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

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

This visualization displays the top 10 vehicle selling prices as a horizontal bar chart, with car names on the y-axis and price on the x-axis. Built using React and D3 v5, it loads CSV data via d3.csv, then uses d3.scaleBand and d3.scaleLinear to position bars and axis ticks rendered as SVG elements. The chart includes custom grid lines and tick labels, with all marks generated declaratively through React components.

KKishen Patel

90% match

Fork of ICE-6:Sai Meghana

This visualization displays the top 10 car prices from a CSV dataset, rendered as a horizontal bar chart using React and D3 v5. It loads the data with `d3.csv`, scales the numeric price values with `d3.scaleLinear`, a categorical car names with `d3.scaleBand`, and draws SVG rectangles for each bar. The chart includes grid lines and axis tick labels generated from the scales, and updates reactively once the dataset has loaded.

89% match

Fork of ICE 6 Data Visualization

This bar chart displays the sales units for the top ten car models, ranked by name along the vertical axis. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` for axes, and SVG `rect` elements for bars. Data is loaded from a CSV file via `d3.csv` and rendered with a margin-based layout featuring a blue axis grid.

MMalempatiSaranya

89% match

Fork of Fork of ICE-6:Sai Meghana

This example displays a horizontal bar chart of the top 7 SUV cars based on their price. The visualization is built with React and D3 v5, using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Data is loaded asynchronously from a CSV file via `d3.csv` and rendered as SVG rectangles within a React component. The chart includes gridlines, axis ticks, and car name labels, with margins defined to accommodate the layout.

Fork of Fork of ICE-6:Sai Meghana

This bar chart displays the top 10 car prices from a CSV file, with each bar sized according to the car’s price. The chart uses React to build the user interface and D3.js to handle data loading, scaling, and rendering. The visualization’s axes and bars are constructed using D3’s `scaleBand`, `scaleLinear`, and `max` functions, drawing elements as SVG rectangles. The data is fetched from a remote CSV URL and the chart includes grid lines and tick labels for readability.

Fork of Fork of ICE-6:Sai Meghana

Fork of Fork of ICE-6:Sai Meghana

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

This example shows a horizontal bar chart of best-selling car data from a CSV file, displaying the population values for different Toyota models. The chart uses React hooks (`useState`, `useEffect`) to load and manage the data, while D3 v5 functions (`csv`, `scaleBand`, `scaleLinear`, `max`) handle the data parsing and scaling. Bars are rendered as SVG `<rect>` elements, with grid lines and tick labels generated via `xScale.ticks()`.

KKiran3295