fresh block

100%

✓ Published0🌍 Public

Last edited Feb 18, 2016

Created on Feb 18, 2016

This block demonstrates an interactive axis-label alignment and grid-styling experiment in D3.v3. A slider adjusts the linear scale’s domain from 20 to 1000, triggering a redraw of both a “fake” background grid and a “real” foreground axis via `d3.svg.axis().orient('bottom')`. The grid’s tick lines are selectively shortened or lengthened based on their index, revealing blue minor-minor and red minor gridlines against a gray backdrop. Rendering uses SVG within a small 960-by-50-pixel viewport. The example highlights custom tick styling and dynamic rescaling without displaying data points.

AI-generated description

Built with blockbuilder.org

Similar vizzes

Loading thumbnail…

fresh block

A slider controls the domain of a linear scale, ranging from 20 to 1000, which drives two bottom axes rendered with `d3.svg.axis`. A fake grid axis draws white tick lines with varying lengths, colored red and blue for minor and minor-minor ticks, while a real axis above it uses 100 ticks and a fixed tick size. The visualization compares the grid’s alternating tick patterns against the dense axis, using SVG with `shape-rendering: crispEdges`. The data is generated from the slider’s input value, which updates the scales and redraws the axes.

SSmith5mr

92% match

Loading thumbnail…

fresh block

This example shows a vertical axis with a linear scale, positioned inside an SVG. The code uses d3.min, d3.max, and d3.extend to compute the domain from an external `data` array, referencing a city variable. A d3.scaleLinear maps this domain to pixel heights, and d3.axisLeft with the scale generates the tick marks and labels. The axis is appended to an SVG g element, translated 40 pixels from the left and 20 from the top. The data itself is not defined in the visible HTML, leaving its source unspecified.

SSnyplife

84% match

Loading thumbnail…

fresh block

A simple D3.js example displays a time-scale x-axis spanning from September 2012 to January 2013, with major ticks every 14 days formatted using a custom multi-level time format (`d3.time.format.multi`). The code sets a large top and bottom margin (250 pixels) to center the axis vertically within the SVG canvas. It renders a single SVG group containing the axis via `d3.svg.axis()`, with tick labels suppressed by the custom format function. The visualization demonstrates basic axis configuration and custom tick formatting without any underlying data or interactive behavior.

AA6Brgeuka

83% match

Loading thumbnail…

fresh block

This example shows a simple line chart with circular dots plotted against a linear scale, where both axes use a value range of 0 to 1. The visualization begins with a static rendering, but the dots respond to mouseover and mouseout events, changing color to red and scaling up briefly before returning to black. The code uses D3 v4 with `d3.scaleLinear`, `d3.line`, and `d3.axisBottom`/`d3.axisLeft` to generate the chart, while SVG circle elements handle the interactive hover behavior via `transition().duration(500)`. Data is randomly generated with `d3.randomUniform`, and the chart fills the browser window.

663anp3ca

80% match

Loading thumbnail…

fresh block

This example shows a simple scatterplot-like chart with axes, plotting five data values between 10 and 30 on a 400-by-400 SVG canvas. It demonstrates how to use d3.scaleLinear for both x and y axes, with the y-axis scaled from the chart’s height down to zero and the x-axis scaled from zero to the data maximum. The code appends two groups to the SVG, translating them to position the axes, and uses d3.axisBottom and d3.axisLeft to render the ticks. The data is hardcoded as an array, and the visualization relies solely on d3.v4 for scaling and axis generation.

DDjokovalle

79% match

Loading thumbnail…

Axis Grid

This example showcases a static, abstract axis grid rendered as an SVG. The central visual features a series of grid lines with deliberate, small gaps at their intersections, creating a dotted or segmented pattern that echoes the look of analog signal interference. The code constructs the grid using D3.js scaling and axes, specifically `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`, with tick sizes set to span the full chart width and height. It further annotates the grid with small clusters of black dashes and two alternating rows of dots, all generated procedurally within the script.

KKelvinZCH

78% match

Loading thumbnail…

scale

A slider controls the domain of a linear scale, demonstrating how D3’s axis and grid components respond to changing input ranges. The visualization shows a horizontal grid with major, minor, and sub-minor tick lines in red and blue, while a separate black axis displays four major ticks. Dragging the slider updates the domain and redraws both groups via `d3.svg.axis()`. The SVG rendering uses crisp edges, with the grid background and tick styling defined in CSS. Data is generated on the fly from the slider’s numeric value, with no external dataset.

SSmith5mr

78% match

Loading thumbnail…

fresh block

A grid of four square rectangles is drawn on an SVG canvas, each positioned along the x-axis with identical y-values, and colored with a cool-tone gradient that shifts based on each square's x-coordinate. The visualization uses d3.v4 and the data-binding pattern `selectAll().data().enter().append()` to create the shapes. The x- and y-positions are mapped through `d3.scaleLinear` domains, while a `d3.scaleSequential` with `d3.interpolateCool` determines the fill color. The static dataset is hardcoded in the script, and margins are applied via a translated SVG group.

RRobertDelgado

78% match