Saira Rasul

Reg. # PIDE2018FPHDETS08

library(haven)

DVLFS <- read_dta("C:/Users/Saira Rasul/Desktop/data-viz/DVLFS.dta")
library(ggplot2)
library(MASS)
library(plyr)

“Story Telling Using the Real Data of Pakistan i.e., Labor Force Survey Of Pakistan(LFS) for the Year2017-18”

Here the data use is from Labor Force Survey Of Pakistan(LFS) for the Year(2017-18). Here, we Mainly target the effect of wages but using different variables, we check the following effects using different plots. Following are the main objects:

1-The Overall impact of wages with respect to the gender comparison.

2-The comparison of wages among Gender (Female/Males) at provincial levels as well at regional level.

3-The overall labor involvement at Provincial as well as regional level with respect to the gender.

4-The Impact of formal and non-formal education on wages.

5-The contribution of Labor as per their age in the Labor Force of Pakistan.

1-The Overall impact of wages with respect to the gender comparison.

At first, we have to check the overall impact of Gender on the wages i.e., to compare the difference between male and female salaries in Pakistan. By looking at the graphs, we come to know that on average males earn more than females in Pakistan. For this analysis, first we draw the density plot.

DVLFS[, c("wages", "gender")]