Fork of ICE-6: Rendering Marks and Channels with React & D3

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 11 bicycles alongside their prices, using horizontal bars to compare values. The visualization is built with React and D3 v5, rendering SVG marks and channels through React components. Data is loaded from a CSV file using `d3.csv`, with scales created via `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Grid lines, tick labels, and rectangles are generated programmatically, with bar colors styled via CSS.

95% match

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 10 companies by bicycle sales, rendered as horizontal bars within an SVG. The visualization is built using React and D3, with data loaded from a CSV file. The code uses `d3.csv` to fetch and parse the data, and `d3.scaleBand` and `d3.scaleLinear` to map company names and sales values to visual positions. Each bar’s width is proportional to its sales figure, with gridlines and axis ticks generated from the linear scale.

90% match

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using a React component that fetches CSV data with `d3.csv` and renders SVG marks via JSX. It leverages `scaleBand` for the y-axis country categories, `scaleLinear` for the x-axis population values, and `max` to compute the domain. The chart includes custom tick labels and grid lines generated from `xScale.ticks`, with bars styled as `rect` elements.

Fork of ICE-6: Rendering Marks and Channels with React & D3

A horizontal bar chart displays the selling prices of fifteen motorcycle models, using bike details data loaded from a CSV file. Built with React components and D3 scales, the visualization renders SVG rectangles whose lengths encode price, with axes and tick labels generated. D3’s `scaleBand`, `scaleLinear`, and `csv` functions handle data mapping and parsing. React manages the state and lifecycle for loading the dataset.

MMounishSeeni

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart of laptop sales for the top ten companies, rendered as SVG elements using React. The code loads CSV data with `d3.csv`, scales values with `d3.scaleBand` and `d3.scaleLinear`, and manually creates axis ticks and gridlines. The bars and labels are generated as React components, with styling applied via CSS in the HTML file.

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example shows the top ten bicycle companies by 2018 sales as a horizontal bar chart, styled with pink bars on a red background. The visualization is built with React and D3 v5, using `d3.scaleBand` for the y-axis company labels and `d3.scaleLinear` for the x-axis sales values. Data is loaded asynchronously from a CSV file via `d3.csv`, and the SVG rendering is handled through ReactDOM, with axes and gridlines created using D3's `scale.ticks()` method.

88% match