├── Amazon_Books_Dashboard ├── Top-100 Trending Books.csv ├── app.R └── customer reviews.csv ├── Banana_Quality ├── Classification_Gaussian_mixture_models.ipynb └── data │ └── banana_quality.csv ├── Coffee_quality ├── coffe_pca_and_cluster.ipynb └── data │ └── df_arabica_clean.csv ├── Expectation_Maximization ├── EM.R └── Gaussian_mixtures_K_means.R ├── Genetic_algorithm └── Genetic_algorithm.ipynb ├── Particle_Swarm_Optimization_PSO └── Particle_Swarm_Optimization_PSO.ipynb ├── Traveling_Salesman_Problem └── TSP.R ├── Water Quality and Potability ├── Temporal.txt ├── Water_Quality_and_Potability.ipynb └── data │ └── water_potability.csv ├── news_analysis ├── Correlation_copula.R ├── Data │ ├── Economic_news.csv │ ├── Embedding.csv │ ├── Sentiment.csv │ └── te.txt └── web_scraping │ └── Scrapy_Economista.py └── text_summaries ├── Model.R ├── Resultados.Rmd ├── Resultados.pdf └── data ├── summaries_train.csv └── temporal.txt /Amazon_Books_Dashboard/Top-100 Trending Books.csv: -------------------------------------------------------------------------------- 1 | Rank,book title,book price,rating,author,year of publication,genre,url 2 | 1,"Iron Flame (The Empyrean, 2)",18.42,4.1,Rebecca Yarros,2023,Fantasy Romance,amazon.com/Iron-Flame-Empyrean-Rebecca-Yarros/dp/1649374178/ref=zg_bs_g_books_sccl_1/143-9831347-1043253?psc=1 3 | 2,The Woman in Me,20.93,4.5,Britney Spears,2023,Memoir,amazon.com/Woman-Me-Britney-Spears/dp/1668009048/ref=zg_bs_g_books_sccl_2/143-9831347-1043253?psc=1 4 | 3,My Name Is Barbra,31.5,4.5,Barbra Streisand,2023,Autobiography,amazon.com/My-Name-Barbra-Streisand/dp/0525429522/ref=zg_bs_g_books_sccl_3/143-9831347-1043253?psc=1 5 | 4,"Friends, Lovers, and the Big Terrible Thing: A Memoir",23.99,4.4,Matthew Perry,2023,Memoir,amazon.com/Friends-Lovers-Big-Terrible-Thing/dp/1250866448/ref=zg_bs_g_books_sccl_4/143-9831347-1043253?psc=1 6 | 5,How to Catch a Turkey,5.65,4.8,Adam Wallace,2018,"Childrens, Fiction",amazon.com/How-Catch-Turkey-Adam-Wallace/dp/1492664359/ref=zg_bs_g_books_sccl_5/143-9831347-1043253?psc=1 7 | 6,"Fourth Wing (The Empyrean, 1)",16.99,4.8,Rebecca Yarros,2023,Fantasy,amazon.com/Fourth-Wing-Empyrean-Rebecca-Yarros/dp/1649374046/ref=zg_bs_g_books_sccl_6/143-9831347-1043253?psc=1 8 | 7,Unwoke: How to Defeat Cultural Marxism in America,27.43,4.3,Unknown,2023,"Nonfiction, Politics",amazon.com/Unwoke-Defeat-Cultural-Marxism-America/dp/1684513626/ref=zg_bs_g_books_sccl_7/143-9831347-1043253?psc=1 9 | 8,No Brainer (Diary of a Wimpy Kid Book 18),8.55,4.8,Jeff Kinney,2023,"Humor, Middle Grade",amazon.com/Brainer-Diary-Wimpy-Kid-Book/dp/1419766945/ref=zg_bs_g_books_sccl_8/143-9831347-1043253?psc=1 10 | 9,Killers of the Flower Moon: The Osage Murders and the Birth of the FBI,9.86,4.4,David Grann,2017,"Nonfiction, True Crime",amazon.com/Killers-Flower-Moon-Osage-Murders/dp/0307742482/ref=zg_bs_g_books_sccl_9/143-9831347-1043253?psc=1 11 | 10,All the Light We Cannot See: A Novel,11.98,4.5,Anthony Doerr,2014,Historical Fiction,amazon.com/All-Light-We-Cannot-See/dp/1501173219/ref=zg_bs_g_books_sccl_10/143-9831347-1043253?psc=1 12 | 11,The Ballad of Songbirds and Snakes (A Hunger Games Novel) (The Hunger Games),10.99,4.6,Suzanne Collins,2020,"Adventure, War, Science fiction, Romance, Action, Thriller",amazon.com/Ballad-Songbirds-Snakes-Hunger-Games/dp/1339016575/ref=zg_bs_g_books_sccl_11/143-9831347-1043253?psc=1 13 | 12,Night (Night),6.26,4.7,Elie Wiesel,1960,Memoir,amazon.com/Night-Elie-Wiesel/dp/0374500010/ref=zg_bs_g_books_sccl_12/143-9831347-1043253?psc=1 14 | 13,Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones,13.79,4.8,James Clear,2018,"Self-improvement, Nonfiction",amazon.com/Atomic-Habits-Proven-Build-Break/dp/0735211299/ref=zg_bs_g_books_sccl_13/143-9831347-1043253?psc=1 15 | 14,Stocking Stuffer Mad Libs: World's Greatest Word Game,2.79,4.8,Leigh Olsen,2018,"Childrens, Storytime,Fiction",amazon.com/Stocking-Stuffer-Libs-Leigh-Olsen/dp/1524788139/ref=zg_bs_g_books_sccl_14/143-9831347-1043253?psc=1 16 | 15,The 48 Laws of Power,13.82,4.7,Robert Greene,1998,Nonfiction,amazon.com/48-Laws-Power-Robert-Greene/dp/0140280197/ref=zg_bs_g_books_sccl_15/143-9831347-1043253?psc=1 17 | 16,The Great Disappearance: 31 Ways to be Rapture Ready,18.84,4.6,David Jeremiah,2023,"Spiritual Warfare, Biblical Studies - Prophecy, Christian Theology - Eschatology",amazon.com/Great-Disappearance-Ways-Rapture-Ready/dp/078525224X/ref=zg_bs_g_books_sccl_16/143-9831347-1043253?psc=1 18 | 17,Lessons in Chemistry: A Novel,15.37,4.6,Bonnie Garmus,2022,"Fiction, Historical Fiction",amazon.com/Lessons-Chemistry-Novel-Bonnie-Garmus/dp/038554734X/ref=zg_bs_g_books_sccl_17/143-9831347-1043253?psc=1 19 | 18,The Exchange: After The Firm (The Firm Series),18.96,4.1,John Grisham,2023,"Literary, Thrillers - Suspense",amazon.com/Exchange-After-Firm/dp/0385548958/ref=zg_bs_g_books_sccl_18/143-9831347-1043253?psc=1 20 | 19,Taylor Swift: A Little Golden Book Biography,4.78,4.9, Wendy Loggia,2023,"Picture Books, Biography",amazon.com/Taylor-Swift-Little-Golden-Biography/dp/0593566718/ref=zg_bs_g_books_sccl_19/143-9831347-1043253?psc=1 21 | 20,Don't Let the Pigeon Drive the Sleigh!,11.99,4.8,Mo Willems,2023,"Picture Books, Christmas, Holiday, Humor, Childrens, Fiction, Animals",amazon.com/Dont-Let-Pigeon-Drive-Sleigh/dp/1454952776/ref=zg_bs_g_books_sccl_20/143-9831347-1043253?psc=1 22 | 21,Turkey Trouble,8.79,4.8,Wendi Silvano,2009,"Picture Books, Childrens, Holiday, Animals, Humor, Storytime, Fiction",amazon.com/Turkey-Trouble-Wendi-Silvano/dp/0761455299/ref=zg_bs_g_books_sccl_21/143-9831347-1043253?psc=1 23 | 22,"The Body Keeps the Score: Brain, Mind, and Body in the Healing of Trauma",9.68,4.8,Bessel van der Kolk,2014,"Nonfiction, Psychology, Self Help, Mental Health, Health, Science",amazon.com/Body-Keeps-Score-Healing-Trauma/dp/0143127748/ref=zg_bs_g_books_sccl_22/143-9831347-1043253?psc=1 24 | 23,"A Court of Thorns and Roses (A Court of Thorns and Roses, 1)",8.89,4.6,Sarah J. Maas,2015,"Fantasy, Romance, Young Adult, Fiction, New Adult, Fae",amazon.com/Court-Thorns-Roses-Sarah-Maas/dp/1635575567/ref=zg_bs_g_books_sccl_23/143-9831347-1043253?psc=1 25 | 24,A Little Life,11.83,4.5,Hanya Yanagihara,2015,"Fiction, Contemporary, LGBT, Literary Fiction, Queer, Adult, Mental Health",amazon.com/Little-Life-Hanya-Yanagihara/dp/0804172706/ref=zg_bs_g_books_sccl_24/143-9831347-1043253?psc=1 26 | 25,"House of Flame and Shadow (Crescent City, 3)",18.48,,Sarah J. Maas,2023,"Fantasy, Dragons, Young Adult, Fiction, High Fantasy, Magic, Science Fiction, Fantasy",amazon.com/House-Flame-Shadow-Crescent-City/dp/1635574102/ref=zg_bs_g_books_sccl_25/143-9831347-1043253?psc=1 27 | 26,"World of Eric Carle, Around the Farm 30-Button Animal Sound Book - Great for First Words - PI Kids",9.43,4.8,Editors of Publications International,2013,"Childrens, Activities, Crafts, Games",amazon.com/World-Carle-Around-Play-Sound/dp/1450805752/ref=zg_bs_g_books_sccl_26/143-9831347-1043253?psc=1 28 | 27,"Goodnight, Goodnight Construction Site (Board Book for Toddlers, Children's Board Book)",3.78,4.9,Sherri Duskey Rinker,2011,"Picture Book, Cars and Trucks",amazon.com/Goodnight-Construction-Sherri-Duskey-Rinker/dp/1452111731/ref=zg_bs_g_books_sccl_27/143-9831347-1043253?psc=1 29 | 28,The Leaf Thief: (The Perfect Fall Book for Children and Toddlers),10.39,4.8,Alice Hemming,2021,Childrens,amazon.com/Leaf-Thief-Alice-Hemming/dp/1728235200/ref=zg_bs_g_books_sccl_28/143-9831347-1043253?psc=1 30 | 29,Murtagh: The World of Eragon (The Inheritance Cycle),22.48,4.8,Christopher Paolini,2023,"Fantasy, Dragons, Young Adult, Fiction, High Fantasy, Magic, Science Fiction, Fantasy",amazon.com/Murtagh-World-Eragon-Inheritance-Cycle/dp/0593650867/ref=zg_bs_g_books_sccl_29/143-9831347-1043253?psc=1 31 | 30,"Brown Bear, Brown Bear, What Do You See?",4.94,4.9,Bill Martin Jr.,1967,"Picture Book, Colors, Wild Animals",amazon.com/Brown-Bear-What-You-See/dp/0805047905/ref=zg_bs_g_books_sccl_30/143-9831347-1043253?psc=1 32 | 31,Balloons over Broadway: The True Story of the Puppeteer of Macy's Parade (Bank Street College of Education Flora Stieglitz St,12.19,4.9,Bill Martin Jr.,1967,"Childrens, literature",amazon.com/Balloons-over-Broadway-Puppeteer-Education/dp/0547199457/ref=zg_bs_g_books_sccl_31/143-9831347-1043253?psc=1 33 | 32,The Four Agreements: A Practical Guide to Personal Freedom (A Toltec Wisdom Book),7.74,4.7,Melissa Sweet,2011,Picture Book,amazon.com/Four-Agreements-Practical-Personal-Freedom/dp/1878424319/ref=zg_bs_g_books_sccl_32/143-9831347-1043253?psc=1 34 | 33,The Housemaid,8.11,4.5,Don Miguel Ruiz,1997,"Spirituality, self-help, personal growth",amazon.com/Housemaid-Freida-McFadden/dp/1538742578/ref=zg_bs_g_books_sccl_33/143-9831347-1043253?psc=1 35 | 34,How to Know a Person: The Art of Seeing Others Deeply and Being Deeply Seen,19.89,4.5,Alice Walstead,2022,"Thriller, mystery, suspense",amazon.com/How-Know-Person-Seeing-Others/dp/059323006X/ref=zg_bs_g_books_sccl_34/143-9831347-1043253?psc=1 36 | 35,The Very Hungry Caterpillar,5.9,4.9,David Brooks,2023,Nonfiction,amazon.com/Very-Hungry-Caterpillar-Eric-Carle/dp/0399226907/ref=zg_bs_g_books_sccl_35/143-9831347-1043253?psc=1 37 | 36,How to Catch a Reindeer,5.99,4.8,Eric Carle,1969,"Childrens, literature",amazon.com/How-Catch-Reindeer-Alice-Walstead/dp/1728276136/ref=zg_bs_g_books_sccl_36/143-9831347-1043253?psc=1 38 | 37,Pookie's Thanksgiving (Little Pookie),6.99,4.9,Alice Walstead,2022,"Childrens, literature",amazon.com/Pookies-Thanksgiving-Little-Pookie-Boynton/dp/166592263X/ref=zg_bs_g_books_sccl_37/143-9831347-1043253?psc=1 39 | 38,"The Psychology of Money: Timeless lessons on wealth, greed, and happiness",12.68,4.7,Sandra Boynton,2022,"Picture Books, Childrens, Holiday",amazon.com/Psychology-Money-Timeless-lessons-happiness/dp/0857197681/ref=zg_bs_g_books_sccl_38/143-9831347-1043253?psc=1 40 | 39,The Seven Husbands of Evelyn Hugo: A Novel,9.49,4.6,Morgan Housel,2020,"Finance, Nonfiction, Psychology, Business, Self Help, Money, Economics",amazon.com/Seven-Husbands-Evelyn-Hugo-Novel/dp/1501161938/ref=zg_bs_g_books_sccl_39/143-9831347-1043253?psc=1 41 | 40,I Love You to the Moon and Back,4.76,4.9,Taylor Jenkins Reid,2017,Historical Fiction,amazon.com/I-Love-You-Moon-Back/dp/1589255518/ref=zg_bs_g_books_sccl_40/143-9831347-1043253?psc=1 42 | 41,Outlive: The Science and Art of Longevity,16.99,4.7,Peter Attia,2023,"Health, Nonfiction, Science, Self Help",amazon.com/Outlive-Longevity-Peter-Attia-MD/dp/0593236599/ref=zg_bs_g_books_sccl_41/143-9831347-1043253?psc=1 43 | 42,Hundred Years' War on Palestine,12.99,4.6,Rashid Khalidi,2019,"History, Nonfiction, Politics, War",amazon.com/Hundred-Years-War-Palestine-Colonialism/dp/1250787653/ref=zg_bs_g_books_sccl_42/143-9831347-1043253?psc=1 44 | 43,Little Blue Truck's Christmas: A Christmas Holiday Book for Kids,11.2,4.8,Alice Schertle,2014,"Childrens, literature",amazon.com/Little-Trucks-Christmas-Alice-Schertle/dp/0544320417/ref=zg_bs_g_books_sccl_43/143-9831347-1043253?psc=1 45 | 44,Goodnight Moon,5.36,4.9,Margaret Wise Brown,1947,"Childrens, literature",amazon.com/Goodnight-Moon-Margaret-Wise-Brown/dp/0694003611/ref=zg_bs_g_books_sccl_44/143-9831347-1043253?psc=1 46 | 45,I Am Thankful: A Thanksgiving Book for Kids,7.99,4.7,Sheri Wall,2020,"Picture Books, Childrens",amazon.com/Am-Thankful-Thanksgiving-Book-Kids/dp/1646115538/ref=zg_bs_g_books_sccl_45/143-9831347-1043253?psc=1 47 | 46,"How to Be the Love You Seek: Break Cycles, Find Peace, and Heal Your Relationships",20.11,,Nicole LePera,2023,"Self Help, Nonfiction, Mental Health, Psychology, Personal Development, Relationships",amazon.com/How-Love-You-Seek-Relationships/dp/0063267748/ref=zg_bs_g_books_sccl_46/143-9831347-1043253?psc=1 48 | 47,A Court of Thorns and Roses Paperback Box Set (5 books),48.77,4.8,Sarah J. Maas,2021,"Fantasy, Romance",amazon.com/Court-Thorns-Roses-Paperback-books/dp/1639730192/ref=zg_bs_g_books_sccl_47/143-9831347-1043253?psc=1 49 | 48,Where's Bluey?: A Search-and-Find Book,6.93,4.8, Penguin Young Readers Licenses (,2022,"Childrens, Storytime,Fiction",amazon.com/Wheres-Bluey-Search-Find-Book/dp/0593385691/ref=zg_bs_g_books_sccl_48/143-9831347-1043253?psc=1 50 | 49,The Wonderful Things You Will Be,9.4,4.9,Emily Winfield Martin,2015,"Picture Books, Childrens, Fiction, Poetry",amazon.com/Wonderful-Things-You-Will-Be/dp/0385376715/ref=zg_bs_g_books_sccl_49/143-9831347-1043253?psc=1 51 | 50,How to Catch a Dinosaur,4.66,4.8,Adam Wallace,2019,"Picture Books, Dinosaurs, Childrens, Fiction, Storytime, Fantasy, Animals",amazon.com/How-Catch-Dinosaur-Adam-Wallace/dp/1492680524/ref=zg_bs_g_books_sccl_50/143-9831347-1043253?psc=1 52 | 51,Hidden Potential: The Science of Achieving Greater Things,21,4.4,Adam M. Grant,2023,"Nonfiction, Self Help, Psychology, Business, Leadership, Personal Development",amazon.com/Hidden-Potential-Science-Achieving-Greater/dp/0593653149/ref=zg_bs_g_books_sccl_1/142-7825522-0098658?psc=1 53 | 52,Resurrection Walk (Lincoln Lawyer),20.98,5,Michael Connelly,2023,"Fiction, Mystery, Thriller, Suspense, Crime, Legal Thriller",amazon.com/Resurrection-Walk-Michael-Connelly/dp/0316563765/ref=zg_bs_g_books_sccl_2/142-7825522-0098658?psc=1 54 | 53,The Christmas Fix,9.49,4.6,Lucy Score,2017,"Christmas, Romance, Holiday, Contemporary Romance, Contemporary Fiction, Humor",amazon.com/Christmas-Fix-Lucy-Score/dp/1728295149/ref=zg_bs_g_books_sccl_3/142-7825522-0098658?psc=1 55 | 54,Flash Cards: Sight Words,2.88,4.8, Scholastic,2018,"Educational Material, Childrens",amazon.com/Flash-Cards-Scholastic-Teacher-Resources/dp/1338233580/ref=zg_bs_g_books_sccl_4/142-7825522-0098658?psc=1 56 | 55,I Love You Like No Otter: A Funny and Sweet Animal Board Book for Babies and Toddlers this Christmas (Punderland),5.37,4.9,Rose Rossner,2020,"Picture Books, Animals, Childrens, Fiction, Love, Family, Humor",amazon.com/Love-You-Like-No-Otter/dp/1728213746/ref=zg_bs_g_books_sccl_5/142-7825522-0098658?psc=1 57 | 56,Chicka Chicka Boom Boom (Board Book),4.32,4.9,"Bill Martin Jr., John Archambault",1989,"Fiction, Alphabet",amazon.com/Chicka-Boom-Board-Book/dp/1442450703/ref=zg_bs_g_books_sccl_6/142-7825522-0098658?psc=1 58 | 57,"From Crook to Cook: Platinum Recipes from Tha Boss Dogg's Kitchen (Snoop Dogg Cookbook, Celebrity Cookbook with Soul Food Rec",12.15,4.8,Snoop Dogg,2018,"Cookbooks, Cooking",amazon.com/Crook-Cook-Platinum-Recipes-Kitchen/dp/1452179611/ref=zg_bs_g_books_sccl_7/142-7825522-0098658?psc=1 59 | 58,The Shadow Work Journal: A Guide to Integrate and Transcend your Shadows,17.28,4.6,Keila Shaheen,2021,"Self Help, Psychology",amazon.com/Shadow-Work-Journal-Integrate-Transcend/dp/B09KN2QCML/ref=zg_bs_g_books_sccl_8/142-7825522-0098658?psc=1 60 | 59,"Interesting Facts For Curious Minds: 1572 Random But Mind-Blowing Facts About History, Science, Pop Culture And Everything In",12.89,4.6,Jordan Moore,2022,Nonfiction,amazon.com/Interesting-Facts-Curious-Minds-Mind-Blowing/dp/B0B6XFT4RH/ref=zg_bs_g_books_sccl_9/142-7825522-0098658?psc=1 61 | 60,There Was an Old Lady Who Swallowed a Turkey!,6.28,4.8,Lucille Colandro,2016,"Picture Books, Holiday, Childrens, Fiction, Storytime, Humor",amazon.com/There-Was-Lady-Swallowed-Turkey/dp/0545931908/ref=zg_bs_g_books_sccl_10/142-7825522-0098658?psc=1 62 | 61,Elon Musk,20.99,4.7,Walter Isaacson,2023,"Biography, Nonfiction, Business, Technology",amazon.com/Elon-Musk-Walter-Isaacson/dp/1982181281/ref=zg_bs_g_books_sccl_11/142-7825522-0098658?psc=1 63 | 62,The Complete Cookbook for Young Chefs: 100+ Recipes that You'll Love to Cook and Eat,9.97,4.8,Americas Test Kitchen Kids,2018,Cookbook,amazon.com/Complete-Cookbook-Young-Chefs/dp/1492670022/ref=zg_bs_g_books_sccl_12/142-7825522-0098658?psc=1 64 | 63,Llama Llama Gives Thanks,5.67,4.7,Anna Dewdney,2017,"Picture Books, Childrens, Holiday, Animals, Kids Fiction",amazon.com/Llama-Gives-Thanks-Anna-Dewdney/dp/110199715X/ref=zg_bs_g_books_sccl_13/142-7825522-0098658?psc=1 65 | 64,Tom Lake: A Reese's Book Club Pick,15.33,4.3,Ann Patchett,2023,"Literary, Medical, Family Life - General, World Literature - India - General",amazon.com/Tom-Lake-Novel-Ann-Patchett/dp/006332752X/ref=zg_bs_g_books_sccl_14/142-7825522-0098658?psc=1 66 | 65,The Covenant of Water (Oprah's Book Club),16.79,4.6,Abraham Verghese,2023,"Fiction, Mystery",amazon.com/Covenant-Water-Abraham-Verghese/dp/0802162177/ref=zg_bs_g_books_sccl_15/142-7825522-0098658?psc=1 67 | 66,Dirty Thirty (30) (Stephanie Plum),20.98,4.7,Janet Evanovich,2021,"Dark, Thriller, Fantasy, Adult, Contemporary, Mystery, Horror",amazon.com/Dirty-Thirty-30-Stephanie-Plum/dp/1668003090/ref=zg_bs_g_books_sccl_16/142-7825522-0098658?psc=1 68 | 67,How to Catch an Elf,6.94,4.8,Adam Wallace,2016,"Christmas, Picture Books, Holiday, Childrens, Fantasy, Humor, Fiction",amazon.com/How-Catch-Elf-Adam-Wallace/dp/1492646318/ref=zg_bs_g_books_sccl_17/142-7825522-0098658?psc=1 69 | 68,"School Zone - Multiplication 0-12 Flash Cards - Ages 8+, 3rd Grade, 4th Grade, Elementary Math, Multiplication Facts, Common ",2.78,4.7,School Zone Publishing,1994,Educational Material,amazon.com/School-Zone-Multiplication-Grades-Concentration/dp/0938256939/ref=zg_bs_g_books_sccl_18/142-7825522-0098658?psc=1 70 | 69,"Hello, Baby Animals: A Durable High-Contrast Black-and-White Board Book for Newborns and Babies (High-Contrast Books)",4.73,4.9,"duopress labs, Julissa Mora",2016,"Childrens, Picture Books, Animals",amazon.com/Hello-Baby-Animals-High-Contrast-Book/dp/1938093682/ref=zg_bs_g_books_sccl_19/142-7825522-0098658?psc=1 71 | 70,Haunting Adeline (Cat and Mouse Duet),13.36,4.4,H.D. Carlton,2021,"Dark, Thriller, Fantasy, Adult, Contemporary, Mystery, Horror",amazon.com/Haunting-Adeline-Cat-Mouse-Duet/dp/B09CGGV8DX/ref=zg_bs_g_books_sccl_20/142-7825522-0098658?psc=1 72 | 71,Verity,10.98,4.6,Colleen Hoover,2018,"Thriller, Romance, Mystery, Fiction",amazon.com/Verity-Colleen-Hoover/dp/1538724731/ref=zg_bs_g_books_sccl_21/142-7825522-0098658?psc=1 73 | 72,"A Court of Mist and Fury (A Court of Thorns and Roses, 2)",12.79,4.8,Sarah J. Maas,2016,"Fantasy, Romance, Young Adult, New Adult, Fiction",amazon.com/Court-Mist-Fury-Thorns-Roses/dp/1635575583/ref=zg_bs_g_books_sccl_22/142-7825522-0098658?psc=1 74 | 73,The Creative Act: A Way of Being,17.49,4.7,Rick Rubin,2023,"Nonfiction, Art, Music, Philosophy, Self Help, Writing, Design",amazon.com/Creative-Act-Way-Being/dp/0593652886/ref=zg_bs_g_books_sccl_23/142-7825522-0098658?psc=1 75 | 74,My First Library : Boxset of 10 Board Books for Kids (My First Book of),16.74,4.6,Not available,2018,Childrens,amazon.com/My-First-Library-Boxset-Board/dp/9387779262/ref=zg_bs_g_books_sccl_24/142-7825522-0098658?psc=1 76 | 75,"Forever Strong: A New, Science-Based Strategy for Aging Well",20.63,4.6,Gabrielle Lyon,2023,"Health, Nonfiction, Nutrition, Fitness, Self Help, Science",amazon.com/Forever-Strong-Science-Based-Strategy-Aging/dp/1668007878/ref=zg_bs_g_books_sccl_25/142-7825522-0098658?psc=1 77 | 76,Where's Spot?,4.97,4.9,Eric Hill,1980,Childrens,amazon.com/Wheres-Spot-Eric-Hill/dp/0399240462/ref=zg_bs_g_books_sccl_26/142-7825522-0098658?psc=1 78 | 77,Demon Copperhead: A Pulitzer Prize Winner,19.5,4.6,Barbara Kingsolver,2022,Fiction,amazon.com/Demon-Copperhead-Novel-Barbara-Kingsolver/dp/0063251922/ref=zg_bs_g_books_sccl_27/142-7825522-0098658?psc=1 79 | 78,Israel: A Simple Guide to the Most Misunderstood Country on Earth,15.59,4.7,Noa Tishby,2021,"Nonfiction, History, Politics, Israel, Jewish, Judaism, Religion",amazon.com/Israel-Simple-Guide-Misunderstood-Country/dp/1982144947/ref=zg_bs_g_books_sccl_28/142-7825522-0098658?psc=1 80 | 79,Remarkably Bright Creatures: A Read with Jenna Pick,15.99,4.6,Shelby Van Pelt,2024,Fiction,amazon.com/Remarkably-Bright-Creatures-Shelby-Pelt/dp/0063204150/ref=zg_bs_g_books_sccl_29/142-7825522-0098658?psc=1 81 | 80,Harry Potter Paperback Box Set (Books 1-7),45.22,4.9,J.K. Rowling,2014,"Childrens, Young Adult, Fantasy, Science Fiction & Horror",amazon.com/Harry-Potter-Paperback-Box-Books/dp/0545162076/ref=zg_bs_g_books_sccl_30/142-7825522-0098658?psc=1 82 | 81,Just Because,12.69,4.6,Matthew McConaughey,2023,"Picture Books, Childrens, Fiction",amazon.com/Just-Because-Matthew-McConaughey/dp/0593622030/ref=zg_bs_g_books_sccl_81/142-7825522-0098658?psc=1 83 | 82,If Animals Kissed Good Night,4.19,4.8,Ann Whitford Paul,2008,"Picture Books, Childrens, Animals, Fiction, Family, Storytime, Poetry",amazon.com/If-Animals-Kissed-Good-Night/dp/0374300216/ref=zg_bs_g_books_sccl_82/142-7825522-0098658?psc=1 84 | 83,Things We Never Got Over (Knockemout),8.93,4.5,Lucy Score,2022,"Romance, Contemporary, Contemporary Romance, Fiction, Adult, Chick Lit",amazon.com/Things-We-Never-Got-Over/dp/194563183X/ref=zg_bs_g_books_sccl_83/142-7825522-0098658?psc=1 85 | 84,Five Silly Turkeys,5.99,4.8,Salina Yoon,2005,"Picture Books, Childrens, Holiday, Storytime, Counting, Animals, Number",amazon.com/Five-Silly-Turkeys-Salina-Yoon/dp/0843114169/ref=zg_bs_g_books_sccl_84/142-7825522-0098658?psc=1 86 | 85,Paint by Sticker Kids: Christmas: Create 10 Pictures One Sticker at a Time! Includes Glitter Stickers,6.06,4.8,Workman Publishing,2019,Childrens Literature,amazon.com/Paint-Sticker-Kids-Workman-Publishing/dp/152350675X/ref=zg_bs_g_books_sccl_85/142-7825522-0098658?psc=1 87 | 86,Love Comes First,17.99,,Emily Giffin,2016,"Fiction, Romance, Contemporary, Audiobook, Adult, Adult Fiction",amazon.com/Love-Comes-First-Jenna-Hager/dp/0316525022/ref=zg_bs_g_books_sccl_86/142-7825522-0098658?psc=1 88 | 87,The Ballad of Songbirds and Snakes (A Hunger Games Novel) (The Hunger Games),15.79,4.6,Suzanne Collins,2020,"Adventure, War, Science Fiction, Romance, Action, Thriller",amazon.com/Ballad-Songbirds-Snakes-Hunger-Games/dp/1338635174/ref=zg_bs_g_books_sccl_87/142-7825522-0098658?psc=1 89 | 88,"A Court of Wings and Ruin (A Court of Thorns and Roses, 3)",11.56,4.8,Sarah J. Maas,2017,Fantasy,amazon.com/Court-Wings-Ruin-Thorns-Roses/dp/1635575605/ref=zg_bs_g_books_sccl_88/142-7825522-0098658?psc=1 90 | 89,The Shadow Work Journal 2nd Edition: a Guide to Integrate and Transcend Your Shadows: The Essential Guidebook for Shadow Work,18.46,4.7,Keila Shaheen,2023,Self Help,amazon.com/Shadow-Work-Journal-2nd-Integrate/dp/B0BW31X61X/ref=zg_bs_g_books_sccl_89/142-7825522-0098658?psc=1 91 | 90,"Harry Potter and the Prisoner of Azkaban (Harry Potter, Book 3) (MinaLima Edition)",25.97,4.9,J.K. Rowling,1999,Fantasy,amazon.com/Harry-Potter-Prisoner-Azkaban-MinaLima/dp/1338815288/ref=zg_bs_g_books_sccl_90/142-7825522-0098658?psc=1 92 | 91,"Moo, Baa, La La La!",3.69,4.9,Sandra Boynton,1982,"Childrens literature, picture book",amazon.com/Moo-Baa-Sandra-Boynton/dp/067144901X/ref=zg_bs_g_books_sccl_91/142-7825522-0098658?psc=1 93 | 92,The Coworker,9.44,4.2,Freida McFadden,2023,"Thriller, Mystery",amazon.com/Coworker-Freida-McFadden/dp/172829620X/ref=zg_bs_g_books_sccl_92/142-7825522-0098658?psc=1 94 | 93,Rich Dad Poor Dad: What the Rich Teach Their Kids About Money That the Poor and Middle Class Do Not!,6.31,4.7,Robert Kiyosaki,1997,Personal Finance,amazon.com/Rich-Dad-Poor-Teach-Middle/dp/1612681131/ref=zg_bs_g_books_sccl_93/142-7825522-0098658?psc=1 95 | 94,Percy Jackson and the Olympians: The Chalice of the Gods (Percy Jackson & the Olympians),15.63,4.7,Rick Riordan,2023,"Fantasy, Adventure, Mythology",amazon.com/Percy-Jackson-Olympians-Chalice-Gods/dp/1368098177/ref=zg_bs_g_books_sccl_94/142-7825522-0098658?psc=1 96 | 95,Paw Patrol Phonics: 12 Books in 1,8.25,4.6,Jennifer Liberts,2015,Childrens,amazon.com/Patrol-Phonics-Step-into-Reading/dp/0553508784/ref=zg_bs_g_books_sccl_95/142-7825522-0098658?psc=1 97 | 96,First Little Readers Parent Pack: Guided Reading Level A: 25 Irresistible Books That Are Just the Right Level for Beginning R,11.4,4.7,Deborah Schecter,2010,Nonfiction,amazon.com/First-Little-Readers-Parent-Pack/dp/0545231493/ref=zg_bs_g_books_sccl_96/142-7825522-0098658?psc=1 98 | 97,Hatchet,5.14,4.7,Gary Paulsen,1987," young adult novel, adventure novel, survival story",amazon.com/Hatchet-Gary-Paulsen/dp/1416936475/ref=zg_bs_g_books_sccl_97/142-7825522-0098658?psc=1 99 | 98,"The Wager: A Tale of Shipwreck, Mutiny and Murder",15.3,4.5,David Grann,2023,Nonfiction,amazon.com/Wager-Tale-Shipwreck-Mutiny-Murder/dp/0385534264/ref=zg_bs_g_books_sccl_98/142-7825522-0098658?psc=1 100 | 99,"I'm Dead, Now What?: Important Information About My Belongings, Business Affairs, and Wishes",12.99,4.6,Peter Pauper Press,2015,Nonfiction,amazon.com/Important-Information-Belongings-Business-Affairs/dp/1441317996/ref=zg_bs_g_books_sccl_99/142-7825522-0098658?psc=1 101 | 100,The Wonky Donkey,5.28,4.8,Craig Smith,2009,"Childrens, Picture Books",amazon.com/Wonky-Donkey-Craig-Smith/dp/0545261244/ref=zg_bs_g_books_sccl_100/142-7825522-0098658?psc=1 102 | -------------------------------------------------------------------------------- /Amazon_Books_Dashboard/app.R: -------------------------------------------------------------------------------- 1 | library(shiny) 2 | library(plotly) 3 | library(ggplot2) 4 | library(tidyverse) 5 | library(shinythemes) 6 | library(shinydashboard) 7 | library(DT) 8 | library(tm) 9 | library(tidytext) 10 | library(wordcloud2) 11 | library(syuzhet) 12 | 13 | books <- read.csv('Top-100 Trending Books.csv') 14 | #books <- books %>% 15 | # filter(!is.na(rating)) 16 | colnames(books) <- c("Rank", "Title", 17 | "Price", "Rating", 18 | "Author", "Year of publication", 19 | "Genre", "url") 20 | books <- books %>% 21 | filter(!duplicated(Title)) 22 | books$Rank <- c(1:dim(books)[1]) 23 | 24 | clean <- function(txt){ 25 | txt_new <- tolower(txt) 26 | txt_new <- gsub("[0-9]", "", txt_new) 27 | txt_new <- gsub("[[:punct:]]", "", txt_new) 28 | txt_new <- gsub("\\s+", " ", txt_new) 29 | return(txt_new) 30 | } 31 | 32 | 33 | df <- read.csv('customer reviews.csv') 34 | 35 | df <- df %>% 36 | inner_join(books, by = c("book.name" = "Title")) 37 | 38 | df$text <- clean(df$review.description) 39 | 40 | 41 | 42 | stop_words <- c("i", "me", "my", "myself", "we", "our", "ours", "ourselves", 43 | "you", "your", "yours", "yourself", "yourselves", "he", "him", "his", 44 | "himself", "she", "her", "hers", "herself", "it", "its", "itself", 45 | "they", "them", "their", "theirs", "themselves", "what", "which", "who", 46 | "whom", "this", "that", "these", "those", "am", "is", "are", "was", 47 | "were", "be", "been", "being", "have", "has", "had", "having", "do", 48 | "does", "did", "doing", "a", "an", "the", "and", "but", "if", "or", 49 | "because", "as", "until", "while", "of", "at", "by", "for", "with", 50 | "about", "against", "between", "into", "through", "during", "before", 51 | "after", "above", "below", "to", "from", "up", "down", "in", "out", 52 | "on", "off", "over", "under", "again", "further", "then", "once", 53 | "here", "there", "when", "where", "why", "how", "all", "any", "both", 54 | "each", "few", "more", "most", "other", "some", "such", "no", "nor", 55 | "not", "only", "own", "same", "so", "than", "too", "very", "s", "t", 56 | "can", "will", "just", "don", "should", "now", "d", "ll", "m", "o", 57 | "re", "ve", "y", "ain", "aren", "couldn", "didn", "doesn", "hadn", 58 | "hasn", "haven", "isn", "ma", "mightn", "mustn", "needn", "shan", 59 | "shouldn", "wasn", "weren", "won", "wouldn", "mightn", 60 | "book","books","read","reading") 61 | 62 | 63 | stop_words <- data.frame(word = stop_words) 64 | 65 | 66 | 67 | ui <- fluidPage( 68 | navbarPage(title = span("General information",style="color:#0469EE"), 69 | tabPanel(icon("home"), 70 | fluidRow(align = "center", 71 | column(2, 72 | h5(strong("This dashboard was created with 73 | the data set available in the following link:"), 74 | style="text-align:justify;color:#066AFF;"), 75 | HTML('
76 | Top 100 Bestselling Book Reviews
'), 77 | h5("*Rank: The ranking of the book among the top 100 Bestselling books on Amazon.", 78 | style="text-align:justify"), 79 | h5("*Price: The price of the book in USD.", 80 | style="text-align:justify"), 81 | h5("*Rating: The overall rating of the book, 82 | on a scale of 1 to 5.", 83 | style="text-align:justify"), 84 | h5("*Genre: The genre or category to which the book belongs.", 85 | style="text-align:justify"), 86 | br(), 87 | h5("Created by: Pedro Abraham Montoya Calzada", 88 | style="text-align:justify"), 89 | h5("Email: ",a("abraham.montoyaca11@gmail.com")) 90 | ), 91 | column(5,plotlyOutput("p1"), 92 | br(), 93 | plotlyOutput("p2") 94 | ), 95 | column(5,plotlyOutput("p3"), 96 | br(), 97 | plotlyOutput("p4") 98 | ) 99 | ) 100 | 101 | ), 102 | tabPanel(title = span("Word cloud",style="color:#0469EE"), 103 | style = "text-align:justify;color:#0469EE;background: white", 104 | sidebarLayout( 105 | sidebarPanel( 106 | style = "text-align:justify;color:#0469EE;background:#EBEBEB", 107 | fluidRow(align = "center", 108 | numericInput("n1","Number of words", 109 | value = 20,min = 2, 110 | max = 50,width = "110px"), 111 | selectInput("s1",label = "Filter by genre",selected = "All", 112 | choices = c("All",unique(df$Genre))) 113 | ) 114 | 115 | ), 116 | mainPanel( 117 | fluidRow(align = "center", 118 | wordcloud2Output("w1")) 119 | ) 120 | ) 121 | 122 | ), 123 | 124 | tabPanel(title = span("Sentiment analysis",style="color:#0469EE"), 125 | style = "text-align:justify;color:#0469EE;background: white", 126 | 127 | fluidRow(align = "center", 128 | column(6,h3("Sentiment by genre and author", 129 | style="text-align:center")), 130 | column(6,h3('Relationship between average sentiment and rating', 131 | style="text-align:center") 132 | 133 | ) 134 | ), 135 | fluidRow(align = "center", 136 | column(2,selectInput("s2",label = "Filter by genre",selected = "All", 137 | choices = c("All",unique(df$Genre))), 138 | uiOutput(outputId = "ui1") 139 | 140 | ), 141 | column(4,plotlyOutput("p5")), 142 | column(1), 143 | column(4,plotlyOutput("p6"), 144 | h5("*Considering all reviews, author and genre 145 | filters are not taken into account.") 146 | ), 147 | column(1) 148 | ) 149 | ) 150 | ) 151 | 152 | ) 153 | 154 | server <- function(input, output) { 155 | 156 | output$p1 <- renderPlotly({ 157 | p <- ggplot(data = books) + 158 | geom_histogram(aes(x = Rating),bins = 10, 159 | fill = "#0469EE", 160 | color = "white") + 161 | theme_bw() + 162 | theme(panel.grid=element_blank(), 163 | plot.title=element_text(hjust=0.5,size=17)) + 164 | labs(title = "Book rating distribution", 165 | x = "Rating", y = "Frequency") 166 | ggplotly(p) 167 | }) 168 | 169 | output$p2 <- renderPlotly({ 170 | p <- ggplot(data = books) + 171 | geom_point(aes( x = Price, y = Rating), 172 | color = "#D20E1B", size = 2) + 173 | theme_bw() + 174 | theme(panel.grid=element_blank(), 175 | plot.title=element_text(hjust=0.5,size=17)) + 176 | labs(title = 'Relationship between price and rating', 177 | x = "Price", y = "Rating") + 178 | geom_smooth(aes(x = Price, y = Rating), 179 | method = lm, formula = y ~ splines::bs(x, 3)) 180 | 181 | ggplotly(p) 182 | }) 183 | 184 | output$p3 <- renderPlotly({ 185 | p <- ggplot(data = books) + 186 | geom_histogram(aes(x = Price),bins = 8, 187 | fill = "#0469EE", 188 | color = "white") + 189 | theme_bw() + 190 | theme(panel.grid=element_blank(), 191 | plot.title=element_text(hjust=0.5,size=17)) + 192 | labs(title = "Book price distribution", 193 | x = "Price", y = "Frequency") 194 | 195 | ggplotly(p) 196 | }) 197 | 198 | output$p4 <- renderPlotly({ 199 | Genre <- books %>% 200 | group_by(Genre) %>% 201 | summarise(n = length(Genre)) %>% 202 | arrange(desc(n)) 203 | 204 | 205 | Genre <- Genre[1:5,] 206 | 207 | p <- ggplot(data = Genre, 208 | aes(x = reorder(Genre, -n), y = n)) + 209 | geom_bar(stat = "identity", fill = "#0469EE") + 210 | geom_text(aes(label = n), vjust = -1) + 211 | theme_bw() + 212 | theme(panel.grid=element_blank(), 213 | plot.title=element_text(hjust=0.5,size=17)) + 214 | labs(title = "Best-selling genres (top 5)", 215 | x = "Genre", y = "Frequency") 216 | 217 | ggplotly(p) 218 | }) 219 | 220 | df1 <- reactive({ 221 | if(input$s1 == "All"){ 222 | df1 <- df 223 | }else{ 224 | df1 <- df %>% 225 | filter(Genre == input$s1) 226 | } 227 | return(df1) 228 | }) 229 | 230 | 231 | output$w1 <- renderWordcloud2({ 232 | token <- df1() %>% 233 | unnest_tokens(word, text,token = "ngrams", n = 1) %>% 234 | anti_join(stop_words) 235 | 236 | word <- token %>% count(word, sort = TRUE) 237 | wordcloud2(word[1:input$n1,][-1,], 238 | minRotation = 0,maxRotation = 0, 239 | fontFamily ="Calibri",size = 0.7) 240 | }) 241 | 242 | df2 <- reactive({ 243 | if(input$s2 == "All"){ 244 | df2 <- df 245 | }else{ 246 | df2 <- df %>% 247 | filter(Genre == input$s2) 248 | } 249 | return(df2) 250 | }) 251 | 252 | output$ui1 <- renderUI({ 253 | selectInput("s3",label = "Filter by genre",selected = "All", 254 | choices = c("All",unique(df2()$Author))) 255 | }) 256 | 257 | df3 <- reactive({ 258 | if(input$s3 == "All"){ 259 | df3 <- df2() 260 | }else{ 261 | df3 <- df2() %>% 262 | filter(Author == input$s3) 263 | } 264 | return(df3) 265 | }) 266 | 267 | output$p5 <- renderPlotly({ 268 | sentiment <- get_sentiment(df3()$text,method = "bing") 269 | sentiment <- ifelse(sentiment < 0, "Negative", 270 | ifelse(sentiment==0,"Neutral","Positive")) 271 | 272 | x <- table(sentiment) 273 | x <- as.data.frame(x) 274 | 275 | colores <- ifelse(x$sentiment == "Negative", "red", 276 | ifelse(x$sentiment == "Neutral", "#0469EE", "#00FF22")) 277 | 278 | fig <- plot_ly(x = x$sentiment, 279 | y = x$Freq, 280 | type = 'bar', 281 | text = x$Freq, 282 | textposition = 'auto', 283 | marker = list(color = colores)) 284 | 285 | fig <- fig %>% layout("", 286 | yaxis = list(title = "Frequency"), 287 | xaxis = list(title = "Sentiment")) 288 | 289 | fig 290 | 291 | }) 292 | 293 | output$p6 <- renderPlotly({ 294 | sentiment <- get_sentiment(df$text,method = "bing") 295 | 296 | df$sentiment <- sentiment 297 | 298 | df4 <- df %>% 299 | group_by(book.name) %>% 300 | summarise(Average = mean(sentiment)) %>% 301 | inner_join(books, by = c("book.name" = "Title")) 302 | 303 | p <- ggplot(data = df4) + 304 | geom_point(aes(x = Rating, y = Average), 305 | color = "#D20E1B") + 306 | theme_bw() + 307 | theme(panel.grid = element_blank(), 308 | plot.title = element_text(hjust = 0.5, size = 17)) + 309 | labs(title = "", 310 | x = "Sentiment", y = "Rating") 311 | 312 | 313 | ggplotly(p) 314 | }) 315 | 316 | } 317 | 318 | shinyApp(ui = ui, server = server) 319 | -------------------------------------------------------------------------------- /Coffee_quality/data/df_arabica_clean.csv: -------------------------------------------------------------------------------- 1 | ,ID,Country of Origin,Farm Name,Lot Number,Mill,ICO Number,Company,Altitude,Region,Producer,Number of Bags,Bag Weight,In-Country Partner,Harvest Year,Grading Date,Owner,Variety,Status,Processing Method,Aroma,Flavor,Aftertaste,Acidity,Body,Balance,Uniformity,Clean Cup,Sweetness,Overall,Defects,Total Cup Points,Moisture Percentage,Category One Defects,Quakers,Color,Category Two Defects,Expiration,Certification Body,Certification Address,Certification Contact 2 | 0,0,Colombia,Finca El Paraiso,CQU2022015,Finca El Paraiso,,Coffee Quality Union,1700-1930,"Piendamo,Cauca",Diego Samuel Bermudez,1,35 kg,Japan Coffee Exchange,2021 / 2022,"September 21st, 2022",Coffee Quality Union,Castillo,Completed,Double Anaerobic Washed,8.58,8.5,8.42,8.58,8.25,8.42,10.0,10.0,10.0,8.58,0.0,89.33,11.8,0,0,green,3,"September 21st, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 3 | 1,1,Taiwan,Royal Bean Geisha Estate,"The 2022 Pacific Rim Coffee Summit,T037",Royal Bean Geisha Estate,,Taiwan Coffee Laboratory,1200,Chiayi,曾福森,1,80 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,8.5,8.5,7.92,8.0,7.92,8.25,10.0,10.0,10.0,8.5,0.0,87.58,10.5,0,0,blue-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 4 | 2,2,Laos,OKLAO coffee farms,"The 2022 Pacific Rim Coffee Summit,LA01",oklao coffee processing plant,,Taiwan Coffee Laboratory,1300,Laos Borofen Plateau,WU TAO CHI,19,25 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Java,Completed,Semi Washed,8.33,8.42,8.08,8.17,7.92,8.17,10.0,10.0,10.0,8.33,0.0,87.42,10.4,0,0,yellowish,2,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 5 | 3,3,Costa Rica,La Cumbre,CQU2022017,La Montana Tarrazu MIll,,Coffee Quality Union,1900,"Los Santos,Tarrazu",Santa Maria de Dota,1,22 kg,Japan Coffee Exchange,2022,"September 21st, 2022",Coffee Quality Union,Gesha,Completed,Washed / Wet,8.08,8.17,8.17,8.25,8.17,8.08,10.0,10.0,10.0,8.25,0.0,87.17,11.8,0,0,green,0,"September 21st, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 6 | 4,4,Colombia,Finca Santuario,CQU2023002,Finca Santuario,,Coffee Quality Union,1850-2100,"Popayan,Cauca",Camilo Merizalde,2,24 kg,Japan Coffee Exchange,2022,"March 6th, 2023",Coffee Quality Union,Red Bourbon,Completed,"Honey,Mossto",8.33,8.33,8.08,8.25,7.92,7.92,10.0,10.0,10.0,8.25,0.0,87.08,11.6,0,2,yellow-green,2,"March 5th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 7 | 5,5,Guatemala,La Colina,"The 2022 Pacific Rim Coffee Summit,GT02",Dinámica Café,,Taiwan Coffee Laboratory,1668,Chimaltenango,Emilio Antonio Medina Garcia,5,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,8.33,8.33,8.25,7.83,7.83,8.17,10.0,10.0,10.0,8.25,0.0,87.0,10.7,0,0,green,2,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 8 | 6,6,Taiwan,野牡丹咖啡莊園 Melastoma Coffee Estate,"The 2022 Pacific Rim Coffee Summit,T034",野牡丹咖啡,,Taiwan Coffee Laboratory,1250,Chiayi,黃保錫,1,27 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,8.33,8.17,8.08,8.0,7.83,8.25,10.0,10.0,10.0,8.25,0.0,86.92,9.1,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 9 | 7,7,Taiwan,七彩琉璃咖啡莊園 Chi Tsai Liu Li Ecological Farm,"The 2022 Pacific Rim Coffee Summit,T050",七彩琉璃咖啡莊園,,Taiwan Coffee Laboratory,1200,Chiayi,莊家榮,1,90 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Sl34+Gesha,Completed,Natural / Dry,8.25,8.25,8.17,8.0,7.92,8.08,10.0,10.0,10.0,8.08,0.0,86.75,10,0,0,yellow green,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 10 | 8,8,Taiwan,亮軒咖啡莊園 Liang Xuan Coffee Farm,"The 2022 Pacific Rim Coffee Summit,T018",亮軒咖啡莊園,,Taiwan Coffee Laboratory,1250,Chiayi,鍾旭亮,1,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Washed / Wet,8.08,8.08,8.25,8.08,7.92,8.0,10.0,10.0,10.0,8.25,0.0,86.67,10.8,0,0,greenish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 11 | 9,9,"Tanzania, United Republic Of",MASHIMA AMCOS,CN 4127230034/4189230113,GOURMET COFFEE MILL,033/DE/503/002 and 033/DE/268/002,DORMAN (T) LIMITED,1400-1700,KILIMANJARO,DORMAN (T) LIMITED,320,60 kg,Kenya Coffee Traders Association,2022 / 2023,"February 1st, 2023",Gilbert Maina,Bourbon,Completed,Washed / Wet,8.08,8.17,8.08,8.17,8.0,8.0,10.0,10.0,10.0,8.0,0.0,86.5,11,0,0,greenish,0,"February 1st, 2024",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 12 | 10,10,Ethiopia,TADE GG,010/0296/600,Moledo社　委託精選場,010/0296/600,"Marubeni corp.,",1800-2200,Guji,Tesfaye Bekele Degaga,10,30 kg,Japan Coffee Exchange,2021 / 2022,"May 31st, 2022",ERI ASAEDA,Ethiopian Heirlooms,Completed,Natural / Dry,8.08,8.25,8.0,8.08,7.92,7.92,10.0,10.0,10.0,8.0,0.0,86.25,11.8,0,1,greenish,1,"May 31st, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 13 | 11,11,Guatemala,Karen Acajabon Coffee Farm,"The 2022 Pacific Rim Coffee Summit,GT12",Cafetoland,,Taiwan Coffee Laboratory,2000,Acatenango,Karen Acajabon,5,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Full Sweet Coffee,Gesha,Completed,Natural / Dry,8.08,8.0,8.0,7.75,8.25,8.17,10.0,10.0,10.0,8.0,0.0,86.25,11.5,0,0,brownish,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 14 | 12,12,Taiwan,古峰咖啡莊園 Goodfun Coffee Farm,"The 2022 Pacific Rim Coffee Summit,T051",古峰咖啡莊園,,Taiwan Coffee Laboratory,1250,Yunlin,賴彥合,1,60 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Goodfun,Gesha,Completed,Washed / Wet,8.08,8.0,8.08,8.08,8.0,8.0,10.0,10.0,10.0,8.0,0.0,86.25,11.9,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 15 | 13,13,Ethiopia,Gelana Geisha,"Grade 1, Guji, Natural, Gelana Geisha",Dry Mill or Hulling Facility,010/0475/0207,Kerchanshe Trading PLC,1900-2000,Guji,Kerchanshe,40,60 kg,METAD Agricultural Development plc,2021 / 2022,"August 26th, 2022",Isreal Degefa,Gesha,Completed,Natural / Dry,7.67,8.17,8.0,8.33,8.0,8.0,10.0,10.0,10.0,8.0,0.0,86.17,11.6,0,3,yellow- green,2,"August 26th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 16 | 14,14,Colombia,La Gaitania,"The 2022 Pacific Rim Coffee Summit,CO03",La Gaitania,,Taiwan Coffee Laboratory,1850,tolima,Josue Enciso Suarez,70,35 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",PeiHsun Lin,Caturra,Completed,Washed / Wet,8.08,8.0,8.08,7.92,8.08,8.0,10.0,10.0,10.0,8.0,0.0,86.17,10.6,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 17 | 15,15,Taiwan,青葉咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T014",青葉咖啡莊園,,Taiwan Coffee Laboratory,1100,Chiayi,葉世遠,1,60 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Pulped natural / honey,8.17,8.08,8.0,7.92,8.0,7.92,10.0,10.0,10.0,8.0,0.0,86.08,10.2,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 18 | 16,16,Ethiopia,Halo Bariti Cooprative,CQU2023006,Halo Bariti Cooprative,,Coffee Quality Union,1900-2100,"Gedeb,Yirgacheffe,Sidamo",Halo Bariti Cooprative,8,5 kg,Japan Coffee Exchange,2022,"April 7th, 2023",Coffee Quality Union,"Wolishalo,Kurume,Dega",Completed,Washed / Wet,8.17,8.08,7.92,8.17,7.75,7.92,10.0,10.0,10.0,8.08,0.0,86.08,11.3,0,2,green,2,"April 6th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 19 | 17,17,Taiwan,東璧咖啡莊園,202203,yes,non,Dongbi coffee,1300,"Shibi, Gukeng Township, Yunlin County 郵遞區號 , Taiwan (R.O.C.)",陳景立,5,2 kg,Blossom Valley International宸嶧國際,2022,"October 24th, 2022",Dongbi,Gesha,Completed,Natural / Dry,8.0,8.17,8.0,7.92,7.92,7.92,10.0,10.0,10.0,8.17,0.0,86.08,10.3,0,0,yellow-green,0,"October 24th, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 20 | 18,18,Taiwan,櫻桃果古坑咖啡莊園,202112,yes,non,宸嶧國際有限公司,1200,"Gukeng Township, Yunlin County",王瀅惠,8,1 kg,Blossom Valley International宸嶧國際,2021 / 2022,"October 24th, 2022",王瀅惠,Gesha,Completed,Natural / Dry,8.08,8.17,7.75,7.92,7.83,8.0,10.0,10.0,10.0,8.17,0.0,85.92,11,0,0,brownish,1,"October 24th, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 21 | 19,19,"Tanzania, United Republic Of",BURKA,CN 4127230032/P-9140,GOURMET COFFEE MILL,033/DE/163/001,DORMAN (T) LIMITED,1570-1600,Arusha,DORMAN (T) LIMITED,200,30 kg,Kenya Coffee Traders Association,2022 / 2023,"February 1st, 2023",Gilbert Maina,Bourbon,Completed,Washed / Wet,8.17,8.0,7.92,7.92,8.17,7.75,10.0,10.0,10.0,7.92,0.0,85.83,10,0,0,greenish,0,"February 1st, 2024",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 22 | 20,20,Guatemala,Finca Vista Hermosa,"The 2022 Pacific Rim Coffee Summit,GT03",El Vergel,,Taiwan Coffee Laboratory,1900,"Guatemala, Fraijanes, Santa Rosa",Fredy Orantes,8,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Carlos Pascual - 潘仕杰,Gesha,Completed,Natural / Dry,8.0,7.92,8.08,7.92,7.75,8.0,10.0,10.0,10.0,8.08,0.0,85.75,11.6,0,0,yellowish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 23 | 21,21,Taiwan,仲大叔咖啡莊園Uncle Chung.s Coffee Farm,2022/03,仲大叔咖啡莊園Uncle Chung.s Coffee Farm,,Taiwan Coffee Laboratory,850,卓溪鄉Zhuoxi Township,游婷淯 YU TING YU,1,20 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"December 12th, 2022",Yu Ting Yu 游婷淯,Typica,Completed,Natural / Dry,8.08,8.0,7.92,7.92,8.0,7.83,10.0,10.0,10.0,7.92,0.0,85.67,10.4,0,0,green,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 24 | 22,22,Thailand,Hom Doi,1,Machines to peel outer skin of the cherry coffee and coffee is dried manually,,Lyrose,1500-1700,Chiang Mai,Lisu farmers,2,1 kg,FABB Academy of Coffee,2021 / 2022,"August 16th, 2022",Christian Charmette,Catimor,Completed,Pulped natural / honey,7.67,8.0,7.83,8.0,8.08,8.0,10.0,10.0,10.0,8.08,0.0,85.67,9.8,0,0,browish-green,5,"August 16th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 25 | 23,23,Colombia,El Diamante,CQU2023005,El Diamante,,Coffee Quality Union,1350,Quindio,Farm Bedoya Arango,6,5 kg,Japan Coffee Exchange,2022,"April 7th, 2023",Coffee Quality Union,Castillo Paraguaycito,Completed,,8.08,8.0,7.83,8.17,7.75,7.83,10.0,10.0,10.0,8.0,0.0,85.67,11.3,0,0,brownish,2,"April 6th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 26 | 24,24,Taiwan,永舜咖啡莊園,"The 2022 Pacific Rim Coffee Summit, T003",永舜咖啡莊園,,Taiwan Coffee Laboratory,1250,Yunlin,蘇甘永,4,50 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Washed / Wet,7.83,8.0,7.92,8.0,8.0,7.92,10.0,10.0,10.0,7.92,0.0,85.58,10.6,0,0,bluish-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 27 | 25,25,Brazil,Fazenda Recreio,Arara 1,Dry mill,,"WIT wealth, investments & trust",1250,Região Vulcânica,Diogo T. Dias de Macedo,25,60 kg,Brazil Specialty Coffee Association,2022,"January 6th, 2023",Andre Clark,,Completed,Pulped natural / honey,7.83,8.08,7.83,7.92,8.0,7.83,10.0,10.0,10.0,8.0,0.0,85.5,11.3,2,0,green,3,"January 6th, 2024",Brazil Specialty Coffee Association,"Rua Gaspar Batista Paiva, 416 – Santa Luiza Varginha/MG – Brazil",Chris Allen - 55 35 3212-4705 28 | 26,26,Taiwan,鄒築園ZouZhouYuan,"The 2022 Pacific Rim Coffee Summit,T024",鄒築園ZouZhouYuan,,Taiwan Coffee Laboratory,1300,Chiayi,方政倫,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022","Fang, Cheng Lun 方政倫",Gesha,Completed,Natural / Dry,7.92,7.92,8.0,7.92,7.83,7.92,10.0,10.0,10.0,8.0,0.0,85.5,9.1,0,0,green,2,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 29 | 27,27,Taiwan,嵩岳咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T048",嵩岳咖啡莊園,,Taiwan Coffee Laboratory,1200,Yunlin,郭志豪,1,90 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022","Jhih Hao,GUO 郭志豪",Gesha,Completed,Natural / Dry,8.17,8.08,7.92,8.0,7.58,7.83,10.0,10.0,10.0,7.92,0.0,85.5,10.6,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 30 | 28,28,Taiwan,他扶芽有機農園,"The 2022 Pacific Rim Coffee Summit,T045",他扶芽有機農園,,Taiwan Coffee Laboratory,1060,Chiayi,陳清龍,1,85 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Natural / Dry,8.0,8.0,8.0,7.92,7.75,7.92,10.0,10.0,10.0,7.92,0.0,85.5,10.2,0,0,blue-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 31 | 29,29,United States (Hawaii),Hokukano Ranch,"The 2022 Pacific Rim Coffee Summit,US01",Kona Coffee & Tea,,Taiwan Coffee Laboratory,600,Kona,Kona Hills LLC,80,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Typica,Completed,Washed / Wet,8.0,7.92,8.0,7.83,7.67,8.0,10.0,10.0,10.0,8.0,0.0,85.42,9.3,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 32 | 30,30,Taiwan,鄉庭有機農場Siang-Ting Organic Farm,2022/3/1(老叢),鄉庭有機農場Siang-Ting Organic Farm,,Taiwan Coffee Laboratory,150-250,壽豐鄉Shoufeng Township,張進義Zhang Jin-Yi,3,48 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"December 12th, 2022",Zhang Jin Yi 張進義,Typica,Completed,Washed / Wet,8.0,8.0,7.83,7.83,7.75,7.92,10.0,10.0,10.0,8.08,0.0,85.42,11.4,0,0,bluish-green,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 33 | 31,31,Taiwan,鄉庭有機農場Siang-Ting Organic Farm,2022/02,鄉庭有機農場Siang-Ting Organic Farm,,Taiwan Coffee Laboratory,150-250,壽豐鄉Shoufeng Township,張進義Zhang Jin-Yi,3,50 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"December 12th, 2022",Zhang Jin Yi 張進義,Typica,Completed,Washed / Wet,7.92,8.0,7.83,7.92,7.83,7.83,10.0,10.0,10.0,8.0,0.0,85.33,10.8,0,0,green,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 34 | 32,32,Taiwan,金讚咖啡農莊園(Jinzan Coffee Estate),2022臺南市精品咖啡評鑑批次,金讚咖啡農莊園(Jinzan Coffee Estate),,Taiwan Coffee Laboratory,668,"Dongshan Dist., Tainan City","葉明讚 (YE,MING-ZAN)",4,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"June 8th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,8.08,8.17,7.67,7.83,7.67,7.92,10.0,10.0,10.0,8.0,0.0,85.33,11.3,0,0,green,0,"June 8th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 35 | 33,33,Ethiopia,Eshetu farm,Washed Limmu,Lata Agri export,010/1081,Alo Coffee,1950,Oromia,Eshetu,320,60 kg,METAD Agricultural Development plc,2021 / 2022,"June 6th, 2022",Tamiru Tadesse Tesema,Ethiopian Heirlooms,Completed,Washed / Wet,7.67,7.83,7.83,8.0,8.0,8.0,10.0,10.0,10.0,8.0,0.0,85.33,9.9,0,2,green,3,"June 6th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 36 | 34,34,Ethiopia,Uraga Bisrat washing station,0065,dry mill,ICO: 010/ 0218/0065,TADESSE DESTA IMPORT & EXPORT,2150 - 2350,Southern Ethiopia Guji,Bisrat Melaku,320,60 kg,METAD Agricultural Development plc,2021 / 2022,"September 30th, 2022",Tadessa Desta Amene,Ethiopian Heirlooms,Completed,Natural / Dry,8.0,8.08,8.0,8.0,7.67,7.75,10.0,10.0,10.0,7.83,0.0,85.33,12.3,0,3,yellow green,4,"September 30th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 37 | 35,35,Ethiopia,YHAENU PLC FARM,1,GUJI COFFEE EXPORT P.L.C,010/0891/00041,yhaenu plc,1700,OROMIA,YHAENU PLC,320,19200 kg,METAD Agricultural Development plc,2021 / 2022,"December 12th, 2022",YHAENU PLC,Ethiopian Heirlooms,Completed,Washed / Wet,7.92,7.75,7.83,8.17,8.0,7.75,10.0,10.0,10.0,7.83,0.0,85.25,9.4,0,1,greenish,1,"December 12th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 38 | 36,36,Taiwan,卓武山咖啡農場,"The 2022 Pacific Rim Coffee Summit, T004",卓武山咖啡農場,,Taiwan Coffee Laboratory,1200,Chiayi,許定燁,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Hsu Ting Yey許定燁,Gesha,Completed,Washed / Wet,8.0,7.92,7.83,7.92,7.83,7.83,10.0,10.0,10.0,7.92,0.0,85.25,9.5,0,0,bluish-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 39 | 37,37,Taiwan,御香咖啡園 YU SIANG Coffee Estate,2022臺南市精品咖啡評鑑批次,御香咖啡園 YU SIANG Coffee Estate,,Taiwan Coffee Laboratory,650,"Dongshan Dist., Tainan City","陳建源(CHEN, JIAN-YUAN)",20,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"June 8th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Pulped natural / honey,8.25,8.08,7.83,7.75,7.67,7.75,10.0,10.0,10.0,7.92,0.0,85.25,11.3,0,0,green,0,"June 8th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 40 | 38,38,Kenya,Small Holder,5516,NKG,,IBERO (K) LTD,1600-1900,Central,Small Holder,300,60 kg,Kenya Coffee Traders Association,2022 / 2023,"February 28th, 2023",Judith Murimi,SL28,Completed,Washed / Wet,8.17,7.75,7.83,7.58,7.92,8.0,10.0,10.0,10.0,8.0,0.0,85.25,9.2,0,0,greenish,1,"February 28th, 2024",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 41 | 39,39,Taiwan,皇庭咖啡莊園,202203,yes,non,宸嶧國際有限公司,850,"Caoling , Gukeng Township, Yunlin County",陳榮豐,20,1 kg,Blossom Valley International宸嶧國際,2017 / 2018,"October 24th, 2022",CHEN RONG FENG,Gesha,Completed,Washed / Wet,7.75,7.92,7.75,8.0,7.83,7.92,10.0,10.0,10.0,8.0,0.0,85.17,10.3,0,0,bluish-green,0,"October 24th, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 42 | 40,40,Taiwan,花蓮縣秀林鄉特用作物（咖啡）產銷第一班Agriculture Production and Marketing Groups of Hualien Shlin township special crop (coffee) 1st class,2022/01,花蓮縣秀林鄉特用作物（咖啡）產銷第一班Agriculture Production and Marketing Groups of Hualien Shlin township special crop (coffee) 1st class,,Taiwan Coffee Laboratory,300-500,秀林鄉Show Linxia Township,李志祥 Li Zhi-xia,1,10 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"December 12th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Typica,Completed,Natural / Dry,8.0,7.92,7.83,7.92,7.75,7.75,10.0,10.0,10.0,7.92,0.0,85.08,10,0,0,brownish,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 43 | 41,41,Taiwan,八一高地,屏東縣三地門鄉德文段,乾燥機、脫殼機,,茂泰生技股份有限公司,1000,台灣屏東,陳科翰,1,2 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"December 30th, 2022",Ethan Lee 李宗儒,Typica,Completed,Washed / Wet,8.0,8.08,7.67,7.75,7.92,7.83,10.0,10.0,10.0,7.83,0.0,85.08,10.5,0,0,greenish,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 44 | 42,42,Taiwan,香夾蘭莊園,A26-Northern Taiwan Specialty Coffee Evaluation,香夾蘭莊園,,Taiwu Coffee Cooperative,800,苗栗縣,黃簡秋蘭,1,50 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Gesha,Completed,Washed / Wet,8.0,7.92,7.67,8.0,7.75,7.83,10.0,10.0,10.0,7.92,0.0,85.08,10,0,0,pale yellow,5,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 45 | 43,43,Uganda,Gideon Kule,7938,Dry Mill,11/35,Kyagalanyi Coffee Limited,1905,Rwenzori,Kyagalanyi coffee limited,320,60 kg,Uganda Coffee Development Authority,2021 / 2022,"June 29th, 2022",KYAGALANYI COFFEE LIMITED,SL14,Completed,Washed / Wet,8.0,7.92,7.75,7.75,7.75,7.92,10.0,10.0,10.0,7.92,0.0,85.0,11,0,0,green,1,"June 29th, 2023",Uganda Coffee Development Authority,"Coffee House, Plot 35, Jinja Road, P.O. Box 7267, Kampala, Uganda",Brenda Kamara Kemigisha Mangeni - 256773040119 46 | 44,44,Taiwan,愛姬咖啡莊園iGfarm,2021/01,愛姬咖啡莊園iGfarm,,Taiwan Coffee Laboratory,150,壽豐鄉Shoufeng Township,劉孟宗 LIU MENG TSUNG,1,50 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"December 12th, 2022",Liu Meng Tsung劉孟宗,Typica,Completed,,7.92,8.0,7.92,8.0,7.58,7.75,10.0,10.0,10.0,7.83,0.0,85.0,10.9,0,0,green,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 47 | 45,45,Taiwan,青山坪咖啡農場,"The 2022 Pacific Rim Coffee Summit,T011",青山坪咖啡農場,,Taiwan Coffee Laboratory,800,Yunlin,王清連,6,50 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Natural / Dry,8.17,8.08,7.83,7.67,7.67,7.75,10.0,10.0,10.0,7.83,0.0,85.0,10.1,0,0,yellow green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 48 | 46,46,Guatemala,varias fincas,11/15/118,Beneficio Pastores,11/15/118,"Peter Schoenfeld, S.A.",1600,Antigua,Varios productores,600,30 kg,Asociacion Nacional Del Café,2022 / 2023,"April 17th, 2023",Yesica Alejandra Martìnez Vàsquez,Caturra,Completed,Washed / Wet,7.67,8.08,7.67,8.0,7.92,7.83,10.0,10.0,10.0,7.83,0.0,85.0,9.9,0,1,green,1,"April 16th, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 49 | 47,47,Guatemala,PEÑA BLANCA,11/951/279,BENEFICIO LAS AMERICAS,11/951/279,"OLAM AGRO GUATEMALA, S.A.",4700,Santa Rosa,PABLO CHUY,632,30 kg,Asociacion Nacional Del Café,2022 / 2023,"February 23rd, 2023",Yesica Alejandra Martìnez Vàsquez,Catuai,Completed,Washed / Wet,7.67,8.0,7.75,7.92,8.0,7.83,10.0,10.0,10.0,7.83,0.0,85.0,11.3,0,0,green,4,"February 23rd, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 50 | 48,48,Guatemala,san francisco cotzal,11/441/50,"inmobiliaria e inversiones dos mil, s.a.",11/441/50,"inmobiliaria e inversiones dos mil, s.a.",1600,quiche,san francisco cotzal,275,69 kg,Asociacion Nacional Del Café,2021 / 2022,"June 22nd, 2022",Angelica Paola Citan Lopez,Caturra,Completed,Washed / Wet,7.83,7.92,7.75,8.0,7.75,7.75,10.0,10.0,10.0,7.92,0.0,84.92,11.7,0,3,green,1,"June 22nd, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 51 | 49,49,Taiwan,六曲窩,A03-Northern Taiwan Specialty Coffee Evaluation,六曲窩,,Taiwu Coffee Cooperative,350-400,新竹縣,黃俊淦,1,13 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Washed / Wet,7.92,7.92,7.83,7.83,7.75,7.83,10.0,10.0,10.0,7.83,0.0,84.92,9.5,0,0,green,2,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 52 | 50,50,Taiwan,北平山林,A23-Northern Taiwan Specialty Coffee Evaluation,北平山林,,Taiwu Coffee Cooperative,230,新竹縣,戴禎男,1,4 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Yellow Bourbon,Completed,Natural / Dry,8.0,8.0,7.75,7.75,7.67,7.75,10.0,10.0,10.0,7.92,0.0,84.83,9.7,0,0,brownish,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 53 | 51,51,Indonesia,PT Indo CafCo North Sumatera,016/1513/262,PT Indo CafCo,,InterAmerican Coffee,1200,Aceh Tengah,PT Indo CafCo North Sumatera,320,60 kg,NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),2022,"September 23rd, 2022",Charles Umeano,Catimor,Completed,,7.83,7.92,7.75,7.83,7.83,7.83,10.0,10.0,10.0,7.83,0.0,84.83,11.9,0,3,bluish-green,2,"September 23rd, 2023",NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),"Bahnhofstrasse 22 6300 Zug, Switzerland",Tirza Odermatt - +41 41 728 72 81 54 | 52,52,Peru,Ruya Yayu Farm,"The 2022 Pacific Rim Coffee Summit,PE02",no.,,Taiwan Coffee Laboratory,1750,Villa Rica,Ruya Yayu,3,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,8.0,8.0,7.83,7.83,7.58,7.83,10.0,10.0,10.0,7.75,0.0,84.83,10.7,0,0,greenish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 55 | 53,53,"Tanzania, United Republic Of",IYENGA,S59588/P03989,CITY COFFEE LTD,0033/0004,VOLCAFE/TaylorWinch Tanzania Ltd,1654,Mbeya,IYENGA AMCOS,620,30 kg,Kenya Coffee Traders Association,2022 / 2023,"November 9th, 2022",Balam Hinyula,Bourbon,Completed,Washed / Wet,7.92,7.75,7.75,7.92,7.83,7.83,10.0,10.0,10.0,7.83,0.0,84.83,11.2,0,0,greenish,0,"November 9th, 2023",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 56 | 54,54,Taiwan,優遊吧斯瑪翡咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T029",優遊吧斯瑪翡咖啡莊園,,Taiwan Coffee Laboratory,1300,Chiayi,鄭虞坪,1,25 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Natural / Dry,7.83,7.83,7.67,7.67,7.83,8.0,10.0,10.0,10.0,8.0,0.0,84.83,9.5,0,0,greenish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 57 | 55,55,Taiwan,森悅高峰咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T039",森悅高峰咖啡莊園,,Taiwan Coffee Laboratory,1400,Nantou,吳振宏,1,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Washed / Wet,7.67,7.92,7.92,7.83,7.75,7.83,10.0,10.0,10.0,7.83,0.0,84.75,10.4,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 58 | 56,56,Brazil,Fazenda Guariroba,FBT111,Wet-Hulling,002-1894-0006,Mirai Seeds Corp.,1100,Campo das Vertentes,Homero Paiva,5,36 kg,Japan Coffee Exchange,2022,"February 13th, 2023",Marcelo Itoh,Yellow Bourbon,Completed,Double Carbonic Maceration / Natural,7.83,7.92,7.75,7.92,7.67,7.83,10.0,10.0,10.0,7.83,0.0,84.75,11.2,0,1,green,5,"February 13th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 59 | 57,57,Panama,La Santa,2-237-05,La Santa,2-237-05,Panamerican Coffee Trading,1200,Boquete,La Santa,200,30 kg,Specialty Coffee Association of Costa Rica,2022 / 2023,"April 26th, 2023",Rodrigo Soto,Catuai,Completed,Washed / Wet,7.83,7.83,7.75,7.92,7.83,7.75,10.0,10.0,10.0,7.83,0.0,84.75,10.3,0,1,bluish-green,5,"April 25th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 60 | 58,58,Taiwan,嵐雲綠海咖啡,屏東縣瑪家鄉,乾燥機、脫殼機,,茂泰生技股份有限公司,1200,台灣屏東,卓榮華,1,2 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"December 30th, 2022",Ethan Lee 李宗儒,Yellow Bourbon,Completed,Pulped natural / honey,7.92,8.08,7.67,7.92,7.67,7.75,10.0,10.0,10.0,7.75,0.0,84.75,10,0,0,blue-green,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 61 | 59,59,Guatemala,Varias Fincas,11/15/117,Varios Beneficios,11/15/117,"Peter Schoenfeld, S.A.",1600,Huehuetenango,Varios Productores,600,30 kg,Asociacion Nacional Del Café,2022 / 2023,"April 28th, 2023",Yesica Alejandra Martìnez Vàsquez,Caturra,Completed,Washed / Wet,7.67,8.0,7.67,7.83,7.92,7.67,10.0,10.0,10.0,7.92,0.0,84.67,10.6,0,0,green,1,"April 27th, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 62 | 60,60,Guatemala,SAN RAFAEL URIAS VALDES,11/54876/03,ECO COFFEE,11/54876/03,"VALBROS, S. A.",4895,ANTIGUA GUATEMALA,"VALBROS, S. A.",66,30 kg,Asociacion Nacional Del Café,2021 / 2022,"May 19th, 2022",Angelica Paola Citan Lopez,Bourbon,Completed,Natural / Dry,7.83,8.0,7.67,7.83,7.75,7.75,10.0,10.0,10.0,7.83,0.0,84.67,10.9,0,3,yellow-green,2,"May 19th, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 63 | 61,61,Costa Rica,Gamboa Farm,12075,Beneficio Montañas del Diamante,5-0025-0131,CECA S.A.,1850,Tarrazu,Martin Gutierrez,260,69 kg,Specialty Coffee Association of Costa Rica,2022 / 2023,"April 19th, 2023",Joselyn Morales Quesada,Caturra,Completed,Washed / Wet,7.58,7.83,7.5,7.67,7.83,7.67,10.0,10.0,10.0,8.58,0.0,84.67,10,0,1,green,2,"April 18th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 64 | 62,62,Taiwan,羅馬8號莊園,A11-Northern Taiwan Specialty Coffee Evaluation,羅馬8號莊園,,Taiwu Coffee Cooperative,200-300,新竹縣,羅政宏,1,16 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.83,7.83,7.75,7.75,7.75,7.75,10.0,10.0,10.0,7.92,0.0,84.58,9.6,0,0,greenish,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 65 | 63,63,Taiwan,大鋤花間(Dachu Coffee Estate),2022臺南市精品咖啡評鑑批次,大鋤花間(Dachu Coffee Estate),,Taiwan Coffee Laboratory,700,"( Dongshan Dist., Tainan City)","郭雅聰（KUO,YA-TSUNG）",16,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"June 8th, 2022","KUO, YA-TSUNG",Gesha,Completed,Pulped natural / honey,8.17,7.83,7.67,7.83,7.67,7.67,10.0,10.0,10.0,7.75,0.0,84.58,11.5,0,0,green,0,"June 8th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 66 | 64,64,Nicaragua,Finca Las Dos Marias,10 1.1,"Compare Coperativo Condega, Esteli, Nicaragua",,NicaNoLA Coffee,1350,ESTELI,NicaNoLA Coffee,74,45 kg,Specialty Coffee Association,2021 / 2022,"June 9th, 2022",rene j alcebo,Catrenic,Completed,Natural / Dry,7.92,7.75,7.67,7.67,7.83,7.75,10.0,10.0,10.0,8.0,0.0,84.58,9.9,1,0,green,2,"June 9th, 2023",Specialty Coffee Association,*CURRENTLY NOT ACCEPTING SAMPLES**,Brit Amell (CQI) - bamell@coffeeinstitute.org - 67 | 65,65,Taiwan,雅慕伊咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T036",雅慕伊咖啡莊園,,Taiwan Coffee Laboratory,1250,Chiayi,浦瀚文,1,80 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Pu Han Wen,Gesha,Completed,Washed / Wet,8.08,7.83,7.67,7.67,7.67,7.75,10.0,10.0,10.0,7.92,0.0,84.58,11.2,0,0,green,2,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 68 | 66,66,Taiwan,名陽園,"The 2022 Pacific Rim Coffee Summit,T042",名陽園,,Taiwan Coffee Laboratory,1450,Chiayi,王政淵,1,104 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL34,Completed,Natural / Dry,7.83,8.0,7.67,7.75,7.67,7.75,10.0,10.0,10.0,7.92,0.0,84.58,10.3,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 69 | 67,67,Vietnam,CupnCare,"The 2022 Pacific Rim Coffee Summit,VN02",CupnCare,,Taiwan Coffee Laboratory,650,Quang Tri,TONG PHUC LAM TRADING SERVICES COMPANY LIMITED,3,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Catimor,Completed,Natural / Dry,8.0,7.83,7.75,7.67,7.58,7.83,10.0,10.0,10.0,7.92,0.0,84.58,11.6,0,0,brownish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 70 | 68,68,Costa Rica,La Cumbre,CQU2022018,La Montana Tarrazu MIll,,Coffee Quality Union,1900,"Los Santos,Tarrazu",Santa Maria de Dota,1,22 kg,Japan Coffee Exchange,2022,"October 4th, 2022",Coffee Quality Union,Gesha,Completed,Washed / Wet,7.75,7.83,7.67,7.83,7.75,7.75,10.0,10.0,10.0,7.92,0.0,84.5,11.7,0,1,green,0,"October 4th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 71 | 69,69,Taiwan,苗55咖啡莊園,A37-Northern Taiwan Specialty Coffee Evaluation,苗55咖啡莊園,,Taiwu Coffee Cooperative,520,苗栗縣,李鴻儀,1,300 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Pulped natural / honey,7.75,7.92,7.83,7.75,7.75,7.75,10.0,10.0,10.0,7.75,0.0,84.5,11.3,0,0,bluish-green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 72 | 70,70,Honduras,La Cuchilla,36,Global Coffee,13-111-027,Mercon Honduras,1368,"Centro, Lagunetillas-Ajuterique, Comayagua",Jose Nahum Maldonado,340,69 kg,Instituto Hondureño del Café,2022 / 2023,"April 25th, 2023",Comercial Internacional de Granos de Honduras SA de CV,Catuai,Completed,Washed / Wet,7.83,7.92,7.75,7.75,7.75,7.75,10.0,10.0,10.0,7.75,0.0,84.5,9.8,0,0,green,3,"April 24th, 2024",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 73 | 71,71,Ethiopia,TRACON TRADING PLC,0712,5.2Ha,010/0148/0712,Tracon Trading PLC,1943,Ethiopia,TRACON TRADING PLC,584,30 kg,Blossom Valley International宸嶧國際,2021 / 2022,"August 23rd, 2022",李晓斐 LI XIAO FEI,Ethiopian Heirlooms,Completed,Washed / Wet,7.92,7.83,7.75,7.92,7.58,7.67,10.0,10.0,10.0,7.83,0.0,84.5,10.9,0,0,green,9,"August 23rd, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 74 | 72,72,Taiwan,917農場 (917 Farm),2021/11,917農場 (917 Farm),,Taiwan Coffee Laboratory,400,玉里鎮Yuli Township,黃怡瑄 Huang Yi-xuan,1,20 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"December 12th, 2022",黃怡瑄,Typica,Completed,Natural / Dry,8.08,7.92,7.75,7.83,7.5,7.58,10.0,10.0,10.0,7.83,0.0,84.5,10.2,0,0,green,0,"December 12th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 75 | 73,73,Taiwan,皇庭咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T031",皇庭咖啡莊園,,Taiwan Coffee Laboratory,850,Yunlin,陳榮豐,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Washed / Wet,7.83,8.0,7.5,7.75,7.75,7.75,10.0,10.0,10.0,7.83,0.0,84.42,10.1,0,0,bluish-green,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 76 | 74,74,Guatemala,Finca Alta Luz,11-63-657,,11-63-657,"Retrillas del pacifico, s.a.",1300-1400,Huehuetenango,Maria de los Angeles Perez,600,30 kg,Asociacion Nacional Del Café,2022 / 2023,"April 26th, 2023",Yesica Alejandra Martìnez Vàsquez,Bourbon,Completed,Washed / Wet,7.67,7.83,7.75,7.75,7.83,7.75,10.0,10.0,10.0,7.75,0.0,84.33,9.2,0,1,green,5,"April 25th, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 77 | 75,75,United States (Hawaii),Miranda's Farm,Islander’s Coffee for Pacific Rim Summit,Greenwell,,Taiwan Coffee Laboratory,1300,Ka'u district of Big Island,Jose & Berta Miranda,10,10 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 9th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Catuai,Completed,Washed / Wet,7.92,7.83,7.75,7.92,7.5,7.67,10.0,10.0,10.0,7.75,0.0,84.33,10.1,3,0,yellow-green,7,"November 9th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 78 | 76,76,Ethiopia,Bisrat Melaku Washing Station,0065,Washing Station,010/ 0218/0065,Tadesse Desta import export,2361,Addis Ababa,Bisrat Melaku,320,60 kg,METAD Agricultural Development plc,2021 / 2022,"September 19th, 2022",Tadesse Desta,Ethiopian Heirlooms,Completed,Natural / Dry,7.83,7.75,7.58,7.92,8.0,7.5,10.0,10.0,10.0,7.75,0.0,84.33,11,0,5,yellow green,4,"September 19th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 79 | 77,77,El Salvador,San Nicolas,"The 2022 Pacific Rim Coffee Summit,SV01",San Nicolas,,Taiwan Coffee Laboratory,1500,Chalatenango,various producers,20,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Pacamara,Completed,Pulped natural / honey,7.83,7.83,7.83,7.83,7.67,7.67,10.0,10.0,10.0,7.67,0.0,84.33,10.3,0,0,brownish,4,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 80 | 78,78,Colombia,Asociacion Tayronaca,NPCO-17418,Trilladora Santa Tirsa,,Sucafina NA,2100,Sierra Nevada de Santa Marta,Grupo Tap,275,70 kg,ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,2021 / 2022,"May 11th, 2022",Sucafina Colombia SAS,Castillo and Colombia blend,Completed,Washed / Wet,7.75,7.75,7.75,7.75,7.83,7.67,10.0,10.0,10.0,7.83,0.0,84.33,11.6,0,0,green,1,"May 11th, 2023",ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,Calle 60A #3D-32 / Planta Baja / CQ Lab ASECC,Carlos Julian Ruiz - 3212026991 81 | 79,79,Indonesia,"Lintong Nihuta/Dolok Sanggul,Sumatera Utara",CQU2022018,"Lintong Nihuta/Dolok Sanggul,Sumatera Utara",,Coffee Quality Union,1250-1350,"Lintong Nihuta/Dolok Sanggul,Sumatera Utara","Lintong Nihuta/Dolok Sanggul,Sumatera Utara",1,60 kg,Japan Coffee Exchange,2022,"September 21st, 2022",Coffee Quality Union,"Jember,TIM-TIM,Ateng",Completed,Wet Hulling,7.67,7.67,7.83,7.83,7.67,7.75,10.0,10.0,10.0,7.83,0.0,84.25,11.5,0,1,blue-green,1,"September 21st, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 82 | 80,80,Guatemala,San jose del lago,11/15/96,San jose del lago,11/15/96,"Peter Schoenfeld, S.A.",1600,Atitlán,"Cafetalera Paquim, S.A.",55,30 kg,Asociacion Nacional Del Café,2022 / 2023,"April 17th, 2023",Yesica Alejandra Martìnez Vàsquez,Typica,Completed,Washed / Wet,7.58,7.92,7.67,7.75,7.83,7.75,10.0,10.0,10.0,7.75,0.0,84.25,10,0,0,green,1,"April 16th, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 83 | 81,81,Madagascar,Mandroso,1,On the farm (mechanical huller and polisher / sorting by hand),,Vao Vao Sarl,1500,Itasy,Marc Dumont,5,60 kg,NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),2022,"December 12th, 2022",Marc Dumont,Bourbon,Completed,Washed / Wet,7.92,7.92,7.58,7.75,7.58,7.67,10.0,10.0,10.0,7.83,0.0,84.25,12.1,0,0,blue-green,0,"December 12th, 2023",NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),"Bahnhofstrasse 22 6300 Zug, Switzerland",Tirza Odermatt - +41 41 728 72 81 84 | 82,82,Honduras,La Cuchilla,8,Global Coffee,13-111-030,Mercon Honduras,1368,"Centro, Lagunetillas-Ajuterique, Comayagua",Jose Nahum Maldonado,345,30 kg,Instituto Hondureño del Café,2022 / 2023,"April 25th, 2023",Comercial Internacional de Granos de Honduras SA de CV,Catuai,Completed,Washed / Wet,7.75,7.75,7.58,7.83,7.75,7.75,10.0,10.0,10.0,7.75,0.0,84.17,10.2,0,0,green,2,"April 24th, 2024",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 85 | 83,83,Guatemala,san francisco cotzal,11/441/49,"inmobiliaria e inversiones dos mil, s.a.",11/441/49,"inmobiliaria e inversiones dos mil, s.a.",1600,quiche,san francisco cotzal,275,69 kg,Asociacion Nacional Del Café,2021 / 2022,"May 19th, 2022",Angelica Paola Citan Lopez,Caturra,Completed,Washed / Wet,7.58,7.92,7.58,7.83,7.75,7.67,10.0,10.0,10.0,7.75,0.0,84.08,11,0,3,green,2,"May 19th, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 86 | 84,84,Taiwan,竹崙子莊園,A32-Northern Taiwan Specialty Coffee Evaluation,竹崙子莊園,,Taiwu Coffee Cooperative,150,新北市,邱建明,1,110 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Pulped natural / honey,7.83,7.92,7.83,7.58,7.58,7.67,10.0,10.0,10.0,7.67,0.0,84.08,10.8,0,0,greenish,2,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 87 | 85,85,Taiwan,元富咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T017",元富咖啡莊園,,Taiwan Coffee Laboratory,800,Yunlin,李泓錡,1,80 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Natural / Dry,7.92,7.75,7.67,7.75,7.75,8.0,9.33,10.0,10.0,7.92,0.0,84.08,10.6,0,0,yello-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 88 | 86,86,Guatemala,varias fincas,11/15/51,El Trèbol/Lìnea Gourmet,11/15/51,"Peter Schoenfeld, S.A.",1500-1600,Oriente Santa rosa,varios productores,430,30 kg,Asociacion Nacional Del Café,2022 / 2023,"March 22nd, 2023",Yesica Alejandra Martìnez Vàsquez,Caturra,Completed,Washed / Wet,7.67,7.83,7.67,7.83,7.75,7.67,10.0,10.0,10.0,7.67,0.0,84.08,11,0,1,green,2,"March 21st, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 89 | 87,87,Guatemala,varias fincas,11/15/59,El Trebol/Linea Gourmet,11/15/59,"Peter Schoenfeld, S.A.",1500-1600,Sierra de las minas,varios productores,200,30 kg,Asociacion Nacional Del Café,2022 / 2023,"March 22nd, 2023",Yesica Alejandra Martìnez Vàsquez,Caturra,Completed,Washed / Wet,7.67,7.92,7.67,7.75,7.67,7.58,10.0,10.0,10.0,7.75,0.0,84.0,11,0,2,green,2,"March 21st, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 90 | 88,88,Honduras,finca de la casa,"The 2022 Pacific Rim Coffee Summit,HN04",De la casa,,Taiwan Coffee Laboratory,1800,"San Andrés, Lempira",Irma Consuelo Bonilla Hernandez,16,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022","Kao,SIng-jay",Typica,Completed,Pulped natural / honey,7.75,7.75,7.75,7.67,7.75,7.67,10.0,10.0,10.0,7.67,0.0,84.0,9.4,0,0,green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 91 | 89,89,"Tanzania, United Republic Of",KONGONI ESTATE,CN 4127230031/P-9139,RAFIKI MILL,033/DE/491/001,C.DORMAN SEZ LTD,1600-1750,ARUSHA,DORMAN (T) LTD,200,60 kg,Kenya Coffee Traders Association,2022 / 2023,"January 3rd, 2023",Gilbert Maina,Bourbon,Completed,Washed / Wet,7.58,7.67,7.75,7.75,7.75,7.75,10.0,10.0,10.0,7.75,0.0,84.0,9.8,0,0,greenish,3,"January 3rd, 2024",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 92 | 90,90,Ethiopia,Ecom Agroindustrial,1077,Beneficio humedo,010-0424-0586,Descafeinadores Mexicano SA. de CV,1800,Sidama,Ecom Agroindustrial,300,60 kg,Centro Agroecológico del Café A.C.,2021 / 2022,"November 18th, 2022",Descafeinadores Mexicanos S.A de C.V,Ethiopian Heirlooms,Completed,Washed / Wet,8.0,7.75,7.5,7.67,7.67,7.67,10.0,10.0,10.0,7.75,0.0,84.0,11.3,1,1,green,1,"November 18th, 2023",Centro Agroecológico del Café A.C.,"Instituto de Ecología A. C., Campus III Edificio A Planta Baja Carretera Antigua a Coatepec No. 351 Col. El Haya C.P. 91070 Xalapa, Veracruz, México.",Stephany Escamilla Femat - Tel. +52 228 8421800 Ext. 3092 93 | 91,91,"Tanzania, United Republic Of",MASHIMA AMCOS,CN 4127220159/4189220459,GOURMET COFFEE MILL,033/0010/022,DORMAN (T) LTD,1400-1700,KILIMANJARO,DORMAN,320,60 kg,Kenya Coffee Traders Association,2022 / 2023,"November 21st, 2022",Gilbert Maina,Bourbon,Completed,Washed / Wet,7.75,7.58,7.58,7.92,7.67,7.75,10.0,10.0,10.0,7.75,0.0,84.0,11.6,0,0,greenish,2,"November 21st, 2023",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 94 | 92,92,Colombia,COO,3-002-00883,Laumayer Armenia,,InterAmerican Coffee,1400-1700,Huila,Cooperativa Central de Caficultores del Huila,275,70 kg,NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),2022,"July 27th, 2022",Charles Umeano,Caturra,Completed,Washed / Wet,7.67,7.83,7.58,7.92,7.67,7.67,10.0,10.0,10.0,7.67,0.0,84.0,13.3,0,2,green,3,"July 27th, 2023",NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),"Bahnhofstrasse 22 6300 Zug, Switzerland",Tirza Odermatt - +41 41 728 72 81 95 | 93,93,Costa Rica,Gamboa Farm,12077-01,Beneficio Montañas del Diamante,5-0025-0132,CECA S.A.,1850,Tarrazu,Martin Gutierrez,250,35 kg,Specialty Coffee Association of Costa Rica,2022 / 2023,"April 19th, 2023",Joselyn Morales Quesada,Caturra,Completed,Washed / Wet,7.67,7.92,7.58,7.75,7.67,7.58,10.0,10.0,10.0,7.75,0.0,83.92,9.5,0,0,green,2,"April 18th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 96 | 94,94,Guatemala,El Morito,"The 2022 Pacific Rim Coffee Summit,GT01",Sube,,Taiwan Coffee Laboratory,1900,New Oriente,Various producers,1,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Gesha,Completed,Natural / Dry,7.83,7.83,7.58,7.67,7.67,7.58,10.0,10.0,10.0,7.75,0.0,83.92,11.9,0,0,greenish,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 97 | 95,95,Guatemala,San jose del lago,11/15/95,San jose del lago,11/15/95,"Peter Schoenfeld, S.A.",1600,Atitlán,"Cafetalera Paquim, S.A.",35,30 kg,Asociacion Nacional Del Café,2022 / 2023,"April 17th, 2023",Yesica Alejandra Martìnez Vàsquez,Bourbon,Completed,Washed / Wet,7.58,7.83,7.58,7.75,7.67,7.75,10.0,10.0,10.0,7.75,0.0,83.92,10,0,1,green,2,"April 16th, 2024",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 98 | 96,96,Thailand,Baan San Charoen,CQU2022016,Baan San Charoen,,Coffee Quality Union,1300-1400,Nan,Phaibul Kitcharoen,1,30 kg,Japan Coffee Exchange,2022,"September 21st, 2022",Coffee Quality Union,Catimor,Completed,Natural / Dry,7.75,7.67,7.58,7.75,7.75,7.67,10.0,10.0,10.0,7.75,0.0,83.92,11.6,0,0,yellowish,3,"September 21st, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 99 | 97,97,Colombia,,3/37/1370,"Racafé & CIA S.C.A, Km 5 Vía Pereira",3/37/1370,Marubeni Corporation,1411,Pereira,RACAFE & CIA SCA,375,70 kg,Japan Coffee Exchange,2022 / 2023,"April 17th, 2023",Ikuto Uehara,,Completed,Washed / Wet,7.67,7.75,7.67,7.75,7.67,7.67,10.0,10.0,10.0,7.67,0.0,83.83,11.9,0,1,green,1,"April 16th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 100 | 98,98,Guatemala,FINCA ALTA LUZ,11/63/908,,11/63/908,"RETRILLAS DEL PACIFICO, S. A.",1400,HUEHUETENANGO,MARIA DE LOS ANGELES PEREZ,600,30 kg,Asociacion Nacional Del Café,2021 / 2022,"May 13th, 2022",Angelica Paola Citan Lopez,"BOURBON, CATURRA Y CATIMOR",Completed,Natural / Dry,7.58,7.83,7.67,7.67,7.67,7.67,10.0,10.0,10.0,7.75,0.0,83.83,10.8,0,0,green,4,"May 13th, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 101 | 99,99,Guatemala,SAN RAFAEL URIAS VALDES,AMNI-22-0905,"BENEFICIO SANTA RITA, S. A.",11/54876/01,Asociación Nacional del Cafe,4895 A 5650,ANTIGUA GUATEMALA,"VALBROS, S. A.",635,30 kg,Asociacion Nacional Del Café,2021 / 2022,"May 19th, 2022",Angelica Paola Citan Lopez,Bourbon,Completed,Washed / Wet,7.58,7.92,7.5,7.67,7.75,7.67,10.0,10.0,10.0,7.75,0.0,83.83,10.9,0,1,greenish,4,"May 19th, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 102 | 100,100,Ethiopia,Gerbicho Lela Cooperative,1,Sidama Coffee Farmers Cooperative Union,010/0145/0064,Taylor Winch Coffee Ltd,2000,Sidama,Sidama Coffee Farmers Cooperative Union,100,60 kg,Kenya Coffee Traders Association,2021 / 2022,"September 9th, 2022",Taylor Winch (Coffee) Ltd.,Ethiopian Heirlooms,Completed,Washed / Wet,7.83,7.67,7.5,7.92,7.5,7.67,10.0,10.0,10.0,7.75,0.0,83.83,12,0,0,green,12,"September 9th, 2023",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 103 | 101,101,Colombia,N / A,3-0068-00886,Trilladora Popayán,3-0068-00886,ECOM COLOMBIA,1700,Cauca,Regional producers,285,70 kg,ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,2022 / 2023,"February 22nd, 2023",Raúl Vargas,Caturra,Completed,Washed / Wet,7.92,7.75,7.42,7.58,7.92,7.67,10.0,10.0,10.0,7.58,0.0,83.83,12.1,2,5,green,5,"February 22nd, 2024",ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,Calle 60A #3D-32 / Planta Baja / CQ Lab ASECC,Carlos Julian Ruiz - 3212026991 104 | 102,102,United States (Hawaii),various farms,"The 2022 Pacific Rim Coffee Summit,US02",Aloha Hills Kona Coffee,,Taiwan Coffee Laboratory,400-600,Ka'u,Isla Custom Coffees,4,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Typica,Completed,Washed / Wet,7.67,7.92,7.58,7.58,7.58,7.75,10.0,10.0,10.0,7.75,0.0,83.83,11.8,0,3,green,3,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 105 | 103,103,Colombia,La Gallera,"The 2022 Pacific Rim Coffee Summit,CO02",La Gallera,,Taiwan Coffee Laboratory,1800,Tolima,Oscar Javier Paez & Family,40,35 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",PeiHsun Lin,Bourbon Sidra,Completed,Pulped natural / honey,7.67,7.92,7.67,7.58,7.67,7.67,10.0,10.0,10.0,7.58,0.0,83.75,10.6,0,0,greenish,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 106 | 104,104,Mexico,Finca Custepec,312,exportadora de cafe california,016-2028-0312,Exportadora Café California,1200,Chiapas,Armando Pohlenz,600,30 kg,Centro Agroecológico del Café A.C.,2022 / 2023,"April 5th, 2023",ANDREAS KUSSMAUL,Sarchimor,Completed,Washed / Wet,7.67,7.67,7.58,7.67,7.83,7.58,10.0,10.0,10.0,7.75,0.0,83.75,11.7,4,0,green,12,"April 4th, 2024",Centro Agroecológico del Café A.C.,"Instituto de Ecología A. C., Campus III Edificio A Planta Baja Carretera Antigua a Coatepec No. 351 Col. El Haya C.P. 91070 Xalapa, Veracruz, México.",Stephany Escamilla Femat - Tel. +52 228 8421800 Ext. 3092 107 | 105,105,Colombia,,,,,Coffee Quality Institute,,,,1,1 kg,Barista and Coffee Academy of Asia,2022,"September 26th, 2022",Coffee Quality Institute,,Completed,,7.83,7.75,7.5,7.58,7.67,7.67,10.0,10.0,10.0,7.67,0.0,83.67,12.4,1,0,greenish,9,"September 26th, 2023",Barista and Coffee Academy of Asia,"The Place Bldg., Tunasan, Muntinlupa City, Metro Manila ​Philippines",Rosario Cruz - +63 995 344 5688 108 | 106,106,Taiwan,永舜咖啡莊園,202203,yes,non,Yongshun,1250,"Caoling , Gukeng Township, Yunlin County",蘇甘永,50,2 kg,Blossom Valley International宸嶧國際,2022,"October 24th, 2022",Yongshun,SL34,Completed,Washed / Wet,7.67,7.67,7.75,7.75,7.5,7.67,10.0,10.0,10.0,7.67,0.0,83.67,10,0,0,bluish-green,0,"October 24th, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 109 | 107,107,Myanmar,Aromatic,"The 2022 Pacific Rim Coffee Summit,MM01",Aromatic,,Taiwan Coffee Laboratory,1400,South Shan State,Lim,100,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",PeiHsun Lin,"Catimor,Catuai,Caturra,Bourbon",Completed,Natural / Dry,7.83,7.83,7.67,7.58,7.58,7.58,10.0,10.0,10.0,7.58,0.0,83.67,10.2,0,1,pale yellow,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 110 | 108,108,Taiwan,恆珊農場,A05-Northern Taiwan Specialty Coffee Evaluation,恆珊農場,,Taiwu Coffee Cooperative,200-400,新竹縣,羅以珊,1,13 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Pulped natural / honey,7.58,7.75,7.67,7.83,7.5,7.67,10.0,10.0,10.0,7.67,0.0,83.67,9.2,0,0,greenish,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 111 | 109,109,Honduras,Maria Bonita,"The 2022 Pacific Rim Coffee Summit,HN01","Cafe Organic Marcala, S.A. (COMSA)",,Taiwan Coffee Laboratory,1470,"San Jose, La Paz",Pedro Turcios,9,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Parainema,Completed,Natural / Dry,7.67,7.67,7.58,7.75,7.67,7.67,10.0,10.0,10.0,7.67,0.0,83.67,11.1,0,2,pale yellow,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 112 | 110,110,Taiwan,正源咖啡,A30-Northern Taiwan Specialty Coffee Evaluation,正源咖啡,,Taiwu Coffee Cooperative,250-400,新竹縣,彭文正,1,10 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Natural / Dry,7.58,7.67,7.5,7.75,7.75,7.67,10.0,10.0,10.0,7.67,0.0,83.58,8.4,0,0,green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 113 | 111,111,Taiwan,宋明光 蝙蝠洞莊園 蝙蝠洞莊園,A14-Northern Taiwan Specialty Coffee Evaluation,宋明光 蝙蝠洞莊園 蝙蝠洞莊園,,Taiwu Coffee Cooperative,250-300,新竹縣,宋明光,1,10 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.58,7.75,7.58,7.75,7.58,7.67,10.0,10.0,10.0,7.67,0.0,83.58,9.1,0,0,green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 114 | 112,112,Guatemala,SAN FRANCISCO COTZAL,P-4142,"INMOBILIARIA E INVERSIONES DOS MIL, S. A.",11/441/50,Asociación Nacional del Cafe,1600,QUICHE,SAN FRANCISCO COTZAL,275,69 kg,Asociacion Nacional Del Café,2021 / 2022,"May 19th, 2022",Angelica Paola Citan Lopez,Caturra,Completed,Washed / Wet,7.58,7.83,7.58,7.67,7.58,7.58,10.0,10.0,10.0,7.75,0.0,83.58,10.9,0,2,green,4,"May 19th, 2023",Asociacion Nacional Del Café,"5a Calle 0-50, Zona 14 Guatemala City, Guatemala 1014",Brayan Cifuentes - 115 | 113,113,Honduras,varias,AMNI-22-6011-1,Beneficio seco,13-167-471,Cafe Organico Marcala S.A de C.V.,1400,Marcala,comsa,260,69 kg,Instituto Hondureño del Café,2021 / 2022,"August 17th, 2022",Eliud Hernandez Gonzales,SHG,Completed,Washed / Wet,7.75,7.67,7.58,7.58,7.58,7.67,10.0,10.0,10.0,7.67,0.0,83.5,11.2,0,1,green,5,"August 17th, 2023",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 116 | 114,114,Colombia,La fortaleza,3-0104-00202 Popayán Supremo,Trilladora Pubenza,3-0104-00202,Cafe Colsuaves,1700,Popayán Cauca,La fortaleza,600,30 kg,ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,2022,"January 18th, 2023",pablo velosa,Caturra,Completed,Washed / Wet,7.75,7.75,7.5,7.58,7.83,7.5,10.0,10.0,10.0,7.58,0.0,83.5,12.2,0,0,bluish-green,2,"January 18th, 2024",ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,Calle 60A #3D-32 / Planta Baja / CQ Lab ASECC,Carlos Julian Ruiz - 3212026991 117 | 115,115,Thailand,Doi Tung Development Project,BOURBON 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,1200 - 1580,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Bourbon,Completed,Washed / Wet,7.42,7.83,7.58,7.67,7.67,7.75,10.0,10.0,10.0,7.58,0.0,83.5,13.1,0,0,green,0,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 118 | 116,116,Ethiopia,YHAENU PLC FARM,1,GUJI COFFEE EXPORT P.L.C,,yhaenu plc,1700,OROMIA,YHAENU PLC,320,19200 kg,METAD Agricultural Development plc,2021 / 2022,"November 30th, 2022",YHAENU PLC,Ethiopian Heirlooms,Completed,Washed / Wet,7.42,7.42,7.42,8.0,7.92,7.67,10.0,10.0,10.0,7.67,0.0,83.5,10.4,0,1,greenish,11,"November 30th, 2023",METAD Agricultural Development plc,"BAWA Center, 3rd Floor (Gerji), Addis Ababa, Ethiopia","Aman Adinew (Emebet Dinku) - +251-116-292534, +251-911-519196" 119 | 117,117,Thailand,Doi Nan,CQU2022011,Doi Nan,,Coffee Quality Union,1450,Suan Ya Lung,Chalerm,5,2 kg,Japan Coffee Exchange,2022,"June 16th, 2022",Coffee Quality Union,Java,Completed,Washed / Wet,7.67,7.67,7.5,7.67,7.58,7.67,10.0,10.0,10.0,7.67,0.0,83.42,11.6,0,2,green,0,"June 16th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 120 | 118,118,Uganda,Bugisu Shamba,035/170/5021210,Kawacom,,Kawacom uganda LTD,1400 - 1900,Mt Elgon,Kawacom Uganda Ltd,150,60 kg,Uganda Coffee Development Authority,2021 / 2022,"July 7th, 2022",Kawacom Uganda LTD,SL14,Completed,Washed / Wet,7.75,7.75,7.5,7.5,7.58,7.58,10.0,10.0,10.0,7.75,0.0,83.42,10.1,0,0,green,3,"July 7th, 2023",Uganda Coffee Development Authority,"Coffee House, Plot 35, Jinja Road, P.O. Box 7267, Kampala, Uganda",Brenda Kamara Kemigisha Mangeni - 256773040119 121 | 119,119,Taiwan,香香久溢咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T022",香香久溢咖啡莊園,,Taiwan Coffee Laboratory,1100,Chiayi,吳昭昀,1,40 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",Wu Jhao Yun,Typica + SL34,Completed,Washed / Wet,7.75,7.92,7.67,7.92,7.75,7.83,8.67,10.0,10.0,7.92,0.0,83.42,10.1,0,0,blue-green,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 122 | 120,120,Uganda,Masereka William,7969,Dry Mill,11/35,Kyagalanyi Coffee Limited,1905,Rwenzori,Kyagalanyi coffee limited,320,60 kg,Uganda Coffee Development Authority,2021 / 2022,"September 1st, 2022",KYAGALANYI COFFEE LIMITED,SL14,Completed,Washed / Wet,7.75,7.67,7.58,7.5,7.67,7.5,10.0,10.0,10.0,7.67,0.0,83.33,11.1,0,0,green,5,"September 1st, 2023",Uganda Coffee Development Authority,"Coffee House, Plot 35, Jinja Road, P.O. Box 7267, Kampala, Uganda",Brenda Kamara Kemigisha Mangeni - 256773040119 123 | 121,121,Taiwan,四分子道,A04-Northern Taiwan Specialty Coffee Evaluation,四分子道,,Taiwu Coffee Cooperative,200-300,新竹縣,林士傑,1,8 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.58,7.67,7.5,7.75,7.5,7.58,10.0,10.0,10.0,7.75,0.0,83.33,9.7,0,0,greenish,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 124 | 122,122,Guatemala,MI CAFECITO & LA PROVIDENCIA,1,MI CAFECITO + AGUA SANTA LA PROVIDENCIA + AGUA SANTA,,Mr.Brown Cafe,1280-1325,NEW ORIENTE & HUEHUETENANGO,500 PRODUCERS,320,60 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"December 30th, 2022",MR.BROWN CAFE,"MARSELLESA, CATUAI, CATURRA & MARSELLESA, ANACAFE 14, CATUAI",Completed,Washed / Wet,7.5,7.75,7.58,7.75,7.67,7.58,10.0,10.0,10.0,7.5,0.0,83.33,11.4,0,0,green,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 125 | 123,123,Taiwan,木華莊園,A21-Northern Taiwan Specialty Coffee Evaluation,木華莊園,,Taiwu Coffee Cooperative,300,桃園市,簡進財,1,80 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Washed / Wet,7.58,7.67,7.58,7.75,7.42,7.58,10.0,10.0,10.0,7.75,0.0,83.33,9.6,0,0,green,1,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 126 | 124,124,Colombia,El Laurel,1,Hulling facility,,Minka coffee company LTD,1100,Sierra Nevada de Santa Marta,Eric SELLIN,2,1 kg,FABB Academy of Coffee,2021 / 2022,"September 30th, 2022",piradaPKPL,Caturra,Completed,Washed / Wet,7.67,7.67,7.42,7.75,7.5,7.75,10.0,10.0,10.0,7.58,0.0,83.33,13.5,0,0,greenish,0,"September 30th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 127 | 125,125,Costa Rica,Gamboa Farm,12074,Beneficio Montañas del Diamante,5-0025-0130,CECA S.A.,1850,Tarrazu,Martin Gutierrez,320,69 kg,Specialty Coffee Association of Costa Rica,2022 / 2023,"April 19th, 2023",Joselyn Morales Quesada,Caturra,Completed,Washed / Wet,7.58,7.75,7.42,7.67,7.5,7.75,10.0,10.0,10.0,7.67,0.0,83.33,0,0,0,green,3,"April 18th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 128 | 126,126,Taiwan,東泓咖啡莊園,"The 2022 Pacific Rim Coffee Summit,T019",東泓咖啡莊園,,Taiwan Coffee Laboratory,750,Yunlin,陳善東,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"November 15th, 2022",CHEN SHAN DONG 陳善東,SL34,Completed,Washed / Wet,7.75,7.83,7.58,7.58,7.58,7.5,10.0,10.0,10.0,7.5,0.0,83.33,10.7,0,0,blue-green,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 129 | 127,127,Thailand,Doi Tung Development Project,TYPICA 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,1300-1500,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Typica,Completed,Washed / Wet,7.92,7.92,7.75,7.33,7.58,7.5,10.0,10.0,10.0,7.33,0.0,83.33,12.3,0,0,yellow-green,16,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 130 | 128,128,"Tanzania, United Republic Of",MASHIMA AMCOS,CN 4127220163/4189220459,GOURMET COFFEE MILL,033/0010/032,DORMAN TANZANIA LTD,1400-1700,KILIMANJARO,DORMAN TANZANIA LTD,320,60 kg,Kenya Coffee Traders Association,2022 / 2023,"January 3rd, 2023",Gilbert Maina,Bourbon,Completed,Washed / Wet,7.92,7.67,7.42,7.5,7.67,7.58,10.0,10.0,10.0,7.5,0.0,83.25,10.4,0,0,greenish,8,"January 3rd, 2024",Kenya Coffee Traders Association,"P.O. Box 646 00100Nairobi, Kenya, Denniss Pritt Road, Opposite St Georges Girls Secondary School",Benson Kibicho Kamau - +254 786 821 621 131 | 129,129,Brazil,Fazenda Conquista e Capoeirinha,004/22,Dry mill,,Ipanema Coffees,950,Sul de Minas,Ipanema Agrícola SA,960,60 kg,Brazil Specialty Coffee Association,2022 / 2023,"February 13th, 2023",Ipanema Coffees,Mundo Novo,Completed,Natural / Dry,7.58,7.5,7.5,7.83,7.67,7.5,10.0,10.0,10.0,7.67,0.0,83.25,11.6,0,0,green,4,"February 13th, 2024",Brazil Specialty Coffee Association,"Rua Gaspar Batista Paiva, 416 – Santa Luiza Varginha/MG – Brazil",Chris Allen - 55 35 3212-4705 132 | 130,130,Taiwan,棒棒有機農場,A41-Northern Taiwan Specialty Coffee Evaluation,棒棒有機農場,,Taiwu Coffee Cooperative,1100-1200,苗栗縣,林木青,1,320 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Washed / Wet,7.75,7.75,7.58,7.67,7.42,7.5,10.0,10.0,10.0,7.58,0.0,83.25,9.6,0,0,green,1,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 133 | 131,131,Colombia,Buenos Aires,CQU2023003,Buenos Aires,,Coffee Quality Union,1390,Quindio,Chucho Bedoya,2,12 kg,Japan Coffee Exchange,2022,"April 7th, 2023",Coffee Quality Union,"Red Bourbon,Caturra",Completed,Anaerobico 1000h,7.67,7.67,7.58,7.67,7.58,7.58,10.0,10.0,10.0,7.5,0.0,83.25,10.9,0,0,brownish,2,"April 6th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 134 | 132,132,Honduras,La Bendicion,"The 2022 Pacific Rim Coffee Summit,HN03","COMSA (Cafe Organic Marcala, S.A)",,Taiwan Coffee Laboratory,1600,"Marcala, La Paz",Joaquin Suazo,9,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Lempira,Completed,Washed / Wet,7.67,7.75,7.67,7.58,7.5,7.58,10.0,10.0,10.0,7.5,0.0,83.25,10.5,0,0,bluish-green,3,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 135 | 133,133,Honduras,varias,AMNI-22-6011-2,Beneficio seco,13-167-471-2,Cafe Organico Marcala S.A de C.V.,1400,Marcala,comsa,260,69 kg,Instituto Hondureño del Café,2021 / 2022,"August 17th, 2022",Eliud Hernandez Gonzales,Catuai,Completed,Washed / Wet,7.75,7.58,7.58,7.58,7.5,7.58,10.0,10.0,10.0,7.67,0.0,83.25,11.3,0,1,green,5,"August 17th, 2023",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 136 | 134,134,Taiwan,蜜多莊園,A35-Northern Taiwan Specialty Coffee Evaluation,蜜多莊園,,Taiwu Coffee Cooperative,200-300,新竹縣,張新榮,1,16 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Natural / Dry,7.75,7.75,7.5,7.75,7.5,7.42,10.0,10.0,10.0,7.5,0.0,83.17,9.7,0,0,greenish,2,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 137 | 135,135,Taiwan,迎曦山丘,A20-Northern Taiwan Specialty Coffee Evaluation,迎曦山丘,,Taiwu Coffee Cooperative,340,苗栗縣,翁召安,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Washed / Wet,7.67,7.67,7.5,7.58,7.58,7.5,10.0,10.0,10.0,7.67,0.0,83.17,11.8,0,0,blue-green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 138 | 136,136,Laos,Nongluang Bolaven Plateau,DCN03.11.2022,Dao Heuang Group,,Dao Heuang Group,1200 - 1300,"Nongluang Bolaven Plateau, Champasack, Lao PDR",Dao Heuang Group,26,60 kg,Specialty Coffee Association of Indonesia,2022,"December 30th, 2022",Dao Heuang Group,Catimor,Completed,Natural / Dry,7.67,7.75,7.33,7.67,7.58,7.5,10.0,10.0,10.0,7.58,0.0,83.08,11.8,0,0,brownish,7,"December 30th, 2023",Specialty Coffee Association of Indonesia,"Ministry of Agriculture Republic Indonesia, Build C 5th Floor wing B Room 515 . Jl. Harsono RM No. 3, Ragunan, South Jakarta, Jakarta",Mr. Michael Utama or Mr. Andi Fachri - 081382657727 / 087789140881 139 | 137,137,Honduras,La Cuchilla,187,CIGRAH,13-111-059,CIGRAH,1368,"Centro, Lagunetillas - Ajuterique, Comayagua",Fausto Nahun Maldonado,250,69 kg,Instituto Hondureño del Café,2021 / 2022,"May 23rd, 2022",Comercial Internacional de Granos de Honduras SA de CV,Catuai,Completed,Washed / Wet,7.67,7.67,7.5,7.58,7.58,7.5,10.0,10.0,10.0,7.58,0.0,83.08,10.6,0,2,green,7,"May 23rd, 2023",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 140 | 138,138,Honduras,Bethel,198,CADEXSA,13-63-119,CADEXSA,1450,"Los Planes de Santa Maria, La Paz",Omar Acosta,325,69 kg,Instituto Hondureño del Café,2022 / 2023,"April 25th, 2023",CADEXSA,Catuai,Completed,Washed / Wet,7.75,7.58,7.58,7.58,7.58,7.5,10.0,10.0,10.0,7.5,0.0,83.08,9.6,0,0,green,2,"April 24th, 2024",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 141 | 139,139,Colombia,EL PRADO,3-59-0654,NEIVA,3-59-0654,carcafe ltda,1650,HUILA,FRANKLIN DUSSAN,600,30 kg,ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,2022 / 2023,"January 13th, 2023",rodrigo amaya,Caturra,Completed,Washed / Wet,8.0,7.67,7.42,7.58,7.58,7.42,10.0,10.0,10.0,7.33,0.0,83.0,13.1,0,0,bluish-green,1,"January 13th, 2024",ASOCIACIÓN COLOMBIANA PARA LA EXCELENCIA DEL CAFE,Calle 60A #3D-32 / Planta Baja / CQ Lab ASECC,Carlos Julian Ruiz - 3212026991 142 | 140,140,Taiwan,樹橋窩莊園,A17-Northern Taiwan Specialty Coffee Evaluation,樹橋窩莊園,,Taiwu Coffee Cooperative,250-300,新竹縣,王維書,1,12 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.5,7.67,7.58,7.58,7.5,7.5,10.0,10.0,10.0,7.58,0.0,82.92,8.9,0,0,blue-green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 143 | 141,141,Mexico,Finca Tequihua,001,"Coatepec, Veracruz",3093,La Villa Coffee Company LLC,1350,"ZONGOLICA, VERACRUZ",Martin Tequihuatle Zepahua,141,69 kg,Centro Agroecológico del Café A.C.,2021 / 2022,"August 11th, 2022",Alvin La Vaughn Landry,Bourbon,Completed,Washed / Wet,7.75,7.5,7.42,7.67,7.58,7.5,10.0,10.0,10.0,7.5,0.0,82.92,11.9,2,0,green,1,"August 11th, 2023",Centro Agroecológico del Café A.C.,"Instituto de Ecología A. C., Campus III Edificio A Planta Baja Carretera Antigua a Coatepec No. 351 Col. El Haya C.P. 91070 Xalapa, Veracruz, México.",Stephany Escamilla Femat - Tel. +52 228 8421800 Ext. 3092 144 | 142,142,Colombia,La Argentina,CQU2022013,La Argentina,,Coffee Quality Union,1350,Quindio,Augusto Torres,1,12 kg,Japan Coffee Exchange,2021 / 2022,"June 16th, 2022",Coffee Quality Union,Typica Gesha,Completed,Washed / Wet,7.58,7.5,7.5,7.67,7.58,7.5,10.0,10.0,10.0,7.58,0.0,82.92,11.5,0,1,greenish,3,"June 16th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 145 | 143,143,Taiwan,嵩岳咖啡莊園,202203,yes,non,宸嶧國際有限公司,1200,"Shibi, Gukeng Township, Yunlin County 郵遞區號 , Taiwan (R.O.C.)",郭亮志,300,1 kg,Blossom Valley International宸嶧國際,2022,"October 24th, 2022",郭亮志 GuoLiangZhi,Gesha,Completed,,7.67,7.5,7.42,7.75,7.42,7.58,10.0,10.0,10.0,7.58,0.0,82.92,10.2,0,0,yellow-green,0,"October 24th, 2023",Blossom Valley International宸嶧國際,No.72 Mo-Fan St. Taiwan Zip: 403,Damon Chen陳嘉峻 - +886423022323 146 | 144,144,Honduras,Varias,273,Beneficio Seco Comsa,13-167-181,Cafe Organico Marcala S.A de C.V.,1280,Marcala,Varios,275,69 kg,Instituto Hondureño del Café,2022 / 2023,"April 24th, 2023",Eliud Hernandez Gonzales,Catuai,Completed,Washed / Wet,7.67,7.58,7.5,7.5,7.58,7.5,10.0,10.0,10.0,7.5,0.0,82.83,10,0,0,green,4,"April 23rd, 2024",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 147 | 145,145,Thailand,Doi Tung Development Project,GAYO 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,1300-1500,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Gayo,Completed,Washed / Wet,7.17,7.92,7.58,7.5,7.58,7.67,10.0,10.0,10.0,7.42,0.0,82.83,11.8,0,0,yellow-green,5,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 148 | 146,146,Vietnam,Ea tan Cooperative,VHA- S3,SIMEXCO DAKLAK LTD,,SIMEXCO DAKLAK LTD,900,"Eatan Commune, Krong Nang District, Krong Nang Province",Ea Tan Cooperative,22,60 kg,Specialty Coffee Association,2021 / 2022,"June 3rd, 2022",Simexco DakLak,Catimor,Completed,Pulped natural / honey,7.58,7.42,7.58,7.5,7.67,7.75,10.0,10.0,10.0,7.33,0.0,82.83,13.3,0,0,green,4,"June 3rd, 2023",Specialty Coffee Association,*CURRENTLY NOT ACCEPTING SAMPLES**,Brit Amell (CQI) - bamell@coffeeinstitute.org - 149 | 147,147,Nicaragua,Finca San Felipe,017-053-0017,Beneficio Atlantic Sébaco,017-053-0017,Exportadora Atlantic S.A,1200,Matagalpa,Exportadora Atlantic S.A.,275,69 kg,Asociación de Cafés Especiales de Nicaragua,2022 / 2023,"January 30th, 2023","Exportadora Atlantic, S.A.",SHG,Completed,Natural / Dry,7.33,7.58,7.25,7.33,7.75,8.17,10.0,10.0,10.0,7.33,0.0,82.75,10.5,5,2,green,1,"January 30th, 2024",Asociación de Cafés Especiales de Nicaragua,"Del Hotel Seminole 2 C al lago, 1 C arriba.",Maria Ines Benavidez Toval - 011-(505)-8396 4717 150 | 148,148,Costa Rica,AMA EL AROMA Micro lot - Sunrise,"The 2022 Pacific Rim Coffee Summit,CR01",Micro mill,,Taiwan Coffee Laboratory,1450,west Villege,various producers,10,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,SL28,Completed,Pulped natural / honey,7.33,7.5,7.25,7.92,7.75,7.58,10.0,10.0,10.0,7.42,0.0,82.75,11.8,0,0,pale yellow,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 151 | 149,149,Colombia,Federación Nacional de Cafeteros de Colombia,3/01/12857,Federación Nacional de Cafeteros de Colombia,3/01/12857,"NIPPON COFFEE TRADING CO.,LTD.",1700,Huila,Federación Nacional de Cafeteros de Colombia,250,70 kg,Japan Coffee Exchange,2022,"July 11th, 2022",Yukinobu Ueda,Caturra,Completed,Washed / Wet,7.58,7.67,7.58,7.5,7.33,7.5,10.0,10.0,10.0,7.5,0.0,82.67,11.8,0,1,green,2,"July 11th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 152 | 150,150,Thailand,Doi Tung Development Project,CATURRA 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,1200 - 1580,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Caturra,Completed,Washed / Wet,7.33,7.58,7.58,7.5,7.67,7.67,10.0,10.0,10.0,7.33,0.0,82.67,13,1,0,greenish,0,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 153 | 151,151,Thailand,Kevin Coffee,21/22,Dry mill,,Square Root,1200,Chiang Mai,Kevin Wattana,6,50 kg,Specialty Coffee Institute of Thailand,2021 / 2022,"June 14th, 2022",Sajcha tawaytibhong,"Bourbon, Catimor, Caturra, Typica",Completed,Natural / Dry,7.5,7.58,7.5,7.42,7.5,7.58,10.0,10.0,10.0,7.58,0.0,82.67,11.2,0,0,yellow green,0,"June 14th, 2023",Specialty Coffee Institute of Thailand,"No.76-82 Satri Wittaya 2 Soi 6, Ladplao, Bangkok 10230 Thailand","Rinlapat Siwachairot - +66 2 118 0811, +66 926462492" 154 | 152,152,Honduras,Bethel,197,CADEXSA,13-63-118,CADEXSA,1450,los planes de santa maria la paz,Omar Acosta,325,69 kg,Instituto Hondureño del Café,2022 / 2023,"April 25th, 2023",CADEXSA,Catuai,Completed,Washed / Wet,7.67,7.58,7.33,7.5,7.58,7.5,10.0,10.0,10.0,7.5,0.0,82.67,9.6,0,0,green,2,"April 24th, 2024",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 155 | 153,153,Taiwan,銅鏡莊園,A01-Northern Taiwan Specialty Coffee Evaluation,銅鏡莊園,,Taiwu Coffee Cooperative,165,苗栗縣,吳聲發,1,4 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknow,Completed,Natural / Dry,7.67,7.67,7.42,7.42,7.42,7.5,10.0,10.0,10.0,7.5,0.0,82.58,9.8,0,0,green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 156 | 154,154,Taiwan,掬香園,A22-Northern Taiwan Specialty Coffee Evaluation,掬香園,,Taiwu Coffee Cooperative,465,苗栗縣,謝櫞楨,1,32 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Caturra,Completed,Washed / Wet,7.67,7.58,7.42,7.42,7.5,7.5,10.0,10.0,10.0,7.5,0.0,82.58,8.4,0,0,blue-green,2,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 157 | 155,155,Nicaragua,Finca Las Dos Marias,4 -3.1,"Compare Coperativo Condega, Esteli, Nicaragua",,NicaNoLA Coffee,1350,ESTELI,NicaNoLA Coffee,120,45 kg,Specialty Coffee Association,2021 / 2022,"June 20th, 2022",rene j alcebo,Parainema,Completed,Washed / Wet,7.5,7.58,7.42,7.58,7.5,7.58,10.0,10.0,10.0,7.42,0.0,82.58,10.1,0,0,green,0,"June 20th, 2023",Specialty Coffee Association,*CURRENTLY NOT ACCEPTING SAMPLES**,Brit Amell (CQI) - bamell@coffeeinstitute.org - 158 | 156,156,El Salvador,Agua Caliente,1-26,Agua Caliente,9-392-35,Consejo Salvadoreño del Café,1200,Apaneca - Ilamatepec,"J.J. Borja Nathan, S.A.",600,30 kg,Salvadoran Coffee Council,2022 / 2023,"March 3rd, 2023",Consejo Salvadoreño del Café,Bourbon,Completed,Washed / Wet,7.67,7.33,7.17,7.67,7.83,7.5,10.0,10.0,10.0,7.33,0.0,82.5,11.3,0,0,green,2,"March 2nd, 2024",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 159 | 157,157,Panama,Finca Lerida,P03769,Finca Lerida,29-169-003,Panamerican Coffee Trading,1200,Boquete,Finca Lerida,200,30 kg,Specialty Coffee Association of Costa Rica,2021 / 2022,"May 25th, 2022",Rodrigo Soto,Caturra,Completed,Washed / Wet,7.75,7.67,7.17,7.67,7.42,7.42,10.0,10.0,10.0,7.42,0.0,82.5,10,0,0,green,0,"May 25th, 2023",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 160 | 158,158,Brazil,Fazenda Pedra Preta,MVB-QCert-001/2022,COPAG VARGINHA,002/1643/0049,Man Volcafe Brasil Ltda.,1100,MANTIQUEIRA / SUL DE MINAS,Eduardo Niero de Souza,620,30 kg,Brazil Specialty Coffee Association,2022 / 2023,"November 3rd, 2022",ED&F Man Volcafe Brasil Ltda.,Mundo Novo,Completed,Natural / Dry,7.5,7.58,7.5,7.5,7.67,7.42,10.0,10.0,10.0,7.33,0.0,82.5,11.8,0,1,bluish-green,1,"November 3rd, 2023",Brazil Specialty Coffee Association,"Rua Gaspar Batista Paiva, 416 – Santa Luiza Varginha/MG – Brazil",Chris Allen - 55 35 3212-4705 161 | 159,159,United States (Hawaii),Kainaliu Farm,"The 2022 Pacific Rim Coffee Summit,US03",Aloha Hills Kona Coffee,,Taiwan Coffee Laboratory,640,Kona,Kainaliu-Kona Coffee Company,4,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 15th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Maragogype,Completed,Washed / Wet,7.33,7.58,7.5,7.5,7.5,7.58,10.0,10.0,10.0,7.5,0.0,82.5,11.7,0,0,blue-green,1,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 162 | 160,160,Mexico,Las Trincheras,"The 2022 Pacific Rim Coffee Summit,MX01",Las Trincheras,,Taiwan Coffee Laboratory,1340,Veracruz,Jose Cienfuegos,10,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Full Sweet Coffee,Pacamara,Completed,Washed / Wet,7.67,7.42,7.5,7.5,7.67,7.42,10.0,10.0,10.0,7.33,0.0,82.5,10.7,0,0,pale yellow,0,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 163 | 161,161,Honduras,La Cuchilla,185,CIGRAH,13-111-057,Mercon Honduras,1368,"Centro, Lagunetillas - Ajuterique, Comayagua",Fausto Nahun Maldonado,345,30 kg,Instituto Hondureño del Café,2021 / 2022,"May 23rd, 2022",Comercial Internacional de Granos de Honduras SA de CV,Catuai,Completed,Washed / Wet,7.58,7.58,7.33,7.5,7.58,7.42,10.0,10.0,10.0,7.5,0.0,82.5,10.6,0,0,green,8,"May 23rd, 2023",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 164 | 162,162,Taiwan,弘欣咖啡園,A02-Northern Taiwan Specialty Coffee Evaluation,弘欣咖啡園,,Taiwu Coffee Cooperative,139,新竹縣,胡明杰,1,200 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Washed / Wet,7.42,7.42,7.58,7.42,7.58,7.5,10.0,10.0,10.0,7.58,0.0,82.5,8.4,0,0,green,2,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 165 | 163,163,Nicaragua,Finca Aurora,1,Beneficio Seco Finca Aurora,,Mr.Brown Cafe,1200-1350,"Matagalpa, Nicaragua",Sabio Coffee - Enrique Ferrufino & Tania Ferrufino,275,69 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"December 30th, 2022",MR.BROWN CAFE,Caturra-Catuai,Completed,Washed / Wet,7.58,7.58,7.42,7.42,7.5,7.5,10.0,10.0,10.0,7.42,0.0,82.42,11.4,0,0,bluish-green,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 166 | 164,164,Vietnam,Apollo Estate,Apollo Washed 2021,Dry Mill,,"Sunvirtue Co., Ltd.",1040,Dalat,"Yeh,Li Chuan",77,15 kg,Specialty Coffee Association,2021,"June 1st, 2022","Sunvirtue Co., Ltd.",Catimor,Completed,Washed / Wet,7.5,7.5,7.33,7.5,7.5,7.42,10.0,10.0,10.0,7.58,0.0,82.33,10.5,0,0,bluish-green,0,"June 1st, 2023",Specialty Coffee Association,*CURRENTLY NOT ACCEPTING SAMPLES**,Brit Amell (CQI) - bamell@coffeeinstitute.org - 167 | 165,165,El Salvador,Agua Caliente,1-26,Agua Caliente,9-392-35,Consejo Salvadoreño del Café,1200,Apaneca - Ilamatepec,"J.J. Borja Nathan, S.A.",600,30 kg,Salvadoran Coffee Council,2022 / 2023,"February 21st, 2023",Consejo Salvadoreño del Café,Bourbon,Completed,Washed / Wet,7.5,7.5,7.42,7.42,7.42,7.67,10.0,10.0,10.0,7.42,0.0,82.33,12,0,7,green,10,"February 21st, 2024",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 168 | 166,166,El Salvador,Agua Caliente,1-74,Agua Caliente,09-392-144,Consejo Salvadoreño del Café,1200,Apaneca - Ilamatepec,"J.J. Borja Nathan, S.A.",275,69 kg,Salvadoran Coffee Council,2021 / 2022,"July 7th, 2022",Consejo Salvadoreño del Café,Bourbon,Completed,Washed / Wet,7.33,7.67,7.25,7.67,7.83,7.42,10.0,10.0,10.0,7.17,0.0,82.33,11.8,0,0,bluish-green,0,"July 7th, 2023",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 169 | 167,167,Taiwan,寶山謐靚,A48-Northern Taiwan Specialty Coffee Evaluation,寶山謐靚,,Taiwu Coffee Cooperative,140,新竹縣,宋煦仁,1,5 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Natural / Dry,7.67,7.58,7.42,7.5,7.33,7.42,10.0,10.0,10.0,7.42,0.0,82.33,10.8,0,0,green,1,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 170 | 168,168,Peru,Fundo La Libertado,PR138,Planta Callao,,Itochu Corporation,1600,"Chanchamayo, La Merced",Sand Crispin Espiritu,275,69 kg,Japan Coffee Exchange,2022 / 2023,"July 11th, 2022",Kiichiro Iwata,Caturra,Completed,Washed / Wet,7.67,7.5,7.33,7.58,7.33,7.42,10.0,10.0,10.0,7.42,0.0,82.25,11.7,0,1,greenish,3,"July 11th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 171 | 169,169,United States (Hawaii),Manny's Farm,Islander’s Coffee for Pacific Rim Summit,Manny's Farm,,Taiwan Coffee Laboratory,1200,Kona district of Big Island,Manny Ochoa,3,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 9th, 2022",Taiwan Coffee Laboratory 台灣咖啡研究室,Typica,Completed,Washed / Wet,7.75,7.42,7.33,7.5,7.33,7.5,10.0,10.0,10.0,7.33,0.0,82.17,10.6,1,0,green,5,"November 9th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 172 | 170,170,Kenya,Kenyan Highlands,CQU2023004,TAYLOR WINCH,,Coffee Quality Union,1500-1950,Kericho,Slelected small holder,13,5 kg,Japan Coffee Exchange,2022,"April 7th, 2023",Coffee Quality Union,"SL28,SL34,Ruiru11",Completed,Washed / Wet,7.5,7.5,7.42,7.5,7.25,7.5,10.0,10.0,10.0,7.5,0.0,82.17,11.2,0,0,green,2,"April 6th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 173 | 171,171,Honduras,La Cuchilla,184,CIGRAH,13-111-056,Mercon Honduras,1368,"Centro, Lagunetillas - Ajuterique, Comayagua",Fausto Nahun Maldonado,125,69 kg,Instituto Hondureño del Café,2021 / 2022,"May 23rd, 2022",Comercial Internacional de Granos de Honduras SA de CV,Catuai,Completed,Washed / Wet,7.67,7.5,7.25,7.5,7.5,7.33,10.0,10.0,10.0,7.42,0.0,82.17,10.6,0,0,green,8,"May 23rd, 2023",Instituto Hondureño del Café,"Laboratorio de Control de Calidad de Café ( CNCC), 33 Calle, 1-2 Avenida, Sector El Cacao. San Pedro Sula, Cortes",Ramon Reyes - + 504 9693-9042 174 | 172,172,Taiwan,金暖農場,A43-Northern Taiwan Specialty Coffee Evaluation,金暖農場,,Taiwu Coffee Cooperative,600,桃園市,何育達,1,3 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Washed / Wet,7.5,7.67,7.33,7.5,7.25,7.33,10.0,10.0,10.0,7.5,0.0,82.08,9.7,0,0,bluish-green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 175 | 173,173,Taiwan,好客農埸,A34-Northern Taiwan Specialty Coffee Evaluation,好客農埸,,Taiwu Coffee Cooperative,460,苗栗縣,彭聰明,1,60 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Pulped natural / honey,7.33,7.42,7.42,7.5,7.42,7.5,10.0,10.0,10.0,7.5,0.0,82.08,8.1,0,0,greenish,3,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 176 | 174,174,Taiwan,拉拉山祖嵐咖啡莊園,A50-Northern Taiwan Specialty Coffee Evaluation,拉拉山祖嵐咖啡莊園,,Taiwu Coffee Cooperative,500,桃園市,宗素霞,1,20 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Washed / Wet,7.5,7.58,7.42,7.42,7.25,7.42,10.0,10.0,10.0,7.42,0.0,82.0,8.2,0,0,green,1,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 177 | 175,175,Thailand,Doi Tung Development Project,MIXED DT 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,800-1200,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Catimor,Completed,Washed / Wet,7.17,7.5,7.42,7.42,7.58,7.5,10.0,10.0,10.0,7.42,0.0,82.0,9.8,0,0,green,0,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 178 | 176,176,Costa Rica,San Diego Mill,S019194 - P04178,Dosmil,5-0015-0228,Beneficios Volcafé Costa Rica,1500,Corralillo Tarrazu,San Diego Mill,500,30 kg,Specialty Coffee Association of Costa Rica,2018 / 2019,"March 29th, 2023",Volcafe Japan,Caturra,Completed,Washed / Wet,7.42,7.42,7.42,7.33,7.58,7.33,10.0,10.0,10.0,7.5,0.0,82.0,10.5,1,2,green,8,"March 28th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 179 | 177,177,Guatemala,Not Specificated,SA4238,Dry Mill of Exportcafe,#327,Marubeni Corporation,1350-1550,Oriente,"Exportcafe, S.A.",275,69 kg,Japan Coffee Exchange,2021 / 2022,"November 28th, 2022",Ikuto Uehara,,Completed,Washed / Wet,7.42,7.42,7.42,7.33,7.5,7.42,10.0,10.0,10.0,7.5,0.0,82.0,11.5,0,1,blue-green,2,"November 28th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 180 | 178,178,Indonesia,Wahana Graha Makmur,015/1686/057,PT. Wahana Graha Makmur Medan,,InterAmerican Coffee,1350,Sumatra,PT. Wahana Graha Makmur Group,320,60 kg,NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),2022,"August 22nd, 2022",Charles Umeano,,Completed,Pulped natural / honey,7.67,7.33,7.25,7.67,7.42,7.25,10.0,10.0,10.0,7.42,0.0,82.0,12.5,0,0,bluish-green,0,"August 22nd, 2023",NKG Quality Service (a division of Bernhard Rothfos Intercafé AG),"Bahnhofstrasse 22 6300 Zug, Switzerland",Tirza Odermatt - +41 41 728 72 81 181 | 179,179,Peru,Fundo La Libertad,301R,Planta Callao,301R,Itochu Corporation,1600,"Chanchamayo, La Merced",Sandro Crispin Espiritu,275,69 kg,Japan Coffee Exchange,2022 / 2023,"July 11th, 2022",Kiichiro Iwata,Caturra,Completed,Washed / Wet,7.5,7.5,7.33,7.5,7.33,7.33,10.0,10.0,10.0,7.42,0.0,81.92,11.6,0,2,greenish,2,"July 11th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 182 | 180,180,Guatemala,MULTIPLE SMALLHOLDER FARMS,GF-23392,MULTIPLE SMALLHOLDER FARMS,11/15/179,"HARU International Corp, 守成咖啡",1200~1600,Antigua,La Minita,540,30 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2022,"November 3rd, 2022",Anderson Wong,Caturra,Completed,Washed / Wet,7.33,7.42,7.33,7.42,7.58,7.42,10.0,10.0,10.0,7.42,0.0,81.92,10.3,0,0,greenish,1,"November 3rd, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 183 | 181,181,Taiwan,阿拉思家,A10-Northern Taiwan Specialty Coffee Evaluation,阿拉思家,,Taiwu Coffee Cooperative,300,桃園市,李秀圓,1,6 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.25,7.42,7.42,7.5,7.42,7.42,10.0,10.0,10.0,7.42,0.0,81.83,11.3,0,0,green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 184 | 182,182,Vietnam,Gaia Farms,221221,Hulling Facility,,Brew Baby Coffee Company,5400,Lam Dong Province,Viet Coffee Company Limited,1,1 kg,Firedancer Coffee Consultants,2022 / 2023,"April 10th, 2023",Rodney Murray,Catimor,Completed,Pulped natural / honey,7.5,7.5,7.25,7.42,7.42,7.42,10.0,10.0,10.0,7.33,0.0,81.83,11.2,0,0,green,4,"April 9th, 2024",Firedancer Coffee Consultants,"165 Commerce Drive, Ste 103",Firedancer Coffee Consultants - 185 | 183,183,Brazil,Sitio Colinas,CQU2023007,COCARIVE,,Coffee Quality Union,1000,Mantiquira de minas,Luis Flavio Pereira de Castro,14,5 kg,Japan Coffee Exchange,2022,"April 7th, 2023",Coffee Quality Union,Yellow Catuai,Completed,Pulped natural / honey,7.5,7.5,7.42,7.33,7.33,7.33,10.0,10.0,10.0,7.42,0.0,81.83,11.3,0,0,pale yellow,2,"April 6th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 186 | 184,184,Brazil,Fazenda Olhos Dagua,1,Owned by producer,,Mr.Brown Cafe,900-1000,Sul de Minas,Paulo Enidio Crabi,325,59 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"December 30th, 2022",MR.BROWN CAFE,Catucai,Completed,Natural / Dry,7.42,7.5,7.58,7.33,7.33,7.25,10.0,10.0,10.0,7.33,0.0,81.75,11.1,0,0,yellow-green,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 187 | 185,185,Colombia,More than one,1,Trilladora CCA Buga,,Mr.Brown Cafe,1574,Santander,More than one,275,70 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"December 30th, 2022",MR.BROWN CAFE,Santander,Completed,Washed / Wet,7.33,7.5,7.33,7.42,7.42,7.42,10.0,10.0,10.0,7.33,0.0,81.75,11.2,0,0,yellow-green,0,"December 30th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 188 | 186,186,Mexico,Finca San José,002,"Coatepec, Veracruz",3093,La Villa Coffee Company LLC,1200,"Coatepec, Veracruz",José Gerardo Gutierrez Morales,32,69 kg,Centro Agroecológico del Café A.C.,2021 / 2022,"August 11th, 2022",Alvin La Vaughn Landry,Typica,Completed,Washed / Wet,7.58,7.42,7.25,7.25,7.5,7.33,10.0,10.0,10.0,7.33,0.0,81.67,11.8,2,0,green,2,"August 11th, 2023",Centro Agroecológico del Café A.C.,"Instituto de Ecología A. C., Campus III Edificio A Planta Baja Carretera Antigua a Coatepec No. 351 Col. El Haya C.P. 91070 Xalapa, Veracruz, México.",Stephany Escamilla Femat - Tel. +52 228 8421800 Ext. 3092 189 | 187,187,Costa Rica,HACIENDA SAN IGNACIO,OIC 5-019-0037/ Contenedor: DRYU3106597 / Cliente: O COFFEE,Beneficio La Giorgia,,Grupo ECOM,1200,occidente,FJO ORLICH HNO LTDA,100,69 kg,Specialty Coffee Association of Costa Rica,2022 / 2023,"March 29th, 2023",Ruddy Azofeifa,Caturra,Completed,Washed / Wet,7.33,7.42,7.25,7.42,7.42,7.33,10.0,10.0,10.0,7.42,0.0,81.58,9.7,0,2,green,4,"March 28th, 2024",Specialty Coffee Association of Costa Rica,"Blvd Rohrmoser, de Prisma Dental 200 norte y 25 oeste, casa 21",Noelia Villalobos - (506) 2220 0685 190 | 188,188,Taiwan,橫鹿,A46-Northern Taiwan Specialty Coffee Evaluation,橫鹿,,Taiwu Coffee Cooperative,300,新北市,呂星輝,1,100 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,Typica,Completed,Pulped natural / honey,7.42,7.5,7.33,7.33,7.33,7.33,10.0,10.0,10.0,7.33,0.0,81.58,9,0,0,yellow-green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 191 | 189,189,Taiwan,大屯29莊園,A38-Northern Taiwan Specialty Coffee Evaluation,大屯29莊園,,Taiwu Coffee Cooperative,435,臺北市,侯奕瑋,1,8 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021 / 2022,"January 6th, 2023",Taiwu,unknown,Completed,Pulped natural / honey,7.33,7.5,7.42,7.33,7.33,7.25,10.0,10.0,10.0,7.33,0.0,81.5,8.5,0,0,green,0,"January 6th, 2024",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 192 | 190,190,Thailand,Doi Tung Development Project,JAVA 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,1300-1500,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Java,Completed,Washed / Wet,7.33,7.42,7.25,7.33,7.5,7.42,10.0,10.0,10.0,7.17,0.0,81.42,11.6,2,0,green,1,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 193 | 191,191,Thailand,Doi Lan,"The 2022 Pacific Rim Coffee Summit,TH07",Miramar Coffee,,Taiwan Coffee Laboratory,1400,Chiang Rai,Prakol Saelee,5,15 kg,Taiwan Coffee Laboratory 台灣咖啡研究室,2021,"November 15th, 2022",Full Sweet Coffee,Typica Bourbon Caturra Catimor,Completed,Natural / Dry,7.42,7.25,7.33,7.42,7.33,7.33,10.0,10.0,10.0,7.25,0.0,81.33,10.5,0,0,yellowish,5,"November 15th, 2023",Taiwan Coffee Laboratory 台灣咖啡研究室,"QAHWAH CO., LTD 4F, No. 225, Sec. 3, Beixin Rd., Xindian Dist. New Taipei City, Taiwan","Lin, Jen-An Neil 林仁安 - 886-289116612" 194 | 192,192,Thailand,Doi Tung Development Project,MIXED 21/22 (Coffea Arabica),Dry Mill,,Doi Tung Development Project,600-800,North of Thailand,Doi Tung Development Project,2,1 kg,FABB Academy of Coffee,2022,"July 14th, 2022",Doi Tung Development Project,Catimor,Completed,Washed / Wet,7.25,7.25,7.42,7.25,7.42,7.42,10.0,10.0,10.0,7.17,0.0,81.17,10.4,0,0,green,0,"July 14th, 2023",FABB Academy of Coffee,"FABB ACADEMY OF COFFEE 259/313 SUKHUMVIT 71 RD., SOI PRIDI BANOMYONG 15, VHADANA BKK, 10110 THAILAND",Janejira Kamonsawedkun - +(66) 095 095 9593 195 | 193,193,Colombia,Escalera,CQU2022019,Escalera,,Coffee Quality Union,1300-1800,Cauca,Escalera,1,30 kg,Japan Coffee Exchange,2021 / 2022,"December 22nd, 2022",Coffee Quality Union,"Caturra,Colombia,Castillo",Completed,Washed / Wet,7.42,7.25,7.25,7.42,7.17,7.33,10.0,10.0,10.0,7.33,0.0,81.17,11.4,0,2,greenish,2,"December 22nd, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 196 | 194,194,Brazil,Various farm,0038,Dry Mill of Cocapil,002/1738/0038,Marubeni Corporation,1200,Alta Mogiana-Ibiraci,Cocapil,440,60 kg,Japan Coffee Exchange,2022 / 2023,"April 17th, 2023",Ikuto Uehara,,Completed,Natural / Dry,7.42,7.42,7.25,7.25,7.17,7.25,10.0,10.0,10.0,7.25,0.0,81.0,10.6,0,2,greenish,1,"April 16th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 197 | 195,195,El Salvador,"Rosario de Maria II, Area de Loma Alta",0623C01,"Optimum Coffee, San Salvador, El Salvador",,Aprentium Enterprises LLC,1400,"Volcan Chinchontepek, San Vicente, El Salvador",Roselia Yglesias,1,2 kg,Salvadoran Coffee Council,2023,"March 8th, 2023",Roselia Yglesias,Bourbon,Completed,Natural / Dry,7.42,7.33,7.33,7.5,7.08,7.0,10.0,10.0,10.0,7.17,0.0,80.83,10.5,0,8,bluish-green,7,"March 7th, 2024",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 198 | 196,196,Nicaragua,EXPORTADORA ATLANTIC S.A,017/053/0603,Lavado,,ISHIMITSU,1100,,Varios Productores,275,69 kg,Japan Coffee Exchange,2021,"July 11th, 2022",丸山花織,Caturra,Completed,Washed / Wet,7.25,7.25,7.17,7.33,7.08,7.25,10.0,10.0,10.0,7.17,0.0,80.5,11.5,0,1,greenish,3,"July 11th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 199 | 197,197,Nicaragua,Sajonia Estate Coffee S.A.,1,Sajonia Estate Coffee S.A.,017/411,SAJONIA ESTATE COFFEE S.A.,1000,Jinotega,Sajonia Estate Coffee S.A.,275,69 kg,Asociación de Cafés Especiales de Nicaragua,2022 / 2023,"April 20th, 2023",SAJONIA ESTATE COFFEE S.A.,Sarchimor,Completed,Washed / Wet,7.42,7.17,7.0,7.08,7.42,7.17,10.0,10.0,10.0,7.17,0.0,80.42,11.2,0,0,green,5,"April 19th, 2024",Asociación de Cafés Especiales de Nicaragua,"Del Hotel Seminole 2 C al lago, 1 C arriba.",Maria Ines Benavidez Toval - 011-(505)-8396 4717 200 | 198,198,Colombia,Finca Mallorca,CQU2023001,Finca Mallorca,,Coffee Quality Union,1600,"Caicedonia,Valle del Cauca",Finca Mallorca,3,10 kg,Japan Coffee Exchange,2022,"March 6th, 2023",Coffee Quality Union,"Castillo,Caturra,Bourbon",Completed,Washed / Wet,7.25,7.25,7.17,7.33,7.0,7.17,10.0,10.0,10.0,7.25,0.0,80.42,11,0,3,greenish,3,"March 5th, 2024",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 201 | 199,199,Peru,Fundo La Libertad,PR137,Callao Plant,,Itochu Corporation,1600,"Chanchamayo, Lamerced",Sandro Crispin Espiritu,275,69 kg,Japan Coffee Exchange,2022 / 2023,"June 10th, 2022",Kiichiro Iwata,Caturra,Completed,Washed / Wet,7.5,7.25,7.17,7.17,7.17,7.08,10.0,10.0,10.0,7.0,0.0,80.33,11.8,0,6,greenish,11,"June 10th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 202 | 200,200,El Salvador,"Rosario de Maria II, Area de Menjivar",0523B01,"Optimum Coffee, San Salvador, El Salvador",,Aprentium Enterprises LLC,1300,"Volcan Chinchontepek, San Vicente, El Salvador",Roselia Yglesias,1,2 kg,Salvadoran Coffee Council,2023,"March 8th, 2023",Roselia Yglesias,Pacas,Completed,Natural / Dry,7.08,7.25,7.08,7.42,7.42,7.08,10.0,10.0,10.0,7.0,0.0,80.33,11.5,0,10,bluish-green,7,"March 7th, 2024",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 203 | 201,201,Brazil,Various farm,002/1738/0029,Dry mill,002/1738/0029,marubeni,1200,Alta Mogiana-Ibiraci,COCAPIL,440,60 kg,Japan Coffee Exchange,2021 / 2022,"July 20th, 2022",Ikuto Uehara,Catuai and Mundo Novo,Completed,Natural / Dry,7.25,7.17,7.17,7.08,7.17,7.17,10.0,10.0,10.0,7.17,0.0,80.17,11.6,0,1,greenish,2,"July 20th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 204 | 202,202,Brazil,Fazenda Conquista,019/22,Dry Mill,,Ipanema Coffees,950,Sul de Minas,Ipanema Coffees,2240,60 kg,Brazil Specialty Coffee Association,2022 / 2023,"February 2nd, 2023",Ipanema Coffees,Mundo Novo,Completed,Natural / Dry,7.17,7.17,6.92,7.17,7.42,7.17,10.0,10.0,10.0,7.08,0.0,80.08,11.4,0,0,green,4,"February 2nd, 2024",Brazil Specialty Coffee Association,"Rua Gaspar Batista Paiva, 416 – Santa Luiza Varginha/MG – Brazil",Chris Allen - 55 35 3212-4705 205 | 203,203,Nicaragua,Finca San Felipe,017-053-0155,Beneficio Atlantic Sébaco,017-053-0155,Exportadora Atlantic S.A,1200,Matagalpa,Exportadora Atlantic S.A.,300,30 kg,Asociación de Cafés Especiales de Nicaragua,2022 / 2023,"March 3rd, 2023","Exportadora Atlantic, S.A.",SHG,Completed,Natural / Dry,7.33,7.08,6.75,7.17,7.42,7.17,10.0,10.0,10.0,7.08,0.0,80.0,10.4,0,2,green,12,"March 2nd, 2024",Asociación de Cafés Especiales de Nicaragua,"Del Hotel Seminole 2 C al lago, 1 C arriba.",Maria Ines Benavidez Toval - 011-(505)-8396 4717 206 | 204,204,Laos,-,105/3/VL7285-005,DRY MILL,105/3/VL7285-005,Marubeni Corporation,1300,Bolaven Plateau,"LAO MINH TIEN COFFEE SOLE CO.,LTD",343,60 kg,Japan Coffee Exchange,2021 / 2022,"November 11th, 2022",Ikuto Uehara,Catimor,Completed,Washed / Wet,7.25,7.17,7.08,7.0,7.08,7.08,10.0,10.0,10.0,7.0,0.0,79.67,11.6,0,9,green,11,"November 11th, 2023",Japan Coffee Exchange,"〒413-0002 静岡県熱海市伊豆山１１７３−５８ 1173-58 Izusan, Atami, Shizuoka, 413-0002 JAPAN",松澤　宏樹　Koju Matsuzawa - +81(0)9085642901 207 | 205,205,El Salvador,"Rosario de Maria II, Area de La Pila",0423A01,"Optimum Coffee, San Salvador, El Salvador",,Aprentium Enterprises LLC,1200,"Volcan de San Vicente, La Paz, El Salvador",Roselia Yglesias,1,2 kg,Salvadoran Coffee Council,2023,"March 8th, 2023",Roselia Yglesias,Maragogype,Completed,Natural / Dry,6.5,6.75,6.75,7.17,7.08,7.0,10.0,10.0,10.0,6.83,0.0,78.08,11,0,12,bluish-green,13,"March 7th, 2024",Salvadoran Coffee Council,"Final 1a. Av. Norte y 13 Calle Pte., dentro de las instalaciones del MAG",Tomas Bonilla - (503) 2505-6600 208 | 206,206,Brazil,Walter Matter,1058 y 1059,Beneficio humedo/seco,002/1208/1016,Descafeinadores Mexicano SA. de CV,850-1100,Minas Gerais,Walter Matter,600,60 kg,Centro Agroecológico del Café A.C.,2021 / 2022,"November 18th, 2022",Descafeinadores Mexicanos S.A de C.V,Mundo Novo,Completed,SEMI-LAVADO,7.25,7.08,6.67,6.83,6.83,6.67,10.0,10.0,10.0,6.67,0.0,78.0,11.3,0,0,green,1,"November 18th, 2023",Centro Agroecológico del Café A.C.,"Instituto de Ecología A. C., Campus III Edificio A Planta Baja Carretera Antigua a Coatepec No. 351 Col. El Haya C.P. 91070 Xalapa, Veracruz, México.",Stephany Escamilla Femat - Tel. +52 228 8421800 Ext. 3092 209 | -------------------------------------------------------------------------------- /Expectation_Maximization/EM.R: -------------------------------------------------------------------------------- 1 | library(mvtnorm) 2 | library(ellipse) 3 | library(ggplot2) 4 | library(gganimate) 5 | 6 | 7 | 8 | #------------------EM---------------------- 9 | #------------------------------------------ 10 | x <- faithful 11 | n <- dim(x)[1] 12 | k <- 2 13 | d <- 2 14 | 15 | set.seed(1011) 16 | mu <- rmvnorm(k, apply(x,2,mean), var(x)) 17 | 18 | sigma <- list() 19 | sigma[[1]] <- var(x)/k 20 | sigma[[2]] <- var(x)/k 21 | 22 | w <- rep(1,k)/k 23 | 24 | histt <- list() 25 | for (i in 1:30) { 26 | v <- matrix(ncol = k,nrow = n) 27 | for(kk in 1:k){ 28 | v[,kk] <- log(w[kk]) + 29 | dmvnorm(x, mean = mu[kk,], 30 | sigma = sigma[[kk]], log = TRUE) 31 | } 32 | for(nn in 1:n){ 33 | v[nn,] = exp(v[nn,] - max(v[nn,]))/ 34 | sum(exp(v[nn,] - max(v[nn,]))) #Go from logs to actual weights in a numerically stable manner 35 | } 36 | #v <- t(apply(v, 1, function(x) x/sum(x))) 37 | w <- colMeans(v) 38 | 39 | mu <- matrix(ncol = d, nrow = k) 40 | for(kk in 1:k){ 41 | mu[kk,] <- colSums(v[,kk] * x)/sum(v[,kk]) 42 | } 43 | print(w) 44 | sigma <- list() 45 | for (kk in 1:k) { 46 | sigma[[kk]] <- matrix(0,ncol = d,nrow = d) 47 | for(nn in 1:n){ 48 | diff <- as.matrix(x[nn,] - mu[kk,]) 49 | sigma[[kk]] <- sigma[[kk]] + v[nn, kk] * (t(diff) %*% diff) 50 | } 51 | sigma[[kk]] <- sigma[[kk]] / sum(v[,kk]) 52 | } 53 | 54 | histt[[i]] <- list(sigma = sigma, w = w, mu = mu) 55 | } 56 | 57 | #------------------------------------------ 58 | #------------------------------------------ 59 | 60 | df1_95 <- data.frame(matrix(ncol = 3))[-1,] 61 | colnames(df1_95) <- c(colnames(x),"iter") 62 | 63 | df1_60 <- data.frame(matrix(ncol = 2))[-1,] 64 | colnames(df1_60) <- c("x1_60","y1_60") 65 | 66 | df2_60 <- data.frame(matrix(ncol = 2))[-1,] 67 | colnames(df2_60) <- c("x2_60","y2_60") 68 | 69 | df2_95 <- data.frame(matrix(ncol = 3))[-1,] 70 | colnames(df2_95) <- c(colnames(x),"iter") 71 | 72 | for(i in 1:length(histt)){ 73 | ellipse1_95 <- ellipse(x = histt[[i]]$sigma[[1]], 74 | centre = histt[[i]]$mu[1,], level = 0.95) 75 | e1_95 <- as.data.frame(ellipse1_95) 76 | df_aux <- cbind(e1_95, iter = rep(i,dim(e1_95)[1])) 77 | df1_95 <- rbind(df1_95,df_aux) 78 | 79 | ellipse1_60 <- ellipse(x = histt[[i]]$sigma[[1]], 80 | centre = histt[[i]]$mu[1,], level = .60) 81 | e1_60 <- as.data.frame(ellipse1_60) 82 | colnames(e1_60) <- colnames(df1_60) 83 | df1_60 <- rbind(df1_60,e1_60) 84 | 85 | 86 | ellipse2_60 <- ellipse(x = histt[[i]]$sigma[[2]], 87 | centre = histt[[i]]$mu[2,], level = .60) 88 | e2_60 <- as.data.frame(ellipse2_60) 89 | colnames(e2_60) <- colnames(df2_60) 90 | df2_60 <- rbind(df2_60,e2_60) 91 | 92 | ellipse2_95 <- ellipse(x = histt[[i]]$sigma[[2]], 93 | centre = histt[[i]]$mu[2,], level = 0.95) 94 | e2_95 <- as.data.frame(ellipse2_95) 95 | df_aux2 <- cbind(e2_95, iter = rep(i,dim(e2_95)[1])) 96 | df2_95 <- rbind(df2_95,df_aux2) 97 | 98 | } 99 | 100 | 101 | df <- cbind(df1_95,df2_95,df1_60,df2_60) 102 | colnames(df) <- c("x","y","iter1","x2","y2", 103 | "iter2","x1_60","y1_60","x2_60","y2_60") 104 | 105 | g <- ggplot(df) + 106 | annotate(geom = "point", x = x$eruptions, y = x$waiting, 107 | color = "#9DFF8E", size = 3) + 108 | geom_path(aes(x = x, y = y), 109 | color = "blue", linetype = "dashed", 110 | size = 1) + 111 | geom_path(aes(x = x1_60, y = y1_60), linetype = "dashed", 112 | color = "blue", 113 | size = 1) + 114 | geom_path(aes(x = x2, y = y2), 115 | color = "red", linetype = "dashed", size = 1) + 116 | geom_path(aes(x = x2_60, y = y2_60), 117 | color = "red", linetype = "dashed", size = 1) + 118 | theme_bw() + 119 | theme(plot.title = element_text(color = "black", 120 | size = 35,hjust=0.5), 121 | axis.title.x = element_text(size = 30), # Tamaño del nombre del eje x 122 | axis.title.y = element_text(size = 30), 123 | panel.border = element_blank(), # Eliminar bordes del panel 124 | panel.spacing = unit(0, "lines")) + 125 | transition_manual(iter1) + 126 | labs(title = "EM iteración {current_frame}", y = "Waiting", 127 | x = "Eruptions") 128 | 129 | animate(g,fps = 15,renderer = av_renderer(), 130 | width = 600, 131 | height = 400) 132 | 133 | anim_save("animacion.mp4", g, 134 | renderer = av_renderer(),width = 700, 135 | height = 700,fps = 15) 136 | 137 | 138 | 139 | ggplot(x, aes(x =eruptions,fill = "A")) + 140 | geom_density(fill = "#9DFF8E", color = "#9DFF8E", 141 | alpha = 0.5) + 142 | theme_void( 143 | base_size = 10, 144 | base_line_size =2, 145 | base_rect_size =2) 146 | 147 | ggplot(x, aes(x =waiting,fill = "A")) + 148 | geom_density(fill = "#9DFF8E", color = "#9DFF8E", 149 | alpha = 0.5) + 150 | theme_void( 151 | base_size = 10, 152 | base_line_size =2, 153 | base_rect_size =2) 154 | 155 | -------------------------------------------------------------------------------- /Expectation_Maximization/Gaussian_mixtures_K_means.R: -------------------------------------------------------------------------------- 1 | library(mvtnorm) 2 | library(ggplot2) 3 | 4 | k <- 3 5 | d <- 2 6 | #w.true = rep(1/k,k) 7 | w.true = c(.35,.35,0.3) 8 | mu.true = matrix(ncol = d, nrow = k) 9 | mu.true[1,] = c(1.5,3.5) 10 | mu.true[2,] = c(0.5,6.6) 11 | mu.true[3,] = c(3,6) 12 | Sigma.true = list() 13 | Sigma.true[[1]] = matrix(c(1,-0.9,-0.9,1),ncol = d, nrow = d) 14 | Sigma.true[[2]] = matrix(c(1,-.9,-.9,1),ncol = d, nrow = d) 15 | Sigma.true[[3]] = matrix(c(1,-.9,-.9,1),ncol = d, nrow = d) 16 | 17 | n = 500 18 | cc = sample(1:3, n, replace=T, prob=w.true) 19 | x <- matrix(ncol = d, nrow = n) 20 | for(i in 1:n){ 21 | set.seed(i) 22 | x[i,] = rmvnorm(1, mu.true[cc[i],], Sigma.true[[cc[i]]]) 23 | } 24 | 25 | 26 | df_X <- data.frame(x1 = x[,1], x2 = x[,2], class = cc) 27 | 28 | ggplot(data = df_X) + 29 | geom_point(aes(x = x1, y = x2, color = as.factor(class))) + 30 | labs(color = "Class", title = "True classes") + 31 | theme_bw() + 32 | theme(plot.title = element_text(color = "black", 33 | size = 20,hjust=0.5), 34 | axis.title.x = element_text(size = 15), 35 | axis.title.y = element_text(size = 15), 36 | panel.border = element_blank(), 37 | panel.spacing = unit(0, "lines")) 38 | 39 | #-------------K-means--------------- 40 | k_means <- kmeans(x,centers = k) 41 | class_k <- k_means$cluster 42 | df_X$class_kmeans <- class_k 43 | 44 | #-------------EM----------------- 45 | res_em <- list() 46 | QQ <- c() 47 | for (em_n in 1:10) { 48 | mu <- rmvnorm(k, apply(x,2,mean), var(x)) 49 | 50 | sigma <- list() 51 | sigma[[1]] <- var(x) 52 | sigma[[2]] <- var(x) 53 | sigma[[3]] <- var(x) 54 | 55 | w <- rep(1,k)/k 56 | 57 | histt <- list() 58 | Q <- c() 59 | for (i in 1:20) { 60 | v <- matrix(ncol = k,nrow = n) 61 | for(kk in 1:k){ 62 | v[,kk] <- log(w[kk]) + 63 | dmvnorm(x, mean = mu[kk,], 64 | sigma = sigma[[kk]], log = TRUE) 65 | } 66 | for(nn in 1:n){ 67 | v[nn,] = exp(v[nn,] - max(v[nn,]))/ 68 | sum(exp(v[nn,] - max(v[nn,]))) #Go from logs to actual weights in a numerically stable manner 69 | } 70 | #v <- t(apply(v, 1, function(x) x/sum(x))) 71 | w <- colMeans(v) 72 | 73 | mu <- matrix(ncol = d, nrow = k) 74 | for(kk in 1:k){ 75 | mu[kk,] <- colSums(v[,kk] * x)/sum(v[,kk]) 76 | } 77 | sigma <- list() 78 | for (kk in 1:k) { 79 | sigma[[kk]] <- matrix(0,ncol = d,nrow = d) 80 | for(nn in 1:n){ 81 | diff <- as.matrix(x[nn,] - mu[kk,]) 82 | sigma[[kk]] <- sigma[[kk]] + v[nn, kk] * (diff %*% t(diff)) 83 | } 84 | sigma[[kk]] <- sigma[[kk]] / sum(v[,kk]) 85 | } 86 | 87 | 88 | QQn = 0 89 | for(nn in 1:n){ 90 | for(kk in 1:k){ 91 | QQn = QQn + v[nn,kk]*(log(w[kk]) + 92 | dmvnorm(x[nn,],mu[kk,],sigma[[kk]],log=TRUE)) 93 | } 94 | } 95 | 96 | Q[i] <- QQn 97 | histt[[i]] <- list(sigma = sigma, w = w, mu = mu,v = v) 98 | } 99 | res_em[[em_n]] <- histt 100 | QQ[em_n] <- QQn 101 | } 102 | 103 | 104 | 105 | v <- res_em[[which.max(QQ)]][[20]]$v 106 | class_em <- apply(v, 1, which.max) 107 | df_X$class_em <- class_em 108 | #-------------------------------------------- 109 | 110 | 111 | ggplot(data = df_X) + 112 | geom_point(aes(x = x1, y = x2, color = as.factor(class))) + 113 | labs(color = "Class", title = "True classes", 114 | x = "x", y = "y") + 115 | theme_bw() + 116 | theme(plot.title = element_text(color = "black", 117 | size = 20,hjust=0.5), 118 | axis.title.x = element_text(size = 15), 119 | axis.title.y = element_text(size = 15), 120 | panel.border = element_blank(), 121 | panel.spacing = unit(0, "lines"), 122 | legend.text=element_text(size = 15)) + 123 | scale_color_manual(values = c("blue2","green2","red2")) 124 | 125 | 126 | ggplot(data = df_X) + 127 | geom_point(aes(x = x1, y = x2, 128 | color = as.factor(class_kmeans )), 129 | size = 4) + 130 | labs(color = "Class", title = "K-means", 131 | x = "", y = "") + 132 | theme_bw() + 133 | theme(plot.title = element_text(color = "black", 134 | size = 30,hjust=0.5), 135 | axis.title.x = element_text(size = 20), 136 | axis.title.y = element_text(size = 20), 137 | axis.text.x = element_text(size = 12), 138 | axis.text.y = element_text(size = 12), 139 | panel.border = element_blank(), 140 | panel.spacing = unit(0, "lines"), 141 | legend.text = element_text(size = 20), 142 | legend.title = element_text(size = 20), 143 | legend.position = "none", 144 | panel.grid.major = element_blank(), # Eliminar rejillas principales 145 | panel.grid.minor = element_blank())+ 146 | scale_color_manual(values = c("#18E2AC","#B9DEFF","#FF396E")) 147 | 148 | 149 | ggplot(data = df_X) + 150 | geom_point(aes(x = x1, y = x2, color = as.factor(class_em)), 151 | size = 4) + 152 | labs(color = "Class", title = "Gaussian mixture model", 153 | x = "", y = "") + 154 | theme_bw() + 155 | theme(plot.title = element_text(color = "black", 156 | size = 30,hjust=0.5), 157 | axis.title.x = element_text(size = 20), 158 | axis.title.y = element_text(size = 20), 159 | axis.text.x = element_text(size = 12), 160 | axis.text.y = element_text(size = 12), 161 | panel.border = element_blank(), 162 | panel.spacing = unit(0, "lines"), 163 | legend.text = element_text(size = 20), 164 | legend.title = element_text(size = 20), 165 | legend.position = "none", 166 | panel.grid.major = element_blank(), # Eliminar rejillas principales 167 | panel.grid.minor = element_blank())+ 168 | scale_color_manual(values = c("#B9DEFF","#FF396E","#18E2AC")) 169 | 170 | -------------------------------------------------------------------------------- /Traveling_Salesman_Problem/TSP.R: -------------------------------------------------------------------------------- 1 | library(TSP) 2 | library(geosphere) 3 | library(ggplot2) 4 | 5 | #-------Simular 60 ciudades------------------- 6 | set.seed(1) 7 | cords <- data.frame(lon = runif(60),lat = runif(60)) 8 | 9 | #-------Calclar la matriz de distancia-------- 10 | distance <- distm(cords, fun = distHaversine) 11 | 12 | #Obtener mehor ruta 13 | res <- solve_TSP(TSP(distance),method = "two_opt", start=1L) 14 | 15 | 16 | orden <- as.integer(res) #Orden de la ruta 17 | 18 | #Graficar los resultados 19 | ruta <- data.frame( 20 | X = cords$lon[orden], 21 | Y = cords$lat[orden] 22 | ) 23 | 24 | ggplot(data = ruta) + 25 | geom_path(aes(x = X, y = Y), color = "blue") + 26 | geom_point(aes(x = X, y = Y), color = "red", size = 3) + 27 | theme_minimal() + 28 | geom_label(aes(x = ruta[1,1], y = ruta[1,2], label = "Inicio")) + 29 | labs(title = "Mejor ruta encontrada", 30 | x = "Lon", y = "Lat") + 31 | theme(plot.title=element_text(hjust=0.5,size=17)) 32 | 33 | 34 | 35 | -------------------------------------------------------------------------------- /Water Quality and Potability/Temporal.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /news_analysis/Correlation_copula.R: -------------------------------------------------------------------------------- 1 | #-------Extracción de caracteristicas--------------- 2 | library(tidyverse) 3 | library(ggplot2) 4 | library(reticulate) 5 | library(tm) 6 | library(stringi) 7 | library(patchwork) 8 | library(GRIDCOPULA) 9 | 10 | clean <- function(txt){ 11 | txt_new <- tolower(txt) 12 | txt_new <- gsub("[0-9]", "", txt_new) 13 | txt_new <- gsub("[[:punct:]]", "", txt_new) 14 | #txt_new <- iconv(txt_new, "ASCII//TRANSLIT") 15 | # Eliminar acentos 16 | txt_new <- stringi::stri_trans_general(txt_new, "Latin-ASCII") 17 | txt_new <- gsub("\\s+", " ", txt_new) 18 | return(txt_new) 19 | } 20 | 21 | notas <- read.csv('Economic_news.csv',encoding = "UTF-8") 22 | notas$txt <- clean(notas$Text) 23 | 24 | stop_words <- data.frame(word = c("la","los","de","a", 25 | "que","del","las","con", 26 | "para","por","una","más", 27 | "como","desde","este", 28 | "sobre","año","entre")) 29 | 30 | 31 | 32 | 33 | sklearn_f <- import("sklearn.feature_extraction.text") 34 | vectorizador <- sklearn_f$TfidfVectorizer#TF-IDF 35 | vectorizador <- vectorizador() 36 | vectorizador <- vectorizador$fit(notas$txt) 37 | 38 | features <- as.matrix(vectorizador$transform(notas$txt)) 39 | colnames(features) <- vectorizador$get_feature_names_out() 40 | features <- as.data.frame(features) 41 | 42 | #-------------------------------------------- 43 | #----------Distribuciones marginales--------- 44 | 45 | #-----------------Densidad------------------- 46 | x <- features$mexico 47 | y <- features$crecimiento 48 | 49 | 50 | d1 <- ggplot(data.frame(x),aes(x = x)) + 51 | geom_density(color = "darkblue", fill = "lightblue") + 52 | theme_bw() + 53 | theme(plot.title=element_text(hjust=0.5,size=17)) + 54 | labs(x = "Valor TF-IDF", 55 | title = "México") 56 | 57 | d2 <- ggplot(data.frame(y),aes(x = y)) + 58 | geom_density(color = "darkblue", fill="lightgreen") + 59 | theme_bw() + 60 | theme(plot.title=element_text(hjust=0.5,size=17)) + 61 | labs(x = "Valor TF-IDF", 62 | title = "Crecimiento") 63 | 64 | 65 | d1 + d2 + 66 | plot_layout(ncol = 2, nrow = 1) 67 | 68 | 69 | #-------Función de distribución empírica------- 70 | Fx <- ecdf(x) 71 | plot(Fx, main = "Distribución empírica para México", 72 | xlab = "Valor TF-IDF", col = "lightblue") 73 | 74 | 75 | Fy <- ecdf(y) 76 | plot(Fy, main = "Distribución empírica para crecimiento", 77 | xlab = "Valor TF-IDF", col = "lightgreen") 78 | 79 | 80 | 81 | #--------------------------------------------- 82 | #------Relación entre ambas palabras------ 83 | 84 | X <- data.frame(x,y) 85 | 86 | 87 | #Corelación utilizando la muestra 88 | r1 <- ggplot(data = X) + 89 | geom_point(aes(x = x, y = y), 90 | color = "red") + 91 | theme_bw() + 92 | theme(plot.title=element_text(hjust=0.5,size=11)) + 93 | labs(x = "México", y= "Crecimiento", 94 | title = "Diagrama de dispersión (Dominio original)", 95 | caption = "*Correlación calculada con la muestra") + 96 | geom_text(aes(x = 0.2,y = 0.17, 97 | label = paste("Rho: ", 98 | round(cor(x,y,method = "s"),3))), 99 | color = "black") + 100 | theme(plot.caption = element_text(color = "black", 101 | size = 8,hjust=0)) 102 | 103 | #-------------------------------------------- 104 | #------Correlación con copulas--------------- 105 | u <- Fx(x) 106 | v <- Fy(y) 107 | 108 | U <- cbind(u,v) 109 | 110 | #Ajustar copulas no parametricas 111 | 112 | #Grid copula 113 | gc <- estimate.gridCopula(U, method = "ml", m = 5) 114 | mosaic.grid(gc) 115 | 116 | cor_grid <- rho.grid(gc) 117 | 118 | 119 | #Kernel copula 120 | 121 | library(kdecopula) 122 | 123 | cop <- kdecop(U, method = "MR") 124 | contour(cop, margins = "unif") 125 | cor_kernel <- dep_measures(cop,measures = "spearman") 126 | 127 | 128 | #-------------------------------------- 129 | r2 <- ggplot(data = data.frame(U)) + 130 | geom_point(aes(x = u, y = v), 131 | color = "blue") + 132 | theme_bw() + 133 | labs(x = "U", y= "V", 134 | title = "Diagrama de dispersión (Dominio de las cópulas)", 135 | caption = "*Correlación calculada con copulas") + 136 | geom_text(aes(x = 0.7,y = 0.97, 137 | label = paste("Rho 1: ", 138 | round(cor_grid,3))), 139 | color = "black") + 140 | geom_text(aes(x = 0.7,y = 0.93, 141 | label = paste("Rho 2: ", 142 | round(cor_kernel,3))), 143 | color = "black") + 144 | theme(plot.title = element_text(color = "black", 145 | size = 11,hjust=0.5)) + 146 | theme(plot.caption = element_text(color = "black", 147 | size = 8,hjust=0)) 148 | 149 | 150 | r1 + r2 + 151 | plot_layout(ncol = 2, nrow = 1) 152 | 153 | 154 | 155 | 156 | 157 | 158 | 159 | 160 | 161 | 162 | 163 | 164 | -------------------------------------------------------------------------------- /news_analysis/Data/Sentiment.csv: -------------------------------------------------------------------------------- 1 | Id,Sentiment 2 | 0,Neutro 3 | 1,Neutro 4 | 2,Positivo 5 | 3,Positivo 6 | 4,Neutro 7 | 5,Negativo 8 | 6,Negativo 9 | 7,Negativo 10 | 8,Neutro 11 | 9,Negativo 12 | 10,Negativo 13 | 11,Negativo 14 | 12,Neutro 15 | 13,Neutro 16 | 14,Neutro 17 | 15,Neutro 18 | 16,Neutro 19 | 17,Positivo 20 | 18,Negativo 21 | 19,Negativo 22 | 20,Neutro 23 | 21,Positivo 24 | 22,Negativo 25 | 23,Neutro 26 | 24,Neutro 27 | 25,Positivo 28 | 26,Positivo 29 | 27,Negativo 30 | 28,Neutro 31 | 29,Positivo 32 | 30,Neutro 33 | 31,Negativo 34 | 32,Neutro 35 | 33,Negativo 36 | 34,Neutro 37 | 35,Negativo 38 | 36,Negativo 39 | 37,Negativo 40 | 38,Positivo 41 | 39,Negativo 42 | 40,Negativo 43 | 41,Positivo 44 | 42,Neutro 45 | 43,Neutro 46 | 44,Negativo 47 | 45,Neutro 48 | 46,Neutro 49 | 47,Neutro 50 | 48,Neutro 51 | 49,Negativo 52 | 50,Neutro 53 | 51,Positivo 54 | 52,Neutro 55 | 53,Positivo 56 | 54,Neutro 57 | 55,Positivo 58 | 56,Neutro 59 | 57,Negativo 60 | 58,Negativo 61 | 59,Neutro 62 | 60,Neutro 63 | 61,Neutro 64 | 62,Neutro 65 | 63,Neutro 66 | 64,Negativo 67 | 65,Neutro 68 | 66,Neutro 69 | 67,Neutro 70 | 68,Positivo 71 | 69,Neutro 72 | 70,Negativo 73 | 71,Positivo 74 | 72,Neutro 75 | 74,Neutro 76 | 75,Neutro 77 | 76,Positivo 78 | 77,Neutro 79 | 78,Negativo 80 | 79,Negativo 81 | 80,Positivo 82 | 81,Positivo 83 | 82,Negativo 84 | 83,Neutro 85 | 84,Negativo 86 | 85,Neutro 87 | 86,Positivo 88 | 87,Neutro 89 | 88,Negativo 90 | 89,Neutro 91 | 90,Positivo 92 | 91,Neutro 93 | 92,Neutro 94 | 93,Negativo 95 | 94,Negativo 96 | 95,Neutro 97 | 96,Negativo 98 | 97,Neutro 99 | 98,Negativo 100 | 99,Neutro 101 | 100,Neutro 102 | 101,Negativo 103 | 102,Negativo 104 | 103,Neutro 105 | 104,Negativo 106 | 105,Positivo 107 | 106,Negativo 108 | 107,Neutro 109 | 108,Negativo 110 | 109,Negativo 111 | 110,Neutro 112 | 111,Neutro 113 | 112,Neutro 114 | 113,Neutro 115 | 114,Neutro 116 | 115,Neutro 117 | 116,Negativo 118 | 117,Negativo 119 | 118,Negativo 120 | 119,Negativo 121 | 120,Neutro 122 | 121,Negativo 123 | 122,Positivo 124 | 123,Negativo 125 | 124,Neutro 126 | 125,Positivo 127 | 126,Neutro 128 | 127,Negativo 129 | 130,Positivo 130 | 131,Positivo 131 | 136,Positivo 132 | 137,Neutro 133 | 138,Neutro 134 | 139,Positivo 135 | 140,Negativo 136 | 141,Neutro 137 | 143,Negativo 138 | 144,Positivo 139 | 145,Neutro 140 | 146,Negativo 141 | 147,Neutro 142 | 148,Positivo 143 | 149,Negativo 144 | 150,Positivo 145 | 151,Positivo 146 | 153,Neutro 147 | 154,Negativo 148 | 155,Negativo 149 | 156,Positivo 150 | 157,Neutro 151 | 158,Negativo 152 | 159,Neutro 153 | 160,Neutro 154 | 161,Negativo 155 | 162,Neutro 156 | 163,Negativo 157 | 164,Neutro 158 | 165,Neutro 159 | 166,Neutro 160 | 167,Neutro 161 | 168,Neutro 162 | 169,Neutro 163 | 170,Positivo 164 | 171,Neutro 165 | 172,Neutro 166 | 173,Positivo 167 | 174,Negativo 168 | 175,Neutro 169 | 176,Negativo 170 | 177,Positivo 171 | 178,Positivo 172 | 179,Negativo 173 | 180,Positivo 174 | 182,Neutro 175 | 183,Negativo 176 | 184,Negativo 177 | 185,Negativo 178 | 186,Neutro 179 | 187,Negativo 180 | 188,Neutro 181 | 189,Neutro 182 | 190,Negativo 183 | 191,Neutro 184 | 192,Neutro 185 | 193,Negativo 186 | 194,Neutro 187 | 195,Neutro 188 | 196,Neutro 189 | 197,Negativo 190 | 198,Neutro 191 | 199,Negativo 192 | 200,Neutro 193 | 201,Negativo 194 | 202,Neutro 195 | 203,Neutro 196 | 204,Positivo 197 | 205,Neutro 198 | 206,Negativo 199 | 207,Neutro 200 | 208,Negativo 201 | 209,Negativo 202 | 210,Neutro 203 | 211,Neutro 204 | -------------------------------------------------------------------------------- /news_analysis/Data/te.txt: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /news_analysis/web_scraping/Scrapy_Economista.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # coding: utf-8 3 | 4 | from selenium import webdriver 5 | import pandas as pd 6 | from selenium.webdriver.common.by import By 7 | from selenium.webdriver.support.ui import WebDriverWait 8 | import random 9 | from time import sleep 10 | from selenium.webdriver.chrome.options import Options 11 | from selenium.webdriver.support import expected_conditions as EC 12 | from selenium.webdriver.support.ui import WebDriverWait 13 | from selenium.webdriver.support import expected_conditions 14 | from datetime import datetime 15 | import chromedriver_binary 16 | 17 | 18 | x1 = list() # Titulo 19 | x2 = list() # Texto 20 | x3 = list() # Autor 21 | x4 = list() # Fecha 22 | x5 = list() # URL 23 | 24 | 25 | 26 | #driver = webdriver.Edge() 27 | driver = webdriver.Firefox() 28 | 29 | driver.get('https://www.eleconomista.com.mx/seccion/economia') 30 | 31 | for i in range(10): 32 | try: 33 | element = driver.find_element(By.XPATH, '//button[text()="Ver más noticias"]') 34 | driver.execute_script("arguments[0].click();", element) 35 | sleep(2) 36 | except: 37 | break 38 | 39 | links_notas = driver.find_elements(By.XPATH,'//h3[@class="jsx-578919967 title"]/a[@href]') 40 | #jsx-578919967 title 41 | #jsx-3595501718 42 | link = [] 43 | 44 | for i in links_notas: 45 | link.append(i.get_attribute("href")) 46 | 47 | 48 | 49 | for k in link: 50 | try: 51 | x5.append(k) 52 | driver.get(k) 53 | #sleep(.5) 54 | except Exception as e: 55 | print("Error al entra al link") 56 | 57 | try: 58 | x1.append(driver.find_element(By.XPATH,'//h1[@class="jsx-891979598"]').text) #Titulo 59 | print(driver.find_element(By.XPATH,'//h1[@class="jsx-891979598"]').text) 60 | except Exception as e: 61 | print("Error al guardar titulo") 62 | x1.append("") 63 | 64 | 65 | try: 66 | textos = driver.find_elements(By.XPATH, '//div[@class="jsx-537108098"]/p') 67 | 68 | txt = textos[0].text 69 | for texto in range(1,len(textos)): 70 | txt = txt + " " + textos[texto].text 71 | 72 | x2.append(txt) #Texto 73 | 74 | except Exception as e: 75 | print("Error al guradar texto") 76 | x2.append("") 77 | 78 | try: 79 | x3.append(driver.find_element(By.XPATH,'//div[@class="jsx-2090697612"]/p/a[@title]').text) #Autor 80 | except Exception as e: 81 | try: 82 | x3.append(driver.find_element(By.XPATH,'//div[@class="jsx-2090697612"]/p/span[@class="jsx-3444981233 "]').text) #Autor 83 | except: 84 | x3.append("") 85 | print("Error al guardar el Autor") 86 | 87 | try: 88 | x4.append(driver.find_element(By.XPATH,'//time[@class="jsx-1677808495"]').text) #Fecha 89 | except Exception as e: 90 | print("Error al guardar fecha") 91 | x4.append("") 92 | 93 | 94 | 95 | 96 | df = pd.DataFrame() 97 | df["Tiutlo"] = x1 98 | df["Texto"] = x2 99 | df["Autor"] = x3 100 | df["Fecha"] = x4 101 | df["URL"] = x5 102 | 103 | print(df) 104 | print(df.shape) 105 | df.to_csv("df.csv") 106 | 107 | -------------------------------------------------------------------------------- /text_summaries/Model.R: -------------------------------------------------------------------------------- 1 | library(ggplot2) 2 | library(tidyverse) 3 | library(knitr) 4 | library(tm) 5 | library(plotly) 6 | library(ggExtra) 7 | library(patchwork) 8 | library(tensorflow) 9 | library(keras) 10 | 11 | #Carcgar los datos 12 | df <- read.csv('summaries_train.csv') 13 | 14 | #Función para limpieza de texto 15 | clean <- function(txt){ 16 | txt_new <- tolower(txt) 17 | txt_new <- gsub("[0-9]", "", txt_new) 18 | txt_new <- gsub("[[:punct:]]", "", txt_new) 19 | txt_new <- iconv(txt_new, "UTF-8", "ASCII//TRANSLIT") 20 | txt_new <- gsub("\\s+", " ", txt_new) 21 | return(txt_new) 22 | 23 | } 24 | 25 | df$text <- clean(df$text) 26 | 27 | 28 | #Dividir el conjunto de datos en train y test 29 | set.seed(pi) 30 | muestra_train <- sample(1:dim(df)[1], 31 | round(dim(df)[1]*.80), 32 | replace = FALSE) 33 | 34 | df_train <- df[muestra_train,] 35 | df_test <- df[-muestra_train,] 36 | 37 | y_train <- df$content[muestra_train] 38 | y_test <- df$content[-muestra_train] 39 | 40 | #----------------------Tfidf------------------------- 41 | sklearn_f <- import("sklearn.feature_extraction.text") 42 | vectorizador <- sklearn_f$TfidfVectorizer 43 | vectorizador <- vectorizador() 44 | #Entrenar con el conjunto de prueba 45 | vectorizador <- vectorizador$fit(df_train$text) 46 | 47 | 48 | #----Extraer las el valor Tfidf para train y test--------- 49 | X_train <- as.matrix(vectorizador$transform(df_train$text)) 50 | colnames(X_train) <- vectorizador$get_feature_names_out() 51 | 52 | X_test <- as.matrix(vectorizador$transform(df_test$text)) 53 | colnames(X_test) <- vectorizador$get_feature_names_out() 54 | 55 | 56 | 57 | #------------Modelo------------------- 58 | #------------------------------------- 59 | shape = dim(X_train)[2] 60 | 61 | #Definir la estructura de la red 62 | model <- keras_model_sequential(input_shape = shape) %>% 63 | layer_flatten() %>% 64 | layer_dense(5, activation = "relu") %>% 65 | #layer_dropout(0.2) %>% 66 | layer_dense(5, activation = "relu") %>% 67 | layer_dense(1) 68 | 69 | #Compilar el modelo 70 | model %>% compile( 71 | optimizer = "adam", 72 | loss = "mse", 73 | metrics = "mse" 74 | ) 75 | 76 | #Entrenar el modelo 77 | model %>% fit(X_train,y_train, epochs = 20, 78 | validation_data = list(X_test, y_test) 79 | ) 80 | 81 | 82 | #--------------Evaluación------------------- 83 | 84 | #------Con el conjunto de train-------------- 85 | sklearn_metrics <- import("sklearn.metrics") 86 | mean_squared_error <- sklearn_metrics$mean_squared_error 87 | mean_absolute_error <- sklearn_metrics$mean_absolute_error 88 | r2_score <- sklearn_metrics$r2_score 89 | 90 | 91 | y_pred <- model %>% predict(X_train) 92 | 93 | MSE <- mean_squared_error(y_train,y_pred,squared=TRUE) #MSE 94 | RMSE <- mean_squared_error(y_train,y_pred,squared=FALSE) #RMSE 95 | MAE <- mean_absolute_error(y_train,y_pred) #MAE 96 | R2 <- r2_score(y_train,y_pred) 97 | 98 | df_eval <- data.frame(y_train,y_pred) 99 | 100 | ggplot(df_eval) + 101 | geom_density(aes(x = y_train, 102 | fill = "Datos de entrenamiento"), 103 | alpha = 0.5, color = "green") + 104 | geom_density(aes(x = y_pred, fill = "Predicciones"), 105 | alpha = 0.5, color = "red") + 106 | 107 | # Personalizar colores en la leyenda y etiquetas 108 | scale_fill_manual( 109 | values = c("Datos de entrenamiento" = "green", 110 | "Predicciones" = "red"), 111 | labels = c("Datos de entrenamiento", "Predicciones") 112 | ) + 113 | 114 | guides(fill = guide_legend(title = "")) + 115 | labs( 116 | title = "Densidad de Datos Reales vs. Predicciones", 117 | x = "Content", 118 | y = "Densidad", 119 | fill = "Variable" 120 | ) + 121 | theme(plot.title = element_text(hjust = 0.5)) 122 | 123 | 124 | ggplot(data = df_eval) + 125 | geom_point(aes(x = y_pred,y = y_train), 126 | color = "#1B96B5") + 127 | labs(title = "Datos de entrenamiento vs predicciónes", 128 | x = "Predicciones", y = "Content") + 129 | theme(plot.title = element_text(hjust = 0.5)) 130 | 131 | 132 | #------Con el conjunto de test-------------- 133 | y_pred <- model %>% predict(X_test) 134 | 135 | MSE <- mean_squared_error(y_test,y_pred,squared=TRUE) #MSE 136 | RMSE <- mean_squared_error(y_test,y_pred,squared=FALSE) #RMSE 137 | MAE <- mean_absolute_error(y_test,y_pred) #MAE 138 | R2 <- r2_score(y_test,y_pred) 139 | 140 | df_eval <- data.frame(y_test,y_pred) 141 | 142 | ggplot(df_eval) + 143 | geom_density(aes(x = y_test, 144 | fill = "Datos de prueba"), 145 | alpha = 0.5, color = "green") + 146 | geom_density(aes(x = y_pred, fill = "Predicciones"), 147 | alpha = 0.5, color = "red") + 148 | 149 | # Personalizar colores en la leyenda y etiquetas 150 | scale_fill_manual( 151 | values = c("Datos de prueba" = "green", 152 | "Predicciones" = "red"), 153 | labels = c("Datos de prueba", "Predicciones") 154 | ) + 155 | 156 | guides(fill = guide_legend(title = "")) + 157 | labs( 158 | title = "Densidad de Datos Reales vs. Predicciones", 159 | x = "Content", 160 | y = "Densidad", 161 | fill = "Variable" 162 | ) + 163 | theme(plot.title = element_text(hjust = 0.5)) 164 | 165 | 166 | ggplot(data = df_eval) + 167 | geom_point(aes(x = y_pred,y = y_test), 168 | color = "#1B96B5") + 169 | labs(title = "Datos de prueba vs predicciónes", 170 | x = "Predicciones", y = "Content") + 171 | theme(plot.title = element_text(hjust = 0.5)) 172 | 173 | 174 | -------------------------------------------------------------------------------- /text_summaries/Resultados.Rmd: -------------------------------------------------------------------------------- 1 | --- 2 | title: "Machine learning para evaluar la calidad de resúmenes escritos por estudiantes con R y librerías de Python" 3 | author: "Pedro Abraham Montoya Calzada" 4 | date: 5 | output: pdf_document 6 | --- 7 | 8 | \section{Introducción} 9 | Los lenguajes de programación: Python y R, son dos de los más utilizados en ciencia de datos y aprendizaje automático, cada lenguaje tiene sus ventajas y desventajas, por ejemplo: Python es excelente a la hora de crear modelos de aprendizaje automático, pues cuenta con librerías muy potentes como; TensorFlow, scikit-learn, pandas, etc. Que facilitan bastante esas tareas, sin embargo, el poder de R en el análisis estadístico y en le visualización de datos es sobresaliente. 10 | 11 | Este proyecto lo hice con la intención de mostrar que se puede obtener lo mejor de ambos lenguajes, el objetivo de este trabajo es construir un modelo de regresión, que sea capas de dar una calificación de forma automática a resúmenes de texto creados por estudiantes. Utilizando en todo momento el lenguaje R pero combinándolo con dos de las más potentes librerías de Python: TensorFlow y scikit-learn. 12 | 13 | Los datos que se utilizaron fueron tomados estan disponibles [**aquí.**](https://www.kaggle.com/competitions/commonlit-evaluate-student-summaries) 14 | 15 | Los datos cuentan con 5 columnas, las dos primeras son id de identificación, la tercera es el texto escrito por los estudiantes, la cuarta es content: la puntuación de contenido para el resumen y la última columna es wording: la puntuación de redacción del resumen. La tercera columna será la entrada del algoritmo, y las ultimas dos columnas son el objetivo a predecir, sin embargo, en esta ocasión, solo se va a trabajar con la variable "content". 16 | 17 | \section{Análisis de datos y visualización} 18 | 19 | \subsection{Estadísticas descriptivas de la puntuación del contenido} 20 | 21 | ```{r, warning=FALSE, message=FALSE, echo=FALSE} 22 | library(ggplot2) 23 | library(tidyverse) 24 | library(knitr) 25 | library(tm) 26 | library(plotly) 27 | library(ggExtra) 28 | library(patchwork) 29 | library(tensorflow) 30 | library(keras) 31 | 32 | df <- read.csv('summaries_train.csv') 33 | ``` 34 | 35 | 36 | ```{r, warning=FALSE, message=FALSE, echo=FALSE} 37 | resumen <- summary(df$content) 38 | values <- as.vector(resumen) 39 | names <- names(resumen) 40 | 41 | resumen <- data.frame(Valor = values) 42 | row.names(resumen) <- names 43 | 44 | kable(resumen) 45 | ``` 46 | 47 | ```{r, warning=FALSE, message=FALSE, echo=FALSE,fig.width=7, fig.height=3,fig.align='center'} 48 | g <- ggplot(df, aes(x = content)) + 49 | geom_histogram(aes(y =..density..), color="black", 50 | fill = "#1B96B5", bins = 20) + 51 | geom_density(alpha = 0.1, fill = "green", 52 | color = "green") + 53 | scale_fill_manual(values = cols) + 54 | theme(plot.title = element_text(hjust = 0.5))+ 55 | labs(title = "Histograma de la variable Content") 56 | g 57 | 58 | ``` 59 | 60 | \subsection{Palabras más frecuentes} 61 | 62 | Las stop words (palabras vacías o palabras de paro en español) son palabras que se filtran o eliminan de un texto durante el procesamiento de lenguaje natural (NLP) porque se consideran comunes y poco informativas en términos de contenido semántico. Sin embargo, para este proyecto decidí no utilizarlas, porque si algún estudiante utiliza en exceso ese tipo de palabras, podría ser causa de penalización, y por lo tanto, recibir una calificación más baja. 63 | 64 | 65 | ```{r,warning=FALSE, message=FALSE, echo=FALSE} 66 | clean <- function(txt){ 67 | txt_new <- tolower(txt) 68 | txt_new <- gsub("[0-9]", "", txt_new) 69 | txt_new <- gsub("[[:punct:]]", "", txt_new) 70 | txt_new <- iconv(txt_new, "UTF-8", "ASCII//TRANSLIT") 71 | txt_new <- gsub("\\s+", " ", txt_new) 72 | return(txt_new) 73 | 74 | } 75 | 76 | df$text <- clean(df$text) 77 | ``` 78 | 79 | 80 | 81 | ```{r,warning=FALSE, message=FALSE, echo=FALSE} 82 | corpus <- Corpus(VectorSource(df$text)) 83 | 84 | tdm <- TermDocumentMatrix(corpus) 85 | m <- as.matrix(tdm) 86 | word_freq <- rowSums(m) 87 | 88 | word_freq_df <- data.frame(word = names(word_freq), 89 | freq = word_freq) 90 | word_freq_df <- word_freq_df %>% 91 | arrange(desc(freq)) 92 | 93 | ``` 94 | 95 | 96 | ```{r, warning=FALSE, message=FALSE, echo=FALSE,fig.width=7, fig.height=3,fig.align='center'} 97 | n <- 20 98 | p <- ggplot(word_freq_df[1:n,], 99 | aes(x = reorder(word, -freq),y = freq))+ 100 | geom_col(aes(fill = as.factor(freq)), 101 | show.legend = FALSE) + 102 | labs(title = 'Palabras con mayor frecuencia (primeras 20)', 103 | x = "Palabras",y = "Frecuencia", 104 | fill = "") + 105 | theme(plot.title = element_text(hjust = 0.5), 106 | axis.text.x = element_text(size = 6)) 107 | 108 | p 109 | 110 | ``` 111 | 112 | \subsection{Relación entre las palabras y la calificación recibida} 113 | 114 | La transformación TF-IDF (Term Frequency-Inverse Document Frequency) es una técnica utilizada en el procesamiento de lenguaje natural (NLP) para evaluar la importancia relativa de una palabra en un documento dentro de un conjunto de documentos más amplio. 115 | 116 | Ahora, vamos a ver como se relaciona el valor tf-idf de las 20 palabras más frecuentes con la variable respuesta: content. 117 | 118 | ```{r, warning=FALSE, message=FALSE,echo=FALSE} 119 | library(reticulate) 120 | 121 | sklearn_f <- import("sklearn.feature_extraction.text") 122 | vectorizador <- sklearn_f$TfidfVectorizer 123 | vectorizador <- vectorizador() 124 | vectorizador <- vectorizador$fit(df$text) 125 | 126 | #obtener el valor Tfidf para todas las palabras 127 | features <- as.matrix(vectorizador$transform(df$text)) 128 | colnames(features) <- vectorizador$get_feature_names_out() 129 | features <- as.data.frame(features) 130 | 131 | #Nos quedamos solo con las 20 palabras más frecuentes 132 | features <- features[,word_freq_df$word[1:20]] 133 | 134 | ``` 135 | 136 | 137 | ```{r, echo=FALSE} 138 | corr <- data.frame(Word = c(),P = c(), 139 | S = c(),K = c()) 140 | words <- colnames(features) 141 | for(i in 1:dim(features)[2]){ 142 | #Eliminar todas las oversavciones 143 | # en donde la palabra no aparecio 144 | aux <- features[,i] != 0 145 | corr[i,1] <- words[i] 146 | corr[i,2] <- cor(df$content[aux],features[,i][aux], 147 | method = "p") 148 | corr[i,3] <- cor(df$content[aux],features[,i][aux], 149 | method = "s") 150 | corr[i,4] <- cor(df$content[aux],features[,i][aux], 151 | method = "k") 152 | } 153 | 154 | colnames(corr)<- c("Word","Pearson","Spearman","Kendall") 155 | 156 | ``` 157 | 158 | 159 | ```{r, warning=FALSE, message=FALSE, echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 160 | ggplot(corr, aes(x = reorder(Word, Spearman), 161 | y = Spearman,fill = as.factor(Word))) + 162 | geom_bar(stat = "identity", 163 | show.legend = FALSE) + 164 | labs(x = "Palabras",y = "Correalción", 165 | title = "Correlación de Spearman entre el Tf-idf 166 | de las palabras y Content") + 167 | theme(axis.text.x = element_text(size = 7)) + 168 | theme(plot.title = element_text(hjust = 0.5)) 169 | ``` 170 | 171 | La palabra “from” es la que presenta la relación más fuerte con la variable respuesta, vamos a ver el tipo de relación que hay con un diagrama de dispersión. 172 | 173 | 174 | ```{r, echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 175 | g <- ggplot(features, aes(x = from, 176 | y = df$content)) + 177 | geom_point(color = "#1B96B5") + 178 | labs(y = "Content", x = "Tf-idf de la palabra from", 179 | title = "Tf-idf de la plabra from vs content") + 180 | theme(plot.title = element_text(hjust = 0.5)) 181 | 182 | ggMarginal(g, type = "histogram", 183 | xparams = list(fill = "#1B96B5"), 184 | yparams = list(fill = "#1B96B5")) 185 | 186 | 187 | ``` 188 | 189 | 190 | \section{Creación y evaluación del modelo predictivo} 191 | 192 | 193 | El modelo que se construyo fue una red neuronal, se utilizo tensorflow y keras, a continuación, muestro la estructura de la red. 194 | 195 | ```{r,warning=FALSE, message=FALSE,echo=FALSE} 196 | set.seed(pi) 197 | muestra_train <- sample(1:dim(df)[1], 198 | round(dim(df)[1]*.80), 199 | replace = FALSE) 200 | 201 | df_train <- df[muestra_train,] 202 | df_test <- df[-muestra_train,] 203 | 204 | 205 | sklearn_f <- import("sklearn.feature_extraction.text") 206 | vectorizador <- sklearn_f$TfidfVectorizer 207 | vectorizador <- vectorizador() 208 | vectorizador <- vectorizador$fit(df_train$text) 209 | 210 | X_train <- as.matrix(vectorizador$transform(df_train$text)) 211 | colnames(X_train) <- vectorizador$get_feature_names_out() 212 | 213 | X_test <- as.matrix(vectorizador$transform(df_test$text)) 214 | colnames(X_test) <- vectorizador$get_feature_names_out() 215 | 216 | y_train <- df$content[muestra_train] 217 | y_test <- df$content[-muestra_train] 218 | 219 | 220 | ``` 221 | 222 | 223 | ```{r, eval=FALSE} 224 | model <- keras_model_sequential(input_shape = shape) %>% 225 | layer_flatten() %>% 226 | layer_dense(5, activation = "relu") %>% 227 | layer_dense(5, activation = "relu") %>% 228 | layer_dense(1) 229 | 230 | model %>% compile( 231 | optimizer = "adam", 232 | loss = "mse", 233 | metrics = "mse" 234 | ) 235 | 236 | ``` 237 | 238 | 239 | ```{r, echo=FALSE, message=FALSE, warning=FALSE,include=FALSE} 240 | shape = dim(X_train)[2] 241 | 242 | model <- keras_model_sequential(input_shape = shape) %>% 243 | layer_flatten() %>% 244 | layer_dense(5, activation = "relu") %>% 245 | #layer_dropout(0.2) %>% 246 | layer_dense(5, activation = "relu") %>% 247 | layer_dense(1) 248 | 249 | 250 | model %>% compile( 251 | optimizer = "adam", 252 | loss = "mse", 253 | metrics = "mse" 254 | ) 255 | 256 | model %>% fit(X_train,y_train, epochs = 20, 257 | validation_data = list(X_test, y_test) 258 | ) 259 | 260 | ``` 261 | 262 | 263 | 264 | Para entrenar el modelo se tomo de manera aleatoria una muestra con el 80% de las observaciones, el otro 20% se utilizó para evaluar el desempeño del modelo. 265 | 266 | ```{r, echo=FALSE, message=FALSE, echo=FALSE,,include=FALSE} 267 | sklearn_metrics <- import("sklearn.metrics") 268 | mean_squared_error <- sklearn_metrics$mean_squared_error 269 | mean_absolute_error <- sklearn_metrics$mean_absolute_error 270 | r2_score <- sklearn_metrics$r2_score 271 | 272 | 273 | y_pred <- model %>% predict(X_train) 274 | 275 | MSE <- mean_squared_error(y_train,y_pred,squared=TRUE) #MSE 276 | RMSE <- mean_squared_error(y_train,y_pred,squared=FALSE) #RMSE 277 | MAE <- mean_absolute_error(y_train,y_pred) #MAE 278 | R2 <- r2_score(y_train,y_pred) 279 | 280 | res <- data.frame(MSE = MSE, RMSE = RMSE, 281 | MAE = MAE, R2 = R2) 282 | 283 | 284 | kable(res, caption = "Evaluación del modelo con los datos de entrenamiento") 285 | ``` 286 | 287 | 288 | ```{r, echo=FALSE,warning=FALSE, message=FALSE} 289 | kable(res, caption = "Evaluación del modelo con los datos de prueba") 290 | ``` 291 | 292 | ```{r,echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 293 | df_eval <- data.frame(y_train,y_pred) 294 | 295 | ggplot(df_eval) + 296 | geom_density(aes(x = y_train, 297 | fill = "Datos de entrenamiento"), 298 | alpha = 0.5, color = "green") + 299 | geom_density(aes(x = y_pred, fill = "Predicciones"), 300 | alpha = 0.5, color = "red") + 301 | 302 | # Personalizar colores en la leyenda y etiquetas 303 | scale_fill_manual( 304 | values = c("Datos de entrenamiento" = "green", 305 | "Predicciones" = "red"), 306 | labels = c("Datos de entrenamiento", "Predicciones") 307 | ) + 308 | 309 | guides(fill = guide_legend(title = "")) + 310 | labs( 311 | title = "Densidad de Datos Reales vs. Predicciones", 312 | x = "Content", 313 | y = "Densidad", 314 | fill = "Variable" 315 | ) + 316 | theme(plot.title = element_text(hjust = 0.5)) 317 | 318 | 319 | ``` 320 | 321 | 322 | ```{r,echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 323 | 324 | ggplot(data = df_eval) + 325 | geom_point(aes(x = y_pred,y = y_train), 326 | color = "#1B96B5") + 327 | labs(title = "Datos de entrenamiento vs predicciónes", 328 | x = "Predicciones", y = "Content") + 329 | theme(plot.title = element_text(hjust = 0.5)) 330 | 331 | ``` 332 | 333 | 334 | 335 | ```{r, echo=FALSE, message=FALSE, echo=FALSE,include=FALSE} 336 | y_pred <- model %>% predict(X_test) 337 | 338 | MSE <- mean_squared_error(y_test,y_pred,squared=TRUE) #MSE 339 | RMSE <- mean_squared_error(y_test,y_pred,squared=FALSE) #RMSE 340 | MAE <- mean_absolute_error(y_test,y_pred) #MAE 341 | R2 <- r2_score(y_test,y_pred) 342 | 343 | res <- data.frame(MSE = MSE, RMSE = RMSE, 344 | MAE = MAE, R2 = R2) 345 | 346 | ``` 347 | 348 | 349 | ```{r, echo=FALSE,warning=FALSE, message=FALSE} 350 | kable(res, caption = "Evaluación del modelo con los datos de prueba") 351 | ``` 352 | 353 | 354 | ```{r,echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 355 | df_eval <- data.frame(y_test,y_pred) 356 | 357 | ggplot(df_eval) + 358 | geom_density(aes(x = y_test, 359 | fill = "Datos de prueba"), 360 | alpha = 0.5, color = "green") + 361 | geom_density(aes(x = y_pred, fill = "Predicciones"), 362 | alpha = 0.5, color = "red") + 363 | 364 | # Personalizar colores en la leyenda y etiquetas 365 | scale_fill_manual( 366 | values = c("Datos de prueba" = "green", 367 | "Predicciones" = "red"), 368 | labels = c("Datos de prueba", "Predicciones") 369 | ) + 370 | 371 | guides(fill = guide_legend(title = "")) + 372 | labs( 373 | title = "Densidad de Datos Reales vs. Predicciones", 374 | x = "Content", 375 | y = "Densidad", 376 | fill = "Variable" 377 | ) + 378 | theme(plot.title = element_text(hjust = 0.5)) 379 | 380 | ``` 381 | 382 | 383 | ```{r,echo=FALSE,fig.width=7, fig.height=4,fig.align='center'} 384 | 385 | ggplot(data = df_eval) + 386 | geom_point(aes(x = y_pred,y = y_test), 387 | color = "#1B96B5") + 388 | labs(title = "Datos de prueba vs predicciónes", 389 | x = "Predicciones", y = "Content") + 390 | theme(plot.title = element_text(hjust = 0.5)) 391 | 392 | ``` 393 | 394 | \section{Conclusiones} 395 | 396 | Se logro construir un modelo que puede predecir la calificación que un resumen de texto va a obtener, el modelo obtuvo un error cuadrático medio de `r MSE` , lo cual es bastante bueno, sobre todo si se tiene en cuenta que es un modelo sencillo. 397 | Además, se pudo mostrar el potencial de ambos lenguajes de programación, pues, aunque todo se ejecuto en R, se utilizaron las que posiblemente sean las librerías más utilizadas en Python para ciencia de datos: tensorflow y sklearn. El modelo construido aquí se puede guardar y después cargar en un script de Python, y funcionará perfectamente en el entorno de Python, igual que como lo hizo en el entorno de R. 398 | 399 | 400 | 401 | -------------------------------------------------------------------------------- /text_summaries/Resultados.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Abraham1011/Data_science/c5e96e03b8271c119f4b886bb4bda7074b5b87d6/text_summaries/Resultados.pdf -------------------------------------------------------------------------------- /text_summaries/data/temporal.txt: -------------------------------------------------------------------------------- 1 | 2 | --------------------------------------------------------------------------------