UN Population Bar Chart v4

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.

96% match

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.

94% match

UN Population Bar Chart v3

This visualization displays the populations of the top ten countries from a UN 2020 dataset as horizontal bars, using a bar chart format. The chart scales population values linearly on the x-axis and country names using a band scale on the y-axis. Built with React and D3 v7, it loads the CSV data via `d3.csv` and renders SVG elements directly, including axis ticks and grid lines. The visualization fills the browser window and updates asynchronously once the data is fetched.

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.

93% match

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 population graph

This visualization displays the top 10 most populous countries using horizontal bars, ordered by country name with population shown on the x-axis in billions. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` with a maximum domain for the numeric x-axis. Data comes from the UN Population 2019 CSV, loaded via `d3.csv`, and rendered as SVG. Axis components and tick marks are generated from `d3.ticks`, formatted with `d3.format`, with tooltips showing exact values via SVG `<title>` elements.

JJulia Hack

UN Population 2019 Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with bar length encoding each country’s 2020 population from the UN World Population Prospects 2019 dataset, though no axes or labels guide interpretation. The React app loads CSV data via `d3.csv`, sorts by population, and renders SVG rectangles using `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population values. The chart updates when data finishes loading, initially showing a loading message.

YYenTingWu

UN Population 2019 Bar Chart

This bar chart displays the ten most populous countries in the UN’s 2019 population estimates, ranking them horizontally by their projected 2020 population in descending order. The visualization uses D3 v5’s `scaleBand` and `scaleLinear` for positioning and scaling bars, with React state managing the data fetched from a CSV. The data is loaded asynchronously via `d3.csv` and rendered as SVG rectangles.

Rrstrauss127