The goal of Populationpack2016 is to analyze information about population based on number of families, owners, tenants and residential units of all neighbourhoods in Mashhad, Iran. By clicking on here you can have access to the vignettes.
You can install the development version of Populationpack2016 like so:
knitr::opts_chunk$set(message = FALSE)
if(!require(remotes)){
install.packages("remotes")
library(remotes)
}
remotes::install_github("NiloofarNL/Populationpack2016")
This is a basic example which shows you how to solve a common problem:
library(Populationpack2016)
library(knitr)
library(ggplot2)
summary(Population2016)
#> OBJECTID Neighbourhoods Families Owners
#> Min. : 1 Length:173 Min. : 0 Min. : 0
#> 1st Qu.: 44 Class :character 1st Qu.: 2552 1st Qu.:1120
#> Median : 87 Mode :character Median : 4620 Median :2096
#> Mean : 87 Mean : 5259 Mean :2342
#> 3rd Qu.:130 3rd Qu.: 7034 3rd Qu.:3020
#> Max. :173 Max. :20359 Max. :8314
#> NA's :1 NA's :1
#> Tenants Total Residential Units Apartment Units House Units
#> Min. : 0 Min. : 0 Min. : 0 Min. : 0
#> 1st Qu.: 1162 1st Qu.: 2478 1st Qu.: 1002 1st Qu.: 758
#> Median : 2174 Median : 4540 Median : 2391 Median : 1428
#> Mean : 2456 Mean : 5122 Mean : 3079 Mean : 2043
#> 3rd Qu.: 3258 3rd Qu.: 6812 3rd Qu.: 4583 3rd Qu.: 2595
#> Max. :10708 Max. :19815 Max. :12164 Max. :13236
#> NA's :1 NA's :1 NA's :1 NA's :1
#> Cottages or Sheds Shape_Length Shape_Area Area(Hectare)
#> Min. : 0.000 Min. : 1899 Min. : 190576 Min. : 19.0
#> 1st Qu.: 0.000 1st Qu.: 4290 1st Qu.: 876015 1st Qu.: 88.0
#> Median : 1.000 Median : 5364 Median : 1368233 Median : 137.0
#> Mean : 1.773 Mean : 5857 Mean : 1762437 Mean : 176.3
#> 3rd Qu.: 2.000 3rd Qu.: 6925 3rd Qu.: 2067674 3rd Qu.: 207.0
#> Max. :48.000 Max. :20888 Max. :16678412 Max. :1668.0
#> NA's :1
#> PopulationDensity Population
#> Min. : 0.00 Min. : 0
#> 1st Qu.: 76.75 1st Qu.: 8415
#> Median :131.00 Median :15387
#> Mean :131.25 Mean :17141
#> 3rd Qu.:175.00 3rd Qu.:23460
#> Max. :367.00 Max. :71466
#> NA's :1
## basic example code
#> Warning: Removed 1 rows containing missing values (geom_point).
#> Warning: Removed 1 rows containing missing values (geom_point).