TyT2019W17 - Is There a Relation?

By Johanie Fournier, agr. in rstats tidyverse tidytuesday

April 23, 2019

Get the data

tidy_anime <- readr::read_csv("https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2019/2019-04-23/tidy_anime.csv")
## Rows: 77911 Columns: 28
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr  (17): name, title_english, title_japanese, title_synonyms, type, source...
## dbl   (8): animeID, episodes, score, scored_by, rank, popularity, members, f...
## lgl   (1): airing
## date  (2): start_date, end_date
## 
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.

Explore the data

summary(tidy_anime)
##     animeID          name           title_english      title_japanese    
##  Min.   :    1   Length:77911       Length:77911       Length:77911      
##  1st Qu.: 3052   Class :character   Class :character   Class :character  
##  Median :13667   Mode  :character   Mode  :character   Mode  :character  
##  Mean   :16863                                                           
##  3rd Qu.:31452                                                           
##  Max.   :39197                                                           
##                                                                          
##  title_synonyms         type              source           producers        
##  Length:77911       Length:77911       Length:77911       Length:77911      
##  Class :character   Class :character   Class :character   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##                                                                             
##                                                                             
##                                                                             
##                                                                             
##     genre              studio             episodes         status         
##  Length:77911       Length:77911       Min.   :   1.0   Length:77911      
##  Class :character   Class :character   1st Qu.:   1.0   Class :character  
##  Mode  :character   Mode  :character   Median :  12.0   Mode  :character  
##                                        Mean   :  15.8                     
##                                        3rd Qu.:  13.0                     
##                                        Max.   :3057.0                     
##                                        NA's   :987                        
##    airing          start_date            end_date            duration        
##  Mode :logical   Min.   :1917-01-01   Min.   :1962-02-02   Length:77911      
##  FALSE:76528     1st Qu.:2002-09-01   1st Qu.:2005-06-02   Class :character  
##  TRUE :1383      Median :2011-01-22   Median :2012-06-02   Mode  :character  
##                  Mean   :2007-03-14   Mean   :2009-03-29                     
##                  3rd Qu.:2015-09-18   3rd Qu.:2016-03-02                     
##                  Max.   :2019-02-03   Max.   :2019-09-02                     
##                  NA's   :238          NA's   :33824                          
##     rating              score          scored_by            rank      
##  Length:77911       Min.   : 1.000   Min.   :      0   Min.   :    1  
##  Class :character   1st Qu.: 6.360   1st Qu.:    597   1st Qu.: 1530  
##  Mode  :character   Median : 7.020   Median :   7130   Median : 3685  
##                     Mean   : 6.894   Mean   :  43495   Mean   : 4557  
##                     3rd Qu.: 7.550   3rd Qu.:  39876   3rd Qu.: 6724  
##                     Max.   :10.000   Max.   :1107955   Max.   :13838  
##                     NA's   :174                                       
##    popularity       members          favorites        synopsis        
##  Min.   :    1   Min.   :      6   Min.   :     0   Length:77911      
##  1st Qu.: 1064   1st Qu.:   1968   1st Qu.:     2   Class :character  
##  Median : 3033   Median :  18214   Median :    40   Mode  :character  
##  Mean   : 4567   Mean   :  85051   Mean   :  1468                     
##  3rd Qu.: 7394   3rd Qu.:  88560   3rd Qu.:   413                     
##  Max.   :15474   Max.   :1610561   Max.   :120331                     
##                                                                       
##   background         premiered          broadcast           related         
##  Length:77911       Length:77911       Length:77911       Length:77911      
##  Class :character   Class :character   Class :character   Class :character  
##  Mode  :character   Mode  :character   Mode  :character   Mode  :character  
##                                                                             
##                                                                             
##                                                                             
## 

Prepare the data

data<-tidy_anime%>%
  select(name, start_date, score, rating, popularity)%>%
  filter(!is.na(start_date) & !is.na(score))%>%
  filter(!rating=="None")%>%
  distinct()

Visualize the data

#Graphique
gg<-ggplot(data=data, aes(x=popularity, y=score))
gg<-gg + geom_point(size=2, color=alpha("#80FF72", 0.1))
gg<-gg + geom_smooth(size=2.5, color="#E8EBE4")
#ajuster les axes 
#gg<-gg + scale_y_continuous(breaks=seq(1,7,1), limits = c(1, 7))
gg<-gg + scale_x_continuous(breaks=seq(0, 18000, 2000),limits = c(0, 16000))
#gg<-gg + expand_limits(x =c(-2,16))
#modifier la légende
gg<-gg + theme(legend.position="none")
#modifier le thème
gg<-gg +theme(panel.border = element_blank(),
              panel.background = element_rect(fill = "#292E1E", colour = "#292E1E"),
              plot.background = element_rect(fill = "#292E1E", colour = "#292E1E"),
              panel.grid.major.y= element_blank(),
              panel.grid.major.x= element_blank(),
              panel.grid.minor = element_blank(),
              axis.line = element_line(size=1, color="#E8EBE4", linetype="solid"),
              axis.ticks= element_line(size=0.5, color="#E8EBE4", linetype="solid"))
#ajouter les titres
gg<-gg + labs(title="Is there a relation between popularity and score of anime and magna?",
              subtitle="It seems that the more popular the anime is, that is to say the more people who have them in their\npersonal lists, the more the score decreases.",
              y="Score", 
              x="Popularity")
gg<-gg + theme(plot.title    = element_text(hjust=0,size=20, color="#E8EBE4"),
               plot.subtitle = element_text(hjust=0,size=14, color="#E8EBE4"),
               axis.title.y  = element_text(hjust=1, size=12, color="#E8EBE4"),
               axis.title.x  = element_text(hjust=0, size=12, color="#E8EBE4"),
               axis.text.y   = element_text(hjust=0.5, size=10, color="#E8EBE4"), 
               axis.text.x   = element_text(hjust=0.5, size=10, color="#E8EBE4"))
Posted on:
April 23, 2019
Length:
3 minute read, 593 words
Categories:
rstats tidyverse tidytuesday
Tags:
rstats tidyverse tidytuesday
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