Fork of Rendering Data with React & D3

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 & D3

This example shows a horizontal bar chart of the top 10 countries by population, using React to render SVG elements and D3 for data processing and scales. The visualization uses the `UN_Population_2019` dataset, loaded via `d3.csv`, with a linear scale for population values and a band scale for country names. The code includes separate React components for the axes and marks, with D3’s `scaleBand` and `scaleLinear` functions, demonstrating a clean separation of data handling and UI rendering.

CCatalina Vajiac

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 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 of Fork of Fork of Rendering Data With REACT

This example displays a horizontal bar chart of the top ten countries by population, according to the UN Population 2019 dataset. It shows both how D3 can load and scale data and how React manages the rendering state asynchronously. The code loads data with `d3.csv`, maps values using a scaleBand for the categorical country axis and a scaleLinear for the numeric population axis, and renders `d3.rect` SVG elements. React’s `useState` and `useEffect` hooks control the data loading and display a loading message before the chart appears.

Nnkarinti

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 & D3

This example displays a horizontal bar chart of the top 10 countries by population for 2020, using React to render SVG elements and D3 for data loading and scales. The chart shows population values as bars with labeled axes, including a formatted bottom axis using `format(".2s")`. Data is loaded via `d3.csv` from a UN population dataset, with country names on the y-axis using `scaleBand` and population on the x-axis using `scaleLinear`. React components such as `AxisBottom`, `AxisLeft`, and `Marks` manage the visualization structure.

SSemyon

Fork of Rendering Data with React & D3

This example shows a bar chart of the ten most populous countries for 2020, using data loaded from a CSV file of UN population estimates. The visualization renders as a series of horizontal rectangles whose lengths correspond to each country’s population. Built with React for component structure and D3 utilities for data loading (`d3.csv`) and scaling (`scaleBand`, `scaleLinear`), the chart is drawn as an SVG. The code uses React hooks (`useState`, `useEffect`) to fetch and store the data, then maps it directly to `<rect>` elements.

Aalexanderjpark