Skip to main content
SimilarExport ZIP
100%

Customizing Axes

✓ Published0🌍 Public
11995ana
Last edited Aug 5, 2020
Created on Aug 5, 2020
Forked from Customizing Axes

A horizontal bar chart shows the population of the ten most populous countries, ordered from largest to smallest. The example customizes D3 axes by removing default domain lines and tick marks on the y-axis, adding grid lines with negative tick sizes on the x-axis, and formatting population labels with a custom tick formatter that converts billions to "B". It uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, d3.axisBottom, and d3.format, rendering population values multiplied by 1,000 as SVG rectangles filled with steelblue.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing axes

This example displays a horizontal bar chart of the ten most populous countries, with population values scaled linearly and countries ordered by rank on a band scale. The visualization customizes both axes by removing their default domain lines and ticking, while formatting population ticks to abbreviate billions as “B” via d3.format. It also applies a tick size that extends grid lines across the chart. The code uses d3.scaleLinear, d3.scaleBand, d3.axisBottom, d3.axisLeft, and d3.csv to load the population data, rendering SVG rectangles with steelblue fill.

ZZhengyan Yu
95% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the populations of the ten most populous countries, with values formatted in billions using axis tick labels. The chart uses d3.csv to load data and d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom to construct scales and axes, while custom axis styling removes domain lines and applies tick sizing. A d3.format call with a custom replace function converts the "G" suffix to "B" for readability.

AAnna Lopez
95% match
Loading thumbnail…

Customizing axes

This example shows a horizontal bar chart of the top 10 most populous countries, using population data loaded 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 custom tick format that abbreviates large numbers (e.g., converting billions to "B") via d3.format. The chart is rendered with SVG using d3.scaleBand for the categorical country labels and d3.scaleLinear for population values. Axis generation relies on d3.axisBottom and d3.axisLeft, with tick size extended across the plot for grid lines, and a title and axis label added as text elements.

AAnita Tse
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart of the ten most populous countries, with populations displayed in billions using a custom tick format. The chart uses d3.scaleLinear and d3.scaleBand to map population values and country names, while d3.axisBottom and d3.axisLeft render the axes. Key customizations include removing domain lines, adding gridlines via tickSize, and appending an axis label. Data is loaded from a CSV file with d3.csv, and the visualization is rendered as SVG with D3 v5.

CChampCham
95% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the population of the ten most populous countries, with each bar's length proportional to the population value. The chart uses custom axes: the y-axis removes domain and tick lines for a cleaner look, while the x-axis formats tick labels using D3's `format` function to abbreviate numbers (e.g., "1.4B"). The code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisBottom`, and `d3.axisLeft` to render the SVG visualization from a CSV data source.

Ttarunjada
95% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the ten most populous countries, with populations scaled in thousands from a CSV file. The chart uses D3 v5 to build linear and band scales and axis generators, then customizes the axes by removing domain lines and default grid lines, adding a rotated x-axis label, and formatting tick labels to abbreviate large numbers (e.g., "1.42B"). The SVG rendering includes a title and styled tick marks, axis labels, and bars in steel blue.

PPioustu
95% match
Loading thumbnail…

Customizing Axes

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values scaled and formatted in billions. It demonstrates customized axes: the y-axis removes its domain and tick lines, while the x-axis uses a tick format that abbreviates numbers (e.g., converting "G" to "B") and includes a translated label. The code uses d3.csv, d3.scaleLinear, d3.scaleBand, d3.axisLeft, and d3.axisBottom, rendering SVG rectangles with a steelblue fill. Data comes from a local data.csv file, processed by multiplying population values by 1,000.

Sshungshung
95% match
Loading thumbnail…

Customizing Axes

A horizontal bar chart displays the population of the ten most populous countries, using CSV data loaded with `d3.csv`. The chart customizes its axes with `d3.axisBottom` and `d3.axisLeft`, applying a `d3.format` tick formatter that converts values from G to B. `d3.scaleLinear` and `d3.scaleBand` position the bars, while gridlines are created by extending x-axis ticks with a negative tick size. The y-axis’s domain and tick lines are removed for a cleaner look.

1123fischer
95% match