World Population Prospects 2019

World Population Prospects 2019(Axles with react and d3)

A vertical bar chart displays the ten most populous countries in 2020, using population data from World Population Prospects 2019. Built with React and D3 v5, the chart renders SVG rectangles scaled by a linear population axis, with a band scale for country labels and tick marks from `scaleLinear`. The code loads the CSV via `d3.csv`, converts the 2020 column to numbers, and uses React hooks to manage state and fetch data asynchronously.

94% match

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.

94% match

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.

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.

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.

World Population Prospects 2019(margin convention)

This example shows a horizontal bar chart of the top 10 countries by projected 2020 population, drawn from the World Population Prospects 2019 dataset. The visualization displays each country's population as a bar’s length, sorted by value, with a fixed margin convention of 30 pixels on all sides. The code uses React for the interface and D3 v5’s `scaleBand`, `scaleLinear`, and `max` functions to map country names and population values to screen coordinates, rendering the bars as SVG `rect` elements.

92% match