Package: TimeVizPro
Type: Package
Title: Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro'
Version: 1.0
Date: 2024-03-11
Authors@R: c(
      person(given = "Hossein",
        family = "Hassani",
        role = c("aut"),
        email = "Hassani.stat@gmail.com"
        ),
      person(given = "Fernando",
        family = "Cantu Bazaldua",
        role = c("aut"),
        email = "f.cantu@unido.org"),
      person(given = "Leila",
        family = "Marvian Mashhad",
        role = c("aut","cre"),
        email = "Leila.marveian@gmail.com"
        )
    )	
Description: Unless the power of time-series data visualization with ease using our package. Designed with simplicity 
 in mind, it offers three key features through the 'shiny' package. The first output shows time-series charts 
 with forecast, allowing users to visualize trends and changes effortlessly. The second one presents 
 averages per country presented in tables with accompanying sparklines, providing a quick and attractive 
 overview of the data. The last one displayed a customizable world map colored based on user-defined 
 variables for any chosen number of countries, offering an advanced visual approach to understanding 
 geographical data distribution. This package operates with just a few simple arguments, enabling users to 
 conduct sophisticated analyses without the need for complex programming skills. Transform your time-
 series data analysis experience with our user-friendly tool.
Depends: R (>= 4.0.0), shiny, countrycode
Imports: sparkline, ggplot2, ggiraph, dplyr
Suggests: openxlsx, htmltools, htmlwidgets, DT
License: GPL-3
Author: Hossein Hassani [aut],
  Fernando Cantu Bazaldua [aut],
  Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Packaged: 2024-04-02 16:44:58 UTC; ne_da
Repository: CRAN
Date/Publication: 2024-04-03 19:43:07 UTC
