Skip to main content
SimilarExport ZIP
100%

Let's Make a Face with D3,js!

✓ Published0🌍 Public
Aanant
Last edited Feb 11, 2020
Created on Feb 8, 2020

D3.js maps population statistics onto a playful SVG face, with country data from `data.csv` determining facial features such as eye size and mouth width. The visualization leverages D3’s `csv` loader to parse the population values and renders the resulting face using declarative SVG elements. Written in React and D3 v5, the example demonstrates how to bind external tabular data to visual properties, with the initial face state shown before any user interaction. The SVG canvas is fixed at 960 by 500 pixels, and the face appears immediately after the data loads.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Let's make a face with D3.js

This example uses D3.js v6 to render a simple, expressive face as an SVG graphic. The visualization draws distinct facial features—such as eyes and a mouth—onto a fixed 960×500 canvas, driven entirely by hardcoded SVG attributes rather than external data. The code loads D3’s `select` and `csv` functions, though the included `data.csv` file (containing country populations) is not referenced in the rendering logic. The visual output is static, with no interaction or animation. Styles are minimal, setting the body margin to zero and hiding overflow, while the SVG is sized directly via its width and height attributes.

DDerek2Dai
90% match
Loading thumbnail…

Let's make a face with D3.js!

This example builds an animated smiley face using D3.js, demonstrating fundamental DOM manipulation with SVG elements. It loads population data from a CSV file using `d3.csv` and binds it to rectangles via `data().enter().append('rect')`, though the visual face itself is constructed from SVG shapes. The code uses D3 v5 with `select` and `csv` imports, setting fixed rectangle dimensions of 300×300 pixels. The rendered SVG is 960×500, with the face representing population values for eight countries, though the interactive eyebrow movement hinted in the README is not yet implemented in the visible code.

TTheRoadSign
89% match
Loading thumbnail…

Let's make a face with D3.js!

This example uses D3.js to demonstrate fundamental DOM manipulation and data binding by generating a playful visualization of global population data. The code loads a CSV file containing country population figures and renders them as SVG rectangles using D3’s `select`, `csv`, and `data` joins, with a smiley face motif whose eyebrows animate as a visual accent. The page leverages D3 v5 and direct SVG manipulation within an HTML document, showcasing how shape generation and layout can be driven by external data.

PPiotrekW2
89% match
Loading thumbnail…

Let's make a face with D3.js!

An interactive face built from SVG shapes uses D3.js v5 to map data from `data.csv` into facial features. The `index.js` imports `select` and `arc` from D3, applying the arc generator to create curved elements like eyes and a smile. The visualization responds to the dataset’s values, positioning each facial part based on the loaded numbers. The SVG canvas, sized at 960 by 500 pixels, renders the face with a clean, minimal aesthetic, demonstrating how basic D3 primitives can transform tabular data into a recognizable, playful form.

LLonwabo11
89% match
Loading thumbnail…

Let's make a face with D3.js!

This example demonstrates fundamental DOM manipulation with D3.js by loading population data from a CSV file and rendering each country as a static SVG rectangle. The code uses `d3.csv` to fetch and parse the data, converts population values to numbers, and applies `selectAll` with `enter().append('rect')` to create 300x300 pixel squares. While the title suggests an interactive smiley face with moving eyebrows, the visible script only logs the parsed data and appends rectangles, with no facial features or animation logic implemented.

TTheRoadSign
87% match
Loading thumbnail…

Let's make a face with D3.js

This example visualizes country populations as horizontal bars using D3.js v5 within a React framework, rendering to SVG. The bar chart displays each country’s population on the x-axis and country names on the y-axis, with bar widths scaled linearly via `d3.scaleLinear` and positions set by `d3.scaleBand`. The code loads data from a CSV file, multiplies population values by 10, and appends rectangles to the SVG. The visualization uses `d3.csv` for data loading and `d3.max` to determine the scale domain.

Rrgarimella-viz
87% match
Loading thumbnail…

Let's make a face with D3.js!

A D3.js example demonstrates fundamental DOM manipulation by rendering a smiley face with movable eyebrows, using SVG elements. The code loads population data from a CSV file and appends rectangle shapes to the SVG canvas via `d3.select` and `d3.csv`, though the data is only logged to the console. The visualization relies on D3 v5’s selection and data-binding methods, with the face constructed through chained attribute calls on SVG elements.

Lleothimoteo
86% match
Loading thumbnail…

Let's make a face with D3.js

This example uses D3.js v5 to build an interactive face entirely from SVG elements, with a focus on playful shape composition. The code reads a CSV file of food items and their deliciousness ratings, though the main visualization is a blank canvas ready for facial features. It loads D3 from a CDN and includes a minimal HTML page with a styled SVG container. The implementation relies on D3 selections such as `d3.selectAll("p")` to demonstrate basic DOM manipulation, while the accompanying React starter suggests potential integration with modern frameworks.

IIkuyasu
86% match