Results for d3fc-random-data

Components for generating random data series based on stochastic processes

Components for generating random data series based on stochastic processes

Component which emits the current mouse or touch position over a selection

A simple Cartesian chart component that renders to canvas or SVG.

A component that simplifies the D3 data join and supports the d3fc decorate pattern

A collection of components that make it easy to build interactive charts with D3

Custom HTML elements that make it easier to create responsive visualisations that integrate easily with other UI frameworks (e.g. React, Angular)

A drop-in replacement for d3 axis, with support for the d3fc decorate pattern

A data subsampler that chooses representative data points using a largest triangle or mode-median approach.

Adapts the D3 brush, making it easier to create data-driven brushed charts.

Extends the d3 extent functionality to allow multiple accessors, padding and date support

Utilities for copying methods from one d3 component to another in a configurable way

Components for calculating technical indicators on data series

A utility for manipulating CSV / TSV data to allow rendering of grouped series.

A D3 layout that places labels avoiding overlaps using either a greedy or simulated annealing strategy

A D3 scale that supports domains that are not continuous, allowing 'breaks' in the scale, for example skipping weekends for a date scale.

A collection of utilities to enable drawing to WebGL canvases

A collection of D3 components for rendering plot area annotations to SVG, including lines, crosshairs, gridlines and more

A collection of SVG/canvas path generators for creating chart series

An API for fetching financial time-series data from different sources including GDAX

A collection of components for rendering data series to SVG and canvas, including line, bar, OHLC, candlestick and more

A zoom component which operates in domain values

Generate random numbers from various distributions.

A data subsampler that chooses representative data points using a largest triangle or mode-median approach.