Making a Bar Chart

100%

Making a Bar Chart

✓ Published1🌍 Public

Last edited Mar 2, 2020

Created on Mar 2, 2020

This bar chart displays the population of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate, with each bar’s length scaled by population and countries listed on the y-axis. The visualization uses D3 v5’s `csv` loader to parse the data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with custom tick formatting (e.g., converting billions to "B") and a population axis label. It renders to SVG, with a title, removed axis domain lines, and steelblue bars.

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 using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v5’s `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` and `axisLeft` to render ticks, with tick labels formatted in billions (e.g., "1.42B"). The SVG rendering includes custom styling for grid lines, axis labels, and a title. Data is loaded asynchronously from a CSV file using `d3.csv`, with population values converted from strings to numbers.

WWarren-Fitzhenry

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 visualization uses D3 v5 with an SVG rendering, employing `scaleLinear` and `scaleBand` for axes, with `axisBottom` and `axisLeft` to generate customized ticks and gridlines. Population values are read from a CSV file, multiplied by 1000, and bars are drawn as `rect` elements with a steelblue fill, while a custom tick formatter converts large numbers to abbreviated notation.

Rrkagiri

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 populations of the top 10 most populous countries, using data from the United Nations’ 2018 World Population Prospects estimate. The chart uses D3 v5’s `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG bars, with a custom tick format that abbreviates large numbers and removes grid lines. The y-axis labels are the country names, and the title and axis label are added via SVG text elements. Population values are parsed from a CSV file and multiplied by 1,000 before scaling.

BBraja Gopal Das

96% match

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. It shows population values on a linear scale and country names on a band scale, with customized axes that remove domain lines and format tick labels using D3’s `format`. The visualization is built with D3 v5, rendering SVG elements via `d3.select`, `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`. Data is loaded from a CSV file, with population values multiplied by 1000 for accurate representation.

Yyakupermurat

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 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, using 2018 estimates from the United Nations World Population Prospects 2017. The visualization uses D3 v5 scales, axes, and SVG rendering, with a linear scale for population and a band scale for countries. The code imports specific D3 functions including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, and customizes the x-axis tick format using the `format` helper to abbreviate numbers with suffixes. Data is loaded from a local CSV file, and the chart includes a title and axis label.

KKelsey Law

96% match