Rendering Data with React & D3

Rendering data with React and D3

This visualization renders a horizontal bar chart of the top ten countries by 2020 population, using React to create SVG rectangles and D3’s scaleBand and scaleLinear for positioning and sizing. The data loads asynchronously via d3.csv from a GitHub-hosted UN population dataset, with the `+` operator converting string values to numbers. React manages the loading state with a text prompt, then maps the parsed data to `<rect>` elements, demonstrating how D3 utilities handle scales and parsing while React handles component rendering and updates.

PPriteshlip10

Rendering Data with React & D3

This example uses React and D3 to render a horizontal bar chart of the top 10 most populated countries for 2020, sourced from a CSV file of UN population data. It fetches the data with `d3.csv`, scales bars with `d3.scaleBand` and `d3.scaleLinear`, and maps each country to an SVG `<rect>` element via React components. The chart displays population counts as bar widths, with a "Loading..." state shown before data arrives.

GGul Jamal Zim

Rendering Data with React and D3 - Bar Chart

This bar chart displays population data for ten countries, sourced from a UN 2019 dataset loaded via the `d3.csv` function. The chart is built using React components for rendering and D3 v5 scales, including `scaleBand` and `scaleLinear`, to position the SVG rectangles. Axes are generated with custom React components that draw ticks and labels, while D3’s `format` function converts tick values into abbreviated units. The loading state shows a simple "Loading.." message until the data is fetched asynchronously.

FFlorian Kotthoff

Rendering (barchart) data with react and d3

A bar chart displays United Nations population estimates for 2020 across ten countries, using horizontal bars scaled by population size. The visualization loads CSV data via `d3.csv` and manages the asynchronous result with React’s `useState` and `useEffect` hooks. React renders SVG rectangles, while `d3.scaleBand` and `d3.scaleLinear` compute bar positions and widths. The data pipeline converts the population string to a number and filters to the top ten entries before rendering.

AAmine HAMOU

Rendering data with react

A bar chart displays the top 10 countries by 2020 population, loaded from a UN dataset via `d3.csv`. React's `useState` and `useEffect` manage the asynchronous data fetching, while `d3.scaleBand` positions bars on the y-axis and `d3.scaleLinear` maps population values to widths. The SVG rectangles render through React components, with `d3.max` setting the x-domain.

SSreekar Reddy

Rendering Data with React & D3

This example shows a horizontal bar chart of the top 10 countries by projected 2020 population, rendered as SVG. It demonstrates how React state manages the loaded data while D3 utilities compute the scales and ticks. The code uses `d3.csv` to fetch the UN Population 2019 dataset, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the numeric x-axis. React's `useState` and `useEffect` hooks handle the asynchronous data loading and trigger the declarative rendering of bars, axis lines, and labels.

CChristian Potdevin

Rendering Data With React & D3

A horizontal bar chart displays the top ten countries by 2020 population, using a CSV of UN population data loaded with D3's `csv` utility. React manages the application state with `useState` and `useEffect`, rendering SVG `<rect>` elements for each bar. The chart uses `scaleBand` for country categories on the y-axis and `scaleLinear` for population values on the x-axis, with a loading message shown before data arrives.

AAngel Lam

Rendering data with react & d3

A horizontal bar chart displays the 10 most populous countries from the UN Population 2019 dataset, fetched via d3.csv. React manages the component state and rendering, while D3's scaleBand and scaleLinear compute the bar positions and lengths. The visualization uses SVG rectangles, with each bar’s width proportional to the 2020 population estimate.

PPetko4