Refactored Bar Chart

Refactored Bar Chart

This example displays a horizontal bar chart of the top ten countries by population in 2021, using a linear scale for bar lengths and a band scale for row positions. It loads data from a CSV file via D3’s `csv` utility, then renders SVG rectangles and custom axis components built with React. The `AxisBottom` and `AxisLeft` components create tick marks and labels, while the `Marks` component maps each data row to a `rect` element. React’s state management, via `useState` and `useEffect`, handles asynchronous data loading.

TTakashi-KK

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 countries by 2020 population, with the y-axis listing country names and the x-axis displaying population values. It loads data from a CSV file using `d3.csv` within a React hook (`useData`). The visualization uses `d3.scaleBand` and `d3.scaleLinear` to map data to SVG rectangles, with axes and marks extracted into reusable React components (`AxisBottom`, `AxisLeft`, `Marks`). React renders the SVG, and D3 v6 handles the data loading and scaling.

SSabin Bhandari

Refactored Bar Chart

This example presents a bar chart of population data for the top ten countries in 2020, sourced from a CSV file via a custom React hook that uses D3’s `csv` utility. The visualization is rendered as SVG, with React components for the axes (`AxisBottom`, `AxisLeft`) and bars (`Marks`), using D3 scales (`scaleBand`, `scaleLinear`) to map country names and population values to pixel coordinates. The chart loads asynchronously and displays a placeholder while fetching data.

AAlex Gomes

Refactored Bar Chart

This example shows a horizontal bar chart of the top ten countries by population in 2020, fetched from a CSV file via `d3.csv` and rendered as SVG using React. The chart employs `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. A bottom axis renders grid lines and tick labels, while a left axis displays country names. Refactored into separate components (`AxisBottom`, `AxisLeft`, `Marks`), it demonstrates a modular approach to building interactive data visualizations with React and D3 v5.

Nnpelliccia

Refactored Bar Chart

This example displays a horizontal bar chart of the 2020 populations for the top ten countries, sorted by descending value. Built with React and rendered as SVG, it uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The custom `AxisBottom`, `AxisLeft`, and `Marks` components draw tick lines, labels, and rectangle bars by mapping data attributes to spatial scales. Population data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file.

JJun Suzuki

Refactored bar chart

This example shows a horizontal bar chart of the top 10 countries by population for 2020, with bars extending from a shared baseline and labeled axes. It is built as a React application that uses D3 v7’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The chart is rendered as SVG, with axes and marks split into reusable components (`AxisBottom`, `AxisLeft`, `Marks`), and data is loaded asynchronously from a CSV via `d3.csv`.

Gguptambergatech

Refactored Bar chart

This example shows a horizontal bar chart of the top 10 countries by population for 2020, with countries listed along the y-axis and population values along the x-axis. The visualization uses React to render SVG elements, with D3 v6 providing scales and data loading. The code imports `csv` to fetch population data from a GitHub-hosted CSV file, `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, and `max` to determine the x-axis domain. Axis components and bar marks are defined as individual React components for modularity.

BbeauMarko

Refactored Bar chart

This example shows a horizontal bar chart displaying the top 10 most populous countries in 2020, using data loaded from a CSV file via D3’s `csv` utility. The bars render as SVG rectangles, with a yellow circular background and black stroke. React manages the component structure, while D3’s `scaleBand` and `scaleLinear` handle the axis positioning. Custom React components like `AxisBottom`, `AxisLeft`, and `Marks` encapsulate the chart’s parts, and the axes are generated by mapping over tick values from the scales.

Cchrismeeky