Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published2🌍 Public
SShweta-tech
Last edited Jan 5, 2020
Created on Jan 4, 2020
Forked from React Starter

This example shows a horizontal bar chart ranking the ten most populous countries, with population values scaled to thousands and formatted with abbreviations like "B" for billions. It uses D3 v5 within a React wrapper, reading data from a CSV file and rendering SVG elements. The chart customizes axes using `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, with tick formatting via `d3.format` and grid lines created by negative tick sizes.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, with customized axes and tick formatting. It uses d3.csv to load population data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to render axes. The code removes default domain lines, applies a custom tick formatter that abbreviates numbers (converting 'G' to 'B'), and rotates labels via SVG text elements, all rendered with React-compatible D3 v5 in an SVG container.

Ssherryyx
95% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart ranks the top 10 most populous countries, displaying population sizes along the x-axis with custom tick labels that abbreviate large numbers (e.g., “1.42B” for China). The example uses React with D3 v6, importing `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to load `data.csv`, scale the data, and render SVG axes. It customizes the x-axis tick format via `format('.3s')` and applies styling to axis lines, ticks, and labels through CSS.

Ssravaniboggaram
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The chart customizes both axes by removing domain lines, styling tick labels and lines via CSS, and formatting population numbers with `d3.format` to display abbreviations like "B" for billions. The code uses `d3.scaleLinear` and `d3.scaleBand` for scales, `d3.axisLeft` and `d3.axisBottom` for axes, and renders in SVG with React, loading data from a CSV file.

EEzhil-Kalai
94% match
Loading thumbnail…

Customizing Axes

This example displays a horizontal bar chart of the top 10 most populous countries, with population values formatted in abbreviated units and a custom y-axis label. Built with React and D3.js v5, it uses `d3.csv` to load the data, `scaleLinear` and `scaleBand` to map values, and `axisLeft`, `axisRight`, and `axisBottom` to render axes. Custom tick formatting replaces the default 'G' suffix with 'B' to denote billions, and the SVG rendering includes explicit margin and inner-dimension calculations.

Lloicvdk
94% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries, with populations read from a CSV file and scaled in thousands. It demonstrates customizing both axes: the y-axis removes its domain line and tick marks, while the x-axis uses a tick format to abbreviate large numbers (e.g., converting billions to "B"). The chart uses D3 v5 APIs including `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and `format`, rendering as SVG within a React framework.

Ttrungngonptit
94% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the top 10 most populous countries, with a customized axis that abbreviates large population values (e.g., converting billions to "B") using d3.format. The chart reads from a CSV file and renders as SVG rectangles with steelblue fill. It uses d3.scaleBand and d3.scaleLinear for positioning, along with d3.axisLeft and d3.axisBottom for axes, while stripping default tick lines and domains via selection methods.

AAznaggar
94% match
Loading thumbnail…

Customizing Axis

This example presents a horizontal bar chart of the top 10 most populous countries using data from a CSV file. Customized axes include a formatted population scale that abbreviates numbers with “B” for billions, and grid lines extending across the chart. The code imports specific D3 v5 functions like `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft`, rendering the visualization as SVG within a React framework.

SSchmittYannic
94% match
Loading thumbnail…

customizing Axes

This example visualizes the top 10 most populous countries as a horizontal bar chart, using a linear scale for population and a band scale for country names. It customizes both axes by removing unnecessary lines, adding tick marks across the chart, and formatting population labels with abbreviations like “B” for billions. The code uses D3 v5’s `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format` functions within a React framework, rendering SVG elements and styling them via external CSS.

Ssingularity6033
94% match