Activity_6_Q4.9

Mmanideepchinna25@gmail.com

Activity_8_Question-4

This bubble chart visualizes the Iris dataset, showing sepal length on the x-axis, sepal width on the y-axis, and petal length encoded as circle radius using d3.scaleSqrt. Each of the 150 flower samples appears as a semi-transparent steelblue circle. The chart uses d3.csv to load external data, d3.axisBottom and d3.axisLeft for axes, and d3.extent for domain calculation, rendering in SVG within an 800×600 viewport. Tooltip styling is predefined but not implemented.

Activity-6 Q4

This bubble chart visualizes the Iris dataset, showing sepal length on the x-axis, sepal width on the y-axis, and petal length controlling bubble size, with colors distinguishing the three species. Built with D3.js v7, it uses `d3.csv` to load data, `scaleLinear` for axes and sizing, and SVG circles for rendering. Interactive tooltips appear on mouseover, displaying the species and all four flower measurements, while hovering increases bubble opacity and stroke width.

Hharshaps15@gmail.com

Ttarun.chintada46@gmail.com

Activity_6_Q3.1

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). The SVG rendering uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the chart. The code loads CSV data directly from a GitHub repository via `d3.csv`, parses numeric fields, and encodes sepal measurements as the circle’s `rx` and `ry` attributes, though these do not affect the visible radius. Axis labels are added manually with rotated SVG text elements.

Ppenujulilikhil01020@gmail.com

Activity 6_Question 9

This bubble chart visualizes the Iris dataset by mapping sepal length and sepal width to the x- and y-axes, while petal length controls the radius of each semi-transparent steelblue circle. It imports data via `d3.csv`, uses `d3.scaleLinear` and `d3.scaleSqrt` to encode variables, and renders axes with `d3.axisBottom` and `d3.axisLeft`. The chart demonstrates how bubble size adds a third quantitative dimension to a scatterplot.

Activity-8_Question-4

This interactive D3.js bubble chart visualizes the classic Iris dataset, plotting sepal length on the x-axis and sepal width on the y-axis. Each circle’s radius encodes petal length, while its fill color corresponds to the categorical attribute of the flower species. The visualization uses `d3.csv` to load the data, builds a linear scale for both axes and radius, and applies `d3.scaleOrdinal` for color mapping. The chart is rendered as SVG with axes, labels, and semi-transparent circles, providing a clear multi-dimensional view of the dataset’s measurements.

Ttharunramula@gmail.com

Question_4_Activity_6

This visualization displays the Iris dataset as a bubble chart, mapping sepal length and sepal width to the x and y axes while encoding petal length through bubble radius. The SVG chart uses D3 v7’s linear and square-root scales, with axes generated via d3.axisBottom and d3.axisLeft. Data loads asynchronously from a GitHub-hosted CSV using d3.csv, and semi-transparent steelblue circles render the dimensions for each sample.

SSai Sandhya Nannapaneni

Activity6_Q4

This interactive bubble chart visualizes sepal length, sepal width, and petal length for 150 iris flowers, with bubble size encoding petal length and color distinguishing three species. The visualization uses D3 v7 with linear scales for axes, an ordinal color scale, and CSV data loading from a GitHub repository. Hovering over a bubble triggers tooltips displaying species and measurement details, while the semi-transparent circles respond to mouse events for highlighting. The chart renders as SVG with fixed margins and axis labels for sepal dimensions in centimeters.

SSahithi.R

Activity6_Task4_Q4

This interactive bubble chart visualizes the Iris dataset, plotting sepal length against sepal width for three flower species. Circle size encodes petal length, while color distinguishes species. Built with D3.js v7, the SVG visualization includes hover tooltips displaying specimen details and a categorical legend. The chart uses linear scales with `d3.scaleLinear` for axes and bubble sizing, plus an ordinal color scale for species grouping. Data is loaded asynchronously via `d3.csv` from the iris.csv file.

PPothuguntla Pranitha