Activity 6_Task 3_Likitha_2

100%

Activity 6_Task 3_Likitha_2

✓ Published0🌍 Public

Last edited Mar 31, 2025

Created on Mar 31, 2025

This interactive scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length for three species of iris flowers. Each species—setosa, versicolor, and virginica—is represented by a distinct geometric shape (circle, cross, and diamond) to differentiate data points, with a legend identifying the mapping. The visualization uses D3 v7 APIs including `d3.symbol`, `d3.symbolCircle`, `d3.symbolCross`, and `d3.symbolDiamond` to render markers, while `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` handle scaling and axes. Hovering over a point triggers a tooltip with species details and scales the marker using SVG transitions. Data is loaded remotely as CSV and parsed with `d3.csv`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity 6_Task 3_Likitha

This scatter plot visualizes the Iris dataset, comparing sepal length against petal length. Each dot represents an individual flower, with its color mapped to the species (`Iris-setosa`, `Iris-versicolor`, `Iris-virginica`) via a `d3.scaleOrdinal` color scale and its position determined by `d3.scaleLinear` scales for both axes. The visualization is rendered as an SVG using D3 v7, loading the CSV data via `d3.csv`. An interactive tooltip and subtle size/opacity changes appear on `mouseover`, providing a species detail and enhancing point readability. The chart includes labeled axes and a legend, while a static encoding uses a uniform dot radius.

Kkblikitha22@gmail.com

96% match

Loading thumbnail…

Activity6_task3.2

This scatter plot visualizes the Iris dataset, showing petal length against sepal length for three species of iris flowers. Each species is represented by a distinct shape and color: circles for setosa, squares for versicolor, and triangles for virginica. The visualization uses D3 v6 with SVG rendering, employing `d3.scaleLinear` for axes, custom symbol generators from `d3.symbol`, and a legend built with `d3.symbolCircle`, `d3.symbolSquare`, and `d3.symbolTriangle`. Data is loaded from an external CSV file, and axes are labeled with "Sepal Length" and "Petal Length" in centimeters.

Kkbhavithareddy06@gmail.com

93% match

Loading thumbnail…

Activity 6_Task 3.2

This interactive scatter plot visualizes the relationship between sepal length (x-axis) and petal length (y-axis) for 150 iris flowers, using distinct shapes to differentiate the three iris species. The visualization employs D3’s `scaleLinear` for continuous axes, `scaleOrdinal` with `symbolsFill` to map species to shapes, and custom axes and legend modules. It uses D3’s `csvParse` to load the Iris dataset, and the `symbol` API generates the scatter plot markers and legend symbols. The rendering is implemented with D3’s join pattern to efficiently create and update SVG elements.

SSrihith Reddy Gaddam

92% match

Loading thumbnail…

Activity6_Task3.1

This interactive scatter plot visualizes the Iris dataset, showing petal length against sepal length for different Iris species. The visualization uses distinct shapes (circles, squares, and triangles) to differentiate species, with a dedicated shape legend positioned on the right side of the chart. Built with D3.js v7, the code employs `d3.scaleLinear` for axes scaling and `d3.scaleOrdinal` with `d3.symbolsFill` to map species categories to symbol types. Data is loaded asynchronously from a GitHub-hosted CSV file, with axes labeled and styled through custom `d3.axisLeft` and `d3.axisBottom` calls.

SSowjanya Devupalli

92% match

Loading thumbnail…

Activity6_Task3.2

This interactive scatter plot visualizes the classic Iris dataset, showing the relationship between sepal length and petal length. Each of the 150 flowers is rendered as a D3 path mark, with the species type (setosa, versicolor, virginica) encoded by different fill symbols as shown in a custom legend. The visualization uses D3 v7 APIs including `scaleLinear` for axis scaling, `scaleOrdinal` for shape mapping, and `symbolsFill` to generate the distinct marker shapes. Data is loaded asynchronously from a CSV file via `csvParse`.

Llokasaivenkatatammineedi@my.unt.edu

92% match

Loading thumbnail…

Activity6-Task 3.2

This scatter plot visualizes the Iris dataset, showing petal length against sepal length, with each point’s shape encoding the flower species (setosa, versicolor, virginica). The plot uses D3’s `scaleLinear` for axes and `scaleOrdinal` with `symbolCircle`, `symbolCross`, and `symbolDiamond` to differentiate species. A custom `shapeLegend` displays these symbols, while the axes are labeled via `axisBottom` and `axisLeft`. Data is loaded from a remote CSV.

Hharinihari6791@gmail.com

92% match

Loading thumbnail…

Activity6_Task3.2

This example visualizes the Iris dataset with a scatter plot comparing sepal length against petal length for three species (`setosa`, `versicolor`, and `virginica`). Each species is distinguished by a unique geometric symbol—circles, squares, and triangles—and assigned a distinct color (red, blue, and green). The visualization renders in SVG using D3 v7, with `d3.axisBottom` and `d3.axisLeft` for axes, `d3.scaleLinear` for positioning, and `d3.symbol` to generate the point shapes. Data is loaded from a remote CSV file, with a legend displaying each species’ shape and color.

Bbhavanasruthikakarlapudi@gmail.com

92% match

Loading thumbnail…

Activity-6 Task3.1

This scatter plot visualizes the Iris dataset, showing sepal length against petal length for three flower species. Each species is distinguished by a distinct symbol shape, with a legend explaining the mapping. The visualization uses D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position points and generate shapes, with axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a CSV file and parsed with `csvParse`.

Hharshaps15@gmail.com

92% match