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#Visualization 4: Column graph for labor division between white men and women | |
#load packages | |
library(dplyr) | |
library(readr) | |
library(ggplot2) | |
library(RColorBrewer) | |
#Read in IPUMS data | |
a <- read_csv('usa_00067.csv',col_types=cols(PERWT=col_double())) |
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#Visualization 3: Line graph of white women in different family structure | |
#load packages | |
library(dplyr) | |
library(readr) | |
library(ggplot2) | |
library(RColorBrewer) | |
#Read in IPUMS data; | |
a <- read_csv('usa_00067.csv',col_types=cols(HHWT=col_double(),PERWT=col_double())) |
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#Visualization 2: The Column graph of white women by number of children and education level | |
#load packages | |
library(dplyr) | |
library(readr) | |
library(ggplot2) | |
library(RColorBrewer) | |
#Read in IPUMS data; | |
a <- read_csv('usa_00075.csv',col_types=cols(PERWT=col_double())) |
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#Visualization 1: Income differential between white men and women in boxplot graph | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(RColorBrewer) | |
library(scales) | |
#Read in IPUMS data |