michaelbay.r

dataframe.R

#Grab all of the info and put it into a dataframe
mikebay_movies <- lapply(vrottenrate(mikebay_movies$Film), function(x) as.data.frame(t(x), stringsAsFactors = FALSE))
mikebay_movies_dt <- rbindlist(mikebay_movies,fill=TRUE)

function.R

#Create a function that will download movie info
rottenrate <- function(movie){
 require(RJSONIO)
  link <- paste("http://www.omdbapi.com/?t=", movie, "&y=&plot=short&r=json&tomatoes=true", sep = "")
  jsonData <- fromJSON(link)
  return(jsonData)
}
vrottenrate <- Vectorize(rottenrate, "movie", SIMPLIFY = F)

graph.R

#Create graph
mikebay_usergraph <- 
  ggplot(mikebay_movies_dt, aes(y = tomatoUserMeter, x = Released, label = Title)) +
    geom_point(colour = "#535353", aes(size=BoxOffice + (.35 * mean(BoxOffice)))) +
    geom_point(aes(size = BoxOffice)) + (aes(color = tomatoImage)) + 
    geom_text(hjust = .45, vjust = -.75, family = "SegoeUI", size = 5, colour = "#535353") +
    ylab("Rotten Tomatos User Score") +
    xlab("") +
    ggtitle("Fall of Bayhem: How Micheal Bay movies have declined") +
            theme (plot.title = element_text(size = 15, family = 'SegoeUI-Bold', face = 'bold', colour="#535353")) +
            theme (axis.text.x  = element_text(size = 12.0, family = "SegoeUI" , colour="#535353")) +
            theme (axis.text.y  = element_text(size = 12.0, family = "SegoeUI", colour="#535353")) +
            theme (axis.title.y = element_text(size= 12,colour="#535353",face="bold",vjust=1.5, family = "SegoeUI")) +
            theme (axis.title = element_text(size = 12.5, family = "SegoeUI")) +
            theme (axis.text.x = element_text(size=11,colour="#535353",face="bold", family = "SegoeUI")) +
            theme (axis.text.y = element_text(size=11,colour="#535353",face="bold", family = "SegoeUI")) +
            theme (panel.background = element_rect(fill = '#F0F0F0')) +
            theme (plot.background=element_rect(fill = '#F0F0F0')) +
            theme (panel.grid.major=element_line(colour ="#D0D0D0",size=.75)) +
            theme (axis.ticks = element_blank()) +
            theme (legend.background = element_rect(fill='#F0F0F0')) +
    scale_colour_manual(values = c('#336333', '#B03530'), name = "Fresh or Rotten") +
    geom_hline(yintercept = 0,size = 1.2, colour = "#535353") +
    scale_x_date(limits = c(as.Date("1994-1-1"),as.Date("2017-1-1"))) +
    scale_size_continuous(labels=dollar, name="Box Office (Millions)")

list.R

#Pull movie list and clean it up
mikebay_movies <- html("http://en.wikipedia.org/wiki/Michael_Bay")  %>%
                  html_nodes('#mw-content-text > table:nth-child(44)') %>%
                  html_table(fill = T) %>%
                  as.data.frame %>%
                  slice(-c(1,13)) %>%
                  transmute(Film