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#load packages | |
library(ggplot2) | |
library(RColorBrewer) | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(scales) | |
#Read in IPUMS data | |
a <- read_csv('Asian4.csv') | |
raced<-read_csv("RACED.csv") |
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#load packages | |
library(ggplot2) | |
library(RColorBrewer) | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(scales) | |
#Read data | |
a <- read.csv('Mexican2.csv') |
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#load packages | |
library(ggplot2) | |
library(RColorBrewer) | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(scales) | |
#Import data | |
raw_data <- read.csv("usa_00016.csv") | |
#Remove data from Alaska and Hawaii before 1960, Only people over 18, Only Women, Only people in the workforce |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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#load packages | |
library(ggplot2) | |
library(RColorBrewer) | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(scales) | |
#Import data | |
data<- read_csv("usa_00022.csv") | |
#Remove data from Alaska and Hawaii before 1960 |