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R code to clean the data
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R code to clean the data
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#Read in packages
library('tidyverse')
library('stargazer')
#Read in MSA data
MSA00 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA00.csv")
MSA01 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA01.csv")
MSA02 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA02.csv")
MSA03 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA03.csv")
MSA04 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA04.csv")
MSA05 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA05.csv")
MSA06 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA06.csv")
MSA07 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA07.csv")
MSA08 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA08.csv")
MSA09 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA09.csv")
MSA10 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA10.csv")
MSA11 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA11.csv")
MSA12 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA12.csv")
MSA13 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA13.csv")
MSA14 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA14.csv")
MSA15 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA15.csv")
MSA16 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA16.csv")
MSA17 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA17.csv")
MSA18 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA18.csv")
MSA19 <- read.csv("C:/Users/Owner/Documents/ECON 485/Project on Crime/MSA Data/MSA19.csv")
#Clean Data
MSA00 <- MSA00 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
MSA01 <- MSA01 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A.|
|Washington, D.C.-MD-VA-WV M.S.A.|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro-Winston-Salem-High Point, NC M.S.A.|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA02 <- MSA02 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A|
|Washington, D.C.-MD-VA-WV M.S.A|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro--Winston-Salem--High Point, NC M.S.A|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA03 <- MSA03 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A|
|Washington, D.C.-MD-VA-WV M.S.A|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro-Winston-Salem-High Point, NC M.S.A.|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA04 <- MSA04 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A|
|Washington, D.C.-MD-VA-WV M.S.A|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro-Winston-Salem-High Point, NC M.S.A.|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA05 <- MSA05 %>%
#keep columns by index
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A|
|Washington, D.C.-MD-VA-WV M.S.A|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro-Winston-Salem-High Point, NC M.S.A.|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA06 <- MSA06 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3,-4) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
select(MSA, propcrime, POP) %>%
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|
|New York, NY M.S.A.|
|Philadelphia, PA-NJ M.S.A|
|Washington, D.C.-MD-VA-WV M.S.A|
|Detroit, MI M.S.A.|
|Houston, TX M.S.A.|
|Boston, MA-NH M.S.A.|
|Dallas, TX M.S.A.|
|Riverside-San Bernardino, CA M.S.A.|
|Phoenix-Mesa, AZ M.S.A.|
|Minneapolis-St. Paul, MN-WI M.S.A.|
|San Diego, CA M.S.A.|
|Orange County, CA M.S.A.|
|Baltimore, MD M.S.A.|
|Tampa-St. Petersburg-Clearwater, FL M.S.A.|
|Oakland, CA M.S.A.|
|Pittsburgh, PA M.S.A.|
|Seattle-Bellevue-Everett, WA M.S.A.|
|Miami, FL M.S.A.|
|Denver, CO M.S.A.|
|Newark, NJ M.S.A.|
|Portland-Vancouver, OR-WA M.S.A.|
|San Francisco, CA M.S.A.|
|Fort Worth-Arlington, TX M.S.A.|
|San Jose, CA M.S.A.|
|San Antonio, TX M.S.A.|
|Fort Lauderdale, FL M.S.A.|
|Orlando, FL M.S.A.|
|Las Vegas, NV-AZ M.S.A.|
|Milwaukee-Waukesha, WI M.S.A.|
|Bergen-Passaic, NJ M.S.A.|
|Salt Lake City-Ogden, UT M.S.A.|
|New Orleans, LA M.S.A.|
|Greensboro-Winston-Salem-High Point, NC M.S.A.|
|Nashville, TN M.S.A.|
|Buffalo-Niagara Falls, NY M.S.A.|
|Austin-San Marcos, TX M.S.A.|
|Middlesex-Somerset-Hunterdon, NJ M.S.A.|
|Raleigh-Durham-Chapel Hill, NC M.S.A.|
|Memphis, TN-AR-MS M.S.A.4|
|Monmouth-Ocean, NJ M.S.A.|
|Rochester, NY M.S.A.|
|Jacksonville, FL M.S.A.|
|West Palm Beach-Boca Raton, FL M.S.A.|
|Oklahoma City, OK M.S.A.|
|Grand Rapids-Muskegon-Holland, MI M.S.A.'))
MSA07 <- MSA07 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA08 <- MSA08 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA09 <- MSA09 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA10 <- MSA10 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA11 <- MSA11 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA12 <- MSA12 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA13 <- MSA13 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA14 <- MSA14 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA15 <- MSA15 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA16 <- MSA16 %>%
#keep columns by index
select(Table.4, X, X.4) %>%
#Rename Columns
rename(MSA = Table.4) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA17 <- MSA17 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA18 <- MSA18 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)
MSA19 <- MSA19 %>%
#keep columns by index
select(Table.6, X, X.4) %>%
#Rename Columns
rename(MSA = Table.6) %>%
rename(POP = X) %>%
rename(PropCrime = X.4) %>%
#Remove rows 1,2,3
slice(-1,-2,-3) %>%
#Remove rows that do not contain partial string "Rate" or the MSA we want
filter(str_detect(MSA, "M.S.A|Rate")) %>%
#Shift Rate per 100,000 up one row
mutate(propcrime = lead(PropCrime)) %>%
#Remove the last pieces of garbage
filter(str_detect(MSA, 'Los Angeles-Long Beach, CA M.S.A.|New York, NY M.S.A.|Philadelphia, PA-NJ M.S.A.|Washington, D.C.-MD-VA-WV M.S.A.|Detroit, MI M.S.A.|Houston, TX M.S.A.|Boston, MA-NH M.S.A.|Dallas, TX M.S.A.|Riverside-San Bernardino, CA M.S.A.|Phoenix-Mesa, AZ M.S.A.|Minneapolis-St. Paul, MN-WI M.S.A.7|San Diego, CA M.S.A.|Orange County, CA M.S.A.|Baltimore, MD M.S.A.4|Tampa-St. Petersburg-Clearwater, FL M.S.A.|Oakland, CA M.S.A.|Pittsburgh, PA M.S.A.|Seattle-Bellevue-Everett, WA M.S.A.|Miami, FL M.S.A.|Denver, CO M.S.A.|Newark, NJ M.S.A.|Portland-Vancouver, OR-WA M.S.A.|San Francisco, CA M.S.A.|Fort Worth-Arlington, TX M.S.A.|San Jose, CA M.S.A.|San Antonio, TX M.S.A.|Fort Lauderdale, FL M.S.A.|Orlando, FL M.S.A.|Las Vegas, NV-AZ M.S.A.|Milwaukee-Waukesha, WI M.S.A.|Bergen-Passaic, NJ M.S.A.|Salt Lake City-Ogden, UT M.S.A.|New Orleans, LA M.S.A.|Greensboro-Winston-Salem-High Point, NC M.S.A.|Nashville, TN M.S.A.4|Buffalo-Niagara Falls, NY M.S.A.|Austin-San Marcos, TX M.S.A.4|Middlesex-Somerset-Hunterdon, NJ M.S.A.|Raleigh-Durham-Chapel Hill, NC M.S.A.|Memphis, TN-AR-MS M.S.A.4|Monmouth-Ocean, NJ M.S.A.|Rochester, NY M.S.A.|Jacksonville, FL M.S.A.|West Palm Beach-Boca Raton, FL M.S.A.|Oklahoma City, OK M.S.A.|Grand Rapids-Muskegon-Holland, MI M.S.A.')) %>%
select(MSA, propcrime, POP)