Skip to main content
SimilarExport ZIP
100%

Making a Bar Chart

✓ Published1🌍 Public
RRoger Yu-Hsiang Lo
Last edited Jan 23, 2020
Created on Jan 23, 2020

This example displays a bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The SVG render uses d3.csv to load the data, then d3.scaleLinear and d3.scaleBand to map values, with d3.axisLeft and d3.axisBottom for tick marks.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values along the x-axis and country names along the y-axis. Using D3 v5, it loads data from an external CSV file and renders SVG rectangles via `selectAll('rect').data(data).enter()`. The scales are built with `scaleLinear` and `scaleBand`, while axes are generated with `axisLeft` and `axisBottom`. Population numbers are formatted using `format('.3s')` with “B” replacing “G” for billions.

Wwukangqian
94% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the ten most populous countries, with country names on the y-axis and population on the x-axis. The bars are rendered as SVG rectangles, filled with steelblue. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand to map values to coordinates, and d3.axisLeft and d3.axisBottom to draw the axes. The population values are parsed and multiplied by 1,000.

Rrainyrainyguo
93% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 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 with custom tick formatting. The bars are drawn as SVG rectangles with a steelblue fill, and the chart includes a title and axis labels.

BBaraneedharan N M
93% match
Loading thumbnail…

Making a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, using population figures from a CSV file. The bars are rendered as SVG rectangles, with a linear scale mapping population to bar width and a band scale positioning countries along the vertical axis. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, with a custom tick formatter that converts values from billions to a readable format. Axis labels and a chart title are added via SVG text elements.

RRafael Campos
93% match
Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart ranking the populations of the top 10 most populous countries, with a linear scale for population values and a band scale for country names. The visualization uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for positioning, and d3.axisLeft and d3.axisBottom with custom tick formatting for labels. The chart renders to SVG with margin-based layout, includes gridlines from the x-axis, and applies a custom title and axis labels.

Llujinxuan-fang
93% match
Loading thumbnail…

Making a Bar Chart

This example displays a horizontal bar chart of the top 10 most populous countries, with population values formatted in billions. The chart uses D3 v5 APIs including `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom` to render an SVG. Data from `data.csv` is loaded and multiplied by 1000 to represent actual population counts. The visualization includes a titled axis label and removes default axis lines for a cleaner presentation.

Jjulieducasse
93% match
Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries, with each bar labeled by its population value in billions. The chart uses d3.csv to load the data, then d3.scaleBand and d3.scaleLinear to position bars and axes. It renders via SVG, with d3.axisBottom and d3.axisLeft for the axes, and includes a horizontal line marking the 1.15 billion population threshold. The code also applies custom tick formatting and removes default axis domains.

AArthur Welf
93% match
Loading thumbnail…

Making a Bar Chart with D3.js and SVG

This example shows the top 10 most populous countries using horizontal bars, with country names on the y-axis and population figures on the x-axis. It renders to an SVG canvas using D3.js v5 and loads its dataset from a CSV file containing population values. The code uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to generate the axes. Bar height comes from the band scale's `bandwidth()`, while a `d3.format` helper abbreviates large population numbers.

Ooptimizeresume
93% match