Refactored Bar Chart

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, 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 population data for the top ten countries, with a linear scale for population and a band scale for country names. It is built with React, D3 v7, and SVG, using custom components for the axes and bars. The data is loaded from a CSV file via D3's `csv` function, and the chart is rendered declaratively by mapping the dataset to SVG `rect` and `text` elements.

JJenna Hamza

Refactored Bar Chart

A bar chart displays the 2020 populations of ten countries using D3.js v7 scales, with country names on the y-axis and population magnitudes on the x-axis. React components—AxisBottom, AxisLeft, and Marks—render the SVG axes and horizontal rectangles. The data loads from a CSV via `useData` and `d3.csv`, while `scaleBand` and `scaleLinear` map values to pixel coordinates.

GGonzalo Alarcón Usui

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

MMilena Belianovich Holtman

Refactored Bar Chart

This example shows a horizontal bar chart comparing the populations of ten countries, represented as SVG rectangles encoded by length along the x-axis. The chart’s axes are composed from React components (AxisBottom, AxisLeft, Marks) that render D3 scales (scaleBand, scaleLinear) and ticks. Data is loaded asynchronously from a CSV using D3’s `csv` function and `useData` hook, while the y-axis labels use the band scale’s domain and bandwidth.

Refactored Bar Chart

A horizontal bar chart displays population data for ten countries in 2020, loaded from a CSV file hosted on GitHub. The React app uses a custom hook with `d3.csv` to fetch and parse the data, storing it in state. SVG rendering builds the visualization from reusable components: `AxisBottom` creates the linear population scale, `AxisLeft` labels the categorical country bands, and `Marks` draws rectangles using `scaleBand` and `scaleLinear`. The chart updates upon data loading.

Bbakstorage00001

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