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Activity-6_Question-2

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Aabdul.khader2899@gmail.com
Last edited Apr 6, 2024
Created on Apr 4, 2024
Forked from Activity-6_Task-2

This stacked bar chart shows the distribution of Walmart product ratings across six product categories, with each bar divided into five rating percentage segments from "below 5.0" through "above 8.5." The visualization uses d3.stack() to compute the stacked series and d3.scaleOrdinal with a five-color palette to distinguish rating bands. It renders SVG rectangles with d3.scaleLinear for the percentage x-axis and d3.scaleBand for the categorical y-axis, displaying the percentages formatted to two decimals. Interactive tooltips appear on mouseover, showing the exact rating percentage for each segment.

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Creating stacked bar chart using the Products data

MIT Licensed

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Assignment-6_Question-2

This stacked bar chart shows the distribution of Walmart product ratings across six product categories, with each bar segmented by five rating bands from "below 5.0" to "above 8.5". The visualization uses D3.js v7 with SVG rendering, employing the `d3.stack()` and `d3.scaleBand()` APIs to create the horizontal stacked bars from the CSV data. The ordinal color scale maps the rating bands, and a hover tooltip displays the exact percentage for each segment. The chart includes axis labels and a title, with the percentage values formatted to two decimal places.

Rreachtoshasidhar07@gmail.com
94% match
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Activity6_Question2

A stacked bar chart displays the percentage of five rating levels (Below 5.0, 5.0–6.5, 6.5–7.5, 7.5–8.5, Above 8.5) across six product categories, with each bar totaling 100%. The visualization highlights how rating distributions vary by category. Using d3.stack() and d3.scaleOrdinal for color encoding, the SVG renders horizontal bars via d3.scaleBand and d3.scaleLinear. Interactive tooltips appear on mouseover, showing exact percentage values computed with d3.format, using data from a CSV file.

Jjayanthbalina@gmail.com
88% match
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Fork of Activity6_Question2

This stacked bar chart shows the percentage distribution of five rating levels within six product categories, visualizing how category influences ratings. Each bar segment represents a rating range, with hover interactions displaying exact percentages via tooltips. The visualization uses D3 v7 with a stacked layout, ordinal color scaling, and a band scale for categorical positioning. Data is loaded from a CSV file containing pre-calculated proportions, rendered as SVG rectangles with interactive mouse events.

Ssaibharath7thota@gmail.com
87% match
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Activity6_Question2

This stacked bar chart displays the percentage distribution of ratings across six categories (Technology, Finance, Healthcare, Education, Sports, Entertainment), with each bar segmented into five rating ranges from below 5.0 to above 8.5. The visualization uses d3.stack to compute cumulative segment positions, d3.scaleBand for the categorical y-axis, d3.scaleLinear for the percentage x-axis, and d3.scaleOrdinal for color encoding. Interactive tooltips appear on mouseover, showing the exact percentage for each rating segment, while the SVG rendering includes axes with tick marks and custom styling from the linked CSS.

Ssaisnehapalle@my.unt.edu
87% match
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activity-6 task-2 question2.3

This stacked bar chart displays the proportion of product ratings within five ranges for each superstore category, showing the distribution of customer feedback across different product types. The visualization uses D3.js v7 with a horizontal stacked bar layout where each category row is divided into colored segments representing rating intervals from below 5.0 to above 8.5. The code utilizes `d3.stack()` with `stackOffsetExpand` to normalize each bar to full width, `d3.scaleLinear()` for the x-axis, and `d3.scaleBand()` for category positioning. The data is computed from the CSV file's percentage values, rendered as SVG rectangles with a legend.

Bbhargavireddy4016@gmail.com
86% match
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Question 2 activity 6

A stacked bar chart displays product ratings across three categories: low, moderate, and excellent, using percentage proportions loaded from a local CSV file. D3 v7’s `d3.stack` and `scaleOrdinal` assign colors to rating segments, while `scaleBand` positions products on the y-axis and `scaleLinear` maps proportions to bar widths. Interactive tooltips appear on mouseover, showing formatted percentage values for each rating type. The SVG renderer applies axes with gridlines, a title, and axis labels, styled via external CSS.

Sskykarthik97@gmail.com
86% match
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Activity6_Question2

This stacked horizontal bar chart shows the distribution of ratings for six food categories, from "Below 4" to "Above 8," with each bar segment representing the percentage of ratings in that range. Built with D3 v7, the visualization uses `d3.stack()` to compute the stacked segments, `d3.scaleLinear()` for the x-axis, and `d3.scaleBand()` for the y-axis categories. Hovering over a segment highlights it and displays a tooltip with the exact percentage, while the data is loaded from a local CSV file. The SVG rendering includes custom axis labels and a legend.

PPadmajaKodati@my.unt.edu
86% match
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activity_6 question2

This example presents a stacked horizontal bar chart that visualizes the distribution of low, moderate, and excellent product ratings as percentages, with each bar segment representing a rating category. The chart uses D3 v7's stack, scaleLinear, scaleBand, and axisBottom APIs to construct the visualization from a local CSV file. Interactive tooltips display the exact percentage of each rating when hovering over a segment, achieved through event listeners that calculate the value from the underlying data. SVG rendering handles the output, and the chart is enhanced with custom styling from an external stylesheet.

HHarinathChakali33@gmail.com
86% match