Skip to main content
100%

Gist 42777aadd72477bbf523ed2778370383

✓ Published0🌍 Public
TTomBresee
Last edited Feb 25, 2020
Created on Feb 25, 2020

A line chart plots a train signal's amplitude (x) against time (t), with a thin maroon stroke across a wide 1700-pixel SVG canvas. The data is loaded from a remote CSV via `d3.csv`, and axes are generated using `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft`. The path is drawn with `d3.line`, mapping each point's time to the x-scale and amplitude to the y-scale, producing a dense, spiky waveform.

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
77% 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
74% 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…

Basic line chart

This line chart shows the relationship between two numerical values and time, plotting two series from a CSV file across the years 2010–2015. It uses d3.csv to load the data, then applies d3.scaleTime and d3.scaleLinear for axes, while d3.line constructs the paths. The chart renders in SVG, with each line styled via a separate stroke color. Axis labels are added using d3.axisBottom and d3.axisLeft, and the code includes configurable column names for easy reuse as a template.

EEleonore9
73% match
Loading thumbnail…

Line Time 2

The chart displays a stepped line tracing a time series of monthly values from a CSV file, with data points highlighted by large circles. The visualization renders to an SVG element, using D3 v7’s `scalePoint`, `scaleLinear`, `line`, and `curveStep` APIs to construct the path, alongside `axisBottom` and `axisLeft` for the axes. Data is loaded via `csv`, sorted by date, and mapped onto the scales with a 0.5 padding factor. A title text element sits above the plotting area.

Ddiegobrivo
73% 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
72% match
Loading thumbnail…

Linechart2

This example shows multiple time series as colored lines, with each line representing a distinct category tracked over time on a shared axis. It uses D3 v6 to load a CSV dataset with `d3.csv`, group the data by category with `d3.group`, and render the lines with the `d3.line` generator. The visualization sets up a linear x-axis for years and a y-axis for values, applying a categorical color scale via `d3.scaleOrdinal`. The SVG is appended to a `div` container with explicit margins and dimensions, and axes are drawn using `d3.axisBottom` and `d3.axisLeft`.

Nnicolekevans
72% match
Loading thumbnail…

Line Chart

This example shows a line chart tracking score trends over time, using a blue stroke to connect data points across linear axes for time and score. It loads tab-separated data from a remote GitHub Gist via `d3.tsv`, parses the numeric fields, and renders the visualization with `d3.axisBottom` and `d3.axisLeft`. The line is drawn using `d3.line` with SVG `<path>` elements, while axis labels are added as SVG `<text>` nodes with rotated and anchored positioning.

TTejasriKari@my.unt.edu
72% match