Skip to main content
SimilarExport ZIP
100%

Bar Chart - Axis Customization

✓ Published1🌍 Public
AAngus Hon
Last edited Sep 7, 2019
Created on Aug 31, 2019
Forked from Bar Chart

This bar chart displays the world’s top ten most populous countries, with population values scaled in thousands from a local CSV file. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map populations and country names to SVG rectangles. Axis customization is a key feature: the x-axis uses a custom tick formatter to abbreviate large numbers with `format('.3s')` and replaces 'G' with 'B', while the y-axis removes its domain and tick lines. Both axes employ `axisBottom` and `axisLeft`, with x-axis tick lines extended across the plot using a negative tick size.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Customizing Axis

This bar chart displays the top ten most populous countries, with population values shown on a horizontal axis and country names on a vertical axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the population scale and `scaleBand` for country categories. Axis customization includes tick formatting via `format('.3s')` that replaces 'G' with 'B' for billions, plus removal of axis domain lines and grid-line styling through `axisBottom` and `axisLeft` calls. Population data from CSV files is converted to absolute numbers by multiplying by 1000.

Nnick-yadav
93% match
Loading thumbnail…

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using a horizontal layout with steel-blue bars. The axes are customized: the y-axis removes its domain line and tick lines, while the x-axis uses a custom tick formatter via `d3.format` to abbreviate values (e.g., converting “G” to “B”) and includes grid lines extending across the chart. Built with d3.v5 and SVG, the code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Population data is read from a CSV file and multiplied by 1000 to reflect actual counts.

MMateus Farias
92% match
Loading thumbnail…

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using a horizontal layout with steel-blue bars. The axes are customized: the y-axis removes its domain line and tick lines, while the x-axis uses a custom tick formatter via `d3.format` to abbreviate values (e.g., converting “G” to “B”) and includes grid lines extending across the chart. Built with d3.v5 and SVG, the code employs `d3.scaleLinear`, `d3.scaleBand`, `d3.axisLeft`, and `d3.axisBottom`. Population data is read from a CSV file and multiplied by 1000 to reflect actual counts.

MMateus Farias
92% match
Loading thumbnail…

Customizing Axes

This bar chart displays the populations of the top 10 most populous countries, with countries listed on the y-axis and population values on the x-axis. The chart uses D3 version 5's `scaleLinear` for the x-axis and `scaleBand` for the y-axis. It customizes the x-axis tick labels to abbreviate numbers (e.g., converting billions to "B") via `format('.3s')` and removes default axis lines. Data is loaded from a CSV file using D3's `csv` function, and the chart is rendered as SVG elements.

SSam Lite
92% match
Loading thumbnail…

Customizing Axes and Numbers

This example displays a horizontal bar chart of the world’s top 10 most populous countries, with populations from a CSV file scaled by 1,000. It uses d3.csv, d3.scaleLinear, and d3.scaleBand to map data to bar lengths and country names on the y-axis. The chart customizes the x-axis with d3.format('.3s') to abbreviate numbers and replaces “G” with “B” for billions, while removing y-axis domain lines and adding axis labels via d3.axisBottom and d3.axisLeft. All rendering is done in SVG with styled rectangles and text.

AAbhishek Chandarana
91% match
Loading thumbnail…

Customizing Axis

This bar chart displays the top 10 most populous countries using population data from a CSV file. The visualization customizes both axes: the y-axis removes domain lines and ticks for a cleaner look, while the x-axis formats population values (e.g., converting "G" to "B" for billions) and extends tick lines across the chart. Built with D3 v7, it uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom`, rendering as SVG. The x-axis label and title are added as text elements, with bars styled in steelblue via external CSS.

陳陳泰元
91% match
Loading thumbnail…

Customizing Axis

This bar chart displays the top 10 most populous countries, with population values formatted in billions using a custom tick formatter that replaces "G" with "B" in d3.format output. The chart uses d3.csv, scaleLinear, scaleBand, axisBottom, and axisLeft to render horizontal bars, with gridlines extending from x-axis ticks. A title and axis label are added via SVG text elements, and the y-axis domain lines and tick marks are removed while the x-axis domain is hidden, leaving a clean, focused visualization.

ÁÁlvaro Cáceres Muñoz
91% match
Loading thumbnail…

Making a Bar Chart/Customizing Axis

This example displays a horizontal bar chart of the top 10 most populous countries, using population data loaded from a CSV file. The chart customizes its axes, removing domain lines and using a D3 formatter to abbreviate large population numbers, such as converting billions to "B". The code relies on D3 v7 modules including `scaleBand`, `scaleLinear`, `axisLeft`, and `axisBottom`. SVG rectangles are drawn to represent each bar, with the chart rendered entirely through D3’s data join and SVG manipulation.

Aadelgrosso
91% match