Skip to main content
SimilarExport ZIP
100%

Grouped Bar Chart

✓ Published0🌍 Public
FfaRriaN
Last edited Apr 22, 2020
Created on Apr 22, 2020

This grouped bar chart displays population data across multiple categories, with each group of bars representing a different region or time period. The visualization uses D3.js v5 to render the chart as SVG elements, employing `d3.scaleBand` for positioning the grouped bars and `d3.scaleLinear` for the y-axis. A legend identifies each bar’s category, while axes are formatted using `d3.axisBottom` and `d3.axisLeft`. The chart also demonstrates dynamic data handling through `d3.csvParse` with auto-typing.

AI-generated description

Demonstrates fundamental DOM manipulation using D3.js by making a smiley face whose eyebrows move.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart shows the population distribution across age groups (from 0-4 to 95+ years) for a given population. Using D3.js version 5, it employs `d3.scaleLinear` and `d3.scaleBand` to map population values and age categories to the x and y axes, respectively. The SVG includes axes via `d3.axisLeft` and `d3.axisBottom`, with bars rendered as `rect` elements filled in steel blue. The data is loaded from a CSV file containing country and population columns.

Ttkreglhn
83% match
Loading thumbnail…

Grouped Bar Chart

A grouped bar chart displays population percentages across four age groups for five San Francisco districts, with each district’s bars colored by age category and a legend identifying them. The visualization loads data from a CSV file using d3.csv, then applies d3.scale.ordinal for x-position and color encoding, d3.scale.linear for the y-axis, and d3.svg.axis to render axes with SI-prefix formatting via d3.format. Bars are drawn as SVG rectangles, with heights computed from the parsed numeric values.

LLjfernando
83% match
Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of population data for ten countries, using scaled bar widths to represent each country’s population in thousands. The visualization is built with D3 v5, using `d3.csv` to load the data, `d3.scaleLinear` for the x-axis, and `d3.scaleBand` for the y-axis categories. SVG rectangles are appended to a grouped `<g>` element with margins, and the population values are parsed and multiplied by 1000 before rendering. The chart displays the data directly without axes or labels, focusing on the bar lengths.

DDmytro Tyshchenko
82% match
Loading thumbnail…

bar

A horizontal bar chart displays population counts for six countries, with bars scaled linearly and labeled by country name. The visualization loads data from a CSV file and renders it as SVG rectangles with steelblue fill. Built with D3 v5, it uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, appending axes and bars to a grouped SVG element within a 960×500 viewport.

HHillKinsh
82% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays population figures for 18 countries, with each bar’s length representing population in thousands and countries ordered along the vertical axis. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map data to pixel coordinates, while `axisLeft` and `axisBottom` generate the labeled axes. Population data is loaded from a CSV file via `d3.csv`, and rectangles are appended to an SVG canvas, styled with a purple fill. The chart’s margins and inner dimensions are computed dynamically from the SVG’s width and height attributes.

Yyktan89
82% match
Loading thumbnail…

Bar Chart

This bar chart visualizes population data for several countries, sourced from a CSV file, with D3.js v5 and SVG rendering. It uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, which is formatted to display billions. The chart features horizontal grid lines and steel-blue bars, with a flipped y-axis to grow bars upward.

Zzhued
82% match
Loading thumbnail…

Making a bar chart

This example shows a horizontal bar chart of population by country, using SVG rectangles to encode values. The chart arranges countries along a band scale (d3.scaleBand) and maps populations to a linear scale (d3.scaleLinear), with axes generated via d3.axisLeft and d3.axisBottom. Data is loaded from a CSV using d3.csv, and the code explicitly sets dimensions and margins. The visualization demonstrates reusable D3 v5 API patterns such as select, max, and scaleBand’s padding, with styling applied through CSS.

Kkatrinrodkina
82% match
Loading thumbnail…

Making a Bar chart using D3.js

This example shows a horizontal bar chart of country populations using D3.js v5, with each bar’s length scaled linearly to the population value and country names on the y-axis. The SVG rendering uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the categorical y-axis, and `d3.axisBottom` and `d3.axisLeft` to draw the axes. Data is loaded asynchronously from a CSV file, with population values converted from thousands to raw counts. Bars are appended as `rect` elements and styled with steelblue fill via CSS.

NNitin Vadhiya
82% match