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.

91% 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.

90% match

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.

90% 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.

United Nations Population Bar Chart

This example displays the 2020 population estimates for countries from the United Nations’ 2019 dataset as a horizontal bar chart. React renders SVG rectangles, with D3’s `scaleBand` positioning each country along the y-axis and `scaleLinear` mapping population counts to bar widths. The visualization loads CSV data via `d3.csv` and updates once the data arrives, showing a “Loading…” state beforehand.

Iikerson

Refactored Bar Chart

This example shows a horizontal bar chart of population data for ten countries, using the United Nations 2019 population estimates. The chart displays the bars across a linear scale, with categorical country labels on the left axis and numeric tick marks on the bottom axis. Built with React and D3 v5, the visualization uses d3.csv to load and parse the data, d3.scaleBand for the y-axis, and d3.scaleLinear for the x-axis, rendering all marks as SVG rectangles. The code separates concerns into reusable components for the axes and marks.

Mmscoop16

United Nations Bar Chart With React AND D3

This example displays the top 10 countries by United Nations population estimates for 2020 as horizontal bars, using React to render SVG rectangles and D3 scales for layout. It loads data from a CSV file via `d3.csv`, parses the population column, and maps countries to a `scaleBand` y-axis and populations to a `scaleLinear` x-axis. React’s `useState` and `useEffect` manage the asynchronous data fetching, while `ReactDOM.render` mounts the visualization. The chart updates when data arrives, though it does not include axes or labels.

LLeandro Da Souza