Skip to main content
SimilarExport ZIP
100%

Making a Bar Chart

✓ Published1🌍 Public
IIsmaelHernandezL
Last edited Dec 28, 2019
Created on Dec 28, 2019

This bar chart displays the populations of ten of the most populous countries using data estimated from the 2017 United World Population Prospects. The visualization uses d3.v5 to construct a horizontal bar chart, with population values on a linear scale and country names on a categorical band scale. The SVG rendering includes axes generated with `axisLeft` and `axisBottom`, while rectangular bars are appended to the chart with widths proportional to each country's population. The data is loaded from a CSV file and multiplied by 1000 to reflect actual population figures.

AI-generated description

This bar chart shows populations of 10 the most populous countries. The data comes from the year 2018 estimate in [United World Population Prospects 2017] (https://esa.un.org/unpd/wpp/Download/Standard/Population/).

MIT Licensed

Similar vizzes

Loading thumbnail…

Making A Bar Chart

This bar chart displays the population of the ten most populous countries, using 2019 estimates from the United Nations World Population Prospects. The visualization encodes population on the horizontal axis with a linear scale and country names on the vertical axis using a band scale. It is rendered as SVG, with axes generated via `axisLeft` and `axisBottom`, and bars drawn as rectangles whose widths map to the population values. The data is loaded asynchronously from an external CSV file using `d3.csv`.

EecoBela
95% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using data from the United Nations World Population Prospects 2017. The chart renders as SVG, with horizontal bars ordered by country name along the y-axis and population counts on the x-axis. The visualization is built with D3 v5, utilizing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to position the bars and axes. Population values are read from a local CSV file and scaled by a thousand before being mapped to bar widths.

AAnna Lopez
95% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, based on 2018 United Nations estimates from the World Population Prospects. The data, loaded from a CSV file, is scaled using d3.scaleLinear for the horizontal axis and d3.scaleBand for the categorical vertical axis. The chart renders as SVG rectangles, with population values parsed from strings to numbers and multiplied by 1,000 before being mapped to bar widths. The visualization uses D3 v5, focusing on a clean, margin-less layout within a 960×500 SVG canvas.

Cchristoshanes
94% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, based on 2018 United Nations estimates from the World Population Prospects. The data, loaded from a CSV file, is scaled using d3.scaleLinear for the horizontal axis and d3.scaleBand for the categorical vertical axis. The chart renders as SVG rectangles, with population values parsed from strings to numbers and multiplied by 1,000 before being mapped to bar widths. The visualization uses D3 v5, focusing on a clean, margin-less layout within a 960×500 SVG canvas.

Cchristoshanes
94% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The visualization pairs a linear scale for population values with a band scale for country names, rendering horizontal bars in SVG. Built with D3 v5, the code uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to draw the axes. Population figures are multiplied by 1000 to reflect actual counts.

JJack Middlebrook
94% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2019 estimates from the United Nations World Population Prospects. The chart renders as an SVG, with countries on the vertical axis and population values on the horizontal axis. It is built with D3 v5, using `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and `d3.axisLeft` and `d3.axisBottom` to draw the axes. Data is loaded from a CSV file and parsed with `d3.csv`, with population values multiplied by 1,000 to reflect actual figures.

Kkiyahw1
94% match
Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart renders countries on the y-axis and population values on the x-axis, with bars scaled linearly via `d3.scaleLinear` and positioned using `d3.scaleBand`. Data is loaded from a CSV file with `d3.csv`, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. The visualization is built with D3 v5 and rendered as SVG elements.

Cchrismdiaz
94% match
Loading thumbnail…

Making a Bar Chart

This example presents a bar chart of the populations of the ten most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The chart shows each country labeled on the y-axis and the population value on the x-axis. The visualization is built with D3 v5, using `select` to target the SVG, `csv` to load data, `scaleLinear` and `scaleBand` for axes, and `axisLeft` and `axisBottom` to render them. The bars are drawn as SVG rectangles, and the data is scaled by a factor of one thousand.

UUtkarsha Kapoor
94% match