UN Population Bar Chart v3

UN Population Bar Chart v2

A horizontal bar chart shows the populations of the ten most populous countries in 2020, based on UN data loaded from a CSV file. Built with React and D3 v7, it uses `d3.csv` to fetch and parse the data, then renders SVG rectangles scaled by `d3.scaleLinear` for population values and `d3.scaleBand` for country categories. The chart fills the browser window and updates after data loads.

96% match

UN Population Bar Chart v4

This bar chart displays the 20 most populous countries in 2020, ranked vertically by country with horizontal bars proportional to population size. The visualization uses React components with D3 v7 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded via D3’s `csv` function from a GitHub-hosted dataset, with axes rendered as custom SVG elements using `AxisBottom` and `AxisLeft`.

94% match

UN Population Bar Chart

This example shows a horizontal bar chart of the top 10 countries by population from the UN’s 2019 dataset. It uses React state to load and store the CSV data, while D3’s `scaleBand`, `scaleLinear`, and `max` utilities compute the bar positions and widths. The SVG bars render across the full window height, sized proportionally to each country’s 2020 population. The code loads the data asynchronously with `d3.csv` and displays a loading message before the chart appears.

SSun Hwy (David) Kim

94% match

UN Population Bar Chart

This visualization displays the top 10 most populous countries in 2020 as horizontal bars, with bar length proportional to population. The React component loads the UN population dataset via d3.csv, then renders an SVG using scaleBand for the categorical country axis and scaleLinear for the population values. The chart fills the entire browser window (width and height set to window dimensions) and updates only after the data loads, initially showing a large “Loading…” message. The code uses React hooks (useState, useEffect) to manage the asynchronous data fetching and D3’s scale functions for mapping data to pixel coordinates.

UN data

This bar chart displays the top ten countries by population in 2020, based on UN population data loaded from a CSV file. The visualization uses React for component structure and D3 v7 for scales, axes, and SVG rendering. The `scaleBand` positions the country labels on the y-axis, while `scaleLinear` maps population values to bar widths, with gridlines and tick labels generated from the x-scale. The data is fetched asynchronously via `csv()` and sorted alphabetically before being rendered as SVG rectangles.

JJosh Zalcman

UN Population Bar Chart v5

This horizontal bar chart displays the 20 most populous countries in 2020, with bars extending left-to-right from a shared baseline. The visualization uses D3 v7’s scaleBand and scaleLinear to map country names to y-axis positions and population values to bar widths, rendered as SVG rectangles in React. The data is loaded from a remote CSV, with tick labels formatted using D3’s format function, converting values to billions. The chart includes styled axes and a population label, with hover tooltips provided by native SVG `<title>` elements.

UN Population Bar Chart Refactored

This example shows a horizontal bar chart of the top 10 most populous UN countries for 2020, with country names labeled on the y-axis and population counts on the x-axis. The visualization is rendered as SVG in a React component, using D3 v6 scales (scaleBand and scaleLinear) to map data, with separate XAxis and YAxis components drawing gridlines and tick labels. Data loads asynchronously from a CSV file via d3.csv in a custom useData hook, and React manages the component lifecycle.

PPadoSensei

UN Pop data basic bar chart top 10

This example displays the top 10 countries by 2020 population from a UN population prospects CSV, rendered as horizontal bars in an SVG. It uses React with D3 v7, loading and slicing the data via `d3.csv`, then mapping it through `scaleBand` for the y-axis and `scaleLinear` for the bar widths. The chart updates responsively, showing each country’s name alongside its population, with the data retrieved from a GitHub gist.

Jjackcaldwellnichols