Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published1🌍 Public
Aavesh1998
Last edited Jun 3, 2020
Created on Jun 3, 2020
Forked from Scatter Chart

This example visualizes three separate line segments, each connecting two points on a scatterplot-like coordinate system. The data is defined as an array of coordinate pairs, and D3.js v3 scales map these values to pixel positions. Using `d3.svg.line()` and `d3.svg.axis()`, the code generates SVG paths and axes within a React-rendered HTML page. The rendering approach relies on SVG elements appended to a container, with margins applied via a translation transform.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This example shows how to connect pairs of points with lines using D3.js version 3 within a React framework, rendering the result as SVG. It defines a dataset of three line segments, each containing two coordinate pairs, and plots them on a Cartesian grid with linear scales for the x and y axes. The code uses `d3.svg.line()` to generate the path data for each segment and applies it to SVG path elements via `.datum()` and the `d` attribute, while axis generation relies on `d3.svg.axis()`.

Aavesh1998
92% match
Loading thumbnail…

Untitled

This example demonstrates how to connect multiple pairs of points with straight lines in a Cartesian coordinate system using D3.js v3. The visualization renders three separate line segments, each defined by two endpoints, on an SVG canvas with labeled x and y axes. The code uses d3.svg.line() to generate the path data, d3.scale.linear() for coordinate mapping, and d3.svg.axis() to draw the axes. Data is stored as an array of coordinate pairs in JavaScript, and each line is appended as an SVG path element with a distinct stroke color.

Aavesh1998
91% match
Loading thumbnail…

Untitled

A line chart visualizes a dataset of 13 coordinate pairs, plotting dependent values against independent variables across a 500x400 SVG canvas. The example uses D3 v4 within a React framework to construct a linear chart with labeled axes, a title, and red circular markers. The code specifically employs `d3.scaleLinear` for axis scaling, `d3.axisBottom` and `d3.axisLeft` for ticks, and a custom line generator via `d3.line` with monotone curve smoothing to connect the data points. The visualization is rendered entirely as SVG elements, with fixed margins and translated groups for positioning.

Nnamansinghal1420
86% match
Loading thumbnail…

Untitled

This example shows a simple scatter plot of 100 randomly generated points, each positioned on a 500-by-500 pixel SVG canvas. The visualization uses D3.js v4 scales and axes to map linear domains to screen coordinates, with red circles drawn for each point. The code appends an SVG group to the page, translates it by a 40-pixel margin, and uses `d3.scaleLinear` for both the x- and y-axes, which are rendered via `d3.axisBottom` and `d3.axisLeft`. Data is created in a loop using `Math.random()`.

Ffay Alomar
83% match
Loading thumbnail…

Untitled

This example demonstrates animated line drawing in SVG using D3.js. Four data points (x, y coordinates) are plotted as circles colored yellow or blue based on their x-value, with a natural cubic spline curve passing through them. The line initially appears with a dash offset and transitions to full visibility over three seconds using D3's `transition()`, `easeLinear`, and a repeating `on("end")` callback. The `d3.line()` function with `curveNatural` generates the path geometry in a React environment.

Ssubratanp
81% match
Loading thumbnail…

Untitled

This example visualizes a time series of a single numeric value over approximately 90 daily data points, displaying both a filled area chart and an overlaid line with red circular markers. The chart uses a time-scaled x-axis and a linear y-axis, with axes rendered via `d3.axisBottom` and `d3.axisLeft`. It loads comma-separated data from a remote URL, parses dates with `d3.timeParse`, and builds the area and line paths using `d3.area` and `d3.line`. The visualization is rendered as SVG within a React-compatible setup using D3 v4.

Wwannurmawaddah
81% match
Loading thumbnail…

Untitled

This example presents an interactive data visualization built with the d3.v4 library and embedded in a React framework. It renders a graph within a designated div element, loading D3.js from a CDN. The visualization appears to be a network or node-link diagram, though the specific data source is not identified in the provided files. The code sets up a blank canvas for the visualization, and the actual plotting logic would use D3’s force simulation or layout functions to position elements. The implementation relies on standard HTML and JavaScript, with CSS handling the visual styling.

SSheela2930
81% match
Loading thumbnail…

Untitled

This example visualizes the progression of a line chart tracking a signal over time using D3.js. It reads CSV data files containing time-series measurements and displays them as multiple filtered lines on an SVG canvas. The code uses D3 v3’s `d3.svg.line`, `d3.time.scale`, and `d3.svg.axis` to render the chart with a date-based x-axis and linear y-axis. Interactive mouse-over effects are partially implemented, though the mouse-line overlay is not fully functional.

HHariprashanth75
81% match