Face

Lets make a face with D3.js

This bar chart displays population data for ten countries, using D3.js v5 to render an SVG visualization. The code employs `d3.csv` to load the dataset, `scaleLinear` and `scaleBand` for the x and y axes, and `axisLeft` and `axisBottom` for axis generation. Population values are multiplied by 1000 and styled with steelblue rectangles via CSS.

BBen McLoughlin

Lets make a face with D3.js

A horizontal bar chart displays population data for ten countries, with bars sized by population value and labeled along the y-axis. The example uses D3 v5’s `csv` loader to parse the data, `scaleLinear` and `scaleBand` to map values to positions, and `axisLeft`/`axisBottom` for axes. Bars are rendered as SVG `rect` elements with a steelblue fill, while the x-axis formats large numbers using `d3.format` with a custom suffix replacement.

FFilippaNathhorst

Let's make a face with D3.js!

This bar chart displays the populations of the ten most populous countries, with a title and axis labels for clarity. The chart is rendered as SVG using D3.js v6. The code imports specific functions like `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` from D3 to construct the scales and axes. Data is loaded from a CSV file, with the population field multiplied by 1000. The styled bars are steel blue, and axis ticks and labels use custom CSS font and color settings.

Yyouri7

Let's make a face with D3.js!

This bar chart visualizes the populations of the ten most populous countries, with each bar paired with a steelblue circle at its end. The example uses D3.js v5 to load CSV data and render an SVG, employing `scaleLinear` for the x-axis, `scalePoint` for the categorical y-axis, and `axisLeft` and `axisBottom` for gridlines and tick labels. The axis tick format converts numbers to billions using D3's `format`.

FFernando Godoy

Lets make a face!

This example shows a horizontal bar chart of population data for ten countries, encoded as SVG rectangles scaled by each country’s population value. The code loads data from `data.csv` and builds the visualization using D3 v5 APIs, including `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. The bars are appended to a translated `<g>` element, with the y-axis labeling countries and the x-axis scaled to the maximum population.

Bbcwein

D3 face

A horizontal bar chart renders population counts from a local CSV file, with countries labeled on the y-axis and bar lengths scaled to population values. The visualization uses D3 v5 and SVG, loading data via `d3.csv` and mapping values with `scaleLinear` and `scaleBand`. Bars are appended as `rect` elements whose widths and heights are computed from the scale domains, creating a simple, direct representation of the dataset.

Ddaniel-matific

Let's make a face with D3.js

This example shows a horizontal bar chart of population data for ten countries, using D3.js v5 with SVG rendering. The chart displays population values on the x-axis and country names on the y-axis, with steel-blue bars sized proportionally. The code uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for axes. The dataset is drawn from the included CSV file, with population values multiplied by 1000.

Ppcbt1125

Fork of Let's Make a Face with D3.js!

This horizontal bar chart displays population figures for ten countries, with each bar’s length scaled linearly from zero to the maximum population. The visualization loads data from a CSV file using `d3.csv`, converts population values to thousands, and renders SVG rectangles with `scaleLinear` and `scaleBand` for positioning. Axes are generated via `d3.axisLeft` and `d3.axisBottom`, while D3 v5’s selection and data-join methods bind the dataset to the graphic.

JJordan Arnold