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Activity-6 Task-3

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Aarthireddykota@my.unt.edu
Last edited Apr 4, 2024
Created on Apr 4, 2024

This example visualizes the distribution of vegetable pH ratings across five categories, from below 5.0 to above 8.5, using a horizontal stacked bar chart. Each bar represents a vegetable, with segments colored by pH range and a tooltip showing the exact percentage on hover. The code loads D3 v7 via UNPKG, uses `d3.stack()` to compute stacked series, `d3.scaleOrdinal` for color mapping, and `d3.axisBottom` with gridlines for the percentage axis. Data comes from the included `data.csv` file, and the SVG rendering is driven by D3’s data-join pattern.

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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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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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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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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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_Question 3

This stacked bar chart visualizes the distribution of fruit ratings across six categories, from “below 4.0” to “above 8.0.” Each horizontal bar represents a fruit, with segments colored by rating category and proportional widths indicating percentages. Built with D3 v7, the example uses `d3.stack()` for data transformation, `d3.scaleBand` for the y-axis, and `d3.scaleLinear` for the x-axis. It loads CSV data from a local file, renders SVG, and adds interactive tooltips on mouseover, styled with CSS.

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activity-6-a-2

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Activity 6 Question 2

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