React

react bar chart

This example shows a horizontal bar chart that displays the 2020 population estimates for the top 10 countries, sourced from a UN Population CSV file. The chart uses D3 scales (`scaleBand` and `scaleLinear`) to map country names to vertical positions and population values to bar widths. React components compose the visual elements, rendering an SVG with axes, bars, and tooltips. The X-axis formats tick labels using D3’s `format('.2s')`, converting values like billions, while the Y-axis labels are placed using the band scale’s midpoint.

SSuperShreejit

React D3 Axes

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as a horizontal bar chart, using React for component structure and d3.scaleBand, d3.scaleLinear, and d3.max for scaling. The SVG rendering includes manually constructed axes, with x-axis ticks generated via xScale.ticks() and y-axis labels positioned using scaleBand's bandwidth. The code loads CSV data via d3.csv in a useEffect hook and renders rectangles for each bar.

Ttrissentety

Axes with React & D3

A React and D3 bar chart displays the top 10 most populous countries using UN population data from 2019, with bars representing 2020 projections. The visualization includes custom axes built manually through React components, using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. D3's `csv` loader fetches the dataset, while tick marks are generated via `xScale.ticks()`. The SVG rendering maps each country's population to bar widths, with axis labels positioned using React's JSX syntax.

TThiago Sawada

Bar Chart - React, D3

A bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population. The visualization is built with React components and D3 scales (`scaleBand`, `scaleLinear`), rendering SVG rectangles for marks and custom axis components. D3’s `csv` loader fetches United Nations World Population Prospects 2019 data, with population formatted in billions. Tooltips show exact values via SVG `<title>` elements, while axes and labels are styled with CSS.

NNelson M

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR

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.

RRichardPearce60

Bar Chart with react and d3

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, with a horizontal layout and axes for comparison. The visualization is built with React and D3 v5, rendering SVG elements via React components. It uses `scaleBand` for the categorical country axis and `scaleLinear` for the population scale, with formatted tick labels converting billions to “B” notation. The chart includes a bottom axis and left labels, styled with the Nunito font, and omits gridlines beyond the axis ticks.

MMohammed Banani | MbDev

Axes With React & D3

This bar chart displays the top 10 countries by 2020 population, with horizontal bars ranked vertically. The visualization uses React for component structure and state management, while D3’s `csv` loads and parses the UN population data, and `scaleLinear` and `scaleBand` map values to pixel positions. SVG elements—including `rect` bars and axis ticks—are rendered directly by React, with D3’s `max` and `ticks` methods driving the axis generation. The chart adapts to the browser window size and includes labeled axes.

BbeauMarko