Skip to main content
100%

Gist f8797295d3575bca4ec2c444e035e8bb

✓ Published0🌍 Public
Aandybak
Last edited May 14, 2021
Created on May 14, 2021

The visualization is a line chart showing a sequence of data points, rendered as a single continuous path. The line is drawn using SVG path data with a red stroke, positioned against a plain background with minimal styling. It appears to be a simple time-series or sequence plot, where the path connects coordinates across a fixed horizontal axis, with the line rising and falling as it progresses from left to right. The chart uses no axes, gridlines, or labels, suggesting a minimalist or abstract presentation of the data.

AI-generated description

Similar vizzes

Loading thumbnail…

Gist bb8fddc4a5fc3cc60c99

A line chart maps a small array of ten numbers to an SVG path, showing how the values fluctuate across a linear sequence. The visualization uses a red, unbroken polyline to emphasize the shape of the data, with the y-axis scaled from the data’s minimum to maximum and the x-axis evenly spaced by index. The code creates the chart using d3.scale.linear for both axes and d3.svg.line to generate the path, which is appended to an SVG container via d3.select and datum. The fixed width and height of 500 pixels define the plotting area, while the stroke and fill styles come from a CSS class.

CCaged
82% match
Loading thumbnail…

Gist 4cd8f6cf6b2c29372f82424c1363d08a

This visualization demonstrates a minimal time-series dataset containing two data points, each with a Unix timestamp and a numeric value. It uses D3.js to render the data as a simple line or area chart on an SVG canvas, likely plotting time on the x-axis and value on the y-axis. The code initializes a D3 scale and axis to map the input coordinates, then draws a path connecting the two points. The sparse dataset highlights how the visualization handles gaps or immediate transitions between values, with the second point dropping to zero shortly after the first.

VVioletVivirand
80% match
Loading thumbnail…

Gist 74cb28602595c2a18d8c9de77ebabe78

This visualization shows a time-series dataset from `timedata.json`, where each entry pairs a Unix timestamp in milliseconds with a numeric value, here displaying two points: 1483228800000 mapping to 2 and 1483228820000 mapping to 4. The example renders these as a simple line or scatter plot, likely using D3.js with `d3.scaleTime` for the x-axis and `d3.scaleLinear` for the y-axis. The code constructs an SVG container, binds the data, and draws circles or a path to represent the values, while axes are generated via `d3.axisBottom` and `d3.axisLeft`. The visualization focuses on demonstrating a minimal, direct mapping of raw timestamped data to visual marks without additional transformations.

VVioletVivirand
73% match
Loading thumbnail…

Gist b26af969008f2443c96d3f0f8d66cb14

This example shows a simple line chart plotting the three values from `stuff.csv` (1, 2, 3) as a continuous series. The visualization uses D3.js to load the CSV and bind the data to SVG circles and a path, with scales mapping the x- and y-positions. A hover interaction highlights the nearest data point by enlarging the circle, while the line itself is drawn using `d3.line`. The chart includes axis ticks and labels generated with `d3.axisBottom` and `d3.axisLeft`, providing a minimal but clear view of the data’s upward trend.

MMbrownshoes
73% match
Loading thumbnail…

Gist 890029

This visualization maps the timestamps of Gist 890029 commits as a radial time-series layout, showing activity across days of the week and hours. It uses d3.forceSimulation to position circular nodes on a spiral, with each point encoded by day and time. The rendering relies on d3.quadtree for collision detection and a custom path generator via d3.curveLinear, while axis labels and tick marks are drawn using d3.axisTop and d3.axisLeft. The source data comes from the gist’s file list, where each line is a timestamp parsed into a Date object. Color intensity varies by frequency, and the visualization highlights daily rhythms through a stacked circular band.

CCaged
73% match
Loading thumbnail…

Pseudo Line Chart

This example shows a hand-drawn-style line chart composed of a single thick, rounded black path that steps down and up across a white canvas, suggesting an approximate data trend. The visualization uses raw SVG markup with a `path` element, specifying coordinates and stroke properties directly, and loads the Share Tech font for a single text style rule. All rendering is performed through the SVG format, with no JavaScript libraries or data-processing APIs involved. The chart’s minimal design focuses on the aesthetic of an imprecise, pseudo-line representation rather than precise data encoding.

Aajoua
73% match
Loading thumbnail…

Gist 82e79cc1588db5bfaa80d319795eb99a

The visualization plots a list of charity fundraising events, each represented as a point positioned along a timeline based on its scheduled date. The code uses `d3.forceSimulation` to lay out the points, with the x-axis encoding time and the y-axis using a force to avoid label overlap. Event titles are displayed as text labels, and the dataset comes from a plain-text file containing event names and dates. The rendering relies on standard SVG elements created via D3 selections, with no additional charting library.

Aandybak
73% match
Loading thumbnail…

simple line chart from dataset

This example visualizes a simple time series with a line chart, plotting monthly values from a small JSON dataset between January and July 2016. The SVG rendering uses d3.scaleTime and d3.scaleLinear to map dates and numeric values, while d3.line constructs the black stroked path. Each data point is marked by a semi-transparent grey circle that turns red on mouseover, triggering a dashed vertical guideline and a text label showing the exact value via d3.select and appended SVG elements. The chart also displays a permanent value label for the final data point at the right edge.

SSebDelSab
72% match