Axes with React & D3

100%

Axes with React & D3

✓ Published0🌍 Public

Last edited Jan 24, 2022

Created on Jan 24, 2022

This example uses D3 and React to render a horizontal bar chart of the ten most populous countries from the United Nations World Population Prospects 2019 dataset. It displays population values for 2020 with x-axis tick marks generated via `xScale.ticks()` and country labels positioned using a band scale. The chart includes only these axes and bars—no gridlines or margins beyond the SVG viewport. The code loads data with `d3.csv` and uses `scaleBand` and `scaleLinear` for layout.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using React with D3 to render SVG axes and bars. The chart reads population data from a CSV file sourced from the United Nations World Population Prospects 2019, and uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. Axes are manually constructed by iterating over `xScale.ticks()` and the y-scale domain, drawing lines and text elements. React manages the component state and lifecycle, while D3 performs data loading and scaling.

FFinn Pauls

96% match

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, with countries listed on the y-axis and population totals on the x-axis. It combines React state management with D3 utilities, using `d3.csv` to load data and `scaleBand`, `scaleLinear`, and `max` to compute positions and scales. React renders the SVG elements, while D3 generates the tick marks and grid lines for both axes. The source data comes from a UN population dataset hosted as a CSV file.

SSabin Bhandari

95% match

Loading thumbnail…

Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for scales and rendering. The code explicitly builds x-axis ticks with `xScale.ticks()` and y-axis labels from the scale’s domain, drawing SVG lines and text elements. It loads data from the United Nations World Population Prospects 2019 via `d3.csv`, applies a linear scale for population and a band scale for countries, and renders the chart as SVG within a React component.

YYibo Zhang

95% match

Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, with axes rendered manually using React components. The code loads UN population data via `d3.csv`, maps it with a custom row function, and uses `scaleBand` for the y-axis (countries) and `scaleLinear` for the x-axis (population). Tick marks and labels are generated with `xScale.ticks()`, while bars are drawn as SVG `<rect>` elements. The chart updates reactively through `useState` and `useEffect` hooks, with D3 v7 providing scales and data parsing.

JJun Suzuki

95% match

Loading thumbnail…

Axes with React & D3

A horizontal bar chart displays population estimates for the ten most populous countries in 2020. The example combines React with D3 utilities, using `d3.csv` to load United Nations population data and `scaleLinear` and `scaleBand` to compute positions. React renders the SVG elements, including axis ticks generated via `xScale.ticks()`, while D3’s `max` determines the domain. The chart includes both numeric x-axis gridlines and country labels for the y-axis.

OOlof Ollerstam

95% match

Loading thumbnail…

Axes with React and D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using React to render SVG elements while D3 provides scales and data loading. It uses `d3.csv`, `scaleBand`, `scaleLinear`, and `max` to process the UN Population 2019 dataset and compute the chart layout. Ticks from the x-axis are drawn manually with lines and text, while y-axis labels and rectangles are mapped directly from React state.

MMichael Bergerson

95% match

Loading thumbnail…

Axes with React and D3

This example shows a horizontal bar chart ranking the ten most populous countries using 2020 data from the United Nations World Population Prospects 2019. React manages the component state and lifecycle, fetching the CSV with d3.csv and storing the parsed data via useState. D3 scales, including scaleBand and scaleLinear, position the bars and axes, while the SVG rendering manually draws tick marks, labels, and rectangles rather than using d3.axis.

Ttorstenaan

95% match

Loading thumbnail…

Axes with React & D3

A horizontal bar chart displays the ten most populous countries from the 2020 UN Population dataset, loaded via `d3.csv`. The React component manages the fetched data with `useState` and `useEffect`, then renders SVG bars sized by `scaleLinear` and positioned by `scaleBand`. Axis ticks are generated manually by mapping over `xScale.ticks()` and `yScale.domain()`, with labels and lines drawn as React elements, demonstrating D3 scales and the React-D3 integration pattern.

JJanet Li

95% match