Skip to main content
SimilarExport ZIP
100%

Hello VizHub

✓ Published1🌍 Public
Ssanthosh pendyala
Last edited Dec 16, 2019
Created on Dec 15, 2019
Forked from Hello VizHub

This example displays a horizontal bar chart of population data for ten countries, using bar length to represent each nation’s population. The chart is rendered as SVG rectangles, with each bar’s width mapped directly from the numeric population values in the linked CSV file. The visualization is built with D3.js version 5, using the `select` and `csv` functions to load the data and append the rectangles, set against a dark blue background with white bars.

AI-generated description

population bar chart

MIT Licensed

Similar vizzes

Loading thumbnail…

Hello VizHub

This example presents a horizontal bar chart of the populations of the ten most populous countries, using data from a local CSV file. The chart renders as an SVG, with countries listed on the y-axis and population counts on the x-axis. The code employs D3.js v5 functions such as `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. A dark blue background and white bars contrast starkly, while the data is loaded asynchronously and converted to numeric values before being mapped to bar widths.

Ssanthosh pendyala
96% match
Loading thumbnail…

Hello VizHub

This bar chart displays the populations of the ten most populous countries, with horizontal bars representing each nation’s total population in thousands. The visualization loads data from a CSV file using `d3.csv`, scales the values linearly with `scaleLinear` for the x-axis and uses `scaleBand` for the categorical y-axis. It renders SVG rectangles and axes via `axisLeft` and `axisBottom`, with styling applied through external CSS.

VVijay
91% match
Loading thumbnail…

Hello VizHub

This example visualizes population data for the ten most populous countries using a bar chart rendered with SVG. The code loads data from a CSV file and uses D3 v5 scales—`scaleBand` for the x-axis and `scaleLinear` for the y-axis—to map values. It also employs `axisLeft` and `axisBottom` to generate the chart’s axes, while styling is applied via CSS.

Aa-ydobon
91% match
Loading thumbnail…

Hello VizHub

A horizontal bar chart displays the populations of the ten most populous countries from a CSV file, with animated bars that grow in width over two seconds upon load. The visualization uses D3 v5 to parse the data, apply linear and band scales, and render axes with custom tick formatting that abbreviates large numbers using `format('.3s')`. SVG elements are positioned with margins, while the title and axis labels are appended as text. Population values are multiplied by 1000 during data preprocessing.

Ffahmijaafar
90% match
Loading thumbnail…

Hello VizHub

This example displays a horizontal bar chart ranking countries by population, with bars rendered as SVG rectangles and axes labeled using d3.axisBottom and d3.axisLeft. The data is loaded from a CSV file via d3.csv, and populations are formatted with d3.format to convert raw numbers into abbreviated strings like “B” for billions. The chart uses d3.scaleLinear for the x-axis and d3.scaleBand for the y-axis, with margins and tick marks styled via CSS. It demonstrates VizHub’s workflow of combining D3 v5 with ES6 modules.

Vvkanotra
90% match
Loading thumbnail…

Hello VizHub

This bar chart visualizes population data for countries and two additional entries from a CSV file, using an SVG-based rendering approach. The chart employs D3 v5's scaleLinear for the x-axis, scaleBand for the y-axis categories, and axisBottom with a custom tick formatter that converts large numbers into abbreviations like "B" for billions. Bars are appended as SVG rectangles, with margins and axes configured to present the data cleanly. The visualization loads data asynchronously via d3.csv and demonstrates fundamental D3 data-binding and layout patterns.

Sseguritops
89% match
Loading thumbnail…

Hello VizHub

A horizontal bar chart displays population estimates for twelve countries, including China, India, and the United States. Using the D3.js library (v5), the bar lengths correspond to population values, with a linear x-scale and a banded y-scale for country names. Axis ticks are formatted to abbreviate numbers, and grid lines extend across the chart. The SVG rendering pulls its data from a local CSV file, and the visualization is updated dynamically via the `d3.csv` promise chain.

Vvkanotra
89% match
Loading thumbnail…

Hello VizHub

This bar chart visualizes the population of the top 10 most populous countries, using a horizontal layout with country names on the y-axis and population values on the x-axis. It loads data from a local CSV file and renders the visualization with D3 v5, utilizing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart. The SVG-based output includes a title and axis labels, with data transformed by multiplying values with a fixed factor.

Aasimplesinger
89% match