Making a Bar Chart

100%

Making a Bar Chart

✓ Published0🌍 Public

Last edited Nov 26, 2018

Created on Nov 26, 2018

This example visualizes the top 10 most populous countries in 2018, with a horizontal bar chart ranking nations from China to Mexico based on population estimates from the United Nations World Population Prospects 2017. The D3 v5 code uses `csv()` to load data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` to render axes as SVG elements. Population values are multiplied by 1000 for accurate representation, with steelblue rectangles drawn using the `selectAll` and `append` methods.

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.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using data from the United Nations World Population Prospects 2019. The chart ranks countries from China to Mexico on a linear population scale, with a band scale for country labels and a grid of horizontal tick lines. Built with D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG rectangles, while formatting population values with `format`. The axis labels and title are styled via external CSS.

MMEHMETHAN YAGCI

95% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The chart uses an SVG rendered with D3 v5, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the `d3` module. Population values from the CSV are converted to numbers and multiplied by 1000 before being mapped to bar widths. The y-axis positions country names, while the x-axis scales population linearly, with steelblue bars and labeled axes.

YYanxiangZhu

95% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries in 2018, using population estimates from the United Nations World Population Prospects 2017. It renders horizontal bars with D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, using `axisLeft` and `axisBottom` for ticks. The data is loaded from a CSV via `d3.csv`, with population values multiplied by 1000. The SVG output uses `g.selectAll('rect')` to draw each bar, styled with a steelblue fill.

IIyke2909

94% match

Loading thumbnail…

Making a Bar Chart

This example presents a horizontal bar chart showing the population of the top 10 most populous countries, based on 2018 estimates from the United Nations World Population Prospects 2017. It uses D3 v5's `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs to map population values and country names to SVG rectangles. Data is loaded from a CSV file and processed by multiplying the population values by 1000. The chart renders entirely as SVG, with bars styled in steelblue, and the code illustrates a basic data-join and margin setup for reusable visualization.

Vvoiletymr

94% 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

94% match

Loading thumbnail…

Making a Bar Chart

This bar chart ranks the top 10 most populous countries by their 2018 population estimates from the United Nations World Population Prospects 2017. It uses D3 v5 with an SVG canvas, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. The code loads data via `csv`, maps population values, and renders steel-blue rectangles with `axisLeft` and `axisBottom` for axis ticks.

Mmellerjakub88

94% match

Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The visualization uses D3 v5 to load CSV data, scale linearly for the x-axis population values, and scale band for the y-axis country categories. The SVG rendering includes axis labels via axisBottom and axisLeft, with rectangular bars filled in steelblue. Data preprocessing multiplies the population values by 1000 to reflect actual counts.

Rrblue36

94% match

Loading thumbnail…

Making a Bar Chart

This bar chart displays the top 10 most populous countries using 2018 population estimates from the United Nations World Population Prospects. The D3 v5 code loads CSV data, converts population values to absolute numbers, and renders an SVG with linear and band scales. It customizes axes by removing domain lines, applying a tick format that abbreviates large numbers (e.g., ’G’ to ’B’), and adding an axis label. The visualization uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`.

JJaohar Kehinde Oseni

94% match