A program that creates a bar chart based on estimated UN Population levels in 2020.

Bar Chart w/ D3 And React

This example displays a horizontal bar chart of the ten most populous countries for 2020, using data from a UN Population CSV loaded via `d3.csv`. The React component manages the data with `useState` and `useEffect`, while D3’s `scaleBand` and `scaleLinear` compute the bar positions and widths. Each bar is rendered as an SVG `rect` element, with the chart sized at 960 by 500 pixels.

AAndres de la Garza

Making a Bar Chart with React & D3 (Tutorial 21)

This example shows a horizontal bar chart of the estimated 2020 populations for the top ten countries, sourced from a UN population CSV file. Built with React and D3 v5, it renders as an SVG, using `d3.scaleBand` and `d3.scaleLinear` to map country names and population values to rectangular coordinates. The chart uses the `d3.max` function to determine the scale domain and React’s `useState` and `useEffect` hooks to asynchronously load and slice the data for display.

TTom-S82

Bar Chart with React & D3

This visualization displays the ten most populous countries in 2020 as a horizontal bar chart, where bar length encodes population size. The code uses React hooks (useState, useEffect, useCallback) to manage asynchronous data loading via d3.csv, which fetches UN population data from a GitHub gist. D3 scales (scaleBand for countries, scaleLinear for population totals) position the SVG rectangles rendered as React components. While the HTML loads React and D3 from CDNs, the visible chart omits axes, labels, and color, showing only raw bars against a white background.

SSarah Elkeurti

Bar Chart - React & D3 (Part 24) - Stylised

This interactive bar chart displays the top countries by estimated UN population for a selected year, with the number of countries adjustable via dropdowns. The bars are color-coded by continent and stylized with gradient fills and drop shadows. The visualization uses React for state management and component rendering, while D3 v5 handles data loading (via `csv`), scaling (`scaleBand`, `scaleLinear`), and axis generation. Population values are loaded from a CSV file and formatted using D3’s `format` function.

TTom-S82

Bar Chart v1 w/ React & D3

This visualization displays a bar chart of the top 10 most populous countries in 2020, using data from the UN Population dataset. Bars extend horizontally from the left, with each bar's length proportional to the country's population, and countries labeled along the vertical axis. The example integrates React 16.9.0 for the user interface and declarative rendering, while D3 v5.11.0 utilities (`csv`, `scaleBand`, `scaleLinear`, `max`) fetch the CSV data and compute the scales. Both libraries—React for component structure and D3 for data processing—output an SVG graphic.

SSophia Cofone

Bar

This example renders a bar chart showing the populations of the ten most populous countries in 2020, based on UN population data loaded via `d3.csv`. The visualization uses React to manage state and render SVG `<rect>` elements, with `d3.scaleBand` mapping country names to vertical bands and `d3.scaleLinear` mapping population values to bar widths. The code specifically imports and uses `csv`, `scaleBand`, `scaleLinear`, and `max` from D3 v5, while React handles the declarative component structure and the `useState`/`useEffect` hooks for data fetching.

EEugenio2192

Bar Chart With D3

This example shows a horizontal bar chart of the top ten most populous countries in 2020, using UN population data loaded from a CSV file. React state manages the fetched data, while D3’s `scaleBand` and `scaleLinear` map country names and population values to SVG rectangles. The bars render from left to right, with no axes or labels. The code uses `d3.csv` for data loading and React functional components with the `useState` and `useEffect` hooks to trigger and store the asynchronous data fetch.

Ffjvoris

Bar Chart - React, D3

A bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population. The visualization is built with React components and D3 scales (`scaleBand`, `scaleLinear`), rendering SVG rectangles for marks and custom axis components. D3’s `csv` loader fetches United Nations World Population Prospects 2019 data, with population formatted in billions. Tooltips show exact values via SVG `<title>` elements, while axes and labels are styled with CSS.

NNelson M