Assignment 3: Netflix

Findings

1. Film or movies were added mostly in recent years (2017, 2018, 2019) and when we choose the top 50 genres according to added year, we can see that international movies and the dramas are the ones that produced mostly.

date_added_year	listed_in	kayıt2
2018	International Movies	492804
2019	International Movies	422500
2019	Dramas	369664
2018	Dramas	299209
2019	Comedies	219024
2017	International Movies	207025

ggplot(df_count_listed_in4, aes(x=date_added_year,y=kayıt2/1000, fill = listed_in)) +
  geom_bar(stat="identity",position=position_dodge()) +
  labs(title="Top 50 Genres According to Added Year",x="Added Year",
       y="Count") + theme(legend.position="bottom",plot.title = element_text(hjust = 0.5))

Figure 1: Top 50 Genres According to Added Year

2. When we look at the films or movie produced on Netflix, we can see that United States is the first country according to the number of contents. In addition to this, while producers prefer mostly dramas and comedies in United States, producers in other countries mostly prefer international movies.

country	listed_in	kayıt2
United States	Dramas	3844
United States	Comedies	3136
United States	TV Dramas	2304
United States	Action & Adventure	2025
India	International Movies	1764
United States	Independent Movies	1296

ggplot(df_count_listed_in_country4, aes(x=country,y=kayıt2, fill = listed_in)) +
  geom_bar(stat="identity",position=position_dodge()) +
  labs(title="Top 50 Genres According to Country",x="Country",
       y="Count") + theme(legend.position="bottom",plot.title = element_text(hjust = 0.5)) +coord_flip()

Figure 1: Top 50 Genres According to Added Year

Conclusion

Producers can create movies or TV shows except dramas or movies in United States because there are too many options in there. Also for other countries, producers can produce movies or TV shows except international movies.

References

The references are the ones that I utilize for my work. Medium Post GitHub link