Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Jan 2, 2022

Created on Jan 2, 2022

A horizontal bar chart displays the top 10 most populous countries from the UN World Population Prospects 2019 dataset. The chart renders as an SVG using React components, with each bar’s length proportional to the 2020 population estimate. D3’s `scaleBand` and `scaleLinear` APIs position the categorical country labels and numeric population axis, respectively, while `.ticks()` generates gridlines and tick labels. A loading state is shown from React’s `useEffect` until data is fetched via D3’s `csv` parser.

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…

Fork of Axes with React & D3

A horizontal bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. D3’s `scaleBand`, `scaleLinear`, and `max` are used to compute positions and widths, while React’s `useState` and `useEffect` manage asynchronous CSV loading. The chart renders SVG rect elements for bars and manually constructs axes using `xScale.ticks()` for tick values and SVG line/text elements, with margins shifting the plot via a `<g>` transform.

RReymond Mesuga

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with population values from the United Nations World Population Prospects 2019. The visualization shows a basic bar chart with axes rendered using React and D3 v5. The code uses `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and manually renders axis ticks and labels as SVG elements. React manages the chart's state and rendering, while D3 handles data loading and scaling.

Ddsibi

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries for 2020, with population values from the United Nations World Population Prospects 2019 dataset. The chart includes labeled axes: the y-axis shows country names using a band scale, while the x-axis shows population ticks with grid lines. Built with React hooks and D3 v5, the code uses `scaleBand`, `scaleLinear`, and `csv` to fetch and scale the data. The bars and axes are rendered as SVG elements, with tick generation handled through `xScale.ticks()`.

JJean David

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart labeled with axes. It uses React hooks (useState, useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019, then renders bars via SVG rectangles. D3’s scaleBand and scaleLinear position the bars, while manually generated ticks and labels create the x and y axes without d3.axis. The chart updates after loading, with React managing the component state and D3 handling the data scaling and formatting.

NNick Hu

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The visualization renders as an SVG with both x- and y-axes, where the x-axis uses linear scaling and the y-axis uses band scaling. Built with React and D3 v5, the code employs `scaleLinear`, `scaleBand`, `max`, and `csv` to load and process the data, then manually generates axis ticks and gridlines as SVG elements. React state management handles the asynchronous data loading and conditional rendering.

Ppinlin0816157

97% match

Loading thumbnail…

Fork of Axes with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, using the United Nations World Population Prospects 2019 dataset. The React component manages state and lifecycle while D3’s `scaleBand` and `scaleLinear` handle positioning. Axes are manually constructed with D3’s `ticks()` method, rendering grid lines, tick labels, and country names as SVG elements. The chart includes minimal styling and no axis titles, presenting a raw, functional view of the data distribution.

Eevers-codeshop-ai

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The visualization renders as SVG with React managing the component state and D3’s `scaleBand`, `scaleLinear`, and `max` utilities handling the scales and data transformations. Axes are drawn manually with D3’s tick methods, positioning grid lines and labels. The bars use the `rect` SVG element, with each bar’s width proportional to the country’s 2020 population.

EEbdulmomen Ahmed

96% match

Loading thumbnail…

Fork of Axes with React & D3

This visualization presents the top 10 most populous countries from the UN World Population Prospects 2019 dataset as horizontal bars. React manages the application state and renders the SVG, while D3.js computes the scales and axes. The code uses `d3.csv`, `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and draws tick lines and country labels with explicit margins.

Cchar0496

96% match