#open packages
#download dataset
library(censusxy)
library(readr)
add<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS data_wic.csv")
#view data
head(add)
## Source Date Obsolescence.Date
## 1 AtoZDatabases 02/23/2023 08/23/2023
## 2 AtoZDatabases 02/23/2023 08/23/2023
## 3 AtoZDatabases 02/23/2023 08/23/2023
## 4 AtoZDatabases 02/23/2023 08/23/2023
## 5 AtoZDatabases 02/23/2023 08/23/2023
## 6 AtoZDatabases 02/23/2023 08/23/2023
## Business.Name Legal.Name
## 1 Executive Profiles
## 2 Methodist Hospital Texsan
## 3 Central Cardiovascular Inst of San Antonio Central Cardiovascular-San Ant
## 4 Texas Diabetes Institute
## 5 Community First Health Plans
## 6 Boys Town Boys Town Texas Inc
## Physical.Address Physical.Address.Number Physical.Pre.Direction
## 1 419 S Main Ave 419 S
## 2 6700 W Interstate 10 6700 W
## 3 6800 W Interstate 10 Ste 200 6800 W
## 4 527 N Leona St 527 N
## 5 1410 Guadalupe St Ste 222 1410
## 6 503 Urban Loop 503
## Physical.Address.Name Physical.Address.Suffix Physical.Post.Direction
## 1 Main Ave NA
## 2 Interstate NA
## 3 Interstate NA
## 4 Leona St NA
## 5 Guadalupe St NA
## 6 Urban Loop NA
## Physical.City Physical.State Physical.ZIP Physical.ZIP.4 Key.Executive.Name
## 1 San Antonio TX 78204 NA Fred Hernandez
## 2 San Antonio TX 78201 2009 Amanda Wood
## 3 San Antonio TX 78201 2041 Evelyn Sosa
## 4 San Antonio TX 78207 NA Roberta Washburn
## 5 San Antonio TX 78207 5526 Stephen Bishop
## 6 San Antonio TX 78204 3115 Janie Cook
## First.Name Middle.Initial Last.Name Title Gender
## 1 Fred Z Hernandez Owner Male
## 2 Amanda Wood Executive Officer Male
## 3 Evelyn Sosa Executive Officer Female
## 4 Roberta Washburn Other Contacts Female
## 5 Stephen Bishop Manager Male
## 6 Janie Cook Executive Officer Female
## Location.Employee.Size Corporate.Employee.Size Revenue...Yr
## 1 2,613 $94,483,000
## 2 300 2,575 $34,836,000
## 3 165 $10,467,000
## 4 200 $6,381,000
## 5 167 $6,163,000
## 6 25 3,536 $1,996,000
## Mailing.Address Mailing.Address.Number Mailing.Pre.Direction
## 1 NA
## 2 6700 W Interstate 10 6700 W
## 3 6800 W Interstate 10 Ste 200 6800 W
## 4 NA
## 5 1410 Guadalupe St Ste 222 1410
## 6 503 Urban Loop 503
## Mailing.Address.Name Mailing.Address.Suffix Mailing.Post.Direction
## 1 NA
## 2 Interstate NA
## 3 Interstate NA
## 4 NA
## 5 Guadalupe St NA
## 6 Urban Loop NA
## Mailing.City Mailing.State Mailing.ZIP Mailing.ZIP.4 Phone
## 1 NA NA (210) 227-2707
## 2 San Antonio TX 78201 2009 (210) 736-6700
## 3 San Antonio TX 78201 2041 (210) 271-3203
## 4 NA NA (210) 358-3757
## 5 San Antonio TX 78207 5526 (210) 227-2347
## 6 San Antonio TX 78204 3115 (210) 271-1010
## Fax Toll.Free County.Name County.Population
## 1 (210) 225-7751 N/A Bexar 500,000 or more
## 2 N/A N/A Bexar 500,000 or more
## 3 N/A N/A Bexar 500,000 or more
## 4 (210) 358-7406 N/A Bexar 500,000 or more
## 5 (210) 358-6170 (800) 434-2347 Bexar 500,000 or more
## 6 (210) 271-3333 N/A Bexar 500,000 or more
## Metro.Area Latitude Longitude EIN
## 1 San Antonio-New Braunfels, TX 29.42071 -98.49487 NA
## 2 San Antonio-New Braunfels, TX 29.49032 -98.54667 NA
## 3 San Antonio-New Braunfels, TX 29.49050 -98.54756 NA
## 4 San Antonio-New Braunfels, TX 29.43179 -98.50210 NA
## 5 San Antonio-New Braunfels, TX 29.41829 -98.51601 NA
## 6 San Antonio-New Braunfels, TX 29.42086 -98.50099 NA
## Main.Line.of.Business Location.Type Importer.or.Exporter
## 1 Counselors & Counseling Services NA
## 2 Hospitals Branch NA
## 3 Physicians & Surgeons NA
## 4 Diabetes Information Centers NA
## 5 Health Maintenance Organizations NA
## 6 Rehabilitation Treatment Center Branch NA
## Manufacturer Primary.SIC Primary.SIC.Description SIC02
## 1 No 8322002 Counselors & Counseling Services NA
## 2 No 8062001 Hospitals 8011001
## 3 No 8011001 Physicians & Surgeons 8322124
## 4 No 8322077 Diabetes Information Centers NA
## 5 No 8099023 Health Maintenance Organizations 6324001
## 6 No 8093002 Rehabilitation Treatment Center 8322002
## SIC02.Description SIC03
## 1 NA
## 2 Physicians & Surgeons 8049001
## 3 Heart Disease Information & Treatment 8011161
## 4 NA
## 5 Hospital & Medical Insurance Plan Carriers 8322090
## 6 Counselors & Counseling Services 8361012
## SIC03.Description SIC04
## 1 NA
## 2 Health Practitioners 8322008
## 3 Internal Medicine 8011219
## 4 NA
## 5 Health Programs Information & Referral Services 6324006
## 6 Group Homes NA
## SIC04.Description SIC05 SIC05.Description SIC06
## 1 NA NA
## 2 Rehabilitation Services 8011161 Internal Medicine 8011141
## 3 Pediatrics 8011115 Cardiovascular Disease 8011162
## 4 NA NA
## 5 Health Insurance Plan Carriers NA NA
## 6 NA NA
## SIC06.Description SIC07 SIC07.Description SIC08
## 1 NA NA
## 2 Emergency Medicine 8011189 Orthopedic Surgery 8011140
## 3 Interventional Cardiology 8011197 Pediatric Cardiology NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## SIC08.Description SIC09 SIC09.Description SIC10
## 1 NA NA
## 2 Emergency Medical Services 8049097 Therapy 8011190
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## SIC10.Description NAICS.1
## 1 624190
## 2 Orthopedic Surgery of the Spine 622110
## 3 621111
## 4 624190
## 5 621491
## 6 621498
## NAICS.1.Description NAICS.2
## 1 Other Individual and Family Services NA
## 2 General Medical and Surgical Hospitals 621111
## 3 Offices of Physicians (except Mental Health Specialists) 624190
## 4 Other Individual and Family Services NA
## 5 HMO Medical Centers 524114
## 6 All Other Outpatient Care Centers 624190
## NAICS.2.Description NAICS.3
## 1 NA
## 2 Offices of Physicians (except Mental Health Specialists) 621399
## 3 Other Individual and Family Services NA
## 4 NA
## 5 Direct Health and Medical Insurance Carriers 624190
## 6 Other Individual and Family Services 623220
## NAICS.3.Description NAICS.4
## 1 NA
## 2 Offices of All Other Miscellaneous Health Practitioners 624190
## 3 NA
## 4 NA
## 5 Other Individual and Family Services NA
## 6 Residential Mental Health and Substance Abuse Facilities NA
## NAICS.4.Description NAICS.5 NAICS.5.Description NAICS.6
## 1 NA NA
## 2 Other Individual and Family Services NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## NAICS.6.Description NAICS.7 NAICS.7.Description NAICS.8 NAICS.8.Description
## 1 NA NA NA NA
## 2 NA NA NA NA
## 3 NA NA NA NA
## 4 NA NA NA NA
## 5 NA NA NA NA
## 6 NA NA NA NA
## NAICS.9 NAICS.9.Description NAICS.10 NAICS.10.Description Non.Profit
## 1 NA NA NA NA No
## 2 NA NA NA NA No
## 3 NA NA NA NA No
## 4 NA NA NA NA No
## 5 NA NA NA NA No
## 6 NA NA NA NA No
## Number.of.PCs Public...Private Small.Business Square.Footage
## 1 500 or more Private No 50,000 or more
## 2 500 or more Private No 50,000 or more
## 3 100 to 499 Private No 10,000 to 49,999
## 4 100 to 499 Private No 10,000 to 49,999
## 5 100 to 499 Private No 10,000 to 49,999
## 6 25 to 99 Private No 5,000 to 9,999
## Website Women.Owned Year.Established Ticker.Symbol
## 1 www.sanantonio.gov Yes 2001 NA
## 2 www.sahealth.com No 1988 NA
## 3 No 2011 NA
## 4 www.universityhealthsystem.com No 2010 NA
## 5 www.cfhp.com No 2004 NA
## 6 www.boystown.org No 1917 NA
## Stock.Exchange Fortune.1000.Ranking Credit.Score X2021.Revenue.Yr
## 1 NA NA 0 984000
## 2 NA NA 0 34836000
## 3 NA NA 0 10467000
## 4 NA NA 0 6381000
## 5 NA NA 0 6163000
## 6 NA NA 0 1996000
## X2020.Revenue.Yr X2019.Revenue.Yr X2018.Revenue.Yr X2020...Sales.Growth
## 1 132909 132909 132909 640
## 2 50276772 50276772 51785075 -31
## 3 30281351 30281351 30097828 -65
## 4 13290914 13290914 13623187 -52
## 5 23557630 23557630 24827202 -74
## 6 3526591 3526591 2821273 -43
## X2019...Sales.Growth X2018...Sales.Growth X2021.Employees X2020.Employees
## 1 0 0 16 2
## 2 0 -3 300 300
## 3 0 1 165 165
## 4 0 -2 200 200
## 5 0 -5 167 167
## 6 0 25 25 25
## X2019.Employees X2018.Employees X2020...Employee.Growth
## 1 2 2 700
## 2 300 309 0
## 3 165 164 0
## 4 200 205 0
## 5 167 176 0
## 6 25 20 0
## X2019...Employee.Growth X2018...Employee.Growth Executive.First.Name.1
## 1 0 0 Fred
## 2 0 -3 Amanda
## 3 0 1 Evelyn
## 4 0 -2 Roberta
## 5 0 -5 Stephen
## 6 0 25 Janie
## Executive.Last.Name.1 Executive.Title.1 Executive.Gender.1
## 1 Hernandez Owner Male
## 2 Wood Executive Officer Male
## 3 Sosa Executive Officer Female
## 4 Washburn Other Contacts Female
## 5 Bishop Manager Male
## 6 Cook Executive Officer Female
## Executive.Department.1 Executive.First.Name.2 Executive.Last.Name.2
## 1 Administration & Operations Richard Oliver
## 2 Administration & Operations Suraj Maraj
## 3 Accounting & Finance Steve Burton
## 4 Health & Medical
## 5 Information Technology
## 6 Administration & Operations
## Executive.Title.2 Executive.Gender.2 Executive.Department.2
## 1 Manager Male Administration & Operations
## 2 Executive Officer Male Administration & Operations
## 3 Manager Male Information Technology
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.3 Executive.Last.Name.3 Executive.Title.3
## 1 Martha Gutierrez Manager
## 2 Janet Mirza Executive Officer
## 3 Debbie Gibbs Manager
## 4
## 5
## 6
## Executive.Gender.3 Executive.Department.3 Executive.First.Name.4
## 1 Female Human Resources Victoria
## 2 Female Administration & Operations
## 3 Female Human Resources Linda
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.4 Executive.Title.4 Executive.Gender.4
## 1 Shoemaker Manager Female
## 2
## 3 Sherman Manager Female
## 4
## 5
## 6
## Executive.Department.4 Executive.First.Name.5 Executive.Last.Name.5
## 1 Administration & Operations Marcel Lemelle
## 2 <NA>
## 3 Purchasing
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.5 Executive.Gender.5 Executive.Department.5
## 1 Other Contacts Male Legal
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.6 Executive.Last.Name.6 Executive.Title.6
## 1
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.6 Executive.Department.6 Executive.First.Name.7
## 1 <NA>
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.7 Executive.Title.7 Executive.Gender.7
## 1
## 2
## 3
## 4
## 5
## 6
## Executive.Department.7 Executive.First.Name.8 Executive.Last.Name.8
## 1 <NA>
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.8 Executive.Gender.8 Executive.Department.8
## 1 <NA>
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.9 Executive.Last.Name.9 Executive.Title.9
## 1
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.9 Executive.Department.9 Executive.First.Name.10
## 1 <NA> NA
## 2 <NA> NA
## 3 <NA> NA
## 4 <NA> NA
## 5 <NA> NA
## 6 <NA> NA
## Executive.Last.Name.10 Executive.Title.10 Executive.Gender.10
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Department.10 Executive.First.Name.11 Executive.Last.Name.11
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Title.11 Executive.Gender.11 Executive.Department.11
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.First.Name.12 Executive.Last.Name.12 Executive.Title.12
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Gender.12 Executive.Department.12 Executive.First.Name.13
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Last.Name.13 Executive.Title.13 Executive.Gender.13
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Department.13 Executive.First.Name.14 Executive.Last.Name.14
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Title.14 Executive.Gender.14 Executive.Department.14
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.First.Name.15 Executive.Last.Name.15 Executive.Title.15
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Gender.15 Executive.Department.15 Executive.First.Name.16
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Last.Name.16 Executive.Title.16 Executive.Gender.16
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Department.16 Executive.First.Name.17 Executive.Last.Name.17
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Title.17 Executive.Gender.17 Executive.Department.17
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.First.Name.18 Executive.Last.Name.18 Executive.Title.18
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Gender.18 Executive.Department.18 Executive.First.Name.19
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Last.Name.19 Executive.Title.19 Executive.Gender.19
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Department.19 Executive.First.Name.20 Executive.Last.Name.20
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Executive.Title.20 Executive.Gender.20 Executive.Department.20
## 1 NA NA NA
## 2 NA NA NA
## 3 NA NA NA
## 4 NA NA NA
## 5 NA NA NA
## 6 NA NA NA
## Est..Accounting.Annual.Expense Est..Advertising.Annual.Expense
## 1 $100,000 or more
## 2 $100,000 or more
## 3 $100,000 or more
## 4 $100,000 or more
## 5 $100,000 or more
## 6 $5,000 to $24,999
## Est..Business.Insurance.Annual.Expense Est..Legal.Annual.Expense
## 1 $100,000 or more
## 2 $100,000 or more
## 3 $100,000 or more
## 4 $100,000 or more
## 5 $100,000 or more
## 6 $20,000 to $49,999
## Est..Office.Equipment.Annual.Expense Est..Rent.Annual.Expense
## 1 $100,000 or more $100,000 or more
## 2 $100,000 or more $100,000 or more
## 3 $100,000 or more $100,000 or more
## 4 $100,000 or more $100,000 or more
## 5 $100,000 or more $100,000 or more
## 6 $25,000 to $99,999 $25,000 to $99,999
## Est..Technology.Annual.Expense Est..Telecom.Annual.Expense
## 1 $100,000 or more $100,000 or more
## 2 $100,000 or more $100,000 or more
## 3 $100,000 or more $25,000 to $99,999
## 4 $100,000 or more $100,000 or more
## 5 $100,000 or more $25,000 to $99,999
## 6 $25,000 to $99,999 $10,000 to $24,999
## Est..Utilities.Annual.Expense AtoZ.ID Home.Based.Business Franchise.Type
## 1 $100,000 or more 1.113254e+13 No
## 2 $100,000 or more 1.113255e+13 No
## 3 $100,000 or more 1.113255e+13 No
## 4 $100,000 or more 1.113255e+13 No
## 5 $100,000 or more 1.113255e+13 No
## 6 $20,000 to $49,999 1.113255e+13 No Chain Location
## Holding.Parent.Name Source.1
## 1 NA AtoZDatabases
## 2 NA AtoZDatabases
## 3 NA AtoZDatabases
## 4 NA AtoZDatabases
## 5 NA AtoZDatabases
## 6 NA AtoZDatabases
#cut data down to what is necessary
addr<-add[c(6, 12:14)]
names(addr)<-c("street", "city", "st", "zip")
head(addr)
## street city st zip
## 1 419 S Main Ave San Antonio TX 78204
## 2 6700 W Interstate 10 San Antonio TX 78201
## 3 6800 W Interstate 10 Ste 200 San Antonio TX 78201
## 4 527 N Leona St San Antonio TX 78207
## 5 1410 Guadalupe St Ste 222 San Antonio TX 78207
## 6 503 Urban Loop San Antonio TX 78204
library(censusxy)
results<-cxy_geocode(addr,
street = "street",
city = "city",
state ="st",
zip = "zip",
class="sf",
output = "simple")
## 5 rows removed to create an sf object. These were addresses that the geocoder could not match.
WIC services map
Author: R. Luttinen
Data Source: U.S. Census Bureau and atozdatabases.com
#basic map
library(mapview)
mapview(results, layer.name="WIC Services")
#longitude and latitude
library(sf)
## Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUE
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
addLL<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS data_wic.csv")
resultsWIC <- st_as_sf(addLL, coords=c("Longitude", "Latitude"), crs=4269,agr="constant")
resultsWIC.proj<-st_transform(resultsWIC,
crs = 2278)
WIC services map w/ Longitude and Latitude
Author: R. Luttinen
Data Source: U.S. Census Bureau and atozdatabases.com
#map with longitude and latitutde
mapview(resultsWIC.proj)
#read in data for grocery stores
groc<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS_groc (1).csv")
#view data
head(groc)
## Source Date Obsolescence.Date Business.Name Legal.Name
## 1 AtoZDatabases 2/28/2023 8/28/2023 Surlean Foods
## 2 AtoZDatabases 2/28/2023 8/28/2023 Super Target
## 3 AtoZDatabases 2/28/2023 8/28/2023 Pico De Gallo
## 4 AtoZDatabases 2/28/2023 8/28/2023 Target Target Optical
## 5 AtoZDatabases 2/28/2023 8/28/2023 H-E-B LP
## 6 AtoZDatabases 2/28/2023 8/28/2023 Balcones Food Store
## Physical.Address Physical.Address.Number Physical.Pre.Direction
## 1 1545 S San Marcos 1545 S
## 2 4522 Fredericksburg Rd 4522
## 3 111 S Leona St 111 S
## 4 4522 Fredericksburg Rd 4522
## 5 3485 Fredericksburg Rd 3485
## 6 3309 Hillcrest Dr 3309
## Physical.Address.Name Physical.Address.Suffix Physical.Post.Direction
## 1 San Marcos NA
## 2 Fredericks Rd NA
## 3 Leona St NA
## 4 Fredericks Rd NA
## 5 Fredericks Rd NA
## 6 Hillcrest Dr NA
## Physical.City Physical.State Physical.ZIP Physical.ZIP.4 Key.Executive.Name
## 1 San Antonio TX 78207 7033 Daryl Scott
## 2 San Antonio TX 78201 6521 Reba Jolly
## 3 San Antonio TX 78207 4417 Ruben Cortez
## 4 San Antonio TX 78201 6521 Jose Deleon
## 5 San Antonio TX 78201 3848 Pamela Oconnor
## 6 San Antonio TX 78201 7045
## First.Name Middle.Initial Last.Name Title Gender
## 1 Daryl Scott Chief Executive Officer Male
## 2 Reba Jolly Executive Officer Female
## 3 Ruben Cortez President Male
## 4 Jose Deleon Office Manager Unknown
## 5 Pamela Mathews Oconnor Controller Female
## 6
## Location.Employee.Size Corporate.Employee.Size Revenue...Yr
## 1 308 308 $18,205,000
## 2 115 450,000 $8,436,000
## 3 167 699 $6,511,000
## 4 30 450,000 $3,089,000
## 5 40 45,000 $3,038,000
## 6 40 $2,734,000
## Mailing.Address Mailing.Address.Number Mailing.Pre.Direction
## 1 PO Box 831449 831449
## 2 4522 Fredericksburg Rd 4522
## 3 111 S Leona St 111 S
## 4 4522 Fredericksburg Rd 4522
## 5 3485 Fredericksburg Rd 3485
## 6 3309 Hillcrest Dr 3309
## Mailing.Address.Name Mailing.Address.Suffix Mailing.Post.Direction
## 1 PO Box NA
## 2 Fredericks Rd NA
## 3 Leona St NA
## 4 Fredericks Rd NA
## 5 Fredericks Rd NA
## 6 Hillcrest Dr NA
## Mailing.City Mailing.State Mailing.ZIP Mailing.ZIP.4 Phone
## 1 San Antonio TX 78283 1449 (210) 227-4370
## 2 San Antonio TX 78201 6521 (210) 280-0000
## 3 San Antonio TX 78207 4417 (210) 225-6060
## 4 San Antonio TX 78201 6521 (210) 280-0003
## 5 San Antonio TX 78201 3848 (210) 731-6168
## 6 San Antonio TX 78201 7045 (210) 437-0008
## Fax Toll.Free County.Name County.Population
## 1 (210) 226-4208 N/A Bexar 500,000 or more
## 2 N/A (800) 440-0680 Bexar 500,000 or more
## 3 (210) 225-7344 N/A Bexar 500,000 or more
## 4 N/A (800) 440-0680 Bexar 500,000 or more
## 5 N/A (800) 432-3113 Bexar 500,000 or more
## 6 N/A N/A Bexar 500,000 or more
## Metro.Area Latitude Longitude EIN Main.Line.of.Business
## 1 San Antonio-New Braunfels, TX 29.41095 -98.51111 NA Supermarkets
## 2 San Antonio-New Braunfels, TX 29.49166 -98.55085 NA Department Stores
## 3 San Antonio-New Braunfels, TX 29.42542 -98.50283 NA Restaurants
## 4 San Antonio-New Braunfels, TX 29.49166 -98.55085 NA Department Stores
## 5 San Antonio-New Braunfels, TX 29.47547 -98.53889 NA Grocery Stores
## 6 San Antonio-New Braunfels, TX 29.49173 -98.55468 NA Grocery Stores
## Location.Type Importer.or.Exporter Manufacturer Primary.SIC
## 1 NA Yes 5411003
## 2 Branch NA No 5311001
## 3 Branch NA No 5812001
## 4 Branch NA No 5311001
## 5 Branch NA No 5411001
## 6 NA No 5411001
## Primary.SIC.Description SIC02 SIC02.Description SIC03
## 1 Supermarkets 5499001 Misc Food Stores 5421002
## 2 Department Stores 5411001 Grocery Stores 5812020
## 3 Restaurants 5411001 Grocery Stores 5812006
## 4 Department Stores 5712001 Furniture Stores 5411001
## 5 Grocery Stores 5912005 Health Care Products Stores 5963037
## 6 Grocery Stores NA NA
## SIC03.Description SIC04 SIC04.Description SIC05
## 1 Meat Markets 2013001 Sausages & Other Prepared Meat Production NA
## 2 Delicatessens 5461001 Bakeries 5912003
## 3 Caterers 5812011 Mexican Restaurants 5411020
## 4 Grocery Stores 5331001 Variety Stores 5912003
## 5 Household Products 5441001 Candy, Nut, & Confectionery Stores 5431001
## 6 NA NA
## SIC05.Description SIC06 SIC06.Description SIC07
## 1 NA NA
## 2 Drug Stores 5963037 Household Products 5912005
## 3 Ethnic Grocery Stores NA NA
## 4 Drug Stores 5941001 Sporting Goods & Bicycle Stores 5731001
## 5 Fruit & Vegetable Markets 5451001 Dairy Products Stores 5411015
## 6 NA NA
## SIC07.Description SIC08
## 1 NA
## 2 Health Care Products Stores 7384001
## 3 NA
## 4 Radio, Television, & Consumer Electronics Retail Stores 5651001
## 5 Food Markets 5461001
## 6 NA
## SIC08.Description SIC09 SIC09.Description SIC10
## 1 NA NA
## 2 Photofinishing Laboratories 5999005 Pet Food & Supply Stores 5712001
## 3 NA NA
## 4 Family Clothing Stores 5912005 Health Care Products Stores NA
## 5 Bakeries 5912003 Drug Stores 5411003
## 6 NA NA
## SIC10.Description NAICS.1
## 1 445110
## 2 Furniture Stores 455110
## 3 722511
## 4 455110
## 5 Supermarkets 445110
## 6 445110
## NAICS.1.Description NAICS.2
## 1 Supermarkets and Other Grocery (except Convenience) Stores 445298
## 2 Department Stores 445110
## 3 Full-Service Restaurants 445110
## 4 Department Stores 449110
## 5 Supermarkets and Other Grocery (except Convenience) Stores 459999
## 6 Supermarkets and Other Grocery (except Convenience) Stores NA
## NAICS.2.Description NAICS.3
## 1 All Other Specialty Food Retailers 445240
## 2 Supermarkets and Other Grocery (except Convenience) Stores 722513
## 3 Supermarkets and Other Grocery (except Convenience) Stores 722320
## 4 Furniture Retailers 445110
## 5 All Other Miscellaneous Retailers 445292
## 6 NA
## NAICS.3.Description NAICS.4
## 1 Meat Retailers 311612
## 2 Limited-Service Restaurants 311811
## 3 Caterers NA
## 4 Supermarkets and Other Grocery (except Convenience) Stores 455219
## 5 Confectionery and Nut Stores 445230
## 6 NA
## NAICS.4.Description NAICS.5
## 1 Meat Processed from Carcasses NA
## 2 Retail Bakeries 456110
## 3 NA
## 4 All Other General Merchandise Retailers 456110
## 5 Fruit and Vegetable Markets 445298
## 6 NA
## NAICS.5.Description NAICS.6 NAICS.6.Description
## 1 NA
## 2 Pharmacies and Drug Retailers 459999 All Other Miscellaneous Retailers
## 3 NA
## 4 Pharmacies and Drug Retailers 459110 Sporting Goods Retailers
## 5 All Other Specialty Food Retailers 311811 Retail Bakeries
## 6 NA
## NAICS.7 NAICS.7.Description NAICS.8
## 1 NA NA
## 2 812921 Photofinishing Laboratories (except One-Hour) 459910
## 3 NA NA
## 4 449210 Electronics and Appliance Retailers 458110
## 5 456110 Pharmacies and Drug Retailers NA
## 6 NA NA
## NAICS.8.Description NAICS.9 NAICS.9.Description
## 1 NA
## 2 Pet and Pet Supplies Retailers 449110 Furniture Retailers
## 3 NA
## 4 Clothing and Clothing Accessories Retailers NA
## 5 NA
## 6 NA
## NAICS.10 NAICS.10.Description Non.Profit Number.of.PCs Public...Private
## 1 NA NA No 100 to 499 Private
## 2 NA NA No 25 to 99 Public
## 3 NA NA No 100 to 499 Private
## 4 NA NA No 10 to 24 Public
## 5 NA NA No 10 to 24 Private
## 6 NA NA No 10 to 24 Private
## Small.Business Square.Footage Website Women.Owned
## 1 No 50,000 or more www.surleanfoods.com No
## 2 No 10,000 to 49,999 www.target.com No
## 3 No 50,000 or more www.picodegallo.com No
## 4 No 5,000 to 9,999 www.target.com No
## 5 No 10,000 to 49,999 www.heb.com No
## 6 Yes 10,000 to 49,999 No
## Year.Established Ticker.Symbol Stock.Exchange Fortune.1000.Ranking
## 1 1984 NA NA NA
## 2 1902 NA NA NA
## 3 1941 NA NA NA
## 4 1902 NA NA NA
## 5 1905 NA NA NA
## 6 2019 NA NA NA
## Credit.Score X2022.Revenue.Yr X2021.Revenue.Yr X2020.Revenue.Yr
## 1 100 18205000 67120053 67120053
## 2 100 8170000 22808258 22808258
## 3 100 6511000 23839382 23839382
## 4 100 2991000 594998 594998
## 5 95 3646000 8716890 8716890
## 6 80 3221000 3188790 3284454
## X2019.Revenue.Yr X2021...Sales.Growth X2020...Sales.Growth
## 1 67120053 -73 0
## 2 24791585 -64 0
## 3 22554625 -73 0
## 4 396665 403 0
## 5 8281046 -58 0
## 6 0 1 -3
## X2019...Sales.Growth X2022.Employees X2021.Employees X2020.Employees
## 1 0 308 308 308
## 2 -8 115 115 115
## 3 6 167 167 167
## 4 50 30 32 34
## 5 5 40 40 40
## 6 0 40 41 41
## X2019.Employees X2021...Employee.Growth X2020...Employee.Growth
## 1 308 0 0
## 2 125 0 0
## 3 158 0 0
## 4 33 -6 -6
## 5 38 0 0
## 6 NA -2 0
## X2019...Employee.Growth Executive.First.Name.1 Executive.Last.Name.1
## 1 0 Daryl Scott
## 2 -8 Reba Jolly
## 3 6 Ruben Cortez
## 4 3 Jose Deleon
## 5 5 Pamela Oconnor
## 6 0
## Executive.Title.1 Executive.Gender.1 Executive.Department.1
## 1 Chief Executive Officer Male Administration & Operations
## 2 Executive Officer Female Administration & Operations
## 3 President Male Administration & Operations
## 4 Office Manager Unknown Administration & Operations
## 5 Controller Female Accounting & Finance
## 6
## Executive.First.Name.2 Executive.Last.Name.2
## 1 Travis Holmes
## 2
## 3
## 4 Phil Cuellar
## 5
## 6
## Executive.Title.2 Executive.Gender.2
## 1 Chief Technology Officer Chief Information Officer Male
## 2
## 3
## 4 Manager Male
## 5
## 6
## Executive.Department.2 Executive.First.Name.3 Executive.Last.Name.3
## 1 Administration & Operations Hugo Hernandez
## 2 <NA>
## 3 <NA>
## 4 Administration & Operations
## 5 <NA>
## 6 <NA>
## Executive.Title.3 Executive.Gender.3 Executive.Department.3
## 1 Superintendent Male Production
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.4 Executive.Last.Name.4 Executive.Title.4
## 1 Ryan Scott Executive Officer
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.4 Executive.Department.4 Executive.First.Name.5
## 1 Unknown Production Chad
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.5 Executive.Title.5 Executive.Gender.5
## 1 Wilhite Executive Officer Male
## 2
## 3
## 4
## 5
## 6
## Executive.Department.5 Executive.First.Name.6 Executive.Last.Name.6
## 1 Sales Karen Karl
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.6 Executive.Gender.6 Executive.Department.6
## 1 Executive Officer Female Sales
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.7 Executive.Last.Name.7 Executive.Title.7
## 1 Melanie Schulte Executive Officer
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.7 Executive.Department.7 Executive.First.Name.8
## 1 Female Administration & Operations Terry
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.8 Executive.Title.8 Executive.Gender.8
## 1 Black Executive Officer Unknown
## 2
## 3
## 4
## 5
## 6
## Executive.Department.8 Executive.First.Name.9 Executive.Last.Name.9
## 1 Administration & Operations Bill McKenna
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.9 Executive.Gender.9 Executive.Department.9
## 1 Executive Officer Male Administration & Operations
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.10 Executive.Last.Name.10 Executive.Title.10
## 1 Carlos Alvarado Executive Officer
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.10 Executive.Department.10 Executive.First.Name.11
## 1 Male Accounting & Finance Chip
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.11 Executive.Title.11 Executive.Gender.11
## 1 Rowland Executive Officer Male
## 2
## 3
## 4
## 5
## 6
## Executive.Department.11 Executive.First.Name.12 Executive.Last.Name.12
## 1 Administration & Operations Clancy Hall
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.12 Executive.Gender.12 Executive.Department.12
## 1 Executive Officer Male Strategic Planning & Business
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.13 Executive.Last.Name.13 Executive.Title.13
## 1 John Kalmbach Executive Officer
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.13 Executive.Department.13 Executive.First.Name.14
## 1 Male Administration & Operations Karrie
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.14 Executive.Title.14 Executive.Gender.14
## 1 Menz Executive Officer Female
## 2
## 3
## 4
## 5
## 6
## Executive.Department.14 Executive.First.Name.15 Executive.Last.Name.15
## 1 Administration & Operations Jeffrey Osburn
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.15 Executive.Gender.15 Executive.Department.15
## 1 Manager Male Strategic Planning & Business
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.16 Executive.Last.Name.16 Executive.Title.16
## 1 Ademar Orozco Manager
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.16 Executive.Department.16 Executive.First.Name.17
## 1 Male Strategic Planning & Business Arthur
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.17 Executive.Title.17 Executive.Gender.17
## 1 Conway Manager Male
## 2
## 3
## 4
## 5
## 6
## Executive.Department.17 Executive.First.Name.18 Executive.Last.Name.18
## 1 Administration & Operations Brent Robinson
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Title.18 Executive.Gender.18 Executive.Department.18
## 1 Manager Male Administration & Operations
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.First.Name.19 Executive.Last.Name.19 Executive.Title.19
## 1 Carlos Sanchez Manager
## 2
## 3
## 4
## 5
## 6
## Executive.Gender.19 Executive.Department.19 Executive.First.Name.20
## 1 Male Production Chad
## 2 <NA>
## 3 <NA>
## 4 <NA>
## 5 <NA>
## 6 <NA>
## Executive.Last.Name.20 Executive.Title.20 Executive.Gender.20
## 1 Briscoe Manager NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## Executive.Department.20 Est..Accounting.Annual.Expense
## 1 Administration & Operations $100,000 or more
## 2 <NA> $25,000 to $99,999
## 3 <NA> $100,000 or more
## 4 <NA> $5,000 to $24,999
## 5 <NA> $25,000 to $99,999
## 6 <NA> $25,000 to $99,999
## Est..Advertising.Annual.Expense Est..Business.Insurance.Annual.Expense
## 1 $100,000 or more $100,000 or more
## 2 $100,000 or more $100,000 or more
## 3 $100,000 or more $100,000 or more
## 4 $25,000 to $99,999 $20,000 to $49,999
## 5 $25,000 to $99,999 $20,000 to $49,999
## 6 $25,000 to $99,999 $20,000 to $49,999
## Est..Legal.Annual.Expense Est..Office.Equipment.Annual.Expense
## 1 $100,000 or more $100,000 or more
## 2 $100,000 or more $25,000 to $99,999
## 3 $100,000 or more $100,000 or more
## 4 $25,000 to $99,999 $10,000 to $24,999
## 5 $25,000 to $99,999 $10,000 to $24,999
## 6 $25,000 to $99,999 $10,000 to $24,999
## Est..Rent.Annual.Expense Est..Technology.Annual.Expense
## 1 $100,000 or more $100,000 or more
## 2 $100,000 or more $100,000 or more
## 3 $100,000 or more $100,000 or more
## 4 $25,000 to $99,999 $25,000 to $99,999
## 5 $25,000 to $99,999 $25,000 to $99,999
## 6 $25,000 to $99,999 $25,000 to $99,999
## Est..Telecom.Annual.Expense Est..Utilities.Annual.Expense AtoZ.ID
## 1 $25,000 to $99,999 $100,000 or more 1.11325e+13
## 2 $25,000 to $99,999 $100,000 or more 1.11326e+13
## 3 $25,000 to $99,999 $100,000 or more 1.11325e+13
## 4 $5,000 to $9,999 $50,000 to $99,999 1.11326e+13
## 5 $10,000 to $24,999 $50,000 to $99,999 1.11400e+13
## 6 $10,000 to $24,999 $50,000 to $99,999 1.11400e+13
## Home.Based.Business Franchise.Type Holding.Parent.Name Source.1
## 1 No NA AtoZDatabases
## 2 No Chain Location NA AtoZDatabases
## 3 No NA AtoZDatabases
## 4 No Chain Location NA AtoZDatabases
## 5 No Chain Location NA AtoZDatabases
## 6 No NA AtoZDatabases
#cut data down to what is necessary
grocery<-groc[c(6, 12:14)]
names(grocery)<-c("street", "city", "st", "zip")
head(grocery)
## street city st zip
## 1 1545 S San Marcos San Antonio TX 78207
## 2 4522 Fredericksburg Rd San Antonio TX 78201
## 3 111 S Leona St San Antonio TX 78207
## 4 4522 Fredericksburg Rd San Antonio TX 78201
## 5 3485 Fredericksburg Rd San Antonio TX 78201
## 6 3309 Hillcrest Dr San Antonio TX 78201
results2<-cxy_geocode(grocery,
street = "street",
city = "city",
state ="st",
zip = "zip",
class="sf",
output = "simple")
## 4 rows removed to create an sf object. These were addresses that the geocoder could not match.
#basic map
library(mapview)
mapview(results2, layer.name="grocery stores")
#longitude and latitude
library(sf)
library(dplyr)
grocLL<-read.csv("C:/Users/rlutt/OneDrive/Spring 2022/GIS_groc (1).csv")
resultsgroc <- st_as_sf(addLL, coords=c("Longitude", "Latitude"), crs=4269,agr="constant")
resultsgroc.proj<-st_transform(resultsgroc,
crs = 2278)
Map of grocery stores with longitude and latitude
Author: R. Luttinen
Data Source: U.S. Census Bureau and atozdatabases.com
#map with longitude and latitutde
mapview(resultsgroc.proj)