Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
SSharanya1307
Last edited Mar 23, 2023
Created on Mar 23, 2023

This visualization displays the basic cost of Netflix subscriptions across twelve countries using horizontal bars. The React component loads data from a CSV file, and D3’s `scaleBand` and `scaleLinear` map country names and costs to x/y positions, rendering `<rect>` marks within an SVG. Axes and ticks are generated manually via `xScale.ticks()` and D3’s `scaleBand` domain, with the y-axis labels positioned by `yScale`. The chart is updated asynchronously via `useEffect` and `csv` from D3 v5.

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 visualization displays the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart rendered as SVG. It is built with React for component structure and D3 v5 for data loading and scales, specifically using `scaleBand` for the categorical country axis and `scaleLinear` for the numeric cost axis. Data is fetched from a CSV file, and the bars, axis ticks, and gridlines are drawn manually with SVG elements rather than D3’s convenience methods. The chart updates reactively when the data loads, showing the cost range across different markets.

Ssnehareddygurram
96% match
Loading thumbnail…

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

This visualization presents a horizontal bar chart showing the basic cost of Netflix subscriptions across 15 countries, sourced from a CSV file. Built with React and D3 v5, it uses `scaleBand` for the categorical country axis and `scaleLinear` for the numeric cost axis. The code manually renders SVG gridlines, axis tick labels, and data rectangles using JSX elements, demonstrating a React component that manages CSV loading via `useEffect` and `useState` while delegating scale computations to D3.

Ggeethikal
96% match
Loading thumbnail…

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

This visualization displays the basic cost of Netflix subscriptions across 15 countries as a horizontal bar chart. It uses React 16.9 and D3 v5, with React managing component state and D3’s `scaleBand`, `scaleLinear`, and `max` functions for scaling and data processing. The data is loaded via D3’s `csv` method from a GitHub Gist. All marks, including axis ticks and rectangles, are rendered as SVG elements created directly in React’s JSX.

AAISWARYAMARAPATLA1999
96% match
Loading thumbnail…

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

This visualization displays the basic cost of Netflix subscriptions across fifteen countries using a horizontal bar chart rendered as SVG. The code combines React hooks (useState, useEffect) to manage data loading with D3’s csv parser, scaleBand for the categorical y-axis, and scaleLinear for the numeric x-axis. Country labels and gridlines are manually generated from D3 scale domains, while bars are drawn as rect elements with widths proportional to the cost values. The chart reads from a raw GitHub-hosted CSV dataset, demonstrating a React-D3 integration for declarative mark and channel rendering.

Bbhanuteja1807@gmail.com
96% match
Loading thumbnail…

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

This example shows the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart. The visualization renders SVG marks and channels through a React component that combines `useState`, `useEffect`, and `useCallback` hooks with D3’s `csv`, `scaleBand`, and `scaleLinear`. Data is loaded from a remote CSV file, with axis ticks drawn manually via `xScale.ticks()`. React controls the component lifecycle, while D3 manages scales and layout calculations for the rectangular bars.

Kkarnisrikanth2212
96% match
Loading thumbnail…

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

This visualization displays the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart rendered with React and D3 v5. The code uses `scaleBand` and `scaleLinear` to map country names and costs to SVG coordinates, with blue axis ticks and labeled bars showing each nation’s pricing. Data loads from a CSV file via `d3.csv`, while React hooks (`useState`, `useEffect`) manage the asynchronous fetch and re-render the SVG marks.

KKovvuri Supraj
96% match
Loading thumbnail…

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

This example visualizes the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart, rendered as SVG through React components. The application loads data from a CSV file, parses the cost values, and displays them with D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Grid lines and axis ticks are manually generated using `.ticks()`, with React’s `useState` and `useEffect` managing the asynchronous data loading and component rendering. The bars are simple `<rect>` elements positioned using D3’s scale functions.

Aadapavaishnavi12
96% match
Loading thumbnail…

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

This horizontal bar chart displays the basic cost of Netflix subscriptions across 15 countries, using React state and D3 scales. The React component loads CSV data from a GitHub gist via `d3.csv`, then renders SVG bars with `scaleLinear` for the x-axis and `scaleBand` for the y-axis country categories. Axis ticks and gridlines are generated manually from `xScale.ticks()`, while labels appear without helper axes. The visualization updates asynchronously after data loading, with D3’s `max` and `format` functions supporting the quantitative encoding.

RRishiAdarsh
96% match