Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Jul 2, 2021

Created on Jun 29, 2021

This visualization displays the population of the top 10 most populous countries, based on 2020 estimates from the United Nations World Population Prospects. A bar chart uses horizontal bars with linear scaling for population values and band scaling for country names. The chart is rendered as SVG using D3 v7, with axes generated via `axisLeft` and `axisBottom`. Population data is loaded from a CSV file and parsed using the `csv` method.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2020 estimate in United Nations thisWorld Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2017. The visualization maps population values to horizontal bar widths using `d3.scaleLinear`, while country names are positioned on a categorical `d3.scaleBand` axis. The chart renders as SVG, with axes created via `d3.axisLeft` and `d3.axisBottom`, and data loaded from a CSV file using `d3.csv`.

DDaniel Piqué

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5’s `scaleLinear` and `scaleBand` to map populations and country names to the SVG canvas, with axes drawn via `axisLeft` and `axisBottom`. The chart’s bars are rendered as SVG rectangles, styled with CSS. Population values are loaded from a local CSV file and multiplied by 1,000 before rendering.

CCL

96% match

Loading thumbnail…

Making a Bar Chart

This example visualizes the population of the top 10 most populous countries using a horizontal bar chart, based on 2018 estimates from the United Nations World Population Prospects. The chart uses D3 v6 with SVG rendering, employing `scaleLinear` and `scaleBand` for the x and y scales, respectively, and customizing the axes with `axisLeft` and `axisBottom`. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands to absolute numbers before rendering.

Yyycgrace

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with an SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. Data is loaded from a CSV file and multiplied by 1000 to represent actual population counts. The chart includes axes generated by `axisLeft` and `axisBottom`, with black rectangles representing each country’s population.

BBaodi

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 with an SVG rendering, employing `d3.scaleLinear` for the x-axis and `d3.scaleBand` for the categorical y-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, and axes are generated with `d3.axisLeft` and `d3.axisBottom`. Rectangles are appended and sized to represent each country’s population in thousands.

Jjacobs-splunk

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load CSV data, scale linearly for population values, and scale band for country categories. SVG rectangles are rendered with axes generated by d3.axisLeft and d3.axisBottom, with the data formatted by multiplying each population value by 1,000.

Zzren2

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries using 2018 data from the United Nations World Population Prospects. The chart uses D3 v5 with SVG rendering, employing `scaleLinear` and `scaleBand` for positioning, and customizes the axes with `axisLeft` and `axisBottom`. Population values are loaded from a CSV file and formatted with a custom tick format that abbreviates large numbers. The visualization also includes axis labels and a title, with gridlines created through the x-axis tick size.

PPhilippe Rigovanov

96% match

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

96% match