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Task2 Question 1

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Vvishu.valandas@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Task2

This visualization displays the stacked percentages of iris flower characteristics, broken down by passenger ID, as horizontal bars. The chart uses D3.js (v7) with an SVG renderer, employing the `d3.stack()` function to create the stacked segments and `d3.scaleOrdinal()` for color mapping. It reads data directly from a passed dataset, calculating scales with `d3.scaleLinear()` for the x-axis and `d3.scaleBand()` for the categorical y-axis, and includes hover interactions that reduce rectangle opacity.

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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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.

Rraaghaveramireddy@my.unt.edu
85% match
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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.

Mmythripopuri2001@gmail.com
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Question2_Task2

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.

NNagalakshmi Thota
83% match
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Activity 6_Question 2

This stacked horizontal bar chart displays the percentage distribution of iris flower species, comparing the proportion of setosa, versicolor, and virginica flowers across different percentage ranges. The visualization uses D3.js v7 to render SVG elements, employing the d3.stack function to compute cumulative bar segments and d3.scaleOrdinal with a color scale to distinguish each species. Interactive tooltips appear on mouseover, revealing the exact percentage value for each segment. The data originates from the classic Iris dataset, with axes labeled for percentage and species categories.

Ttallavijayalakshmi0710@gmail.com
82% match
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Task 8 Q2_Vitesh Chalicheemala

This visualization displays the percentage distribution of iris species across the entire dataset using a 100% stacked bar chart. Each horizontal bar represents a species, segmented by color-coded proportions of the four measured attributes. The chart uses D3.js v7 with an SVG rendering approach, employing `d3.stack()` to compute stacked values, `d3.scaleLinear()` and `d3.scaleBand()` for axes, and `d3.scaleOrdinal()` for color mapping. Hovering over any segment reveals the precise percentage contribution of that attribute to the selected species via an interactive tooltip.

Mmanju.972@gmail.com
82% match
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Activity6_Question2

This stacked bar chart displays the percentage distribution of iris flower measurements (sepal length, sepal width, petal length, and petal width) across the three iris species. The visualization uses d3.v7 with d3.stack() to stack the percentage values for each species, d3.scaleBand for the categorical y-axis, and d3.scaleLinear for the percentage x-axis. A color scale maps each measurement type to a distinct color, and the chart includes hover interactions that display tooltips showing the exact percentage values for each segment.

Vvankayalapatimounika2000@gmail.com
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Activity6_Task 2.1

This stacked bar chart displays the percentage distribution of four iris flower measurements—sepal length, sepal width, petal length, and petal width—across the three iris species in the classic iris dataset. The visualization uses D3 v7 to load and parse the CSV data, then renders the stacked bars in SVG using d3.stack() and d3.scaleBand() for the categorical species axis. A d3.scaleLinear() maps the percentage values, and mouseover interactions trigger tooltips showing exact percentages via d3.format().

DDeekshitha Annreddy
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Task8_Question2_HKK

This example shows a stacked bar chart of the Iris dataset, displaying the contributions of sepal length, sepal width, petal length, and petal width per species. It loads data from a remote CSV file using `d3.csv`, and uses `d3.stack`, `d3.scaleBand`, and `d3.scaleLinear` to compute and position the layers. The visualization renders as SVG, with each species on the x-axis and cumulative measurement values on the y-axis, colored distinctly per attribute.

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