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TimeVizPro  

Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro'
View on CRAN: Click here


Download and install TimeVizPro package within the R console
Install from CRAN:
install.packages("TimeVizPro")

Install from Github:
library("remotes")
install_github("cran/TimeVizPro")

Install by package version:
library("remotes")
install_version("TimeVizPro", "1.0.1")



Attach the package and use:
library("TimeVizPro")
Maintained by
Leila Marvian Mashhad
[Scholar Profile | Author Map]
First Published: 2024-04-03
Latest Update: 2024-04-05
Description:
Unleash 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 output. The first tab shows time- series charts with forecasts, allowing users to visualize trends and changes effortlessly. The second one displays Averages per country presented in tables with accompanying sparklines, providing a quick and attractive overview of the data. The last tab presents 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 distributions. 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.
How to cite:
Leila Marvian Mashhad (2024). TimeVizPro: Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro'. R package version 1.0.1, https://cran.r-project.org/web/packages/TimeVizPro. Accessed 31 Jan. 2025.
Previous versions and publish date:
1.0 (2024-04-03 21:43)
Other packages that cited TimeVizPro R package
View TimeVizPro citation profile
Other R packages that TimeVizPro depends, imports, suggests or enhances
Complete documentation for TimeVizPro
Functions, R codes and Examples using the TimeVizPro R package
Full TimeVizPro package functions and examples
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