United Nations Bar Chart With React AND D3

United Nations Bar Chart (Axis with React and D3)

This example shows a horizontal bar chart of the top 10 most populous countries in 2019, with countries on the y-axis and population on the x-axis. The React component loads CSV data via `d3.csv`, transforms the population column with a row function, and stores it using `useState` and `useEffect`. Scales from `d3.scaleBand` and `d3.scaleLinear` position the bars, while `xScale.ticks()` generates gridlines and tick labels in the SVG. React renders the rects, lines, and text elements directly, with axes drawn manually rather than through D3 axis helpers.

94% match

United Nations Bar Chart

This example displays a horizontal bar chart of the top 10 most populous countries in 2019 using data from the United Nations. React manages the component state, loading CSV data via d3.csv, while D3’s scaleBand and scaleLinear map country names and population values to screen coordinates. The SVG rectangles are rendered dynamically in a React map function, with bar widths proportional to each country’s estimated 2020 population. The visualization updates once data is fetched, showing a clean, static comparison of national population sizes.

93% match

United Nations Bar Chart with SVG

This example visualizes the top 10 most populous countries in 2020 using a horizontal bar chart rendered with React and D3 v7. It loads UN population data from a CSV file, scales the bars with d3.scaleLinear, and positions country labels using d3.scaleBand. Each bar is annotated with a flag image fetched from an external SVG collection, placed at the end of the bar with xlink:href. Axes and gridlines are generated via d3’s scale.ticks(), and the chart updates asynchronously after data loading.

93% match

United Nations Bar Chart - Refactored

A horizontal bar chart displays the top 10 countries by 2020 population, using United Nations data loaded via D3's `csv` and rendered as SVG through React components. Population values from the CSV are parsed and converted to counts, with a linear scale mapping them to bar widths and a band scale for country positions. The visualization includes formatted axes with tick labels, a population axis label, and tooltips showing abbreviated values via D3's `format`. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) structure the chart, while D3 v7 handles scales, data loading, and formatting.

bar chart with united nations data

This example displays a horizontal bar chart of the top ten most populated countries using 2019 United Nations data loaded from a CSV file. It renders SVG rectangles with React, where the bar widths are scaled by population using d3.scaleLinear and the country names are positioned with d3.scaleBand. The chart uses d3.csv to fetch and parse the data, loading only the first ten rows. While the data is loading, a status message displays the file size, row count, and column count using d3.csvFormat and d3.csv.

EEkuremaro

Rendering Bar Chart with React & D3

This example demonstrates a horizontal bar chart of the top ten most populous countries in 2020, using United Nations population data loaded via `d3.csv`. React manages the component state and renders SVG `<rect>` elements, while D3’s `scaleBand` and `scaleLinear` map country names and population values to pixel positions and widths. The chart updates asynchronously after the CSV fetch completes, showing a loading message until data arrives.

AAndre J Denais

Bar Chart w React and D3

A bar chart displays United Nations population data for the top four countries by 2020 estimates. The graphic uses React’s `useState` and `useEffect` hooks to asynchronously fetch and parse a CSV via `d3.csv`, then renders SVG `<rect>` elements whose widths are scaled by `d3.scaleLinear` and vertical positions by `d3.scaleBand`. The horizontal bars are plotted against a fixed 960×500 viewport, with countries arranged from top to bottom in data order.

EErik

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana