Fork of Fork of Fork of Fork 999 of Stylized Bar Chart

Fork of Fork of Fork 999 of Stylized Bar Chart

This fork of a stylized bar chart visualizes the top 10 most populous countries, with a second dataset representing migrants. It uses React and D3 v5 via `scaleBand` and `scaleLinear` to map country names and migrant values to SVG rectangles, with custom axes for tick labels. The horizontal bars display data from the United Nations World Population Prospects 2019, loaded through D3’s `csv` function.

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working Fork of Fork of Fork of Fork of Fork 999 of Stylized Bar Chart

This bar chart visualizes the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, displaying each country's migrant population. Using React and D3 v5, the visualization employs `scaleBand` and `scaleLinear` for axes, with SVG rendering through custom components for axes and rectangular marks. The chart uses a Poppins font with a teal color scheme and includes formatted tooltips for data inspection.

95% match

Fork of Fork 999 of Stylized Bar Chart

A horizontal stylized bar chart depicts the top 10 most populous countries, with bar lengths representing each country's migrant population in millions. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear handling the x and y position scales. Data comes from a CSV file loaded via d3.csv, and the y-axis labels are formatted using d3.format with 'G' replaced by 'B'.

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Forked Stylized Bar Chart !

This stylized bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The visualization uses D3 v5 scales and React to render an SVG, with axis components built from `scaleBand` and `scaleLinear`. The chart intentionally omits axes, instead showing only horizontal bars with tooltips that format population values using D3's `format` function. The code loads CSV data via `d3.csv`, slices it to ten rows, and renders the bars with a Poppins font and custom color scheme.

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94% match

Fork 999 of Stylized Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the y-axis and population values on the x-axis. The chart uses a teal color for the bars, gray for the axes and labels, and the Poppins font, with a hover tooltip showing the exact population format. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` to map data from the UN World Population Prospects 2019, loaded via `csv`. The SVG rendering separates axes and marks into modular components for clarity.

Fork of working Fork of Fork of Fork of Fork of Fork 999 of Stylized Bar Chart

This fork of a stylized bar chart displays the top 10 most populous countries. Built with React and D3 v5, the visualization uses `scaleBand` for the x-axis and `scaleLinear` for the y-axis, with SVG rectangles for bars. The data comes from the United Nations World Population Prospects 2019. The code includes commented-out attempts at rotating axis labels and adjusting bar heights, reflecting an iterative development process. The y-axis uses a custom tick format converting G to B for billions.

Fork of Stylized Bar Chart

This bar chart visualizes the top 10 most populous countries using data from the United Nations World Population Prospects 2019. It uses React with D3 v5 to construct the SVG, with `scaleBand` for the categorical y-axis and `scaleLinear` for the numerical x-axis. The chart renders horizontal bars with a teal fill, Poppins font, and custom axes from `AxisBottom` and `AxisLeft`, with CSV data fetched via D3's `csv` helper. A tooltip displays the formatted population value using D3's `format` function.

CClara Hu

Fork of Fork of Fork of Fork of Stylized Bar Chart

This interactive bar chart displays the top 10 most populous countries in 2020, using data from the United Nations World Population Prospects 2019. Built with React and D3 v5, it renders an SVG with horizontal bars, axes, and tooltips. The y-axis uses a band scale for categorical country names, while the x-axis applies a linear scale with SI-formatted tick labels (e.g., “1.4B”). The code splits visualization logic across separate components for axes and marks, loading CSV data via the `useData` hook and `d3.csv`.

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