Final Evidence
Jorge Pons - A01424108
2024-04-29
Table of Contents
- Description of Problem
- Introduction
- Objective of the Problem
- Beginning of Data Cleaning
- Statistical Techniques
- Conclusion
- References
Description of Problem
This report will provide an exhaustive analysis of the most successful movies in recent years. It will show facts about why these movies become so successful. In these problem we are going to use a data set that contains information for all 45,000 movies listed in the Full MovieLens Dataset. The dataset consists of movies released on or before July 2017.
Introduction .
In today’s entertainment industry, the search for a winning formula for film has become a multifaceted puzzle for production giants. Amidst the proliferation of content on social media and streaming platforms, traditional indicators of success have undergone a seismic shift, presenting a labyrinthine landscape to navigate. As a Strategy and Insights Analyst tasked with guiding the course of a leading film studio, the mission is crystal clear: uncover the elusive ingredients that distinguish cinematic triumphs from their less prominent counterparts. Armed with a rich tapestry of data housed in the “film analytics” repository, our approach combines cutting-edge analytical techniques with intuitive exploration.
Objective of the Problem .
The objectives that the report inten to resolve are the following:
- Unravel the critical determinants influencing the success or failure of a film.
- Employ advanced data refinement techniques to uphold the accuracy and trustworthiness of the analyzed information.
- Employ a diverse range of analytical methodologies, including scatter plots, box plots, and regression analysis, to gain deeper insights into the underlying trends and dynamics within the dataset.
- Probe the intricate relationships and correlations between various variables to uncover the key drivers of success within the film industry.
- Formulate strategic directives tailored for major film production companies, informed by the revelations and deductions derived from the data analysis.
Beginning of Data Cleaning .
##Import libraries and main dataset
##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union##
## Attaching package: 'lubridate'## The following objects are masked from 'package:base':
##
## date, intersect, setdiff, union##
## Attaching package: 'plotly'## The following object is masked from 'package:ggplot2':
##
## last_plot## The following object is masked from 'package:stats':
##
## filter## The following object is masked from 'package:graphics':
##
## layout## Warning: One or more parsing issues, call `problems()` on your data frame for details,
## e.g.:
## dat <- vroom(...)
## problems(dat)## Rows: 45466 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (14): belongs_to_collection, genres, homepage, imdb_id, original_langua...
## dbl (7): budget, id, popularity, revenue, runtime, vote_average, vote_count
## lgl (2): adult, video
## date (1): release_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.##Revise dataset, check for any inconsistencies
## Rows: 45,466
## Columns: 24
## $ adult <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,…
## $ belongs_to_collection <chr> "{'id': 10194, 'name': 'Toy Story Collection', '…
## $ budget <dbl> 30000000, 65000000, 0, 16000000, 0, 60000000, 58…
## $ genres <chr> "[{'id': 16, 'name': 'Animation'}, {'id': 35, 'n…
## $ homepage <chr> "http://toystory.disney.com/toy-story", NA, NA, …
## $ id <dbl> 862, 8844, 15602, 31357, 11862, 949, 11860, 4532…
## $ imdb_id <chr> "tt0114709", "tt0113497", "tt0113228", "tt011488…
## $ original_language <chr> "en", "en", "en", "en", "en", "en", "en", "en", …
## $ original_title <chr> "Toy Story", "Jumanji", "Grumpier Old Men", "Wai…
## $ overview <chr> "Led by Woody, Andy's toys live happily in his r…
## $ popularity <dbl> 21.946943, 17.015539, 11.712900, 3.859495, 8.387…
## $ poster_path <chr> "/rhIRbceoE9lR4veEXuwCC2wARtG.jpg", "/vzmL6fP7aP…
## $ production_companies <chr> "[{'name': 'Pixar Animation Studios', 'id': 3}]"…
## $ production_countries <chr> "[{'iso_3166_1': 'US', 'name': 'United States of…
## $ release_date <date> 1995-10-30, 1995-12-15, 1995-12-22, 1995-12-22,…
## $ revenue <dbl> 373554033, 262797249, 0, 81452156, 76578911, 187…
## $ runtime <dbl> 81, 104, 101, 127, 106, 170, 127, 97, 106, 130, …
## $ spoken_languages <chr> "[{'iso_639_1': 'en', 'name': 'English'}]", "[{'…
## $ status <chr> "Released", "Released", "Released", "Released", …
## $ tagline <chr> NA, "Roll the dice and unleash the excitement!",…
## $ title <chr> "Toy Story", "Jumanji", "Grumpier Old Men", "Wai…
## $ video <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,…
## $ vote_average <dbl> 7.7, 6.9, 6.5, 6.1, 5.7, 7.7, 6.2, 5.4, 5.5, 6.6…
## $ vote_count <dbl> 5415, 2413, 92, 34, 173, 1886, 141, 45, 174, 119…##Drop irrelevant columns
## # A tibble: 6 × 21
## adult belongs_to_collection budget genres id imdb_id original_language
## <lgl> <chr> <dbl> <chr> <dbl> <chr> <chr>
## 1 FALSE {'id': 10194, 'name': 'To… 3 e7 [{'id… 862 tt0114… en
## 2 FALSE <NA> 6.5e7 [{'id… 8844 tt0113… en
## 3 FALSE {'id': 119050, 'name': 'G… 0 [{'id… 15602 tt0113… en
## 4 FALSE <NA> 1.6e7 [{'id… 31357 tt0114… en
## 5 FALSE {'id': 96871, 'name': 'Fa… 0 [{'id… 11862 tt0113… en
## 6 FALSE <NA> 6 e7 [{'id… 949 tt0113… en
## # ℹ 14 more variables: original_title <chr>, overview <chr>, popularity <dbl>,
## # production_companies <chr>, production_countries <chr>,
## # release_date <date>, revenue <dbl>, runtime <dbl>, spoken_languages <chr>,
## # status <chr>, tagline <chr>, title <chr>, vote_average <dbl>,
## # vote_count <dbl>##Identify and drop duplicates
## [1] 45466## # A tibble: 32 × 21
## adult belongs_to_collection budget genres id imdb_id original_language
## <lgl> <chr> <dbl> <chr> <dbl> <chr> <chr>
## 1 FALSE <NA> 0 [{'id'… 105045 tt0111… de
## 2 FALSE <NA> 0 [{'id'… 5511 tt0062… fr
## 3 FALSE <NA> 0 [{'id'… 23305 tt0295… en
## 4 FALSE <NA> 1600000 [{'id'… 14788 tt0454… en
## 5 FALSE <NA> 0 [{'id'… 141971 tt1180… fi
## 6 FALSE <NA> 4 [{'id'… 22649 tt0022… en
## 7 FALSE <NA> 2500 [{'id'… 13209 tt0499… fa
## 8 FALSE <NA> 0 [{'id'… 141971 tt1180… fi
## 9 FALSE <NA> 40000000 [{'id'… 77221 tt1701… en
## 10 FALSE <NA> 0 [{'id'… 109962 tt0082… en
## # ℹ 22 more rows
## # ℹ 14 more variables: original_title <chr>, overview <chr>, popularity <dbl>,
## # production_companies <chr>, production_countries <chr>,
## # release_date <date>, revenue <dbl>, runtime <dbl>, spoken_languages <chr>,
## # status <chr>, tagline <chr>, title <chr>, vote_average <dbl>,
## # vote_count <dbl>## [1] 45434##Genres Column
## V1 V2 V3
## Length:45434 Length:45434 Length:45434
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character## genre1 genre2 genre3
## Length:45434 Length:45434 Length:45434
## Class :character Class :character Class :character
## Mode :character Mode :character Mode :character## genre1 genre2 genre3
## Drama :11953 :16994 :31465
## Comedy : 8816 Drama : 6302 Thriller : 2234
## Action : 4487 Comedy : 3263 Romance : 2044
## Documentary: 3413 Romance : 2857 Drama : 1675
## Horror : 2619 Thriller: 2523 Comedy : 911
## : 2442 Action : 1546 Science Fiction: 870
## (Other) :11704 (Other) :11949 (Other) : 6235## genre1 n
## 1 Drama 11953
## 2 Comedy 8816
## 3 Action 4487
## 4 Documentary 3413
## 5 Horror 2619
## 6 2442
## 7 Crime 1684
## 8 Thriller 1663
## 9 Adventure 1509
## 10 Romance 1191
## 11 Animation 1124
## 12 Fantasy 703
## 13 Science Fiction 647
## 14 Mystery 554
## 15 Family 524
## 16 Music 487
## 17 Western 451
## 18 TV Movie 390
## 19 War 379
## 20 History 279
## 21 Foreign 118
## 22 11176 name 1## genre2 n
## 1 16994
## 2 Drama 6302
## 3 Comedy 3263
## 4 Romance 2857
## 5 Thriller 2523
## 6 Action 1546
## 7 Crime 1428
## 8 Adventure 1414
## 9 Horror 1398
## 10 Family 1109
## 11 Science Fiction 999
## 12 Mystery 771
## 13 Foreign 768
## 14 Fantasy 764
## 15 Music 741
## 16 History 640
## 17 Animation 618
## 18 Documentary 469
## 19 War 368
## 20 Western 304
## 21 TV Movie 157
## 22 11602 name 1## genre3 n
## 1 31465
## 2 Thriller 2234
## 3 Romance 2044
## 4 Drama 1675
## 5 Comedy 911
## 6 Science Fiction 870
## 7 Crime 852
## 8 Mystery 773
## 9 Family 756
## 10 Fantasy 539
## 11 Horror 513
## 12 Action 451
## 13 Adventure 422
## 14 Foreign 421
## 15 War 388
## 16 History 348
## 17 Music 269
## 18 Animation 171
## 19 Western 168
## 20 TV Movie 125
## 21 Documentary 38
## 22 29812 1## adult
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## belongs_to_collection
## 1 {'id': 10194, 'name': 'Toy Story Collection', 'poster_path': '/7G9915LfUQ2lVfwMEEhDsn3kT4B.jpg', 'backdrop_path': '/9FBwqcd9IRruEDUrTdcaafOMKUq.jpg'}
## 2 <NA>
## 3 {'id': 119050, 'name': 'Grumpy Old Men Collection', 'poster_path': '/nLvUdqgPgm3F85NMCii9gVFUcet.jpg', 'backdrop_path': '/hypTnLot2z8wpFS7qwsQHW1uV8u.jpg'}
## 4 <NA>
## 5 {'id': 96871, 'name': 'Father of the Bride Collection', 'poster_path': '/nts4iOmNnq7GNicycMJ9pSAn204.jpg', 'backdrop_path': '/7qwE57OVZmMJChBpLEbJEmzUydk.jpg'}
## 6 <NA>
## budget
## 1 3.0e+07
## 2 6.5e+07
## 3 0.0e+00
## 4 1.6e+07
## 5 0.0e+00
## 6 6.0e+07
## genres
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## id imdb_id original_language original_title
## 1 862 tt0114709 en Toy Story
## 2 8844 tt0113497 en Jumanji
## 3 15602 tt0113228 en Grumpier Old Men
## 4 31357 tt0114885 en Waiting to Exhale
## 5 11862 tt0113041 en Father of the Bride Part II
## 6 949 tt0113277 en Heat
## overview
## 1 Led by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
## 2 When siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
## 3 A family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
## 4 Cheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
## 5 Just when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.
## 6 Obsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.
## popularity
## 1 21.946943
## 2 17.015539
## 3 11.712900
## 4 3.859495
## 5 8.387519
## 6 17.924927
## production_companies
## 1 [{'name': 'Pixar Animation Studios', 'id': 3}]
## 2 [{'name': 'TriStar Pictures', 'id': 559}, {'name': 'Teitler Film', 'id': 2550}, {'name': 'Interscope Communications', 'id': 10201}]
## 3 [{'name': 'Warner Bros.', 'id': 6194}, {'name': 'Lancaster Gate', 'id': 19464}]
## 4 [{'name': 'Twentieth Century Fox Film Corporation', 'id': 306}]
## 5 [{'name': 'Sandollar Productions', 'id': 5842}, {'name': 'Touchstone Pictures', 'id': 9195}]
## 6 [{'name': 'Regency Enterprises', 'id': 508}, {'name': 'Forward Pass', 'id': 675}, {'name': 'Warner Bros.', 'id': 6194}]
## production_countries release_date
## 1 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-10-30
## 2 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## 3 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 4 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 5 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-02-10
## 6 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## revenue runtime
## 1 373554033 81
## 2 262797249 104
## 3 0 101
## 4 81452156 127
## 5 76578911 106
## 6 187436818 170
## spoken_languages
## 1 [{'iso_639_1': 'en', 'name': 'English'}]
## 2 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'fr', 'name': 'Français'}]
## 3 [{'iso_639_1': 'en', 'name': 'English'}]
## 4 [{'iso_639_1': 'en', 'name': 'English'}]
## 5 [{'iso_639_1': 'en', 'name': 'English'}]
## 6 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'es', 'name': 'Español'}]
## status
## 1 Released
## 2 Released
## 3 Released
## 4 Released
## 5 Released
## 6 Released
## tagline
## 1 <NA>
## 2 Roll the dice and unleash the excitement!
## 3 Still Yelling. Still Fighting. Still Ready for Love.
## 4 Friends are the people who let you be yourself... and never let you forget it.
## 5 Just When His World Is Back To Normal... He's In For The Surprise Of His Life!
## 6 A Los Angeles Crime Saga
## title vote_average vote_count
## 1 Toy Story 7.7 5415
## 2 Jumanji 6.9 2413
## 3 Grumpier Old Men 6.5 92
## 4 Waiting to Exhale 6.1 34
## 5 Father of the Bride Part II 5.7 173
## 6 Heat 7.7 1886
## genres_string
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## genre1 genre2 genre3
## 1 Animation Comedy Family
## 2 Adventure Fantasy Family
## 3 Romance Comedy
## 4 Comedy Drama Romance
## 5 Comedy
## 6 Action Crime Drama##Production Companies Column
## adult
## 1 FALSE
## 2 FALSE
## 3 FALSE
## 4 FALSE
## 5 FALSE
## 6 FALSE
## belongs_to_collection
## 1 {'id': 10194, 'name': 'Toy Story Collection', 'poster_path': '/7G9915LfUQ2lVfwMEEhDsn3kT4B.jpg', 'backdrop_path': '/9FBwqcd9IRruEDUrTdcaafOMKUq.jpg'}
## 2 <NA>
## 3 {'id': 119050, 'name': 'Grumpy Old Men Collection', 'poster_path': '/nLvUdqgPgm3F85NMCii9gVFUcet.jpg', 'backdrop_path': '/hypTnLot2z8wpFS7qwsQHW1uV8u.jpg'}
## 4 <NA>
## 5 {'id': 96871, 'name': 'Father of the Bride Collection', 'poster_path': '/nts4iOmNnq7GNicycMJ9pSAn204.jpg', 'backdrop_path': '/7qwE57OVZmMJChBpLEbJEmzUydk.jpg'}
## 6 <NA>
## budget
## 1 3.0e+07
## 2 6.5e+07
## 3 0.0e+00
## 4 1.6e+07
## 5 0.0e+00
## 6 6.0e+07
## genres
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## id imdb_id original_language original_title
## 1 862 tt0114709 en Toy Story
## 2 8844 tt0113497 en Jumanji
## 3 15602 tt0113228 en Grumpier Old Men
## 4 31357 tt0114885 en Waiting to Exhale
## 5 11862 tt0113041 en Father of the Bride Part II
## 6 949 tt0113277 en Heat
## overview
## 1 Led by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
## 2 When siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
## 3 A family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
## 4 Cheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
## 5 Just when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.
## 6 Obsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.
## popularity
## 1 21.946943
## 2 17.015539
## 3 11.712900
## 4 3.859495
## 5 8.387519
## 6 17.924927
## production_companies
## 1 [{'name': 'Pixar Animation Studios', 'id': 3}]
## 2 [{'name': 'TriStar Pictures', 'id': 559}, {'name': 'Teitler Film', 'id': 2550}, {'name': 'Interscope Communications', 'id': 10201}]
## 3 [{'name': 'Warner Bros.', 'id': 6194}, {'name': 'Lancaster Gate', 'id': 19464}]
## 4 [{'name': 'Twentieth Century Fox Film Corporation', 'id': 306}]
## 5 [{'name': 'Sandollar Productions', 'id': 5842}, {'name': 'Touchstone Pictures', 'id': 9195}]
## 6 [{'name': 'Regency Enterprises', 'id': 508}, {'name': 'Forward Pass', 'id': 675}, {'name': 'Warner Bros.', 'id': 6194}]
## production_countries release_date
## 1 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-10-30
## 2 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## 3 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 4 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 5 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-02-10
## 6 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## revenue runtime
## 1 373554033 81
## 2 262797249 104
## 3 0 101
## 4 81452156 127
## 5 76578911 106
## 6 187436818 170
## spoken_languages
## 1 [{'iso_639_1': 'en', 'name': 'English'}]
## 2 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'fr', 'name': 'Français'}]
## 3 [{'iso_639_1': 'en', 'name': 'English'}]
## 4 [{'iso_639_1': 'en', 'name': 'English'}]
## 5 [{'iso_639_1': 'en', 'name': 'English'}]
## 6 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'es', 'name': 'Español'}]
## status
## 1 Released
## 2 Released
## 3 Released
## 4 Released
## 5 Released
## 6 Released
## tagline
## 1 <NA>
## 2 Roll the dice and unleash the excitement!
## 3 Still Yelling. Still Fighting. Still Ready for Love.
## 4 Friends are the people who let you be yourself... and never let you forget it.
## 5 Just When His World Is Back To Normal... He's In For The Surprise Of His Life!
## 6 A Los Angeles Crime Saga
## title vote_average vote_count
## 1 Toy Story 7.7 5415
## 2 Jumanji 6.9 2413
## 3 Grumpier Old Men 6.5 92
## 4 Waiting to Exhale 6.1 34
## 5 Father of the Bride Part II 5.7 173
## 6 Heat 7.7 1886
## genres_string
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## genre1 genre2 genre3 number_of_companies
## 1 Animation Comedy Family 1
## 2 Adventure Fantasy Family 3
## 3 Romance Comedy 2
## 4 Comedy Drama Romance 1
## 5 Comedy 2
## 6 Action Crime Drama 3##Identify nulls
## adult belongs_to_collection budget
## 1 40945 1
## genres id imdb_id
## 0 1 17
## original_language original_title overview
## 11 0 959
## popularity production_companies production_countries
## 4 3 3
## release_date revenue runtime
## 88 4 261
## spoken_languages status tagline
## 4 85 25034
## title vote_average vote_count
## 4 4 4
## genres_string genre1 genre2
## 0 0 0
## genre3 number_of_companies
## 0 3##Belongs to collection and Tagline column
##Languages column(s)
## adult franchise budget
## 1 FALSE 1 3.0e+07
## 2 FALSE 0 6.5e+07
## 3 FALSE 1 0.0e+00
## 4 FALSE 0 1.6e+07
## 5 FALSE 1 0.0e+00
## 6 FALSE 0 6.0e+07
## genres
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## id imdb_id original_language original_title
## 1 862 tt0114709 en Toy Story
## 2 8844 tt0113497 en Jumanji
## 3 15602 tt0113228 en Grumpier Old Men
## 4 31357 tt0114885 en Waiting to Exhale
## 5 11862 tt0113041 en Father of the Bride Part II
## 6 949 tt0113277 en Heat
## overview
## 1 Led by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
## 2 When siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
## 3 A family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
## 4 Cheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
## 5 Just when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.
## 6 Obsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.
## popularity
## 1 21.946943
## 2 17.015539
## 3 11.712900
## 4 3.859495
## 5 8.387519
## 6 17.924927
## production_companies
## 1 [{'name': 'Pixar Animation Studios', 'id': 3}]
## 2 [{'name': 'TriStar Pictures', 'id': 559}, {'name': 'Teitler Film', 'id': 2550}, {'name': 'Interscope Communications', 'id': 10201}]
## 3 [{'name': 'Warner Bros.', 'id': 6194}, {'name': 'Lancaster Gate', 'id': 19464}]
## 4 [{'name': 'Twentieth Century Fox Film Corporation', 'id': 306}]
## 5 [{'name': 'Sandollar Productions', 'id': 5842}, {'name': 'Touchstone Pictures', 'id': 9195}]
## 6 [{'name': 'Regency Enterprises', 'id': 508}, {'name': 'Forward Pass', 'id': 675}, {'name': 'Warner Bros.', 'id': 6194}]
## production_countries release_date
## 1 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-10-30
## 2 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## 3 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 4 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 5 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-02-10
## 6 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## revenue runtime
## 1 373554033 81
## 2 262797249 104
## 3 0 101
## 4 81452156 127
## 5 76578911 106
## 6 187436818 170
## spoken_languages
## 1 [{'iso_639_1': 'en', 'name': 'English'}]
## 2 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'fr', 'name': 'Français'}]
## 3 [{'iso_639_1': 'en', 'name': 'English'}]
## 4 [{'iso_639_1': 'en', 'name': 'English'}]
## 5 [{'iso_639_1': 'en', 'name': 'English'}]
## 6 [{'iso_639_1': 'en', 'name': 'English'}, {'iso_639_1': 'es', 'name': 'Español'}]
## status tagline title vote_average vote_count
## 1 Released 0 Toy Story 7.7 5415
## 2 Released 1 Jumanji 6.9 2413
## 3 Released 1 Grumpier Old Men 6.5 92
## 4 Released 1 Waiting to Exhale 6.1 34
## 5 Released 1 Father of the Bride Part II 5.7 173
## 6 Released 1 Heat 7.7 1886
## genres_string
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## genre1 genre2 genre3 number_of_companies spoken_languages_count
## 1 Animation Comedy Family 1 1
## 2 Adventure Fantasy Family 3 2
## 3 Romance Comedy 2 1
## 4 Comedy Drama Romance 1 1
## 5 Comedy 2 1
## 6 Action Crime Drama 3 2
## og_language
## 1 English
## 2 English
## 3 English
## 4 English
## 5 English
## 6 English##Remove repeated columns
## adult franchise budget id imdb_id original_title
## 1 FALSE 1 3.0e+07 862 tt0114709 Toy Story
## 2 FALSE 0 6.5e+07 8844 tt0113497 Jumanji
## 3 FALSE 1 0.0e+00 15602 tt0113228 Grumpier Old Men
## 4 FALSE 0 1.6e+07 31357 tt0114885 Waiting to Exhale
## 5 FALSE 1 0.0e+00 11862 tt0113041 Father of the Bride Part II
## 6 FALSE 0 6.0e+07 949 tt0113277 Heat
## overview
## 1 Led by Woody, Andy's toys live happily in his room until Andy's birthday brings Buzz Lightyear onto the scene. Afraid of losing his place in Andy's heart, Woody plots against Buzz. But when circumstances separate Buzz and Woody from their owner, the duo eventually learns to put aside their differences.
## 2 When siblings Judy and Peter discover an enchanted board game that opens the door to a magical world, they unwittingly invite Alan -- an adult who's been trapped inside the game for 26 years -- into their living room. Alan's only hope for freedom is to finish the game, which proves risky as all three find themselves running from giant rhinoceroses, evil monkeys and other terrifying creatures.
## 3 A family wedding reignites the ancient feud between next-door neighbors and fishing buddies John and Max. Meanwhile, a sultry Italian divorcée opens a restaurant at the local bait shop, alarming the locals who worry she'll scare the fish away. But she's less interested in seafood than she is in cooking up a hot time with Max.
## 4 Cheated on, mistreated and stepped on, the women are holding their breath, waiting for the elusive "good man" to break a string of less-than-stellar lovers. Friends and confidants Vannah, Bernie, Glo and Robin talk it all out, determined to find a better way to breathe.
## 5 Just when George Banks has recovered from his daughter's wedding, he receives the news that she's pregnant ... and that George's wife, Nina, is expecting too. He was planning on selling their home, but that's a plan that -- like George -- will have to change with the arrival of both a grandchild and a kid of his own.
## 6 Obsessive master thief, Neil McCauley leads a top-notch crew on various insane heists throughout Los Angeles while a mentally unstable detective, Vincent Hanna pursues him without rest. Each man recognizes and respects the ability and the dedication of the other even though they are aware their cat-and-mouse game may end in violence.
## popularity
## 1 21.946943
## 2 17.015539
## 3 11.712900
## 4 3.859495
## 5 8.387519
## 6 17.924927
## production_companies
## 1 [{'name': 'Pixar Animation Studios', 'id': 3}]
## 2 [{'name': 'TriStar Pictures', 'id': 559}, {'name': 'Teitler Film', 'id': 2550}, {'name': 'Interscope Communications', 'id': 10201}]
## 3 [{'name': 'Warner Bros.', 'id': 6194}, {'name': 'Lancaster Gate', 'id': 19464}]
## 4 [{'name': 'Twentieth Century Fox Film Corporation', 'id': 306}]
## 5 [{'name': 'Sandollar Productions', 'id': 5842}, {'name': 'Touchstone Pictures', 'id': 9195}]
## 6 [{'name': 'Regency Enterprises', 'id': 508}, {'name': 'Forward Pass', 'id': 675}, {'name': 'Warner Bros.', 'id': 6194}]
## production_countries release_date
## 1 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-10-30
## 2 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## 3 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 4 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-22
## 5 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-02-10
## 6 [{'iso_3166_1': 'US', 'name': 'United States of America'}] 1995-12-15
## revenue runtime status tagline title vote_average
## 1 373554033 81 Released 0 Toy Story 7.7
## 2 262797249 104 Released 1 Jumanji 6.9
## 3 0 101 Released 1 Grumpier Old Men 6.5
## 4 81452156 127 Released 1 Waiting to Exhale 6.1
## 5 76578911 106 Released 1 Father of the Bride Part II 5.7
## 6 187436818 170 Released 1 Heat 7.7
## vote_count
## 1 5415
## 2 2413
## 3 92
## 4 34
## 5 173
## 6 1886
## genres_string
## 1 [{'id': 16, 'name': 'Animation'}, {'id': 35, 'name': 'Comedy'}, {'id': 10751, 'name': 'Family'}]
## 2 [{'id': 12, 'name': 'Adventure'}, {'id': 14, 'name': 'Fantasy'}, {'id': 10751, 'name': 'Family'}]
## 3 [{'id': 10749, 'name': 'Romance'}, {'id': 35, 'name': 'Comedy'}]
## 4 [{'id': 35, 'name': 'Comedy'}, {'id': 18, 'name': 'Drama'}, {'id': 10749, 'name': 'Romance'}]
## 5 [{'id': 35, 'name': 'Comedy'}]
## 6 [{'id': 28, 'name': 'Action'}, {'id': 80, 'name': 'Crime'}, {'id': 18, 'name': 'Drama'}, {'id': 53, 'name': 'Thriller'}]
## genre1 genre2 genre3 number_of_companies spoken_languages_count
## 1 Animation Comedy Family 1 1
## 2 Adventure Fantasy Family 3 2
## 3 Romance Comedy 2 1
## 4 Comedy Drama Romance 1 1
## 5 Comedy 2 1
## 6 Action Crime Drama 3 2
## og_language
## 1 English
## 2 English
## 3 English
## 4 English
## 5 English
## 6 English##Categorical Data
## status n
## 1 Canceled 2
## 2 In Production 20
## 3 Planned 15
## 4 Post Production 98
## 5 Released 44985
## 6 Rumored 229
## 7 <NA> 85## status_collapsed n
## 1 In Progress 133
## 2 Released 44985
## 3 Unreleased 231
## 4 <NA> 85#Credits Dataset
## Warning: One or more parsing issues, call `problems()` on your data frame for details,
## e.g.:
## dat <- vroom(...)
## problems(dat)## Rows: 45466 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (14): belongs_to_collection, genres, homepage, imdb_id, original_langua...
## dbl (7): budget, id, popularity, revenue, runtime, vote_average, vote_count
## lgl (2): adult, video
## date (1): release_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.#Ratings Dataset
## Warning: One or more parsing issues, call `problems()` on your data frame for details,
## e.g.:
## dat <- vroom(...)
## problems(dat)## Rows: 45466 Columns: 24
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (14): belongs_to_collection, genres, homepage, imdb_id, original_langua...
## dbl (7): budget, id, popularity, revenue, runtime, vote_average, vote_count
## lgl (2): adult, video
## date (1): release_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.#Merge
#Esquisse
Statistical Techniques .
##Vote Average Histogram
## Warning: Removed 4 rows containing non-finite outside the scale range
## (`stat_bin()`).## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_bar()`).
##Runtime Histogram
## Warning: Removed 261 rows containing non-finite outside the scale range
## (`stat_density()`).
##Release Date Density
## Warning: Removed 88 rows containing non-finite outside the scale range
## (`stat_bin()`).
##Genre 1 Bar Graph
##Budget Distribution
## Warning: Removed 1 row containing non-finite outside the scale range
## (`stat_bin()`).
##OG Language Bar Graph
## Loading required package: RColorBrewer
##Stats MOVIES5
## [1] 4520608## [1] 3.267197e+14## [1] 18075390## [1] 0## [1] 0## [1] 3.8e+08## [1] 0.0e+00 3.8e+08## [1] 6.856643## [1] 3.998442## [1] 363612.3
##Runtime and popularity analysis
## `geom_smooth()` using formula = 'y ~ x'
## N r
## 1 42006 0.5061554## [1] 18075390Conclusions .
We can conclude that the most successful films tend to focus on themes that resonate with the human experience, such as everyday life, family relationships and love. In addition, it is crucial to recognize that the use of elements related to youth and friendship tends to attract a younger audience to these productions. The inclusion of more serious subject matter, such as war and the exploration of the female experience, also demonstrates the importance of addressing the diversity of genres and perspectives in filmmaking.
You can find the original data base in the next link : https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset
References .
Banik, R. (2017). The Movies Dataset. Kaggle.com. https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset
---
title: "Final Evidence"
author: "Jorge Pons - A01424108"
date: "2024-04-29"
output:
 html_document: 
    toc: TRUE
    toc_float: TRUE
    code_download: TRUE
    theme: cosmo
---
```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = FALSE)
```
![](/Users/jorpons/Desktop/PHOTO-2024-05-03-14-46-23.jpg)

# <span style = "color: Red;">Table of Contents</span> 
1. Description of Problem
2. Introduction
3. Objective of the Problem
4. Beginning of Data Cleaning
5. Statistical Techniques
6. Conclusion
7. References

# <span style = "color: Green;"> Description of Problem </span> 
This report will provide an exhaustive analysis of the most successful movies in recent years. It will show facts about why these movies become so successful. In these problem we are going to use a data set that contains  information for all 45,000 movies listed in the Full MovieLens Dataset. The dataset consists of movies released on or before July 2017. 

# <span style = "color: Blue;"> Introduction </span>. 
In today's entertainment industry, the search for a winning formula for film has become a multifaceted puzzle for production giants. Amidst the proliferation of content on social media and streaming platforms, traditional indicators of success have undergone a seismic shift, presenting a labyrinthine landscape to navigate. As a Strategy and Insights Analyst tasked with guiding the course of a leading film studio, the mission is crystal clear: uncover the elusive ingredients that distinguish cinematic triumphs from their less prominent counterparts. Armed with a rich tapestry of data housed in the "film analytics" repository, our approach combines cutting-edge analytical techniques with intuitive exploration.

# <span style = "color: Blue;"> Objective of the Problem </span>. 

The objectives that the report inten to resolve are the following:

- Unravel the critical determinants influencing the success or failure of a film.
- Employ advanced data refinement techniques to uphold the accuracy and trustworthiness of the analyzed information.
- Employ a diverse range of analytical methodologies, including scatter plots, box plots, and regression analysis, to gain deeper insights into the underlying trends and dynamics within the dataset.
- Probe the intricate relationships and correlations between various variables to uncover the key drivers of success within the film industry.
- Formulate strategic directives tailored for major film production companies, informed by the revelations and deductions derived from the data analysis.  

# <span style = "color: Blue;"> Beginning of Data Cleaning </span>. 
##**Import libraries and main dataset**
```{r}
#ALWAYS packages/libraries needed first
library(dplyr) #for data manipulation
library(stringr) #for strings
library(ggplot2) #visualization
library(lubridate) #for dates
library(readxl) #to import and export .xlsx files
library(forcats)
library(plotly)
```


```{r}
library(readr)
movies <- read_csv("/Users/jorpons/Desktop/movies_metadata.csv")
```

##**Revise dataset, check for any inconsistencies**
```{r}
#make a copy of the dataset :)
all_movies <- movies %>%
  glimpse()
```

##**Drop irrelevant columns**
```{r}
#as consulted we dropped video, homepage, and poster path, towards the end we dropped additional repeated columns
all_movies <- all_movies %>%
  select(-video, -homepage, -poster_path)

head(all_movies)
```

##**Identify and drop duplicates**
```{r}
#original number of rows is 45466, after dropping id duplicates we had 45434, we didn't use the title for this code because some movies may be different but with a coinciding title :D
nrow(all_movies)
```
```{r}
duplicate_rows <- all_movies[duplicated(all_movies$id), ]
```
```{r}
print(duplicate_rows)
```
```{r}
all_movies <- subset(all_movies, !duplicated(id))
```
```{r}
nrow(all_movies)
```

##**Genres Column**
```{r}
all_movies$genres_string <- as.character(all_movies$genres)
```
```{r}
new_genres <- str_split_fixed(all_movies$genres_string, ":", n = Inf)
```
```{r}
new_genres <- new_genres[,1:7]
```
```{r}
new_genres <- new_genres[, c(3,5,7)]
```
```{r}
summary(new_genres)
```
```{r}
new_genres <- as.data.frame(new_genres)
```
```{r}
new_genres <- new_genres %>% 
  mutate(genre1 = str_replace_all(new_genres$V1, "[[:punct:]]", " "))
```
```{r}
new_genres <- new_genres %>% 
  mutate(genre2 = str_replace_all(new_genres$V2, "[[:punct:]]", " "))
```
```{r}
new_genres <- new_genres %>% 
  mutate(genre3 = str_replace_all(new_genres$V3, "[[:punct:]]", " "))
```
```{r}
new_genres$genre1 <- str_remove(new_genres$genre1,"id")
new_genres$genre2 <- str_remove(new_genres$genre2,"id")
new_genres$genre3 <- str_remove(new_genres$genre3,"id")
```
```{r}
genres_clean <- new_genres[,4:6]
```
```{r}
summary(genres_clean)
```
```{r}
genres_clean$genre1 <- str_trim(genres_clean$genre1, "right")
genres_clean$genre2 <- str_trim(genres_clean$genre2, "right")
genres_clean$genre3 <- str_trim(genres_clean$genre3, "right")
```
```{r}
genres_clean$genre1 <- as.factor(genres_clean$genre1)
genres_clean$genre2 <- as.factor(genres_clean$genre2)
genres_clean$genre3 <- as.factor(genres_clean$genre3)
```
```{r}
summary(genres_clean)
```
```{r}
all_movies <- cbind(all_movies, genres_clean)
```
```{r}
all_movies %>% 
  count(genre1, sort= TRUE)
```
```{r}
all_movies %>% 
  count(genre2, sort= TRUE)
```
```{r}
all_movies %>% 
  count(genre3, sort= TRUE)
```
```{r}
head(all_movies)
```

##**Production Companies Column**
```{r}
#The max was 26, so we decided to create a column with the count instead of splitting it like the genres column

all_movies$number_of_companies <- sapply(all_movies$production_companies, function(x) {
  str_count(x, "\\{") # Counting the number of '{' characters to get the number of values
})

head(all_movies)
```

##**Identify nulls**
```{r}
missing_counts <- colSums(is.na(all_movies))

print(missing_counts)
```

##**Belongs to collection and Tagline column**
```{r}
#here we made the 'belongs to collection' into boolean//logical, as well as the tagline column, later we will fix the labeling

all_movies$belongs_to_collection <- ifelse(is.na(all_movies$belongs_to_collection), 0, 1)
all_movies <- all_movies %>%
  rename(franchise = belongs_to_collection)

all_movies$tagline <- ifelse(is.na(all_movies$tagline), 0, 1)
```

##**Languages column(s)**
```{r}
#we made a column with the count of spoken languages for each movie

all_movies <- all_movies %>%
  mutate(spoken_languages_count = str_count(spoken_languages, "'iso_639_1':"))
```

```{r}
#Here we replaced every language abbreviation with the complete language

all_movies <- all_movies %>%
  mutate(og_language = case_when (
    original_language == "en" ~ "English",
     original_language == "fr" ~ "French", original_language == "zh" ~ "Chinese", original_language == "it" ~ "Italian", original_language == "nl" ~ "Dutch", original_language == "de" ~ "German", original_language == "cn" ~ "Mandarin Chinese", original_language == "es" ~ "Spanish", original_language == "ru" ~ "Russian", original_language == "sv" ~ "Swedish", original_language == "ja" ~ "Japanese", original_language == "ko" ~ "Korean", original_language == "sr" ~ "Serbian", original_language == "bn" ~ "Bengali", original_language == "pt" ~ "Portuguese", original_language == "wo" ~ "Wolof", original_language == "ro" ~ "Romanian", original_language == "hu" ~ "Hungarian", original_language == "cs" ~ "Czech"))

head(all_movies)
```

##**Remove repeated columns**
```{r}
#here we removed every adjusted column ^
all_movies <- all_movies %>%
  select(-genres, -spoken_languages, -original_language)
```
```{r}
head(all_movies)
```

##**Categorical Data**
```{r}
#in this section we decided to regroup the status data

all_movies %>%
  count(status)
```
```{r}
in_progress <- c("In Production", "Planned", "Post Production")
not_released <- c("Canceled", "Rumored")

all_movies %>%
  mutate(status_collapsed = case_when(
    status %in% in_progress ~ "In Progress",
    status %in% not_released ~ "Unreleased",
    TRUE ~ as.character(status)
  )) %>%
  count(status_collapsed)
```

#**Credits Dataset**
```{r}
library(readr)
credits <- read_csv("/Users/jorpons/Desktop/movies_metadata.csv")
```

#**Ratings Dataset**
```{r}
library(readr)
ratings <- read_csv("/Users/jorpons/Desktop/movies_metadata.csv")
```

#**Merge**
```{r}
# inner join
inner_merge<- merge(all_movies, credits)

# full join
full_merge <- merge(all_movies, credits)

# left join
left_merge <- merge(all_movies, credits, all.x = TRUE)

# right join
right_merge <- merge(all_movies, credits, all.y = TRUE)
```

#**Esquisse**
```{r}
library(esquisse)
```

# <span style = "color: Blue;"> Statistical Techniques </span>. 
##**Vote Average Histogram**
```{r}
ggplot(all_movies) +
  aes(x = vote_average) +
  geom_histogram(bins = 15L, fill = "#FF69B4", color = "black") +
  labs(title = "Distribution of Voting Average") +
  theme_minimal() +
  xlim(0, 10)
```

##**Runtime Histogram**
```{r}
ggplot(all_movies, aes(x = runtime)) +
  geom_density(fill = "orange", alpha = 0.7) +
  labs(title = "Distribution of Movie Runtimes",
       x = "Runtime (minutes)",
       y = "Density") + theme_minimal()
```
##**Release Date Density**
```{r}
# Convert release date to appropriate format
all_movies$release_date <- as.Date(all_movies$release_date)

# Create a line plot to show movie release trend over time
ggplot(all_movies, aes(x = release_date)) +
  geom_freqpoly(binwidth = 365, color = "#D596EB") +
  labs(title = "Movie Release Trend Over Time",
       x = "Release Date",
       y = "Number of Movies") +
  theme_minimal()
```
##**Genre 1 Bar Graph**
```{r}
ggplot(all_movies) +
  aes(x = genre1) +
  geom_bar(fill = "#6895E6") +
  labs(title = "Movie count by genre") +
  theme_minimal()
```

##**Budget Distribution**
```{r}
ggplot(all_movies, aes(x = budget)) +
  geom_histogram(binwidth = 10000000, fill = "skyblue", color = "black") +
  labs(title = "Distribution of Movie Budgets",
       x = "Budget",
       y = "Frequency") +
  scale_x_continuous(labels = scales::dollar_format(prefix = "$")) +
  theme_minimal()

```

##**OG Language Bar Graph**
```{r}
cleaned_all_movies <- all_movies %>%
  mutate(og_language = ifelse(is.na(og_language), "unspecific", og_language))
```
```{r}
language_counts <- cleaned_all_movies %>%
  group_by(og_language) %>%
  summarise(count = n())
```
```{r}
ggplot(data = language_counts, mapping = aes(x = og_language, y = count, fill = og_language)) +
  geom_col() +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
  scale_fill_discrete(name = "Original Language")
```
```{r}
library(wordcloud)
```
```{r}
wordcloud(words = language_counts$og_language, freq = language_counts$count, min.freq = 5, 
          max.words=100, random.order=FALSE, rot.per=0.35, colors=brewer.pal(8, "Dark2"))
```


##**Stats MOVIES5**
```{r}
all_movies_clean <- na.omit(all_movies)
```
```{r}
library(e1071)
```
```{r}
mean(all_movies_clean$budget)
var(all_movies_clean$budget)
sd(all_movies_clean$budget)
median(all_movies_clean$budget)
min(all_movies_clean$budget)
max(all_movies_clean$budget)
range(all_movies_clean$budget)
skewness(all_movies_clean$budget)
```
```{r}
CV <- sd(all_movies_clean$budget)/mean(all_movies_clean$budget)
CV
```
```{r}
#trimmed mean
mean(all_movies_clean$budget, trim = .1)
```

```{r}
ggplot(all_movies_clean, aes(x = genre1, y = budget)) +
  geom_boxplot() +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))
```
##**Runtime and popularity analysis**
```{r}
ggplot(all_movies_clean, aes(x = runtime, y = popularity)) +
  geom_point() +
  geom_smooth(method = "lm", se = FALSE) +
  theme_minimal()
```
```{r}
ggplot(all_movies_clean,aes(x = cut(runtime, breaks = 10), y = popularity)) +
  geom_boxplot()
```
```{r}
#used this function to analyze different columns and their correlations, for final evidence we will select the highest correlations
all_movies_clean %>%
  summarize(N = n(), r = cor(popularity, revenue))
```
```{r}
#Extra: Crear una función personalizada para encontrar la desviación estándar
encontrar_desviacion_estandar <- function(x) {
    sqrt(sum((x - mean(x))^2) / (length(x) - 1))
}

# Calcular la desviación estándar de la columna "budget"
desviacion_personalizada <- encontrar_desviacion_estandar(all_movies_clean$budget)
print(desviacion_personalizada)
```

# <span style = "color: Blue;"> Conclusions </span>.   
We can conclude that the most successful films tend to focus on themes that resonate with the human experience, such as everyday life, family relationships and love. In addition, it is crucial to recognize that the use of elements related to youth and friendship tends to attract a younger audience to these productions. The inclusion of more serious subject matter, such as war and the exploration of the female experience, also demonstrates the importance of addressing the diversity of genres and perspectives in filmmaking.

You can find the original data base in the next link :
https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset


# <span style = "color: Blue;"> References </span>.   
Banik, R. (2017). The Movies Dataset. Kaggle.com. https://www.kaggle.com/datasets/rounakbanik/the-movies-dataset

