D3 Starter - making bar chart

100%

D3 Starter - making bar chart

✓ Published1🌍 Public

Last edited Mar 26, 2021

Created on Mar 18, 2021

This bar chart displays the population of the top 10 most populous countries, using 2019 estimates from the United Nations World Population Prospects. The chart encodes population on a linear x-axis and country names on a banded y-axis, with steel-blue rectangles representing each value. The visualization is built with D3 v5, using `d3.csv` to load the data, `d3.scaleLinear` and `d3.scaleBand` for scales, and `d3.axisLeft` and `d3.axisBottom` for axes. The population values are converted from strings to numbers and multiplied by 1000 before rendering.

AI-generated description

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

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the top 10 most populous countries based on 2019 estimates from the United Nations’ World Population Prospects. It shows population values on the x-axis and country names on the y-axis, with steel-blue bars sorted by descending population. Using D3 v5, the code employs `scaleLinear` and `scaleBand` for axes, `axisLeft` and `axisBottom` for ticks, and `format` to abbreviate large numbers (e.g., “1.43B”). Population data is loaded from a CSV file and scaled by 1,000. The chart is rendered as SVG with margins, axis labels, and a title.

GGeolffrey S Mena

93% 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. 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

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart visualizes the population of the top 10 most populous countries, using 2019 estimates from the United Nations World Population Prospectus. The chart displays population on a linear scale along the x-axis and country names on a band scale along the y-axis, with each bar colored steel blue. Built with D3 v5, it uses `d3.csv` to load data, `scaleLinear` and `scaleBand` for scaling, and `axisLeft` and `axisBottom` for labeled axes. The SVG rendering includes margin-based layout and implied padding between bars.

SShawn Kearney

93% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the populations of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects. It shows how D3 v5’s `scaleLinear` and `scaleBand` map population values to bar widths and country names to vertical positions, respectively. The chart renders as SVG rectangles with a steelblue fill, and axis customization is demonstrated through the use of `d3.axisBottom` and `d3.axisLeft`. Population data, stored in a CSV and loaded via `d3.csv`, is multiplied by 1000 for accuracy.

Nnvelden

93% match

Loading thumbnail…

d3 Starter bar chart

This bar chart displays the population estimates of the top 10 most populous countries, based on 2018 data from the United Nations World Population Prospects 2017. The visualization uses D3.js (v5) to load a CSV file and render SVG rectangles. It employs `scaleLinear` for the population axis and `scaleBand` for the country categories, with axes generated via `axisLeft` and `axisBottom`. The code applies the margin convention to position the chart and uses a data join with `selectAll` and `enter` to create the bars.

GgitSushi

93% 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 map country names to the y-axis via `scaleBand` and population values to the x-axis via `scaleLinear`, rendering the data as steel-blue SVG rectangles. Axes are added using `axisLeft` and `axisBottom`, with a maximum value computed by `max`. The data is loaded from a local CSV file, and population figures are converted from thousands to absolute numbers.

Ddanrhymes

93% 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 v6 with SVG rendering, employing `d3.csv` to load data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` for the axes. Bars are drawn as SVG rectangles whose widths are proportional to population values, with a steelblue fill and a left margin accommodating country labels.

Jjwu534@gmail.com

92% 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 sorts countries along the y-axis with population values on the x-axis, rendered as steelblue bars in an SVG canvas. The visualization is built with D3 v5, employing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the d3 module to construct scales and axes. Data is loaded from a CSV file using `csv` and processed by multiplying population values by 1000.

Ssrrajendran

92% match