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A horizontal bar chart displays the top 7 SUV cars ranked by price, with each bar labeled by car name and value on a linear price scale. The visualization uses React to manage state and render SVG elements, while D3 v5 handles data loading via `d3.csv` and scales (`d3.scaleBand`, `d3.scaleLinear`). Grid lines appear in orange for each price tick, and bars have fixed heights within a band layout. Data comes from a remote CSV file, processed asynchronously and sliced to ten entries.

98% 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.

96% match

Fork of ICE-6:Sai Meghana

This example visualizes the top 7 SUV car prices using a horizontal bar chart. It loads CSV data from a GitHub gist and displays the first 10 records, mapping car names to the y-axis and price to bar width. The chart is built with React for component structure and d3.js for scales and axes. SVG is used for rendering, with d3.scaleBand and d3.scaleLinear creating the layout, and orange gridlines marking tick values.

95% 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.

92% match

ICE-6:Sai Meghana

This example shows a horizontal bar chart of the top 7 SUV cars ranked by price, with each bar labeled by car name and value. The visualization uses React to manage the component state and render SVG elements, while D3 v5 provides scales and data loading through `d3.csv` and `d3.scaleBand`/`d3.scaleLinear`. Data comes from a CSV file of car prices, filtered to the first 10 entries, with grid lines and tick labels generated from `xScale.ticks()`.

Fork of ICE-6:Sai Meghana

This visualization presents the top 7 SUV cars ranked by maximum speed, displayed as a horizontal bar chart using React and D3 v5. The chart maps car names to the y-axis and their speed values to the x-axis, with blue grid lines and labeled ticks. Data is loaded asynchronously from a CSV file via `d3.csv`, with speed values parsed and transformed into a linear scale for bar widths. The SVG rendering uses `d3.scaleBand` for the categorical axis and `d3.scaleLinear` for the continuous speed dimension.

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