README.md

In rsangole/tslabeler: Labeling Tool For Time Series Data

tslabeler

Shiny app to label time series data

Labeling time series data is a typical preprocessing step for developing time series forecasting, classification or anomaly detection models. This Shiny app allows you to label very large quantities of time series data interactively, yet quickly.

Installation

You can install the development version from GitHub.

# install.packages("devtools")
devtools::install_github("rsangole/tslabeler")

Quick Start

Use the example dataset to poke around and get started.

library("tslabeler")
data("tslabeler_example")
label_ts()

Or, give it a try at shinyapps.io

How it works

Features

• All internal data operations are done using data.table which keeps manipulations extremely speedy
• Interactive plotting done using base::plot and shiny, again, to keep things responsive
• Inputs can be a data.table|frame or CSV with a date/date-time column, atleast one value column, and an optional grouping variable. Tsibble planned for the next version.
• Ready-to-use tags with the option of creating your own tags
• Quick interactivity to peek into the data using the zoomed time-series view and table
• Points can be selected using a box brush or a y-brush… just double-click

rsangole/tslabeler documentation built on April 4, 2020, 8:26 p.m.