Skip to main content
SimilarExport ZIP
100%

Custom Axes

✓ Published1🌍 Public
JJoshuaBruens
Last edited Feb 17, 2020
Created on Feb 17, 2020
Forked from Bar Chart

Animated bar chart displays the top 10 most populous countries using a CSV data source. Population values are formatted in billions with a custom tick formatter, while the y-axis removes gridlines and domain lines for a cleaner look. The visualization uses React with D3 v5 features including `scaleLinear`, `scaleBand`, `axisBottom`, `axisLeft`, and transitions on SVG rectangles.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axes

A bar chart displays the top 10 most populous countries from a CSV file, with population on the x-axis and country names on the y-axis. Custom axes hide domain lines and use a tick size that extends gridlines across the chart, while formatting tick labels with D3's `format` to abbreviate values and replace 'G' with 'B'. The code uses `d3.csv`, `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` within an SVG rendered in a React setup.

CConnor Trump
92% match
Loading thumbnail…

Customizing Axes

This example shows the top 10 most populous countries as a bar chart, with the x-axis customized to format population values in billions using `d3.format('.3s')`. The chart uses a linear x-scale and a band y-scale, with axes rendered via `d3.axisBottom` and `d3.axisLeft`. Y-axis tick lines and domains are removed, while the x-axis includes a tick-line grid extending across the plot. Data comes from a CSV file, and the visualization is rendered as SVG using D3 v5 within a React framework.

BBat-Erdene
92% match
Loading thumbnail…

Customising Axes

This example displays a horizontal bar chart of the top 10 most populous countries, with populations from a CSV file. It customizes the axes by removing domain lines and tick lines from the y-axis, while the x-axis uses a tick format that abbreviates large numbers and converts 'G' to 'B'. The code uses d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format within a React framework, rendering to SVG. The chart also includes axis labels and a title, with a steelblue fill for bars.

JJoseph Popoola
92% match
Loading thumbnail…

Customizing axes

A bar chart displays the population of the top ten most populous countries, with axes customized for clarity. The horizontal axis uses a linear scale with tick labels formatted via `d3.format` to abbreviate large numbers (e.g., "1.42B"), while the vertical axis lists country names without tick lines or domain paths. The chart uses `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` within an SVG rendered in a React framework, loading data from a CSV file.

JJaKokosz
91% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the top 10 most populous countries from a CSV dataset. The chart customizes both axes, removing default domain lines and tick marks on the y-axis while applying a custom tick formatter that converts values like "1.41G" to "1.41B" on the x-axis. Built with React and D3 v5, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG bars with gridlines and axis labels.

JJeffrey Miiller
91% match
Loading thumbnail…

Customizing Axes

This visualization displays the populations of the ten most populous countries as horizontal bars, demonstrating customized axes in D3 v6 within a React framework. It uses `d3.scaleLinear` and `d3.scaleBand` to position bars, while `d3.axisBottom` and `d3.axisLeft` render the axes. The bottom axis applies a custom tick format via `d3.format` (converting billions to "B"), and both axes have their domain lines and ticks partially removed for a cleaner look. Data comes from an external CSV file loaded with `d3.csv`.

Uujjwalgarad
91% 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
91% match
Loading thumbnail…

Customizing Axes

This bar chart displays the top 10 most populous countries using population data from a CSV file. The visualization customizes both axes by removing default domain lines and tick lines for the categorical y-axis, while adding grid lines and formatted tick labels for the numerical x-axis. Built with D3 v5, the code uses `d3.csv`, `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to render the SVG chart, with axis tick formatting via `d3.format`.

JJordan Arnold
91% match