris dataset with a scatter plot comparing petal length against petal width, coloring points by species (setosa, versicolor, virginica) in skyblue, lightgreen, and orange. The code loads CSV data via d3.csv, then uses scaleLinear, extent, axisLeft, and axisBottom to map values and render axes in SVG. Circles are positioned using cx/cy attributes, with additional rx/ry properties derived from sepal measurements. Axis labels are rotated and styled using d3 selections.

Ssharanyabobbala@my.unt.edu

89% match