Activity_6_Task_3.2

Bbhargavireddy4016@gmail.com

Activity-6 Task-3.2

This visualization displays a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point is rendered as a distinct symbol shape representing the species of iris flower. The chart uses D3.js v7 with `scaleLinear` for the axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and a custom legend showing the species symbols. Data is loaded as CSV and parsed with `csvParse` before being plotted.

activity6_task3.2

This visualization is a scatter plot of the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis. Points are colored and shaped by iris species, with a legend displaying the three species categories. The code uses D3 v7 APIs such as `scaleLinear`, `scaleOrdinal`, `symbolsFill`, `axisLeft`, `axisBottom`, and `symbol` to construct the plot and its shape legend. Data is fetched as a CSV from a GitHub repository and parsed with `csvParse`.

Mmaneeshraja47@gmail.com

PPreethamreddyannavaram@my.unt.edu

Activity6_task 3.2

This example visualizes the Iris dataset as a scatter plot of sepal length against petal length, with each species distinguished by a distinct symbol shape and a legend labeling the species. The visualization loads the CSV data via fetch and d3.csvParse, then renders the plot using D3.js v7, constructing linear scales, ordinal shape encoding, and axes. The chart relies on reusable D3 modules for scatter plot rendering, axes, and a custom shape legend, with symbols generated via the d3.symbol and symbolsFill API.

Activity6-Task3.2

This visualization displays the Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis, with the three iris species distinguished by different symbol shapes. The plot uses d3.scaleLinear for both axes, d3.scaleOrdinal with d3.symbolsFill to encode species, and includes axis labels and a shape legend. Data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, with numeric fields converted to numbers before rendering.

Mmeenam1106@gmail.com

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol. The visualization uses D3 version 7 to render SVG elements, employing `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` to map species to different point shapes. Data is loaded asynchronously through a CSV file fetch, then parsed with `csvParse` before being displayed with custom axis and shape legend components.

GGunna,Praneeth Reddy

Activity6_Task3.2

This visualization displays the Iris dataset using a D3.js scatter plot, mapping sepal length to the x-axis and petal length to the y-axis. Each data point is rendered as a path with a distinct symbol from `symbolsFill`, where the species determines its shape. It loads CSV data via `d3.csvParse` from a remote GitHub source and uses `scaleLinear` for positioning and `scaleOrdinal` for shape encoding. A custom legend shows the species labels, and the axes are drawn with `axisLeft` and `axisBottom`.

SSeema Shrestha

MMannava Priyanka Chowdary

Activity 6_Task 3.2

This scatter plot displays the Iris flower dataset, showing sepal length against petal length with distinct symbols for each species. It uses D3.v7 modules including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` to render marks and a custom shape legend. The visualization loads data from a GitHub gist, parses it with `csvParse`, and incorporates reusable local modules for axes and legend components.

Activity6_Task3.2

This visualization displays the classic Iris dataset as a scatter plot of sepal length against petal length, with each of the three iris species distinguished by a different symbol shape. The plot uses D3’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position points and render marks, while an axis module built with `d3.axisLeft` and `axisBottom` labels the chart. A custom shape legend maps each species to its symbol. The data is loaded asynchronously from a GitHub-hosted CSV and parsed with `d3.csvParse`.

SSiddhartha Alwala