Skip to main content
SimilarExport ZIP
100%

Customizing Axis

✓ Published1🌍 Public
陳陳泰元
Last edited Sep 30, 2022
Created on Sep 30, 2022
Forked from Making a Bar Chart

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.

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
95% 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
94% match
Loading thumbnail…

Customizing Axis

This bar chart displays the population of the top 10 most populous countries, using horizontal bars ordered by descending values. It customizes the axes by hiding the default axis lines and ticks, applying a tick formatter that abbreviates large numbers (e.g., converting "G" to "B"), and adding custom labels for the x-axis and title. The visualization is built with D3 v5, using `scaleLinear`, `scaleBand`, `axisLeft`, `axisBottom`, and `format`, with data loaded from a CSV file and rendered as SVG rectangles.

WWahe3bru
94% match
Loading thumbnail…

Customizing Axes

This bar chart displays the population of the top 10 most populous countries, with data loaded from a CSV file and rendered as SVG. The visualization customizes both axes by removing domain lines and tick lines from the categorical y-axis, while the linear x-axis uses a tick format that abbreviates large numbers and converts 'G' to 'B' for billions. It employs d3.csv, scaleLinear, scaleBand, axisLeft, and axisBottom, with gridlines generated via tickSize on the x-axis.

Rrainyrainyguo
94% 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
94% 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
94% match
Loading thumbnail…

Customizing Axis

This visualization displays the top 10 most populous countries as horizontal bars, with population values on the x-axis and country names on the y-axis. It uses d3.csv to load data from a CSV file, then d3.scaleLinear and d3.scaleBand to map values and categories. The axes are customized using d3.axisBottom and d3.axisLeft, with tick labels formatted via d3.format to abbreviate large numbers (e.g., “1.41B”). Bar rectangles are appended to an SVG group with margins applied, and gridlines are created by negative tick sizes on the x-axis.

KKaleb LaBarrie
94% 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
94% match