Fork of Fork of Rendering Data With REACT

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 Fork of Fork of Rendering Data With REACT

This example displays a horizontal bar chart comparing the 2020 populations of the top ten countries from a UN population dataset loaded via `d3.csv`. The visualization uses React state to store the parsed data, and renders SVG elements dynamically. D3’s `scaleBand` and `scaleLinear` position bars and axis ticks, while React’s `useEffect`, `useState`, and `useCallback` manage data fetching and component updates. Axes and gridlines are generated using `xScale.ticks()`, with text labels for both countries and population values.

Nnkarinti

Fork of Rendering data with React

This visualization displays the populations of ten countries in a horizontal bar chart using SVG rectangles rendered by React. The chart loads UN Population data for 2019 from a CSV file using D3’s `csv` utility, then uses React’s `useState` and `useEffect` hooks to fetch and store the top ten rows. The bar widths are scaled with D3’s `scaleLinear`, while the vertical positions use `scaleBand` on country names. The rendering maps over the data with React’s `map` function to create each `<rect>` element.

Kkragovic

Fork of Fork of Rendering Data with React & D3

This visualization displays the populations of the top 10 countries using a horizontal bar chart, rendered as SVG elements. The chart employs D3.js scales (`scaleBand` and `scaleLinear`) to map country names and population values to coordinates, while React constructs the SVG components, including custom axes and mark elements. Data is sourced from a CSV file of UN population estimates, using D3's `csv` utility. Tooltips, formatted with D3's `format` function, reveal the precise population figures for each bar on hover.

CCatalina Vajiac

Fork of Rendering Data with React & D3

This visualization displays the top 10 most populous countries in 2020 as a horizontal bar chart, using React to render SVG rectangles that scale with each country’s population. It loads CSV data via `d3.csv` and transforms the population column to numeric values with a custom row function. The chart employs `d3.scaleBand` for the country categories and `d3.scaleLinear` for the population values, while React’s `useState` and `useEffect` manage the asynchronous data fetching and rendering state.

Nnncis

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the top 10 countries by 2020 population, using SVG rectangles rendered by React. The code loads the UN Population 2019 dataset via `d3.csv`, processes the population values, and maps the data through `scaleBand` and `scaleLinear` for positioning. React hooks manage the asynchronous data loading and state, while the `max` utility from D3 determines the x-axis domain. The bars are drawn directly as `<rect>` elements, with widths proportional to each country’s population.

TTylerSaikaleyTheriault

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 and D3 as a Burst of Color!

This visualization displays the top 10 countries by 2020 population as horizontal bars, using the 2019 UN Population dataset. The React component loads the CSV with `d3.csv`, stores it in state via `useState`, and renders an SVG with `d3.scaleBand` for the y-axis categories and `d3.scaleLinear` for the x-axis values. A loading message appears until the data arrives.

Rrmgoldberg24