Lets make a face with D3.js

100%

Lets make a face with D3.js

✓ Published0🌍 Public

Last edited Oct 22, 2020

Created on Oct 22, 2020

This example displays a bar chart of the world’s most populous countries, using the population data from `data.csv`. The visualization renders a single large rectangle for each country, with the rectangle’s width and height fixed at 300 pixels. The code loads the CSV with `d3.csv`, converts the population values to numbers, and appends SVG `rect` elements using `select('svg')` and `selectAll('rect').data(data).enter().append`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

BBoris97929500

93% match

Loading thumbnail…

Lets make a face with D3.js

This example uses D3.js to render a population bar chart from a CSV file, displaying country names alongside their populations in thousands. The SVG visualization applies scaleLinear to map data values, appending rectangles of fixed width and height for each entry. The code loads the data with d3.csv, converts population values numerically, and binds them to SVG elements. The final rendering produces a simple, static representation of the dataset without interactive features.

BBoris97929500

93% match

Loading thumbnail…

Let's make a face with D3.js

This example shows a horizontal bar chart of the world’s ten most populous countries, using population values from a CSV file. The chart ranks countries by population, with bars rendered as steelblue rectangles on an SVG canvas. The code uses D3 v5’s `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load the data, map population to bar widths, and draw axes. The `render` function appends a group, axes, and rectangles, while CSS styles the visual elements.

RResl411

91% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

Let's make a face with D3.js!

This bar chart displays the populations of the world’s most populous countries, drawn as a horizontal bar chart using D3.js v5. The visualization uses `scaleLinear` for the x-axis and `scaleBand` for the y-axis to map population values to rectangular bars, with axes rendered via `axisLeft` and `axisBottom`. Data is loaded from a CSV file using D3’s `csv` function, and the chart is rendered as SVG elements within a 960×500 canvas.

JJai Aswani

89% match