Skip to main content
SimilarExport ZIP
100%

Fork of Rendering Data with React & D3

✓ Published0🌍 Public
DDeaxNG
Last edited Dec 3, 2021
Created on Dec 3, 2021

This example renders a horizontal bar chart of UN population data for 2020 using React and D3 v5. It loads the CSV file with `d3.csv`, parses the population column, and stores the result in React state via the `useState` and `useEffect` hooks. The visualization uses `scaleBand` and `scaleLinear` to map countries and populations to SVG `rect` elements, with React’s declarative rendering driving the SVG output. While loading, it displays a large “Loading…” message before the chart appears.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Rendering DATA with React & D3

This example shows a horizontal bar chart of United Nations population data for 2020, with each country represented as a rectangle whose width corresponds to its population. The visualization uses React state management to load and store the dataset via `useState` and `useEffect`, while D3 v6 utilities such as `csv`, `scaleBand`, `scaleLinear`, and `max` handle data parsing and scaling. The bars are rendered as SVG `<rect>` elements, mapped from the data array using React's declarative JSX syntax. A loading state displays "Loading.." until the data arrives.

Ssinghjy
94% match
Loading thumbnail…

Fork of Rendering Data using React and D3

A horizontal bar chart visualizes UN population estimates for 2020, with each country’s bar length proportional to its population. The React app loads CSV data via D3’s `csv` utility, then uses D3’s `scaleBand` and `scaleLinear` to map countries and population values to SVG `rect` coordinates. The chart renders directly in SVG, with bars positioned by country name along the y-axis and population magnitude along the x-axis.

Ttrissentety
93% match
Loading thumbnail…

Fork of Fork of Rendering Data with React & D3

This visualization displays UN population data for 2020 as a horizontal bar chart, where each bar’s length corresponds to a country’s population. The chart is built with React and rendered as SVG, using D3’s `csv` loader, `scaleBand` for the y-axis, and `scaleLinear` for the x-axis. The example demonstrates how D3 utilities handle data loading and scaling, while React manages the component state and maps each data row to an SVG `<rect>`.

AAbin
93% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population from a UN dataset, loaded via `d3.csv`. React state manages the fetched data, while `d3.scaleBand` and `d3.scaleLinear` map country names and population values to SVG rectangles. The visualization renders with React’s declarative JSX, using `d3.max` for the domain and the `useEffect` hook to trigger the asynchronous data load. The bars update on data arrival, replacing a simple loading text.

BBubfield
93% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example loads UN population data from a CSV file using D3’s `csv` utility, then renders a horizontal bar chart with React components. The `scaleBand` and `scaleLinear` functions position the bars and axis ticks, while `max` computes the domain. The visualization displays the top 10 countries by 2020 population as SVG rectangles, with country labels on the left axis and numeric tick marks along the bottom. All rendering happens through React’s declarative JSX, with D3 used solely for data loading and scale calculations.

SSampras Dsouza
93% match
Loading thumbnail…

Fork of Fork of Loading Data with React & D3

This example displays a horizontal bar chart of UN population data for 2019, using React state to manage the asynchronous loading of CSV data via D3’s `csv` utility. The bars are rendered as SVG `<rect>` elements whose widths map to population values through `d3.scaleLinear`, while country names are positioned using `d3.scaleBand`. The visualization shows a loading message until the data arrives, then renders the chart with a fixed size of 960×500 pixels. D3 v5 and React 16.9 are loaded via CDN, and the data is fetched from a gist hosted by Curran Kelleher.

Zzyniax
93% match
Loading thumbnail…

Fork of Rendering data with React and D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, rendered as SVG rectangles. It loads UN population data from a CSV file using `d3.csv`, then maps the data to React state with `useState` and `useEffect`. The chart uses `d3.scaleBand` for the y-axis country categories and `d3.scaleLinear` for the x-axis population values, with each bar’s width and position computed from these scales. React renders the SVG elements, while D3 handles data parsing and scaling.

YYibo Zhang
93% match
Loading thumbnail…

Fork of Rendering Data with React & D3

This example visualizes United Nations population data for 2020 as a simple bar chart rendered with SVG. It loads a CSV file using D3’s `csv` utility, then uses React components to map each country to a rectangle, with a band scale (`scaleBand`) positioning rows vertically. The code also imports `arc` and `pie` utilities, though the main rendering path uses plain React elements rather than D3’s shape generators.

EEevikettu
93% match