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library(tigris) ## Warning: package 'tigris' was built under R version 4.3.3## To enable caching of data, set `options(tigris_use_cache = TRUE)`
## in your R script or .Rprofile.library(devtools)## Warning: package 'devtools' was built under R version 4.3.3## Loading required package: usethis## Warning: package 'usethis' was built under R version 4.3.3library(yelpr)
library(tmap)## Warning: package 'tmap' was built under R version 4.3.3## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')library(sf)## Linking to GEOS 3.11.2, GDAL 3.7.2, PROJ 9.3.0; sf_use_s2() is TRUElibrary(tidycensus)## Warning: package 'tidycensus' was built under R version 4.3.3library(sf)
library(tmap)
library(jsonlite)
library(tidyverse)## Warning: package 'tidyverse' was built under R version 4.3.3## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.4 ✔ readr 2.1.5
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ ggplot2 3.4.4 ✔ tibble 3.2.1
## ✔ lubridate 1.9.3 ✔ tidyr 1.3.0
## ✔ purrr 1.0.2## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ purrr::flatten() masks jsonlite::flatten()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(httr)
library(jsonlite)
library(reshape2)## Warning: package 'reshape2' was built under R version 4.3.3##
## Attaching package: 'reshape2'
##
## The following object is masked from 'package:tidyr':
##
## smithslibrary(here)## Warning: package 'here' was built under R version 4.3.3## here() starts at C:/Users/Hina/Desktoplibrary(yelpr)
library(knitr)
library(leaflet.providers)## Warning: package 'leaflet.providers' was built under R version 4.3.3tidycensus::census_api_key(Sys.getenv("census_api_key"))## To install your API key for use in future sessions, run this function with `install = TRUE`.'install=TRUE'## [1] "install=TRUE"tract <- suppressMessages(
get_acs(geography = "tract", # or "block group", "county", "state" etc.
state = "GA",
county = c("Forsyth"),
variables = c(hhincome = 'B19019_001'),
year = 2021,
survey = "acs5", # American Community Survey 5-year estimate
geometry = TRUE, # returns sf objects
output = "wide") # wide vs. long
)## | | | 0% | | | 1% | |= | 1% | |= | 2% | |== | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 7% | |====== | 8% | |====== | 9% | |======= | 9% | |======= | 10% | |======== | 11% | |========= | 12% | |========= | 13% | |========== | 14% | |=========== | 16% | |============ | 17% | |============= | 18% | |============= | 19% | |============== | 20% | |=============== | 22% | |================ | 23% | |================= | 24% | |================== | 26% | |=================== | 27% | |==================== | 29% | |===================== | 31% | |====================== | 31% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |========================= | 35% | |========================== | 37% | |=========================== | 38% | |=========================== | 39% | |============================ | 40% | |============================ | 41% | |============================= | 41% | |============================= | 42% | |============================== | 42% | |============================== | 43% | |=============================== | 44% | |=============================== | 45% | |================================ | 46% | |================================= | 47% | |================================= | 48% | |================================== | 48% | |================================== | 49% | |=================================== | 50% | |=================================== | 51% | |==================================== | 52% | |===================================== | 53% | |====================================== | 54% | |====================================== | 55% | |======================================= | 55% | |======================================= | 56% | |======================================== | 56% | |======================================== | 58% | |========================================= | 58% | |========================================= | 59% | |========================================== | 60% | |=========================================== | 61% | |=========================================== | 62% | |============================================ | 62% | |============================================ | 63% | |============================================= | 64% | |============================================== | 66% | |=============================================== | 67% | |================================================ | 68% | |================================================= | 70% | |================================================== | 71% | |================================================== | 72% | |=================================================== | 73% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 75% | |===================================================== | 76% | |====================================================== | 77% | |======================================================= | 78% | |======================================================= | 79% | |========================================================= | 81% | |========================================================= | 82% | |========================================================== | 83% | |=========================================================== | 84% | |=========================================================== | 85% | |============================================================ | 85% | |============================================================= | 87% | |============================================================= | 88% | |============================================================== | 88% | |============================================================== | 89% | |=============================================================== | 89% | |=============================================================== | 90% | |=============================================================== | 91% | |================================================================= | 93% | |================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 97% | |===================================================================== | 98% | |===================================================================== | 99% | |======================================================================| 100%cumming <- tigris::places('GA') %>%
filter(NAME == 'Cumming') ## Retrieving data for the year 2022## | | | 0% | | | 1% | |= | 2% | |== | 3% | |=== | 4% | |=== | 5% | |==== | 5% | |==== | 6% | |===== | 7% | |===== | 8% | |====== | 8% | |====== | 9% | |======= | 10% | |======= | 11% | |======== | 11% | |======== | 12% | |========= | 12% | |========= | 13% | |========= | 14% | |========== | 14% | |=========== | 16% | |============ | 17% | |============ | 18% | |============= | 18% | |============= | 19% | |============== | 19% | |============== | 20% | |============== | 21% | |=============== | 21% | |=============== | 22% | |================ | 22% | |================ | 23% | |================= | 24% | |================= | 25% | |================== | 26% | |=================== | 26% | |=================== | 27% | |=================== | 28% | |==================== | 28% | |==================== | 29% | |===================== | 30% | |====================== | 31% | |====================== | 32% | |======================= | 32% | |======================= | 33% | |======================== | 34% | |======================== | 35% | |====================================== | 55% | |======================================= | 55% | |======================================= | 56% | |======================================== | 56% | |======================================== | 57% | |======================================== | 58% | |========================================= | 58% | |========================================= | 59% | |========================================== | 59% | |========================================== | 60% | |=========================================== | 61% | |=========================================== | 62% | |============================================ | 63% | |============================================= | 64% | |============================================= | 65% | |============================================== | 65% | |============================================== | 66% | |=============================================== | 67% | |================================================ | 68% | |================================================ | 69% | |================================================= | 70% | |================================================= | 71% | |================================================== | 71% | |================================================== | 72% | |=================================================== | 72% | |=================================================== | 73% | |=================================================== | 74% | |==================================================== | 74% | |==================================================== | 75% | |===================================================== | 75% | |===================================================== | 76% | |====================================================== | 77% | |====================================================== | 78% | |======================================================= | 78% | |======================================================= | 79% | |======================================================== | 80% | |======================================================== | 81% | |========================================================= | 82% | |========================================================== | 82% | |========================================================== | 83% | |=========================================================== | 84% | |=========================================================== | 85% | |============================================================ | 85% | |============================================================ | 86% | |============================================================= | 86% | |============================================================= | 87% | |============================================================= | 88% | |============================================================== | 88% | |============================================================== | 89% | |================================================================ | 91% | |================================================================ | 92% | |================================================================= | 93% | |================================================================== | 94% | |================================================================== | 95% | |=================================================================== | 95% | |=================================================================== | 96% | |==================================================================== | 97% | |======================================================================| 100%tract_cumming <- tract[cumming,]
message(sprintf("nrow: %s, ncol: %s", nrow(tract_cumming), ncol(tract_cumming)))## nrow: 10, ncol: 5tract_cumming %>% head() %>% knitr::kable()| GEOID | NAME | hhincomeE | hhincomeM | geometry | |
|---|---|---|---|---|---|
| 4 | 13117130409 | Census Tract 1304.09, Forsyth County, Georgia | 69405 | 8031 | MULTIPOLYGON (((-84.13967 3… |
| 7 | 13117130512 | Census Tract 1305.12, Forsyth County, Georgia | 149750 | 36251 | MULTIPOLYGON (((-84.17291 3… |
| 9 | 13117130509 | Census Tract 1305.09, Forsyth County, Georgia | 113971 | 37319 | MULTIPOLYGON (((-84.13667 3… |
| 11 | 13117130415 | Census Tract 1304.15, Forsyth County, Georgia | 125551 | 30625 | MULTIPOLYGON (((-84.19473 3… |
| 12 | 13117130413 | Census Tract 1304.13, Forsyth County, Georgia | 47383 | 19555 | MULTIPOLYGON (((-84.16471 3… |
| 19 | 13117130411 | Census Tract 1304.11, Forsyth County, Georgia | 108523 | 12081 | MULTIPOLYGON (((-84.17035 3… |
tract_cumming <- tract_cumming %>%
select(GEOID,
hhincome = hhincomeE) # New name = old name
tmap_mode("view")## tmap mode set to interactive viewingtm_shape(tract_cumming) + tm_borders(lwd = 2) +
tm_shape(cumming) + tm_polygons(col = 'red', alpha = 0.4)get_r <- function(poly, epsg_id){
#---------------------
# Takes: a single POLYGON or LINESTRTING
# Outputs: distance between the centroid of the boundingbox and a corner of the bounding box
#---------------------
# Get bounding box of a given polygon
bb <- st_bbox(poly)
# Get lat & long coordinates of any one corner of the bounding box.
bb_corner <- st_point(c(bb[1], bb[2])) %>% st_sfc(crs = epsg_id)
# Get centroid of the bb
bb_center_x <- (bb[3]+bb[1])/2
bb_center_y <- (bb[4]+bb[2])/2
bb_center <- st_point(c(bb_center_x, bb_center_y)) %>% st_sfc(crs = epsg_id) %>% st_sf()
# Get the distance between bb_p and c
r <- st_distance(bb_corner, bb_center)
# Multiply 1.1 to make the circle a bit larger than the Census Tract.
# See the Yelp explanation of their radius parameter to see why we do this.
bb_center$radius <- r*1.1
return(bb_center)
}
epsg_id <- 4326
r4all_loop <- vector("list", nrow(tract_cumming))
for (i in 1:nrow(tract_cumming)){
r4all_loop[[i]] <- tract_cumming %>%
st_transform(crs = epsg_id) %>%
st_geometry() %>%
.[[i]] %>%
get_r(epsg_id = epsg_id)
}
r4all_loop <- bind_rows(r4all_loop) ### ADDED THIS ####
# Using a functional
r4all_apply <- tract_cumming %>%
st_geometry() %>%
st_transform(crs = epsg_id) %>%
lapply(., function(x) get_r(x, epsg_id = epsg_id))
r4all_apply <- bind_rows(r4all_apply)
# Are these two identical?
identical(r4all_apply, r4all_loop)## [1] TRUEready_4_yelp <- r4all_apply %>%
mutate(x = st_coordinates(.)[,1],
y = st_coordinates(.)[,2])
tmap_mode('view')## tmap mode set to interactive viewingready_4_yelp %>%
# Draw a buffer centered at the centroid of Tract polygons.
# Radius of the buffer is the radius we just calculated using loop
st_buffer(., dist = .$radius) %>%
# Display this buffer in red
tm_shape(.) + tm_polygons(alpha = 0.5, col = 'red') +
# Display the original polygon in blue
tm_shape(tract_cumming) + tm_borders(col= 'blue')Sys.getenv("yelp_api")## [1] "t6Lt40U2YpCVz-GEfwwMcFb01sUcKiq__fICygkKxIIKFMiHnd8-HubZ_KTZawxXoLEM3nsGkJ2mxyZSwLJOGLfPl4QoCSubD6gt2MrV9HBQDtNqbUSNSMIurtfYZnYx"## TEST for businesses - worked for movietheatres
which_tract <- 2
test <- business_search(api_key = Sys.getenv('yelp_api'), #store API
categories = 'movietheatres',
latitude = ready_4_yelp$y[which_tract],
longitude = ready_4_yelp$x[which_tract],
offset = 0, # 1st page, 1st obs
radius = round(ready_4_yelp$radius[which_tract]), # radius requires integer value
limit = 50) # how many business per page## No encoding supplied: defaulting to UTF-8.lapply(test, head) ## $businesses
## id alias
## 1 Rs_fBiZoelwe-l69CZB9Ew babas-gyro-and-kabob-cumming
## 2 aNITBwOg4cxl3NmNx7RoOw q-korean-steak-house-cumming
## 3 YcOY31u3ZdhV5mNLgsfGog socks-love-barbecue-cumming-2
## 4 IPYcTqPg1S_17shPYw1EzQ shuckin-shack-oyster-bar-cumming
## 5 q-0H3Q-fGE-ysBoej_UjqQ kumo-sushi-and-ramen-cumming
## 6 ciLVqFk4iWc_3QeJQyFurA maries-italian-deli-cumming-3
## name
## 1 Baba's Gyro and Kabob
## 2 Q Korean Steak House
## 3 Socks Love Barbecue
## 4 Shuckin' Shack Oyster Bar
## 5 Kumo Sushi & Ramen
## 6 Marie's Italian Deli
## image_url
## 1 https://s3-media2.fl.yelpcdn.com/bphoto/yinZM7J7OHHuo6xPToPlfw/o.jpg
## 2 https://s3-media2.fl.yelpcdn.com/bphoto/dz9I0LXQv5sMmMmCYvSLMQ/o.jpg
## 3 https://s3-media1.fl.yelpcdn.com/bphoto/5aa3eI7Ln7MZQbQV45S5pQ/o.jpg
## 4 https://s3-media3.fl.yelpcdn.com/bphoto/psc_4rgd0U7qwo3RknBLjA/o.jpg
## 5 https://s3-media4.fl.yelpcdn.com/bphoto/yvup4woO6kEylOEblArc_g/o.jpg
## 6 https://s3-media2.fl.yelpcdn.com/bphoto/qM3ryUiqINx22wjt_T7eSA/o.jpg
## is_closed
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## url
## 1 https://www.yelp.com/biz/babas-gyro-and-kabob-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 2 https://www.yelp.com/biz/q-korean-steak-house-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 3 https://www.yelp.com/biz/socks-love-barbecue-cumming-2?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 4 https://www.yelp.com/biz/shuckin-shack-oyster-bar-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 5 https://www.yelp.com/biz/kumo-sushi-and-ramen-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 6 https://www.yelp.com/biz/maries-italian-deli-cumming-3?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## review_count
## 1 605
## 2 352
## 3 284
## 4 212
## 5 92
## 6 331
## categories rating
## 1 mediterranean, greek, persian, Mediterranean, Greek, Persian/Iranian 4.1
## 2 korean, steak, halal, Korean, Steakhouses, Halal 4.3
## 3 bbq, comfortfood, Barbeque, Comfort Food 4.6
## 4 seafood, Seafood 4.0
## 5 sushi, ramen, Sushi Bars, Ramen 4.4
## 6 delis, pizza, italian, Delis, Pizza, Italian 4.3
## coordinates.latitude coordinates.longitude transactions price
## 1 34.15731 -84.15461 pickup, delivery $$
## 2 34.18267 -84.13546 pickup, delivery $$
## 3 34.17572 -84.12963 delivery $$
## 4 34.15221 -84.17223 $$
## 5 34.18159 -84.13360 <NA>
## 6 34.18976 -84.13620 delivery $$
## location.address1 location.address2 location.address3 location.city
## 1 2310 Ronald Reagan Blvd Ste A Cumming
## 2 872 Buford Rd <NA> Cumming
## 3 1050 Buford Hwy Ste 104 Cumming
## 4 415 Peachtree Pkwy Ste 255 Cumming
## 5 911 Market Pl Blvd Ste 6 Cumming
## 6 580 Atlanta Rd Ste 34 Cumming
## location.zip_code location.country location.state
## 1 30041 US GA
## 2 30041 US GA
## 3 30041 US GA
## 4 30041 US GA
## 5 30041 US GA
## 6 30040 US GA
## location.display_address phone display_phone
## 1 2310 Ronald Reagan Blvd, Ste A, Cumming, GA 30041 +17708888100 (770) 888-8100
## 2 872 Buford Rd, Cumming, GA 30041 +17704068441 (770) 406-8441
## 3 1050 Buford Hwy, Ste 104, Cumming, GA 30041 +14703028383 (470) 302-8383
## 4 415 Peachtree Pkwy, Ste 255, Cumming, GA 30041 +14702537746 (470) 253-7746
## 5 911 Market Pl Blvd, Ste 6, Cumming, GA 30041 +16787715828 (678) 771-5828
## 6 580 Atlanta Rd, Ste 34, Cumming, GA 30040 +17708860084 (770) 886-0084
## distance
## 1 1193.128
## 2 2198.339
## 3 1870.612
## 4 2844.636
## 5 2171.108
## 6 2917.143
## business_hours
## 1 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1200, 1200, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 2 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1130, 1130, 1130, 1130, 1130, 1130, 1130, 2200, 2200, 2200, 2200, 2300, 2300, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 3 FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1500, 1500, 1500, 1900, 1900, 1, 2, 3, 4, 5, REGULAR, FALSE
## 4 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 2100, 2100, 2100, 2200, 2200, 2100, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 5 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1630, 1100, 1630, 1100, 1630, 1100, 1130, 1130, 1500, 2130, 1500, 2130, 1500, 2130, 2200, 2200, 2130, 0, 0, 2, 2, 3, 3, 4, 5, 6, REGULAR, FALSE
## 6 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0700, 0700, 0700, 0700, 0700, 0700, 2000, 2000, 2000, 2000, 2100, 2100, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## attributes.business_temp_closed attributes.open24_hours
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## attributes.menu_url
## 1 http://www.babasgyros.com/#!lunch-menu/c5hf
## 2 <NA>
## 3 https://www.sockslovebrands.com/menu
## 4 https://www.theshuckinshack.com/wp-content/uploads/2024/04/Shuckin-Shack-Cumming-GA-Food-and-Cocktail-Menu.pdf
## 5 https://irp.cdn-website.com/a75c9c20/files/uploaded/kumo-menu-2023-03-24.pdf
## 6
## attributes.waitlist_reservation
## 1 TRUE
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
##
## $total
## [1] 162
##
## $region
## $region$center
## $region$center$longitude
## [1] -84.14519
##
## $region$center$latitude
## [1] 34.1646paste0("is it a data.frame?: ", is.data.frame(test$businesses), ", ",
" how many rows?: ", nrow(test$businesses), ", ",
" how many columns?: ", ncol(test$businesses))## [1] "is it a data.frame?: TRUE, how many rows?: 50, how many columns?: 18"get_yelp <- function(tract, category){
# ----------------------------------
# Gets one row of tract information (1,) and category name (str),
# Outputs a list of business data.frame
Sys.sleep(1)
n <- 1
# First request --------------------------------------------------------------
resp <- business_search(api_key = Sys.getenv("yelp_api"),
categories = category,
latitude = tract$y,
longitude = tract$x,
offset = (n - 1) * 50, # = 0 when n = 1
radius = round(tract$radius),
limit = 50)
# Calculate how many requests are needed in total
required_n <- ceiling(resp$total/50)
out <- vector("list", required_n)
# Store the business information to nth slot in out
out[[n]] <- resp$businesses
# Change the name of the elements to the total required_n
# This is to know if there are more than 1000 businesses,
# we know how many.
names(out)[n] <- required_n
# Throw error if more than 1000
if (resp$total >= 1000)
{
# glue formats string by inserting {n} with what's currently stored in object n.
print(glue::glue("{n}th row has >= 1000 businesses."))
# Stop before going into the loop because we need to
# break down Census Tract to something smaller.
return(out)
}
else
{
# add 1 to n
n <- n + 1
# Now we know required_n -----------------------------------------------------
# Starting a loop
while(n <= required_n){
resp <- business_search(api_key = Sys.getenv("yelp_api"),
categories = category,
latitude = tract$y,
longitude = tract$x,
offset = (n - 1) * 50,
radius = round(tract$radius),
limit = 50)
out[[n]] <- resp$businesses
n <- n + 1
} #<< end of while loop
# Merge all elements in the list into a single data frame
out <- out %>% bind_rows()
return(out)
}
}
print(ready_4_yelp[1, ])## Simple feature collection with 1 feature and 3 fields
## Geometry type: POINT
## Dimension: XY
## Bounding box: xmin: -84.1217 ymin: 34.22615 xmax: -84.1217 ymax: 34.22615
## Geodetic CRS: WGS 84
## radius geometry x y
## 1 3056.576 [m] POINT (-84.1217 34.22615) -84.1217 34.22615yelp_first_tract_raw <- get_yelp(ready_4_yelp[1,], "movietheatres")## No encoding supplied: defaulting to UTF-8.
## No encoding supplied: defaulting to UTF-8.print(yelp_first_tract_raw)## id alias
## 1 -QzATE8gbPVyjI9CTYSUOg tams-backstage-cumming
## 2 MdsnJ4UjFpgC0aJNqoaQ_w gasthaus-tirol-cumming-2
## 3 WruWv2Q96AcbxrrG_ucIsg balsas-mexican-restaurant-cumming
## 4 3rfhvsxSEF_MkWdzxhUShw sawnee-mountain-biscuit-cumming
## 5 kFL2Ysx-RmhQ-_ALHAv-PA village-burger-cumming-cumming
## 6 ifHY8ZAwAho9uHAiqHyywA annunziatas-pizza-and-pasta-cumming
## 7 6CLbYKwLMOg1hO7l3Ga4sg sliceability-cumming
## 8 yASAsKLBr6lOtXlrfExU_Q mexican-grill-cumming
## 9 SeG1Jtl0spcieaUZX0KBNg smokeyq-cumming
## 10 uAze_Oo_FJxF24SrcrTCww savory-mexican-restaurant-cumming
## 11 JXkYDP6lKYKuURUaR8wVeA vampire-penguin-cumming
## 12 ITC3cioi7LP52zj8CAOHLA homestead-cumming
## 13 Q87wk_Fiv0KR2_cl-T8HIg carniceria-hernandez-cumming
## 14 CZ_DKS0uh9TmKTeho4kuFg meadow-woodfire-grill-cumming
## 15 8VOXT-dVuhz77GKLQf4J3Q grapevines-cumming-cumming
## 16 8f2QXmxMbb9RW4uhI4iaLg myth-and-legend-cumming
## 17 GP8xYSGsnlw1tWpwIP6tWQ hall-and-hound-brewing-company-cumming
## 18 MvhsmiIj59JVjto4S8NHvQ happy-family-cumming
## 19 _ztmfCpfkw8qBRmMO8Y10w the-ridge-great-steaks-and-seafood-cumming
## 20 bSGscag7ohkthDtYUweT_w community-cup-cumming
## 21 zvhCPPUE2gRyJg5skxz3Bg roosters-cafe-cumming
## 22 lLngjTHFL371uEaZ3RjeKA tin-cup-grill-cumming
## 23 MvepcOddREB4bJWECDNGtQ mary-lucilles-cumming
## 24 y0GREb1kaaUcbHj4EY9V3g donut-depot-bakery-cumming
## 25 X_cIdZShmJu4gX9BaU1Dsw pueblos-mexican-cuisine-cumming-cumming
## 26 j-43hMxSGZwOBsCp0rcWng la-zacatecana-taqueria-cumming
## 27 j0ThpILRwiqRCnf2wzyW5Q santa-maria-cumming
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## name
## 1 Tam's Backstage
## 2 Gasthaus Tirol
## 3 Balsas Mexican Restaurant
## 4 Sawnee Mountain Biscuit
## 5 Village Burger - Cumming
## 6 Annunziata's Pizza & Pasta
## 7 SliceAbility
## 8 Mexican Grill
## 9 SmokeyQ
## 10 Savory Mexican Restaurant
## 11 Vampire Penguin
## 12 Homestead
## 13 Carniceria Hernandez
## 14 Meadow Woodfire Grill
## 15 GrapeVine's - Cumming
## 16 Myth & Legend
## 17 Hall & Hound Brewing Company
## 18 Happy Family
## 19 The Ridge-Great Steaks and Seafood
## 20 Community Cup
## 21 Rooster's Cafe
## 22 Tin Cup Grill
## 23 Mary Lucille's
## 24 Donut Depot Bakery
## 25 Pueblos Mexican Cuisine - Cumming
## 26 La Zacatecana Taqueria
## 27 Santa Maria
## 28 Los Compadres Restaurant
## 29 Big D's BBQ
## 30 Good ol' Days Bar and Grill
## 31 C'est Tout Bon 2 Eat
## 32 El Rio Mexican Restaurant
## 33 Auntie Kim’s Pound Cakes
## 34 Atlanta Ice Cream Truck
## 35 Ellianos Coffee
## 36 The Heights
## 37 Cumming Cigar
## 38 Ira Lane Coffee
## 39 Juke N Jive Creamery
## 40 Los Rios Cantina
## 41 Whitetail Bicycles & Cyclery Cafe
## 42 China Garden
## 43 Central Park
## 44 A Baking Man
## 45 Dairy Queen Grill & Chill
## 46 El Rey Restaurant & Cantina
## 47 Dobbs Creek Park
## 48 Baked Paradise
## 49 Dunkin'
## 50 Subway
## 51 El Oasis
## 52 Domino's Pizza
## 53 Zaxby's Chicken Fingers & Buffalo Wings
## 54 Hardee's
## 55 Cousins Maine Lobster Truck - Atlanta
## 56 McDonald's
## 57 STARBUCKS
## 58 Zaxby's Chicken Fingers & Buffalo Wings
## 59 Waffle House
## 60 Cake Envy
## 61 The Fine Print Bakery
## 62 Pratt & Co Bakery
## 63 Papa Johns Pizza
## 64 The City of Cumming
## 65 Cassie Cakes Bakery
## 66 Pizza Hut
## 67 Furry Tales Gym
## 68 The Draztic Aztec
## 69 Me Bakery
## 70 Get Skewers
## 71 Creations Bakery
## 72 Mama Jewju
## 73 Deep South BBQ
## 74 Artistic Cake Designs
## 75 Spice On Wheels
## 76 DDR Custom Cakes and Cookies
## 77 Pardon My Cheesesteak
## 78 Queen of Sweets
## 79 Viva's Delicious Desserts
## 80 Cumming City Park
## 81 Tyga Bites
## 82 Ds Handcrafted
## 83 Rosita'sTaqueria
## 84 Your FAVORite Custom Cookies & Treats
## 85 Plainly Jane's - Children's Murals
## 86 Advanced Concession Trailers
## 87 Bow Thai authentic cuisine
## 88 Sugary Whim
## 89 Delani’s Decadent Desserts
## 90 Genie Belle’s
## 91 American Amusement Services
## 92 Double J IceScream
## 93 Isa's Incredible Delights
## 94 Aguileras Mexican Food
## 95 Wingstreet
## 96 sikiucookies
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## 81 https://www.yelp.com/biz/tyga-bites-cumming-3?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 82 https://www.yelp.com/biz/ds-handcrafted-cumming-2?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 83 https://www.yelp.com/biz/rositastaqueria-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 84 https://www.yelp.com/biz/your-favorite-custom-cookies-and-treats-cumming-4?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 85 https://www.yelp.com/biz/plainly-janes-childrens-murals-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 86 https://www.yelp.com/biz/advanced-concession-trailers-dahlonega?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 87 https://www.yelp.com/biz/bow-thai-authentic-cuisine-tucker?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 88 https://www.yelp.com/biz/sugary-whim-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 89 https://www.yelp.com/biz/delani-s-decadent-desserts-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 90 https://www.yelp.com/biz/genie-belle-s-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 91 https://www.yelp.com/biz/american-amusement-services-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 92 https://www.yelp.com/biz/double-j-icescream-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 93 https://www.yelp.com/biz/isas-incredible-delights-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 94 https://www.yelp.com/biz/aguileras-mexican-food-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 95 https://www.yelp.com/biz/wingstreet-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## 96 https://www.yelp.com/biz/sikiucookies-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1oE-A&utm_campaign=yelp_api_v3&utm_medium=api_v3_business_search&utm_source=1K83ZF1zfv8Vvq4F_1oE-A
## review_count
## 1 264
## 2 224
## 3 125
## 4 55
## 5 210
## 6 128
## 7 41
## 8 10
## 9 40
## 10 56
## 11 41
## 12 71
## 13 78
## 14 25
## 15 68
## 16 28
## 17 59
## 18 129
## 19 270
## 20 123
## 21 149
## 22 117
## 23 56
## 24 41
## 25 93
## 26 59
## 27 18
## 28 8
## 29 114
## 30 91
## 31 35
## 32 75
## 33 17
## 34 34
## 35 7
## 36 7
## 37 12
## 38 14
## 39 15
## 40 21
## 41 30
## 42 59
## 43 17
## 44 5
## 45 71
## 46 3
## 47 2
## 48 3
## 49 29
## 50 5
## 51 5
## 52 37
## 53 49
## 54 31
## 55 6
## 56 45
## 57 7
## 58 33
## 59 19
## 60 1
## 61 0
## 62 1
## 63 30
## 64 4
## 65 1
## 66 29
## 67 1
## 68 1
## 69 0
## 70 1
## 71 15
## 72 1
## 73 2
## 74 0
## 75 0
## 76 0
## 77 0
## 78 2
## 79 1
## 80 5
## 81 0
## 82 0
## 83 2
## 84 0
## 85 0
## 86 0
## 87 3
## 88 0
## 89 0
## 90 0
## 91 0
## 92 0
## 93 1
## 94 0
## 95 0
## 96 0
## categories
## 1 newamerican, wine_bars, New American, Wine Bars
## 2 german, salad, beergardens, German, Salad, Beer Gardens
## 3 mexican, Mexican
## 4 breakfast_brunch, sandwiches, Breakfast & Brunch, Sandwiches
## 5 burgers, hotdog, salad, Burgers, Hot Dogs, Salad
## 6 pizza, italian, sandwiches, Pizza, Italian, Sandwiches
## 7 pizza, desserts, salad, Pizza, Desserts, Salad
## 8 mexican, Mexican
## 9 bbq, Barbeque
## 10 newmexican, tex-mex, New Mexican Cuisine, Tex-Mex
## 11 desserts, shavedsnow, Desserts, Shaved Snow
## 12 salad, tradamerican, cocktailbars, Salad, American, Cocktail Bars
## 13 mexican, grocery, butcher, Mexican, Grocery, Butcher
## 14 newamerican, chicken_wings, salad, New American, Chicken Wings, Salad
## 15 italian, wine_bars, Italian, Wine Bars
## 16 coffee, Coffee & Tea
## 17 breweries, beerbar, cocktailbars, Breweries, Beer Bar, Cocktail Bars
## 18 chinese, japanese, sushi, Chinese, Japanese, Sushi Bars
## 19 bars, tradamerican, Bars, American
## 20 coffee, bars, cupcakes, Coffee & Tea, Bars, Cupcakes
## 21 tradamerican, sandwiches, hotdog, American, Sandwiches, Hot Dogs
## 22 cocktailbars, tradamerican, Cocktail Bars, American
## 23 bakeries, tea, southern, Bakeries, Tea Rooms, Southern
## 24 bakeries, cupcakes, customcakes, Bakeries, Cupcakes, Custom Cakes
## 25 mexican, Mexican
## 26 mexican, Mexican
## 27 tapasmallplates, seafood, latin, Tapas/Small Plates, Seafood, Latin American
## 28 mexican, Mexican
## 29 tradamerican, chicken_wings, burgers, American, Chicken Wings, Burgers
## 30 pubs, tradamerican, musicvenues, Pubs, American, Music Venues
## 31 foodtrucks, cajun, sandwiches, Food Trucks, Cajun/Creole, Sandwiches
## 32 mexican, Mexican
## 33 desserts, customcakes, Desserts, Custom Cakes
## 34 icecream, foodtrucks, Ice Cream & Frozen Yogurt, Food Trucks
## 35 coffee, Coffee & Tea
## 36 coffee, venues, basketballcourts, Coffee & Tea, Venues & Event Spaces, Basketball Courts
## 37 cigarbars, Cigar Bars
## 38 coffee, foodtrucks, Coffee & Tea, Food Trucks
## 39 icecream, gluten_free, desserts, Ice Cream & Frozen Yogurt, Gluten-Free, Desserts
## 40 mexican, Mexican
## 41 coffee, bikes, bike_repair_maintenance, Coffee & Tea, Bikes, Bike Repair/Maintenance
## 42 chinese, Chinese
## 43 parks, Parks
## 44 desserts, Desserts
## 45 hotdogs, icecream, burgers, Fast Food, Ice Cream & Frozen Yogurt, Burgers
## 46 mexican, Mexican
## 47 baseballfields, parks, Baseball Fields, Parks
## 48 customcakes, desserts, cupcakes, Custom Cakes, Desserts, Cupcakes
## 49 coffee, donuts, breakfast_brunch, Coffee & Tea, Donuts, Breakfast & Brunch
## 50 sandwiches, hotdogs, Sandwiches, Fast Food
## 51 guamanian, Guamanian
## 52 pizza, chicken_wings, sandwiches, Pizza, Chicken Wings, Sandwiches
## 53 hotdogs, chicken_wings, salad, Fast Food, Chicken Wings, Salad
## 54 burgers, hotdogs, Burgers, Fast Food
## 55 seafood, foodtrucks, sandwiches, Seafood, Food Trucks, Sandwiches
## 56 coffee, burgers, hotdogs, Coffee & Tea, Burgers, Fast Food
## 57 coffee, Coffee & Tea
## 58 hotdogs, chicken_wings, salad, Fast Food, Chicken Wings, Salad
## 59 diners, breakfast_brunch, tradamerican, Diners, Breakfast & Brunch, American
## 60 customcakes, cupcakes, Custom Cakes, Cupcakes
## 61 bakeries, desserts, Bakeries, Desserts
## 62 desserts, Desserts
## 63 pizza, chicken_wings, hotdogs, Pizza, Chicken Wings, Fast Food
## 64 localflavor, Local Flavor
## 65 bakeries, desserts, customcakes, Bakeries, Desserts, Custom Cakes
## 66 pizza, chicken_wings, hotdogs, Pizza, Chicken Wings, Fast Food
## 67 dog_parks, pet_training, Dog Parks, Pet Training
## 68 foodtrucks, mexican, Food Trucks, Mexican
## 69 bakeries, desserts, fooddeliveryservices, Bakeries, Desserts, Food Delivery Services
## 70 brazilian, foodtrucks, bbq, Brazilian, Food Trucks, Barbeque
## 71 bakeries, customcakes, tea, Bakeries, Custom Cakes, Tea Rooms
## 72 psychic_astrology, tea, reiki, Supernatural Readings, Tea Rooms, Reiki
## 73 catering, bbq, Caterers, Barbeque
## 74 customcakes, cupcakes, Custom Cakes, Cupcakes
## 75 indpak, foodtrucks, Indian, Food Trucks
## 76 customcakes, desserts, Custom Cakes, Desserts
## 77 fooddeliveryservices, cheesesteaks, Food Delivery Services, Cheesesteaks
## 78 desserts, fooddeliveryservices, customcakes, Desserts, Food Delivery Services, Custom Cakes
## 79 customcakes, cupcakes, desserts, Custom Cakes, Cupcakes, Desserts
## 80 parks, Parks
## 81 comfortfood, fooddeliveryservices, chickenshop, Comfort Food, Food Delivery Services, Chicken Shop
## 82 foodstands, Food Stands
## 83 mexican, Mexican
## 84 desserts, Desserts
## 85 publicart, Public Art
## 86 foodtrucks, tacos, Food Trucks, Tacos
## 87 foodtrucks, thai, Food Trucks, Thai
## 88 cakeshop, desserts, cupcakes, Patisserie/Cake Shop, Desserts, Cupcakes
## 89 desserts, customcakes, cupcakes, Desserts, Custom Cakes, Cupcakes
## 90 customcakes, cupcakes, desserts, Custom Cakes, Cupcakes, Desserts
## 91 videoandgames, amusementparks, Videos & Video Game Rental, Amusement Parks
## 92 icecream, Ice Cream & Frozen Yogurt
## 93 desserts, Desserts
## 94 grocery, mexican, Grocery, Mexican
## 95 chicken_wings, Chicken Wings
## 96 desserts, Desserts
## rating coordinates.latitude coordinates.longitude transactions price
## 1 4.2 34.20818 -84.13662 delivery $$
## 2 3.9 34.20125 -84.13404 delivery $$
## 3 4.2 34.23950 -84.12144 pickup, delivery $$
## 4 4.5 34.22015 -84.13802 delivery $
## 5 4.1 34.20695 -84.14059 pickup, delivery $$
## 6 4.2 34.20659 -84.14063 delivery <NA>
## 7 4.8 34.21945 -84.14626 pickup, delivery $
## 8 4.8 34.22181 -84.13125 delivery $
## 9 4.4 34.20992 -84.10006 delivery $
## 10 4.7 34.21147 -84.13578 pickup, delivery <NA>
## 11 4.5 34.21927 -84.14615 <NA>
## 12 3.8 34.21717 -84.14611 <NA>
## 13 4.4 34.20307 -84.13951 delivery $
## 14 4.6 34.20097 -84.13550 <NA>
## 15 4.1 34.25052 -84.09109 $$
## 16 4.4 34.21668 -84.14580 <NA>
## 17 4.0 34.23182 -84.09290 $$
## 18 3.7 34.20681 -84.14061 delivery $$
## 19 2.9 34.20842 -84.11898 delivery $$
## 20 4.6 34.20878 -84.13968 pickup, delivery $
## 21 3.6 34.20407 -84.13645 delivery $
## 22 2.9 34.21795 -84.14585 <NA>
## 23 3.2 34.21695 -84.14569 <NA>
## 24 4.3 34.21691 -84.15067 $
## 25 3.7 34.25081 -84.08926 pickup, delivery $$
## 26 4.3 34.20709 -84.13688 delivery $
## 27 4.3 34.21647 -84.14748 <NA>
## 28 5.0 34.20890 -84.13976 <NA>
## 29 3.3 34.20480 -84.13697 pickup, delivery <NA>
## 30 3.7 34.19871 -84.13504 delivery $$
## 31 4.2 33.92406 -84.57351 pickup, delivery $
## 32 3.4 34.20320 -84.13500 pickup, delivery $
## 33 4.4 34.21796 -84.14908 <NA>
## 34 4.9 33.94501 -84.49773 $
## 35 4.6 34.20527 -84.11953 <NA>
## 36 4.9 34.21010 -84.14735 <NA>
## 37 4.6 34.20665 -84.13776 <NA>
## 38 5.0 33.70657 -84.43017 <NA>
## 39 3.9 34.21737 -84.14535 <NA>
## 40 3.5 34.21741 -84.14612 pickup, delivery <NA>
## 41 4.0 34.08953 -84.34408 $$
## 42 2.6 34.25038 -84.08985 pickup, delivery $
## 43 4.1 34.24692 -84.09722 <NA>
## 44 4.6 34.20732 -84.14019 <NA>
## 45 2.1 34.20608 -84.13776 pickup, delivery $
## 46 5.0 34.20325 -84.13512 <NA>
## 47 4.5 34.22740 -84.12993 <NA>
## 48 5.0 34.20705 -84.14076 <NA>
## 49 1.8 34.20854 -84.14352 delivery <NA>
## 50 3.8 34.22220 -84.15402 pickup, delivery $
## 51 4.6 34.21726 -84.14897 <NA>
## 52 2.5 34.20289 -84.13576 $
## 53 2.0 34.25203 -84.09011 delivery $
## 54 2.5 34.20642 -84.14130 pickup, delivery $
## 55 4.5 33.74797 -84.38267 <NA>
## 56 1.7 34.25346 -84.08930 delivery $
## 57 3.9 34.25077 -84.09116 delivery <NA>
## 58 2.1 34.21816 -84.15279 delivery $
## 59 2.7 34.22184 -84.15383 delivery <NA>
## 60 5.0 34.21551 -84.14844 <NA>
## 61 0.0 34.20716 -84.13777 <NA>
## 62 5.0 34.20705 -84.14076 <NA>
## 63 2.1 34.22263 -84.15395 pickup, delivery $
## 64 4.0 34.21636 -84.17965 <NA>
## 65 2.0 34.20108 -84.13521 <NA>
## 66 1.8 34.24963 -84.09198 pickup, delivery $
## 67 5.0 34.22677 -84.28921 <NA>
## 68 5.0 34.17872 -84.11443 <NA>
## 69 0.0 34.20717 -84.13810 <NA>
## 70 5.0 34.21796 -84.14908 <NA>
## 71 3.2 34.20097 -84.13505 $$
## 72 4.0 33.83564 -84.38893 <NA>
## 73 2.5 34.19871 -84.13504 $
## 74 0.0 34.20705 -84.13778 <NA>
## 75 0.0 34.20705 -84.14076 <NA>
## 76 0.0 34.20109 -84.13507 <NA>
## 77 0.0 34.15284 -84.17266 <NA>
## 78 3.0 34.04884 -84.17516 <NA>
## 79 5.0 34.28952 -84.17893 <NA>
## 80 3.8 34.21031 -84.13309 <NA>
## 81 0.0 34.17872 -84.11443 <NA>
## 82 0.0 34.28922 -84.17998 <NA>
## 83 4.0 34.21145 -84.13578 <NA>
## 84 0.0 34.20422 -84.13961 <NA>
## 85 0.0 34.28744 -84.16940 <NA>
## 86 0.0 34.56417 -84.00303 <NA>
## 87 3.3 33.83934 -84.23860 <NA>
## 88 0.0 34.20702 -84.13977 <NA>
## 89 0.0 34.17855 -84.11454 <NA>
## 90 0.0 34.20705 -84.14076 <NA>
## 91 0.0 34.23023 -84.10358 <NA>
## 92 0.0 34.17855 -84.11454 <NA>
## 93 1.0 34.20705 -84.14076 <NA>
## 94 0.0 34.20060 -84.13384 <NA>
## 95 0.0 34.24910 -84.09082 delivery <NA>
## 96 0.0 34.28952 -84.17894 <NA>
## location.address1 location.address2 location.address3
## 1 215 Ingram Ave
## 2 310 Atlanta Rd
## 3 1495 Dahlonega Hwy <NA>
## 4 104 13th St
## 5 101 W Courthouse Square <NA>
## 6 111 W Courthouse Sq <NA>
## 7 420 Vision Dr Ste A102 <NA>
## 8 601 Dahlonega St <NA>
## 9 1850 Bald Ridge Marina Rd <NA>
## 10 337 Dahlonega St <NA>
## 11 440 Vision Dr Ste C103
## 12 420 Vision Dr Ste A101 <NA>
## 13 310 Veterans Memorial Blvd <NA> <NA>
## 14 101 Meadow Dr <NA>
## 15 2619 Freedom Pkwy <NA>
## 16 431 Vision Dr Ste F101A Cumming City Center
## 17 1920 Freedom Pkwy <NA>
## 18 103 W Courthouse Sq
## 19 1035 Turner Rd
## 20 125 Tribble Gap Rd Ste 103
## 21 216 Atlanta Rd
## 22 450 Vision Dr <NA>
## 23 431 Vision Dr Ste F104 <NA>
## 24 440B Canton Rd
## 25 2595 Freedom Pkwy
## 26 104 Pirkle Ferry Rd
## 27 410 Vision Dr <NA>
## 28 125 Tribble Gap Rd Ste 101-102
## 29 212 Atlanta Rd <NA>
## 30 419 Atlanta Rd
## 31 1147 Powder Springs St SW Ste 2B (Rear)
## 32 248 Atlanta Rd
## 33 433 Canton Rd Ste 103
## 34 279 Powers Ferry Rd SE <NA>
## 35 1200 Town Green Cir <NA>
## 36 3790 Post Rd <NA>
## 37 203 E Main St <NA>
## 38 1 Tyler Perry Studios Way Stage 3 <NA>
## 39 441 Vision Dr Ste G101 <NA>
## 40 440 Vision Dr Ste C001 & C002
## 41 1885 Heritage Walk <NA>
## 42 2647 Freedom Pkwy
## 43 2300 Keith Bridge Rd
## 44 <NA>
## 45 103 Atlanta Rd
## 46 248 Atlanta Rd <NA>
## 47 875 Dahlonega Hwy <NA>
## 48 <NA> <NA>
## 49 116 Canton Rd <NA> <NA>
## 50 533 Canton Hwy Ste 100
## 51 433 Canton Rd Unit 101 <NA>
## 52 241 Atlanta Rd
## 53 2810 Keith Bridge Rd <NA> <NA>
## 54 125 W Maple St
## 55 <NA> <NA>
## 56 2815 Keith Bridge Rd <NA> <NA>
## 57 2655 Freedom Pkwy <NA> Kroger
## 58 520 Sawnee Corners Blvd <NA> <NA>
## 59 531 Canton Hwy <NA> <NA>
## 60 <NA>
## 61 <NA> <NA>
## 62 <NA> <NA> <NA>
## 63 535 Canton Rd
## 64 <NA>
## 65 101 Meadow Dr Ste E <NA>
## 66 2603 Freedom Pkwy
## 67 9977 Freehome Hwy <NA>
## 68 <NA>
## 69 <NA>
## 70 433 Canton Rd Ste 216
## 71 101 Meadow Dr <NA> <NA>
## 72 <NA>
## 73 419 Atlanta Rd <NA>
## 74 <NA> <NA> <NA>
## 75 <NA>
## 76 101 Meadow Dr Ste E
## 77 415 Peachtree Pkwy Ste 200 <NA>
## 78 <NA> <NA> <NA>
## 79 <NA> <NA> <NA>
## 80 410 Pilgrim Mill Rd <NA>
## 81 <NA> <NA>
## 82 <NA>
## 83 337 Dahlonega St
## 84 <NA> <NA>
## 85 <NA> <NA>
## 86 386 Camp Wahsega Rd <NA>
## 87 1927 Lakeside Pkwy <NA>
## 88 <NA>
## 89 <NA> <NA> <NA>
## 90 <NA>
## 91 2755 Antioch Rd Ste 7 <NA>
## 92 <NA> <NA> <NA>
## 93 <NA> <NA>
## 94 320 Atlanta Rd
## 95 2603 Freedom Pkwy <NA> <NA>
## 96 <NA> <NA>
## location.city location.zip_code location.country location.state
## 1 Cumming 30040 US GA
## 2 Cumming 30040 US GA
## 3 Cumming 30040 US GA
## 4 Cumming 30040 US GA
## 5 Cumming 30040 US GA
## 6 Cumming 30040 US GA
## 7 Cumming 30028 US GA
## 8 Cumming 30040 US GA
## 9 Cumming 30041 US GA
## 10 Cumming 30040 US GA
## 11 Cumming 30040 US GA
## 12 Cumming 30040 US GA
## 13 Cumming 30040 US GA
## 14 Cumming 30040 US GA
## 15 Cumming 30041 US GA
## 16 Cumming 30040 US GA
## 17 Cumming 30041 US GA
## 18 Cumming 30040 US GA
## 19 Cumming 30041 US GA
## 20 Cumming 30041 US GA
## 21 Cumming 30040 US GA
## 22 Cumming 30040 US GA
## 23 Cumming 30040 US GA
## 24 Cumming 30040 US GA
## 25 Cumming 30041 US GA
## 26 Cumming 30040 US GA
## 27 Cumming 30040 US GA
## 28 Cumming 30040 US GA
## 29 Cumming 30040 US GA
## 30 Cumming 30040 US GA
## 31 Marietta 30064 US GA
## 32 Cumming 30040 US GA
## 33 Cumming 30040 US GA
## 34 Marietta 30067 US GA
## 35 Cumming 30041 US GA
## 36 Cumming 30040 US GA
## 37 Cumming 30040 US GA
## 38 Atlanta 30310 US GA
## 39 Cumming 30040 US GA
## 40 Cumming 30040 US GA
## 41 Milton 30004 US GA
## 42 Cumming 30041 US GA
## 43 Cumming 30040 US GA
## 44 Cumming 30041 US GA
## 45 Cumming 30040 US GA
## 46 Cumming 30040 US GA
## 47 Cumming 30040 US GA
## 48 Cumming 30040 US GA
## 49 Cumming 30040 US GA
## 50 Cumming 30040 US GA
## 51 Cumming 30040 US GA
## 52 Cumming 30040 US GA
## 53 Cumming 30041 US GA
## 54 Cumming 30040 US GA
## 55 Atlanta US GA
## 56 Cumming 30041 US GA
## 57 Cumming 30041 US GA
## 58 Cumming 30040 US GA
## 59 Cumming 30040 US GA
## 60 Cumming 30040 US GA
## 61 Cumming 30040 US GA
## 62 Cumming 30040 US GA
## 63 Cumming 30040 US GA
## 64 Cumming 30040 US GA
## 65 Cumming 30040 US GA
## 66 Cumming 30041 US GA
## 67 Canton 30115 US GA
## 68 Cumming 30041 US GA
## 69 Cumming 30040 US GA
## 70 Cumming 30040 US GA
## 71 Cumming 30040 US GA
## 72 Atlanta 30305 US GA
## 73 Cumming 30040 US GA
## 74 Cumming 30040 US GA
## 75 Cumming 30040 US GA
## 76 Cumming 30040 US GA
## 77 Cumming 30041 US GA
## 78 Suwanee 30024 US GA
## 79 Cumming 30028 US GA
## 80 Cumming 30040 US GA
## 81 Cumming 30041 US GA
## 82 Cumming 30028 US GA
## 83 Cumming 30040 US GA
## 84 Cumming US GA
## 85 Cumming 30028 US GA
## 86 Dahlonega 30533 US GA
## 87 Tucker 30084 US GA
## 88 Cumming 30040 US GA
## 89 Cumming 30041 US GA
## 90 Cumming 30040 US GA
## 91 Cumming 30040 US GA
## 92 Cumming 30041 US GA
## 93 Cumming 30040 US GA
## 94 Cumming 30040 US GA
## 95 Cumming 30041 US GA
## 96 Cumming 30028 US GA
## location.display_address
## 1 215 Ingram Ave, Cumming, GA 30040
## 2 310 Atlanta Rd, Cumming, GA 30040
## 3 1495 Dahlonega Hwy, Cumming, GA 30040
## 4 104 13th St, Cumming, GA 30040
## 5 101 W Courthouse Square, Cumming, GA 30040
## 6 111 W Courthouse Sq, Cumming, GA 30040
## 7 420 Vision Dr, Ste A102, Cumming, GA 30028
## 8 601 Dahlonega St, Cumming, GA 30040
## 9 1850 Bald Ridge Marina Rd, Cumming, GA 30041
## 10 337 Dahlonega St, Cumming, GA 30040
## 11 440 Vision Dr, Ste C103, Cumming, GA 30040
## 12 420 Vision Dr, Ste A101, Cumming, GA 30040
## 13 310 Veterans Memorial Blvd, Cumming, GA 30040
## 14 101 Meadow Dr, Cumming, GA 30040
## 15 2619 Freedom Pkwy, Cumming, GA 30041
## 16 431 Vision Dr, Ste F101A, Cumming City Center, Cumming, GA 30040
## 17 1920 Freedom Pkwy, Cumming, GA 30041
## 18 103 W Courthouse Sq, Cumming, GA 30040
## 19 1035 Turner Rd, Cumming, GA 30041
## 20 125 Tribble Gap Rd, Ste 103, Cumming, GA 30041
## 21 216 Atlanta Rd, Cumming, GA 30040
## 22 450 Vision Dr, Cumming, GA 30040
## 23 431 Vision Dr, Ste F104, Cumming, GA 30040
## 24 440B Canton Rd, Cumming, GA 30040
## 25 2595 Freedom Pkwy, Cumming, GA 30041
## 26 104 Pirkle Ferry Rd, Cumming, GA 30040
## 27 410 Vision Dr, Cumming, GA 30040
## 28 125 Tribble Gap Rd, Ste 101-102, Cumming, GA 30040
## 29 212 Atlanta Rd, Cumming, GA 30040
## 30 419 Atlanta Rd, Cumming, GA 30040
## 31 1147 Powder Springs St SW, Ste 2B (Rear), Marietta, GA 30064
## 32 248 Atlanta Rd, Cumming, GA 30040
## 33 433 Canton Rd, Ste 103, Cumming, GA 30040
## 34 279 Powers Ferry Rd SE, Marietta, GA 30067
## 35 1200 Town Green Cir, Cumming, GA 30041
## 36 3790 Post Rd, Cumming, GA 30040
## 37 203 E Main St, Cumming, GA 30040
## 38 1 Tyler Perry Studios Way, Stage 3, Atlanta, GA 30310
## 39 441 Vision Dr, Ste G101, Cumming, GA 30040
## 40 440 Vision Dr, Ste C001 & C002, Cumming, GA 30040
## 41 1885 Heritage Walk, Milton, GA 30004
## 42 2647 Freedom Pkwy, Cumming, GA 30041
## 43 2300 Keith Bridge Rd, Cumming, GA 30040
## 44 Cumming, GA 30041
## 45 103 Atlanta Rd, Cumming, GA 30040
## 46 248 Atlanta Rd, Cumming, GA 30040
## 47 875 Dahlonega Hwy, Cumming, GA 30040
## 48 Cumming, GA 30040
## 49 116 Canton Rd, Cumming, GA 30040
## 50 533 Canton Hwy, Ste 100, Cumming, GA 30040
## 51 433 Canton Rd, Unit 101, Cumming, GA 30040
## 52 241 Atlanta Rd, Cumming, GA 30040
## 53 2810 Keith Bridge Rd, Cumming, GA 30041
## 54 125 W Maple St, Cumming, GA 30040
## 55 Atlanta, GA
## 56 2815 Keith Bridge Rd, Cumming, GA 30041
## 57 2655 Freedom Pkwy, Kroger, Cumming, GA 30041
## 58 520 Sawnee Corners Blvd, Cumming, GA 30040
## 59 531 Canton Hwy, Cumming, GA 30040
## 60 Cumming, GA 30040
## 61 Cumming, GA 30040
## 62 Cumming, GA 30040
## 63 535 Canton Rd, Cumming, GA 30040
## 64 Cumming, GA 30040
## 65 101 Meadow Dr, Ste E, Cumming, GA 30040
## 66 2603 Freedom Pkwy, Cumming, GA 30041
## 67 9977 Freehome Hwy, Canton, GA 30115
## 68 Cumming, GA 30041
## 69 Cumming, GA 30040
## 70 433 Canton Rd, Ste 216, Cumming, GA 30040
## 71 101 Meadow Dr, Cumming, GA 30040
## 72 Atlanta, GA 30305
## 73 419 Atlanta Rd, Cumming, GA 30040
## 74 Cumming, GA 30040
## 75 Cumming, GA 30040
## 76 101 Meadow Dr, Ste E, Cumming, GA 30040
## 77 415 Peachtree Pkwy, Ste 200, Cumming, GA 30041
## 78 Suwanee, GA 30024
## 79 Cumming, GA 30028
## 80 410 Pilgrim Mill Rd, Cumming, GA 30040
## 81 Cumming, GA 30041
## 82 Cumming, GA 30028
## 83 337 Dahlonega St, Cumming, GA 30040
## 84 Cumming, GA
## 85 Cumming, GA 30028
## 86 386 Camp Wahsega Rd, Dahlonega, GA 30533
## 87 1927 Lakeside Pkwy, Tucker, GA 30084
## 88 Cumming, GA 30040
## 89 Cumming, GA 30041
## 90 Cumming, GA 30040
## 91 2755 Antioch Rd, Ste 7, Cumming, GA 30040
## 92 Cumming, GA 30041
## 93 Cumming, GA 30040
## 94 320 Atlanta Rd, Cumming, GA 30040
## 95 2603 Freedom Pkwy, Cumming, GA 30041
## 96 Cumming, GA 30028
## phone display_phone distance
## 1 +16784558310 (678) 455-8310 2423.9072
## 2 +17708447244 (770) 844-7244 2992.6780
## 3 +16784568368 (678) 456-8368 1490.1780
## 4 +17708874615 (770) 887-4615 1648.0538
## 5 +14702394502 (470) 239-4502 2753.4377
## 6 +17708873730 (770) 887-3730 2785.5972
## 7 +14708352324 (470) 835-2324 2377.8509
## 8 +16783418107 (678) 341-8107 1002.3447
## 9 +14705153683 (470) 515-3683 2686.2255
## 10 +14702538003 (470) 253-8003 2076.1668
## 11 2375.0845
## 12 +14708352316 (470) 835-2316 2462.4181
## 13 +16784558054 (678) 455-8054 3045.2333
## 14 +17708881998 (770) 888-1998 3074.6876
## 15 +17708444416 (770) 844-4416 3795.7891
## 16 +16787715346 (678) 771-5346 2432.0437
## 17 +14702398423 (470) 239-8423 2721.4371
## 18 +14706957233 (470) 695-7233 2762.1463
## 19 +17708869003 (770) 886-9003 1936.3746
## 20 +14702975569 (470) 297-5569 2540.9972
## 21 +17708896890 (770) 889-6890 2805.0512
## 22 +16784568431 (678) 456-8431 2400.9397
## 23 +16783410054 (678) 341-0054 2432.0437
## 24 +17708889993 (770) 888-9993 2986.7036
## 25 +17708885282 (770) 888-5282 4050.3400
## 26 +16784554430 (678) 455-4430 2542.8538
## 27 2620.6082
## 28 +16783419529 (678) 341-9529 2538.0757
## 29 +14706957444 (470) 695-7444 2739.1890
## 30 +17708878575 (770) 887-8575 3282.2428
## 31 +14049204865 (404) 920-4865 53479.4401
## 32 +17708873899 (770) 887-3899 2832.2236
## 33 +14042818900 (404) 281-8900 2677.7861
## 34 +16785575976 (678) 557-5976 46652.7412
## 35 +12296462295 (229) 646-2295 2330.5895
## 36 +17708874802 (770) 887-4802 2957.9682
## 37 +16787718827 (678) 771-8827 2617.1830
## 38 +14049517553 (404) 951-7553 65136.8539
## 39 +14705743735 (470) 574-3735 2382.8536
## 40 +14702394288 (470) 239-4288 2446.8813
## 41 +14702826789 (470) 282-6789 25485.0016
## 42 +16785135588 (678) 513-5588 3858.2942
## 43 +17707812215 (770) 781-2215 3224.2843
## 44 +17708838839 (770) 883-8839 2697.7938
## 45 +17708873240 (770) 887-3240 2676.6293
## 46 +16783419058 (678) 341-9058 2829.8285
## 47 769.9331
## 48 +16784448250 (678) 444-8250 2754.2710
## 49 +17708441601 (770) 844-1601 2804.1006
## 50 +17708880758 (770) 888-0758 3004.5369
## 51 +16787718003 (678) 771-8003 2695.5321
## 52 +17708877710 (770) 887-7710 2887.7433
## 53 +16785132822 (678) 513-2822 4087.6728
## 54 +17708444440 (770) 844-4440 2839.3512
## 55 +14702365540 (470) 236-5540 58362.4887
## 56 +17708449364 (770) 844-9364 4253.5557
## 57 +17707816689 (770) 781-6689 3920.7352
## 58 +16785136252 (678) 513-6252 2993.6855
## 59 +17707814225 (770) 781-4225 2992.9441
## 60 +16784568806 (678) 456-8806 2729.1084
## 61 +17705963609 (770) 596-3609 2697.7938
## 62 2754.2653
## 63 +17708882516 (770) 888-2516 2991.3421
## 64 +17707812010 (770) 781-2010 2697.7938
## 65 +14702811785 (470) 281-1785 3051.8645
## 66 +17708878812 (770) 887-8812 3778.0260
## 67 +16783817909 (678) 381-7909 15399.8849
## 68 +16789976532 (678) 997-6532 2697.7938
## 69 +14708395678 (470) 839-5678 2697.7938
## 70 +17705729290 (770) 572-9290 2677.6860
## 71 +14045187381 (404) 518-7381 3057.8693
## 72 +17249122427 (724) 912-2427 49919.7374
## 73 +17708866290 (770) 886-6290 3282.2428
## 74 2697.7938
## 75 +14706176780 (470) 617-6780 2754.2710
## 76 +16783407474 (678) 340-7474 3046.1706
## 77 +18884440934 (888) 444-0934 9403.6359
## 78 +16783104204 (678) 310-4204 20321.0398
## 79 +13474459520 (347) 445-9520 2697.7938
## 80 +17707813496 (770) 781-3496 2049.5998
## 81 +18773288942 (877) 328-8942 2697.7938
## 82 +14045740706 (404) 574-0706 2697.7938
## 83 +16784554443 (678) 455-4443 2085.6135
## 84 +13477383463 (347) 738-3463 2697.7938
## 85 +17708411156 (770) 841-1156 2697.7938
## 86 +17068678315 (706) 867-8315 39130.8024
## 87 +14709086057 (470) 908-6057 44369.5199
## 88 +16785581419 (678) 558-1419 2697.7938
## 89 +18053289286 (805) 328-9286 2697.7938
## 90 +14045527901 (404) 552-7901 2754.2653
## 91 +17708893000 (770) 889-3000 1725.6893
## 92 +14705337414 (470) 533-7414 2697.7938
## 93 +17705199850 (770) 519-9850 2754.2653
## 94 +17707815915 (770) 781-5915 3056.1307
## 95 +17708878812 (770) 887-8812 3776.2029
## 96 +14708757334 (470) 875-7334 2697.7938
## business_hours
## 1 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1600, 2100, 2100, 2100, 2100, 2130, 2130, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 2 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1700, 1100, 1700, 1100, 1700, 1100, 1700, 1100, 1700, 1100, 1700, 1400, 2100, 1400, 2100, 1400, 2100, 1400, 2200, 1400, 2200, 1400, 2100, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, REGULAR, FALSE
## 3 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0700, 0700, 0700, 0700, 0700, 0700, 0700, 2200, 2200, 2200, 2200, 2200, 2200, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 4 FALSE, FALSE, FALSE, FALSE, FALSE, 0600, 0600, 0600, 0600, 0600, 1200, 1200, 1200, 1200, 1200, 1, 2, 3, 4, 5, REGULAR, FALSE
## 5 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2000, 2000, 2000, 2000, 2100, 2100, 2000, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 6 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1200, 1600, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 7 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1200, 2000, 2000, 2000, 2200, 2000, 2200, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 8 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0730, 0730, 0730, 0730, 0730, 0830, 1630, 1630, 1630, 1630, 1630, 1530, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 9 FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 2000, 2000, 2000, 1800, 3, 4, 5, 6, REGULAR, FALSE
## 10 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 0900, 2000, 2000, 2000, 2000, 2000, 2000, 2000, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 11 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1200, 1200, 1200, 1200, 1200, 1200, 2100, 2100, 2100, 2100, 2100, 2100, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 12 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2200, 2200, 2200, 2200, 2300, 2300, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 13 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0700, 0700, 0700, 0700, 0730, 0700, 0700, 2030, 2030, 2030, 2030, 2030, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 14 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1700, 1700, 1700, 1700, 1100, 1700, 2200, 2200, 2200, 2200, 1430, 2200, 2, 3, 4, 5, 6, 6, REGULAR, FALSE
## 15 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1700, 1100, 1700, 1100, 1700, 1100, 1100, 1200, 1200, 1400, 2130, 1400, 2130, 1400, 2130, 2130, 2200, 2200, 2100, 0, 0, 1, 1, 2, 2, 3, 4, 5, 6, REGULAR, FALSE
## 16 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0730, 0730, 0730, 0730, 0730, 0800, 1200, 1800, 1800, 1800, 1800, 1800, 1800, 1800, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 17 FALSE, FALSE, FALSE, FALSE, FALSE, 1130, 1130, 1130, 1130, 1100, 2130, 2130, 2300, 2300, 2000, 2, 3, 4, 5, 6, REGULAR, FALSE
## 18 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1130, 1130, 2130, 2130, 2130, 2230, 2230, 2130, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 19 FALSE, FALSE, FALSE, FALSE, FALSE, 1700, 1700, 1700, 1700, 1700, 2100, 2100, 2200, 2200, 2100, 2, 3, 4, 5, 6, REGULAR, FALSE
## 20 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0630, 0630, 0630, 0630, 0630, 0800, 0800, 1830, 1830, 1830, 1830, 1830, 1500, 1500, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 21 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1130, 2130, 2130, 2130, 2200, 2200, 2100, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 22 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1130, 1130, 1130, 1130, 1130, 1100, 1100, 2100, 2100, 2100, 2100, 2200, 2200, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 23 FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 2030, 2030, 2030, 2030, 1800, 2, 3, 4, 5, 6, REGULAR, FALSE
## 24 FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 1500, 1500, 1500, 1500, 1500, 1, 2, 3, 4, 5, REGULAR, FALSE
## 25 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2130, 2130, 2130, 2130, 2200, 2200, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 26 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 0800, 0800, 2030, 2030, 2030, 2030, 2030, 2030, 2030, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 27 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2300, 2300, 2300, 0000, 0000, 0000, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 28 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 2000, 2000, 2000, 2100, 2100, 2000, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 29 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 0800, 2000, 2000, 2000, 2100, 2100, 2000, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 30 TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1200, 0100, 0100, 0100, 0100, 0200, 0200, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 31 FALSE, FALSE, FALSE, 1900, 1900, 1900, 2345, 2345, 2345, 1, 3, 4, REGULAR, FALSE
## 32 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2200, 2200, 2200, 2200, 2230, 2200, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 33 FALSE, FALSE, FALSE, FALSE, FALSE, 1030, 1030, 1030, 1030, 1030, 1800, 1800, 1800, 1700, 1700, 1, 2, 3, 4, 5, REGULAR, FALSE
## 34 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 0900, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 35 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0600, 0600, 0600, 0600, 0600, 0600, 0800, 2000, 2000, 2000, 2000, 2000, 2000, 1800, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 36 FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 1500, 1500, 1400, 1400, 1, 2, 3, 4, REGULAR, FALSE
## 37 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 1100, 2200, 2200, 2200, 2200, 2200, 2200, 1800, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 38 FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 1500, 1500, 1500, 1500, 1500, 0, 1, 2, 3, 4, REGULAR, FALSE
## 39 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1300, 1300, 1300, 1300, 1300, 1200, 2000, 2000, 2000, 2000, 2100, 2100, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 40 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1100, 2200, 2200, 2200, 2200, 2200, 2200, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 41 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0700, 0700, 0700, 0700, 0700, 0800, 0900, 1800, 1800, 1800, 1800, 1800, 1800, 1700, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 42 NULL
## 43 NULL
## 44 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 1200, 1900, 1900, 1900, 1900, 1930, 1900, 1700, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 45 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1000, 1000, 1000, 1000, 1000, 1000, 1100, 2200, 2200, 2200, 2200, 2200, 2200, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 46 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1200, 2200, 2200, 2200, 2230, 2230, 2000, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 47 NULL
## 48 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 0800, 0800, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 49 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0500, 0500, 0500, 0500, 0500, 0500, 0500, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 50 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 1000, 1000, 2000, 2000, 2000, 2000, 2000, 2000, 1900, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 51 NULL
## 52 FALSE, FALSE, FALSE, FALSE, TRUE, TRUE, FALSE, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 0000, 0000, 0000, 0000, 0100, 0100, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 53 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1030, 1030, 1030, 1030, 1030, 1030, 1030, 2200, 2200, 2200, 2200, 2200, 2200, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 54 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0500, 0500, 0500, 0500, 0500, 0500, 0600, 2000, 2000, 2000, 2000, 2000, 2000, 2000, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 55 NULL
## 56 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0400, 0400, 0400, 0400, 0400, 0400, 0400, 2300, 2300, 2300, 2300, 0000, 0000, 2300, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 57 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0600, 0600, 0600, 0600, 0600, 0600, 0600, 2000, 2000, 2000, 2000, 2000, 2000, 2000, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 58 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1030, 1030, 1030, 1030, 1030, 1030, 1030, 2200, 2200, 2200, 2200, 2200, 2200, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 59 TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 60 NULL
## 61 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 0900, 1700, 1700, 1700, 1700, 1700, 1700, 1700, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 62 FALSE, FALSE, FALSE, FALSE, FALSE, 1000, 1000, 1000, 1000, 1000, 1800, 1800, 1800, 1800, 1800, 0, 1, 2, 3, 4, REGULAR, FALSE
## 63 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 2300, 2300, 2300, 2300, 0000, 0000, 2300, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 64 NULL
## 65 FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 1900, 1900, 1900, 1900, 1500, 1, 2, 3, 4, 5, REGULAR, FALSE
## 66 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1000, 1000, 1000, 1000, 1000, 1000, 1000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 67 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 0900, 1900, 1900, 1900, 1900, 1900, 1900, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 68 NULL
## 69 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 1900, 1900, 1900, 1900, 1900, 1900, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 70 FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1100, 1400, 1400, 1400, 1400, 1400, 0, 1, 2, 3, 4, REGULAR, FALSE
## 71 FALSE, FALSE, FALSE, 1100, 1100, 1100, 1400, 1400, 1400, 3, 4, 5, REGULAR, FALSE
## 72 TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 73 FALSE, FALSE, FALSE, TRUE, 1100, 1100, 1100, 1100, 1500, 1500, 1500, 0300, 1, 2, 3, 4, REGULAR, FALSE
## 74 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 0800, 1800, 1800, 1800, 1800, 1800, 1700, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 75 FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 1700, 1700, 1700, 1700, 1700, 0, 1, 2, 3, 4, REGULAR, FALSE
## 76 NULL
## 77 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0600, 0600, 0600, 0600, 0600, 0600, 0600, 2200, 2200, 2200, 2200, 1200, 1200, 2200, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 78 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0900, 0900, 0900, 0900, 0900, 0900, 0900, 1900, 1900, 1900, 1900, 1900, 1900, 1900, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 79 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1100, 1100, 1100, 1100, 1030, 1030, 1700, 1700, 1700, 1700, 1630, 1630, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 80 NULL
## 81 NULL
## 82 TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 83 FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 2000, 2000, 2000, 2000, 2000, 0, 1, 2, 3, 4, REGULAR, FALSE
## 84 NULL
## 85 NULL
## 86 FALSE, FALSE, FALSE, FALSE, FALSE, 0800, 0800, 0800, 0800, 0800, 1700, 1700, 1700, 1700, 1700, 0, 1, 2, 3, 4, REGULAR, FALSE
## 87 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 0700, 0700, 0700, 0700, 0700, 0700, 0700, 1900, 1900, 1900, 1900, 1900, 1900, 1900, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 88 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1000, 1000, 1000, 1000, 0900, 1100, 1700, 1700, 1700, 2000, 2000, 1500, 0, 1, 2, 3, 4, 5, REGULAR, FALSE
## 89 NULL
## 90 TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, TRUE, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0000, 0, 1, 2, 3, 4, 5, 6, REGULAR, TRUE
## 91 NULL
## 92 NULL
## 93 FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, 1615, 1615, 1615, 1615, 1615, 0900, 1200, 2100, 2100, 2100, 2100, 2100, 2100, 2100, 0, 1, 2, 3, 4, 5, 6, REGULAR, FALSE
## 94 NULL
## 95 NULL
## 96 NULL
## attributes.business_temp_closed attributes.open24_hours
## 1 NA NA
## 2 NA NA
## 3 NA NA
## 4 NA NA
## 5 NA NA
## 6 NA NA
## 7 NA NA
## 8 NA NA
## 9 NA NA
## 10 NA NA
## 11 NA NA
## 12 NA NA
## 13 NA NA
## 14 NA NA
## 15 NA NA
## 16 NA NA
## 17 NA NA
## 18 NA NA
## 19 NA NA
## 20 NA NA
## 21 NA NA
## 22 NA NA
## 23 NA NA
## 24 NA NA
## 25 NA NA
## 26 NA NA
## 27 NA NA
## 28 NA NA
## 29 NA NA
## 30 NA NA
## 31 NA NA
## 32 NA NA
## 33 NA NA
## 34 NA NA
## 35 NA NA
## 36 NA NA
## 37 NA NA
## 38 NA NA
## 39 NA NA
## 40 NA NA
## 41 NA NA
## 42 NA NA
## 43 NA NA
## 44 NA NA
## 45 NA NA
## 46 NA NA
## 47 NA NA
## 48 NA NA
## 49 NA NA
## 50 NA NA
## 51 NA NA
## 52 NA NA
## 53 NA NA
## 54 NA NA
## 55 NA NA
## 56 NA NA
## 57 NA NA
## 58 NA NA
## 59 NA NA
## 60 NA NA
## 61 NA NA
## 62 NA NA
## 63 NA NA
## 64 NA NA
## 65 NA NA
## 66 NA NA
## 67 NA NA
## 68 NA NA
## 69 NA NA
## 70 NA NA
## 71 NA NA
## 72 NA NA
## 73 NA NA
## 74 NA NA
## 75 NA NA
## 76 NA NA
## 77 NA NA
## 78 NA NA
## 79 NA NA
## 80 NA NA
## 81 NA NA
## 82 NA NA
## 83 NA NA
## 84 NA NA
## 85 NA NA
## 86 NA NA
## 87 NA NA
## 88 NA NA
## 89 NA NA
## 90 NA NA
## 91 NA NA
## 92 NA NA
## 93 NA NA
## 94 NA NA
## 95 NA NA
## 96 NA NA
## attributes.menu_url
## 1 http://tamsbackstage.com/index-3.html
## 2 http://www.gasthaus-cumming.com/menu.html
## 3 https://img1.wsimg.com/blobby/go/9903f269-7bc9-4fb7-9de5-de01b0c77e1e/downloads/rio%20menu%202019%20letter.pdf?ver=1563053267407
## 4 https://www.sawneemtnbiscuitco.com/menu
## 5 https://www.villageburger.com/Menu
## 6 https://www.annunziataspizza.com/menu
## 7 <NA>
## 8 <NA>
## 9 https://www.smokeyqbbq.com/menu
## 10 https://d2saw6je89goi1.cloudfront.net/uploads/digital_asset/file/807221/savory_menu_small_size-compressed.pdf
## 11 https://www.vampirepenguin.com/menu
## 12 https://homesteadga.com/wp-content/uploads/Homestead_Menu.pdf
## 13 <NA>
## 14 https://www.meadowgrill.com/menu
## 15 https://www.gvitalian.com/files/136862031.pdf
## 16 https://cdn.shopify.com/s/files/1/0708/6476/5211/files/Menu.pdf?v=1691682847
## 17 https://hallandhoundbrewing.com/cumming-hall-and-hound-brewing-co-food-menu
## 18 <NA>
## 19 http://www.theridgerestaurant.com/menu.html
## 20 <NA>
## 21 http://www.roosterscafe.net/menu.html
## 22 https://tincupgrill.com/menus/
## 23 <NA>
## 24 http://donutdepot.net/?page_id=237
## 25 <NA>
## 26 <NA>
## 27 <NA>
## 28 https://www.loscompadresrestaurants.com/menu
## 29 <NA>
## 30 http://goodoldaysbarandgrill.com/menu/
## 31 <NA>
## 32 https://www.elriocantina.com/pages/our-menu
## 33 <NA>
## 34 http://www.atlantaicecreamtruck.com/menu
## 35 https://www.ellianos.com/menu/
## 36 https://www.3790theheights.org/menu
## 37 <NA>
## 38 http://www.iralanecoffee.com/menu.html
## 39 <NA>
## 40 <NA>
## 41 <NA>
## 42 <NA>
## 43 <NA>
## 44 http://www.abakingman.com/shop
## 45 https://www.dairyqueen.com/en-us/menu/
## 46 <NA>
## 47 <NA>
## 48 https://bakedparadise.com/menu
## 49 https://www.dunkindonuts.com/en/menu
## 50 <NA>
## 51 <NA>
## 52 <NA>
## 53 https://www.zaxbys.com/menu
## 54 https://hardees.com/menu
## 55 https://www.cousinsmainelobster.com/locations/atlanta-ga-truck/
## 56 https://www.mcdonalds.com/us/en-us/full-menu.html?cid=PS:GCM_MOP:NB::Yelp:All
## 57 <NA>
## 58 https://www.zaxbys.com/menu/
## 59 https://www.wafflehouse.com/breakfast-nutritionals/
## 60 <NA>
## 61 http://thefineprintbakery.com
## 62 <NA>
## 63 https://www.papajohns.com/order/menu
## 64 <NA>
## 65 https://cassiecakesbakery.com/menu/
## 66 http://pizzahut.com
## 67 <NA>
## 68 https://www.drazticaztec.com/menu
## 69 <NA>
## 70 <NA>
## 71 <NA>
## 72 <NA>
## 73 <NA>
## 74 <NA>
## 75 <NA>
## 76 <NA>
## 77 <NA>
## 78 https://www.queenofsweetsbakery.com/menus
## 79 <NA>
## 80 <NA>
## 81 https://www.tygabites.com/menu/
## 82 http://www.dshandcrafted.com/catering/
## 83 <NA>
## 84 <NA>
## 85 <NA>
## 86 <NA>
## 87 <NA>
## 88 <NA>
## 89 <NA>
## 90 <NA>
## 91 <NA>
## 92 <NA>
## 93 <NA>
## 94 <NA>
## 95 <NA>
## 96 <NA>
## attributes.waitlist_reservation
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 FALSE
## 8 NA
## 9 NA
## 10 NA
## 11 NA
## 12 NA
## 13 NA
## 14 NA
## 15 NA
## 16 NA
## 17 NA
## 18 NA
## 19 NA
## 20 NA
## 21 NA
## 22 TRUE
## 23 NA
## 24 NA
## 25 NA
## 26 NA
## 27 NA
## 28 NA
## 29 NA
## 30 NA
## 31 NA
## 32 NA
## 33 NA
## 34 NA
## 35 NA
## 36 NA
## 37 NA
## 38 NA
## 39 NA
## 40 NA
## 41 NA
## 42 NA
## 43 NA
## 44 NA
## 45 NA
## 46 NA
## 47 NA
## 48 NA
## 49 NA
## 50 NA
## 51 NA
## 52 NA
## 53 NA
## 54 NA
## 55 NA
## 56 NA
## 57 NA
## 58 NA
## 59 NA
## 60 NA
## 61 NA
## 62 NA
## 63 NA
## 64 NA
## 65 NA
## 66 NA
## 67 NA
## 68 NA
## 69 NA
## 70 NA
## 71 NA
## 72 NA
## 73 NA
## 74 NA
## 75 NA
## 76 NA
## 77 NA
## 78 NA
## 79 NA
## 80 NA
## 81 NA
## 82 NA
## 83 NA
## 84 NA
## 85 NA
## 86 NA
## 87 NA
## 88 NA
## 89 NA
## 90 FALSE
## 91 NA
## 92 NA
## 93 NA
## 94 NA
## 95 NA
## 96 NAyelp_first_tract <- get_yelp(ready_4_yelp[1,], "movietheatres") %>%
as_tibble()## No encoding supplied: defaulting to UTF-8.
## No encoding supplied: defaulting to UTF-8.yelp_all_movietheatres_list <- vector("list", nrow(ready_4_yelp))
# Looping through all Census Tracts
for (row in 1:nrow(ready_4_yelp)){
yelp_all_movietheatres_list[[row]] <- suppressMessages(get_yelp(ready_4_yelp[row,], "movietheatres"))
print(paste0("Current row: ", row))
}## [1] "Current row: 1"
## [1] "Current row: 2"
## [1] "Current row: 3"
## [1] "Current row: 4"
## [1] "Current row: 5"
## [1] "Current row: 6"
## [1] "Current row: 7"
## [1] "Current row: 8"
## [1] "Current row: 9"
## [1] "Current row: 10"# Collapsing the list into a data.frame
yelp_all_movietheatres <- yelp_all_movietheatres_list %>% bind_rows() %>% as_tibble()
# print
yelp_all_movietheatres %>% print(width=1000)## # A tibble: 1,202 × 18
## id alias
## <chr> <chr>
## 1 -QzATE8gbPVyjI9CTYSUOg tams-backstage-cumming
## 2 MdsnJ4UjFpgC0aJNqoaQ_w gasthaus-tirol-cumming-2
## 3 WruWv2Q96AcbxrrG_ucIsg balsas-mexican-restaurant-cumming
## 4 3rfhvsxSEF_MkWdzxhUShw sawnee-mountain-biscuit-cumming
## 5 kFL2Ysx-RmhQ-_ALHAv-PA village-burger-cumming-cumming
## 6 ifHY8ZAwAho9uHAiqHyywA annunziatas-pizza-and-pasta-cumming
## 7 6CLbYKwLMOg1hO7l3Ga4sg sliceability-cumming
## 8 yASAsKLBr6lOtXlrfExU_Q mexican-grill-cumming
## 9 SeG1Jtl0spcieaUZX0KBNg smokeyq-cumming
## 10 uAze_Oo_FJxF24SrcrTCww savory-mexican-restaurant-cumming
## name
## <chr>
## 1 Tam's Backstage
## 2 Gasthaus Tirol
## 3 Balsas Mexican Restaurant
## 4 Sawnee Mountain Biscuit
## 5 Village Burger - Cumming
## 6 Annunziata's Pizza & Pasta
## 7 SliceAbility
## 8 Mexican Grill
## 9 SmokeyQ
## 10 Savory Mexican Restaurant
## image_url
## <chr>
## 1 https://s3-media2.fl.yelpcdn.com/bphoto/SRhLlUuNWhgz-kigadFD-w/o.jpg
## 2 https://s3-media1.fl.yelpcdn.com/bphoto/LSp42VOe43JPzjAHwfJzjA/o.jpg
## 3 https://s3-media2.fl.yelpcdn.com/bphoto/2LfESnbOdr8voTqasjhKJQ/o.jpg
## 4 https://s3-media2.fl.yelpcdn.com/bphoto/aFkvv-P6C4qvGkQu4C15Iw/o.jpg
## 5 https://s3-media1.fl.yelpcdn.com/bphoto/XCuVdf2GKTzSVwaAMolQqw/o.jpg
## 6 https://s3-media4.fl.yelpcdn.com/bphoto/96iITIDdyTu883G80tIIgw/o.jpg
## 7 https://s3-media3.fl.yelpcdn.com/bphoto/MM8LN_pUOEpSzwRRgOKHXQ/o.jpg
## 8 https://s3-media4.fl.yelpcdn.com/bphoto/M-WrYJCIfntaXyFG99vZ4Q/o.jpg
## 9 https://s3-media4.fl.yelpcdn.com/bphoto/IVONTBz_vuFSMn5Tiyf6zg/o.jpg
## 10 https://s3-media2.fl.yelpcdn.com/bphoto/-VC9rd97eVTOvlhSBwz2AQ/o.jpg
## is_closed
## <lgl>
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## 7 FALSE
## 8 FALSE
## 9 FALSE
## 10 FALSE
## url
## <chr>
## 1 https://www.yelp.com/biz/tams-backstage-cumming?adjust_creative=1K83ZF1zfv8V…
## 2 https://www.yelp.com/biz/gasthaus-tirol-cumming-2?adjust_creative=1K83ZF1zfv…
## 3 https://www.yelp.com/biz/balsas-mexican-restaurant-cumming?adjust_creative=1…
## 4 https://www.yelp.com/biz/sawnee-mountain-biscuit-cumming?adjust_creative=1K8…
## 5 https://www.yelp.com/biz/village-burger-cumming-cumming?adjust_creative=1K83…
## 6 https://www.yelp.com/biz/annunziatas-pizza-and-pasta-cumming?adjust_creative…
## 7 https://www.yelp.com/biz/sliceability-cumming?adjust_creative=1K83ZF1zfv8Vvq…
## 8 https://www.yelp.com/biz/mexican-grill-cumming?adjust_creative=1K83ZF1zfv8Vv…
## 9 https://www.yelp.com/biz/smokeyq-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1o…
## 10 https://www.yelp.com/biz/savory-mexican-restaurant-cumming?adjust_creative=1…
## review_count categories rating coordinates$latitude $longitude transactions
## <int> <list> <dbl> <dbl> <dbl> <list>
## 1 264 <df [2 × 2]> 4.2 34.2 -84.1 <chr [1]>
## 2 224 <df [3 × 2]> 3.9 34.2 -84.1 <chr [1]>
## 3 125 <df [1 × 2]> 4.2 34.2 -84.1 <chr [2]>
## 4 55 <df [2 × 2]> 4.5 34.2 -84.1 <chr [1]>
## 5 210 <df [3 × 2]> 4.1 34.2 -84.1 <chr [2]>
## 6 128 <df [3 × 2]> 4.2 34.2 -84.1 <chr [1]>
## 7 41 <df [3 × 2]> 4.8 34.2 -84.1 <chr [2]>
## 8 10 <df [1 × 2]> 4.8 34.2 -84.1 <chr [1]>
## 9 40 <df [1 × 2]> 4.4 34.2 -84.1 <chr [1]>
## 10 56 <df [2 × 2]> 4.7 34.2 -84.1 <chr [2]>
## price location$address1 $address2 $address3 $city $zip_code
## <chr> <chr> <chr> <chr> <chr> <chr>
## 1 $$ 215 Ingram Ave "" "" Cumming 30040
## 2 $$ 310 Atlanta Rd "" "" Cumming 30040
## 3 $$ 1495 Dahlonega Hwy <NA> "" Cumming 30040
## 4 $ 104 13th St "" "" Cumming 30040
## 5 $$ 101 W Courthouse Square <NA> "" Cumming 30040
## 6 <NA> 111 W Courthouse Sq "" <NA> Cumming 30040
## 7 $ 420 Vision Dr "Ste A102" <NA> Cumming 30028
## 8 $ 601 Dahlonega St "" <NA> Cumming 30040
## 9 $ 1850 Bald Ridge Marina Rd "" <NA> Cumming 30041
## 10 <NA> 337 Dahlonega St <NA> "" Cumming 30040
## $country $state $display_address phone display_phone distance
## <chr> <chr> <list> <chr> <chr> <dbl>
## 1 US GA <chr [2]> +16784558310 (678) 455-8310 2424.
## 2 US GA <chr [2]> +17708447244 (770) 844-7244 2993.
## 3 US GA <chr [2]> +16784568368 (678) 456-8368 1490.
## 4 US GA <chr [2]> +17708874615 (770) 887-4615 1648.
## 5 US GA <chr [2]> +14702394502 (470) 239-4502 2753.
## 6 US GA <chr [2]> +17708873730 (770) 887-3730 2786.
## 7 US GA <chr [3]> +14708352324 (470) 835-2324 2378.
## 8 US GA <chr [2]> +16783418107 (678) 341-8107 1002.
## 9 US GA <chr [2]> +14705153683 (470) 515-3683 2686.
## 10 US GA <chr [2]> +14702538003 (470) 253-8003 2076.
## business_hours attributes$business_temp_closed $open24_hours
## <list> <int> <lgl>
## 1 <df [1 × 3]> NA NA
## 2 <df [1 × 3]> NA NA
## 3 <df [1 × 3]> NA NA
## 4 <df [1 × 3]> NA NA
## 5 <df [1 × 3]> NA NA
## 6 <df [1 × 3]> NA NA
## 7 <df [1 × 3]> NA NA
## 8 <df [1 × 3]> NA NA
## 9 <df [1 × 3]> NA NA
## 10 <df [1 × 3]> NA NA
## $menu_url
## <chr>
## 1 http://tamsbackstage.com/index-3.html
## 2 http://www.gasthaus-cumming.com/menu.html
## 3 https://img1.wsimg.com/blobby/go/9903f269-7bc9-4fb7-9de5-de01b0c77e1e/downlo…
## 4 https://www.sawneemtnbiscuitco.com/menu
## 5 https://www.villageburger.com/Menu
## 6 https://www.annunziataspizza.com/menu
## 7 <NA>
## 8 <NA>
## 9 https://www.smokeyqbbq.com/menu
## 10 https://d2saw6je89goi1.cloudfront.net/uploads/digital_asset/file/807221/savo…
## $waitlist_reservation
## <lgl>
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 FALSE
## 8 NA
## 9 NA
## 10 NA
## # ℹ 1,192 more rowsyelp_all_restaurants_list <- vector("list", nrow(ready_4_yelp)) # Make a vector to store the data
for (row in 1:nrow(ready_4_yelp)){ # Looping through all Census Tracts (for-loop)
yelp_all_restaurants_list[[row]] <- suppressMessages(get_yelp(ready_4_yelp[row,], "restaurants"))
print(paste0("Current row: ", row))
}## [1] "Current row: 1"
## [1] "Current row: 2"
## [1] "Current row: 3"
## [1] "Current row: 4"
## [1] "Current row: 5"
## [1] "Current row: 6"
## [1] "Current row: 7"
## [1] "Current row: 8"
## [1] "Current row: 9"
## [1] "Current row: 10"yelp_all_restaurants <- yelp_all_restaurants_list %>% bind_rows() %>% as_tibble() # Merge all elements in the list into a single data frame
yelp_all_restaurants %>% print(width=1000) # print## # A tibble: 892 × 18
## id alias
## <chr> <chr>
## 1 -QzATE8gbPVyjI9CTYSUOg tams-backstage-cumming
## 2 MdsnJ4UjFpgC0aJNqoaQ_w gasthaus-tirol-cumming-2
## 3 WruWv2Q96AcbxrrG_ucIsg balsas-mexican-restaurant-cumming
## 4 3rfhvsxSEF_MkWdzxhUShw sawnee-mountain-biscuit-cumming
## 5 kFL2Ysx-RmhQ-_ALHAv-PA village-burger-cumming-cumming
## 6 ifHY8ZAwAho9uHAiqHyywA annunziatas-pizza-and-pasta-cumming
## 7 6CLbYKwLMOg1hO7l3Ga4sg sliceability-cumming
## 8 yASAsKLBr6lOtXlrfExU_Q mexican-grill-cumming
## 9 SeG1Jtl0spcieaUZX0KBNg smokeyq-cumming
## 10 uAze_Oo_FJxF24SrcrTCww savory-mexican-restaurant-cumming
## name
## <chr>
## 1 Tam's Backstage
## 2 Gasthaus Tirol
## 3 Balsas Mexican Restaurant
## 4 Sawnee Mountain Biscuit
## 5 Village Burger - Cumming
## 6 Annunziata's Pizza & Pasta
## 7 SliceAbility
## 8 Mexican Grill
## 9 SmokeyQ
## 10 Savory Mexican Restaurant
## image_url
## <chr>
## 1 https://s3-media2.fl.yelpcdn.com/bphoto/SRhLlUuNWhgz-kigadFD-w/o.jpg
## 2 https://s3-media1.fl.yelpcdn.com/bphoto/LSp42VOe43JPzjAHwfJzjA/o.jpg
## 3 https://s3-media2.fl.yelpcdn.com/bphoto/2LfESnbOdr8voTqasjhKJQ/o.jpg
## 4 https://s3-media2.fl.yelpcdn.com/bphoto/aFkvv-P6C4qvGkQu4C15Iw/o.jpg
## 5 https://s3-media1.fl.yelpcdn.com/bphoto/XCuVdf2GKTzSVwaAMolQqw/o.jpg
## 6 https://s3-media4.fl.yelpcdn.com/bphoto/96iITIDdyTu883G80tIIgw/o.jpg
## 7 https://s3-media3.fl.yelpcdn.com/bphoto/MM8LN_pUOEpSzwRRgOKHXQ/o.jpg
## 8 https://s3-media4.fl.yelpcdn.com/bphoto/M-WrYJCIfntaXyFG99vZ4Q/o.jpg
## 9 https://s3-media4.fl.yelpcdn.com/bphoto/IVONTBz_vuFSMn5Tiyf6zg/o.jpg
## 10 https://s3-media2.fl.yelpcdn.com/bphoto/-VC9rd97eVTOvlhSBwz2AQ/o.jpg
## is_closed
## <lgl>
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## 7 FALSE
## 8 FALSE
## 9 FALSE
## 10 FALSE
## url
## <chr>
## 1 https://www.yelp.com/biz/tams-backstage-cumming?adjust_creative=1K83ZF1zfv8V…
## 2 https://www.yelp.com/biz/gasthaus-tirol-cumming-2?adjust_creative=1K83ZF1zfv…
## 3 https://www.yelp.com/biz/balsas-mexican-restaurant-cumming?adjust_creative=1…
## 4 https://www.yelp.com/biz/sawnee-mountain-biscuit-cumming?adjust_creative=1K8…
## 5 https://www.yelp.com/biz/village-burger-cumming-cumming?adjust_creative=1K83…
## 6 https://www.yelp.com/biz/annunziatas-pizza-and-pasta-cumming?adjust_creative…
## 7 https://www.yelp.com/biz/sliceability-cumming?adjust_creative=1K83ZF1zfv8Vvq…
## 8 https://www.yelp.com/biz/mexican-grill-cumming?adjust_creative=1K83ZF1zfv8Vv…
## 9 https://www.yelp.com/biz/smokeyq-cumming?adjust_creative=1K83ZF1zfv8Vvq4F_1o…
## 10 https://www.yelp.com/biz/savory-mexican-restaurant-cumming?adjust_creative=1…
## review_count categories rating coordinates$latitude $longitude transactions
## <int> <list> <dbl> <dbl> <dbl> <list>
## 1 264 <df [2 × 2]> 4.2 34.2 -84.1 <chr [1]>
## 2 224 <df [3 × 2]> 3.9 34.2 -84.1 <chr [1]>
## 3 125 <df [1 × 2]> 4.2 34.2 -84.1 <chr [2]>
## 4 55 <df [2 × 2]> 4.5 34.2 -84.1 <chr [1]>
## 5 210 <df [3 × 2]> 4.1 34.2 -84.1 <chr [2]>
## 6 128 <df [3 × 2]> 4.2 34.2 -84.1 <chr [1]>
## 7 41 <df [3 × 2]> 4.8 34.2 -84.1 <chr [2]>
## 8 10 <df [1 × 2]> 4.8 34.2 -84.1 <chr [1]>
## 9 40 <df [1 × 2]> 4.4 34.2 -84.1 <chr [1]>
## 10 56 <df [2 × 2]> 4.7 34.2 -84.1 <chr [2]>
## price location$address1 $address2 $address3 $city $zip_code
## <chr> <chr> <chr> <chr> <chr> <chr>
## 1 $$ 215 Ingram Ave "" "" Cumming 30040
## 2 $$ 310 Atlanta Rd "" "" Cumming 30040
## 3 $$ 1495 Dahlonega Hwy <NA> "" Cumming 30040
## 4 $ 104 13th St "" "" Cumming 30040
## 5 $$ 101 W Courthouse Square <NA> "" Cumming 30040
## 6 <NA> 111 W Courthouse Sq "" <NA> Cumming 30040
## 7 $ 420 Vision Dr "Ste A102" <NA> Cumming 30028
## 8 $ 601 Dahlonega St "" <NA> Cumming 30040
## 9 $ 1850 Bald Ridge Marina Rd "" <NA> Cumming 30041
## 10 <NA> 337 Dahlonega St <NA> "" Cumming 30040
## $country $state $display_address phone display_phone distance
## <chr> <chr> <list> <chr> <chr> <dbl>
## 1 US GA <chr [2]> +16784558310 (678) 455-8310 2424.
## 2 US GA <chr [2]> +17708447244 (770) 844-7244 2993.
## 3 US GA <chr [2]> +16784568368 (678) 456-8368 1490.
## 4 US GA <chr [2]> +17708874615 (770) 887-4615 1648.
## 5 US GA <chr [2]> +14702394502 (470) 239-4502 2753.
## 6 US GA <chr [2]> +17708873730 (770) 887-3730 2786.
## 7 US GA <chr [3]> +14708352324 (470) 835-2324 2378.
## 8 US GA <chr [2]> +16783418107 (678) 341-8107 1002.
## 9 US GA <chr [2]> +14705153683 (470) 515-3683 2686.
## 10 US GA <chr [2]> +14702538003 (470) 253-8003 2076.
## business_hours attributes$business_temp_closed $open24_hours
## <list> <int> <lgl>
## 1 <df [1 × 3]> NA NA
## 2 <df [1 × 3]> NA NA
## 3 <df [1 × 3]> NA NA
## 4 <df [1 × 3]> NA NA
## 5 <df [1 × 3]> NA NA
## 6 <df [1 × 3]> NA NA
## 7 <df [1 × 3]> NA NA
## 8 <df [1 × 3]> NA NA
## 9 <df [1 × 3]> NA NA
## 10 <df [1 × 3]> NA NA
## $menu_url
## <chr>
## 1 http://tamsbackstage.com/index-3.html
## 2 http://www.gasthaus-cumming.com/menu.html
## 3 https://img1.wsimg.com/blobby/go/9903f269-7bc9-4fb7-9de5-de01b0c77e1e/downlo…
## 4 https://www.sawneemtnbiscuitco.com/menu
## 5 https://www.villageburger.com/Menu
## 6 https://www.annunziataspizza.com/menu
## 7 <NA>
## 8 <NA>
## 9 https://www.smokeyqbbq.com/menu
## 10 https://d2saw6je89goi1.cloudfront.net/uploads/digital_asset/file/807221/savo…
## $waitlist_reservation
## <lgl>
## 1 NA
## 2 NA
## 3 NA
## 4 NA
## 5 NA
## 6 NA
## 7 FALSE
## 8 NA
## 9 NA
## 10 NA
## # ℹ 882 more rowsmessage(sprintf("nrow: %s, ncol: %s", nrow(yelp_all_restaurants), ncol(yelp_all_restaurants)))## nrow: 892, ncol: 18yelp_two_biz_all <- bind_rows(yelp_all_movietheatres, yelp_all_restaurants)
message(sprintf("nrow: %s, ncol: %s", nrow(yelp_two_biz_all), ncol(yelp_two_biz_all)))## nrow: 2094, ncol: 18yelp_restaurants_sf <- yelp_all_restaurants %>%
mutate(x = .$coordinates$longitude,
y = .$coordinates$latitude) %>%
filter(!is.na(x) & !is.na(y)) %>%
st_as_sf(coords = c("x", "y"), crs = 4326)
yelp_movietheatres_sf <- yelp_all_movietheatres %>%
mutate(x = .$coordinates$longitude,
y = .$coordinates$latitude) %>%
filter(!is.na(x) & !is.na(y)) %>%
st_as_sf(coords = c("x", "y"), crs = 4326)Plots for restaurants (above) and movie theatres (below)
Note that the echo = FALSE parameter was added to the
code chunk to prevent printing of the R code that generated the
plot.