Fork of Fork of ICE-7 Area Chart

100%

Fork of Fork of ICE-7 Area Chart

✓ Published0🌍 Public

Last edited Jul 3, 2022

Created on Jul 3, 2022

This visualization displays Netflix subscriber costs over time, using a smoothed area chart drawn as an SVG. The code relies on D3 v5 functions like `scaleTime`, `scaleLinear`, `axisBottom`, `axisLeft`, `line`, and `area` with `curveBasis` to generate the path. Data is loaded from a CSV file and parsed with `d3.timeParse`. The chart is rendered inside an HTML page with CSS styling, with axis labels and gridlines styled via `.tick` and `.axis-label` classes.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of ICE-7 Area Chart

This area chart visualizes Netflix subscriber growth from 2003 to 2021, sourced from a CSV file fetched via `d3.csv`. The chart uses `d3.scaleTime` and `d3.scaleLinear` to map years and subscriber counts, with `d3.area` and `d3.line` generators rendering smooth curves via `d3.curveBasis`. SVG output includes labeled axes, grid lines via tick marks, and an orange filled area beneath the black line. The React-based code imports D3 functions directly and applies CSS styling for fonts and colors.

Nnsatyaprakash22

91% 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

87% match

Loading thumbnail…

ICE-7 Area Chart

This area chart visualizes Netflix subscriber counts from 2003 to 2021. The code uses D3 v5 APIs including `d3.scaleTime`, `d3.scaleLinear`, `d3.line`, and `d3.area` with a `curveBasis` interpolation, rendering the chart as SVG. It loads CSV data from a GitHub gist, formats numeric values, and applies axis ticks with custom labels. The chart combines a black line path and an orange area path beneath it, with red axis labels and gridlines.

Nnsatyaprakash22

87% match

Loading thumbnail…

Fork of 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. It employs React for component management and D3 v5 for data loading and scale construction, specifically using `d3.csv`, `scaleBand`, and `scaleLinear` to map country names and costs. The code builds custom axes with grid lines and tick labels instead of relying on d3's axis generators. Data is fetched from a GitHub-hosted CSV file.

AAISWARYAMARAPATLA1999

86% match

Loading thumbnail…

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

This visualization displays the basic cost of Netflix in various countries as a horizontal bar chart, rendering twenty data points from a CSV file. It leverages React for component state management and conditional rendering, while D3 v5 functions like `scaleBand`, `scaleLinear`, and `max` handle chart scaling and data aggregation. The SVG output includes axis ticks and labels, with each bar’s length representing the cost value, and uses D3’s `csv` parser to load the remote dataset.

Nnsatyaprakash22

86% 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 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

86% match

Loading thumbnail…

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

This interactive bar chart visualizes the basic cost of Netflix subscriptions across 15 countries, sourced from a CSV file. Built with React and D3 v5, it renders SVG elements, using `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the numeric cost scale. The chart displays horizontal rectangles whose widths encode the cost value, with tick labels for both axes generated manually.

NNikhilchiguru-8

85% 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

85% match