disobedientlib.rb

[1] pry(#<Context>)> u = User.new(user_id: "disobedientlib")
=> #<BggTools::User:0x0000000106557fb0 @user_id="disobedientlib">
[2] pry(#<Context>)> u.owned.map(&:rating).select { |r| r.to_i > 0 }.flat_map { |r| r.item.mechanics.map { |m| [m, r.to_i]}}.group_by {|k,v|k}.select { |k,v| v.size > 4 }.map {|k,v| [k, v.map(&:last).mean.round(2), v.size]}.sort_by {|k,v,p| -v}.first(15)
=> [["Deck Construction", 8.67, 6],
 ["Simulation", 8.42, 12],
 ["Turn Order: Progressive", 8.36, 11],
 ["Card Play Conflict Resolution", 8.36, 14],
 ["Hexagon Grid", 8.33, 15],
 ["Campaign / Battle Card Driven", 8.3, 10],
 ["Tags", 8.29, 7],
 ["Player Elimination", 8.29, 7],
 ["Movement Points", 8.29, 7],
 ["Action Points", 8.27, 15],
 ["Scenario / Mission / Campaign Game", 8.24, 21],
 ["Closed Drafting", 8.22, 9],
 ["Multi-Use Cards", 8.2, 10],
 ["Increase Value of Unchosen Resources", 8.2, 5],
 ["Critical Hits and Failures", 8.2, 5]]
[3] pry(#<Context>)> u.owned.map(&:rating).select { |r| r.to_i > 0 }.flat_map { |r| r.item.mechanics.map { |m| [m, r.to_i]}}.group_by {|k,v|k}.select { |k,v| v.size > 4 }.map {|k,v| [k, v.map(&:last).mean.round(2), v.size]}.sort_by {|k,v,p| -v}.last(15)
=> [["Grid Coverage", 7.83, 6],
 ["Follow", 7.8, 5],
 ["Sudden Death Ending", 7.8, 5],
 ["Network and Route Building", 7.8, 5],
 ["Bingo", 7.78, 9],
 ["Layering", 7.67, 6],
 ["Narrative Choice / Paragraph", 7.67, 6],
 ["Set Collection", 7.67, 48],
 ["Re-rolling and Locking", 7.64, 11],
 ["Area Movement", 7.64, 11],
 ["Worker Placement with Dice Workers", 7.63, 8],
 ["Square Grid", 7.63, 8],
 ["Secret Unit Deployment", 7.6, 5],
 ["Auction/Bidding", 7.56, 9],
 ["Ladder Climbing", 7.2, 5]]
[4] pry(#<Context>)> u.owned.map(&:rating).select { |r| r.to_i > 0 }.flat_map { |r| r.item.categories.map { |m| [m, r.to_i]}}.group_by {|k,v|k}.select { |k,v| v.size > 4 }.map {|k,v| [k, v.map(&:last).mean.round(2), v.size]}.sort_by {|k,v,p| -v}.first(15)
=> [["World War II", 8.42, 12],
 ["Political", 8.4, 5],
 ["Movies / TV / Radio theme", 8.29, 7],
 ["Space Exploration", 8.25, 8],
 ["Industry / Manufacturing", 8.2, 5],
 ["Fighting", 8.17, 29],
 ["Wargame", 8.15, 20],
 ["Mythology", 8.14, 7],
 ["Adventure", 8.11, 35],
 ["Horror", 8.09, 11],
 ["Territory Building", 8.08, 13],
 ["Ancient", 8.07, 14],
 ["Miniatures", 8.06, 16],
 ["Science Fiction", 8.03, 31],
 ["Economic", 8.0, 19]]
[5] pry(#<Context>)> u.owned.map(&:rating).select { |r| r.to_i > 0 }.flat_map { |r| r.item.categories.map { |m| [m, r.to_i]}}.group_by {|k,v|k}.select { |k,v| v.size > 4 }.map {|k,v| [k, v.map(&:last).mean.round(2), v.size]}.sort_by {|k,v,p| -v}.last(15)
=> [["Civilization", 7.9, 10],
 ["Dice", 7.89, 37],
 ["Puzzle", 7.88, 8],
 ["Fantasy", 7.88, 59],
 ["Nautical", 7.87, 15],
 ["Novel-based", 7.86, 7],
 ["Animals", 7.84, 19],
 ["Deduction", 7.8, 5],
 ["Card Game", 7.74, 102],
 ["Zombies", 7.67, 6],
 ["Print & Play", 7.65, 17],
 ["Humor", 7.4, 5],
 ["Abstract Strategy", 7.17, 6],
 ["Party Game", 7.0, 6],
 ["Video Game Theme", 7.0, 5]]
[6] pry(#<Context>)> u.owned.map(&:rating).select { |r| r.to_i > 0 }.map(&:to_i).mean.round(2)
=> 7.84
[7] pry(#<Context>)> u.owned.select(&:played?).map { |n| n.plays.size }.mean
=> 2.4301075268817205
[8] pry(#<Context>)> u.rated.flat_map { |g| g.item.description.split.map { |word| [word.downcase.gsub(/[^\w\d]/, ''), g.rating.to_i] }.uniq }.group_by { |word, rating| word }.transform_values {|vs| [vs.map(&:last).mean.round(2), vs.size]}.select { |k, (a,b)| b > 5 }.sort_by { |k, (a,b)| -a }.first(20)
=> [["bosses", [8.29, 7]],
 ["playable", [8.17, 6]],
 ["harbor", [8.17, 6]],
 ["narrative", [8.14, 7]],
 ["hostile", [8.13, 8]],
 ["changing", [8.13, 8]],
 ["period", [8.1, 10]],
 ["swords", [8.09, 11]],
 ["behind", [8.0, 11]],
 ["depths", [8.0, 7]],
 ["interesting", [8.0, 7]],
 ["occurs", [8.0, 7]],
 ["eg", [8.0, 8]],
 ["targets", [8.0, 7]],
 ["rome", [8.0, 8]],
 ["alliance", [8.0, 6]],
 ["snow", [8.0, 6]],
 ["navigate", [8.0, 7]],
 ["shared", [8.0, 8]],
 ["normandy", [8.0, 6]]]
[9] pry(#<Context>)> u.owned.select(&:rated?).flat_map { |g| g.item.description.split.map { |word| [word.downcase.gsub(/[^\w\d]/, ''), g.rating.to_i] }.uniq }.group_by { |word, rating| word }.transform_values {|vs| [vs.map(&:last).mean.round(2), vs.size]}.select { |k, (a,b)| b > 2 }.sort_by { |k, (a,b)| -a }.first(20)
=> [["famous", [8.75, 4]],
 ["tackle", [8.75, 4]],
 ["monstrous", [8.67, 3]],
 ["manipulate", [8.67, 3]],
 ["unfolds", [8.67, 3]],
 ["becoming", [8.67, 3]],
 ["courage", [8.67, 3]],
 ["purchasing", [8.67, 3]],
 ["valor", [8.67, 3]],
 ["invites", [8.67, 3]],
 ["driven", [8.67, 3]],
 ["almost", [8.67, 3]],
 ["division", [8.67, 3]],
 ["desert", [8.67, 3]],
 ["streets", [8.67, 3]],
 ["broken", [8.67, 3]],
 ["currently", [8.67, 3]],
 ["surprises", [8.67, 3]],
 ["ai", [8.67, 3]],
 ["adapt", [8.67, 3]]]
[10] pry(#<Context>)> u.owned.select(&:rated?).map { |g| [g.rating.to_i, g.plays.size] }.group_by {|a,b| a}.map { |k,v| [k, v.map(&:last)] }.map {|k,v| [k, v.mean.round(2)]}.sort_by {|a,b| a}
=> [[5.0, 1.0], [6.0, 0.25], [7.0, 1.03], [8.0, 1.81], [9.0, 3.58]]
[11] pry(#<Context>)> u.owned.select(&:rated?).select(&:played?).map { |g| [g.rating.to_i, g.plays.size] }.group_by {|a,b| a}.map { |k,v| [k, v.map(&:last)] }.map {|k,v| [k, v.mean.round(2)]}.sort_by {|a,b| a}
=> [[5.0, 1.0], [6.0, 1.0], [7.0, 1.69], [8.0, 2.38], [9.0, 4.21]]
[12] pry(#<Context>)> u.rated.map { |g| [g.rating.to_i, g.plays.size] }.group_by {|a,b| a}.map { |k,v| [k, v.map(&:last)] }.map {|k,v| [k, v.mean.round(2)]}.sort_by {|a,b| a}
=> [[2.0, 0.0], [3.0, 0.25], [4.0, 0.14], [5.0, 0.03], [6.0, 0.11], [7.0, 0.69], [8.0, 1.59], [9.0, 3.5]]
[13] pry(#<Context>)> u.rated.select(&:played?).map { |g| [g.rating.to_i, g.plays.size] }.group_by {|a,b| a}.map { |k,v| [k, v.map(&:last)] }.map {|k,v| [k, v.mean.round(2)]}.sort_by {|a,b| a}
=> [[3.0, 1.0], [4.0, 1.0], [5.0, 1.0], [6.0, 1.0], [7.0, 1.67], [8.0, 2.32], [9.0, 4.1]]
[14] pry(#<Context>)> u.owned.sort_by { |g| g.item.rank }.map { |g| [g.rating.to_i, g.item.rank, g.item.name] }.group_by_and_repack { |a,b,c| [a, [b,c]] }.transform_values(&:last).sort_by(&:first).reverse
=> [[9.0, [11010, "Genshin Tarot: The Fan Made Genshin Impact Board Game"]],
 [8.0, [13393, "Dungeon Date"]],
 [7.0, [11460, "The Lucky Seven"]],
 [6.0, [15768, "Bermuda Triangle"]],
 [5.0, [16233, "Counter Warfare: The Surprisingly Strategic Party Royale"]],
 [0.0, [20410, "APBA Soccer"]]]
[15] pry(#<Context>)> u.owned.sort_by { |g| -g.item.avg_rating }.map { |g| [g.rating.to_i, g.item.avg_rating, g.item.name] }.group_by_and_repack { |a,b,c| [a, [b,c]] }.transform_values(&:last).sort_by(&:first).reverse
=> [[9.0, [6.83594, "Incan Gold"]],
 [8.0, [6.17382, "Unbroken"]],
 [7.0, [5.63639, "Mastermind"]],
 [6.0, [5.63135, "Bermuda Triangle"]],
 [5.0, [7.20732, "Counter Warfare: The Surprisingly Strategic Party Royale"]],
 [0.0, [5.14286, "Pestilence"]]]
[16] pry(#<Context>)> u.owned.sort_by { |g| -g.item.num_ratings }.map { |g| [g.rating.to_i, g.item.num_ratings, g.item.name] }.group_by_and_repack { |a,b,c| [a, [b,c]] }.transform_values(&:last).sort_by(&:first).reverse
=> [[9.0, [57, "Genshin Tarot: The Fan Made Genshin Impact Board Game"]],
 [8.0, [3, "Tetralchemia"]],
 [7.0, [7, "Scribbly Gum: Print at Home Edition"]],
 [6.0, [755, "Beacon Patrol"]],
 [5.0, [41, "Counter Warfare: The Surprisingly Strategic Party Royale"]],
 [0.0, [1, "Outbreak on Hypatia"]]]
[17] pry(#<Context>)> u.owned.sort_by { |g| g.item.num_want - g.item.num_for_trade }.map { |g| [g.rating.to_i, g.item.num_want - g.item.num_for_trade, g.item.name] }.group_by_and_repack { |a,b,c| [a, [b,c]] }.transform_values(&:last).sort_by(&:first).reverse
=> [[9.0, [1166, "Terraforming Mars"]],
 [8.0, [1357, "Heat: Pedal to the Metal"]],
 [7.0, [534, "Clank! Legacy: Acquisitions Incorporated"]],
 [6.0, [50, "Beacon Patrol"]],
 [5.0, [-3, "Counter Warfare: The Surprisingly Strategic Party Royale"]],
 [0.0, [709, "Ark Nova"]]]
[18] pry(#<Context>)> u.owned.sort_by { |g| - (g.item.num_want - g.item.num_for_trade) }.map { |g| [g.rating.to_i, - (g.item.num_want - g.item.num_for_trade), g.item.name] }.group_by_and_repack { |a,b,c| [a, [b,c]] }.transform_values(&:last).sort_by(&:first).reverse
=> [[9.0, [456, "Gloomhaven: Jaws of the Lion"]],
 [8.0, [854, "A Game of Thrones: The Board Game (Second Edition)"]],
 [7.0, [1434, "Dominion"]],
 [6.0, [1430, "The Resistance"]],
 [5.0, [3, "Counter Warfare: The Surprisingly Strategic Party Royale"]],
 [0.0, [435, "Cry Havoc"]]]
[19] pry(#<Context>)> u.owned.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 1}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Country: / }
=> [["Country: Norway", [8.5, 2]],
 ["Country: Soviet Union", [8.5, 2]],
 ["Country: Italy", [8.33, 3]],
 ["Country: China", [8.0, 2]],
 ["Country: France", [5.44, 9]],
 ["Country: Great Britain", [5.33, 3]],
 ["Country: Greece", [5.33, 3]],
 ["Country: United Kingdom", [4.5, 2]],
 ["Country: Belgium", [4.5, 2]],
 ["Country: USA", [4.0, 6]],
 ["Country: Japan", [3.45, 11]],
 ["Country: Germany", [3.3, 10]],
 ["Country: Spain", [2.67, 3]],
 ["Country: England", [0.0, 2]]]
[20] pry(#<Context>)> u.rated.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 1}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Animals: / }
=> [["Animals: Owls", [8.0, 2]],
 ["Animals: Birds", [8.0, 3]],
 ["Animals: Eagles", [8.0, 2]],
 ["Animals: Squirrels", [8.0, 2]],
 ["Animals: Raccoons", [8.0, 2]],
 ["Animals: Rabbits", [8.0, 2]],
 ["Animals: Hedgehogs / Porcupines", [8.0, 2]],
 ["Animals: Foxes", [7.8, 5]],
 ["Animals: Cattle / Cows", [7.5, 2]],
 ["Animals: Fish / Fishes", [7.38, 8]],
 ["Animals: Mice", [7.33, 3]],
 ["Animals: Sheep", [7.0, 2]],
 ["Animals: Sharks", [7.0, 2]],
 ["Animals: Crabs", [7.0, 2]],
 ["Animals: Dogs", [7.0, 2]],
 ["Animals: Cats", [6.8, 5]],
 ["Animals: Insects", [6.5, 2]]]
[21] pry(#<Context>)> u.rated.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Country: / }
=> [["Country: Egypt", [8.0, 3]],
 ["Country: Soviet Union", [8.0, 3]],
 ["Country: Germany", [7.56, 9]],
 ["Country: Greece", [7.5, 4]],
 ["Country: Italy", [7.5, 6]],
 ["Country: France", [7.46, 13]],
 ["Country: USA", [7.18, 11]],
 ["Country: Japan", [7.1, 10]],
 ["Country: Portugal", [7.0, 3]],
 ["Country: China", [7.0, 4]],
 ["Country: England", [6.67, 3]]]
[22] pry(#<Context>)> u.rated.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Creatures: / }
=> [["Creatures: Goblins", [8.0, 5]],
 ["Creatures: Aliens / Extraterrestrials", [7.86, 7]],
 ["Creatures: Dragons", [7.45, 11]],
 ["Creatures: Monsters", [7.25, 20]],
 ["Creatures: Zombies", [7.0, 8]],
 ["Creatures: Fairies / Elves / Pixies", [6.33, 3]],
 ["Creatures: Werewolves", [5.67, 3]]]
[23] pry(#<Context>)> u.rated.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 4}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Series: / }
=> [["Series: Bookshelf (Gryphon Games)", [7.8, 5]]]
[24] pry(#<Context>)> u.rated.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -m}.select { |k, _| k =~ /Theme: / }
=> [["Theme: Under the Sea", [7.8, 5]],
 ["Theme: Vikings", [7.75, 4]],
 ["Theme: City", [7.75, 4]],
 ["Theme: Post-Apocalyptic", [7.65, 20]],
 ["Theme: Anthropomorphic Animals", [7.64, 11]],
 ["Theme: Construction", [7.5, 6]],
 ["Theme: Superheroes", [7.43, 7]],
 ["Theme: Nature", [7.4, 15]],
 ["Theme: Boss Battle", [7.33, 9]],
 ["Theme: Trees and Forests", [7.25, 4]],
 ["Theme: Gardening", [7.25, 4]],
 ["Theme: Art", [7.2, 5]],
 ["Theme: Colonial", [7.17, 6]],
 ["Theme: Pirates", [7.17, 6]],
 ["Theme: Anime / Manga", [7.14, 7]],
 ["Theme: Food / Cooking", [7.0, 8]],
 ["Theme: Chibis", [7.0, 4]],
 ["Theme: Witches", [7.0, 4]],
 ["Theme: Villainy", [6.86, 7]],
 ["Theme: Science", [6.83, 6]],
 ["Theme: Books / Libraries", [6.83, 6]],
 ["Theme: Retro", [6.5, 8]]]
[25] pry(#<Context>)> u.owned.flat_map { |g| g.item.families.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 1}.sort_by {|_, (m, c)| -c}.select { |k, _| k =~ /Theme: / }
=> [["Theme: Post-Apocalyptic", [6.06, 17]],
 ["Theme: Anthropomorphic Animals", [5.25, 12]],
 ["Theme: Nature", [4.91, 11]],
 ["Theme: Boss Battle", [5.67, 9]],
 ["Theme: Books / Libraries", [4.14, 7]],
 ["Theme: Food / Cooking", [6.33, 6]],
 ["Theme: Pirates", [4.8, 5]],
 ["Theme: Superheroes", [5.0, 5]],
 ["Theme: Anime / Manga", [5.0, 5]],
 ["Theme: Trees and Forests", [3.0, 5]],
 ["Theme: Retro", [1.75, 4]],
 ["Theme: Construction", [6.0, 4]],
 ["Theme: Survival", [4.0, 4]],
 ["Theme: Gardening", [5.5, 4]],
 ["Theme: Under the Sea", [6.0, 4]],
 ["Theme: Siege", [4.25, 4]],
 ["Theme: Flowers", [2.33, 3]],
 ["Theme: Tropical", [7.67, 3]],
 ["Theme: Villainy", [8.0, 3]],
 ["Theme: Tropical Islands", [5.33, 3]],
 ["Theme: Fishing / Angling", [5.33, 3]],
 ["Theme: Science", [5.67, 3]],
 ["Theme: Witches", [7.33, 3]],
 ["Theme: Love / Romance", [2.67, 3]],
 ["Theme: Colonial", [7.67, 3]],
 ["Theme: City", [8.0, 3]],
 ["Theme: Time Travel", [4.0, 2]],
 ["Theme: Zoos, Aquaria, Safari Parks", [0.0, 2]],
 ["Theme: Alchemy", [3.5, 2]],
 ["Theme: Art", [7.5, 2]],
 ["Theme: Submarines", [4.5, 2]],
 ["Theme: Vikings", [8.0, 2]],
 ["Video Game Theme: Bloodborne", [3.5, 2]],
 ["Theme: Circus", [4.0, 2]],
 ["Theme: Cacti and Succulents", [3.5, 2]],
 ["Theme: Archaeology / Paleontology", [8.5, 2]],
 ["Theme: Chibis", [8.0, 2]],
 ["Theme: Camping", [7.5, 2]]]
[26] pry(#<Context>)> u.rated.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 4}.sort_by {|_, (m, c)| -m}
=> [[2022, [7.97, 39]],
 [2020, [7.71, 31]],
 [2021, [7.65, 37]],
 [2023, [7.59, 34]],
 [2019, [7.3, 47]],
 [2016, [7.06, 32]],
 [2018, [7.04, 47]],
 [2017, [7.02, 51]],
 [2013, [6.88, 16]],
 [2011, [6.8, 10]],
 [2012, [6.77, 13]],
 [2014, [6.35, 17]],
 [2015, [6.25, 20]],
 [2004, [6.2, 5]],
 [2008, [5.0, 5]]]
[27] pry(#<Context>)> u.owned.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -m}
=> [[2017, [6.5, 24]],
 [2018, [6.16, 25]],
 [2016, [5.87, 15]],
 [2020, [5.33, 33]],
 [2015, [5.13, 8]],
 [2019, [5.05, 41]],
 [2011, [5.0, 5]],
 [2014, [4.44, 9]],
 [2022, [4.24, 70]],
 [2023, [4.1, 62]],
 [2021, [4.06, 51]],
 [2012, [4.0, 4]],
 [2024, [3.56, 9]],
 [2013, [3.33, 12]]]
[28] pry(#<Context>)> u.owned.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -c}
=> [[2022, [4.24, 70]],
 [2023, [4.1, 62]],
 [2021, [4.06, 51]],
 [2019, [5.05, 41]],
 [2020, [5.33, 33]],
 [2018, [6.16, 25]],
 [2017, [6.5, 24]],
 [2016, [5.87, 15]],
 [2013, [3.33, 12]],
 [2014, [4.44, 9]],
 [2024, [3.56, 9]],
 [2015, [5.13, 8]],
 [2011, [5.0, 5]],
 [2012, [4.0, 4]],
 [1981, [0.0, 3]]]
[29] pry(#<Context>)> u.rated.select { |g| g.rating.to_i > 5 }.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -c}
=> [[2019, [7.4, 45]],
 [2017, [7.31, 45]],
 [2018, [7.23, 43]],
 [2022, [7.97, 39]],
 [2021, [7.65, 37]],
 [2023, [7.78, 32]],
 [2020, [7.71, 31]],
 [2016, [7.31, 29]],
 [2015, [7.0, 14]],
 [2013, [7.31, 13]],
 [2012, [6.77, 13]],
 [2014, [7.18, 11]],
 [2011, [7.0, 9]],
 [2004, [6.75, 4]],
 [2024, [8.0, 4]]]
[30] pry(#<Context>)> u.rated.select { |g| g.rating.to_i > 6 }.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -c}
=> [[2019, [7.54, 41]],
 [2022, [7.97, 39]],
 [2017, [7.59, 37]],
 [2021, [7.74, 35]],
 [2018, [7.56, 34]],
 [2023, [7.84, 31]],
 [2020, [7.77, 30]],
 [2016, [7.58, 24]],
 [2013, [7.55, 11]],
 [2012, [7.25, 8]],
 [2015, [7.75, 8]],
 [2014, [7.86, 7]],
 [2011, [7.8, 5]],
 [2024, [8.0, 4]]]
[31] pry(#<Context>)> u.rated.select { |g| g.rating.to_i > 7 }.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -c}
=> [[2022, [8.19, 32]], [2021, [8.18, 22]], [2023, [8.18, 22]], [2019, [8.05, 21]], [2017, [8.1, 20]], [2020, [8.28, 18]], [2018, [8.12, 17]], [2016, [8.4, 10]], [2013, [8.0, 6]], [2014, [8.2, 5]], [2015, [8.2, 5]]]
[32] pry(#<Context>)> u.rated.select { |g| g.rating.to_i > 8 }.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 3}.sort_by {|_, (m, c)| -c}
=> [[2022, [9.0, 6]], [2020, [9.0, 5]], [2023, [9.0, 4]], [2021, [9.0, 4]], [2016, [9.0, 4]]]
[33] pry(#<Context>)> u.rated.select { |g| g.rating.to_i > 8 }.map { |g| [g.item.yearpublished, g.rating.to_i] }.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -c}
=> [[2022, [9.0, 6]], [2020, [9.0, 5]], [2023, [9.0, 4]], [2021, [9.0, 4]], [2016, [9.0, 4]]]
[34] pry(#<Context>)> u.rated.flat_map { |g| g.item.designers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -m}.first(10)
=> [["David Thompson (I)", [8.38, 8]],
 ["Trevor Benjamin", [8.17, 6]],
 ["Jamey Stegmaier", [7.5, 6]],
 ["Bruno Cathala", [7.29, 7]],
 ["Ben Pinchback", [7.17, 6]],
 ["Matt Riddle", [7.17, 6]],
 ["(Uncredited)", [7.09, 11]],
 ["Eric M. Lang", [7.0, 7]],
 ["Antoine Bauza", [6.71, 7]]]
[35] pry(#<Context>)> u.rated.flat_map { |g| g.item.designers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -c}.first(10)
=> [["(Uncredited)", [7.09, 11]],
 ["David Thompson (I)", [8.38, 8]],
 ["Eric M. Lang", [7.0, 7]],
 ["Antoine Bauza", [6.71, 7]],
 ["Bruno Cathala", [7.29, 7]],
 ["Ben Pinchback", [7.17, 6]],
 ["Matt Riddle", [7.17, 6]],
 ["Jamey Stegmaier", [7.5, 6]],
 ["Trevor Benjamin", [8.17, 6]]]
[36] pry(#<Context>)> u.owned.flat_map { |g| g.item.designers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -m}.first(10)
=> [["Paul Dennen", [8.5, 4]],
 ["Jacob Fryxelius", [8.33, 3]],
 ["Stefan Feld", [8.33, 3]],
 ["Isaac Childres", [8.33, 3]],
 ["Geoff Engelstein", [8.25, 4]],
 ["Jamey Stegmaier", [8.0, 4]],
 ["Shem Phillips", [8.0, 3]],
 ["Jason Glover", [7.75, 4]],
 ["Steven Aramini", [7.25, 4]],
 ["Phil Walker-Harding", [7.25, 4]]]
[37] pry(#<Context>)> u.rated.flat_map { |g| g.item.publishers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -m}.first(10)
=> [["Fox in the Box", [8.14, 7]],
 ["Giant Roc", [8.13, 8]],
 ["Don't Panic Games", [8.0, 6]],
 ["Dan Verssen Games (DVG)", [8.0, 7]],
 ["MeepleBR", [7.85, 13]],
 ["株式会社ケンビル (KenBill)", [7.83, 6]],
 ["Surfin' Meeple China", [7.82, 11]],
 ["YOKA Games", [7.78, 9]],
 ["Feuerland Spiele", [7.75, 12]],
 ["Lucrum Games", [7.75, 8]]]
[38] pry(#<Context>)> u.rated.flat_map { |g| g.item.publishers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -m}.last(10)
=> [["Lifestyle Boardgames Ltd", [6.39, 23]],
 ["(Web published)", [6.36, 11]],
 ["Smart Ltd", [6.29, 7]],
 ["Bureau de Juegos", [6.22, 9]],
 ["uplay.it edizioni", [6.09, 11]],
 ["Enigma (Bergsala Enigma)", [6.0, 13]],
 ["Nordic Games GmbH", [5.83, 6]],
 ["Wargames Club Publishing", [5.71, 7]],
 ["Boardgame Space", [5.63, 8]],
 ["Buró", [5.5, 6]]]
[39] pry(#<Context>)> u.owned.flat_map { |g| g.item.publishers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -m}.first(10)
=> [["Surfin' Meeple China", [8.33, 6]],
 ["Stronghold Games", [7.86, 7]],
 ["Lex Games", [7.71, 7]],
 ["Arclight Games", [7.58, 26]],
 ["CrowD Games", [7.36, 11]],
 ["Lord of Boards", [7.36, 11]],
 ["MIPL", [7.33, 15]],
 ["Renegade Game Studios", [7.31, 16]],
 ["Schwerkraft-Verlag", [7.14, 21]],
 ["Swan Panasia Co., Ltd.", [7.07, 14]]]
[40] pry(#<Context>)> u.owned.flat_map { |g| g.item.publishers.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 5}.sort_by {|_, (m, c)| -m}.last(10)
=> [["Parker Brothers", [3.83, 6]],
 ["AMIGO", [3.5, 8]],
 ["Pandasaurus Games", [3.5, 6]],
 ["(Web published)", [3.45, 11]],
 ["Zvezda", [3.43, 7]],
 ["Board Game Rookie", [3.43, 7]],
 ["Eagle-Gryphon Games", [3.1, 10]],
 ["GMT Games", [3.0, 6]],
 ["Fractal Juegos", [3.0, 7]],
 ["New Mill Industries", [1.33, 6]]]
[41] pry(#<Context>)> u.owned.flat_map { |g| g.item.artists.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -c}.first(10)
=> [["Beth Sobel", [5.57, 7]],
 ["Mihajlo Dimitrievski", [6.5, 6]],
 ["Dennis Lohausen", [6.33, 6]],
 ["Franz Vohwinkel", [3.67, 6]],
 ["Henning Ludvigsen", [4.8, 5]],
 ["別府さい (Sai Beppu)", [3.4, 5]],
 ["Lina Cossette", [8.0, 5]],
 ["Chris Quilliams", [5.5, 4]],
 ["Kwanchai Moriya", [3.75, 4]],
 ["Oliver Freudenreich", [3.5, 4]]]
[42] pry(#<Context>)> u.owned.flat_map { |g| g.item.artists.map { |f| [f, g.rating.to_i] }}.group_by_and_repack { |f, r| [f, r] }.transform_values { |rs| [rs.mean.round(2), rs.count] }.select { |_, (m, c)| c > 2}.sort_by {|_, (m, c)| -m}.first(10)
=> [["Nate Storm", [8.5, 4]],
 ["Anthony Cournoyer", [8.33, 3]],
 ["Raul Ramos", [8.33, 3]],
 ["Clay Brooks", [8.33, 3]],
 ["Damien Mammoliti", [8.25, 4]],
 ["Jason D. Kingsley", [8.0, 3]],
 ["Sam Phillips", [8.0, 3]],
 ["Claus Stephan", [8.0, 3]],
 ["Lina Cossette", [8.0, 5]],
 ["David Forest", [8.0, 3]]]