gkagyen/DatGss

Population and housing census data in 2021 summarised from the Ghana statistical survey # DatGss The goal of DatGss is to make accessible to all the population and housing census data from Ghana Statistical Survey in 2021. This data has been aggregated for easier manipulation. ## Installation You can install the development version of DatGss from GitHub with: ``` r # install.packages("devtools") devtools::install_github("gkagyen/DatGss") ``` ## Example This is a basic example which shows you how to solve a common problem: ``` r library(DatGss) library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union glimpse(Gss_1) #> Rows: 160 #> Columns: 4 #> $ Religious_Affiliation "Christian", "Christian", "Christian", "Christia… #> $ Locality "Rural", "Rural", "Rural", "Rural", "Rural", "Ru… #> $ Region "Western", "Central", "Greater Accra", "Volta", … #> $ Population 798100, 1013371, 393333, 734930, 1213861, 160783… glimpse(Gss_2) #> Rows: 320 #> Columns: 4 #> $ Locality "Rural", "Rural", "Rural", "Rural", "Rural", "Rural", "… #> $ Household_size "1 Person", "1 Person", "1 Person", "1 Person", "1 Pers… #> $ Region "Western", "Central", "Greater_Accra", "Volta", "Easter… #> $ Population 88359, 102370, 31124, 80499, 122827, 160642, 42839, 183… ``` What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: ``` r summary(cars) #> speed dist #> Min. : 4.0 Min. : 2.00 #> 1st Qu.:12.0 1st Qu.: 26.00 #> Median :15.0 Median : 36.00 #> Mean :15.4 Mean : 42.98 #> 3rd Qu.:19.0 3rd Qu.: 56.00 #> Max. :25.0 Max. :120.00 ``` You’ll still need to render `README.Rmd` regularly, to keep `README.md` up-to-date. `devtools::build_readme()` is handy for this. You can also embed plots, for example: In that case, don’t forget to commit a …