Fork of Scales and Axes

100%

Fork of Scales and Axes

✓ Published0🌍 Public

Last edited Mar 11, 2024

Created on Mar 11, 2024

This example demonstrates how to construct a basic scatter plot framework using D3 scales and axes, with a gray inner rectangle delineating the plotting area. Linear scales map the domain from 0 to 100 to pixel coordinates, while `axisBottom` and `axisLeft` render tick marks and labels along the bottom and left edges. The visualization uses `scaleLinear` and the axis generators from D3 v7, with an SVG container sized to its parent element. The inner rectangle's fill color and margins are configurable through the `viz` function parameters, showing how to set up reusable chart scaffolding without plotted data.

AI-generated description

Preparing for visualization with D3 scales and axes!

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Scales and Axes

This example demonstrates D3 scales and axes by rendering a blank chart with a gray inner rectangle and labeled x and y axes. It uses `d3.scaleLinear` to map input data from 0 to 100 into pixel coordinates, with margins defining the plot area. The axes are created using `d3.axisBottom` and `d3.axisLeft`, which are appended to SVG groups and positioned via margin-based transforms. The code imports from the D3 v7 library and dynamically sizes the SVG to its container.

DDuc Pham

90% match

Loading thumbnail…

Fork of Scales and Axes

This example demonstrates how to construct a basic Cartesian coordinate system using D3 scales and axes. A dark grey inner rectangle is drawn within the SVG canvas to define the plotting area, while a linear scale maps the domain 0–100 to the horizontal and vertical pixel ranges. The bottom and left axes are rendered using `d3.axisBottom` and `d3.axisLeft` respectively. The `d3.scaleLinear` API handles the coordinate transformations, and the visualization responds to container resizing through a `ResizeObserver`.

Oownerofthesoul0000@gmail.com

88% match

Loading thumbnail…

Scales and Axes

This example demonstrates how D3.js maps data values to screen coordinates using linear scales and renders labeled axes. A grey inner rectangle spans the plotting area, and the `scaleLinear` function transforms the domain 0–100 into pixel positions for both x and y dimensions. The `axisBottom` and `axisLeft` components generate tick marks and labels along the bottom and left edges, while the `join` method efficiently manages SVG elements. The visualization is created using D3 version 7.8.5, with the chart’s dimensions and margins dynamically calculated from the container size.

CCurran Kelleher

87% match

Loading thumbnail…

Scale & Axes

This example demonstrates the fundamental role of scales and axes in D3 data visualization. A gray plotting area is framed by a linear x-axis and y-axis, both spanning a domain from 0 to 100. The code uses `d3.scaleLinear` to map data values to screen coordinates, with `axisLeft` and `axisBottom` from D3 to render the ticks and labels. Margins are explicitly calculated to position the axes and the inner chart area, while the axes module manages the axis generation and text labels.

SSubhendu Karmakar

86% match

Loading thumbnail…

Fork of Axis Labels

This fork demonstrates how to add labeled axes to a scatterplot-style visualization using D3 v7. It renders a gray inner rectangle as the plotting area, with a linear x-axis and y-axis scaled from 0 to 100, and places the labels “X Axis Label” and “Y Axis Label” at configurable offsets. The code uses `scaleLinear`, `axisBottom`, and `axisLeft` to create the axes, while custom functions `xAxisLabel` and `yAxisLabel` position the text elements with SVG transforms.

JJingxuan Yang

81% match

Loading thumbnail…

Fork of Axis Labels

This visualization demonstrates how to add clear, customized labels to the X and Y axes of a D3 chart. The code builds a simple scatterplot with a gray inner rectangle and axes rendered using D3's `scaleLinear`, `axisBottom`, and `axisLeft` functions. Text elements for the axis labels are positioned with computed offsets and rotations using `selectAll` and `.join`. Everything is composed modularly across separate files like `xAxisLabel.js` and `yAxisLabel.js`, with default styling applied via sans-serif font attributes.

Vvishal R

81% match

Loading thumbnail…

Fork of Axis Labels

This example demonstrates two labeled Cartesian axes positioned around a shaded inner region. The visualization uses D3's `scaleLinear` and `axisBottom`/`axisLeft` to render the axes, with custom `text` elements for the X and Y axis labels, offset via configurable parameters. Data is generated programmatically as a fixed linear scale from 0 to 100, and the gray inner rectangle highlights the plotting area defined by the margins.

SSree Likhith

81% match

Loading thumbnail…

Fork of Axis Labels

This example demonstrates how to add labeled axes to a D3 visualization. It renders a gray inner rectangle with a linear x-scale and y-scale, then uses D3’s `axisBottom` and `axisLeft` to draw the axes. The x-axis label is centered horizontally, while the y-axis label is rotated -90 degrees and positioned along the left edge. The code relies on D3 v7 APIs such as `scaleLinear`, `select`, `join`, and `axisBottom`/`axisLeft`, with modular functions for each axis and label component.

Llrsavoie@wpi.edu

81% match