PakPC: Shiny App to Analyze Pakistan’s Population Census Data

Version : 0.3.0; Copyright (C) 2024: License: GPL-2|GPL-3

Muhammad Yaseen^1,2, Muhammad Arfan Dilber³, and Zahid Asghar⁴

1. School of Mathematical & Statistical Sciences, Clemson University, Clemson, South Carolina, USA
2. Department of Mathematics and Statistics, University of Agriculture Faisalabad, Pakistan
3. Pakistan Bureau of Statistics, Pakistan
4. School of Economics, Quaid-i-Azam University, Islamabad, Pakistan

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Description

Provides tools for analyzing Pakistan’s Population Censuses data via the ‘PakPC2023’ and ‘PakPC2017’ R packages. Designed for researchers, policymakers, and professionals, the app enables in-depth numerical and graphical analysis, including detailed cross-tabulations and insights. With diverse statistical models and visualization options, it supports informed decision-making in social and economic policy. This tool enhances users’ ability to explore and interpret census data, providing valuable insights for effective planning and analysis across various fields.

Installation

The package can be installed from CRAN as follows:

install.packages("PakPC", dependencies = TRUE)

The development version can be installed from github as follows:

if (!require("remotes")) install.packages("remotes")
remotes::install_github("myaseen208/PakPC")

What’s new

To know whats new in this version type:

news(package = "PakPC")

Links

Shiny App

CRAN page

Github page

Documentation website

Citing PakPC

To cite the methods in the package use:

citation("PakPC")
Please, support this project by citing it in your publications!

  Yaseen M, Dilber MA, Asghar Z (2024). _PakPC: Shiny App to Analyze
  Pakistan's Population Census Data_.

A BibTeX entry for LaTeX users is

  @Manual{,
    title = {PakPC: Shiny App to Analyze Pakistan's Population Census Data},
    author = {Muhammad Yaseen and Muhammad Arfan Dilber and Zahid Asghar},
    year = {2024},
    journal = {The Comprehensive R Archive Network (CRAN)},
  }