Fork of Rendering Data with React & D3

Fork of Rendering Data with React & D3

This bar chart displays the top 10 countries by population in 2020, using React for rendering SVG elements and D3 utilities for data loading and scales. The code fetches CSV data via `d3.csv`, transforms population values, and applies `scaleBand` for categorical positioning and `scaleLinear` for numeric values. Axes are custom React components that generate tick marks and labels. Hovering over a rect reveals a tooltip with the exact population value through the SVG `<title>` element.

Ppnlinyz

Fork of Rendering Data with React

This example shows a horizontal bar chart of the top 10 countries by population as of 2020, using React to render SVG rectangles. The chart loads CSV data with `d3.csv` and use `d3.scaleBand` and `d3.scaleLinear` to map countries and population values to screen coordinates. The data is fetched asynchronously via `useEffect`, stored in React state, and displayed after a brief "Loading..." message. React’s `useState` and `useCallback` manage the data flow, while `d3.max` determines the scale domain.

LLisa Wagner

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, using a bar width proportional to each country’s population. It loads CSV data from a GitHub gist via `d3.csv`, then maps each row’s population string to a number. The React component uses `useState` and `useEffect` to fetch and store the data, while `d3.scaleBand` and `d3.scaleLinear` position and size the rectangles. React renders the final SVG, with each country’s name on the y-axis and its population scaled along the x-axis.

Iisavedalex

Fork of Rendering Data with React

This example visualizes the top 10 countries by 2020 population as horizontal bars, using React state to manage the loaded data and render each rectangle as an SVG element. The chart loads CSV data from a GitHub gist using `d3.csv`, parses the population column, and applies `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis to position and size the bars. The React hooks `useState` and `useEffect` handle the asynchronous data fetch, while `d3.max` determines the scale domain.

KKazushige Okuma

Fork of Rendering data with React

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using D3 utilities to load and scale the data and React to render the SVG bars. The code uses `d3.csv` to fetch population data from a gist, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the quantitative x-axis. Each country is drawn as a React `<rect>` component within an SVG, with bar widths proportional to population values.

Jjiro2017

Fork of Fork of Rendering Data With REACT

This visualization displays the top 10 countries by 2020 population as horizontal bars in an SVG. The code loads the data using D3’s `csv` utility, stores it in React state via `useState` and `useEffect`, and maps each country to a `rect` positioned with `scaleBand` and scaled by `scaleLinear`. The chart updates on load, showing population values from the UN_Population_2019 dataset. React renders the SVG elements, while D3 v7 handles the data processing and scales.

Nnkarinti

Fork of Rendering Data with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, using population data loaded from a CSV file hosted on GitHub. The code combines React for component rendering with D3 utilities `csv`, `scaleBand`, and `scaleLinear` to parse the data and set up the scales for the chart. Each country is drawn as an SVG `<rect>` element, with the bar width proportional to its population. The visualization demonstrates how D3’s data-loading and scaling functions can be integrated directly into a React component’s state and effect hooks.

Kkatebacon32

Fork of Rendering data with React & D3

This example shows a horizontal bar chart of the top ten countries by population in 2020, using a combination of React and D3. The chart displays population values as proportional bar widths, with axis ticks and country labels generated from the loaded CSV data. React manages the component state and lifecycle through hooks like `useState` and `useEffect`, while D3’s `scaleBand`, `scaleLinear`, and `max` functions handle scaling and data processing. The visualization renders as SVG, with bars and text elements created declaratively in JSX.

Kkosakase