Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Nov 5, 2020

Created on Nov 5, 2020

This bar chart shows the population of the top 10 most populous countries in 2018, using data from the United Nations’ World Population Prospects 2017. It demonstrates D3 axis customization by removing default domain lines, styling tick lines, and adding a custom axis label. The code uses `d3.csv` to load data, `d3.scaleLinear` for the population axis, `d3.scaleBand` for country categories, and `d3.axisLeft` and `d3.axisBottom` to render the axes as SVG elements with a custom tick format converting billions to a shorter notation.

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 code demonstrates customizing D3 axes using `d3.axisBottom` and `d3.axisLeft`, with tick formatting via `d3.format` to abbreviate large numbers. It loads data from a CSV file with `d3.csv`, scales bars with `d3.scaleLinear` and `d3.scaleBand`, and renders the chart as SVG. The chart includes a title, axis labels, and grid lines, all styled with steelblue bars.

YYIN Wanxuan

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 top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates how to customize D3 axes, including a custom tick format that abbreviates large numbers with the `format('.3s')` method and replaces 'G' with 'B'. The visualization uses `d3.csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` to render the axes. The chart is rendered as SVG with steelblue bars and labeled axes.

MMargaret Yao

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. It demonstrates D3 axis customization, including formatted tick labels that convert large numbers to abbreviations and styled gridlines. The code uses d3.csv to load data, scaleLinear and scaleBand for scales, and axisLeft and axisBottom for axes. Bars are rendered as SVG rectangles, with a title and axis label added via text elements.

MMithun Ghosh

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart shows the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. Built with D3 v5, it renders an SVG and demonstrates customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a tick formatter to abbreviate numbers (e.g., converting billions) and includes a labeled axis title. Data is loaded from a CSV and scaled using `d3.scaleLinear` and `d3.scaleBand`, with axes created via `d3.axisLeft` and `d3.axisBottom`.

SStephen Freeman

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart shows the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It demonstrates custom axis styling and tick formatting with `scaleLinear` for the population axis and `scaleBand` for country categories. The code uses D3 v5’s `csv` loader to read data from `data.csv`, and the SVG is rendered with `axisBottom` and `axisLeft` guides, with tick marks extended across the plot area. The chart also adds custom labels and a title via SVG text elements.

MMinuraSilva

96% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the population of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects 2017. The visualization highlights population values on a linear scale for the x-axis, with country names on a band scale for the y-axis. The code uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to render axes. Custom tick formatting converts large numbers to abbreviated units, and the chart is rendered as an SVG with styled rectangles.

JJeremy Liu

95% 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. The visualization uses D3 v5 with SVG rendering, featuring a linear scale for population values and a band scale for country names. The code demonstrates custom axis configuration through `axisLeft` for the categorical country labels and `axisBottom` for the quantitative population scale, with data loaded from a CSV file using D3’s `csv` method.

Ccharliemok

95% match