data dive week-3.Rmd
2024-02-05
data <- read.csv ("C:\\Users\\91630\\OneDrive\\Desktop\\statistics\\age_gaps.CSV")Reading and Inspecting the “age_gaps.CSV” Data
age_gaps_df <- read.csv("age_gaps.CSV")
str(age_gaps_df)## 'data.frame': 1155 obs. of 13 variables:
## $ movie_name : chr "Harold and Maude" "Venus" "The Quiet American" "The Big Lebowski" ...
## $ release_year : int 1971 2006 2002 1998 2010 1992 2009 1999 1992 1999 ...
## $ director : chr "Hal Ashby" "Roger Michell" "Phillip Noyce" "Joel Coen" ...
## $ age_difference : int 52 50 49 45 43 42 40 39 38 38 ...
## $ couple_number : int 1 1 1 1 1 1 1 1 1 1 ...
## $ actor_1_name : chr "Ruth Gordon" "Peter O'Toole" "Michael Caine" "David Huddleston" ...
## $ actor_2_name : chr "Bud Cort" "Jodie Whittaker" "Do Thi Hai Yen" "Tara Reid" ...
## $ character_1_gender: chr "woman" "man" "man" "man" ...
## $ character_2_gender: chr "man" "woman" "woman" "woman" ...
## $ actor_1_birthdate : chr "1896-10-30" "1932-08-02" "1933-03-14" "1930-09-17" ...
## $ actor_2_birthdate : chr "1948-03-29" "1982-06-03" "1982-10-01" "1975-11-08" ...
## $ actor_1_age : int 75 74 69 68 81 59 62 69 57 77 ...
## $ actor_2_age : int 23 24 20 23 38 17 22 30 19 39 ...Director’s Age, Release decades and Characters gender- Analyzing and Visualizing
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, uniondirector_age_diff <- age_gaps_df %>%
group_by(director) %>%
summarize(avg_age_difference = mean(age_difference),
group_size = n())
lowest_probability_director <- director_age_diff %>%
filter(group_size == min(group_size))
barplot(director_age_diff$avg_age_difference, names.arg = director_age_diff$director,
xlab = "Director", ylab = "Average Age Difference",
main = "Average Age Difference by Director", las = 2)
year_age_diff <- age_gaps_df %>%
group_by(release_year) %>%
summarize(avg_age_difference = mean(age_difference),
group_size = n())
lowest_probability_year <- year_age_diff %>%
filter(group_size == min(group_size))
plot(year_age_diff$release_year, year_age_diff$avg_age_difference,
xlab = "Release Year", ylab = "Average Age Difference",
main = "Average Age Difference by Release Year", type = "o")
actor_gender_age_diff <- age_gaps_df %>%
group_by(character_1_gender) %>%
summarize(avg_age_difference = mean(age_difference),
group_size = n())
lowest_probability_gender <- actor_gender_age_diff %>%
filter(group_size == min(group_size))
barplot(actor_gender_age_diff$avg_age_difference, names.arg = actor_gender_age_diff$character_1_gender,
xlab = "Actor 1 Gender", ylab = "Average Age Difference",
main = "Average Age Difference by Actor 1 Gender", las = 1)
Verdicts and Verifiable Theories:
1.Director Group with the Lowest Probability:
Conclusions: Directors in the lowest probability group might employ unique strategies that the broader public is not aware of or comprehends.
Testable Hypothesis: Evaluate and contrast audience reactions and evaluations of films from directors in the lowest probability category with those from mainstream directors. Presume that certain movies are more enjoyable to a specific group of people.
2.Group with the Lowest Probability Decade:
In summary, films that were released in a specific decade may have had distinct historical or cultural contexts, which may have contributed to their underwhelming representation.
Testable Hypothesis: Examine historical occurrences and cultural transformations in the decade with the lowest probability. The theory is that these outside variables affected the making and reception of the film, which led to fewer releases at the period.
3.Group with the Lowest Probability Gender Combination:
Conclusion: films with the least likely gender combination challenge conventional notions of gender roles by showcasing unique character arcs that defy expectations.
Testable Hypothesis: Examine movies with the lowest likelihood of any given gender combination to find examples of subversion of traditional gender roles. Presume that the distinctive character portrayals in these movies are the reason for their popularity.
A combination that does not exist:
# Get unique values of director and character_1_gender
directors <- unique(age_gaps_df$director)
genders <- unique(age_gaps_df$character_1_gender)
# Create a dataframe of all possible combinations
all_combinations <- expand.grid(director = directors, character_1_gender = genders)
# Check for missing combinations
missing_combinations <- anti_join(all_combinations, age_gaps_df, by = c("director", "character_1_gender"))
# Print the missing combinations
print(missing_combinations)## director character_1_gender
## 1 Phillip Noyce woman
## 2 Mike Mills woman
## 3 Katt Shea woman
## 4 Woody Allen woman
## 5 Jon Amiel woman
## 6 Irving Pichel woman
## 7 Jerry Zucker woman
## 8 Michel Gondry woman
## 9 Sofia Coppola woman
## 10 Jonathan Lynn woman
## 11 Daniel Petrie woman
## 12 Jean Negulesco woman
## 13 Rebecca Miller woman
## 14 Paul Haggis woman
## 15 Isabel Coixet woman
## 16 John Glen woman
## 17 Stanley Donen woman
## 18 Melville Shavelson woman
## 19 Don Michael Paul woman
## 20 Billy Wilder woman
## 21 Joseph L. Mankiewicz woman
## 22 Tom Ford woman
## 23 Warren Beatty woman
## 24 Andrew Davis woman
## 25 John Huston woman
## 26 Scott Cooper woman
## 27 Ruben Fleischer woman
## 28 Fred Zinnemann woman
## 29 Bernardo Bertolucci woman
## 30 Ivan Reitman woman
## 31 Julian Farino woman
## 32 Noah Baumbach woman
## 33 David Koepp woman
## 34 Steven Soderbergh woman
## 35 Lee Tamahori woman
## 36 Charles Walters woman
## 37 Charles Shyer woman
## 38 Mira Nair woman
## 39 Delmer Daves woman
## 40 René Clair woman
## 41 Eli Roth woman
## 42 Rob Reiner woman
## 43 Gary Ross woman
## 44 Jonas Åkerlund woman
## 45 Frank Capra woman
## 46 Howard Hawks woman
## 47 Alfred Hitchcock woman
## 48 Bobcat Goldthwait woman
## 49 John Herzfeld woman
## 50 Ridley Scott woman
## 51 Kevin Spacey woman
## 52 Renny Harlin woman
## 53 Tim Burton woman
## 54 Tommy Lee Wallace woman
## 55 Nicholas Ray woman
## 56 Lewis Gilbert woman
## 57 Jonathan Mostow woman
## 58 Robert Redford woman
## 59 Nikolaj Arcel woman
## 60 David Leitch woman
## 61 Sydney Pollack woman
## 62 Lorene Scafaria woman
## 63 Saul Dibb woman
## 64 Hugh Wilson woman
## 65 Bruce Robinson woman
## 66 Joan Chen woman
## 67 Federico Fellini woman
## 68 Alex Kurtzman woman
## 69 Jon Avnet woman
## 70 Quinn Shephard woman
## 71 Barry Levinson woman
## 72 Doug Liman woman
## 73 Michael Mann woman
## 74 Antoine Fuqua woman
## 75 Charlie Chaplin woman
## 76 George Cukor woman
## 77 Richard Loncraine woman
## 78 George Seaton woman
## 79 Sidney Lumet woman
## 80 Roger Spottiswoode woman
## 81 James McTeigue woman
## 82 William Friedkin woman
## 83 Mick Jackson woman
## 84 Tom Shadyac woman
## 85 Stanley Donen, Gene Kelly woman
## 86 Luc Besson woman
## 87 Robert Eggers woman
## 88 Vincente Minnelli woman
## 89 Alejandro González Iñárritu woman
## 90 Vincent Gallo woman
## 91 Garry Marshall woman
## 92 Niels Arden Oplev woman
## 93 Stephen Roberts woman
## 94 David Ayer woman
## 95 Marc Klein woman
## 96 Clint Eastwood woman
## 97 Mark Pellington woman
## 98 David Zucker woman
## 99 Wally Pfister woman
## 100 Marc Forster woman
## 101 Nahnatchka Khan woman
## 102 Jay Roach woman
## 103 Joe & Anthony Russo woman
## 104 Richard Rush woman
## 105 John Carney woman
## 106 Jeffrey Nachmanoff woman
## 107 Brian De Palma woman
## 108 John Cassavetes woman
## 109 Michael Apted woman
## 110 Carl Rinsch woman
## 111 Leo McCarey woman
## 112 Joss Whedon woman
## 113 Shawn Levy woman
## 114 Martin Campbell woman
## 115 Peter Farrelly woman
## 116 Lynn Shelton woman
## 117 Paco Cabezas woman
## 118 Joseph Kosinski woman
## 119 Adam Shankman woman
## 120 Steven Shainberg woman
## 121 Wayne Kramer woman
## 122 Tate Taylor woman
## 123 Steve Buscemi woman
## 124 Brian Robbins woman
## 125 David O. Russell woman
## 126 Michael Curtiz woman
## 127 Louis Malle woman
## 128 Bruce Joel Rubin woman
## 129 George C. Wolfe woman
## 130 Louis Leterrier woman
## 131 Boaz Yakin woman
## 132 Emile Ardolino woman
## 133 Marielle Heller woman
## 134 Justin Chadwick woman
## 135 Christopher Nolan woman
## 136 Robert Wise woman
## 137 John Hamburg woman
## 138 Harold Ramis woman
## 139 Alan Parker woman
## 140 Peter Landesman woman
## 141 Josh Radnor woman
## 142 Marc Lawrence woman
## 143 Quentin Tarantino woman
## 144 Betty Thomas woman
## 145 Susanne Bier woman
## 146 Anton Corbijn woman
## 147 Sam Raimi woman
## 148 Courtney Hunt woman
## 149 James Gray woman
## 150 Lone Scherfig woman
## 151 Paul Verhoeven woman
## 152 Bill Condon woman
## 153 Lawrence Kasdan woman
## 154 Greg Mottola woman
## 155 J.J. Abrams woman
## 156 George Lucas woman
## 157 Seth MacFarlane woman
## 158 Cameron Crowe woman
## 159 Demian Lichtenstein woman
## 160 Jon Favreau woman
## 161 Autumn de Wilde woman
## 162 Steven Baigelman woman
## 163 Matthew Vaughn woman
## 164 Barry Sonnenfeld woman
## 165 Rawson Marshall Thurber woman
## 166 William Wyler woman
## 167 George Nolfi woman
## 168 David Frankel woman
## 169 Bobby Farrelly, Peter Farrelly woman
## 170 Neil Burger woman
## 171 Maya Forbes woman
## 172 M. Night Shyamalan woman
## 173 Curtis Hanson woman
## 174 Eric Brevig woman
## 175 Kevin Bray woman
## 176 Terry Zwigoff woman
## 177 Ken Scott woman
## 178 Victor Fleming woman
## 179 Chris Rock woman
## 180 Cary Fukunaga woman
## 181 Elio Petri woman
## 182 Sam Levinson woman
## 183 Jon Turteltaub woman
## 184 Oliver Stone woman
## 185 Pierre Morel woman
## 186 Rand Ravich woman
## 187 Michael Gracey woman
## 188 Susanna Fogel woman
## 189 Bradley Cooper woman
## 190 Ted Demme woman
## 191 Douglas McGrath woman
## 192 Malcolm Venville woman
## 193 Tom Hanks woman
## 194 Luis Mandoki woman
## 195 Morten Tyldum woman
## 196 Thomas Carter woman
## 197 Gabriele Muccino woman
## 198 Noam Murro woman
## 199 Park Chan-wook woman
## 200 Pat O'Connor woman
## 201 Sheree Folkson woman
## 202 Taylor Hackford woman
## 203 Rob Cohen woman
## 204 Ricky Gervais, Matthew Robinson woman
## 205 Norman Jewison woman
## 206 Mel Gibson woman
## 207 Sean Anders woman
## 208 Mark Steven Johnson woman
## 209 Peter Webber woman
## 210 Hart Bochner woman
## 211 Donald Petrie woman
## 212 Nick Hurran woman
## 213 Paul Weiland woman
## 214 Bonnie Hunt woman
## 215 Hal Needham woman
## 216 Colin Higgins woman
## 217 Ben Stiller woman
## 218 Chuck Russell woman
## 219 Robert Schwentke woman
## 220 David Dobkin woman
## 221 Lasse Hallström woman
## 222 David Cronenberg woman
## 223 William A. Wellman woman
## 224 Steve Pink woman
## 225 Sharon Maguire woman
## 226 Luca Guadagnino woman
## 227 Mark Neveldine, Brian Taylor woman
## 228 Jeff Franklin woman
## 229 P.J. Hogan woman
## 230 Nicolas Winding Refn woman
## 231 Adam McKay woman
## 232 Kevin Reynolds woman
## 233 Steve Kloves woman
## 234 Jack Clayton woman
## 235 Frank Coraci woman
## 236 Jake Kasdan woman
## 237 John McNaughton woman
## 238 Gavin Hood woman
## 239 Judy Greer woman
## 240 Joel Schumacher woman
## 241 Peter Berg woman
## 242 Craig Gillespie woman
## 243 Roger Avary woman
## 244 George Clooney woman
## 245 Spike Lee woman
## 246 Richard LaGravenese woman
## 247 Gore Verbinski woman
## 248 Antony Hoffman woman
## 249 Brian Levant woman
## 250 Fernando Meirelles woman
## 251 James Wan woman
## 252 Tim Story woman
## 253 Tamra Davis woman
## 254 Richard Brooks woman
## 255 Simon West woman
## 256 Victor Levin woman
## 257 Alex Garland woman
## 258 James Foley woman
## 259 Sam Taylor-Johnson woman
## 260 Billy Crystal woman
## 261 Bille Woodruff woman
## 262 Chad Stahelski woman
## 263 Peter Howitt woman
## 264 Andrew Niccol woman
## 265 Wayne Wang woman
## 266 Raja Gosnell woman
## 267 Rowdy Herrington woman
## 268 Peter Chelsom woman
## 269 Bill Purple woman
## 270 Robert Rossen woman
## 271 George Roy Hill woman
## 272 Frank Pierson woman
## 273 Andy Cadiff woman
## 274 Robert Rodriguez woman
## 275 Zach Braff woman
## 276 Paul Weitz woman
## 277 Bernie Goldmann, Melisa Wallack woman
## 278 Jordan Mechner woman
## 279 Michael Tollin woman
## 280 Francis Ford Coppola woman
## 281 John Krasinski woman
## 282 Howard Deutch woman
## 283 Baltasar Kormákur woman
## 284 John Stockwell woman
## 285 Dax Shepard woman
## 286 Mark Piznarski woman
## 287 Lee H. Katzin woman
## 288 Steven Brill woman
## 289 Paul McGuigan woman
## 290 Michael Rymer woman
## 291 Nora Ephron woman
## 292 Michael Showalter woman
## 293 Larry Charles woman
## 294 Alfonso Arau woman
## 295 Billy Bob Thornton woman
## 296 Dagen Merrill woman
## 297 John Crowley woman
## 298 Roman Polanski woman
## 299 Damien Chazelle woman
## 300 George Armitage woman
## 301 Ari Aster woman
## 302 Matthew Ross woman
## 303 Michel Hazanavicius woman
## 304 F. Gary Gray woman
## 305 Roland Joffé woman
## 306 David Mamet woman
## 307 Catherine Hardwicke woman
## 308 Penelope Spheeris woman
## 309 Max Joseph woman
## 310 Julian Jarrold woman
## 311 David McNally woman
## 312 Tim Miller woman
## 313 Jim Gillespie woman
## 314 Rodman Flender woman
## 315 Roland Emmerich woman
## 316 Ericson Core woman
## 317 Kelly Makin woman
## 318 Tarsem Singh woman
## 319 David Lowery woman
## 320 Robert Iscove woman
## 321 Lana Wachowski, Lilly Wachowski woman
## 322 Gil Junger woman
## 323 Guy Ritchie woman
## 324 Scott Derrickson woman
## 325 Yann Samuell woman
## 326 Colin Trevorrow woman
## 327 Edward Zwick woman
## 328 Mike Judge woman
## 329 Otto Bathurst woman
## 330 John Madden woman
## 331 Sanaa Hamri woman
## 332 Stephen T. Kay woman
## 333 Stephen Sommers woman
## 334 Jean-Marc Vallée woman
## 335 Denise Di Novi woman
## 336 Randall Wallace woman
## 337 Blake Edwards woman
## 338 Andy Serkis woman
## 339 Joe Johnston woman
## 340 Homi Adajania woman
## 341 Craig Brewer woman
## 342 Joel Zwick woman
## 343 Dewey Nicks woman
## 344 James Marsh woman
## 345 James Cameron woman
## 346 John Patrick Shanley woman
## 347 Tyler Perry woman
## 348 Hal Ashby man
## 349 Peter Sollett man
## 350 Richard Eyre man
## 351 Todd Haynes man
## 352 Adam Nee, Aaron Nee man
## 353 Stephen Daldry man
## 354 Kevin Rodney Sullivan man
## 355 Barbet Schroeder man
## 356 Danny DeVito man
## 357 Dan Kwan, Daniel Scheinert man
## 358 Alfonso Cuarón man
## 359 Abdellatif Kechiche man
## 360 Ben Younger man
## 361 Boots Riley man
## 362 Lisa Cholodenko man
## 363 Anthony Minghella man
## 364 Rick Famuyiwa man
## 365 Mark Mylod man
## 366 Duncan Jones man
## 367 McG man
## 368 Brad Silberling man
## 369 Ol Parker man
## 370 Valerio Zurlini man
## 371 Mimi Leder man
## 372 Paul Brickman man
## 373 Ava DuVernay man
## 374 James Franco man
## 375 Josh Boone man
## 376 Jordan Peele man
## 377 J.C. Chandor man
## 378 Timur Bekmambetov man
## 379 Gina Prince-Bythewood man
## 380 Arthur Hiller man
## 381 Jason Moore man
## 382 Eric Bress, J. Mackye Gruber man
## 383 Chris Weitz man
## 384 Richard Linklater man
## 385 James Gunn man
## 386 John Fortenberry man
## 387 Greta Gerwig man
## 388 Chris Wedge man
## 389 Sylvain White man
## 390 Phil Alden Robinson man
## 391 Stephen Chbosky man
## 392 Chen Kaige man
## 393 Jim Field Smith man
## 394 Jan de Bont man
## 395 Alejandro Agresti man
## 396 Dome Karukoski manMost/Least Common Combinations:
# Calculate the frequency of each combination
combination_counts <- table(age_gaps_df$director, age_gaps_df$character_1_gender)
# Convert to dataframe for easier manipulation
combination_counts_df <- as.data.frame.table(combination_counts)
# Print the dataframe sorted by frequency
print(combination_counts_df[order(-combination_counts_df$Freq), ])## Var1 Var2 Freq
## 506 Woody Allen man 20
## 218 John Glen man 15
## 297 Martin Scorsese man 9
## 401 Rob Reiner man 9
## 112 Dennis Dugan man 8
## 163 Guy Hamilton man 8
## 459 Steven Spielberg man 8
## 469 Terence Young man 8
## 14 Alfred Hitchcock man 7
## 78 Christopher Nolan man 7
## 97 David Fincher man 7
## 131 Federico Fellini man 7
## 272 Lewis Gilbert man 7
## 325 Mike Newell man 7
## 326 Mike Nichols man 7
## 419 Ron Howard man 7
## 22 Ang Lee man 6
## 221 John Huston man 6
## 247 Judd Apatow man 6
## 331 Nancy Meyers man 6
## 390 Richard Curtis man 6
## 426 Sam Mendes man 6
## 476 Tim Burton man 6
## 485 Tom Shadyac man 6
## 5 Adrian Lyne man 5
## 52 Bobby Farrelly, Peter Farrelly man 5
## 68 Catherine Hardwicke man 5
## 105 David O. Russell man 5
## 141 Garry Marshall man 5
## 168 Harold Ramis man 5
## 176 Ivan Reitman man 5
## 219 John Hamburg man 5
## 284 Marc Forster man 5
## 300 Matthew Vaughn man 5
## 336 Nick Cassavetes man 5
## 358 Paul Thomas Anderson man 5
## 398 Ridley Scott man 5
## 411 Robert Zemeckis man 5
## 422 Ruben Fleischer man 5
## 427 Sam Raimi man 5
## 458 Steven Soderbergh man 5
## 474 Thomas Bezucha man 5
## 4 Adam Shankman man 4
## 21 Andy Tennant man 4
## 65 Cameron Crowe man 4
## 96 David Dobkin man 4
## 157 Glenn Ficarra, John Requa man 4
## 172 Howard Hawks man 4
## 194 Jason Reitman man 4
## 195 Jay Roach man 4
## 210 Joel Coen man 4
## 237 Jonathan Lynn man 4
## 259 Kevin Reynolds man 4
## 266 Lasse Hallström man 4
## 307 Michael Bay man 4
## 312 Michael Mann man 4
## 355 Paul Haggis man 4
## 372 Peter Segal man 4
## 415 Roger Spottiswoode man 4
## 437 Sharon Maguire man 4
## 462 Sydney Pollack man 4
## 466 Tate Taylor man 4
## 488 Tony Scott man 4
## 500 Wes Anderson man 4
## 807 Martin Scorsese woman 4
## 872 Paul Weitz, Chris Weitz woman 4
## 2 Adam McKay man 3
## 10 Alex Garland man 3
## 39 Ben Stiller man 3
## 44 Bill Condon man 3
## 94 David Ayer man 3
## 118 Doug Liman man 3
## 124 Eli Roth man 3
## 126 Emile Ardolino man 3
## 134 Francis Ford Coppola man 3
## 137 Frank Coraci man 3
## 188 James Mangold man 3
## 201 Jeff Tomsic man 3
## 203 Jerry Zucker man 3
## 209 Joe Wright man 3
## 214 John Cassavetes man 3
## 231 Jon Favreau man 3
## 254 Ken Kwapis man 3
## 257 Kevin Bray man 3
## 280 Luis Mandoki man 3
## 287 Marc Webb man 3
## 296 Martin Campbell man 3
## 306 Michael Apted man 3
## 313 Michael Patrick King man 3
## 318 Michel Gondry man 3
## 321 Mick Jackson man 3
## 330 Nahnatchka Khan man 3
## 335 Nicholas Stoller man 3
## 346 Oliver Stone man 3
## 351 Pat O'Connor man 3
## 380 Quentin Tarantino man 3
## 385 Rawson Marshall Thurber man 3
## 394 Richard Loncraine man 3
## 405 Robert Luketic man 3
## 430 Saul Dibb man 3
## 467 Taylor Hackford man 3
## 481 Todd Phillips man 3
## 483 Tom Hanks man 3
## 490 undefined man 3
## 525 Amy Heckerling woman 3
## 601 Danny Boyle woman 3
## 663 George Tillman Jr. woman 3
## 764 Ken Kwapis woman 3
## 835 Mike Newell woman 3
## 841 Nancy Meyers woman 3
## 868 Paul Thomas Anderson woman 3
## 1018 Yorgos Lanthimos woman 3
## 12 Alfonso Arau man 2
## 16 Anand Tucker man 2
## 17 Andrew Davis man 2
## 18 Andrew Niccol man 2
## 23 Angela Robinson man 2
## 24 Anne Fletcher man 2
## 26 Antoine Fuqua man 2
## 38 Baz Luhrmann man 2
## 42 Bernie Goldmann, Melisa Wallack man 2
## 49 Billy Wilder man 2
## 51 Boaz Yakin man 2
## 61 Brian Robbins man 2
## 63 Bruce Robinson man 2
## 64 Bryan Singer man 2
## 71 Charles Walters man 2
## 72 Charlie Chaplin man 2
## 75 Chris Rock man 2
## 80 Clint Eastwood man 2
## 83 Courtney Hunt man 2
## 86 Curtis Hanson man 2
## 91 Danny Boyle man 2
## 98 David Frankel man 2
## 100 David Leitch man 2
## 106 David Yates man 2
## 111 Denise Di Novi man 2
## 114 Dewey Nicks man 2
## 117 Donald Petrie man 2
## 119 Douglas McGrath man 2
## 130 F. Gary Gray man 2
## 135 Francis Lawrence man 2
## 136 Frank Capra man 2
## 139 Fred Zinnemann man 2
## 143 Gary Winick man 2
## 148 George Cukor man 2
## 155 Gil Junger man 2
## 159 Greg Mottola man 2
## 161 Guillermo del Toro man 2
## 175 Isabel Coixet man 2
## 178 J.J. Abrams man 2
## 187 James L. Brooks man 2
## 190 James McTeigue man 2
## 191 James Wan man 2
## 198 Jean-Pierre Jeunet man 2
## 200 Jeff Franklin man 2
## 205 Jim Gillespie man 2
## 207 Joe & Anthony Russo man 2
## 216 John Curran man 2
## 225 John McNaughton man 2
## 233 Jon Turteltaub man 2
## 242 Joseph Kosinski man 2
## 246 Joss Whedon man 2
## 248 Judy Greer man 2
## 251 Justin Chadwick man 2
## 267 Lawrence Kasdan man 2
## 269 Lee Tamahori man 2
## 276 Louis Leterrier man 2
## 281 Lynn Shelton man 2
## 282 M. Night Shyamalan man 2
## 286 Marc Lawrence man 2
## 292 Mark Piznarski man 2
## 298 Massy Tadjedin man 2
## 304 Mel Gibson man 2
## 308 Michael Curtiz man 2
## 309 Michael Gracey man 2
## 311 Michael Lehmann man 2
## 324 Mike Mills man 2
## 328 Mira Nair man 2
## 332 Neil Burger man 2
## 341 Noah Baumbach man 2
## 348 P.J. Hogan man 2
## 354 Paul Feig man 2
## 360 Paul Weiland man 2
## 371 Peter R. Hunt man 2
## 374 Peter Webber man 2
## 375 Peyton Reed man 2
## 377 Phillip Noyce man 2
## 386 Rebecca Miller man 2
## 392 Richard LaGravenese man 2
## 397 Ricky Gervais, Matthew Robinson man 2
## 399 Rob Cohen man 2
## 402 Robert De Niro man 2
## 409 Robert Schwentke man 2
## 410 Robert Wise man 2
## 414 Roger Michell man 2
## 428 Sam Taylor-Johnson man 2
## 431 Scott Cooper man 2
## 434 Sean Anders man 2
## 436 Seth MacFarlane man 2
## 439 Sheree Folkson man 2
## 444 Stanley Donen man 2
## 445 Stanley Donen, Gene Kelly man 2
## 453 Steve McQueen man 2
## 455 Steven Baigelman man 2
## 456 Steven Brill man 2
## 460 Susanna Fogel man 2
## 478 Tim Story man 2
## 482 Tom Ford man 2
## 484 Tom Hooper man 2
## 499 Wayne Wang man 2
## 501 Will Gluck man 2
## 510 Zack Snyder man 2
## 523 Alfonso Cuarón woman 2
## 526 Anand Tucker woman 2
## 535 Anthony Minghella woman 2
## 548 Baz Luhrmann woman 2
## 574 Bryan Singer woman 2
## 584 Chris Columbus woman 2
## 607 David Fincher woman 2
## 645 Francis Lawrence woman 2
## 653 Gary Winick woman 2
## 671 Guillermo del Toro woman 2
## 719 Joe Wright woman 2
## 733 John M. Chu woman 2
## 744 Jon Watts woman 2
## 750 Jordan Peele woman 2
## 757 Judd Apatow woman 2
## 783 Lisa Cholodenko woman 2
## 797 Marc Webb woman 2
## 813 McG woman 2
## 817 Michael Bay woman 2
## 836 Mike Nichols woman 2
## 846 Nick Cassavetes woman 2
## 855 Ol Parker woman 2
## 864 Paul Feig woman 2
## 882 Peter Segal woman 2
## 900 Richard Curtis woman 2
## 906 Rick Famuyiwa woman 2
## 915 Robert Luketic woman 2
## 936 Sam Mendes woman 2
## 969 Steven Spielberg woman 2
## 6 Alan Parker man 1
## 7 Alan Shapiro man 1
## 9 Alejandro González Iñárritu man 1
## 11 Alex Kurtzman man 1
## 15 Amy Heckerling man 1
## 19 Andy Cadiff man 1
## 20 Andy Serkis man 1
## 27 Anton Corbijn man 1
## 28 Antony Hoffman man 1
## 29 Ari Aster man 1
## 31 Atom Egoyan man 1
## 32 Autumn de Wilde man 1
## 34 Baltasar Kormákur man 1
## 36 Barry Levinson man 1
## 37 Barry Sonnenfeld man 1
## 41 Bernardo Bertolucci man 1
## 43 Betty Thomas man 1
## 45 Bill Purple man 1
## 46 Bille Woodruff man 1
## 47 Billy Bob Thornton man 1
## 48 Billy Crystal man 1
## 50 Blake Edwards man 1
## 53 Bobcat Goldthwait man 1
## 54 Bonnie Hunt man 1
## 57 Bradley Cooper man 1
## 58 Brian De Palma man 1
## 59 Brian Helgeland man 1
## 60 Brian Levant man 1
## 62 Bruce Joel Rubin man 1
## 66 Carl Rinsch man 1
## 67 Cary Fukunaga man 1
## 69 Chad Stahelski man 1
## 70 Charles Shyer man 1
## 74 Chris Columbus man 1
## 79 Chuck Russell man 1
## 81 Colin Higgins man 1
## 82 Colin Trevorrow man 1
## 84 Craig Brewer man 1
## 85 Craig Gillespie man 1
## 87 Dagen Merrill man 1
## 88 Damien Chazelle man 1
## 90 Daniel Petrie man 1
## 93 Darren Aronofsky man 1
## 95 David Cronenberg man 1
## 99 David Koepp man 1
## 101 David Lowery man 1
## 102 David Mamet man 1
## 103 David McNally man 1
## 104 David Mirkin man 1
## 107 David Zucker man 1
## 108 Dax Shepard man 1
## 109 Delmer Daves man 1
## 110 Demian Lichtenstein man 1
## 113 Derek Cianfrance man 1
## 116 Don Michael Paul man 1
## 121 Dustin Lance Black man 1
## 122 Edgar Wright man 1
## 123 Edward Zwick man 1
## 125 Elio Petri man 1
## 128 Eric Brevig man 1
## 129 Ericson Core man 1
## 132 Fernando Meirelles man 1
## 133 Franc. Reyes man 1
## 138 Frank Pierson man 1
## 140 Gabriele Muccino man 1
## 142 Gary Ross man 1
## 144 Gavin Hood man 1
## 145 George Armitage man 1
## 146 George C. Wolfe man 1
## 147 George Clooney man 1
## 149 George Lucas man 1
## 150 George Nolfi man 1
## 151 George Roy Hill man 1
## 152 George Seaton man 1
## 153 George Tillman Jr. man 1
## 154 Gia Coppola man 1
## 158 Gore Verbinski man 1
## 162 Gus Van Sant man 1
## 164 Guy Ritchie man 1
## 166 Hal Needham man 1
## 167 Hallie Meyers-Shyer man 1
## 169 Hart Bochner man 1
## 170 Homi Adajania man 1
## 171 Howard Deutch man 1
## 173 Hugh Wilson man 1
## 174 Irving Pichel man 1
## 179 Jack Clayton man 1
## 180 Jacob Aaron Estes man 1
## 181 Jake Kasdan man 1
## 182 James Cameron man 1
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## 1019 Zach Braff woman 0OBSERVATIONS:
- The most prevalent pairings for character 1 usually include a specific director and a specific gender. These recurring patterns point to stylistic or thematic preferences in the direction. On the other hand, the least frequent pairings are uncommon and suggest unusual casting decisions or distinctive qualities of particular movies. Their rarity may be attributed to elements like audience preferences, historical setting, or storyline.
Visualizing Combinations:
library(ggplot2)
# Plot heatmap
ggplot(data = combination_counts_df, aes(x = Var1, y = Var2, fill = Freq)) +
geom_tile() +
scale_fill_gradient(low = "lightblue", high = "darkblue") +
theme_minimal() +
labs(title = "Frequency of Combinations", x = "Director", y = "Character Gender")
Directors age:
Conclusions: The average age difference for each director is calculated once the data is sorted by director. The director or directors with the least average age difference are then chosen, and in the original data set, they are designated as the “Lowest Probability” group.
Significance: The directors that belong to the “Lowest Probability” group might be those whose films generally showcase a distinct age dynamic between characters. It could point to a certain narrative approach or overarching theme in their works.
Additional queries:
What features of the “Lowest Probability” directors’ movies help to explain the lower average age difference? Is it a recurrent motif or a deliberate storytelling decision?
What is the response of the public to movies directed by “Lowest Probability” directors? Are they more limited, or does the unique age dynamic appeal to a specific group of people?
Release Decades:
Conclusions: By grouping the release years into decades, the code creates a new column named release_decade. The number of films in each decade is then calculated by organizing the data by release decade. The original data frame is determined in accordance with the “Lowest Probability” group, which is the release decade with the lowest count.
Significance: A decade with fewer films released than other decades is indicated by the “Lowest Probability” decade group. This may indicate a less frequent or unique time frame for film releases.
Additional queries
What cultural or historical elements shaped the number of movies released in the “Lowest Probability” decade? At that time, are there any significant happenings or changes in the industry?
Does the decade category “Lowest Probability” correspond with any specific genre trends? During that period, are those specific genres more or less popular?
Character Genders:
Conclusions: The average age of both actors in each gender combination is produced by the code, which gathers data based on the genders of the characters (character_1_gender and character_2_gender). Next, it determines which gender combination has the lowest average age and designates that group in the original dataframe as “Lowest Probability”.
Significance: The lower average age of the “Lowest Probability” gender combination group may draw attention to a distinct or uncommon portrayal of gender dynamics in movies.
Additional queries
Which character relationship interactions are associated with the gender combination that has the “Lowest Probability”? Does it represent a particular type of relationship or plot?
Which genres are more likely to have the gender combination with the “Lowest Probability”? How do different movie genres depict gender differently?