Activity 6 Task 3

Jjahnavigummadi@my.unt.edu

Activity6_task3

This visualization displays a scatter plot of the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis. Data points are colored by species (setosa, versicolor, and virginica) using a predefined color scale. The example uses D3 v6 via UNPKG, loading CSV data asynchronously with `d3.csv`, and rendering circles with an SVG-based approach. Axes are generated through `d3.axisLeft` and `d3.axisBottom`, with linear scales (`d3.scaleLinear`) for positioning and `d3.extent` for domain calculation, resulting in a clean, labeled chart.

Ddineshreddy.ravula@gmail.com

Activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, while coloring each circle by species (setosa, versicolor, and virginica). The chart displays all 150 data points using SVG circles, with species-specific colors applied via a switch function. Built with D3 v6, the visualization uses `d3.csv` to load data from a GitHub-hosted CSV, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Axis labels are styled with green text for petal length and sepal length.

Ssuchigeneralpur@gmail.com

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, using petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The code loads CSV data via `d3.csv`, maps values using `scaleLinear`, and renders the plot as an SVG with circles and axes. It also incorporates sepal length and width as custom `rx` and `ry` attributes on the circles. The chart uses D3 v6 with `axisLeft`, `axisBottom`, and `selectAll().data().join()` for data binding, sized to the full window.

Ppenujulilikhil01020@gmail.com

Activity 6_Task 3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica) using orange, skyblue, and lightgreen markers. It loads data from a CSV file via D3's `csv` function, then renders circles on an SVG canvas using `scaleLinear` and `extent` to set scales. Axes are generated with `axisLeft` and `axisBottom`, labeled with custom text elements. The visualization demonstrates D3 v6 imported via UNPKG and uses local variable destructuring for modular code.

Aamarnadhkari98@gmail.com

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis while coloring each point by species. Using D3 v6, it loads CSV data via `d3.csv`, applies `scaleLinear` for both axes, and renders circles with `d3.selectAll` and `.join`. Axis labels are added via `axisLeft` and `axisBottom`, with rotated text for the vertical label. Despite naming variables for sepal length and width, only petal dimensions are plotted, while species hues are hardcoded for setosa, versicolor, and virginica.

Cchandrikachowdary867@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—revealing distinct clusters. Using D3 v6, the code loads CSV data, applies linear scales via `scaleLinear`, and renders SVG circles with `selectAll` and `join`. The chart includes left and bottom axes from `axisLeft` and `axisBottom`, with rotated axis labels for petal dimensions.

AAnirudhaKulakarniKaranam@my.unt.edu

Activity6_task3

This visualization displays the Iris dataset using a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, or orange. The code loads CSV data from a GitHub repository via `d3.csv`, scales axes with `d3.scaleLinear`, and renders SVG circles with `d3.selectAll` and `data.join`. Axis labels are added using text elements, while `d3.axisLeft` and `d3.axisBottom` generate the tick marks.

Activity 6_Task3.1

This visualization displays the Iris dataset as a scatter plot, mapping petal length and width for each flower specimen. The D3 v6 code colors the circular marks by species—setosa, versicolor, and virginica—using a custom switch function. The SVG chart is created with d3.select, scaleLinear, extent, and axis functions, loading data from a CSV via d3.csv and parseRow.

SSiva Kishore Reddy