Fork of Rendering data with React & D3

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 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 bar chart of the top ten countries by population for 2020, rendered as an SVG using React and D3. It loads CSV data from a GitHub gist with d3.csv, then maps the data to scaleBand and scaleLinear scales for country and population axes. React components render the axes and rectangles via SVG, and a d3-based tick system draws gridlines.

AAbdessalem Lagraf

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 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 & 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 population data for the top 10 countries in 2020, loaded from a CSV file and rendered as SVG rectangles. The app uses React hooks (useState, useEffect) to fetch and store the data, then maps it to bars with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis. Bars are positioned using the yScale and sized by xScale on population values, with the chart filling the entire window.

Gguptambergatech

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