Skip to main content
SimilarExport ZIP
100%

Activity6Question2

✓ Published0🌍 Public
Aalapati98@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Activity6_Task2

This example shows the distribution of ratings across five categories—AI Research, Machine Learning Development, and others—using a stacked horizontal bar chart. Each bar segment represents the percentage of ratings within a rating band, such as "below 5.0" or "7.5-8.5". The visualization uses d3.stack() to structure the data and d3.scaleOrdinal for color mapping. Mouse interactions trigger tooltips that display exact percentages, while d3.axisBottom and d3.axisLeft label the chart. Data is loaded from a CSV file with d3.v7.

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

Similar vizzes

Loading thumbnail…

Activity6_Question2

This example shows a stacked bar chart comparing ratings across six AI-related categories, with each bar divided into five percentage-based rating brackets (below 5.0 through above 8.5). The visualization uses D3 v7 to load the CSV data, apply `d3.stack()` to compute the stacked segments, and render them as SVG rectangles scaled with `d3.scaleLinear` and `d3.scaleBand`. Hover interactions trigger a tooltip displaying the exact percentage for each segment, and colors are assigned via `d3.scaleOrdinal`.

CChandra Prakash Reddy Kalwakolu
93% match
Loading thumbnail…

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
90% match
Loading thumbnail…

Activity6_Question2

This stacked bar chart displays the distribution of user ratings across five tech categories, with each bar proportionally segmented from "below 5.0" to "above 8.5." Using d3.scaleBand for the categorical y-axis and d3.scaleLinear for the percentage x-axis, the chart employs d3.stack to compose the segments. A hover tooltip reveals exact percentages per segment, with the data loaded via d3.csv. SVG rendering and smooth opacity transitions for the tooltip enhance interactivity.

Bbhargavr016@gmail.com
90% match
Loading thumbnail…

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.

Ggreeshmareddy135@gmail.com
90% match
Loading thumbnail…

Activity6_Ques2

This stacked bar chart compares the percentage distribution of ratings across six categories—Technology, Finance, Healthcare, Education, Sports, and Entertainment—using horizontal bars. Each bar is segmented into five rating bands, from "below 4.0" to "above 9,” with a legend in the right margin. The visualization uses D3 v7's `d3.stack()` to aggregate the data and `d3.scaleOrdinal()` for color mapping. An SVG renders the chart, while mouseover events display a tooltip showing the exact percentage for each segment. The data is loaded from a local CSV file.

Nnithinnc@outlook.com
90% match
Loading thumbnail…

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
89% match
Loading thumbnail…

Activty6_Question2_3

This horizontal stacked bar chart visualizes the proportional distribution of ratings across five categories (Technology, Science, Education, Healthcare, Finance) for a single metric. The stacked segments represent rating ranges from "Below 5.0" to "Above 8.5," with each bar scaled to 100% width. The visualization uses D3.js v7 with the `d3.stack()` and `d3.stackOffsetExpand` API to create normalized segments, color-coded via `d3.scaleOrdinal`. Labels display percentage values on segments wider than 40 pixels, and tooltips via SVG `<title>` elements provide exact percentages. Data is embedded directly in the HTML source.

Ssriharshithaanugu5@gmail.com
89% match
Loading thumbnail…

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
89% match