Bar chart: Customize axis

100%

Bar chart: Customize axis

✓ Published0🌍 Public

Last edited Oct 13, 2019

Created on Oct 13, 2019

This bar chart displays the population of the ten most populated countries using UN 2018 data, with population values scaled by thousands. Horizontal bars are sorted by country name, with axis labels customized through the `axisLeft` and `axisBottom` APIs from d3. The visualization uses `scaleLinear` for the population axis and `scaleBand` for the categorical country axis. All elements are rendered as SVG, with the data loaded asynchronously via `d3.csv`.

AI-generated description

This bar chart shows population of the 10 most populated countries. Data from UN 2018 World Prospects

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries using 2018 UN estimates. The chart uses d3.csv, d3.scaleLinear, and d3.scaleBand to map population values to horizontal bar lengths and country names to vertical positions. Customized axes include a formatted tick label that converts large numbers to abbreviated units, horizontal grid lines, and a labeled x-axis. Each bar is colored according to a value in the data, and the chart includes a title and styled text elements.

IImmaculata-Mary Muoghalu

92% match

Loading thumbnail…

customization axis (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. The axis is customized by removing default tick lines and domain, adding a formatted tick label that converts values to billions, and including a custom axis label and title. Data is loaded from a CSV file using D3’s `csv` function.

YYedrup

92% match

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries in 2019, based on United Nations estimates. The horizontal bars are colored purple, with country names on the y-axis and population values scaled linearly on the x-axis. The example uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom for customizing the chart’s axes. All elements are rendered as SVG within a single page.

Bb-g-h

91% match

Loading thumbnail…

Customizing Axes

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 demonstrates customized D3 axes: the y-axis uses an `axisLeft` with a band scale for country names, while the x-axis uses `axisBottom` with a linear scale and a custom tick format that converts large numbers to abbreviations (e.g., G to B). The `d3.scaleBand` and `d3.scaleLinear` APIs handle positioning, and `d3.csv` loads the data. The SVG render uses `d3.select` and `d3.max` to compute the domain.

CCodeHandLuke

91% match

Loading thumbnail…

Customizing Axes

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 emphasizes axis customization, with large tick labels and styled axis lines. The code uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render the SVG chart. Population values are formatted from the CSV data, and the chart builds on a simpler bar chart example.

Bbart

91% match

Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. It shows how D3 axes can be customized by using `d3.axisLeft` and `d3.axisBottom` with `d3.scaleBand` and `d3.scaleLinear`. The visualization renders in SVG, with styled tick lines and labels, and includes a title and axis label. Data is loaded from a CSV file.

LLittledevil7

91% match

Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the ten most populous countries, using 2018 estimates from the United Nations World Population Prospect. It shows population values on a horizontal linear scale, with country names on a vertical band scale. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the chart. A custom tick formatter converts the population numbers into abbreviated units, replacing 'G' with 'B' for billions. Data is loaded from a CSV file using the `csv` method.

AAnthony-coding

91% match

Loading thumbnail…

Customizing Axes

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 emphasizes axis customization, building on a basic bar chart example. It uses d3.scaleLinear for the x-axis, d3.scaleBand for the y-axis, and d3.csv to load the data. Each bar’s width is proportional to population, with a margin applied via an SVG group element, and the chart is rendered as SVG.

BBoris97929500

91% match