Skip to main content
SimilarExport ZIP
100%

Rendering Data With React & D3

✓ Published1🌍 Public
AAngel Lam
Last edited Mar 15, 2021
Created on Mar 15, 2021

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.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst

MIT Licensed

Similar vizzes

Loading thumbnail…

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
95% match
Loading thumbnail…

Rendering Data with React

This example visualizes the top 10 countries by 2020 population as a horizontal bar chart rendered with SVG. The code loads UN population data from a CSV file using `d3.csv`, processes the rows, and stores the result in React state via the `useState` and `useEffect` hooks. D3’s `scaleBand` and `scaleLinear` position the bars, while React maps the data to `<rect>` elements. A loading message displays until the data arrives, with the chart updating once React state is set.

Bbakstorage00001
95% match
Loading thumbnail…

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
95% match
Loading thumbnail…

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
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Rendering Data with React & D3

A horizontal bar chart displays the top ten countries by 2020 population, loaded from a CSV file and rendered as SVG rectangles. React handles UI state and DOM updates, while D3 utilities (d3.csv, scaleBand, scaleLinear, max) fetch and scale the data. The chart updates asynchronously after the CSV loads, with bars sized proportionally to each country's population value.

JJohn Jeevasaeyan
94% match
Loading thumbnail…

Rendering Data with React & D3 - barchart Basic

This example renders a horizontal bar chart of the top ten countries by 2020 population, sourced from a 2019 UN population CSV. The visualization combines React’s component-based state management with D3’s `csv`, `scaleBand`, and `scaleLinear` functions to map country names and population values to SVG rectangles. The `useState` and `useEffect` hooks asynchronously load and slice the data, while the categorical y-axis and linear x-axis position the bars within a 960-by-500 pixel viewport.

Kkeitheade
94% match
Loading thumbnail…

Rendering Data with React & D3

A horizontal bar chart displays the populations of ten countries for 2020, sourced from UN population data loaded via `d3.csv`. The chart renders as SVG using React components, with a `scaleBand` for the y-axis country names and a `scaleLinear` for the x-axis population values. Bars are generated through the `BarRect` component, each filled with random RGB colors, while custom `AxisBottom` and `AxisTop` components draw tick marks and labels, with population formatted in billions using `d3.format`.

VVipul-Wakodikar
93% match