Skip to main content
SimilarExport ZIP
100%

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

✓ Published1🌍 Public
JJasvitha Allamsetty
Last edited Mar 11, 2023
Created on Mar 11, 2023

This visualization shows the basic cost of Netflix subscriptions across fifteen countries, rendered as horizontal bars ranked by country name. It uses React hooks to load CSV data and D3 v5 scales (`scaleBand`, `scaleLinear`) to position rectangles in an SVG. The code manually constructs axes with `xScale.ticks()` and grid lines, while omitting D3’s axis generators, and colors bars in the default black.

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 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
97% match
Loading thumbnail…

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

A horizontal bar chart displays the basic cost of Netflix subscriptions across fifteen countries, with country names on the y-axis and cost values on the x-axis. Using React hooks (`useState`, `useEffect`) to manage data loading, the code fetches a CSV file via `d3.csv`, then renders SVG rectangles scaled with `d3.scaleBand` and `d3.scaleLinear`. Axis ticks are manually generated, and the visualization uses blue vertical gridlines with labeled tick values.

Nnsatyaprakash22
97% 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 with React and D3. It employs React hooks for state management and data fetching, with D3’s `csv` parser to load external data, `scaleBand` for categorical y-axis positioning, and `scaleLinear` for continuous x-axis scaling. The SVG bars and axes are generated manually through React components, while D3’s `max` and `format` functions handle data processing.

Ssnehareddygurram
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 with React and D3. It employs React hooks for state management and data fetching, with D3’s `csv` parser to load external data, `scaleBand` for categorical y-axis positioning, and `scaleLinear` for continuous x-axis scaling. The SVG bars and axes are generated manually through React components, while D3’s `max` and `format` functions handle data processing.

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

This visualization displays the basic cost of Netflix subscriptions across the top 15 countries, using a horizontal bar chart where bar lengths encode cost values. The chart is built with React and D3 v5, with the React component managing state and rendering SVG elements, while D3’s `scaleBand` and `scaleLinear` handle positioning, and `csv` loads the data. The code manually generates axis ticks and grid lines instead of using D3’s axis components, and updates the visualization reactively when new data arrives.

99176371431
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