Making a Bar Chart with React & D3

Making a Bar Chart with React & D3

This example demonstrates a bar chart visualizing the top 10 most populous countries from a 2019 UN population dataset. The chart uses React state to manage the fetched CSV data and renders an SVG visualization via D3 scales, including labeled tick marks for both axes. The code leverages `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear` for data loading and positioning, while React's `useState` and `useEffect` hooks handle data retrieval and conditional rendering. The bars are drawn as SVG rectangles sized proportionally to population values.

MMinh Luong

Making a Bar Chart with React & D3

This example shows a horizontal bar chart of the top ten countries by 2020 population, rendered as SVG with React. The code loads UN population data from a CSV file using `d3.csv` and transforms each row by parsing the “2020” field. React’s `useState` and `useEffect` manage data loading, while D3 scales `scaleLinear` and `scaleBand` map population values and country names to pixel positions. Each bar is a `<rect>` element generated by mapping over the data array inside a React component.

Jjwlam83

Making a Bar Chart with React & D3

This visualization displays the top 10 countries by 2020 population as horizontal bars, with the bar lengths proportional to population values. The React component fetches CSV data from a GitHub-hosted UN Population dataset using D3's `csv` utility. React's `useState` and `useEffect` hooks manage the asynchronous data loading, while D3's `scaleBand` and `scaleLinear` map countries to y-coordinates and populations to bar widths, respectively. Each `<rect>` element renders directly into an SVG canvas via ReactDOM.

CCHOI SEUNG HYUN

Making a Bar Chart with React & D3

This example demonstrates how to build a bar chart by combining React's component model with D3's scaling and data processing utilities. The chart displays the top 10 most populous countries for 2020, sourced from a CSV file of UN population data, with each bar's height determined by the country's population value. The code uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the quantitative x-axis, and React's `useState` and `useEffect` hooks to asynchronously load and process the data. The visualization is rendered as an SVG with simple `rect` elements.

ZZoe Ferencova

Making a Bar Chart in React & D3

This example shows a horizontal bar chart of the top 10 most populous countries for 2020, using a dataset from the UN Population 2019 CSV loaded via `d3.csv`. React’s `useState` and `useEffect` hooks manage the asynchronous data fetch and re-render the bars once loaded. D3’s `scaleBand` and `scaleLinear` map country names and population values to SVG `rect` coordinates and widths, with each bar’s height derived from `yScale.bandwidth()`. The chart renders purely as SVG inside a React component.

CChaz

Making a Bar Chart with React & D3

This example shows a horizontal bar chart of UN population data for the top 10 countries, rendered as SVG rectangles with randomly assigned colors. The React component uses the `useState` and `useEffect` hooks to load and store data fetched via `d3.csv`, while `d3.scaleBand` and `d3.scaleLinear` map countries and population values to screen coordinates. The chart displays loading text before the data arrives, then maps each row to a `<rect>` element with dimensions derived from the scales.

PPhronesis

Visualizing Data with React and D3 - Bar Chart

This bar chart visualizes the top 10 countries by population for 2020, using data from a UN Population CSV file. It combines React with D3, where React manages the component state and rendering of SVG elements, while D3’s `scaleBand`, `scaleLinear`, and `max` functions handle the chart’s scaling and domain calculations. The chart displays horizontal bars representing each country’s population, with the bar width proportional to the population value. Data is loaded asynchronously via `d3.csv` and statefully updated using React hooks.

Ddmagarian

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana