Let's make a face with D3.js!

Let's make a face with D3.js!

This example displays a horizontal bar chart of country populations using D3.js v5, with each bar’s length scaled linearly against population values and countries ordered along a band scale. The SVG rendering relies on `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to compose axes, while data loads from a CSV file via `d3.csv` and populates `rect` elements dynamically.

DDifan Gu

Let's make a face with D3.js!

This example uses D3.js v5 to build a horizontal bar chart from population data for ten countries, with each bar's width proportional to the country's population in thousands. The chart is rendered as SVG, with a linear scale for the x-axis and a band scale for the y-axis, which positions each bar and calculates its height. The code fetches data from a CSV file, multiplies each population value by 1000, and then maps the values to the SVG canvas dimensions.

GGabriel Meireles

Let's make a face with D3.js!

This example displays a horizontal bar chart of country populations, using D3.js v5 APIs such as `select`, `csv`, `scaleLinear`, `scaleBand`, and `max`. The SVG canvas is 960 by 500 pixels, and bars are appended as `rect` elements with heights set by bandwidth and widths scaled to population values loaded from a local `data.csv` file. The chart sorts countries along the y-axis alphabetically, with populations multiplied by 1000 to reflect actual figures.

LLonwabo11

Let's make a face with D3.js!

This example builds an animated bar chart from a CSV of country populations using D3.js v5. It loads the data with `d3.csv`, maps each population value to a linear scale, and renders the bars as SVG rectangles positioned by a band scale. The chart displays the ten most populous countries with bar widths proportional to their populations, showing how straightforward D3’s data-join and scaling APIs are for creating visualizations.

Nnvelden

Let's make a face with D3.js!

This example demonstrates a horizontal bar chart of country populations using D3.js v5, with SVG rendering. The chart displays population data from a CSV file, where each country’s bar width is scaled by population using `d3.scaleLinear`, and the y-axis positions are set via `d3.scaleBand`. It loads data asynchronously with `d3.csv` and appends rectangles to the SVG. The accompanying README includes a linked YouTube tutorial, referencing “Let's make a face!” as the project’s playful title.

Mmdfmk

Let's make a face with D3.js!

A D3.js bar chart visualizes population data from a CSV file, with each country represented by a rectangle. The example demonstrates fundamental DOM manipulation by loading data with `d3.csv`, scaling values with `d3.scaleLinear` and `d3.scaleBand`, and appending SVG `rect` elements. The chart renders horizontally, with bar widths proportional to population values. The code also includes a separate, commented-out smiley face example, but the active visualization focuses solely on the bar chart, displaying five countries with varying population sizes.

Mmariamy

Let's make a face with D3.js!

This example shows a bar chart of country populations using D3.js v5, with each bar representing a country from a CSV file. The visualization renders an SVG with scaled linear and band axes, displaying population data for ten countries. The code imports specific D3 modules like `select`, `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to build the chart. While the title references a smiley face, the actual implementation focuses on fundamental DOM manipulation through data binding and rectangle elements styled with steelblue fill.

Iimoutidi

Lets make a face with D3.js

This D3.js visualization presents a bar chart of global populations for ten countries, with each square bar sized proportionally to its population value from the provided CSV data. The SVG-based example uses D3 v5’s `select` and `csv` methods to load the data and append rectangles measuring 300 by 300 pixels, though the bars are not scaled to the data values. The visualization is static, showing raw population counts processed into thousands, with the SVG canvas set to 960 by 500 pixels.

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