Activity6_Tutorial_3.1_Scatter Plot

Ttallavijayalakshmi0710@gmail.com

Activity 6_Tutorial 3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Each circle is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—making species clusters visible. The visualization loads CSV data via `d3.csv`, uses `scaleLinear` and `extent` for axis scaling, and renders SVG circles with `d3.selectAll` and `join`. Axis labels are added with `axisLeft` and `axisBottom`, while custom text labels annotate the axes. The chart uses D3 v6 and is displayed in a full-window SVG layout.

Ggreeshmareddy135@gmail.com

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The visualization uses d3.v6 to load the CSV data, scaleLinear for axes, and axisLeft/axisBottom to render the scales. Points are drawn as SVG circles, and while the code references sepal dimensions, the visible plot only displays petal measurements.

Kkaringusathwika@gmail.com

Activity6_Tutorial3-1

This scatter plot visualizes the Iris dataset, mapping 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 visualization uses d3.scaleLinear for axis scaling, d3.extent to compute data domains, and d3.axisLeft/d3.axisBottom for tick rendering. Circles are drawn as SVG elements with a fixed radius, while the code also calculates sepal dimensions for each point but does not apply them to the mark size. Data is loaded asynchronously from a CSV via d3.csv, and the chart resizes to the browser window.

Sshreshikaveerannagari@gmail.com

activity6_tutorial3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load the CSV data from a GitHub repository and render the scatter plot as an SVG, with linear scales for both axes and axis labels for petal length and sepal length. The code constructs circles with D3 joins, assigning distinct colors based on species categories, and includes left and bottom axes using D3's axis functions.

Vvenkatdinesh5010@gmail.com

Activity6_tutorial3.1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—with all points rendered as fixed-size circles. The visualization uses the `d3.csv` loader to fetch data from a GitHub repository, `d3.scaleLinear` for axis scaling, and `d3.axisLeft` and `d3.axisBottom` for chart axes. The SVG canvas resizes to the browser window, and the code employs D3's data-join operator (`.join`) to efficiently bind data to circle elements.

Activity6_Tutorial3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three species, with each point colored by species (skyblue, lightgreen, or orange) and sized by sepal dimensions. The visualization uses D3 v6's `csv` loader to fetch data from a GitHub gist, then applies `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to create scaled axes and map data coordinates to SVG circle elements. The chart renders within a full-window SVG, with green axis labels and a red title, highlighting species clusters across the petal measurements.

Ggnanendra097@gmail.com

Yyadlapallisaisathvik@gmail.com

Activity6 Tutorial3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). It renders as an SVG using D3 v6, employing `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, map scales, and draw axes. The code also applies a custom marker function to assign species-specific colors to each circle. Data is sourced from a raw GitHub CSV file, with page-filling dimensions based on `window.innerWidth` and `window.innerHeight`.

Kkaringusathwika@gmail.com

Activity 6 tutorial 3-1

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower sample. Points are colored by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange markers. The visualization loads CSV data from a GitHub gist, parses it, and builds a D3 v6 SVG chart with `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, `d3.axisBottom`, and `d3.select` for DOM manipulation. Axis labels are added for petal dimensions, while the viewport uses `window.innerWidth` and `window.innerHeight` for sizing.