Task8_Question3_HKK

Hhemanthkakani1999@gmail.com

Task8_Tutorial3.2_HKK

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. It encodes the three iris species using different symbol shapes, with a legend labeled "SPECIES" positioned at the right. The visualization is built with D3 v7, using `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for shape encoding, and a custom `shapeLegend` module. Data is loaded asynchronously from a CSV file and parsed with `csvParse`, with all marks rendered as SVG `path` elements.

Ssivachandraramanaidu.vnof52@gmail.com

Task3.1

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each of the three species colored distinctly (setosa, versicolor, virginica). The visualization uses D3 v6 APIs, including `d3.csv`, `d3.scaleLinear`, `d3.extent`, and D3's axis generators (`axisLeft`, `axisBottom`) to render an SVG chart. Data is loaded from a remote CSV URL, with each point represented as a circle whose color is determined by species. The plot includes custom axis labels, with the chart sized to fill the browser window.

Kkotipallipavan54@gmail.com

Task-3

This scatter plot visualizes the Iris dataset, mapping petal length and width as the primary axes while encoding sepal dimensions through elliptical marker shapes. Points are colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3's scaleLinear for axis scaling and extent for domain calculation. The visualization loads data from a GitHub-hosted CSV, employs D3 v6's select and join operations to bind data to SVG circles, and uses axisLeft/axisBottom for labeled axes.

Hhemanthkakani1999@gmail.com

Task8_Tutorial3.1_HKK

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis and petal width on the y-axis, with data points colored by species (setosa, versicolor, virginica). The visualization is rendered as an SVG using D3 v6, employing `scaleLinear` for axes, `extent` for domain scaling, and `axisLeft`/`axisBottom` for ticks. Circle radii are fixed, while the code also maps sepal dimensions to `rx`/`ry` attributes, though these do not affect the circular marks. The plot includes rotated axis labels for petal length and sepal length.

Cchandrikachowdary867@gmail.com

Task_3_Question_6

This scatter plot visualizes the Iris dataset, showing sepal length against petal length with points colored and shaped by species. The visualization uses D3 v7 with multiple modules: `scaleLinear` for coordinate mapping, `scaleOrdinal` with `schemeCategory10` for color encoding, and `symbol` for shape differentiation. A custom shape legend explains the species markers, while standard axes with labels are rendered via `axisLeft` and `axisBottom`. Data is loaded as CSV from GitHub and parsed with `csvParse`, then numeric fields are converted before rendering.

Nneerajreddyaluka@gmail.com

Activity6_Question3

This scatter plot visualizes the Iris dataset, mapping sepal length and sepal width for three species (setosa, versicolor, virginica) as colored circles. Using D3 v6 via UNPKG, it employs `csv` to load data, `scaleLinear` for axes, `axisBottom` and `axisLeft` for tick labels, and `select` to build an SVG. The plot is responsive, sized to the browser window, and styled with a red, centered title.

SSekharofficial2022@gmail.com

task_3 sekhar

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each of the three species (setosa, versicolor, virginica) colored distinctly (skyblue, lightgreen, orange). The visualization uses D3 v6 (d3.scaleLinear, d3.extent, d3.axisLeft, d3.axisBottom) to map data to SVG circles, with axes labeled and the dataset loaded via d3.csv from a GitHub raw URL. The code also references sepal measurements as attributes on the circles, though these are not visually encoded in the final rendering.

MMahimaChowdaryKasthala@my.unt.edu

Activity_6(task 3)

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis against petal width on the y-axis, with each of the three iris species (setosa, versicolor, virginica) distinguished by a distinct color. The visualization uses D3 v6 to render SVG circles, with axes, labels, and a legend generated via `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleOrdinal`. Data is loaded asynchronously from a remote CSV file, and the plot employs `d3.extent` to set linear scales for the axes.