CLTCraftBeer/CraftBeerMap.R at master · ImDavidJordan/CLTCraftBeer · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
library(leaflet,rgdal)
library(shiny)
library(rsconnect)
library(data.table)
library(plotly)
library(leaflet)
library(plyr)
rsconnect::setAccountInfo(name='imdavidjordan', token='AE67CB673B29060AC44C11D499F5F92E', secret='FdmHdvZeFZqsivaudPLAmPmgnI8KgqE5P2Z4eicT')


#Reading in Craft Beer Data
Breweries <- read.csv("Data Folder/Beer Data.csv")

#Reading in Beer List Data
Beer_List <- read.csv("Data Folder/Charlotte Craft Beer List.csv")

#Generating a dataframe of beer styles by brewery
Beer_List2 <-data.table(Beer_List)
Beer_List3 <- Beer_List2[,list(Style=list(unique(Style))),by=Brewery]

l<-list()
for (i in 1:length(Beer_List3$Brewery)){
  Styles<-toString(unlist(Beer_List3$Style[i],recursive = TRUE, use.names = TRUE))
  l[i]<-Styles
}
Beer_List3$Styles <- l #Adds Styles to Beer List Dataset

#Adding Beer Styles to Breweries Dataset
Breweries_New <- merge(Breweries, Beer_List3, by="Brewery")

#Getting the Frequency of Year Opened
#Brew_Freq <- table(Breweries$Year.Opened)
#Brew_Freq

#Creating Icons for Map Markers
beer_bottle <- makeIcon("bottle.png","bottle.png",36,36)

ui <- navbarPage("Charlotte Craft Breweries Map", id="nav",
                  tabPanel("Interactive Map",
                           wellPanel(selectInput("Styles",
                                                 "Beer Styles",
                                                 choices=unique(Beer_List$Style),
                                                 multiple=FALSE)),
                           leafletOutput("CharlotteCraftMap")

                 ),
                 tabPanel("Statistics",
                          wellPanel(h3("Brewery Statistics"),
                                    plotlyOutput("BreweryOpen")
                                    ),
                          wellPanel(h3("Beer Statistics"))
                          ),
                 tabPanel("Brewery Data Viewer", dataTableOutput("table")
                          ),
                 tabPanel("Beer Data Viewer", dataTableOutput("Beers"))
                 )


server <- function(input, output, session) {

  output$CharlotteCraftMap <- renderLeaflet({
  #Plotting Beer Map Using Leaflet
  leaflet(Breweries_New) %>%
      addProviderTiles("OpenStreetMap")%>%
      addMarkers(icon=beer_bottle,
                 popup=paste(
                   "<b>",
                   "Brewery: ",
                   "</b>",
                   paste("<a href=",Breweries_New$Brewery.Website,
                         ">",
                         Breweries_New$Brewery,
                         "</a>"),
                   "<br>",
                   "<b>",
                   "Neighborhood: ",
                   "</b>",
                   Breweries_New$Neighborhood,
                   "<br>",
                   "<b>",
                   "Avg. Yelp Score: ",
                   "</b>",
                   Breweries_New$Average.Yelp.Rating,
                   "<br>",
                   "<b>",
                   "Styles: ",
                   "</b>",
                   Breweries_New$Styles
                 )
      )
  })

  filteredData <- reactive({
    Filtered_Breweries <- subset(Breweries_New, grepl(input$Styles,Breweries_New$Styles))
  })
  observe({
    leafletProxy("CharlotteCraftMap",data=filteredData()) %>%
      clearMarkers() %>%
      addMarkers(icon=beer_bottle,
                 popup=paste(
                   "<b>",
                   "Brewery: ",
                   "</b>",
                   paste("<a href=",filteredData()[,7],
                         ">",
                         filteredData()[,1],
                         "</a>"),
                   "<br>",
                   "<b>",
                   "Neighborhood: ",
                   "</b>",
                   filteredData()[,5],
                   "<br>",
                   "<b>",
                   "Avg. Yelp Score: ",
                   "</b>",
                   filteredData()[,6],
                   "<br>",
                   "<b>",
                   "Styles: ",
                   "</b>",
                   filteredData()[,9]
                 )
      )
  })

  #Creating plots from beer data
  output$BreweryOpen<-renderPlotly({
    Brewery_Openings<- count(Breweries_New$Year.Opened)
    plot_ly(x = ~Brewery_Openings$x, y = ~Brewery_Openings$freq, mode="lines") %>%
      layout(xaxis=list(title="Year"),
             yaxis=list(title="Brewery Openings")
      )
    })
  Breweries_New_D <- data.table(subset(Breweries_New,select = c(1:7,9)))
  output$table <- renderDataTable(Breweries_New_D)
  output$Beers <- renderDataTable(Beer_List2)
}

shinyApp(ui, server)