Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
NNikhilchiguru-8
Last edited Mar 8, 2023
Created on Mar 8, 2023

This example visualizes the average software developer rent in US metros using a bar chart rendered with React and D3 v5. The chart displays 15 metro areas from a CSV dataset, mapping metro names to the y-axis and average rent values to the x-axis via d3.scaleBand and d3.scaleLinear. React manages the component state and SVG rendering, while D3 handles data loading with d3.csv, scales, and axis ticks. The code manually creates gridlines and tick labels using React JSX, avoiding d3.axisBottom or d3.axisLeft.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This bar chart displays the average rent prices for 25 Moscow metro areas, using horizontal bars scaled linearly by price. It is built with React and D3 v5, using `scaleBand` for the categorical metro names on the y-axis and `scaleLinear` for the numeric rent values on the x-axis. The SVG rendering includes custom grid lines and tick labels generated from D3’s `scaleLinear` ticks. Data is loaded asynchronously from a CSV file via d3.csv, with the first 29 rows selected for display.

Mmanasanimmagadda13
90% match
Loading thumbnail…

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

This example displays average software developer salaries for 15 metropolitan areas using horizontal bars. It uses React to render SVG marks and D3 v7 scales and axes. The code fetches CSV data with `d3.csv`, applies a linear scale for salary values, and a band scale for metro names. Axes are drawn manually with ticks, lines, and text elements using D3 helper methods.

RRishiAdarsh
90% match
Loading thumbnail…

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

This example shows the total cost of living for 15 U.S. cities using a horizontal bar chart rendered as SVG. The React component loads data from a CSV file with d3.csv, then uses d3.scaleBand and d3.scaleLinear to map city names and costs to positions and bar widths. Custom tick marks are drawn manually using array mapping, with d3.format applied to axis labels. The visualization demonstrates integrating React state management with D3’s scaling and data-loading utilities for a static, styled bar chart.

Kkarnisrikanth2212
88% match
Loading thumbnail…

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

This interactive bar chart displays the basic cost of living for 15 cities across various US states. Built with React and D3 v5, the visualization renders SVG marks and channels, using a band scale for the categorical y-axis and a linear scale for the numerical x-axis. Data is loaded from a CSV file via d3.csv. The React component manages state and uses useEffect to fetch and slice the data, while d3.scaleBand and d3.scaleLinear map city names and costs to screen coordinates.

Kkarnisrikanth2212
88% match
Loading thumbnail…

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

This example shows a horizontal bar chart of city temperatures, using React to render SVG marks and D3 to compute scales. It loads city data from a CSV file, slices the first 15 rows, and maps each city’s `Basic_length` value to a bar’s width. The code uses `d3.csv` for parsing, `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.max` for domain calculation. Grid lines and axis ticks are drawn manually with SVG elements, while React’s `useEffect` and `useState` manage asynchronous data loading.

NNeeharikaGali
87% match
Loading thumbnail…

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

This visualization shows the basic cost of Amazon in various US cities, displaying a horizontal bar chart of library sizes for 15 cities. The data is loaded from a CSV file using d3.csv and rendered as SVG through React components. The chart uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.max to determine the scale domain. The code manually creates axis ticks and grid lines rather than using d3.axisBottom or d3.axisLeft.

Kkarnisrikanth2212
87% match
Loading thumbnail…

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

This interactive bar chart visualizes the basic cost of Amazon services across fifteen U.S. cities, using horizontal bars to compare each city’s Total Library Size. Built with React and D3 v5, the app loads CSV data via `d3.csv`, then renders scales and axes with `scaleBand` and `scaleLinear`. SVG rectangles are generated declaratively through React’s JSX, while D3 utilities like `max` and `tick` formatting drive the axis layout. The visualization updates reactively when new data arrives, combining React’s state management with D3’s quantitative computation for a clean, responsive chart.

Kkarnisrikanth2212
86% match
Loading thumbnail…

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

This horizontal bar chart displays salary data for employees at different ages, using bars whose lengths encode salary values and y-axis positions encode age. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map data to SVG rectangle marks, with custom axis ticks rendered via D3’s `axisLeft`, `axisBottom`, and `scaleLinear` methods. It loads CSV data from a GitHub gist, filtering the first 15 rows, and renders entirely as SVG within a React component, with loading state managed via React hooks.

NNitheeshSama
86% match