Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Aug 9, 2024

Created on Aug 9, 2024

This example renders a horizontal bar chart of the top 10 most populous countries using React and D3. The chart displays a bar for each country’s 2020 population from the United Nations World Population Prospects 2019 dataset, retrieved via `d3.csv`. It manually constructs axes without D3’s axis components, using `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and generating tick lines and text labels from `xScale.ticks()`. The visualization is rendered as SVG with React state management and `useEffect` for data loading.

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, 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

96% 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

96% 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

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example renders the top 10 most populous countries as a horizontal bar chart using React and D3 v5. The bars and manually constructed axes are drawn as SVG elements inside a React component, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Tick marks and labels are generated by iterating over the scales' domains, and the data comes from the United Nations World Population Prospects 2019 CSV. The chart displays population values for 2020, with no axes library used, only custom rendering.

Jjth500

96% 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

96% 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

95% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using React for the user interface and D3 v5 for the underlying data handling and SVG rendering. It loads the dataset from a remote CSV file, parses the 2020 population column, and maps each country name to a categorical y-scale while scaling the bar widths with a linear x-scale. The chart includes axis ticks and labels generated via D3’s `scaleBand`, `scaleLinear`, and `max` functions, with React components constructing the SVG elements.

KK V VINITHA

95% 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

95% match