Let's make a face with D3.js!

Let's make a face with D3.js!

This example renders a horizontal bar chart from population data in data.csv, using d3.scaleBand to map country names to y-axis positions and d3.scaleLinear to map population counts to bar widths. The code loads data with d3.csv, converts the population values to thousands, and appends SVG rect elements within a fixed 960×500 viewport. Although the title promises a face, the visible implementation only draws bars, with console logging showing the scale domain and raw data.

PPatrick White

Let's make a face with D3.js

This example displays a horizontal bar chart of country populations using D3.js, with bars rendered as SVG rectangles. The chart scales bar widths linearly against population values and positions them along a band scale for country names. The code imports specific D3 modules (`select`, `csv`, `scaleLinear`, `max`, `scaleBand`) to load data from a CSV file, parse population numbers, and bind the data to rectangle elements. Each bar’s height is set by the band scale’s bandwidth, creating a simple, clean visualization of comparative country sizes.

PpilafGB62

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!

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 visualizes a population bar chart using D3.js, drawing each country as a rectangle scaled by its population data from a CSV file. It uses `d3.csv` to load the data, `d3.scaleLinear` and `d3.scaleBand` for positioning, and `d3.axisLeft` and `d3.axisBottom` to render axes. Bars are appended as SVG rectangles in steel blue, with all rendering handled in the browser via SVG.

Bbenroston

Let's make a face with D3.js!

This example demonstrates a horizontal bar chart of country populations using D3 version 6, rendered as SVG. It loads data from a CSV file, scales the population values with `scaleLinear` and maps country names via `scaleBand`, then draws rectangles for each bar. The chart includes axes created with `axisBottom` and `axisLeft`, custom tick formatting using `format` to abbreviate large numbers, and styling from an external CSS file.

LLidiamir

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!

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