lego_sample <- structure(list(item_number = c(10859, 10860, 10862, 10864, 10867, 10870, 10872, 10875, 10876, 10878, 10882, 10885, 10886, 10901, 10904, 10906, 10908, 10910, 10915, 10918, 10921, 10926, 10927, 10928, 10929, 41330, 41333, 41335, 41340, 41353, 41356, 41358, 41363, 41367, 41369, 41374, 41376, 41378, 41384, 41387, 41394, 41396, 41400, 41403, 41408, 41421, 41423, 41424, 41427, 41428, 60170, 60171, 60172, 60182, 60183, 60184, 60202, 60208, 60213, 60215, 60217, 60219, 60221, 60223, 60226, 60243, 60245, 60246, 60248, 60249, 60251, 60252, 60258, 60266, 60267), set_name = c("My First Ladybird", "My First Race Car", "My First Celebration", "Large Playground Brick Box", "Farmers' Market", "Farm Animals", "Train Bridge and Tracks", "Cargo Train", "Spider-Man & Hulk Adventures", "Rapunzel's Tower", "Train Tracks", "My First Fun Puzzle", "My First Car Creations", "Fire Truck", "Baby Animals", "Tropical Island", "Plane", "Submarine Adventure", "Alphabet Truck", "Tow Truck", "Super Heroes Lab", "Bedroom", "Pizza Stand", "Bakery", "Modular Playhouse", "Stephanie's Soccer Practice", "Olivia's Mission Vehicle", "Mia's Tree House", "Friendship House", "Friends Advent Calendar", "Stephanie's Heart Box", "Mia's Heart Box", "Mia's Forest Adventures", "Stephanie's Obstacle Course", "Mia's House", "Andrea's Pool Party", "Turtles Rescue Mission", "Dolphins Rescue Mission", "Andrea's Summer Heart Box", "Olivia's Summer Heart Box", "Heartlake City Hospital", "Puppy Playground", "Andrea's Play Cube - Singer", "Mia's Play Cube - Veterinarian", "Mia's Play Cube - Cinema", "Baby Elephant Jungle Rescue", "Tiger Hot Air Balloon Jungle Rescue", "Jungle Rescue Base", "Emma's Fashion Shop", "Beach House", "Off-Road Chase", "Mountain Fugitives", "Dirt Road Pursuit", "Pickup & Caravan", "Heavy Cargo Transport", "Mining Team", "People Pack - Outdoor Adventures", "Parachute Arrest", "Dock Side Fire", "Fire Station", "Fire Plane", "Construction Loader", "Diving Yacht", "Harvester Transport", "Mars Research Shuttle", "Police Helicopter Chase", "Police Monster Truck Heist", "Police Station", "Fire Helicopter Response", "Street Sweeper", "Monster Truck", "Construction Bulldozer", "Tuning Workshop", "Ocean Exploration Ship", "Safari Off-Roader"), theme = c("DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "DUPLO®", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "Friends", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City", "City"), pieces = c(6, 6, 41, 71, 26, 16, 26, 105, 38, 37, 23, 15, 34, 21, 9, 73, 12, 24, 36, 7, 30, 16, 18, 46, 129, 119, 223, 351, 722, 500, 85, 83, 134, 337, 715, 468, 225, 363, 83, 93, 379, 57, 49, 40, 37, 203, 302, 648, 343, 444, 37, 88, 297, 344, 310, 82, 164, 218, 97, 509, 363, 88, 148, 358, 273, 212, 362, 743, 93, 89, 55, 126, 897, 745, 168), price = c(4.9900000000000002, 4.9900000000000002, 14.99, 49.990000000000002, 19.989999999999998, 9.9900000000000002, 24.989999999999998, 119.98999999999999, 29.989999999999998, 29.989999999999998, 19.989999999999998, 19.989999999999998, 19.989999999999998, 19.989999999999998, 9.9900000000000002, 59.990000000000002, 9.9900000000000002, 19.989999999999998, 24.989999999999998, 6.9900000000000002, 29.989999999999998, 14.99, 9.9900000000000002, 34.990000000000002, 59.990000000000002, 14.99, 19.989999999999998, 29.989999999999998, 69.989999999999995, 29.989999999999998, 7.9900000000000002, 7.9900000000000002, 14.99, 39.990000000000002, 69.989999999999995, 49.990000000000002, 19.989999999999998, 39.990000000000002, 7.9900000000000002, 7.9900000000000002, 49.990000000000002, 9.9900000000000002, 9.9900000000000002, 9.9900000000000002, 9.9900000000000002, 19.989999999999998, 39.990000000000002, 79.989999999999995, 29.989999999999998, 49.990000000000002, 6.9900000000000002, 9.9900000000000002, 39.990000000000002, 29.989999999999998, 29.989999999999998, 9.9900000000000002, 39.990000000000002, 39.990000000000002, 19.989999999999998, 69.989999999999995, 59.990000000000002, 9.9900000000000002, 19.989999999999998, 29.989999999999998, 39.990000000000002, 39.990000000000002, 59.990000000000002, 99.989999999999995, 29.989999999999998, 9.9900000000000002, 9.9900000000000002, 19.989999999999998, 99.989999999999995, 149.99000000000001, 19.989999999999998), amazon_price = c(16, 9.4499999999999993, 39.890000000000001, 56.689999999999998, 36.990000000000002, 9.9900000000000002, 21.989999999999998, 128.94999999999999, 74.5, 98.989999999999995, 17.989999999999998, 19.550000000000001, 16, 17.989999999999998, 21.109999999999999, 59.990000000000002, 23.27, 17.989999999999998, 21.989999999999998, 6.29, 26.989999999999998, 14.99, 8.9900000000000002, 29.989999999999998, 59.990000000000002, 40.399999999999999, 45.950000000000003, 53.880000000000003, 184.99000000000001, 34, 14.99, 18.640000000000001, 18.949999999999999, 35.990000000000002, 62.990000000000002, 40, 31.27, 31.670000000000002, 14.99, 7.9900000000000002, 48.530000000000001, 8.9900000000000002, 18.93, 17.969999999999999, 15.32, 19.989999999999998, 39.950000000000003, 79.950000000000003, 29.949999999999999, 49.950000000000003, 30.890000000000001, 16.489999999999998, 64.75, 65.989999999999995, 69.950000000000003, 21.989999999999998, 69.989999999999995, 31.460000000000001, 23.829999999999998, 56, 53.990000000000002, 8.9900000000000002, 16, 54.799999999999997, 31.989999999999998, 35.979999999999997, 52.740000000000002, 99.989999999999995, 23.98, 8.9900000000000002, 8.9900000000000002, 15.99, 99.989999999999995, 149.99000000000001, 17.989999999999998), year = c(2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2018, 2018, 2018, 2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020, 2020), ages = c("Ages_1½-3", "Ages_1½-3", "Ages_1½-3", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_2-5", "Ages_1½+", "Ages_1½+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_1½+", "Ages_1½+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_2+", "Ages_6-12", "Ages_6-12", "Ages_6-12", "Ages_6-12", "Ages_6-12", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_4+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_6+", "Ages_7+", "Ages_8+", "Ages_6+", "Ages_6+", "Ages_5-12", "Ages_5-12", "Ages_5-12", "Ages_5-12", "Ages_5-12", "Ages_5-12", "Ages_5-12", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_6+", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_6+", "Ages_5+", "Ages_5+", "Ages_5+", "Ages_4+", "Ages_6+", "Ages_7+", "Ages_5+"), pages = c(9, 9, 9, 32, 9, 8, 16, 64, 20, 24, 16, 9, 10, 10, 8, 40, 10, 8, 1, 3, 16, 2, 12, 20, 84, 48, 84, 120, 164, 4, 32, 32, 44, 100, 192, 112, 72, 116, 36, 40, 132, 40, 5, 5, 5, 68, 116, 176, 112, 160, 20, 36, 116, 140, 128, 32, 64, 120, 48, 184, 156, 36, 64, 148, 160, 128, 200, 345, 44, 48, 32, 84, 389, 229, 76), minifigures = c("NA", "NA", "NA", "2", "3", "NA", "1", "3", "3", "1", "NA", "NA", "NA", "2", "NA", "3", "1", "2", "2", "NA", "3", "2", "1", "2", "3", "1", "1", "2", "3", "NA", "1", "1", "1", "2", "3", "2", "2", "2", "1", "2", "3", "1", "1", "1", "1", "2", "2", "3", "2", "2", "2", "4", "3", "3", "2", "4", "15", "4", "2", "4", "3", "1", "2", "3", "2", "4", "5", "7", "3", "1", "1", "2", "7", "8", "2" ), packaging = c("Box", "Box", "Box", "Plastic box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "NA", "NA", "Box", "Box", "Box", "Box", "Box", "Box", "Box with backing card", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "NA", "NA", "NA", "NA", "NA", "Box", "Box", "Box", "Other", "Other", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box", "Box"), weight = c("NA", "0.13Kg (0.29 lb)", "NA", "1.41Kg (3.11 lb)", "NA", "NA", "0.88Kg (1.95 lb)", "2.86Kg (6.31 lb)", "0.54Kg (1.19 lb)", "NA", "0.66Kg (1.45 lb)", "NA", "0.64Kg (1.41 lb)", "0.45Kg (0.99 lb)", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "0.32Kg (0.7 lb)", "0.61Kg (1.34 lb)", "1.14Kg (2.51 lb)", "NA", "0.13Kg (0.29 lb)", "0.14Kg (0.31 lb)", "0.15Kg (0.33 lb)", "0.59Kg (1.3 lb)", "1.12Kg (2.47 lb)", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "NA", "0.6Kg (1.32 lb)", "0.65Kg (1.43 lb)", "0.59Kg (1.3 lb)", "0.13Kg (0.29 lb)", "0.29Kg (0.64 lb)", "0.48Kg (1.05 lb)", "0.25Kg (0.54 lb)", "1.17Kg (2.57 lb)", "0.76Kg (1.68 lb)", "0.16Kg (0.34 lb)", "0.34Kg (0.74 lb)", "0.65Kg (1.43 lb)", "0.61Kg (1.34 lb)", "0.52Kg (1.16 lb)", "0.85Kg (1.87 lb)", "1.85Kg (4.06 lb)", "0.25Kg (0.55 lb)", "0.14Kg (0.31 lb)", "0.14Kg (0.31 lb)", "0.35Kg (0.78 lb)", "1.63Kg (3.58 lb)", "2.28Kg (5.03 lb)", "0.34Kg (0.76 lb)"), unique_pieces = c(5, 6, 18, 49, 18, 13, 10, 68, 29, 26, 9, 15, 31, 16, 9, 44, 11, 22, 35, 7, 23, 16, 15, 33, 56, 78, 106, 151, 309, 202, 36, 38, 77, 168, 274, 221, 125, 192, 46, 48, 154, 41, 32, 32, 31, 111, 145, 251, 152, 216, 28, 61, 140, 188, 161, 64, 128, 139, 63, 210, 151, 50, 81, 166, 135, 127, 198, 298, 61, 55, 34, 81, 411, 314, 86), size = c("Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Large", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small", "Small")), row.names = c(NA, -75L), class = c("tbl_df", "tbl", "data.frame"))