Task_3_shapescatterplot

Sshettisowmya01@gmail.com

task3 Scatter Plot with Shape

This interactive scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. Each of the 150 data points is rendered as a distinct shape—circle, square, or triangle—based on the flower's species, with a shape legend identifying the mapping. The visualization is built using D3 version 7, leveraging the library's `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` to assign shape encodings. A legend, constructed via `symbolGenerator`, appears in the lower right, and axis labels clarify the measured attributes.

Jjyothirmaijyothi2017@gmail.com

Task8_Tutorial3.2

This scatter plot displays the Iris dataset, plotting sepal length against petal length and using different point shapes to distinguish between the three iris species. The visualization uses D3 v7 to create the plot, with a categorical shape scale assigning distinct symbols (from `symbolsFill`) to each species. Axes are rendered using D3's `axisLeft` and `axisBottom` functions, while a custom legend wizard communicates the shape-to-species mapping. Data is fetched asynchronously from a remote CSV file and parsed with `csvParse` before being passed to the chart.

Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length. Points are colored and shaped by species, with a legend mapping shapes to the three iris species. The visualization is built using D3 v7, employing force-directed layout principles through `d3.scaleLinear` and `d3.scaleOrdinal` for scales. The chart fetches data from a remote CSV, parses it with `d3.csvParse`, and renders marks via `d3.symbol` with axes generated by `d3.axisLeft` and `d3.axisBottom`.

IIkram Mohammed

Activity6Task3.2

This scatter plot displays Iris flower measurements, plotting sepal length against petal length for individual specimens. Each point’s shape encodes the species category, with a dedicated legend identifying the three species groups. The visualization loads the Iris dataset from a GitHub-hosted CSV file and parses it using `d3.csvParse`. It renders marks using the `d3.symbol` API with `symbolsFill` to generate different point shapes, while `d3.scaleLinear` and `d3.scaleOrdinal` handle positional and categorical scaling, and custom axes and legend components are assembled using D3 selections.

Gganesh.hns48@gmail.com

Sshivakumarganji@my.unt.edu

Task-3.2

This scatter plot displays the relationship between sepal length and petal length for the Iris dataset, with species differentiated by shape. The visualization uses D3 v7's `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs to map data to positions and shapes, while `axisLeft` and `axisBottom` render the axes. A custom `shapeLegend` built with D3's `symbol` generator and tick marks shows the species mapping. Data is loaded via `csvParse` from a remote GitHub-hosted CSV file, and the chart fills the browser window using `window.innerWidth` and `window.innerHeight`.

Task 3 3.2

This scatter plot shows the relationship between sepal length and petal length for three iris species, with each species represented by a distinct shape symbol. The visualization uses D3 v7 to render an SVG canvas, employing `scaleLinear` for both axes and `scaleOrdinal` with `symbolsFill` to map species to shapes. A custom shape legend displays the species symbols with labels. The data is fetched from a CSV file and parsed with `csvParse`, with numeric columns converted to numbers. The axes are drawn with `axisLeft` and `axisBottom` from D3's import, and the chart is built using the join pattern for declarative updates.

KKritin Kesav

Activity-8_task-3.2

This scatter plot displays iris flower measurements, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by symbol shapes shown in a custom legend. The visualization uses D3 v7 APIs including `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and `symbol` to generate the marks. Data comes from a CSV file parsed with `csvParse`, and the chart includes labeled axes and a separate shape legend positioned within the SVG.

Ttharunramula@gmail.com

Vvamsikrishnakanchukommala@my.unt.edu

Task-3

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with different agricultural species distinguished by distinct symbols. The visualization uses D3 v7's `scaleLinear` for axes scaling and `scaleOrdinal` with `symbolsFill` to map species categories to different shapes. A shape legend at the bottom right identifies each species, while the plot is rendered using `svg` paths with `symbol` generators. The data is loaded asynchronously from a CSV file fetched from GitHub, and axes are added via custom `axes` and `shapeLegend` functions.