Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
Bbhanuteja1807@gmail.com
Last edited Mar 27, 2023
Created on Mar 27, 2023

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.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example displays the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart. Built with React and D3 v5, it loads CSV data via `d3.csv` and renders SVG marks through React components. The chart uses `d3.scaleBand` for the categorical y-axis (countries) and `d3.scaleLinear` for the quantitative x-axis (cost in USD). Grid lines and axis ticks are generated with `xScale.ticks()`. The underlying dataset is derived from public Netflix pricing information.

Bbhanuteja1807@gmail.com
98% match
Loading thumbnail…

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

This example shows the cost of Netflix subscriptions across twelve countries using horizontal bars, where bar length encodes price and country names appear on the y-axis. Built with React and D3, the component loads CSV data via `d3.csv`, then renders SVG marks directly in JSX using `scaleBand` for country categories and `scaleLinear` for cost values. Axes are drawn manually with `xScale.ticks()` and `yScale.domain()`, while `useEffect` fetches the data asynchronously.

AAditya Pujari
96% match
Loading thumbnail…

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

This example displays the basic monthly cost of Netflix across 15 countries as horizontal bars, using bar length to encode price. It renders SVG marks with React, building scales and axes through D3’s `scaleBand` and `scaleLinear`, and draws tick lines and labels manually via `ticks()`. Data is loaded asynchronously from a CSV URL using D3’s `csv` function. The chart uses blue gridlines and text labels, with margins and dimensions fixed in the code.

Ssrividyabachina22
96% match
Loading thumbnail…

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

This example renders a horizontal bar chart of Netflix subscription costs across 15 countries using React and D3 v5. It shows the relative pricing differences by encoding the cost values as bar lengths, with country names on the y-axis and a linear cost scale on the x-axis. The code loads CSV data via `d3.csv`, uses `scaleBand` and `scaleLinear` for positioning, and generates SVG rectangles for the bars. Custom tick labels and grid lines are drawn manually using the scale ticks, while React manages the component state and rendering lifecycle.

TTejaswicmandava
96% match
Loading thumbnail…

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

This example uses a horizontal bar chart to display the basic cost of Netflix in fifteen countries, loaded from a remote CSV file. React manages the application state and renders the SVG marks, while D3’s `scaleBand` positions the categorical country labels and `scaleLinear` maps the continuous cost values to bar widths. The code manually constructs tick marks and gridlines using `xScale.ticks()` and `yScale.domain()`, drawing each rectangle bar and axis text as React components within an SVG container.

99176371431
96% match
Loading thumbnail…

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

This example shows the basic monthly cost of Netflix in different countries using a horizontal bar chart rendered with React and D3. The visualization maps country names along the y-axis using `d3.scaleBand` and pricing values along the x-axis with `d3.scaleLinear`, displaying red rectangles as marks. Data is loaded from a CSV file via `d3.csv` and limited to the first 20 entries. The chart uses React hooks (`useState`, `useEffect`) to manage data fetching, while D3 generates SVG scales, axes, and grid lines for the static rendering.

99176371431
96% 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
96% match
Loading thumbnail…

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

The visualization displays the basic cost of Netflix subscriptions across 15 countries using a horizontal bar chart. It uses React hooks (useState, useEffect) to fetch data via d3.csv and renders SVG marks as colored rectangles scaled with d3.scaleLinear and d3.scaleBand. Axes are manually drawn with gridlines and labels using SVG elements, with data loaded from a gist URL.

Ssaisreearibandi
96% match