Skip to main content
SimilarExport ZIP
100%

Rendering Data with React & D3

✓ Published0🌍 Public
LLicheng Zhang
Last edited May 25, 2021
Created on May 23, 2021
Forked from Mouse Follower

This example shows the ten most populous countries from a 2019 UN population dataset, rendered as horizontal bars in an SVG chart. React 16 manages the component state and loading screen, while D3 v6 utilities (`csv`, `scaleBand`, `scaleLinear`, `max`) handle data fetching and scaling. The code converts each country’s 2020 population value to a numeric field and maps it to a bar width using a linear scale, with bands for each country name.

AI-generated description

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

MIT Licensed

Similar vizzes

Loading thumbnail…

Rendering data with React & D3

A horizontal bar chart displays the ten most populous countries in 2020, using United Nations population data loaded via `d3.csv`. React manages the component state, while D3 scales (`scaleLinear` and `scaleBand`) map population values to rectangle widths and country names to vertical positions. The SVG bars are rendered as React elements inside a `<svg>` container, with D3's `max` function determining the domain for the linear scale.

MMadalina Harii
94% 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

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
94% match
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
94% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Rendering Data with React & D3

An interactive bar chart displays the top 10 most populous countries in 2020, sourced from UN population data. It uses React to render SVG elements declaratively, with D3's scaleBand and scaleLinear for axis mappings. Custom React components (AxisBottom, AxisLeft, Marks) handle ticks and rectangles, while D3's csv loader fetches and parses the data.

TThe4star
94% 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
93% match
Loading thumbnail…

Rendering Data with React

This example shows a bar chart of the top 10 countries by 2020 population, rendered as SVG rectangles using React. The code loads UN population data from a CSV file via d3.csv, then uses d3.scaleBand and d3.scaleLinear to map country names and population values to screen coordinates. React state management with useEffect and useState handles the asynchronous data loading and updates the visualization when data arrives. The chart is built entirely with React components and D3 scales, demonstrating a hybrid approach where React manages the DOM and D3 handles data processing and scaling.

Ccheruvatheryvishnu@gmail.com
93% match