World Population Prospects 2019(Axles with react and d3)

World Population Prospects 2019

A horizontal bar chart displays the ten most populous countries, using their projected 2020 populations from the World Population Prospects 2019 dataset. The visualization is built with React and D3 v5, rendering SVG rectangles. The code uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with data loaded via D3's `csv` method and processed in a React `useEffect` hook.

94% match

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.

91% match

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.

91% match

United Nations World Population Prospects 2019

This visualization displays the ten most populous countries for 2020, using horizontal bars ranked by population size from the United Nations World Population Prospects 2019 dataset. The chart loads CSV data via `d3.csv`, then renders SVG rectangles with React, scaling bar widths using `d3.scaleLinear` and positioning them vertically with `d3.scaleBand`. Axis ticks and labels are generated from the scales, with population values shown along the bottom. The code demonstrates a React state hook (`useState`, `useEffect`) to asynchronously fetch and slice the data, while D3 utilities handle the layout and formatting.

DDavid

World Population Prospects 2019

This example shows the top 10 countries by population from the World Population Prospects 2019 dataset, displayed as a horizontal bar chart with population values on the x-axis and country names on the y-axis. The visualization uses React with D3 v5, leveraging `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. Data is loaded via `d3.csv` from a GitHub gist, and SVG `rect` elements render each bar with native tooltips using the `title` element. Data formatting converts population figures to billions using D3's `format` function.

UN Population Prospects 2019

A horizontal bar chart displays the ten most populous countries in 2020 based on UN Population Prospects 2019 data. The visualization loads a CSV file via `d3.csv`, parses the population column, and maps country names to a `scaleBand` y-axis while populations drive a `scaleLinear` x-axis. React state manages the asynchronous data loading, and SVG rectangles render the final bars. The chart uses D3 v5 for scales and data parsing, with React components handling the rendering.

Kkosakase

World Population Prospects 2019(styling)

This bar chart shows the top 10 countries by total population for 2020, based on the World Population Prospects 2019 dataset. The visualization uses React and D3 v5, with SVG rectangles to encode population values horizontally. Axes are rendered via the `scaleBand` and `scaleLinear` D3 scales. The `<title>` element provides simple, browser-native tooltips, and the chart uses D3's `format` for tick labels, converting Giga to Billions.

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.