Refactored Bar Chart

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 countries by population for 2020, rendered as SVG via React components. It loads CSV data from a GitHub-hosted file using D3’s `csv` utility, then defines separate axis and mark components (`AxisBottom`, `AxisLeft`, `Marks`) that leverage D3’s `scaleBand` and `scaleLinear` for positioning. The chart uses React’s state and `useData` hook to fetch and transform the data, displaying a loading message until the data arrives.

CCHOI SEUNG HYUN

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 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 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 visualizes the top 10 countries by population in 2020 using a horizontal bar chart. The chart displays a linear x-axis for population values and a categorical band scale for country names, with bars rendered as SVG rectangles. Built with React and D3 v6, the code separates concerns into reusable components for axes and marks, and loads data from a CSV file using the `csv` function. The scaleLinear and scaleBand APIs handle the mapping, while React hooks manage the asynchronous data fetching.

Fforcox43

Refactored Bar Chart

This horizontal bar chart displays the population of the top 10 countries in 2020, with country names on the y-axis and population values on the x-axis. Built with React and D3 v7, it uses `scaleBand` and `scaleLinear` to map data to SVG coordinates. The chart is separated into modular components—`AxisBottom`, `AxisLeft`, and `Marks`—each rendering SVG elements like lines and text. Data is loaded asynchronously from a CSV file via `d3.csv`, and all visual elements are rendered declaratively with React's SVG output.

KKevin McMorrow

Refactored Bar Chart

This example presents a horizontal bar chart that ranks the top ten countries by their 2020 population. It demonstrates how D3’s scale functions and React state can be combined to build a clean, interactive visualization. The chart uses a band scale for the categorical y-axis and a linear scale for the continuous x-axis. Axis tick marks and labels are generated with custom React components, while bars are drawn as SVG rectangles. Data is loaded from a remote CSV file using the D3 `csv` method and managed through React’s `useState` and `useEffect` hooks.

Sstephanie0215

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