multi_ts_list: A list of 500 different multivariate time series data.

In mowomoyela/tstaxonomyr: A time series taxonomy to classify univariate or multivariate time series

Description

A list containing 500 different multivariate time series data. Each element of the uni_list represents a time series by a list of three different attributes: name, data and desc. The name attribute contains the name of the time series, the data attribute is a 2 to n dimensional data frame consisting of the date and several actual time series values/features. The desc attribute describes the kind of ts data. 458 elements of the list are multivariate time series data from the kaggle data science platform. It consist mainly of stock, weather, currency and crime data. The left 42 elemnts are from the University of Florida and the UCI Machine Learning Repository.

Usage

multi_ts_list

Format

A list with 500 elements. Each element is a list of the following three items:

name

The valid name of the ts from its source

data

A data.frame which always contains a 'date' column and then one further column for the ts data

desc

A brief information about the kind of the data

Source

Kaggle TS data https://www.kaggle.com/datasets?tagids=6618 University of Florida http://users.stat.ufl.edu/~winner/datasets.html UCI Machine Learning Repository https://archive.ics.uci.edu/ml/datasets.html?format=&task=reg&att=&area=&numAtt=&numIns=&type=ts&sort=attUp&view=table

mowomoyela/tstaxonomyr documentation built on May 15, 2019, 4:47 p.m.