Skip to main content
SimilarExport ZIP
100%

Activity_6_Question_2

✓ Published0🌍 Public
AAbrarb702@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Activity_6_Task_2

This stacked bar chart visualizes the distribution of rating categories within different subjects, showing how each subject’s marks are proportionally divided across five bins (e.g., below 35, 36-45, up to 75-100). It uses `d3.stack` to layer the rating proportions per subject on the y-axis, with a linear x-axis representing percentages. Interactive hover events display a tooltip for precise percentage values. The chart is rendered as SVG and relies on `d3.axisBottom` for the x-axis, `d3.axisLeft` for the y-axis, and a custom `d3.select`-based tooltip, with styling via CSS.

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

Similar vizzes

Loading thumbnail…

Activity-6-Question-2

A stacked bar chart shows the percentage of student ratings across six subjects, with each bar segmented into five rating bands from "below 60%" to "above 90%". The chart uses `d3.stack()` to compute the layered data and `d3.scaleOrdinal()` for color encoding. Interactive tooltips appear on mouseover, displaying the exact percentage for each segment. The visualization is rendered as an SVG with axes created via `d3.axisLeft()` and `d3.axisBottom()`, reading data from a local CSV file.

Nnaveen.dodda4321@gmail.com
91% match
Loading thumbnail…

Activity6_Question2.3

This example presents a stacked horizontal bar chart that visualizes the distribution of grade percentage ranges (e.g., Below 60%, 60%-70%) across various academic subjects. Each bar is segmented by color-coded rating categories, with the width of each segment representing the proportion of ratings in that category. The visualization uses D3.js v7, employing `d3.stack()` for data restructuring, `d3.scaleBand()` for the categorical y-axis, and `d3.axisBottom()` for the continuous x-axis. Hovering over a segment reveals a tooltip with the exact percentage for that subject and rating band. Data comes from a CSV file.

Mmasters200128@gmail.com
91% match
Loading thumbnail…

Fork of Activity6_Question 2

This stacked bar chart visualizes the distribution of performance ratings across six academic subjects, using data from a CSV file. Each bar is segmented into five percentage ranges, from below 60% to above 90%, with colors mapping to each category. Built with D3 v7, the visualization uses `d3.stack()` to create the stacked series, `d3.scaleBand()` and `d3.scaleLinear()` for axes, and an SVG renderer. Interactive tooltips display exact percentage values on mouseover, while a legend identifies the rating categories.

Kkowshiksamudrala08@gmail.com
89% 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
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

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
88% 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
88% 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
88% match