World Population Dynamics

World Population Visualization

This example presents a horizontal bar chart of the top 10 countries by 2020 population, using data from the UN Population 2019 CSV. The visualization shows the relative population sizes with labeled axes and gridlines. Built with React and D3 v7, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG `rect` elements for rendering. Data is loaded asynchronously via D3’s `csv` function before being displayed.

OOm Kakatkar

World population

This bar chart displays the projected 2020 populations of the top 10 countries, using horizontal bars sorted by country name. The visualization, built with React and D3 v5, loads CSV data via the `d3.csv` utility and renders SVG rectangles. A linear scale maps population values to bar widths, while a band scale positions countries vertically. The x-axis uses a custom formatter to abbreviate large numbers, converting gigabytes to billions and trimming trailing zeros.

HHarabi Adem

Responsive Stacked Bar Chart

This responsive stacked bar chart visualizes population projections across multiple years (1980–2050) for various countries. The SVG chart fills the entire viewport, with axes for countries and population values, and each bar segment represents a distinct time period. Built with D3 v6, it uses `d3.scaleBand`, `d3.scaleLinear`, `d3.stack`, and `d3.schemeCategory10` to compose the stacked bars, while `d3.csv` loads data from a remote JSON file. Hovering highlights bars in orange, and a tooltip displays details.

AAbdul Kareem

World Population Prospects 2019(Refactoring)

This example shows the projected populations of the top 10 countries in 2020, displayed as horizontal bars ordered by country name. It uses React with D3 v5 to create an SVG visualization, with `scaleBand` and `scaleLinear` mapping the data to positions and sizes. The CSV data comes from the World Population Prospects 2019 dataset. Axis components and marks are separated into React modules, and the chart updates by filtering the first 10 rows from the loaded data.

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Responsive Stacked Bar Chart

This responsive stacked bar chart visualizes population projections for multiple countries across seven time points from 1980 to 2050. Using D3 v6, the chart employs `d3.stack()` with `d3.scaleBand` and `d3.scaleLinear` to create the stacked bars, rendered as SVG rectangles. The data comes from a CSV file hosted on GitHub. Bar segments change color on hover to orange, and a tooltip displays the population value for each country and time period. The chart fills the entire viewport by setting its width and height to match `window.innerWidth` and `window.innerHeight`, with axes that rotate their labels for readability.

AAbdul Kareem

Fork of World Population Prospects 2019

A horizontal bar chart displays the top ten countries by projected population for 2020, sourced from the World Population Prospects 2019 dataset. The visualization uses React with D3 v5, employing `scaleBand` for the categorical country axis, `scaleLinear` for the numeric population axis, and rendering SVG rectangles with hover tooltips. Population values are formatted in billions using D3’s `format` function, while axis ticks and labels are generated via reusable components.

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World Population Prospects Visualisation

This example shows a horizontal bar chart of the top ten countries by population in 2020. It loads UN population data via `d3.csv`, transforms the numeric population column, and sorts by filtering the first ten rows. The visualization uses React with `useState` and `useEffect` to fetch data asynchronously, while D3's `scaleBand` and `scaleLinear` map country names and population values to SVG rectangles. The chart renders as a clean, unlabeled bar list against a white background using ReactDOM.

Aazharahmad0

Fork of World Population Prospects 2019

A horizontal bar chart displays the top 10 countries by population in 2020, with each bar sized proportionally to population and labeled by country name. The chart uses React for the component structure and D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, rendering bars as SVG `<rect>` elements. Data comes from the World Population Prospects 2019 CSV file, fetched with D3’s `csv` method, and the visualization updates after loading.

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