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Activity 6_Question2

✓ Published0🌍 Public
HHarshita Vairagade
Last edited Apr 13, 2024
Created on Apr 13, 2024

This visualization depicts the distribution of the Iris dataset across three species, showing the percentage of each species. It employs a stacked bar chart to display the proportions, with each bar representing a species and colored segments for each species type. When hovering over a segment, a tooltip reveals the exact percentage. The code uses d3.stack, d3.scaleOrdinal, d3.scaleLinear, and d3.scaleBand to construct the chart, with a custom tooltip for interaction. The visualization is rendered as SVG.

AI-generated description

The impact of genre on movie ratings

This stacked bar chart gives the percentage of each rating level within different movie genres. The aim is to show the impact of genre on movie ratings. When the mouse hovers over each bar, you can see pop-ups of accurate percentage of each rating level within each genre. Total percentage is 1, representing 100%.

MIT Licensed

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Activity 6_Question2

This visualization depicts the distribution of the Iris dataset across three species, showing the percentage of each species. It employs a stacked bar chart to display the proportions, with each bar representing a species and colored segments for each species type. When hovering over a segment, a tooltip reveals the exact percentage. The code uses d3.stack, d3.scaleOrdinal, d3.scaleLinear, and d3.scaleBand to construct the chart, with a custom tooltip for interaction. The visualization is rendered as SVG.

HHarshita Vairagade
100% 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
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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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Activity 6 question 2

This visualization displays the percentage breakdown of four iris flower measurements (sepal length, sepal width, petal length, petal width) for each of the three iris species. Built with D3 v7, it uses a horizontal stacked bar chart where each bar represents a species, and colored segments show the proportional contribution of each measurement. The code employs `d3.stack` to compute the stacked data, `d3.scaleLinear` for the percentage axis, and `d3.scaleBand` for the categorical species axis. Interactive tooltips reveal exact percentage values on hover, while the SVG rendering uses `d3.select` and `d3.append` to construct the chart and handles.

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activity6_que 2

This visualization displays the percentage composition of the Iris dataset, broken down by species and flower part measurements. The horizontal stacked bar chart uses d3.stack to aggregate the data, with each bar representing a different species and colored segments showing the proportional contribution of sepal length, sepal width, petal length, and petal width. The d3.scaleLinear and d3.scaleBand axes map the percentage values, while mouseover interactions trigger a tooltip that reports the exact percentage for each segment. The data is loaded from an external CSV file containing the classic Iris flower measurements.

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act 6 q2

This example visualizes the percentage distribution of the Iris dataset across its three species (setosa, versicolor, and virginica) using a stacked horizontal bar chart. The chart displays the proportion of each measurement type—sepal length, sepal width, petal length, and petal width—per species, with each bar segmented by color and labeled along the x-axis. The visualization uses D3 v7’s `d3.stack`, `d3.scaleLinear`, `d3.scaleBand`, and `d3.axisBottom` to construct the plot. Interactive tooltips, styled via CSS, appear on mouseover to show the exact percentage for each segment. The data is loaded from a local `iris.csv` file.

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Activity 6 Task-2

This visualization shows the distribution of iris flower counts across three species—setosa, versicolor, and virginica—using a simple bar chart. The code loads the Iris dataset via a remote CSV URL and uses D3 v6 APIs such as `d3.rollup`, `scaleBand`, `scaleLinear`, and axis functions to aggregate and display the data as colored rectangles in an SVG. Each bar is color-coded by species, with hover effects that increase opacity. The chart includes labeled axes for species and count, rendered within a full-window responsive layout.

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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().

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