Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Dec 25, 2020

Created on Dec 25, 2020

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.

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

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 an SVG and combines React for component management with D3’s `scaleBand` and `scaleLinear` for axes and bars, while D3’s `csv` fetches the data. Axes are drawn manually with SVG elements, populating ticks and labels through D3’s scale methods, all within a React app that loads data asynchronously.

SShengjie Yang

98% 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 dataset loaded via `d3.csv`. The visualization uses React components for rendering SVG elements, with D3 scales and formatting applied through `scaleBand`, `scaleLinear`, and `format`. Bottom and left axes are constructed as separate React components, and each bar includes a native SVG `<title>` element for tooltips. The chart is styled with custom tick and mark colors.

DDaniel Tkach

98% match

Loading thumbnail…

Fork of Axes with React & D3

This example uses React with D3 to render a horizontal bar chart of the top 10 most populous countries, based on United Nations World Population Prospects 2019 data. The visualization shows the population values as bars with x and y axes, where the x-axis displays tick marks generated by `d3.scaleLinear` and the y-axis lists country names using `d3.scaleBand`. The chart is drawn as an SVG within a React component, utilizing `useState` and `useEffect` to fetch and process the CSV data via `d3.csv`.

Mmuwu16

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for data loading and scales. The chart displays population values from the United Nations World Population Prospects 2019 dataset on the x-axis, while country names appear on the y-axis. The code uses D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions to process data and position bars, with tick marks and labels generated manually via `xScale.ticks()`. All elements are rendered as SVG through React’s declarative JSX, with margins applied via a transform group.

Mmedi11

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 a y-axis showing country names and an x-axis with tick marks and labels. The chart is built using React and D3 v5, with data loaded from the United Nations World Population Prospects 2019 dataset via `d3.csv`. React components render SVG elements for bars and axes, while D3’s `scaleBand` and `scaleLinear` handle the positioning and scaling of the visual encodings.

Kkan qiu

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 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

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example shows the top 10 most populous countries as a horizontal bar chart. The visualization uses React for component structure and D3 v5 for data loading and scales, with axis marks and tick labels rendered manually. Data comes from the United Nations World Population Prospects 2019, loaded via d3.csv. The chart displays country names on the y-axis and population values on the x-axis, using d3.scaleBand and d3.scaleLinear to position bars and ticks.

GGustavo

97% match