Stacked Bar Charts

100%

Stacked Bar Charts

✓ Published0🌍 Public

Last edited Apr 4, 2024

Created on Apr 4, 2024

This example displays stacked bar charts of university rankings, with each bar segmented by weighted scores for Teaching, Research, Citations, Industry Income, and International Outlook. The visualization uses D3 v6 APIs such as `d3.stack`, `d3.scaleBand`, `d3.scaleLinear`, and SVG rendering to draw the chart. An interactive legend highlights a selected category by adjusting bar opacity on mouseover, while a button triggers data processing from a CSV file. The code loads university data and computes weighted score contributions for each segment.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Stacked Bar Charts

This stacked bar chart displays the weighted performance scores of universities across five categories: Teaching, Research, Citations, Industry Income, and International Outlook. The data, sourced from a CSV file, is loaded using d3.csv and rendered as SVG rectangles arranged with d3.stack. Users can sort universities by overall score or individual category in ascending or descending order via drop-down menus and a confirm button. Hovering over the legend highlights one category while dimming others.

方方顗棠

89% match

Loading thumbnail…

stacked bar chart

This stacked bar chart displays the weighted scores of universities across five categories: teaching, research, citations, industry income, and international outlook. The chart reads the data from `university.csv` and renders it as an SVG, with each bar representing a university and segmented by score category. Users can interactively sort the universities by any of the five scores, in either ascending or descending order, using dropdown menus. The visualization uses D3 v4 APIs including `d3.scaleBand`, `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.stack`, and `d3.axisBottom` to construct the chart.

Cchingching17

89% match

Loading thumbnail…

HW5: Stacked Bar Charts

This interactive stacked bar chart visualizes university rankings across five weighted performance indicators: Teaching, Research, Citations, Industry Income, and International Outlook. Users can sort universities by overall score or individual metrics in ascending or descending order via dropdown menus. The chart employs React with D3.js v6, using d3.stack() to compose the stacked bars and d3.scaleBand() for the x-axis. An SVG legend provides hover highlighting, adjusting bar opacity to emphasize selected categories while dimming others.

LLSAWB

88% match

Loading thumbnail…

HW5: Stacked Bar Charts

This example visualizes World University Rankings as stacked bar charts, displaying the contribution of five scoring categories (Teaching, Research, Citations, Industry Income, and International Outlook) for each university. Users can select a sorting methodology and order from dropdown menus to reorder the bars. The visualization uses React, D3 v6, and SVG, leveraging `d3.stack`, `scaleBand`, `scaleLinear`, and `axisBottom` to construct the chart. A tooltip shows exact segment values on hover, and hovering over legend items highlights the corresponding category while fading others.

Ccpsu00

87% match

Loading thumbnail…

Fork of Interactive Stacked Bar Chart

This interactive stacked bar chart visualizes university ranking data from the Times Higher Education World University Rankings, displaying weighted scores across five categories: Teaching, Research, Citations, Industry Income, and International Outlook. The D3.js v6 code uses `d3.stack()` to compute stacked series and `d3.scaleBand()` for the x-axis, with `d3.axisLeft()` and `d3.axisBottom()` for axes. Hovering over legend circles highlights the corresponding segment by adjusting rectangle opacity via `svg.selectAll()`, while a user interface allows re-sorting bars by different metrics and ascending or descending order.

Jjerry70938@gmail.com

87% match

Loading thumbnail…

Stacked Bar Charts_3

This example visualizes the Times World University Rankings 2024 as a set of stacked horizontal bar charts, with each bar representing a university and its segments showing scores for teaching, research, citations, industry income, and international outlook. Users can sort the universities by any of these criteria in ascending or descending order via dropdown menus. Built with D3.js, the visualization uses `scaleLinear`, `scaleBand`, `scaleOrdinal`, and the `stack` API to generate the SVG chart, while a custom tooltip displays exact segment values on hover. The data comes from a CSV file.

Wweird_danger

87% match

Loading thumbnail…

Stacked Bar Charts_1

This stacked bar chart visualizes Times Higher Education World University Rankings 2024 data, showing the distribution of five score components—teaching, research, citations, industry income, and international outlook—across universities. Users can sort the bars by any component in ascending or descending order via dropdown menus. The visualization uses d3.stack for data grouping, d3.scaleBand and d3.scaleLinear for axes, and tooltips with mouseover events to reveal individual score details. The SVG-based rendering loads data from a CSV file, with each bar segment colored according to its corresponding performance metric.

Wweird_danger

86% match

Loading thumbnail…

Stacked Bar Charts_2

This interactive stacked bar chart visualizes the Times Higher Education World University Rankings 2024, breaking down each university's overall score into five components: teaching, research, citations, industry income, and international outlook. Users can sort the universities by either total score or any individual criterion and toggle between ascending and descending order. Built with D3.js (version 7.9.0), the visualization uses `d3.stack()` to generate the stacked segments, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the continuous x-axis. Hovering over any segment displays a tooltip showing the university name and the component score. The data is loaded from a CSV file containing 2024 ranking information.

Wweird_danger

85% match