Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Jan 25, 2022

Created on Jan 25, 2022

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.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

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. Using D3 v5, the visualization employs `scaleLinear` and `scaleBand` to map population values and country names, with `axisLeft` and `axisBottom` rendering the axes. The SVG bars are generated from data loaded via `d3.csv`, with population values converted to thousands. The chart highlights relative population sizes across nations, presenting the data in ascending order along the y-axis.

FFulcrumTec

98% 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

97% 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 population values and country names to SVG rectangles, with `axisLeft` and `axisBottom` rendering the axes. Data is loaded from a CSV file, with population values multiplied by 1000. The chart highlights axis customization through margin adjustments and a styled steelblue fill for the bars.

JJanet Chen

97% 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

97% 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.js v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis to position bars. The code implements axes with `axisLeft` and `axisBottom`, and loads data from a CSV file via `d3.csv`. Rectangles are appended to an SVG group using a margin convention, with populations converted from thousands to absolute numbers.

Mmargaretgoode

97% 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.js v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis to position bars. The code implements axes with `axisLeft` and `axisBottom`, and loads data from a CSV file via `d3.csv`. Rectangles are appended to an SVG group using a margin convention, with populations converted from thousands to absolute numbers.

Mmargaretgoode

97% 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

97% 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

97% match