Activity6_Task2

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Activity6_Task2

✓ Published1🌍 Public

Kkrishnavisheshkatta@my.unt.edu

Last edited Apr 10, 2024

Created on Apr 9, 2024

This stacked bar chart visualizes the distribution of cosmetic brand ratings across five percentage-based categories, from "below 5.0" to "above 8.5". Each horizontal bar represents a brand (e.g., Clinique, ELF, Sephora), with segments colored by rating category. The D3.js code uses `d3.stack()` to compute cumulative values, `d3.scaleLinear()` for the x-axis, and `d3.scaleBand()` for the categorical y-axis. It renders to SVG, includes interactive tooltips on mouseover showing exact percentages, and loads data from a CSV file.

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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A stacked horizontal bar chart displays the distribution of product ratings across six cosmetics brands, with each bar segmented into five rating categories from "below 5.0" to "above 8.5." The chart uses SVG rendering with D3 v7, employing `d3.stack()` to compute the stacked series, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the percentage x-axis. Mouseover interactions reveal tooltips with precise percentage values for each brand and rating segment. Data comes from a CSV file loaded with D3’s data parsing.

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