Multi-Layer Interactive Map

Yelp Kaggle Dataset on the Map

library(dplyr)
library(leaflet)
load('data/yelp1.rdata')

# create popups in html format
url = "'http://www.cm.nsysu.edu.tw'"
biz$popup = paste(
  sep="<br/>",
  sprintf("<b><a href=%s>%s</a></b>",url,biz$name),
  sprintf("Stars:%.1f, Reviews:%d",biz$star,biz$review),
  biz$address)

# patition the biz data_frame by the no. review 
biz$review %>% cut(c(0,5,10,50,100,200,400,900)) %>% table

.
    (0,5]    (5,10]   (10,50]  (50,100] (100,200] (200,400] (400,900] 
     5272      2406      2731       678       329        97        24 

biz$no.review = cut(biz$review, c(0,5,10,50,100,200,400,900))
bx = split(biz, biz$no.review)

# create the map object
l <- leaflet() %>% addTiles() 

# add a level of markers per partition
names(bx) %>% purrr::walk( function(df) {
  l <<- l %>% addMarkers(
    data=bx[[df]], lng=~longitude, lat=~latitude,
    label=~name,
    popup=~popup,
    group = df,
    clusterOptions=markerClusterOptions(removeOutsideVisibleBounds=F),
    labelOptions = labelOptions(noHide=F, direction='auto')) 
  })

An Multi-Layer Interactive Map

Besides zoom-and-pan, try …

• clicking the check box in the upper right to selecting businesses (by the number of reviews)
• clicking the color buttons to zoomin
• hovering on the markers to see business names
• clicking on the markers to see the business info.
  • URL,
  • No. Stars,
  • No. Review,
  • Address

# plot the map 
l %>% addLayersControl(
  overlayGroups = names(bx),
  options = layersControlOptions(collapsed = FALSE) )