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This example shows the monthly cost of basic Amazon services across different countries, displayed as a horizontal bar chart. The visualization ranks twelve country codes by their associated costs, with a red gridline marking each value on the x-axis. The chart uses pre-loaded CSV data and renders in SVG via React. It implements D3 version 5’s `scaleBand` and `scaleLinear` to map country codes and cost values, while `csv` fetches the external dataset and `max` calculates the domain for the value axis.

Pprathyusha-reddy-arch

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This bar chart displays the cost per month for basic Amazon service across twelve different countries. The visualization is built with React and D3.js (v5), using D3's `csv` function to load data from a remote gist, `scaleBand` for the categorical y-axis, and `scaleLinear` for the numeric x-axis. The SVG rendering shows horizontal bars whose lengths correspond to the costs, with axis ticks and labels generated via D3's scale methods. The chart is drawn within an SVG canvas, with margins and dimensions defined in the code.

Vviswak12

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This bar chart displays the monthly cost of Amazon's basic service across twelve countries, with country names on the vertical axis and cost values on the horizontal axis. Built with React and D3 v5, the visualization loads CSV data from a GitHub Gist and renders as an SVG. The code uses D3's `scaleBand` and `scaleLinear` for axes, `max` for domain calculation, and `csv` for data parsing, while React's `useState` and `useEffect` manage the data loading state.

TTekmal-Bhavana

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This bar chart shows the monthly basic cost of Amazon services across twelve countries, with countries listed vertically and costs plotted horizontally on a red-tinted grid. The visualization loads CSV data from a GitHub gist using D3’s `csv` method and React hooks (`useState`, `useEffect`) to fetch and store the dataset. D3 scales (`scaleBand` and `scaleLinear`) position the bars, while SVG rectangles and manually rendered tick labels—instead of D3 axes—draw the chart. The React app renders the final SVG, with the data truncated to the first twelve rows for display.

Bbhanuteja1807@gmail.com

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This visualization displays the cost of basic Amazon Prime subscriptions across different countries, presenting a horizontal bar chart of the top twelve countries by price. The chart uses React for component management and D3 v5 for data binding, scaling, and layout, with SVG rendering. Data is loaded from a CSV file using D3’s `csv` function, and scales are created with `scaleBand` and `scaleLinear`. Grid lines and axis tick labels are manually generated by iterating over scale ticks, and each country is represented by a colored rectangle. The visualization updates reactively as data loads, initially showing a loading message.

Vviswak12

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This bar chart visualizes Amazon basic subscription costs across twelve countries, with horizontal bars showing the monthly price in dollars. The visualization uses React (via hooks like `useState` and `useEffect`) to manage state and render an SVG, while importing D3 v5 functions such as `scaleBand`, `scaleLinear`, and `max` for the bar layout and axes. Data is loaded from a CSV file, and the chart includes red gridlines and custom tick labels along the x-axis, with country names positioned on the y-axis.

SSharanya1307

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This bar chart visualizes Amazon Basic subscription costs across twelve countries, sourced from a CSV file. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Axes are manually rendered with grid lines and tick labels, while red vertical guides and rectangular bars show the cost values. The chart updates asynchronously after fetching and parsing the data with `csv()`.

GGogineni44

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This example displays a horizontal bar chart comparing monthly basic Amazon costs across different countries, using the first twelve rows of a CSV dataset. The visualization renders SVG elements through React components, with D3 v5 handling data loading via `d3.csv`, scale construction using `scaleBand` and `scaleLinear`, and axis generation through `axisBottom` and `axisLeft`. The chart includes red gridlines with tick labels, country names along the y-axis, and colored rectangles representing costs. Data updates occur after the CSV loads, triggering React state changes that re-render the SVG. The visualization appears within a React app, with D3’s `max` function setting the x-axis domain.

Aajaysonu