Fork of Fork of Fork of ICE-6 Bar Graph

100%

Fork of Fork of Fork of ICE-6 Bar Graph

✓ Published1🌍 Public

Last edited Mar 23, 2023

Created on Mar 23, 2023

Forked from Fork of Fork of ICE-6 Bar Graph

This bar chart displays Netflix Premium subscription prices across twelve countries, using horizontal bars ranked by cost. Built with React and D3 v5, the visualization loads CSV data via `d3.csv` and renders SVG elements. The code manually constructs axes with `scaleBand` and `scaleLinear`, draws gridlines and labels through `.ticks()`, and maps each country to a colored rectangle. Reusable D3 selection functions like `axisLeft` and `axisBottom` are imported but unused beyond the custom tick rendering.

AI-generated description

A whole smiley face

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of Fork of Fork of ICE-6 Bar Graph

This bar chart displays Netflix Premium subscription prices in US dollars across twelve countries. The visualization loads CSV data from a GitHub Gist, sorts it, and renders the top twelve entries as horizontal bars using React for the component structure and D3 v5 for scales, axes, and CSV parsing. The graph uses a band scale for country names on the y-axis and a linear scale for price values on the x-axis, drawing red gridlines and tick labels within an SVG container.

Vviswak12

97% 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

93% match

Loading thumbnail…

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

This bar chart shows Netflix subscription prices across different countries, plotting the number of movies available in each country against a horizontal axis. The visualization is rendered as an SVG using React components that leverage D3's `scaleBand` for the categorical country axis, `scaleLinear` for the continuous movie-count axis, and `csv` to load data from a GitHub-hosted CSV file. The code manually constructs axis ticks and gridlines, and uses `rect` elements to draw the bars.

TTejaswicmandava

93% match

Loading thumbnail…

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

This bar chart shows the basic cost of Netflix subscriptions in 15 different countries. The visualization is built with React components and D3 v5 methods, using `csv` to load and parse data from a remote URL, and `scaleBand` and `scaleLinear` to map country names and costs to SVG rectangles. Axis ticks are rendered with `xScale.ticks()`, and the chart is drawn as an SVG element within a React app.

Ssnehareddygurram

93% match

Loading thumbnail…

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

This bar chart displays the basic cost of Netflix subscriptions across 15 countries, sourced from a CSV file and rendered as an SVG using React 16.9 and D3 v5. It uses `scaleBand` for the categorical country axis and `scaleLinear` for the continuous price axis, with rectangles as marks and position and length as channels. Axes are manually constructed with `axisBottom` and `axisLeft`, and gridlines are drawn directly. The visualization is built declaratively in JSX, with state managed via React hooks.

AAISWARYAMARAPATLA1999

93% match

Loading thumbnail…

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

This bar chart visualizes the basic cost of Netflix subscriptions across fifteen countries, using horizontal bars to show each country's SCORE value. Built with React and D3 v5, the code loads CSV data from a GitHub gist and renders the visualization as an SVG. It uses `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, with manually drawn tick marks and axis labels. Bar rectangles are generated directly from the data, mapping each country's title to the y-coordinate and its score to the bar width.

Nnsatyaprakash22

93% match

Loading thumbnail…

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

This bar chart visualizes the basic monthly cost of Netflix in 15 countries, ordered vertically by country. The visualization is built with React and D3 v5, using an SVG rendering approach. The code loads CSV data from a GitHub gist and uses `d3.scaleBand` for the y-axis, `d3.scaleLinear` for the x-axis, and `d3.max` to determine the domain. Each country is represented as a `rect` element, with bars drawn from the left margin.

TTekmal-Bhavana

92% match

Loading thumbnail…

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

This bar chart visualizes the basic monthly cost of Netflix subscriptions across 15 countries, using horizontal bars scaled by price. Built with React and D3 v5, the code loads CSV data via `d3.csv`, then uses `scaleBand` for country categories and `scaleLinear` for cost values. The SVG rendering mixes React components for the chart structure with D3 helpers like `xScale.ticks()` for grid lines and axis labels. The visualization highlights pricing disparities, with bars drawn as `rect` elements and axes positioned through D3’s margin convention.

AAISWARYAMARAPATLA1999

92% match