Skip to main content
SimilarExport ZIP
100%

Customizing Axis

✓ Published0🌍 Public
SSophia Murage
Last edited Apr 14, 2020
Created on Apr 14, 2020
Forked from Customizing Axis

This example demonstrates a horizontal bar chart of population data for selected countries, with customized axis formatting. The visualization uses a linear scale for population values and a band scale for country names, rendering bars as SVG rectangles filled with steelblue. It customizes the x-axis tick labels using `d3.format` to abbreviate large numbers with SI prefixes, while the y-axis displays country names. Data is loaded from a CSV file using `d3.csv`, and the chart layout applies explicit margins and padding.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axis

This example demonstrates a horizontal bar chart of population data for selected countries, with customized axis formatting. The visualization uses a linear scale for population values and a band scale for country names, rendering bars as SVG rectangles filled with steelblue. It customizes the x-axis tick labels using `d3.format` to abbreviate large numbers with SI prefixes, while the y-axis displays country names. Data is loaded from a CSV file using `d3.csv`, and the chart layout applies explicit margins and padding.

SSophia Murage
100% match
Loading thumbnail…

Customizing Axis

This example shows a horizontal bar chart of population data for ten countries, with a customized axis layout using margins to position the labels and tick marks. The visualization uses D3 v5 with an SVG rendering approach, importing `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` from the D3 library. Population values from the CSV file are multiplied by 1000 before being mapped to the x-axis scale, while country names are mapped to the y-axis band scale. The chart displays the data as steelblue rectangles, with the bottom axis explicitly translated to the inner chart height.

RRenato Francia Castillo
94% match
Loading thumbnail…

Customizing Axis (own)

This example shows a horizontal bar chart of country populations using D3 v5, with a custom-styled y-axis and numeric labels for each bar. The chart loads population data from a CSV file, scales the values to a linear x-axis and a banded y-axis, and renders filled steel-blue rectangles via SVG. It uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with margins and a translated group element to position the axes and bars.

JJustinS1209
93% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays population data for 27 countries, with bars extending from a linear scale and country names on a band scale. The example demonstrates customizing axes by applying D3’s `axisLeft` and `axisBottom` within a margin-based layout, using `scaleLinear` and `scaleBand` from D3 v6. Data is loaded from a CSV file via `d3.csv`, with population values multiplied by 1000. The SVG rendering uses steelblue rectangles, with axis text styled via CSS at 1.4em.

HHan Jinseok
92% match
Loading thumbnail…

Customizing Axis

This example demonstrates how to customize axis formatting in a bar chart, showing male population figures for various countries. The horizontal axis uses a linear scale with tick labels formatted in scientific notation via `d3.format`. A band scale positions the categorical country labels vertically, with an axis generated by `d3.axisLeft`. The chart renders as SVG, drawing steel-blue rectangles scaled by population values from the CSV data. The code imports specific D3 v5 modules including `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`.

Rrix007
92% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of population data for ten countries, with customized axes. The y-axis displays country names using a band scale, while the x-axis uses a linear scale with tick labels formatted in abbreviated units (e.g., “1.42B”) via d3.format and a custom replace function. The chart is rendered as SVG using d3-scale, d3-axis, and d3-selection, with data loaded from a CSV file and styled through external CSS.

MMarrnj2
92% match
Loading thumbnail…

customizing Axis

This example presents a horizontal bar chart ranking the world’s most populous countries, with population values on the x-axis and country names on the y-axis. The code uses `d3.csv` to load the data and `scaleLinear` and `scaleBand` for positioning. Axis customization is central: the x-axis uses a custom tick formatter to abbreviate large numbers, while the y-axis removes its domain and tick lines. The chart is rendered as SVG, with grid lines drawn via `tickSize` and formatted using `d3.format`.

Aaidanoconnor1
92% match
Loading thumbnail…

Customizing Axis

This bar chart displays population sizes for a list of countries, using a linear scale for the x-axis and a band scale for the y-axis. The visualization is rendered as SVG using D3 v5, with axes customized via `axisLeft` and `axisBottom`. Country names appear on the vertical axis while horizontal bars show population values, with data loaded from a CSV file and scaled by a factor of one thousand.

JJustin Gieselbach
92% match