Assignment-6_Question-2

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Assignment-6_Question-2

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Last edited Oct 25, 2024

Created on Oct 25, 2024

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.

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Creating stacked bar chart using the Products data

MIT Licensed

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Activity-6_Question-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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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.

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question-2

A horizontal stacked bar chart displays the percentage distribution of product categories across rating levels, from "Below 4" to "Above 8," with each bar partitioned into colored segments. The visualization uses D3.js v7 to import data from a CSV file, applying `d3.stack` for cumulative bars, `d3.scaleBand` for the category axis, and `d3.scaleOrdinal` for color encoding. Interactive tooltips reveal exact percentages on hover, triggered by mouse events, while the SVG rendering includes custom axis labels and a legend.

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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.

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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.

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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.

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task 8 question 2.2

A stacked horizontal bar chart shows the proportion of ratings (below 4, 4-5, 5-6, 6-7, 7-8, above 8) for six food categories, with each bar segmented by rating range. The visualization uses D3.js v7 with SVG rendering, employing d3.stack() to aggregate the data, d3.scaleBand() for the category axis, d3.scaleLinear() for the percentage axis, and d3.scaleOrdinal() for color encoding. Interactive tooltips display the exact percentage of each rating segment on hover, using event listeners and d3.format() to present values. The data is loaded from a CSV file containing pre-computed proportions.

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Activity6_Question2

This stacked bar chart displays the distribution of chocolate ratings across five brands, showing the proportion of ratings in five percentage-based categories from “below 5.0” to “above 8.5.” The code uses d3.stack() to generate the stacked series and d3.scaleOrdinal for color mapping, with d3.axisBottom and d3.axisLeft for axes. Interactive tooltips appear on mouseover, showing the exact percentage per rating category. The data comes from a local CSV file loaded with d3.csv, and the visualization is rendered as SVG with a linear x-scale for percentages and a band scale for categories.

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