Question1

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✓ Published0🌍 Public

Last edited Oct 22, 2024

Created on Oct 22, 2024

This example displays a stacked bar chart of population by country, segmented by religion, with an interactive color legend that highlights corresponding chart segments on hover. It loads data from a CSV file and uses D3 v5 APIs including `scaleOrdinal`, `schemeCategory10`, and `select`, while relying on `observeResize` from `@curran/responsive-axes` for responsive sizing. The visualization is built through local ES6 modules that separate the chart, legend, and data-parsing logic, with population values converted to millions for readability.

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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Question 2

This stacked bar chart visualizes religious demographics across the top 20 most populous countries, with population values in millions. The visualization uses D3.js version 7.8.5, employing `scaleOrdinal` and `schemeCategory10` for color encoding, `flatRollup` and `stack` for data aggregation, and `scaleLinear`/`scaleBand` for axes. A color legend provides interactive filtering—hovering a religion name highlights the corresponding segments while fading others. The data comes from the CSV file `religionByCountryTop20.csv`, with responsive layout handled by `observeResize` from `@curran/responsive-axes`.

Eeedaraajay02@gmail.com

86% match

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Activity6_question 2

This interactive stacked bar chart visualizes the population distribution across religious affiliations for 20 countries, sourced from a CSV file. Users can hover over either the legend or the stacked bars to highlight a specific religion, with non-matching segments fading to low opacity. The visualization uses D3's `scaleOrdinal` for colors, `stack()` for creating the stacked segments, and `scaleBand` for the categorical country axis. A custom `colorLegend` module handles the interactive hover states, while `@curran/responsive-axes` manages the axes and labels.

Ssasidhharreddy@gmail.com

85% match

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QUESTION-2(TASK-2)

This stacked horizontal bar chart displays population distribution across multiple countries for the years 1950–2020, with each bar segment representing a yearly population count. It uses d3.csv to load the data, d3.stack() to compute the stacked segments, and d3.scaleOrdinal with d3.schemeCategory10 for color encoding. Hovering over a segment highlights it and shows a tooltip with the specific year and population value, using d3.axisLeft, d3.axisBottom, and d3.scaleBand.

Vvenkataravitarunelisetty@my.unt.edu

83% match

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Question 2 STACKED BAR CHART

This stacked bar chart shows the estimated religious composition of the 20 most populous countries in 2010, with each bar segmented by religion and colored using `scaleOrdinal` and `schemeCategory10`. Hovering over the legend highlights a religion across all countries while fading others, implemented via `colorLegend` and mouse events. The chart uses `flatRollup` and `stack` from D3 to aggregate the CSV data, with `scaleLinear` for population and `scaleBand` for countries, plus the `@curran/responsive-axes` library for axis rendering. Data originates from the Pew Research Center’s Global Religious Landscape.

Nneeleshalapati@gmail.com

83% match

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D3 Example

This interactive stacked bar chart visualizes the distribution of religious populations across different countries, using horizontal bars segmented by religion. The visualization leverages D3.js, with d3.layout.stack to create the stacked segments and d3.scale.ordinal for country positioning. Hovering over a country brings up a tooltip displaying the specific religion and population value, while hovering over the color legend dims unrelated segments. The chart uses an SVG rendering approach with a responsive axis and custom legend, drawing from the included religion survey dataset.

Zzhoufangqin

83% match

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activity 6 task 8

A stacked horizontal bar chart displays population counts for five countries, each bar segmented by religion. The visualization uses D3 v7 with SVG rendering, employing `d3.stack()`, `d3.scaleLinear`, and `d3.scaleBand`. Hovering over a segment triggers a tooltip showing the specific population value for that religion and country. The chart includes a custom legend and axis labels, with data loaded directly from an inline array rather than an external CSV file.

Sskykarthik97@gmail.com

82% match

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activity 6 question 2

This visualization shows religious demographics across the top 20 most populous countries using a horizontal stacked bar chart, where each bar represents total population segmented by religion and color-coded via an ordinal scale. A linked color legend allows users to hover over religion categories, which highlights corresponding bar segments while fading others and raising the hovered stack. The chart is built with d3-scale’s scaleLinear, scaleBand, and scaleOrdinal, uses d3-shape’s stack for stacking, and implements responsive resizing via @curran/responsive-axes. Data comes from a static CSV detailing population counts per country and religion.

RRakesh Yadav

82% match

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D3 Example

This example shows a single stacked bar chart that breaks down the world’s total population by religious affiliation, using one bar per region (here, a single “World” region) with each segment colored by religion. The visualization uses the D3.js library’s `d3.layout.stack` to compute the stacking of values, while `d3.scale.ordinal` and `d3.scale.linear` map categorical regions and numeric populations to screen positions. Axes are rendered with `d3.svg.axis`, and a color legend is added via `d3.legend.color`. Data comes from the bundled CSV file `religionWorldTotals.csv`, which lists population counts for each religion, and the chart is drawn in SVG.

CCurran Kelleher

82% match