Skip to main content
SimilarExport ZIP
100%

ICE-06: Rendering Marks and Channels with React & D3</html><title>

✓ Published1🌍 Public
Ssnehareddygurram
Last edited Mar 10, 2023
Created on Mar 10, 2023
Forked from Hello HTML

This example shows the basic costs for fifteen selected services across countries for the 2022 quarter year, displayed as a horizontal bar chart using SVG. The visualization is built with React and D3 v5, where D3’s `csv` loads and parses the data, and `scaleBand` and `scaleLinear` map the categorical countries and numeric costs to pixel positions. React renders the SVG elements, while D3 generates the axis ticks and grid lines, with bars drawn as rectangles whose widths encode the cost values.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-06: Rendering Marks and Channels with React & D3</html><title>

This visualization displays the basic costs of 15 selected services for the 2022 quarter year, presented as horizontal bars sorted by country. Built with React and D3 v5, it loads CSV data from a GitHub gist and renders an SVG chart. The code uses `d3.csv` for data parsing, `d3.scaleBand` and `d3.scaleLinear` for axes, and D3’s `max` function to determine the x-domain. React manages the state and conditional rendering, showing a loading message until the data arrives.

Ssnehareddygurram
97% match
Loading thumbnail…

Fork of ICE-06: Rendering Marks and Channels with React & D3</html><title>

This chart visualizes the basic cost of selected services for the 2022 quarter year, displaying data for 15 countries as horizontal bars. The chart uses an SVG rendering approach with React and D3 v5, employing D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. Data is loaded asynchronously from a CSV file hosted on GitHub, and the code includes custom tick marks and labels for both axes.

Ssnehareddygurram
94% match
Loading thumbnail…

ICE-06: Rendering Marks and Channels with React & D3

This visualization displays the basic cost of products sold across fifteen countries, using horizontal bars whose lengths encode the financial value for each country. Built with React and D3 v5, the code renders an SVG chart by mapping country names to a d3.scaleBand y-axis and cost values to a d3.scaleLinear x-axis. The data is loaded from a CSV file via d3.csv, and the bars are drawn as SVG rectangles within a transformed group.

Ssnehareddygurram
93% match
Loading thumbnail…

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

This example uses React and D3 v5 to render a horizontal bar chart of basic costs for 15 countries from a CSV dataset. It shows categorical marks as SVG rectangles positioned by a D3 `scaleBand` and `scaleLinear`, with axes drawn manually using gridlines and tick labels. The code imports D3 functions like `csv`, `scaleBand`, `scaleLinear`, and `max` within a React component, using hooks such as `useState` and `useEffect` to load data. All marks and channels are rendered declaratively as SVG elements.

Kkarumanchimanasa
91% match
Loading thumbnail…

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

This example displays country-wise basic internet costs as a horizontal bar chart, loading data from a CSV file and rendering it as SVG marks. The React component uses state and effects to fetch and parse the data, while D3’s `scaleBand` and `scaleLinear` map country names and cost values to pixel positions. Axes are manually constructed using array mappings for ticks and labels, with rectangle elements representing each bar. The visualization integrates React’s declarative rendering with D3’s scaling utilities, demonstrating a hybrid React-and-D3 approach for static chart generation.

AAnanthulaaditya
90% match
Loading thumbnail…

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

This example shows the cost of a basic Netflix subscription in twelve countries using horizontal bars, with countries labeled along the vertical axis and cost values on the horizontal axis. Built with React and D3 v5, it uses `d3.csv` to load data from a GitHub gist, then creates SVG bar marks with `scaleBand`, `scaleLinear`, and `max` for layout. Axis ticks are rendered manually from `xScale.ticks()` and `yScale.domain()`, while each rectangle’s width encodes the numeric cost channel.

MMgk1255
90% match
Loading thumbnail…

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

This example visualizes the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart rendered as SVG. React manages the component state and lifecycle, fetching CSV data via D3’s `d3.csv`, while D3 scales (`scaleBand`, `scaleLinear`) and axis helpers (`axisLeft`, `axisBottom`) position the marks. The chart encodes cost with bar width and country names on the y-axis, with gridlines and tick labels drawn manually using SVG elements. Data comes from a GitHub-hosted CSV file.

Bbhanuteja1807@gmail.com
89% match
Loading thumbnail…

ICE-6: Rendering Marks and Channels with React D3

This visualization displays a horizontal bar chart of the top 15 countries by basic cost using 2019 World Population data. The chart renders as an SVG within a React app, with blue grid lines and numeric labels along the x-axis and country names on the y-axis. The code uses React hooks (`useState`, `useEffect`) to load and manage CSV data via `d3.csv`, then applies `scaleBand` for categorical positioning and `scaleLinear` for quantitative scaling. D3’s `max` function computes the domain for the cost values.

Mmanishcheruku
89% match