oscars <-
structure(list(oscar_no = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 41, 42, 
43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 
59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 
75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 1, 2, 3, 4, 5, 5, 6, 
7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 
23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 
39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 
55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 
71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 
87, 88, 89, 90, 91, 85, 86, 87, 88, 89, 90, 91), oscar_yr = c(1929, 
1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 
1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 
1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 
1963, 1964, 1965, 1966, 1967, 1968, 1969, 1969, 1970, 1971, 1972, 
1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 
1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 
1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 
2006, 2007, 2008, 2009, 2010, 2011, 2012, 1929, 1930, 1931, 1932, 
1933, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 
1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 
1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 
1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 
1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 
1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 
1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 
2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 
2013, 2014, 2015, 2016, 2017, 2018, 2019), award = c("Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actress", "Best actress", "Best actress", "Best actress", 
"Best actress", "Best actress", "Best actress", "Best actor", 
"Best actor", "Best actor", "Best actor", "Best actor", "Best actor", 
"Best actor"), name = c("Janet Gaynor", "Mary Pickford", "Norma Shearer", 
"Marie Dressler", "Helen Hayes", "Katharine Hepburn", "Claudette Colbert", 
"Bette Davis", "Luise Rainer", "Luise Rainer", "Bette Davis", 
"Vivien Leigh", "Ginger Rogers", "Joan Fontaine", "Greer Garson", 
"Jennifer Jones", "Ingrid Bergman", "Joan Crawford", "Olivia de Havilland", 
"Loretta Young", "Jane Wyman", "Olivia de Havilland", "Judy Holliday", 
"Vivien Leigh", "Shirley Booth", "Audrey Hepburn", "Grace Kelly", 
"Anna Magnani", "Ingrid Bergman", "Joanne Woodward", "Susan Hayward", 
"Simone Signoret", "Elisabeth Taylor", "Sophia Loren", "Anne Bancroft", 
"Patricia Neal", "Julie Andrews", "Julie Christie", "Elizabeth Taylor", 
"Katharine Hepburn", "Barbra Streisand", "Katharine Hepburn", 
"Maggie Smith", "Glenda Jackson", "Jane Fonda", "Liza Minnelli", 
"Glenda Jackson", "Ellen Burstyn", "Louise Fletcher", "Faye Dunaway", 
"Diane Keaton", "Jane Fonda", "Sally Field", "Sissy Spacek", 
"Katharine Hepburn", "Meryl Streep", "Shirley MacLaine", "Sally Field", 
"Geraldine Page", "Marlee Matlin", "Cher", "Jodie Foster", "Jessica Tandy", 
"Kathy Bates", "Jodie Foster", "Emma Thompson", "Holly Hunter", 
"Jessica Lange", "Susan Sarandon", "Frances McDormand", "Helen Hunt", 
"Gwyneth Paltrow", "Hilary Swank", "Julia Roberts", "Halle Berry", 
"Nicole Kidman", "Charlize Theron", "Hilary Swank", "Reese Witherspoon", 
"Helen Mirren", "Marion Cotillard", "Kate Winslet", "Sandra Bullock", 
"Natalie Portman", "Meryl Streep", "Emil Jannings", "Warner Baxter", 
"George Arliss", "Lionel Barrymore", "Fredric March", "Wallace Beery", 
"Charles Laughton", "Clark Gable", "Victor McLaglen", "Paul Muni", 
"Spencer Tracy", "Spencer Tracy", "Robert Donat", "James Stewart", 
"Gary Cooper", "James Cagney", "Paul Lukas", "Bing Crosby", "Ray Milland", 
"Fredric March", "Ronald Colman", "Laurence Olivier", "Broderick Crawford", 
"Jose Ferrer", "Humphrey Bogart", "Gary Cooper", "William Holden", 
"Marlon Brando", "Ernest Borgnine", "Yul Brynner", "Alec Guinness", 
"David Niven", "Charlton Heston", "Burt Lancaster", "Maximilian Schell", 
"Gregory Peck", "Sidney Poitier", "Rex Harrison", "Lee Marvin", 
"Paul Scofield", "Rod Steiger", "Cliff Robertson", "John Wayne", 
"George C. Scott", "Gene Hackman", "Marlon Brando", "Jack Lemmon", 
"Art Carney", "Jack Nicholson", "Peter Finch", "Richard Dreyfuss", 
"Jon Voight", "Dustin Hoffman", "Robert De Niro", "Henry Fonda", 
"Ben Kingsley", "Robert Duvall", "F. Murray Abraham", "William Hurt", 
"Paul Newman", "Michael Douglas", "Dustin Hoffman", "Daniel Day-Lewis", 
"Jeremy Irons", "Anthony Hopkins", "Al Pacino", "Tom Hanks", 
"Tom Hanks", "Nicolas Cage", "Geoffrey Rush", "Jack Nicholson", 
"Roberto Benigni", "Kevin Spacey", "Russell Crowe", "Denzel Washington", 
"Adrien Brody", "Sean Penn", "Jamie Foxx", "Philip Hoffman", 
"Forest Whitaker", "Daniel Day-Lewis", "Sean Penn", "Jeff Bridges", 
"Colin Firth", "Jean Dujardin", "Jennifer Lawrence", "Cate Blanchett", 
"Julianne Moore", "Brie Larson", "Emma Stone", "Frances McDormand", 
"Olivia Colman", "Daniel Day-Lewis", "Matthew McConaughey", "Eddie Redmayne", 
"Leonardo Di Caprio", "Casey Affleck", "Gary Oldman", "Rami Malek"
), movie = c("7th Heaven", "Coquette", "The Divorcee", "Min and Bill", 
"The Sin of Madelon Claudet", "Morning Glory", "It Happened One Night", 
"Dangerous", "The Great Zeigfeld", "The Good Earth", "Jezebel", 
"Gone With the Wind", "Kitty Foyle", "Suspicion", "Mrs. Miniver", 
"The Song of Bernadette", "Gaslight", "Mildred Pierce", "To Each His Own", 
"The Farmer's Daughter", "Johnny Belinda", "The Heiress", "Born Yesterday", 
"A Streetcar Named Desire", "Come Back, Little Sheba", "Roman Holiday", 
"The Country Girl", "The Rose Tattoo", "Anastasia", "The Three Faces of Eve", 
"I Want to Live!", "Room at the Top", "Butterfield 8", "Two Women", 
"The Miracle Worker", "Hud", "Mary Poppins", "Darling", "Who's Afraid of Virginia Wolf", 
"Guess Who's Coming to Dinner", "Funny Girl", "The Lion in Winter", 
"The Prime of Miss Jean Brodie", "Women In Love", "Klute", "Cabaret", 
"A Touch of Class", "Alice Doesn't Live Here Anymore", "One Flew Over the Cockoo's Nest", 
"Network", "Annie Hall", "Coming Home", "Norma Rae", "Coal Miner's Daughter", 
"On Golden Pond", "Sophies Choice", "Terms of Endearment", "Places in the Heart", 
"Trip to Bountiful", "Children of a Lesser God", "Moonstruck", 
"The Accused", "Driving Miss Daisy", "Misery", "The Silence of the Lambs", 
"Howards End", "The Piano", "Blue Sky", "Dead Man Walking", "Fargo", 
"As Good As It Gets", "Shakespeare in Love", "Boys Don't Cry", 
"Erin Brockovich", "Monster's Ball", "The Hours", "Monster", 
"Million Dollar Baby", "Walk the Line", "The Queen", "La Vie en Rose", 
"The Reader", "The Blind Side", "Black Swan", "The Iron Lady", 
"The Way of All Flesh & The Las", "In Old Arizona", "Disraeli", 
"A Free Soul", "Dr. Jekyll and Mr. Hyde", "The Champ", "The Private Life of Henry VIII", 
"It Happened One Night", "The Informer", "The Story of Louis Pasteur", 
"Captains Courageous", "Boys Town", "Goodbye, Mr. Chips", "The Philadelphia Story", 
"Sergeant York", "Yankee Doodle Dandy", "Watch on the Rhine", 
"Going My Way", "The Lost Weekend", "The Best Years of Our Lives", 
"A Double Life", "Hamlet", "All the King's Men", "Cyrano de Bergerac", 
"The African Queen", "High Noon", "Stalag 17", "On The Waterfront", 
"Marty", "The King and I", "The Bridge On The River Kwai", "Separate Tables", 
"Ben-Hur", "Elmer Gantry", "Judgment at Nuremburg", "To Kill a Mockingbird", 
"Lilies of the Field", "My Fair Lady", "Cat Ballou", "A Man for All Seasons", 
"In the Heat of the Night", "Charly", "True Grit", "Patton", 
"The French Connection", "The Godfather", "Save the Tiger", "Harry and Tonto", 
"One Flew Over The Cuckoo's Nes", "Network", "The Goodbye Girl", 
"Coming Home", "Kramer vs. Kramer", "Raging Bull", "On Golden Pond", 
"Ghandi", "Tender Mercies", "Amadeus", "Kiss of the Spider Woman", 
"The Color of Money", "Wall Street", "Rain Man", "My Left Foot", 
"Reversal of Fortune", "The Silence of the Lambs", "Scent of a Woman", 
"Philadelphia", "Forest Gump", "Leaving Las Vegas", "Shine", 
"As Good as It Gets", "Life is Beautiful", "American Beauty", 
"Gladiator", "Training Day", "The Pianist", "Mystic River", "Ray", 
"Capote", "The Last King of Scotland", "There Will Be Blood", 
"Milk", "Crazy Heart", "The King's Speech", "The Artist", "Silver Linings Playbook", 
"Blue Jasmine", "Still Alice", "Room", "La La Land", "Three Billboards Outside of Ebbing Missouri", 
"The Favourite", "Lincoln", "Dallas Buyers Club", "The Theory of Everything", 
"The Revenant", "Manchester by the Sa", "Darkest Hour", "Bohemian Rhapsody"
), age = c(22, 37, 28, 63, 32, 26, 31, 27, 26, 27, 30, 26, 29, 
24, 38, 24, 29, 33, 30, 34, 34, 33, 29, 38, 54, 24, 25, 47, 41, 
27, 41, 38, 28, 27, 31, 37, 29, 25, 34, 60, 26, 61, 35, 34, 34, 
26, 37, 42, 41, 35, 31, 41, 33, 31, 74, 33, 49, 38, 61, 21, 41, 
26, 80, 42, 29, 33, 35, 45, 49, 39, 34, 26, 25, 33, 35, 35, 28, 
30, 29, 61, 32, 33, 45, 29, 62, 44, 40, 62, 53, 35, 47, 34, 33, 
52, 41, 37, 38, 34, 32, 40, 43, 48, 41, 40, 49, 56, 41, 38, 41, 
52, 51, 35, 30, 38, 41, 43, 48, 36, 47, 31, 46, 36, 56, 41, 44, 
42, 43, 62, 43, 41, 48, 48, 56, 38, 60, 30, 40, 42, 37, 76, 39, 
52, 45, 35, 61, 43, 51, 32, 42, 54, 52, 37, 38, 31, 45, 60, 46, 
40, 36, 47, 29, 43, 37, 38, 45, 50, 48, 60, 50, 39, 22, 44, 54, 
26, 28, 60, 44, 55, 44, 32, 41, 41, 59, 37), birth_pl = c("Pennsylvania", 
"Canada", "Canada", "Canada", "Washington DC", "Connecticut", 
"France", "Massachusetts", "Germany", "Germany", "Massachusetts", 
"India", "Missouri", "Japan", "England", "Oklahoma", "Sweden", 
"Texas", "Japan", "Utah", "Missouri", "Japan", "New York", "India", 
"New York", "Belgium", "Philly", "Italy", "Sweden", "Georgia", 
"New York", "Germany", "England", "Italy", "New York", "Kentucky", 
"England", "India", "England", "Connecticut", "New York", "Connecticut", 
"England", "England", "New York", "California", "England", "Michigan", 
"Alabama", "Florida", "California", "New York", "California", 
"Texas", "Connecticut", "New Jersey", "Virginia", "California", 
"Missouri", "Illinois", "California", "California", "England", 
"Tennessee", "California", "England", "Georgia", "Minnesota", 
"New York", "Illinois", "California", "California", "Washington", 
"Georgia", "Ohio", "Australia", "South Africa", "Washington", 
"Louisiana", "England", "France", "England", "Virginia", "Israel", 
"New Jersey", "Switzerland", "Ohio", "England", "Pennsylvania", 
"Wisconsin", "Missouri", "England", "Ohio", "England", "Poland", 
"Wisconsin", "Wisconsin", "England", "Pennsylvania", "Montana", 
"New York", "Hungary", "Washington", "Wales", "Wisconsin", "England", 
"England", "Pennsylvania", "Puerto Rico", "New York", "Montana", 
"Illinois", "Nebraska", "Connecticut", "Russia", "England", "Wales", 
"Illinois", "New York", "Austria", "California", "Florida", "England", 
"New York", "England", "New York", "California", "Iowa", "Virginia", 
"California", "Nebraska", "Massachusetts", "New York", "New York", 
"England", "New York", "New York", "California", "New York", 
"Nebraska", "England", "California", "Pennsylvania", "Washington DC", 
"Ohio", "New Jersey", "California", "England", "Isle of Wight", 
"Wales", "New York", "California", "California", "California", 
"Australia", "New York", "Italy", "New Jersey", "New Zealand", 
"New York", "New York", "California", "Texas", "New York", "California", 
"England", "California", "California", "England", "France", "Kentucky", 
"Australia", "North Carolina", "California", "Arizona", "Illinois", 
"England", "England", "Texas", "England", "California", "Massachusetts", 
"England", "California"), birth_date = structure(c(-23098, -28391, 
-24616, -36942, -25285, -22880, -24217, -22551, -21904, -21904, 
-22551, -20511, -21354, -19064, -23835, -18568, -19849, -21103, 
-19542, -20814, -20451, -19542, -17726, -20511, -26056, -14852, 
-14660, -22580, -19849, -14553, -19178, -17814, -13823, -12887, 
-13986, -16052, -12511, -10854, -13823, -22880, -10114, -22880, 
-12788, -12290, -11699, -8696, -12290, -13539, -12947, -10579, 
-8762, -11699, -8457, -7312, -22880, -7498, -13036, -8457, -16476, 
-1591, -8627, -2600, -22123, -7857, -2600, -3914, -4305, -7561, 
-8490, -4575, -2392, 1001, 1671, -796, -1236, -926, 2044, 1671, 
2272, -8925, 2098, 2103, -1985, 4266, -7498, -31207, -29497, 
-37155, -33485, -26420, -30955, -25751, -25171, -31432, -27129, 
-25473, -25473, -23665, -22506, -25076, -25735, -27248, -24350, 
-23739, -26420, -28815, -22870, -21208, -22273, -25574, -25076, 
-18887, -16709, -19335, -19902, -20363, -21856, -16891, -20514, 
-14269, -19629, -15656, -22582, -16753, -17512, -16333, -16185, 
-22866, -15416, -14581, -16709, -16398, -18686, -11942, -19453, 
-8100, -11326, -11834, -9634, -23606, -9498, -14241, -11027, 
-7227, -16411, -9229, -11834, -4630, -7774, -11689, -10843, -4924, 
-4924, -2186, -6754, -11942, -6275, -3812, -2095, -5483, 1199, 
-3424, -750, -893, -3092, -4630, -3424, -7333, -3371, 930, 7531, 
-232, -3316, 7213, 6884, -4575, 1490, -4630, -58, 4388, 1775, 
2049, -4304, 4149), class = "Date"), birth_mo = c(10, 4, 8, 11, 
10, 5, 9, 4, 1, 1, 4, 11, 7, 10, 9, 3, 8, 3, 7, 1, 1, 7, 6, 11, 
8, 5, 11, 3, 8, 2, 6, 3, 2, 9, 9, 1, 10, 4, 2, 5, 4, 5, 12, 5, 
12, 3, 5, 12, 7, 1, 1, 12, 11, 12, 5, 6, 4, 11, 11, 8, 5, 11, 
6, 6, 11, 4, 3, 4, 10, 6, 6, 9, 7, 10, 8, 6, 8, 7, 3, 7, 9, 10, 
7, 9, 6, 7, 3, 4, 4, 8, 4, 7, 2, 12, 9, 4, 4, 3, 5, 5, 7, 5, 
5, 1, 8, 2, 5, 12, 1, 12, 5, 4, 4, 1, 7, 4, 3, 10, 11, 12, 4, 
2, 3, 2, 1, 4, 9, 5, 10, 1, 4, 2, 11, 4, 9, 10, 12, 8, 8, 5, 
12, 1, 10, 3, 1, 9, 8, 4, 9, 12, 4, 7, 7, 1, 7, 4, 10, 7, 4, 
12, 4, 8, 12, 7, 7, 4, 8, 12, 10, 7, 8, 5, 12, 10, 11, 6, 1, 
4, 11, 1, 11, 8, 3, 5), birth_d = c(6, 8, 10, 9, 10, 12, 13, 
5, 12, 12, 5, 5, 16, 22, 29, 2, 29, 23, 1, 6, 4, 1, 21, 5, 30, 
4, 12, 7, 29, 27, 30, 25, 27, 20, 17, 20, 1, 14, 27, 12, 24, 
12, 28, 9, 21, 12, 9, 7, 22, 14, 5, 21, 6, 25, 12, 22, 24, 6, 
22, 24, 20, 19, 7, 28, 19, 15, 20, 20, 4, 23, 15, 28, 30, 28, 
14, 20, 7, 30, 22, 26, 30, 5, 26, 6, 22, 23, 29, 10, 28, 31, 
1, 1, 1, 11, 22, 5, 5, 18, 20, 7, 17, 26, 3, 3, 31, 9, 22, 9, 
8, 25, 7, 17, 3, 24, 7, 2, 1, 4, 2, 8, 5, 20, 5, 19, 21, 14, 
9, 26, 18, 30, 3, 8, 4, 22, 28, 29, 29, 8, 17, 16, 31, 5, 24, 
20, 26, 25, 8, 29, 19, 31, 25, 9, 9, 7, 6, 22, 27, 26, 7, 28, 
14, 17, 13, 23, 15, 29, 17, 4, 9, 19, 15, 14, 3, 1, 6, 23, 30, 
29, 4, 6, 11, 12, 21, 12), birth_y = c(1906, 1892, 1902, 1868, 
1900, 1907, 1903, 1908, 1910, 1910, 1908, 1913, 1911, 1917, 1904, 
1919, 1915, 1912, 1916, 1913, 1914, 1916, 1921, 1913, 1898, 1929, 
1929, 1908, 1915, 1930, 1917, 1921, 1932, 1934, 1931, 1926, 1935, 
1940, 1932, 1907, 1942, 1907, 1934, 1936, 1937, 1946, 1936, 1932, 
1934, 1941, 1946, 1937, 1946, 1949, 1907, 1949, 1934, 1946, 1924, 
1965, 1946, 1962, 1909, 1948, 1962, 1959, 1958, 1949, 1946, 1957, 
1963, 1972, 1974, 1967, 1966, 1967, 1975, 1974, 1976, 1945, 1975, 
1975, 1964, 1981, 1949, 1884, 1889, 1868, 1878, 1897, 1885, 1899, 
1901, 1883, 1895, 1900, 1900, 1905, 1908, 1901, 1899, 1895, 1903, 
1905, 1897, 1891, 1907, 1911, 1909, 1899, 1901, 1918, 1924, 1917, 
1915, 1914, 1910, 1923, 1913, 1930, 1916, 1927, 1908, 1924, 1922, 
1925, 1925, 1907, 1927, 1930, 1924, 1925, 1918, 1937, 1916, 1947, 
1938, 1937, 1943, 1905, 1943, 1931, 1939, 1950, 1925, 1944, 1937, 
1957, 1948, 1937, 1940, 1956, 1956, 1964, 1951, 1937, 1952, 1959, 
1964, 1954, 1973, 1960, 1967, 1967, 1961, 1957, 1960, 1949, 1960, 
1972, 1990, 1969, 1960, 1989, 1988, 1957, 1974, 1957, 1969, 1982, 
1974, 1975, 1958, 1981)), row.names = c(NA, -184L), class = c("tbl_df", 
"tbl", "data.frame"))
