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# QSS 30--Final Project
# Race Chart
## Clear file and load necessary packages
rm(list = ls())
library(dplyr)
library(tidyr)
library(ggplot2)
# setting working directory
# QSS 30--Final Project
# Race Chart
## Clear file and load necessary packages
rm(list = ls())
library(dplyr)
library(tidyr)
library(ggplot2)
# setting working directory
# Lab 7: Income Analysis
# Terren Klein
# 10/31/16
# Load packages
library(dplyr)
library(ggplot2)
library(gtools)
library(maptools)
library(readr)
# QSS 30--Final Project
# Race Chart
## Clear file and load necessary packages
rm(list = ls())
library(dplyr)
library(tidyr)
library(ggplot2)
# setting working directory
#Lab 6--Terren Klein
# Clear objects
rm(list = ls())
# Load Packages
library(readr)
library(dplyr)
library(ggplot2)
library(RColorBrewer)
#Lab 5--Terren Klein
#White population of the US who were born in the Midwest over the period of 1900-2000
#Load packages
library(readr)
library(dplyr)
library(ggplot2)
library(RColorBrewer)
library(ggmap)
library(maptools)
#Script for Lab_4
#Terren Klein
#Hist 90.01 | QSS 30.05
#Load packages
library(readr)
library(dplyr)
library(ggplot2)
library(RColorBrewer)
# Lab 3
# Terren Klein--September 30th
# Directions: Write a program that makes a two figures that
# describe the working-aged (15-65) population of the continental
# United States between 1870 and 1920 in terms of age, race, region,
# woccupation, and industry.
## Remove all variables
rm(list = ls())
# Lab 3
# Terren Klein--September 30th
# Directions: Write a program that makes a two figures that
# describe the working-aged (15-65) population of the continental
# United States between 1870 and 1920 in terms of age, race, region,
# woccupation, and industry.
## Remove all variables
rm(list = ls())
# Lab 2
# Terren Klein--September 20th
# Directions: Write a program that makes a table showing the number
# of people in each RACED category for each census from 1870 to 1940
# (except 1890), using IPUMS 1% samples and weighting by PERWT.
# Remember to exclude Alaska and Hawaii.
## Remove all variables
rm(list = ls())