R/ICT.R
ICT.RdICT data from Pakistan Social and Living Standard Measures 2015.
data(ICT)
A data.table and data.frame with 115910 observations of 28 variables.
hhcodeHousehold 10 digits code.
ProvinceProvince of Pakistan
RegionRegion of Pakistan (Rural/Urban)
PSUprimary sampling unit 8 digits code
idcIdentification code
sictq01Computer using in last month (Yes/No)
sictq0201Computer related 1st activity
sictq0202Computer related 2nd activity
sictq0203Computer related 3rd activity
sictq0204Computer related 4th activity
sictq0205Computer related 5th activity
sictq0206Computer related 6th activity
sictq03Mobile using in last month (Yes/No)
sictq04Internet Using in last month (Yes/No)
sictq05Internet used in last three months
sictq06Internet using in last year (Yes/No)
sictq0701Internet using of 1st location
sictq0702Internet using of 2nd location
sictq0703Internet using of 3rd location
sictq0704Internet using of 4th location
sictq0705Internet using of 5th location
sictq0706Internet using of 6th location
sictq0801Private purpose internet using activity 1
sictq0802Private purpose internet using activity 2
sictq0803Private purpose internet using activity 3
sictq0804Private purpose internet using activity 4
sictq0805Private purpose internet using activity 5
sictq0806Private purpose internet using activity 6
Pakistan Bureau of Statistics, Micro data (http://www.pbs.gov.pk/content/microdata).
Employment
, Education
, Expenditure
, HHRoster
, Housing
, LiveStock
, Agriculture
# library(PSLM2015) # data("ICT") # library(dplyr) # TechRate<- ICT %>% # group_by(Province, sictq01) %>% # summarise(Count = n()) # # library(ggplot2) # ggplot(data = TechRate, mapping = aes(x = Province, y = Count)) + # geom_col() + labs(colour = "Cylinders") + # facet_grid(. ~ sictq01)