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task2 question

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Llingaladineshteja23@gmail.com
Last edited Apr 6, 2024
Created on Apr 6, 2024
Forked from Hello VizHub

A stacked bar chart displays the percentage distribution of five rating levels across different vegetables, with each bar segment colored by rating category and totaling 100%. Hovering over a segment highlights it and reveals a tooltip with the exact percentage for that vegetable and rating level. The visualization uses D3 v7’s `d3.stack()`, `d3.scaleOrdinal`, `d3.scaleLinear`, and `d3.scaleBand` to encode data from a CSV file, rendering segments as SVG rectangles with mouse event handlers for interaction.

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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task 8 question 2.2

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Activity6_Task2.1

This example shows a stacked horizontal bar chart comparing the percentage distribution of vegetable ratings across six categories, from “below 4.0” to “above 8.0.” The visualization uses D3 v7’s `d3.stack()` to compute the stacked segments, with `d3.scaleOrdinal()` for color mapping and `d3.scaleBand()` for the vegetable categories. Each bar segment displays a tooltip on mouseover, showing the exact rating percentage. The chart loads data from a CSV file and renders as SVG, with axes and labels styled via external CSS.

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Activity-6 Question-2

This stacked bar chart displays the distribution of vegetable ratings across six categories, from “below 4.0” to “above 8.0,” using percentage values loaded from a CSV file. The visualization uses d3.stack, d3.scaleBand, d3.scaleLinear, and d3.scaleOrdinal to render SVG bars, with a tooltip on mouseover showing the exact percentage for each rating segment. Color-coded segments represent each rating range, and axes are labeled with a custom title and percentage axis.

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Activity6_Question3

This example shows a stacked horizontal bar chart comparing the percentage of ratings (from below 4.0 to above 8.0) for six different vegetables, with each segment colored by rating category. It uses d3.stack to transform the CSV data into stacked series and d3.scaleOrdinal for color mapping. The visualization relies on d3.axisLeft and d3.axisBottom for axes, while custom mouseover events trigger opacity changes and a tooltip displaying the exact percentage for each segment. The chart renders as SVG with axes and labels styled via external CSS.

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Fork of Activity-6 Question-2

This example presents a horizontal stacked bar chart showing the percentage distribution of vegetable ratings across six categories, from "below 4.0" to "above 8.0." The chart uses D3 v7’s `d3.stack()` and `d3.scaleBand()` to construct the layered bars, with `d3.scaleOrdinal()` assigning colors. Mouseover events trigger a custom tooltip displaying the exact percentage for each segment. Data loads from a local CSV file, and the visualization renders as SVG with axes labeled by vegetable type and percentage.

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Activity-6 Question-2

This visualization shows the distribution of ratings for six vegetables, each broken into five percentage ranges. It uses D3 v7 to render a horizontal stacked bar chart as an SVG, with the vegetables on the y-axis and the percentage scale on the x-axis. The chart employs `d3.scaleLinear` and `d3.scaleBand` for scaling, `d3.stack` to aggregate data from the CSV file, and a custom tooltip that appears on mouseover to display the exact percentage for each rating category.

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A horizontal stacked bar chart shows the proportion of ratings (Below 4 through Above 8) for six food categories, with each bar segmented by rating level and colored by category. The visualization uses D3 v7 with an SVG renderer and d3.stack to compute stacked segments, d3.scaleBand for the categorical y-axis, and d3.scaleLinear for the percentage x-axis. Tooltips display exact percentages on mouseover, and a legend identifies each rating color. Data comes from a CSV file containing proportional values for fruit, vegetables, meat, dairy, grains, and snacks.

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