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Title: Easy and Interactive Time Series Visualization
Version: 0.1.0
Description: An 'RStudio' add-in to visualize time series. Time series are searched in the global environment as data.frame objects with a column of type date and a column of type numeric. Interactive charts are produced using 'plotly' package.
URL: https://github.com/donlelef/tsviz
BugReports: https://github.com/donlelef/tsviz/issues
License: MIT + file LICENSE
Suggests: testthat (≥ 2.1.0), lintr (≥ 1.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends: R (≥ 3.5)
Imports: dplyr (≥ 0.8), lubridate (≥ 1.7), plotly (≥ 4.9), shiny (≥ 1.2), miniUI (≥ 0.1.1), forecast (≥ 8.7), ggplot2 (≥ 3.0), magrittr (≥ 1.5), shinyhelper (≥ 0.3.1)
NeedsCompilation: no
Packaged: 2019-07-23 14:53:00 UTC; donle
Author: Marta Peroni [aut], Emanuele Fabbiani [cre]
Maintainer: Emanuele Fabbiani <emanuele.fabbiani@xtreamers.io>
Repository: CRAN
Date/Publication: 2019-07-26 10:50:02 UTC

Pipe operator

Description

See magrittr::%>% for details.

Usage

lhs %>% rhs

Prices of 3 crypto currencies

Description

A dataset closing prices for Litecoin, Bitcoin and Ethereum on 1174 days, between 2016-04-01 and 2019-07-01. Prices are recorded in US dollars.

Usage

crypto_prices

Format

A data frame with 1174 rows and 4 variables:


Easy and interactive visualization of time series

Description

An RStudio addin to visualize time series. Time series are supposed to be contained into a data.frame object in the global environment, with the following format:

Usage

tsviz()

Examples

if(interactive()){
prices <- tsviz::crypto_prices
tsviz::tsviz()
}

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.