Fork of Rendering Data with React

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

Fork II of Rendering data with React.

This example displays a horizontal bar chart of the top ten countries by 2020 population, based on UN population data loaded as CSV via `d3.csv`. React manages the component state with `useState` and `useEffect` to fetch the data, while D3 v7 utilities `scaleBand` and `scaleLinear` map country names and population values to SVG rectangles. Rendering occurs through React’s virtual DOM into an SVG container, with a loading message shown before the data arrives.

Bbsolomon103

Fork of Fork of Rendering Data with React

This example shows a horizontal bar chart of the top 10 most populous countries for 2020, using the UN Population 2019 dataset loaded via D3’s `csv` function. The bars are rendered as SVG `<rect>` elements inside a React component, with D3’s `scaleBand` for the categorical y-axis (country names) and `scaleLinear` for the quantitative x-axis (population). React hooks (`useState`, `useEffect`, and `useCallback`) manage asynchronous data loading and state updates. The visualization demonstrates a clean React-D3 integration where D3 handles data parsing and scaling while React owns the component lifecycle and DOM rendering.

Ttharuta

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

Fork of Rendering Data with React & D3

This example shows a bar chart of the top 10 countries by population from the UN Population 2019 dataset, rendered as SVG rectangles. It uses React hooks (useState, useEffect) to load and store CSV data via d3.csv, then maps each country to a rect with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis. The chart updates after data is fetched and displayed as a loading message beforehand. React’s declarative rendering drives the SVG output, while D3 handles the data parsing and scales.

Jjth500

Fork of Rendering Data with React 2

This example displays a horizontal bar chart of population data for the top 10 countries in 2020, sourced from a CSV file of UN population estimates. It uses React hooks (useState, useEffect, useCallback) to manage data loading and rendering, while D3 v5 utilities (d3.csv, d3.scaleBand, d3.scaleLinear, d3.max) handle data parsing and scale creation. The visualization renders axes, tick labels, and bars as SVG elements within a React component, with D3 providing the scaling logic and React managing the DOM updates.

Vvijaytayal

Fork of Fork of Rendering data with react

This example renders a horizontal bar chart of the top 10 countries by 2020 population, loading data from a CSV file of UN population estimates. The visualization uses React with the `useState` and `useEffect` hooks to fetch and store the data via `d3.csv`, then maps over the dataset to generate SVG `<rect>` elements. Position and size are determined by `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population values, while `d3.max` computes the domain for the linear scale.

SSamirAhma

Fork of Rendering Data with React & D3

This visualization displays United Nations population estimates for 2020 as a horizontal bar chart, with each bar representing a country’s population. The chart is built using React for component rendering and D3 utilities for data loading and scaling, specifically `d3.csv`, `d3.scaleBand`, and `d3.scaleLinear`. The code fetches CSV data from a GitHub gist URL, parses the population column, and renders SVG rectangles whose widths correspond to population values. The visualization updates reactively as data loads, showing a loading message until the dataset arrives.

HHaris Abdullah