Skip to main content
SimilarExport ZIP
100%

Customizing axes!

✓ Published1🌍 Public
Aalicjakot
Last edited Apr 14, 2020
Created on Mar 23, 2020

This bar chart displays the population of eight countries in 2020, with countries on the y-axis and population on the x-axis. The visualization uses D3.js v5 to render an SVG, employing a linear scale for population and a band scale for countries. The code customizes the x-axis tick format with a `format` function and removes the y-axis domain and tick lines. Data is loaded from a CSV file, with population values multiplied by 1000. Styling is applied via an external stylesheet.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This horizontal bar chart displays population figures for nine countries using an SVG rendering. The visualization customizes both axes: the y-axis removes domain and tick lines to focus on country labels, while the x-axis formats population values using `format('.3s')` and replaces the suffix "G" with "B". D3 v5 functions including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` construct the scales and axes. The chart reads population data from a CSV file, multiplying each value by 1,000 to represent actual population counts.

LLonwabo11
92% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of ten countries, using horizontal bars ordered by country name. The example demonstrates customizing D3 axes by formatting population ticks with the `format('.3s')` API (abbreviating values like “1.41B”) and removing default axis lines. It also applies gridlines via `tickSize` and uses `scaleLinear` and `scaleBand` for scales. Data loads from a CSV file, and the visualization renders as SVG elements with styles from an external stylesheet.

Ttgrex6
92% match
Loading thumbnail…

Customizing axes

A bar chart displays the population of the ten most populous countries, using horizontal bars scaled linearly by population and sorted by rank. The visualization emphasizes custom axis styling: the y-axis removes its domain line and ticks, while the x-axis uses a custom tick formatter to abbreviate large numbers (e.g., converting billions to 'B') and includes a labeled "Population" axis title. A D3 v7 script loads data from a CSV, applies a band scale for countries and a linear scale for populations, and renders SVG rectangles with margins and gridlines via `axisBottom` and `axisLeft`.

JJuyeonee
91% match
Loading thumbnail…

Customizing Axes

This bar chart shows the ten most populous countries, ordered by population with a linear x-axis and a categorical y-axis. The visualization customizes both axes by removing their domain lines and tick marks, adding a text label for population, and formatting tick labels to abbreviate millions as “B”. Built with D3 v6, it loads data from a CSV, scales values by 1,000 for display, and uses `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to render the SVG.

Iihatelearning
91% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, using D3.js v5 to render SVG. The chart customizes the x-axis to show abbreviated population values in billions by using D3's `scaleLinear`, `scaleBand`, and `axisBottom` with a tick format that replaces "G" with "B". It also removes default axis lines and tick marks on the y-axis, adds a custom axis label, and applies a title. Population data is loaded from a CSV file.

Rratschke
91% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the ten most populous countries, with countries on the y-axis and population counts on the x-axis. Built with D3.js v5, it uses `scaleLinear` and `scaleBand` to map data, and `axisBottom` and `axisLeft` for custom axes. Population values from a CSV file are formatted with abbreviations (e.g., 'B' for billions), and the chart removes default axis lines for a cleaner look. All elements render as SVG.

RRiccardo Pressiani
90% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the ten most populous countries, with countries on the y-axis and population counts on the x-axis. Built with D3.js v5, it uses `scaleLinear` and `scaleBand` to map data, and `axisBottom` and `axisLeft` for custom axes. Population values from a CSV file are formatted with abbreviations (e.g., 'B' for billions), and the chart removes default axis lines for a cleaner look. All elements render as SVG.

RRiccardo Pressiani
90% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the ten most populous countries, with populations formatted in billions using a custom tick formatter. The visualization uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. It customizes both axes by removing domain lines, adding a horizontal grid via `tickSize(-innerHeight)`, and appending axis labels. The chart is rendered with SVG elements and loads data from a CSV file using `d3.csv`.

Bbilalzaghloul
90% match