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Question2_Task2

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NNagalakshmi Thota
Last edited Oct 24, 2024
Created on Oct 24, 2024
Forked from Hello VizHub

A stacked bar chart visualizes the distribution of three iris species (setosa, versicolor, virginica) across sepal length values. The chart uses d3.csv to load the Iris dataset and d3.stack to create the stacked series, with d3.scaleOrdinal for color mapping. Each bar segment’s height represents the sepal width contribution per species, rendered as SVG rectangles via D3’s data joins and axis scales (d3.scaleBand, d3.scaleLinear). A legend identifies species colors.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

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Task2_Question

This example visualizes the Iris dataset as a stacked bar chart, where each bar represents one of the three iris species and is divided into segments corresponding to sepal length, sepal width, petal length, and petal width. The chart uses D3 v7 to load the data from a CSV file, stack the four measurement categories, and render them as color-coded rectangles on an SVG canvas. The code demonstrates d3.csv for data loading, d3.scaleBand for the x-axis, d3.scaleLinear for the y-axis, d3.scaleOrdinal for colors, and d3.stack for computing the stacked segments.

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Activity6_Task2 (question2)

This stacked bar chart visualizes the mean measurements of sepal length, sepal width, petal length, and petal width for three iris species: setosa, versicolor, and virginica. Each horizontal bar represents a species, segmented into colored sections corresponding to each measurement type, with tooltips displaying exact mean values on hover. The visualization loads data from iris.csv using D3 v7, applying a linear scale for the x-axis and a band scale for the y-axis. It employs `d3.stack()` to compute stacked bar segments, `d3.scaleOrdinal()` for color encoding, and renders all elements as SVG with interactive mouseover tooltips.

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question2.1

This visualization shows a stacked bar chart of the Iris dataset, displaying the total sepal and petal measurements for each species. The chart uses d3.stack() to aggregate the four numerical attributes into color-coded segments per species, with a tooltip showing individual segment values on hover. The visualization renders with SVG, using d3.scaleOrdinal for colors, d3.scaleBand for the species axis, and d3.scaleLinear for the measurement axis. A legend identifies each attribute, and the data is loaded from an external CSV file using d3.csv.

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question2

This stacked bar chart visualizes the Iris dataset, showing the average measurements of sepal length, sepal width, petal length, and petal width for three Iris species: setosa, versicolor, and virginica. Using D3.js v7, the visualization applies `d3.stack()` to arrange the four numerical attributes as stacked segments within each species category. The code uses scale bands and linear scales for positioning, with color encoding via `d3.scaleOrdinal` and the Category10 color scheme. The resulting SVG provides a compact comparison of the relative contributions of each measurement type across species.

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task 2 question 2

This example visualizes the percentage distribution of iris flower measurements (sepal length, sepal width, petal length, and petal width) across three species: setosa, versicolor, and virginica. It renders a stacked horizontal bar chart in SVG, with each bar representing a species and colored segments showing proportional contributions of each measurement type. The code uses d3.stack() to compute the stacked values, d3.scaleOrdinal() for color mapping, and d3.scaleLinear() and d3.scaleBand() for positioning. Interactive tooltips display precise percentage values on mouseover, with data loaded from the built-in Iris dataset.

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Activity-8_Question-2

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This stacked bar chart visualizes the distribution of four flower measurements—sepal length, sepal width, petal length, and petal width—across the three Iris species. Each horizontal bar represents a species, with segments proportional to the percentage of each measurement type. Hovering over a segment reveals the exact percentage via a D3 tooltip. The chart uses `d3.csv` to load the Iris dataset, `d3.stack` for stacking, and `d3.scaleBand` for the y-axis, with data rendered as SVG rectangles.

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This stacked bar chart visualizes the proportion of sepal length and sepal width measurements across three iris species, demonstrating how these attributes vary by category. Each species is represented as a full-height bar segmented into two colored sections, with the y-axis showing the summed measurement values. The visualization uses d3.stack() to construct the stacked series and d3.scaleBand with d3.scaleLinear for positioning. Hovering over any segment triggers a tooltip displaying the species and exact value, while d3.axisLeft and d3.axisBottom label the axes. Data comes from the included CSV file.

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