├── .gitattributes ├── .gitignore ├── README.md ├── büyük veri ├── buyuk_veri.ipynb ├── churn.csv └── diabetes.csv ├── dogrusal olmayan regresyon modelleri ├── Hitters.csv └── dogrusal_olmayan_regresyon_modelleri.ipynb ├── gozetimsiz_ogrenme ├── USArrests.csv └── gozetimsiz_ogrenme.ipynb ├── metin_madenciligi ├── VBO.jpg ├── kelime_bulutu.png ├── nlp_tm.ipynb ├── tr.png ├── train.tsv └── vbo.png ├── ml_2 dogrusal reg kuzenleri ├── Advertising.csv ├── Hitters.csv └── dogrusal_regresyon_ve_kuzenleri.ipynb ├── py programlama └── python_programlama.py ├── siniflandirma problemleri ├── .DS_Store ├── diabetes.csv └── siniflandirma.ipynb ├── twitter ├── VBO.jpg └── twitter.ipynb ├── veri bilimi için istatistik └── veri_bilimi_icin_istatistik.ipynb ├── veri gorsellestirme ├── train.tsv └── veri_gorsellestirme.ipynb ├── veri manipulasyonu └── veri_manipulasyonu.ipynb ├── veri on isleme └── veri_on_isleme.ipynb └── veri tabanlari sql ├── .DS_Store ├── sql_veri_setleri ├── .DS_Store ├── Categories.csv ├── Customers.csv ├── Employees.csv ├── OrderDetails.csv ├── Orders.csv ├── Products.csv ├── Shippers.csv └── Suppliers.csv └── sqlite_kodlar.ipynb /.gitattributes: -------------------------------------------------------------------------------- 1 | # Auto detect text files and perform LF normalization 2 | * text=auto 3 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | share/python-wheels/ 24 | *.egg-info/ 25 | .installed.cfg 26 | *.egg 27 | MANIFEST 28 | 29 | # PyInstaller 30 | # Usually these files are written by a python script from a template 31 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 32 | *.manifest 33 | *.spec 34 | 35 | # Installer logs 36 | pip-log.txt 37 | pip-delete-this-directory.txt 38 | 39 | # Unit test / coverage reports 40 | htmlcov/ 41 | .tox/ 42 | .nox/ 43 | .coverage 44 | .coverage.* 45 | .cache 46 | nosetests.xml 47 | coverage.xml 48 | *.cover 49 | *.py,cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | cover/ 53 | 54 | # Translations 55 | *.mo 56 | *.pot 57 | 58 | # Django stuff: 59 | *.log 60 | local_settings.py 61 | db.sqlite3 62 | db.sqlite3-journal 63 | 64 | # Flask stuff: 65 | instance/ 66 | .webassets-cache 67 | 68 | # Scrapy stuff: 69 | .scrapy 70 | 71 | # Sphinx documentation 72 | docs/_build/ 73 | 74 | # PyBuilder 75 | .pybuilder/ 76 | target/ 77 | 78 | # Jupyter Notebook 79 | .ipynb_checkpoints 80 | 81 | # IPython 82 | profile_default/ 83 | ipython_config.py 84 | 85 | # pyenv 86 | # For a library or package, you might want to ignore these files since the code is 87 | # intended to run in multiple environments; otherwise, check them in: 88 | # .python-version 89 | 90 | # pipenv 91 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 92 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 93 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 94 | # install all needed dependencies. 95 | #Pipfile.lock 96 | 97 | # poetry 98 | # Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. 99 | # This is especially recommended for binary packages to ensure reproducibility, and is more 100 | # commonly ignored for libraries. 101 | # https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control 102 | #poetry.lock 103 | 104 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow 105 | __pypackages__/ 106 | 107 | # Celery stuff 108 | celerybeat-schedule 109 | celerybeat.pid 110 | 111 | # SageMath parsed files 112 | *.sage.py 113 | 114 | # Environments 115 | .env 116 | .venv 117 | env/ 118 | venv/ 119 | ENV/ 120 | env.bak/ 121 | venv.bak/ 122 | 123 | # Spyder project settings 124 | .spyderproject 125 | .spyproject 126 | 127 | # Rope project settings 128 | .ropeproject 129 | 130 | # mkdocs documentation 131 | /site 132 | 133 | # mypy 134 | .mypy_cache/ 135 | .dmypy.json 136 | dmypy.json 137 | 138 | # Pyre type checker 139 | .pyre/ 140 | 141 | # pytype static type analyzer 142 | .pytype/ 143 | 144 | # Cython debug symbols 145 | cython_debug/ 146 | 147 | # PyCharm 148 | # JetBrains specific template is maintainted in a separate JetBrains.gitignore that can 149 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 150 | # and can be added to the global gitignore or merged into this file. For a more nuclear 151 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 152 | #.idea/ 153 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Data Science Notebooks 2 | 3 | Bu repo, veri bilimi ile ilgili çeşitli konuları kapsayan Jupyter Notebook'ları içerir. Farklı veri setleri üzerinde yapılan analizler, veri görselleştirmeleri ve makine öğrenimi modelleri ile ilgili kapsamlı örnekler sunulmaktadır. 4 | 5 | ## İçerik 6 | 7 | ### 1. **Veri Ön İşleme** 8 | Bu klasörde, ham veri üzerinde gerçekleştirilen temel işlemler yer alır. 9 | - **Eksik veri doldurma** 10 | - **Aykırı değer tespiti ve temizliği** 11 | - **Veri ölçekleme ve normalizasyon** gibi teknikler uygulanmıştır. 12 | 13 | ### 2. **Keşifsel Veri Analizi (EDA)** 14 | Bu bölümde, çeşitli veri setleri üzerinde yapılan görselleştirme ve istatistiksel analizler bulunur. Amaç, veri setinin yapısını ve dağılımını daha iyi anlamaktır. 15 | - **Histogramlar, kutu grafikleri ve dağılım grafikleri** 16 | - **Korelasyon analizleri** 17 | - **Temel istatistiksel özetlemeler** 18 | 19 | ### 3. **Makine Öğrenimi Modelleri** 20 | Bu klasörde, denetimli ve denetimsiz öğrenme algoritmalarının uygulandığı örnekler yer alır. 21 | - **Regresyon** ve **sınıflandırma** modelleri 22 | - **Kümeleme (K-means, t-SNE)** 23 | - Modellerin eğitim ve test işlemleri ile sonuçlarının değerlendirilmesi 24 | 25 | ### 4. **Model Değerlendirme** 26 | Bu bölüm, makine öğrenimi modellerinin performansını ölçmek ve değerlendirmek için kullanılan yöntemleri içerir. 27 | - **Doğruluk (Accuracy), R^2, F1 skoru** gibi metrikler 28 | - **ROC-AUC eğrisi** ve diğer model değerlendirme teknikleri 29 | 30 | ### 5. **Özellik Mühendisliği** 31 | Bu bölümde, yeni özellikler türetme ve mevcut özelliklerin seçimi gibi işlemler bulunmaktadır. 32 | - **Doğru özellik setini seçme** ve model performansını artırma 33 | - **Özellik önem sıralaması** 34 | 35 | ### 6. **Hyperparameter Tuning** 36 | Bu klasörde, GridSearch ve RandomSearch yöntemleri ile model hiperparametrelerini optimize etme örnekleri sunulmuştur. 37 | - **Hiperparametre ayarlama** ve **çapraz doğrulama** yöntemleri kullanılarak model performansının artırılması 38 | 39 | ### 7. **Çeşitli Veri Setleri ile Çalışmalar** 40 | Farklı endüstrilerden (finans, sağlık, e-ticaret, vb.) alınmış veri setleri üzerinde yapılan çalışmalar içerir. 41 | - Her bir veri seti için ayrıntılı analiz ve makine öğrenimi modellemeleri bulunmaktadır. 42 | 43 | ## Genel Bilgilendirme 44 | Bu repo, veri bilimi yolculuğunuzda size yardımcı olacak çeşitli kaynaklar ve örneklerle doludur. Hem başlangıç seviyesindeki kullanıcılar hem de ileri seviye veri bilimcileri için faydalı içerikler sunmaktadır. 45 | -------------------------------------------------------------------------------- /büyük veri/churn.csv: -------------------------------------------------------------------------------- 1 | ,Names,Age,Total_Purchase,Account_Manager,Years,Num_Sites,Churn 2 | 0,Cameron Williams,42.0,11066.8,0,7.22,8.0,1 3 | 1,Kevin Mueller,41.0,11916.22,0,6.5,11.0,1 4 | 2,Eric Lozano,38.0,12884.75,0,6.67,12.0,1 5 | 3,Phillip White,42.0,8010.76,0,6.71,10.0,1 6 | 4,Cynthia Norton,37.0,9191.58,0,5.56,9.0,1 7 | 5,Jessica Williams,48.0,10356.02,0,5.12,8.0,1 8 | 6,Eric Butler,44.0,11331.58,1,5.23,11.0,1 9 | 7,Zachary Walsh,32.0,9885.12,1,6.92,9.0,1 10 | 8,Ashlee Carr,43.0,14062.6,1,5.46,11.0,1 11 | 9,Jennifer Lynch,40.0,8066.94,1,7.11,11.0,1 12 | 10,Paula Harris,30.0,11575.37,1,5.22,8.0,1 13 | 11,Bruce Phillips,45.0,8771.02,1,6.64,11.0,1 14 | 12,Craig Garner,45.0,8988.67,1,4.84,11.0,1 15 | 13,Nicole Olson,40.0,8283.32,1,5.1,13.0,1 16 | 14,Harold Griffin,41.0,6569.87,1,4.3,11.0,1 17 | 15,James Wright,38.0,10494.82,1,6.81,12.0,1 18 | 16,Doris Wilkins,45.0,8213.41,1,7.35,11.0,1 19 | 17,Katherine Carpenter,43.0,11226.88,0,8.08,12.0,1 20 | 18,Lindsay Martin,53.0,5515.09,0,6.85,8.0,1 21 | 19,Kathy Curry,46.0,8046.4,1,5.69,8.0,1 22 | 20,Dean Miller,41.0,9771.22,0,5.81,11.0,1 23 | 21,Kevin Ramos,56.0,12217.95,1,5.79,11.0,1 24 | 22,Jennifer Wood,35.0,9381.12,1,6.78,11.0,1 25 | 23,Paul Walker,41.0,10474.94,0,6.4,12.0,1 26 | 24,Lindsey Day,55.0,11158.5,1,4.86,10.0,1 27 | 25,Steven Hernandez,54.0,8207.1,0,4.26,11.0,1 28 | 26,Danielle Kirk,35.0,12403.81,0,4.42,11.0,1 29 | 27,Troy Oliver,40.0,10041.13,0,7.61,11.0,1 30 | 28,Darlene Evans,44.0,12721.55,0,5.18,11.0,1 31 | 29,Mrs. Sarah Morales,37.0,8284.89,1,5.6,10.0,1 32 | 30,Laura Pierce,54.0,10661.48,1,5.16,8.0,1 33 | 31,Carla Ball,45.0,10793.11,1,4.65,10.0,1 34 | 32,Robert Hill,46.0,9322.44,1,2.69,11.0,1 35 | 33,Joseph Harrell,44.0,9814.22,1,5.45,12.0,1 36 | 34,Tammy Shepherd,48.0,11740.0,1,4.97,11.0,1 37 | 35,Kelly Carroll,37.0,14383.36,0,7.84,10.0,1 38 | 36,Heidi Munoz,38.0,11887.39,0,5.83,12.0,1 39 | 37,Thomas Sawyer,48.0,10367.08,1,6.45,12.0,1 40 | 38,Erin Rivera,37.0,8198.06,1,5.04,12.0,1 41 | 39,Raymond Berry,41.0,7777.37,0,4.81,12.0,1 42 | 40,Patrick Bell,41.0,11699.26,0,6.99,12.0,1 43 | 41,Jason Jones MD,55.0,16838.94,1,6.66,8.0,1 44 | 42,Jermaine Johnson,36.0,10484.33,1,8.84,10.0,1 45 | 43,George Archer,37.0,8736.06,1,5.51,12.0,1 46 | 44,Richard Fields,50.0,10850.78,1,5.63,9.0,1 47 | 45,Amanda Roberts,43.0,8601.01,0,5.65,12.0,1 48 | 46,David Kennedy,45.0,11170.06,1,7.76,10.0,1 49 | 47,Adam Waters,40.0,11185.62,0,6.26,12.0,1 50 | 48,Patricia Elliott,36.0,9793.42,0,5.98,9.0,1 51 | 49,Summer Haley,43.0,12524.68,0,5.98,10.0,1 52 | 50,Brittany Jackson,50.0,12682.9,0,4.58,10.0,1 53 | 51,Shawn Chavez,44.0,14036.28,1,7.25,10.0,1 54 | 52,Laura Fleming,41.0,10179.92,1,5.97,10.0,1 55 | 53,Marcus Garza,46.0,12772.72,1,6.46,9.0,1 56 | 54,Heather Murphy,46.0,12122.19,0,7.53,11.0,1 57 | 55,Jeffrey Hill,40.0,9922.3,1,5.07,11.0,1 58 | 56,Amy Griffin,48.0,4771.65,0,3.77,12.0,1 59 | 57,Michelle Hill,42.0,10827.96,1,4.2,10.0,1 60 | 58,David Rodriguez,38.0,8642.01,1,4.76,11.0,1 61 | 59,Daniel Bartlett,45.0,6749.49,0,5.88,14.0,1 62 | 60,Cheyenne Rogers,36.0,6447.99,1,5.52,11.0,1 63 | 61,Seth Lopez,44.0,11091.21,0,5.9,10.0,1 64 | 62,Brittany Hopkins,55.0,5024.52,0,8.11,9.0,1 65 | 63,Carla Patterson,58.0,12376.37,0,6.01,12.0,1 66 | 64,Michelle Holloway,49.0,12458.8,0,5.04,9.0,1 67 | 65,Kenneth Bryant,47.0,7222.35,0,6.41,11.0,1 68 | 66,Cody Williams,38.0,11758.69,0,6.97,11.0,1 69 | 67,Lori Ross,55.0,8772.0,1,6.43,10.0,1 70 | 68,David Montes,45.0,7351.38,0,5.76,11.0,1 71 | 69,Robin Rowe,30.0,7960.64,1,2.72,10.0,1 72 | 70,Amber Spears,41.0,13365.66,1,8.36,9.0,1 73 | 71,Kathy Johnson,32.0,8617.98,1,6.2,10.0,1 74 | 72,Thomas Rose,52.0,11849.13,0,6.8,11.0,1 75 | 73,Sandra Williams,37.0,11145.95,1,5.87,11.0,1 76 | 74,Nathan Murphy,42.0,9577.42,0,5.86,11.0,1 77 | 75,Ryan Weaver,39.0,10110.4,1,5.78,13.0,1 78 | 76,Jennifer King,43.0,8024.08,0,4.08,12.0,1 79 | 77,Theresa Berry,52.0,8563.24,0,5.29,11.0,1 80 | 78,Robin Burke,40.0,9403.58,1,6.01,9.0,1 81 | 79,Todd Thompson,38.0,12520.53,1,6.3,11.0,1 82 | 80,John Thomas,53.0,13655.59,1,2.05,10.0,1 83 | 81,Timothy Johnston,41.0,12680.46,0,5.92,11.0,1 84 | 82,Sarah Holloway,45.0,8429.65,1,7.1,10.0,1 85 | 83,Scott Chambers,44.0,11424.0,1,5.98,10.0,1 86 | 84,Kathryn Ponce,46.0,13725.55,0,5.09,9.0,1 87 | 85,Patrick Robinson,47.0,7396.1,0,4.11,11.0,1 88 | 86,Laurie Green,51.0,8100.43,1,4.92,13.0,1 89 | 87,Amber Hobbs,43.0,10400.88,0,5.84,10.0,1 90 | 88,Tina King,40.0,8625.96,1,6.27,13.0,1 91 | 89,David Hess,41.0,5192.38,1,4.86,11.0,1 92 | 90,Jose Lee,45.0,12455.38,0,3.26,11.0,1 93 | 91,Brian Young,49.0,10522.21,0,7.25,14.0,1 94 | 92,Erica Flores,38.0,9624.18,0,5.53,12.0,1 95 | 93,Brenda Hall,37.0,11628.1,1,6.83,10.0,1 96 | 94,Dakota Williams,41.0,13190.3,1,7.38,10.0,1 97 | 95,Tammy Reed,49.0,13173.8,1,6.36,12.0,1 98 | 96,Devin Cook,29.0,8688.17,1,5.7,9.0,1 99 | 97,Joseph Mitchell,40.0,11434.61,1,8.51,10.0,1 100 | 98,Brett Allen MD,45.0,12309.39,1,4.57,11.0,1 101 | 99,Daniel Bates,30.0,10744.14,1,7.16,9.0,1 102 | 100,Chelsea Ward,43.0,12104.25,0,5.86,7.0,1 103 | 101,Ryan Richardson,45.0,11599.27,1,4.78,11.0,1 104 | 102,Stephen Callahan,42.0,6635.19,0,6.68,11.0,1 105 | 103,Mrs. Melinda Davila,51.0,10978.16,1,6.95,11.0,1 106 | 104,Carla Howell,44.0,13743.27,0,7.8,11.0,1 107 | 105,Eric Kelley,43.0,10271.19,1,5.31,14.0,1 108 | 106,Randy Hayes,43.0,6715.23,0,4.16,8.0,1 109 | 107,Jeffrey Glenn,50.0,10199.44,0,5.79,9.0,1 110 | 108,Megan Tucker,38.0,11386.56,0,8.82,9.0,1 111 | 109,Michael Acosta,49.0,12112.53,0,7.31,9.0,1 112 | 110,Eileen Reyes,34.0,9228.84,1,5.29,12.0,1 113 | 111,Mr. Jerome Dawson,36.0,6330.43,1,5.43,7.0,1 114 | 112,Katie Sutton,40.0,11611.51,1,5.64,14.0,1 115 | 113,Dr. Kylie Mccann,37.0,8397.41,0,5.59,12.0,1 116 | 114,Jose Kelly,49.0,9714.47,0,5.7,9.0,1 117 | 115,Nicholas Levy,51.0,11602.11,1,5.3,10.0,1 118 | 116,Jennifer Carrillo,35.0,12871.79,0,4.64,12.0,1 119 | 117,April Freeman,41.0,9923.79,1,4.75,13.0,1 120 | 118,Hunter Rivera,26.0,8787.39,1,5.42,11.0,1 121 | 119,Travis Ellis,46.0,12200.31,0,6.62,10.0,1 122 | 120,Tommy Frey,38.0,8825.87,1,8.97,10.0,1 123 | 121,Nicole Friedman,44.0,8615.52,0,7.39,9.0,1 124 | 122,James Newman,35.0,9766.95,1,4.59,13.0,1 125 | 123,Stephanie Gonzales,36.0,11550.29,0,6.46,13.0,1 126 | 124,Mary Aguilar,50.0,6244.75,0,4.64,11.0,1 127 | 125,Jordan Owens,45.0,9459.52,0,5.72,9.0,1 128 | 126,Devin Wilson,46.0,11222.48,0,4.92,9.0,1 129 | 127,Samantha Fisher,38.0,14693.45,1,7.01,10.0,1 130 | 128,Monique Medina,49.0,15005.43,1,5.27,12.0,1 131 | 129,Nathan Gross,42.0,10276.33,1,6.54,11.0,1 132 | 130,Douglas Joseph,44.0,8474.11,0,6.61,14.0,1 133 | 131,Elizabeth Moore,47.0,8235.74,1,6.2,10.0,1 134 | 132,Adam Gomez,48.0,6495.01,1,5.57,12.0,1 135 | 133,Timothy Harvey,45.0,8099.29,1,5.66,10.0,1 136 | 134,Adam Strong,50.0,11775.75,1,4.83,10.0,1 137 | 135,Charles Whitney,39.0,8667.02,0,6.82,10.0,1 138 | 136,Lisa Davis,55.0,9000.31,1,6.78,10.0,1 139 | 137,Jacob Escobar,50.0,14398.89,1,5.54,12.0,1 140 | 138,Douglas Padilla,38.0,10863.05,1,5.59,11.0,1 141 | 139,Russell Bauer,38.0,7287.57,1,7.39,11.0,1 142 | 140,Jessica Horton,43.0,6992.09,1,6.84,11.0,1 143 | 141,Alexis Hill,39.0,6351.79,0,5.86,6.0,1 144 | 142,Heather Hickman,31.0,11297.57,1,6.23,10.0,1 145 | 143,Steven Stevenson,52.0,7460.05,0,5.39,12.0,1 146 | 144,Hailey Sanchez,41.0,14429.41,1,5.51,11.0,1 147 | 145,Randall Weber,34.0,12983.26,1,6.53,13.0,1 148 | 146,Anna Bryant,39.0,8801.86,1,4.43,10.0,1 149 | 147,Robert Russo,58.0,9703.93,0,5.16,11.0,1 150 | 148,Tara Burton,49.0,11177.08,0,4.44,12.0,1 151 | 149,Yvette Perry,41.0,8560.76,1,3.99,12.0,1 152 | 150,Michael Williams,35.0,15571.26,0,6.45,9.0,0 153 | 151,Connie Golden,39.0,10268.87,1,3.68,6.0,0 154 | 152,Seth Griffin,44.0,12328.03,1,4.6,9.0,0 155 | 153,Rachel Cherry,52.0,9782.83,0,3.96,7.0,0 156 | 154,Robert Sanders,29.0,9378.24,0,4.93,8.0,0 157 | 155,Chris Sutton,37.0,10314.67,1,5.86,8.0,0 158 | 156,Kenneth Alexander,30.0,8403.78,1,4.13,7.0,0 159 | 157,Jason Taylor,46.0,5570.45,0,2.23,7.0,0 160 | 158,Dennis Morgan,43.0,8042.76,0,4.95,8.0,0 161 | 159,Penny Perez,44.0,10309.15,1,6.35,9.0,0 162 | 160,Erin Gilbert,35.0,12357.31,0,5.03,10.0,0 163 | 161,Sean Macias,47.0,11306.1,0,6.01,7.0,0 164 | 162,Christina Lewis,32.0,13630.93,0,4.38,10.0,0 165 | 163,Lori Jackson,36.0,12284.58,1,5.7,9.0,0 166 | 164,Mark Murray,39.0,8930.49,1,5.71,10.0,0 167 | 165,Dana Lewis,43.0,10578.14,0,1.87,10.0,0 168 | 166,Dr. Michael Contreras,45.0,10364.82,0,5.93,5.0,0 169 | 167,Rebecca Rasmussen,33.0,7750.54,1,4.57,8.0,0 170 | 168,Melanie Turner,48.0,10963.5,1,5.89,9.0,0 171 | 169,Jeffery Ferguson,32.0,12547.91,0,7.78,10.0,0 172 | 170,Brenda Haley,41.0,14069.41,1,1.62,10.0,0 173 | 171,William Taylor,44.0,9723.71,0,4.34,9.0,0 174 | 172,William Lyons,43.0,6298.75,1,4.51,9.0,0 175 | 173,Bobby Christian,35.0,12107.03,0,5.82,9.0,0 176 | 174,Victoria Medina,43.0,11674.12,0,2.88,8.0,0 177 | 175,William Haney,56.0,12502.81,0,5.47,8.0,0 178 | 176,Alan Gray,29.0,9617.59,0,5.49,8.0,0 179 | 177,Jessica Johnson,36.0,13472.79,1,4.77,8.0,0 180 | 178,Joshua Tran,49.0,9805.7,0,4.86,9.0,0 181 | 179,Lisa Harmon,31.0,11743.24,0,5.3,6.0,0 182 | 180,Stephen Jenkins,30.0,12788.37,0,4.31,10.0,0 183 | 181,Misty Tate,40.0,5218.49,0,3.8,10.0,0 184 | 182,Isaiah Noble,44.0,10526.18,0,7.67,9.0,0 185 | 183,Jeff Davis,43.0,8583.5,1,4.39,10.0,0 186 | 184,Stacey Harding,39.0,11008.0,0,4.42,8.0,0 187 | 185,William Perkins,42.0,9625.89,1,5.84,9.0,0 188 | 186,James Contreras,46.0,11119.11,1,3.51,14.0,0 189 | 187,Brian Morse,46.0,9982.55,1,4.75,7.0,0 190 | 188,Jennifer Hernandez,39.0,11159.46,0,3.95,11.0,0 191 | 189,Heather Figueroa,36.0,12668.26,0,4.54,12.0,0 192 | 190,Russell Marks,38.0,9087.9,0,2.7,10.0,0 193 | 191,Riley Gill,41.0,9091.21,0,4.55,11.0,0 194 | 192,Brian Love,44.0,8755.02,1,5.71,8.0,0 195 | 193,Lauren Walker,37.0,6362.93,1,6.8,7.0,0 196 | 194,Melanie Bender,48.0,13189.35,0,3.25,7.0,0 197 | 195,Samuel Castillo,47.0,10584.71,0,6.05,8.0,0 198 | 196,Ashley Soto,49.0,9853.64,1,6.95,6.0,0 199 | 197,Adriana James,36.0,10448.09,0,4.13,8.0,0 200 | 198,Andrea Salas,42.0,11473.38,1,2.87,10.0,0 201 | 199,Erik Johnson,39.0,8986.28,0,4.36,8.0,0 202 | 200,Christopher Whitehead,33.0,13314.19,0,5.45,9.0,0 203 | 201,Casey Mcdaniel,41.0,9918.77,0,4.02,10.0,0 204 | 202,Jeremiah Lee,45.0,12783.21,1,4.47,10.0,0 205 | 203,Jennifer Patterson,46.0,7026.18,0,6.3,8.0,0 206 | 204,Lawrence Morton,48.0,9706.88,0,6.45,8.0,0 207 | 205,Jeffrey Hunt,42.0,10236.95,1,5.71,8.0,0 208 | 206,Gina Richardson,33.0,13157.08,1,5.04,10.0,0 209 | 207,Richard Farmer,44.0,8588.46,1,7.77,8.0,0 210 | 208,Brian White,48.0,7778.73,1,4.18,8.0,0 211 | 209,Richard Meadows,42.0,10268.0,0,5.33,6.0,0 212 | 210,Omar Moore,34.0,9845.35,0,4.82,7.0,0 213 | 211,Tasha Reed,37.0,11912.13,0,5.67,10.0,0 214 | 212,Albert Clayton,33.0,12115.91,1,5.5,9.0,0 215 | 213,John Mejia,35.0,10801.37,1,5.64,11.0,0 216 | 214,Diane Terry,53.0,13173.82,0,5.26,7.0,0 217 | 215,Christina Maldonado,49.0,9940.76,0,5.72,11.0,0 218 | 216,Kathryn Malone,46.0,12261.79,1,3.72,10.0,0 219 | 217,Cynthia Burns,47.0,12987.28,0,5.86,10.0,0 220 | 218,Christina Reed,51.0,4523.91,0,3.98,8.0,0 221 | 219,Brittney Stokes,41.0,6172.23,0,4.28,8.0,0 222 | 220,Mary Griffin,49.0,6283.67,0,6.35,11.0,0 223 | 221,Carla Wolfe,48.0,7232.06,1,4.9,6.0,0 224 | 222,Emily Little,35.0,6683.82,1,7.82,7.0,0 225 | 223,Jason Santana,39.0,9408.96,1,3.83,4.0,0 226 | 224,Willie Proctor,47.0,8291.93,0,4.47,7.0,0 227 | 225,Todd Harris,41.0,10017.82,0,6.0,8.0,0 228 | 226,Kimberly Nichols,38.0,7320.49,0,1.58,10.0,0 229 | 227,Derek Russell,43.0,8817.29,0,3.19,8.0,0 230 | 228,Robert Huff,36.0,8948.86,0,7.37,10.0,0 231 | 229,Kelly Terry,45.0,3689.95,1,5.01,11.0,0 232 | 230,Francisco Martinez,52.0,8185.22,1,5.76,8.0,0 233 | 231,Jason Garcia,43.0,9347.89,1,4.17,8.0,0 234 | 232,Daniel Johnson,42.0,12888.85,1,4.79,8.0,0 235 | 233,Gregory Blake,41.0,5387.41,1,4.17,8.0,0 236 | 234,Richard Odonnell,38.0,7605.49,0,6.99,10.0,0 237 | 235,Monica Espinoza,45.0,8480.93,0,4.57,9.0,0 238 | 236,David Hansen,29.0,11274.46,1,4.43,8.0,0 239 | 237,Elizabeth Chandler,43.0,13116.73,0,3.57,9.0,0 240 | 238,Michael White,32.0,7896.65,0,7.12,8.0,0 241 | 239,William Pacheco,36.0,12086.92,1,5.52,6.0,0 242 | 240,Dr. Brandon Adams,42.0,10500.77,0,5.68,6.0,0 243 | 241,William Burns,38.0,7673.0,1,7.42,7.0,0 244 | 242,Jack Ortega,42.0,14242.7,0,5.79,10.0,0 245 | 243,Jonathan Cooley,40.0,6590.63,1,4.52,7.0,0 246 | 244,Erin Norris,37.0,15070.32,0,6.91,6.0,0 247 | 245,Michael Grant,37.0,13717.41,1,6.5,7.0,0 248 | 246,Connor Knapp,41.0,9219.95,1,5.21,10.0,0 249 | 247,Megan Jenkins,65.0,10430.5,0,6.5,6.0,0 250 | 248,Sarah Hall,45.0,5200.06,1,6.33,8.0,0 251 | 249,Tony Schneider,43.0,11197.42,1,3.48,9.0,0 252 | 250,Karen Peterson,45.0,13650.64,0,4.96,8.0,0 253 | 251,Tiffany Case,42.0,7351.72,0,5.26,9.0,0 254 | 252,Mary Sanchez,33.0,10306.21,1,6.36,9.0,0 255 | 253,David Moran,37.0,10147.22,0,6.63,8.0,0 256 | 254,David Lopez,48.0,10528.71,0,5.0,9.0,0 257 | 255,Cynthia Nguyen,41.0,10054.6,1,4.93,6.0,0 258 | 256,Brittany Smith,45.0,8595.24,0,6.4,10.0,0 259 | 257,Laura Smith,45.0,6681.61,1,5.6,8.0,0 260 | 258,Michael Dominguez,29.0,10203.18,1,5.82,8.0,0 261 | 259,Paul Wagner,42.0,10427.12,0,6.64,10.0,0 262 | 260,Calvin Coleman,39.0,10388.38,0,5.1,7.0,0 263 | 261,Lisa Burton,39.0,9353.38,0,4.06,7.0,0 264 | 262,John Gonzales,42.0,11756.06,0,4.88,8.0,0 265 | 263,Linda Hubbard,40.0,12295.95,1,5.69,11.0,0 266 | 264,Rachel Hull,40.0,7819.46,1,4.77,9.0,0 267 | 265,Tracy Ray,34.0,10674.92,1,3.09,9.0,0 268 | 266,Sarah Bailey,37.0,10989.43,0,6.62,10.0,0 269 | 267,Aaron King,46.0,7504.79,0,5.98,8.0,0 270 | 268,Bradley Washington,46.0,9306.05,0,5.35,7.0,0 271 | 269,Holly Caldwell,37.0,11523.63,1,3.56,7.0,0 272 | 270,Cheryl Bruce,44.0,9613.84,1,4.38,8.0,0 273 | 271,Megan Flynn,48.0,13298.38,0,2.99,8.0,0 274 | 272,Amanda Williams,37.0,8614.75,0,5.03,9.0,0 275 | 273,Amy Morris,45.0,9951.97,1,4.4,6.0,0 276 | 274,Teresa Garcia,46.0,11343.33,1,3.69,8.0,0 277 | 275,Thomas Mcintosh,38.0,10026.44,1,6.85,9.0,0 278 | 276,Justin Friedman,38.0,8473.65,1,4.78,7.0,0 279 | 277,Whitney Beasley,42.0,12989.06,0,5.0,10.0,0 280 | 278,Beverly Perry,38.0,12893.47,1,5.69,5.0,0 281 | 279,David Sweeney,34.0,7324.32,0,6.69,10.0,0 282 | 280,Amber Williams,40.0,8530.23,1,3.66,10.0,0 283 | 281,Lisa Murray,46.0,10675.86,0,3.33,7.0,0 284 | 282,Jose Hoffman,43.0,10300.24,0,6.44,8.0,0 285 | 283,Regina Kirby,41.0,10921.54,0,5.07,3.0,0 286 | 284,Shawn Ramirez,42.0,10527.52,1,8.42,8.0,0 287 | 285,Ruben Thomas,44.0,8338.05,0,6.57,11.0,0 288 | 286,Austin Palmer,36.0,9593.71,0,3.98,6.0,0 289 | 287,Anthony Hall,46.0,11537.69,1,6.37,7.0,0 290 | 288,Richard Gardner,35.0,12936.64,1,3.73,6.0,0 291 | 289,Destiny Morales,40.0,8815.24,0,5.63,9.0,0 292 | 290,Brittany Murphy,42.0,12300.94,1,6.89,10.0,0 293 | 291,Tony Soto,35.0,11830.36,1,4.41,6.0,0 294 | 292,Sharon Torres,36.0,14715.53,1,5.73,9.0,0 295 | 293,Brenda Fuentes,44.0,9214.98,1,6.44,7.0,0 296 | 294,Rodney Evans,49.0,8092.13,0,6.32,5.0,0 297 | 295,Robin Woods,41.0,12008.34,1,4.94,7.0,0 298 | 296,Jennifer Anderson,38.0,11803.58,1,6.97,6.0,0 299 | 297,Tabitha Love,37.0,13498.28,1,7.06,9.0,0 300 | 298,Diana Carroll,46.0,9601.95,0,5.9,9.0,0 301 | 299,Matthew Jacobs,54.0,13184.51,0,6.04,8.0,0 302 | 300,Rebecca Prince,36.0,4690.57,1,5.41,8.0,0 303 | 301,Eric Smith,37.0,11416.56,0,6.06,6.0,0 304 | 302,Jeffrey Hernandez,56.0,9940.54,1,6.57,7.0,0 305 | 303,William Newman,35.0,13680.25,1,5.79,9.0,0 306 | 304,Ashley Smith,29.0,5900.78,1,5.56,8.0,0 307 | 305,Sandra Mcintyre,36.0,10339.05,1,6.88,7.0,0 308 | 306,Robert Joseph,46.0,11538.57,1,7.93,10.0,0 309 | 307,George Chavez,43.0,7178.92,1,5.32,8.0,0 310 | 308,Joshua Walters,51.0,8840.51,0,2.7,7.0,0 311 | 309,John Howard,47.0,14154.26,0,4.73,9.0,0 312 | 310,Deborah Howell,42.0,10583.76,0,6.51,9.0,0 313 | 311,Terry Diaz,46.0,11401.63,0,6.13,5.0,0 314 | 312,Roberto Gonzales,41.0,7495.6,1,6.57,8.0,0 315 | 313,Jesse Mitchell,36.0,8878.96,1,4.66,9.0,0 316 | 314,Linda Allen,37.0,11111.59,1,6.0,7.0,0 317 | 315,Heather Hernandez,42.0,8519.64,0,3.99,8.0,0 318 | 316,Ryan Chapman,44.0,12361.42,1,3.7,10.0,0 319 | 317,Anthony Mooney,41.0,9014.9,1,4.45,7.0,0 320 | 318,Timothy Henry,42.0,6081.5,0,3.73,8.0,0 321 | 319,Vanessa Hayes,43.0,10944.65,1,2.62,9.0,0 322 | 320,Timothy Jacobs,40.0,11764.35,1,5.54,9.0,0 323 | 321,Austin Melendez,44.0,12155.91,1,4.11,5.0,0 324 | 322,Brittany Green,41.0,11971.75,1,5.38,7.0,0 325 | 323,Michael Perry,41.0,14080.95,1,4.61,7.0,0 326 | 324,Theresa Martinez,41.0,6204.86,1,6.08,8.0,0 327 | 325,Jessica Gutierrez,39.0,4994.48,0,5.02,8.0,0 328 | 326,James Franklin,36.0,11047.43,0,5.98,8.0,0 329 | 327,Julie Francis,40.0,12925.64,0,4.04,7.0,0 330 | 328,Marissa Nguyen,36.0,8233.25,1,4.35,7.0,0 331 | 329,Marie Bauer,39.0,9282.33,0,4.52,11.0,0 332 | 330,Thomas Brown,46.0,13383.25,1,5.27,9.0,0 333 | 331,Julie Moore,40.0,8911.91,0,6.99,10.0,0 334 | 332,Nicole Jacobson,41.0,8783.13,1,6.2,7.0,0 335 | 333,John Davis,35.0,12654.35,0,1.66,7.0,0 336 | 334,Crystal Mccullough,40.0,6773.23,1,4.29,11.0,0 337 | 335,Michael Patterson,31.0,9574.89,0,7.34,8.0,0 338 | 336,Brianna White,45.0,9722.92,1,3.35,8.0,0 339 | 337,Austin Hays,41.0,9516.87,0,4.94,7.0,0 340 | 338,Tammy Kelley,38.0,6638.87,1,5.61,8.0,0 341 | 339,Monique Delgado,30.0,10960.52,1,5.96,9.0,0 342 | 340,Timothy Mcdonald,52.0,11093.87,0,4.38,5.0,0 343 | 341,Donald Barrett,51.0,10323.07,1,7.03,9.0,0 344 | 342,Darin Alexander,43.0,15858.91,1,4.51,8.0,0 345 | 343,Joseph Taylor,40.0,11309.18,0,4.91,7.0,0 346 | 344,Catherine Martin,32.0,12142.99,0,5.01,7.0,0 347 | 345,Amber Carr,44.0,10965.95,1,4.11,8.0,0 348 | 346,Brenda Walls,51.0,10877.81,1,8.35,8.0,0 349 | 347,Carol Young,38.0,7491.55,0,5.66,12.0,0 350 | 348,James Shah,47.0,9324.49,1,4.91,6.0,0 351 | 349,Julie Mitchell,45.0,9034.21,0,6.89,9.0,0 352 | 350,Martha Green,54.0,11856.28,0,6.19,8.0,0 353 | 351,John Long,41.0,9191.02,1,5.89,9.0,0 354 | 352,Ricky Stewart,41.0,10617.16,0,6.26,8.0,0 355 | 353,Cassandra Proctor,49.0,11321.2,0,4.89,10.0,0 356 | 354,Kenneth James,41.0,15516.52,0,3.53,10.0,0 357 | 355,Shawn Hughes,52.0,5647.92,0,5.08,8.0,0 358 | 356,Kim Adams,30.0,8677.28,1,7.31,7.0,0 359 | 357,Katie Wagner,43.0,15423.03,1,2.41,7.0,0 360 | 358,Joshua Cole,38.0,8097.01,0,4.32,7.0,0 361 | 359,Tony Mathews,47.0,9148.74,1,6.38,8.0,0 362 | 360,Andrew Kent,45.0,12374.97,0,4.66,7.0,0 363 | 361,Nancy Riley,36.0,8646.72,0,6.33,8.0,0 364 | 362,Dr. Tina Le,53.0,10338.09,1,5.07,7.0,0 365 | 363,Jonathan Brown,38.0,13019.89,1,6.65,8.0,0 366 | 364,Amy Baldwin,41.0,13743.42,0,3.92,9.0,0 367 | 365,Gary Bryant,39.0,8646.2,0,2.94,9.0,0 368 | 366,Jeffrey Thompson,42.0,6523.74,0,2.71,8.0,0 369 | 367,Johnny Watts,56.0,8626.48,1,5.07,7.0,0 370 | 368,Stephanie Juarez,41.0,5191.08,0,6.29,7.0,0 371 | 369,James Velazquez,38.0,7097.52,1,4.68,6.0,0 372 | 370,Erin Hall,41.0,13277.82,0,4.84,9.0,0 373 | 371,Justin Campos,53.0,3263.0,1,2.77,9.0,0 374 | 372,Jessica Flores,52.0,14669.61,0,6.28,9.0,0 375 | 373,Richard Bell,47.0,13359.2,1,4.55,8.0,0 376 | 374,Betty Bowers,43.0,12078.39,1,6.06,6.0,0 377 | 375,Rebekah Burns,48.0,8513.75,1,8.24,10.0,0 378 | 376,James Rivas,38.0,9557.2,0,4.47,8.0,0 379 | 377,Robert Terry,44.0,6517.22,0,4.55,12.0,0 380 | 378,Christian Mann,40.0,4762.81,1,5.12,10.0,0 381 | 379,Christopher Yates,45.0,6452.83,1,4.41,6.0,0 382 | 380,Cynthia Daniels,31.0,8688.21,0,3.58,7.0,0 383 | 381,Kellie Ryan,32.0,12254.75,1,5.32,9.0,0 384 | 382,David Payne,39.0,5914.3,1,2.3,9.0,0 385 | 383,Henry Cook,45.0,11486.53,1,5.5,7.0,0 386 | 384,Jamie Moore,51.0,6114.85,1,4.7,9.0,0 387 | 385,Kimberly Lewis,52.0,11828.78,0,5.95,10.0,0 388 | 386,Darren Chavez,35.0,10166.67,0,4.65,10.0,0 389 | 387,Andrea George,43.0,12691.45,0,4.45,11.0,0 390 | 388,Luis Evans,45.0,9903.78,1,5.31,9.0,0 391 | 389,Jonathan Collier,46.0,10363.63,0,5.84,10.0,0 392 | 390,James Adkins,35.0,8475.8,0,3.37,11.0,0 393 | 391,Tamara Keith,39.0,13091.92,1,4.74,9.0,0 394 | 392,Teresa Thompson,37.0,13036.52,1,3.83,6.0,0 395 | 393,Andrea Ortiz,40.0,9521.35,0,5.8,9.0,0 396 | 394,Stefanie Miranda,37.0,5039.46,0,4.08,8.0,0 397 | 395,Becky Cardenas,51.0,13762.79,0,7.52,9.0,0 398 | 396,Maria Stanley,46.0,8941.92,1,5.43,9.0,0 399 | 397,Judy Montes,32.0,12479.72,0,4.67,8.0,0 400 | 398,Nicole Williams,41.0,9139.73,1,5.15,10.0,0 401 | 399,Dalton Sexton,46.0,10406.58,0,7.24,11.0,0 402 | 400,Michael Payne,44.0,11768.65,0,5.54,7.0,0 403 | 401,Keith Bowman,46.0,14664.0,0,6.54,8.0,0 404 | 402,Jason Phillips,46.0,8418.81,1,7.19,6.0,0 405 | 403,Christopher Daniels,34.0,6461.86,1,4.61,8.0,0 406 | 404,Lindsey Moreno,39.0,14317.2,0,5.03,7.0,0 407 | 405,James Evans,42.0,4492.44,1,6.43,9.0,0 408 | 406,Kristine Moreno,29.0,13240.01,1,4.58,6.0,0 409 | 407,Stefanie Whitaker,35.0,7814.68,1,5.99,9.0,0 410 | 408,Monica Todd,35.0,11255.38,0,6.28,4.0,0 411 | 409,Matthew Beck,49.0,13165.68,0,5.49,9.0,0 412 | 410,Donna Good,37.0,12713.9,0,9.15,8.0,0 413 | 411,Sarah Flores,40.0,11527.08,1,5.04,8.0,0 414 | 412,Joshua Kirby,54.0,8375.73,1,4.42,7.0,0 415 | 413,Keith Robertson,41.0,11968.78,0,5.08,6.0,0 416 | 414,Dustin Dodson,48.0,7761.2,0,7.02,9.0,0 417 | 415,Frances Jenkins,32.0,6367.22,1,2.84,10.0,0 418 | 416,Deborah Meyer,44.0,7599.36,1,6.41,6.0,0 419 | 417,Latasha Schwartz,40.0,7642.2,0,5.04,9.0,0 420 | 418,Ashley Jacobs,38.0,11621.67,1,6.11,9.0,0 421 | 419,Michael Brown,47.0,9365.92,1,4.37,5.0,0 422 | 420,Darlene Cain,29.0,12711.15,0,5.74,7.0,0 423 | 421,Abigail Gonzalez,55.0,8243.28,0,3.54,6.0,0 424 | 422,Christina Martin,51.0,10269.97,1,4.85,8.0,0 425 | 423,Robert Adams,38.0,13366.66,1,5.64,7.0,0 426 | 424,Megan Avila,40.0,12401.58,1,5.75,9.0,0 427 | 425,Ann White,43.0,8950.33,0,6.76,9.0,0 428 | 426,Dr. Lauren Brown,41.0,10806.13,1,4.0,6.0,0 429 | 427,Shane Jones,38.0,7713.12,1,5.41,9.0,0 430 | 428,Amanda Moore,40.0,12455.75,1,6.64,9.0,0 431 | 429,Daniel Thompson,33.0,7492.9,0,6.71,7.0,0 432 | 430,Andrew Moreno,43.0,12068.39,1,3.59,7.0,0 433 | 431,Catherine Lucas,40.0,7837.67,1,5.66,11.0,0 434 | 432,Natalie Williams,45.0,9721.59,0,3.43,9.0,0 435 | 433,Mark Gordon,41.0,10028.23,1,5.52,9.0,0 436 | 434,Mrs. Ashley Guerra,34.0,10466.56,0,5.34,7.0,0 437 | 435,Emily Roberson,36.0,12879.7,0,4.7,9.0,0 438 | 436,Matthew Lane,49.0,13078.28,1,4.06,8.0,0 439 | 437,Darren Brown,49.0,11584.59,1,4.84,6.0,0 440 | 438,Alyssa Harper DDS,45.0,9874.69,1,2.41,9.0,0 441 | 439,Jennifer Wood,48.0,11585.16,0,4.61,9.0,0 442 | 440,Taylor Grant,39.0,10643.67,0,5.54,10.0,0 443 | 441,Ryan Brown,34.0,12397.49,0,4.93,9.0,0 444 | 442,Peggy Allison,40.0,10780.71,1,5.33,9.0,0 445 | 443,Douglas Acosta,40.0,8801.13,0,7.52,6.0,0 446 | 444,Victoria Hughes,45.0,7325.93,1,6.0,6.0,0 447 | 445,Michael Knox,36.0,7342.14,0,5.51,8.0,0 448 | 446,Laura Wright,37.0,12154.25,1,5.15,6.0,0 449 | 447,Alexandra Phillips,32.0,9472.72,1,1.0,10.0,0 450 | 448,Lori Medina,39.0,3676.68,1,3.52,9.0,0 451 | 449,Kristin Davis,50.0,6857.29,0,4.69,6.0,0 452 | 450,John Richardson,52.0,10133.36,0,4.6,7.0,0 453 | 451,Daniel Brown,51.0,4992.6,0,3.85,8.0,0 454 | 452,Eugene Rowe,50.0,12941.12,1,5.51,11.0,0 455 | 453,Cody Middleton,36.0,11040.16,0,4.52,8.0,0 456 | 454,Kevin Chapman,35.0,8058.73,0,6.88,9.0,0 457 | 455,Margaret Moore,44.0,10638.65,0,5.54,6.0,0 458 | 456,Edwin Young,49.0,10226.43,0,6.02,8.0,0 459 | 457,Teresa Bean,38.0,12020.62,0,4.41,8.0,0 460 | 458,Justin Moore,51.0,12780.22,0,6.06,7.0,0 461 | 459,Sarah Morgan,51.0,6662.59,1,5.27,9.0,0 462 | 460,Amanda Hernandez,38.0,10298.29,1,5.07,9.0,0 463 | 461,Tammy Williams,52.0,9065.28,0,3.99,5.0,0 464 | 462,Lawrence Gordon,44.0,8817.22,1,6.53,10.0,0 465 | 463,Jodi Thompson,35.0,11391.46,1,7.59,10.0,0 466 | 464,Michelle Roberts,43.0,12531.39,0,3.97,6.0,0 467 | 465,Colton Foster,43.0,9200.69,1,2.6,11.0,0 468 | 466,John Gardner,52.0,13368.21,1,4.09,9.0,0 469 | 467,Holly Flores,47.0,15878.11,1,2.05,8.0,0 470 | 468,William Branch,33.0,7720.61,1,4.97,10.0,0 471 | 469,Patricia Mckinney,34.0,9270.9,0,6.19,7.0,0 472 | 470,Brandon Compton,44.0,8274.32,0,5.7,8.0,0 473 | 471,Monica Hernandez,38.0,9347.47,0,8.47,8.0,0 474 | 472,Kathryn Petersen,40.0,12453.72,1,4.83,9.0,0 475 | 473,Shelia Phillips,39.0,8644.07,1,4.48,8.0,0 476 | 474,Sally Smith,45.0,11575.84,0,5.51,9.0,0 477 | 475,Joshua Huff,49.0,8268.74,1,5.21,8.0,0 478 | 476,Daniel Washington,54.0,12147.83,1,4.17,8.0,0 479 | 477,Joseph Anderson,48.0,8093.03,1,4.26,8.0,0 480 | 478,Kylie Reynolds,28.0,9090.43,1,5.74,10.0,0 481 | 479,Chelsea Marsh,41.0,9552.57,0,3.81,8.0,0 482 | 480,Carlos Miller,47.0,9004.44,0,3.79,8.0,0 483 | 481,Lindsey Adams,46.0,14361.38,0,4.52,8.0,0 484 | 482,Jerry Nguyen,36.0,8972.54,0,5.23,8.0,0 485 | 483,Mark Ingram,44.0,11611.28,0,5.8,11.0,0 486 | 484,Casey Hess,43.0,9399.92,1,4.98,8.0,0 487 | 485,Gary Odom,37.0,7982.38,1,4.29,8.0,0 488 | 486,John Snyder,36.0,6930.95,0,5.19,7.0,0 489 | 487,Karen Wade,38.0,11667.01,0,3.8,8.0,0 490 | 488,Kathleen Salazar,31.0,5387.75,0,6.83,9.0,0 491 | 489,Mary Frank,33.0,10709.39,1,5.22,6.0,0 492 | 490,Lisa Reid,41.0,11623.42,1,4.18,9.0,0 493 | 491,Nathan Hammond,53.0,9683.85,0,5.89,8.0,0 494 | 492,Theresa Terry,44.0,8819.13,1,4.38,10.0,0 495 | 493,John Jones,44.0,7736.13,1,4.48,8.0,0 496 | 494,Teresa Smith,45.0,7158.66,1,6.25,7.0,0 497 | 495,Heather Thompson,50.0,9248.87,0,4.56,9.0,0 498 | 496,Melanie Cain,40.0,11916.26,0,4.51,7.0,0 499 | 497,Kenneth Graham,50.0,9641.61,0,3.09,5.0,0 500 | 498,Abigail Jennings,36.0,12309.23,1,4.76,9.0,0 501 | 499,Andrea Ford,40.0,11362.95,0,4.37,11.0,0 502 | 500,Johnathan Gonzalez,56.0,10074.4,1,5.17,7.0,0 503 | 501,Katie Khan,40.0,10762.29,0,5.02,7.0,0 504 | 502,Michelle Johnson,30.0,8874.83,0,5.56,9.0,0 505 | 503,Hannah Best,51.0,5830.99,0,6.93,6.0,0 506 | 504,David Morrison,35.0,8297.87,0,5.42,8.0,0 507 | 505,Cindy Olson,33.0,5738.82,0,7.66,7.0,0 508 | 506,John Jackson,41.0,11655.82,1,7.92,9.0,0 509 | 507,Christine Livingston,47.0,7362.18,0,6.57,7.0,0 510 | 508,Mrs. Brittany Lopez,43.0,10938.11,0,3.21,8.0,0 511 | 509,Paula Willis,36.0,8514.8,1,4.01,11.0,0 512 | 510,Ryan Martin,34.0,8772.26,0,5.78,9.0,0 513 | 511,Roy Case,40.0,7656.02,1,5.62,9.0,0 514 | 512,Henry Krueger,41.0,10375.39,0,5.54,8.0,0 515 | 513,Jaime Padilla,46.0,7684.02,1,6.24,8.0,0 516 | 514,Barry Gallagher,52.0,6805.48,1,6.05,9.0,0 517 | 515,Andrew Young,30.0,6744.87,0,5.14,9.0,0 518 | 516,Amy Henderson,31.0,10058.87,1,6.54,7.0,0 519 | 517,Theresa Ford,40.0,9133.36,0,4.21,7.0,0 520 | 518,Donald Flores,46.0,11580.56,1,3.43,9.0,0 521 | 519,Sarah Schmidt,41.0,10631.84,1,3.47,9.0,0 522 | 520,Melissa Hall,32.0,10716.75,0,5.12,8.0,0 523 | 521,Annette Taylor,41.0,10919.81,0,4.63,8.0,0 524 | 522,Robert Allen,48.0,10241.32,1,7.25,7.0,0 525 | 523,Jessica Howard,46.0,9171.56,1,5.02,8.0,0 526 | 524,Michael Lam,40.0,7675.52,1,4.31,11.0,0 527 | 525,Nancy Thompson,36.0,13308.01,0,5.07,8.0,0 528 | 526,Steve Lewis,37.0,7961.21,0,2.91,9.0,0 529 | 527,Amanda Brown,32.0,12403.6,0,4.99,7.0,0 530 | 528,Danielle Morris,46.0,10814.59,0,4.91,8.0,0 531 | 529,Jessica Hernandez,31.0,8829.83,1,4.52,8.0,0 532 | 530,Nicole Richards,52.0,7170.66,1,4.53,7.0,0 533 | 531,Lauren Johnson,47.0,10332.16,1,4.89,9.0,0 534 | 532,Wendy Moore,41.0,14722.35,0,6.98,6.0,0 535 | 533,Destiny Steele,39.0,13532.85,1,5.63,9.0,0 536 | 534,Dakota Porter,41.0,7683.97,1,6.17,7.0,0 537 | 535,Sara Campbell,47.0,6398.91,1,5.0,8.0,0 538 | 536,Manuel Hill,37.0,14595.51,1,3.83,12.0,0 539 | 537,Douglas Lee,48.0,6783.99,1,3.89,8.0,0 540 | 538,Charles Doyle,35.0,8190.27,0,6.28,7.0,0 541 | 539,Rebecca Hamilton,45.0,9317.12,1,6.93,6.0,0 542 | 540,Dominique Kemp,40.0,10370.72,1,4.35,5.0,0 543 | 541,Thomas Parker,42.0,12277.9,1,5.1,8.0,0 544 | 542,Aaron West,55.0,10056.55,0,4.98,8.0,0 545 | 543,Samantha Clark,35.0,12398.62,1,5.6,9.0,0 546 | 544,Patrick Campos,40.0,10290.14,0,4.6,10.0,0 547 | 545,Kevin Hicks DDS,49.0,9957.26,0,4.76,7.0,0 548 | 546,Joseph Hall,35.0,13480.91,1,4.41,7.0,0 549 | 547,Samantha Flores,39.0,11670.73,0,6.45,8.0,0 550 | 548,John Castillo,31.0,7073.61,0,5.73,9.0,0 551 | 549,Christy Hamilton,45.0,9852.25,1,4.55,8.0,0 552 | 550,Jay Mosley,40.0,6402.3,0,4.28,7.0,0 553 | 551,Sonya Lewis,48.0,9282.99,0,4.32,6.0,0 554 | 552,Pamela Bell,37.0,8884.39,0,6.16,7.0,0 555 | 553,Evan Davis,46.0,13296.89,1,4.81,6.0,0 556 | 554,Jonathan Jones,35.0,7361.92,1,4.97,9.0,0 557 | 555,Richard Rojas,54.0,8092.55,1,4.55,10.0,0 558 | 556,Jerome Pitts,39.0,9528.99,0,5.97,8.0,0 559 | 557,Yolanda Jackson,53.0,8122.34,0,3.51,9.0,0 560 | 558,Jessica Wells,41.0,14738.09,1,6.5,8.0,0 561 | 559,Mark Choi,34.0,11687.29,0,4.54,7.0,0 562 | 560,Megan Wilson,43.0,7948.18,0,3.88,7.0,0 563 | 561,Kathleen Reid,42.0,7915.44,1,6.17,8.0,0 564 | 562,Walter Bates,40.0,10180.59,1,6.5,10.0,0 565 | 563,Rita Young,44.0,8748.36,1,6.32,10.0,0 566 | 564,David Sanders,41.0,8021.05,1,3.16,9.0,0 567 | 565,Thomas Richardson,44.0,10445.76,0,7.02,8.0,0 568 | 566,Victoria Shaffer,34.0,9919.38,0,4.43,8.0,0 569 | 567,Dwayne Ryan,39.0,10741.9,0,5.48,8.0,0 570 | 568,David Moore,40.0,7380.48,1,6.45,7.0,0 571 | 569,Matthew Huffman,45.0,9649.26,1,3.77,9.0,0 572 | 570,Mary Kent,42.0,9349.99,1,4.38,7.0,0 573 | 571,Molly Young,46.0,12849.1,0,4.97,8.0,0 574 | 572,Eric Castro,38.0,10770.82,0,4.99,10.0,0 575 | 573,Tammy Johnson,35.0,8828.59,0,6.77,9.0,0 576 | 574,Mallory Powell,48.0,9921.89,0,3.73,9.0,0 577 | 575,Michael Nichols,45.0,6977.56,0,6.94,11.0,0 578 | 576,Jason Stevenson,44.0,8580.85,0,5.52,10.0,0 579 | 577,Andrea Warner,46.0,10469.5,0,6.54,10.0,0 580 | 578,Susan Casey,55.0,8907.17,1,7.6,11.0,0 581 | 579,Billy Garner,46.0,10050.61,0,4.99,7.0,0 582 | 580,Matthew Dixon,38.0,10522.6,1,5.46,10.0,0 583 | 581,Jessica Sharp,34.0,9265.59,0,5.77,8.0,0 584 | 582,Elizabeth Drake,40.0,10930.16,1,6.63,7.0,0 585 | 583,Tina Schmidt,45.0,10668.91,0,7.21,8.0,0 586 | 584,Elizabeth Kennedy,47.0,11335.97,0,6.84,6.0,0 587 | 585,Brandy Martinez,41.0,12247.91,0,5.08,9.0,0 588 | 586,Trevor Henderson,47.0,9303.43,0,5.5,8.0,0 589 | 587,Brandi Bryan,38.0,9826.29,0,4.93,8.0,0 590 | 588,Curtis Robinson,37.0,10565.59,0,4.76,10.0,0 591 | 589,Daniel Barton,44.0,9855.18,0,6.94,7.0,0 592 | 590,Carolyn Cabrera,51.0,7810.06,0,5.99,9.0,0 593 | 591,Mary Marshall,39.0,11144.51,0,4.25,9.0,0 594 | 592,Thomas Campbell,36.0,8931.09,1,7.55,7.0,0 595 | 593,Christopher Clark,50.0,8929.88,0,5.63,7.0,0 596 | 594,Rose White,35.0,9435.2,1,6.23,7.0,0 597 | 595,Derek Martinez,40.0,11553.65,1,4.43,6.0,0 598 | 596,Wendy Key,60.0,9621.04,1,7.65,8.0,0 599 | 597,Lisa Fisher,43.0,11401.42,0,3.63,10.0,0 600 | 598,Kyle Hinton,43.0,10491.4,1,4.23,8.0,0 601 | 599,Travis Howell,44.0,10585.86,0,5.54,8.0,0 602 | 600,Vanessa Donaldson,52.0,10697.72,0,8.35,8.0,0 603 | 601,Kathy Robertson,37.0,11430.75,0,5.99,10.0,0 604 | 602,Katie Nichols,48.0,8465.53,1,4.98,9.0,0 605 | 603,Shannon Miller,35.0,7759.15,1,6.06,10.0,0 606 | 604,Stacy Marshall,42.0,13081.64,0,4.66,9.0,0 607 | 605,Heather Little,33.0,4711.89,0,4.97,7.0,0 608 | 606,Jose Rowland,36.0,12252.57,0,5.13,8.0,0 609 | 607,Brittany Martinez,39.0,13029.61,1,4.83,8.0,0 610 | 608,Charles Ellison,43.0,10746.69,0,8.62,9.0,0 611 | 609,Dr. Kathleen Wiley,45.0,8665.79,0,5.09,9.0,0 612 | 610,Justin Roman PhD,34.0,5447.16,1,4.13,9.0,0 613 | 611,Daniel Todd,37.0,9772.95,1,3.81,8.0,0 614 | 612,Eugene Robertson,41.0,7464.08,0,3.74,8.0,0 615 | 613,Frank Chase,39.0,6168.66,1,4.71,8.0,0 616 | 614,Nancy Martin,34.0,12567.53,0,3.36,11.0,0 617 | 615,Duane Mcdonald,55.0,8280.03,0,6.33,5.0,0 618 | 616,Heather Daniel,36.0,11274.98,0,4.12,10.0,0 619 | 617,Michelle Berry,42.0,9635.87,1,2.43,9.0,0 620 | 618,Claire Rivera,48.0,13743.12,1,4.83,7.0,0 621 | 619,Benjamin Huff,45.0,8871.53,0,3.76,8.0,0 622 | 620,Bradley Chambers,37.0,8818.03,1,2.89,9.0,0 623 | 621,Terry Kelley,37.0,9788.78,0,5.24,7.0,0 624 | 622,Kenneth Fuller,34.0,6131.92,0,4.17,9.0,0 625 | 623,Stephen Reed,40.0,12043.27,1,5.04,7.0,0 626 | 624,Angela Holloway,40.0,12919.92,0,4.23,11.0,0 627 | 625,David Carter,38.0,10367.14,0,5.92,9.0,0 628 | 626,Nancy Bartlett,44.0,9063.16,1,4.76,8.0,0 629 | 627,Jason Hebert,40.0,10606.97,1,4.11,10.0,0 630 | 628,Gerald Mullins,42.0,8558.52,0,5.36,7.0,0 631 | 629,James Smith,43.0,11375.25,1,5.09,9.0,0 632 | 630,Samantha Munoz,48.0,8514.24,0,4.61,9.0,0 633 | 631,Megan Smith,39.0,12019.93,0,4.87,10.0,0 634 | 632,Gregory Chandler,38.0,9419.66,1,5.24,9.0,0 635 | 633,Crystal Smith,33.0,10309.71,1,2.96,7.0,0 636 | 634,Juan Simmons PhD,47.0,10313.06,0,5.44,8.0,0 637 | 635,Monica Downs,34.0,13460.92,1,3.67,7.0,0 638 | 636,Paul Wilson,54.0,10216.59,0,2.77,7.0,0 639 | 637,Sandra Hogan,37.0,12766.24,0,3.72,9.0,0 640 | 638,Anna Wood,38.0,11360.99,0,4.5,7.0,0 641 | 639,Patrick Edwards,47.0,9166.22,0,3.51,9.0,0 642 | 640,Matthew Clayton,41.0,8996.04,1,6.19,9.0,0 643 | 641,Mark Marquez,55.0,9743.57,0,5.89,8.0,0 644 | 642,Alexis Allen,43.0,7686.13,1,7.17,8.0,0 645 | 643,Melissa Coleman,29.0,13255.05,1,4.89,8.0,0 646 | 644,Terry Curtis MD,48.0,8403.02,0,3.61,11.0,0 647 | 645,Jessica Campbell,43.0,7277.27,1,5.98,8.0,0 648 | 646,Brandon Wilson,32.0,8575.71,0,4.26,9.0,0 649 | 647,Meghan Jackson,46.0,9844.79,0,3.57,11.0,0 650 | 648,Jeffrey Simpson,42.0,7529.23,1,5.86,7.0,0 651 | 649,Cheryl Hernandez,46.0,4111.4,0,3.93,8.0,0 652 | 650,Amy Riddle,45.0,8389.84,1,6.81,5.0,0 653 | 651,Linda Moore,40.0,7864.63,0,4.56,9.0,0 654 | 652,Carol Bush,39.0,8677.62,0,5.2,7.0,0 655 | 653,Gail Lopez,25.0,9672.03,0,5.49,8.0,0 656 | 654,Joseph Bauer,33.0,11370.28,1,4.4,6.0,0 657 | 655,Kayla Foley,44.0,13915.9,0,4.61,9.0,0 658 | 656,Teresa Reyes,35.0,10999.05,0,4.76,10.0,0 659 | 657,Shannon Potter,39.0,7636.98,0,5.56,9.0,0 660 | 658,Barbara Singleton,38.0,9461.83,0,4.9,10.0,0 661 | 659,Kayla Reeves,38.0,100.0,0,5.27,5.0,0 662 | 660,Tami Smith,53.0,9655.25,0,4.44,10.0,0 663 | 661,Brandon Hunter,45.0,15188.65,0,6.17,8.0,0 664 | 662,Lisa Rodriguez,49.0,14124.0,1,3.02,10.0,0 665 | 663,Eric Martin,44.0,14155.97,1,6.99,8.0,0 666 | 664,Sharon Hull,37.0,11294.26,0,4.95,10.0,0 667 | 665,Allison Clark DDS,43.0,14241.75,0,3.73,12.0,0 668 | 666,Nicholas Williams,43.0,11334.3,0,3.47,9.0,0 669 | 667,Wanda Hess,34.0,7818.13,0,6.11,8.0,0 670 | 668,Fernando Ramsey,47.0,11520.18,1,5.07,9.0,0 671 | 669,Sylvia Crawford,47.0,7996.78,1,5.45,8.0,0 672 | 670,Trevor Burns,27.0,8628.8,1,5.3,7.0,0 673 | 671,Kristen Terry,39.0,10292.19,0,4.99,8.0,0 674 | 672,Mr. Joseph Garcia,32.0,11540.86,0,3.0,7.0,0 675 | 673,Lauren Nelson,40.0,7490.92,0,4.75,5.0,0 676 | 674,Frank Coleman,39.0,4316.73,1,4.79,9.0,0 677 | 675,Faith Sanchez,41.0,11738.88,0,7.27,9.0,0 678 | 676,Catherine Johnston,38.0,15509.97,0,4.65,8.0,0 679 | 677,Anthony Green,52.0,12010.74,0,5.09,8.0,0 680 | 678,Justin Brady,43.0,5907.07,0,5.89,8.0,0 681 | 679,Hector Anderson,39.0,10510.95,0,2.87,9.0,0 682 | 680,Jessica Hudson,43.0,8914.46,0,6.49,7.0,0 683 | 681,Brittney Nichols,38.0,5353.97,0,6.25,9.0,0 684 | 682,Mary Davis,36.0,12495.15,0,4.86,9.0,0 685 | 683,Paula Rivera,45.0,13118.56,0,4.89,7.0,0 686 | 684,Lisa Munoz,39.0,5846.65,1,6.65,9.0,0 687 | 685,Kimberly Carrillo,37.0,7239.49,1,5.01,9.0,0 688 | 686,Charles Thompson,36.0,14003.88,1,3.54,6.0,0 689 | 687,Jasmin Sullivan,43.0,9891.3,0,5.75,11.0,0 690 | 688,Christopher Martin,39.0,9655.42,1,5.5,8.0,0 691 | 689,Richard Gonzalez,49.0,7904.67,0,5.58,6.0,0 692 | 690,Christopher Price,43.0,10598.35,1,6.72,8.0,0 693 | 691,Jeremy Garcia,31.0,10182.6,1,3.77,8.0,0 694 | 692,Kevin Hebert,41.0,11316.69,0,6.23,10.0,0 695 | 693,Jessica Morris,43.0,6065.64,1,4.86,7.0,0 696 | 694,Wendy Wells,41.0,8907.76,0,6.99,7.0,0 697 | 695,Amanda Barnett,45.0,9773.22,1,3.79,10.0,0 698 | 696,Willie George II,32.0,9036.27,0,7.14,11.0,0 699 | 697,Troy Burke,50.0,8193.77,0,5.13,8.0,0 700 | 698,Kyle Mcguire,30.0,10183.98,1,5.14,9.0,0 701 | 699,Adam Harris,44.0,9815.03,1,4.9,9.0,0 702 | 700,Roy Marshall,43.0,6098.15,0,3.74,8.0,0 703 | 701,Lisa Lee,45.0,13100.75,1,7.79,10.0,0 704 | 702,Marc Price,40.0,10638.66,0,4.35,10.0,0 705 | 703,James Griffin,52.0,9519.64,0,5.61,8.0,0 706 | 704,Leslie Lopez,50.0,10358.08,0,5.41,8.0,0 707 | 705,Richard Jackson,46.0,7638.13,1,4.91,9.0,0 708 | 706,Kevin Gordon MD,42.0,10807.46,1,6.74,7.0,0 709 | 707,Dean Spears,37.0,11945.5,1,5.37,8.0,0 710 | 708,Kara Barnett,48.0,13597.5,0,6.45,8.0,0 711 | 709,Kelly White,47.0,7364.12,1,3.65,9.0,0 712 | 710,Laura Turner,42.0,8934.99,1,6.21,8.0,0 713 | 711,Hannah Mack,34.0,13672.54,0,6.05,6.0,0 714 | 712,Christina Farmer,44.0,9446.84,0,4.59,10.0,0 715 | 713,Patricia Deleon,36.0,11082.13,0,4.84,9.0,0 716 | 714,Peggy Rodriguez,38.0,10005.91,1,5.44,9.0,0 717 | 715,Steven Price,38.0,11227.39,1,5.71,9.0,0 718 | 716,Linda Mason,34.0,13574.25,0,5.2,9.0,0 719 | 717,Edward Rhodes,46.0,7876.84,1,6.41,10.0,0 720 | 718,Martin Williams MD,39.0,10413.93,0,3.75,11.0,0 721 | 719,Molly Perez,36.0,11079.61,1,4.12,9.0,0 722 | 720,David Hernandez,36.0,12192.94,1,6.46,9.0,0 723 | 721,Brendan Garcia,47.0,9101.71,0,4.11,6.0,0 724 | 722,Curtis Phillips,38.0,12978.81,0,7.94,7.0,0 725 | 723,Frank Mann MD,43.0,8007.18,1,5.45,8.0,0 726 | 724,Wayne Clark,43.0,6471.68,0,4.93,9.0,0 727 | 725,Carol Johnston,33.0,14160.05,1,4.61,7.0,0 728 | 726,Cameron Brown,39.0,11490.75,0,4.93,8.0,0 729 | 727,Jacob Gutierrez,40.0,11338.94,0,6.23,7.0,0 730 | 728,Caitlin Johnston,28.0,11245.38,0,6.72,8.0,0 731 | 729,Monica Graham,40.0,13987.59,1,5.58,7.0,0 732 | 730,Andrew Gates,48.0,12810.16,0,2.21,10.0,0 733 | 731,Alyssa Pitts,45.0,10976.03,0,4.5,10.0,0 734 | 732,Robert Rowe,48.0,7737.57,1,4.19,9.0,0 735 | 733,Keith Perez,45.0,7748.34,0,4.2,8.0,0 736 | 734,Benjamin Davenport,55.0,8270.52,1,5.15,8.0,0 737 | 735,Joshua Turner,32.0,11715.72,0,4.73,9.0,0 738 | 736,Mathew Rivera,48.0,9219.4,1,5.91,6.0,0 739 | 737,Richard Underwood,45.0,5347.74,1,5.62,10.0,0 740 | 738,Cathy Carney,42.0,9261.41,0,3.92,9.0,0 741 | 739,John Harris,41.0,11789.33,0,4.61,9.0,0 742 | 740,John Walter,44.0,14023.22,1,3.49,10.0,0 743 | 741,Michael Lopez,36.0,9993.5,0,6.6,6.0,0 744 | 742,Erik Martinez,41.0,6535.91,0,4.83,11.0,0 745 | 743,Sally Velazquez,44.0,12835.19,1,5.44,7.0,0 746 | 744,Thomas Spears,42.0,11654.34,0,5.06,10.0,0 747 | 745,Robin Sanchez,45.0,12200.96,1,4.7,6.0,0 748 | 746,Janet Hayden,34.0,12813.91,0,2.41,7.0,0 749 | 747,Francisco Moore,36.0,10345.19,1,4.84,10.0,0 750 | 748,Tony Boone,49.0,8232.11,0,6.84,8.0,0 751 | 749,Phillip Spears,52.0,14838.84,0,5.12,8.0,0 752 | 750,Brandon Ballard,43.0,9541.45,0,6.05,8.0,0 753 | 751,Christopher Johnson,46.0,7424.11,0,4.83,9.0,0 754 | 752,Brian Torres,37.0,7062.59,1,4.56,9.0,0 755 | 753,Cheryl Hayes,51.0,10776.82,0,5.1,5.0,0 756 | 754,Steven Mendoza,50.0,13247.31,0,3.48,6.0,0 757 | 755,Randy Hill,40.0,8610.43,1,5.08,7.0,0 758 | 756,Beth Fitzgerald,48.0,8863.36,0,6.35,7.0,0 759 | 757,Angela Ross,39.0,13574.53,1,5.69,10.0,0 760 | 758,Teresa Higgins,41.0,14216.37,1,1.81,8.0,0 761 | 759,Andrew Hester,48.0,11555.21,1,4.45,8.0,0 762 | 760,Laura Williams,55.0,5720.98,1,6.63,8.0,0 763 | 761,Vanessa Hodge,38.0,8370.15,0,8.6,5.0,0 764 | 762,Amy Stanley,43.0,9060.28,1,4.95,6.0,0 765 | 763,Brenda Ruiz,44.0,7193.84,0,6.22,7.0,0 766 | 764,William Krause,42.0,11225.96,0,5.89,7.0,0 767 | 765,David Bowers,49.0,12893.19,0,5.13,7.0,0 768 | 766,David Grant,45.0,13896.99,0,4.26,8.0,0 769 | 767,Dominique Schneider,43.0,12378.57,1,4.04,8.0,0 770 | 768,Martin Avila,42.0,11768.71,1,6.24,7.0,0 771 | 769,Dean Beck,32.0,8011.38,0,5.35,10.0,0 772 | 770,Kevin Powell,43.0,16955.76,0,7.04,8.0,0 773 | 771,John Barber,43.0,10530.33,1,4.14,7.0,0 774 | 772,Sylvia Sherman,42.0,11783.81,1,5.27,7.0,0 775 | 773,Susan Lucero,48.0,8824.84,1,5.93,7.0,0 776 | 774,George Parker,46.0,9737.34,1,5.17,8.0,0 777 | 775,Zachary Sanchez,49.0,8131.64,1,7.1,7.0,0 778 | 776,Tamara Williams,31.0,12264.68,1,5.88,8.0,0 779 | 777,Kathleen Marquez,35.0,3825.7,0,4.28,8.0,0 780 | 778,Carrie Williams,44.0,11597.38,0,3.45,7.0,0 781 | 779,Joel Johnson,55.0,5977.46,1,5.02,7.0,0 782 | 780,Joshua Cooper,41.0,9608.45,0,5.81,7.0,0 783 | 781,Amber Evans,37.0,10348.37,1,7.65,6.0,0 784 | 782,John Hawkins,41.0,13135.26,1,5.27,9.0,0 785 | 783,Scott Ingram,34.0,12760.01,0,3.87,8.0,0 786 | 784,Steven Blankenship,39.0,9848.4,1,6.73,10.0,0 787 | 785,Bailey Carroll,37.0,11517.19,1,8.34,11.0,0 788 | 786,Barbara Watkins,37.0,8316.89,0,3.6,8.0,0 789 | 787,James Wallace,40.0,7762.73,1,4.66,10.0,0 790 | 788,Joshua Brown DVM,49.0,13510.96,1,6.39,9.0,0 791 | 789,Whitney Kennedy,42.0,10442.37,0,5.58,5.0,0 792 | 790,David Allen,35.0,10550.87,1,5.72,9.0,0 793 | 791,Joshua Brown,31.0,5304.6,0,5.29,9.0,0 794 | 792,Cristian Sanchez,44.0,10157.21,0,6.14,7.0,0 795 | 793,Stephanie Martinez,42.0,12975.35,1,4.47,7.0,0 796 | 794,Christine Jenkins,38.0,6574.25,0,6.18,9.0,0 797 | 795,Michelle Davis,33.0,12638.51,1,5.01,8.0,0 798 | 796,Adam Porter,48.0,10746.37,1,4.22,8.0,0 799 | 797,David Murray,46.0,12873.63,1,5.73,7.0,0 800 | 798,Cynthia Wood,49.0,12681.35,0,3.68,5.0,0 801 | 799,Kenneth Johns,46.0,7730.53,1,5.3,8.0,0 802 | 800,Jason Dickson,46.0,8603.6,0,6.44,9.0,0 803 | 801,Johnny Jones,42.0,8218.63,0,5.9,9.0,0 804 | 802,Rodney Miller,34.0,9401.99,1,8.25,9.0,0 805 | 803,Tracy Jones,39.0,6127.84,0,4.22,9.0,0 806 | 804,Greg Swanson,44.0,11794.91,0,6.32,6.0,0 807 | 805,Bradley Bennett,41.0,8143.38,1,2.64,5.0,0 808 | 806,Michael Anderson,40.0,11873.76,1,6.5,8.0,0 809 | 807,Katherine Sandoval,22.0,11254.38,1,4.96,8.0,0 810 | 808,James Hensley,46.0,8951.42,0,4.13,8.0,0 811 | 809,Christopher Beasley,43.0,8662.18,1,7.31,8.0,0 812 | 810,Kayla Lopez,41.0,8427.12,0,4.37,6.0,0 813 | 811,Jonathan Ali,55.0,11555.42,0,4.86,10.0,0 814 | 812,Kenneth Wilkerson,42.0,11670.32,0,5.51,7.0,0 815 | 813,Alex Banks,36.0,8918.52,0,3.62,8.0,0 816 | 814,Brendan Higgins,34.0,13976.64,0,5.16,8.0,0 817 | 815,Monique Neal,44.0,6498.85,0,6.34,9.0,0 818 | 816,Kristen Bishop,39.0,9303.36,0,4.19,10.0,0 819 | 817,Amber Martin,40.0,8083.76,0,4.76,7.0,0 820 | 818,Eric Terry,42.0,16371.42,1,3.84,10.0,0 821 | 819,Troy Ochoa,32.0,5756.12,0,5.9,8.0,0 822 | 820,Michael Colon,41.0,9574.64,1,3.72,7.0,0 823 | 821,Charles Mcgrath,42.0,6623.97,0,5.4,8.0,0 824 | 822,Zachary Johnson,28.0,8670.98,0,3.99,6.0,0 825 | 823,Jennifer Bradley,48.0,10399.19,1,5.07,11.0,0 826 | 824,Kenneth Sanchez,40.0,12542.76,1,5.03,8.0,0 827 | 825,Colleen Morgan,46.0,11832.86,1,6.01,8.0,0 828 | 826,Jay Hunter,33.0,12249.96,0,2.96,8.0,0 829 | 827,Joshua Lang,49.0,11695.04,1,5.64,9.0,0 830 | 828,Krista Ashley,41.0,9000.05,0,5.59,6.0,0 831 | 829,James Stevens,44.0,12400.33,1,5.18,3.0,0 832 | 830,Megan Edwards,30.0,13473.35,0,3.84,10.0,0 833 | 831,Vanessa Romero,44.0,12227.39,0,6.46,7.0,0 834 | 832,Austin Branch,38.0,10788.67,0,4.98,7.0,0 835 | 833,Taylor Brown,37.0,10076.71,0,6.5,7.0,0 836 | 834,William Pearson,28.0,11204.23,0,3.67,11.0,0 837 | 835,Heidi Butler,39.0,14425.74,0,5.91,6.0,0 838 | 836,John Williams,46.0,9988.68,1,5.44,8.0,0 839 | 837,Gina Johnson,43.0,8261.89,0,7.36,9.0,0 840 | 838,Brittany Walker,34.0,9779.12,0,5.89,9.0,0 841 | 839,Lauren Campos,51.0,10328.42,1,5.12,7.0,0 842 | 840,Jennifer Garcia,38.0,12913.55,1,4.73,7.0,0 843 | 841,Mary Allen,37.0,7189.31,0,6.87,10.0,0 844 | 842,Ethan Cordova,39.0,18026.01,1,3.82,9.0,0 845 | 843,Anthony Molina,26.0,8939.61,0,4.54,7.0,0 846 | 844,David Compton,50.0,11294.45,1,2.17,10.0,0 847 | 845,Garrett Walker,42.0,8271.02,0,4.24,9.0,0 848 | 846,Benjamin Richard,44.0,5002.58,0,4.57,11.0,0 849 | 847,Timothy Brown,45.0,11187.93,1,4.95,9.0,0 850 | 848,Beth Barnes,51.0,9764.39,1,6.03,8.0,0 851 | 849,Patricia Combs,44.0,8917.57,0,4.28,6.0,0 852 | 850,Brian Hill,37.0,9499.3,1,6.81,8.0,0 853 | 851,Nathaniel Sanchez,41.0,8502.52,0,6.0,10.0,0 854 | 852,Tammy Pope,45.0,9576.07,1,7.01,8.0,0 855 | 853,Denise Watkins,47.0,9451.03,0,5.11,10.0,0 856 | 854,Mrs. Elizabeth Salas,48.0,9722.23,1,5.98,6.0,0 857 | 855,Jessica Morales,49.0,11227.48,0,5.1,9.0,0 858 | 856,Mark Murphy,47.0,10718.97,0,5.74,7.0,0 859 | 857,Deborah Morgan,40.0,11799.72,0,3.0,8.0,0 860 | 858,Kiara Vasquez,38.0,13074.81,1,4.67,7.0,0 861 | 859,Zachary Howard,49.0,9000.36,0,4.13,11.0,0 862 | 860,Vanessa Myers,39.0,13731.45,1,8.15,10.0,0 863 | 861,Beverly Hall,33.0,8556.73,0,4.21,9.0,0 864 | 862,Kristin Williams,37.0,12410.67,0,6.12,6.0,0 865 | 863,Mrs. Sherri Zhang,48.0,11316.41,1,4.74,10.0,0 866 | 864,Charles Schultz,35.0,13035.91,1,5.51,6.0,0 867 | 865,Manuel Williams,36.0,5695.21,0,4.1,7.0,0 868 | 866,Kevin Hardy,43.0,6411.25,0,2.82,7.0,0 869 | 867,Ann Johnson,42.0,9091.99,0,5.85,6.0,0 870 | 868,David Anderson,39.0,11680.91,1,6.35,7.0,0 871 | 869,Nicholas Porter,44.0,8841.3,1,6.08,7.0,0 872 | 870,Jose Gutierrez,51.0,7985.76,1,3.48,8.0,0 873 | 871,Sarah Burns,35.0,11814.59,0,5.89,6.0,0 874 | 872,Dana Bailey,52.0,7077.34,1,5.6,8.0,0 875 | 873,Diana Jackson,51.0,9879.37,0,3.55,10.0,0 876 | 874,Scott Love,28.0,11128.95,1,5.12,8.0,0 877 | 875,Doris Zimmerman,40.0,11575.55,1,5.22,5.0,0 878 | 876,Jeffrey Trevino,37.0,13268.55,0,3.92,11.0,0 879 | 877,Anthony Vega,44.0,9351.88,1,4.32,6.0,0 880 | 878,James Owen,43.0,9735.41,0,6.12,8.0,0 881 | 879,Aaron Meyer,45.0,9598.03,0,5.0,7.0,0 882 | 880,Holly Hill,43.0,5805.53,0,5.44,5.0,0 883 | 881,Andrew Leonard,41.0,14099.03,1,4.56,7.0,0 884 | 882,Jessica Leon,49.0,8523.04,1,4.15,5.0,0 885 | 883,Amy Garcia,42.0,6406.38,0,3.0,9.0,0 886 | 884,John Nixon,48.0,5622.5,0,6.05,7.0,0 887 | 885,Deanna Henry,47.0,6670.37,0,2.55,9.0,0 888 | 886,Jeremy Singleton,46.0,13547.39,0,2.67,8.0,0 889 | 887,Kara Anderson,47.0,9182.81,1,6.45,11.0,0 890 | 888,Kelly Braun,42.0,9741.19,1,3.85,9.0,0 891 | 889,Amanda Wade,39.0,8880.17,0,4.0,8.0,0 892 | 890,Jason West,45.0,13122.89,0,5.84,6.0,0 893 | 891,Adam Moore,41.0,12659.88,0,4.55,4.0,0 894 | 892,Brandon Ortiz,37.0,8286.87,1,6.25,8.0,0 895 | 893,Cindy Marshall,37.0,9229.96,0,3.65,8.0,0 896 | 894,Matthew Barnes,45.0,4863.73,1,5.17,8.0,0 897 | 895,Paul Miller,42.0,12800.82,1,3.62,8.0,0 898 | 896,Natalie Hodges,52.0,9893.92,0,6.91,7.0,0 899 | 897,Ana Smith,45.0,12056.18,0,5.46,4.0,0 900 | 898,Justin Leonard,51.0,6517.93,1,5.47,10.0,0 901 | 899,Joseph Williams,39.0,9315.6,1,5.02,10.0,0 902 | -------------------------------------------------------------------------------- /büyük veri/diabetes.csv: -------------------------------------------------------------------------------- 1 | Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome 2 | 6,148,72,35,0,33.6,0.627,50,1 3 | 1,85,66,29,0,26.6,0.351,31,0 4 | 8,183,64,0,0,23.3,0.672,32,1 5 | 1,89,66,23,94,28.1,0.167,21,0 6 | 0,137,40,35,168,43.1,2.288,33,1 7 | 5,116,74,0,0,25.6,0.201,30,0 8 | 3,78,50,32,88,31,0.248,26,1 9 | 10,115,0,0,0,35.3,0.134,29,0 10 | 2,197,70,45,543,30.5,0.158,53,1 11 | 8,125,96,0,0,0,0.232,54,1 12 | 4,110,92,0,0,37.6,0.191,30,0 13 | 10,168,74,0,0,38,0.537,34,1 14 | 10,139,80,0,0,27.1,1.441,57,0 15 | 1,189,60,23,846,30.1,0.398,59,1 16 | 5,166,72,19,175,25.8,0.587,51,1 17 | 7,100,0,0,0,30,0.484,32,1 18 | 0,118,84,47,230,45.8,0.551,31,1 19 | 7,107,74,0,0,29.6,0.254,31,1 20 | 1,103,30,38,83,43.3,0.183,33,0 21 | 1,115,70,30,96,34.6,0.529,32,1 22 | 3,126,88,41,235,39.3,0.704,27,0 23 | 8,99,84,0,0,35.4,0.388,50,0 24 | 7,196,90,0,0,39.8,0.451,41,1 25 | 9,119,80,35,0,29,0.263,29,1 26 | 11,143,94,33,146,36.6,0.254,51,1 27 | 10,125,70,26,115,31.1,0.205,41,1 28 | 7,147,76,0,0,39.4,0.257,43,1 29 | 1,97,66,15,140,23.2,0.487,22,0 30 | 13,145,82,19,110,22.2,0.245,57,0 31 | 5,117,92,0,0,34.1,0.337,38,0 32 | 5,109,75,26,0,36,0.546,60,0 33 | 3,158,76,36,245,31.6,0.851,28,1 34 | 3,88,58,11,54,24.8,0.267,22,0 35 | 6,92,92,0,0,19.9,0.188,28,0 36 | 10,122,78,31,0,27.6,0.512,45,0 37 | 4,103,60,33,192,24,0.966,33,0 38 | 11,138,76,0,0,33.2,0.42,35,0 39 | 9,102,76,37,0,32.9,0.665,46,1 40 | 2,90,68,42,0,38.2,0.503,27,1 41 | 4,111,72,47,207,37.1,1.39,56,1 42 | 3,180,64,25,70,34,0.271,26,0 43 | 7,133,84,0,0,40.2,0.696,37,0 44 | 7,106,92,18,0,22.7,0.235,48,0 45 | 9,171,110,24,240,45.4,0.721,54,1 46 | 7,159,64,0,0,27.4,0.294,40,0 47 | 0,180,66,39,0,42,1.893,25,1 48 | 1,146,56,0,0,29.7,0.564,29,0 49 | 2,71,70,27,0,28,0.586,22,0 50 | 7,103,66,32,0,39.1,0.344,31,1 51 | 7,105,0,0,0,0,0.305,24,0 52 | 1,103,80,11,82,19.4,0.491,22,0 53 | 1,101,50,15,36,24.2,0.526,26,0 54 | 5,88,66,21,23,24.4,0.342,30,0 55 | 8,176,90,34,300,33.7,0.467,58,1 56 | 7,150,66,42,342,34.7,0.718,42,0 57 | 1,73,50,10,0,23,0.248,21,0 58 | 7,187,68,39,304,37.7,0.254,41,1 59 | 0,100,88,60,110,46.8,0.962,31,0 60 | 0,146,82,0,0,40.5,1.781,44,0 61 | 0,105,64,41,142,41.5,0.173,22,0 62 | 2,84,0,0,0,0,0.304,21,0 63 | 8,133,72,0,0,32.9,0.27,39,1 64 | 5,44,62,0,0,25,0.587,36,0 65 | 2,141,58,34,128,25.4,0.699,24,0 66 | 7,114,66,0,0,32.8,0.258,42,1 67 | 5,99,74,27,0,29,0.203,32,0 68 | 0,109,88,30,0,32.5,0.855,38,1 69 | 2,109,92,0,0,42.7,0.845,54,0 70 | 1,95,66,13,38,19.6,0.334,25,0 71 | 4,146,85,27,100,28.9,0.189,27,0 72 | 2,100,66,20,90,32.9,0.867,28,1 73 | 5,139,64,35,140,28.6,0.411,26,0 74 | 13,126,90,0,0,43.4,0.583,42,1 75 | 4,129,86,20,270,35.1,0.231,23,0 76 | 1,79,75,30,0,32,0.396,22,0 77 | 1,0,48,20,0,24.7,0.14,22,0 78 | 7,62,78,0,0,32.6,0.391,41,0 79 | 5,95,72,33,0,37.7,0.37,27,0 80 | 0,131,0,0,0,43.2,0.27,26,1 81 | 2,112,66,22,0,25,0.307,24,0 82 | 3,113,44,13,0,22.4,0.14,22,0 83 | 2,74,0,0,0,0,0.102,22,0 84 | 7,83,78,26,71,29.3,0.767,36,0 85 | 0,101,65,28,0,24.6,0.237,22,0 86 | 5,137,108,0,0,48.8,0.227,37,1 87 | 2,110,74,29,125,32.4,0.698,27,0 88 | 13,106,72,54,0,36.6,0.178,45,0 89 | 2,100,68,25,71,38.5,0.324,26,0 90 | 15,136,70,32,110,37.1,0.153,43,1 91 | 1,107,68,19,0,26.5,0.165,24,0 92 | 1,80,55,0,0,19.1,0.258,21,0 93 | 4,123,80,15,176,32,0.443,34,0 94 | 7,81,78,40,48,46.7,0.261,42,0 95 | 4,134,72,0,0,23.8,0.277,60,1 96 | 2,142,82,18,64,24.7,0.761,21,0 97 | 6,144,72,27,228,33.9,0.255,40,0 98 | 2,92,62,28,0,31.6,0.13,24,0 99 | 1,71,48,18,76,20.4,0.323,22,0 100 | 6,93,50,30,64,28.7,0.356,23,0 101 | 1,122,90,51,220,49.7,0.325,31,1 102 | 1,163,72,0,0,39,1.222,33,1 103 | 1,151,60,0,0,26.1,0.179,22,0 104 | 0,125,96,0,0,22.5,0.262,21,0 105 | 1,81,72,18,40,26.6,0.283,24,0 106 | 2,85,65,0,0,39.6,0.93,27,0 107 | 1,126,56,29,152,28.7,0.801,21,0 108 | 1,96,122,0,0,22.4,0.207,27,0 109 | 4,144,58,28,140,29.5,0.287,37,0 110 | 3,83,58,31,18,34.3,0.336,25,0 111 | 0,95,85,25,36,37.4,0.247,24,1 112 | 3,171,72,33,135,33.3,0.199,24,1 113 | 8,155,62,26,495,34,0.543,46,1 114 | 1,89,76,34,37,31.2,0.192,23,0 115 | 4,76,62,0,0,34,0.391,25,0 116 | 7,160,54,32,175,30.5,0.588,39,1 117 | 4,146,92,0,0,31.2,0.539,61,1 118 | 5,124,74,0,0,34,0.22,38,1 119 | 5,78,48,0,0,33.7,0.654,25,0 120 | 4,97,60,23,0,28.2,0.443,22,0 121 | 4,99,76,15,51,23.2,0.223,21,0 122 | 0,162,76,56,100,53.2,0.759,25,1 123 | 6,111,64,39,0,34.2,0.26,24,0 124 | 2,107,74,30,100,33.6,0.404,23,0 125 | 5,132,80,0,0,26.8,0.186,69,0 126 | 0,113,76,0,0,33.3,0.278,23,1 127 | 1,88,30,42,99,55,0.496,26,1 128 | 3,120,70,30,135,42.9,0.452,30,0 129 | 1,118,58,36,94,33.3,0.261,23,0 130 | 1,117,88,24,145,34.5,0.403,40,1 131 | 0,105,84,0,0,27.9,0.741,62,1 132 | 4,173,70,14,168,29.7,0.361,33,1 133 | 9,122,56,0,0,33.3,1.114,33,1 134 | 3,170,64,37,225,34.5,0.356,30,1 135 | 8,84,74,31,0,38.3,0.457,39,0 136 | 2,96,68,13,49,21.1,0.647,26,0 137 | 2,125,60,20,140,33.8,0.088,31,0 138 | 0,100,70,26,50,30.8,0.597,21,0 139 | 0,93,60,25,92,28.7,0.532,22,0 140 | 0,129,80,0,0,31.2,0.703,29,0 141 | 5,105,72,29,325,36.9,0.159,28,0 142 | 3,128,78,0,0,21.1,0.268,55,0 143 | 5,106,82,30,0,39.5,0.286,38,0 144 | 2,108,52,26,63,32.5,0.318,22,0 145 | 10,108,66,0,0,32.4,0.272,42,1 146 | 4,154,62,31,284,32.8,0.237,23,0 147 | 0,102,75,23,0,0,0.572,21,0 148 | 9,57,80,37,0,32.8,0.096,41,0 149 | 2,106,64,35,119,30.5,1.4,34,0 150 | 5,147,78,0,0,33.7,0.218,65,0 151 | 2,90,70,17,0,27.3,0.085,22,0 152 | 1,136,74,50,204,37.4,0.399,24,0 153 | 4,114,65,0,0,21.9,0.432,37,0 154 | 9,156,86,28,155,34.3,1.189,42,1 155 | 1,153,82,42,485,40.6,0.687,23,0 156 | 8,188,78,0,0,47.9,0.137,43,1 157 | 7,152,88,44,0,50,0.337,36,1 158 | 2,99,52,15,94,24.6,0.637,21,0 159 | 1,109,56,21,135,25.2,0.833,23,0 160 | 2,88,74,19,53,29,0.229,22,0 161 | 17,163,72,41,114,40.9,0.817,47,1 162 | 4,151,90,38,0,29.7,0.294,36,0 163 | 7,102,74,40,105,37.2,0.204,45,0 164 | 0,114,80,34,285,44.2,0.167,27,0 165 | 2,100,64,23,0,29.7,0.368,21,0 166 | 0,131,88,0,0,31.6,0.743,32,1 167 | 6,104,74,18,156,29.9,0.722,41,1 168 | 3,148,66,25,0,32.5,0.256,22,0 169 | 4,120,68,0,0,29.6,0.709,34,0 170 | 4,110,66,0,0,31.9,0.471,29,0 171 | 3,111,90,12,78,28.4,0.495,29,0 172 | 6,102,82,0,0,30.8,0.18,36,1 173 | 6,134,70,23,130,35.4,0.542,29,1 174 | 2,87,0,23,0,28.9,0.773,25,0 175 | 1,79,60,42,48,43.5,0.678,23,0 176 | 2,75,64,24,55,29.7,0.37,33,0 177 | 8,179,72,42,130,32.7,0.719,36,1 178 | 6,85,78,0,0,31.2,0.382,42,0 179 | 0,129,110,46,130,67.1,0.319,26,1 180 | 5,143,78,0,0,45,0.19,47,0 181 | 5,130,82,0,0,39.1,0.956,37,1 182 | 6,87,80,0,0,23.2,0.084,32,0 183 | 0,119,64,18,92,34.9,0.725,23,0 184 | 1,0,74,20,23,27.7,0.299,21,0 185 | 5,73,60,0,0,26.8,0.268,27,0 186 | 4,141,74,0,0,27.6,0.244,40,0 187 | 7,194,68,28,0,35.9,0.745,41,1 188 | 8,181,68,36,495,30.1,0.615,60,1 189 | 1,128,98,41,58,32,1.321,33,1 190 | 8,109,76,39,114,27.9,0.64,31,1 191 | 5,139,80,35,160,31.6,0.361,25,1 192 | 3,111,62,0,0,22.6,0.142,21,0 193 | 9,123,70,44,94,33.1,0.374,40,0 194 | 7,159,66,0,0,30.4,0.383,36,1 195 | 11,135,0,0,0,52.3,0.578,40,1 196 | 8,85,55,20,0,24.4,0.136,42,0 197 | 5,158,84,41,210,39.4,0.395,29,1 198 | 1,105,58,0,0,24.3,0.187,21,0 199 | 3,107,62,13,48,22.9,0.678,23,1 200 | 4,109,64,44,99,34.8,0.905,26,1 201 | 4,148,60,27,318,30.9,0.15,29,1 202 | 0,113,80,16,0,31,0.874,21,0 203 | 1,138,82,0,0,40.1,0.236,28,0 204 | 0,108,68,20,0,27.3,0.787,32,0 205 | 2,99,70,16,44,20.4,0.235,27,0 206 | 6,103,72,32,190,37.7,0.324,55,0 207 | 5,111,72,28,0,23.9,0.407,27,0 208 | 8,196,76,29,280,37.5,0.605,57,1 209 | 5,162,104,0,0,37.7,0.151,52,1 210 | 1,96,64,27,87,33.2,0.289,21,0 211 | 7,184,84,33,0,35.5,0.355,41,1 212 | 2,81,60,22,0,27.7,0.29,25,0 213 | 0,147,85,54,0,42.8,0.375,24,0 214 | 7,179,95,31,0,34.2,0.164,60,0 215 | 0,140,65,26,130,42.6,0.431,24,1 216 | 9,112,82,32,175,34.2,0.26,36,1 217 | 12,151,70,40,271,41.8,0.742,38,1 218 | 5,109,62,41,129,35.8,0.514,25,1 219 | 6,125,68,30,120,30,0.464,32,0 220 | 5,85,74,22,0,29,1.224,32,1 221 | 5,112,66,0,0,37.8,0.261,41,1 222 | 0,177,60,29,478,34.6,1.072,21,1 223 | 2,158,90,0,0,31.6,0.805,66,1 224 | 7,119,0,0,0,25.2,0.209,37,0 225 | 7,142,60,33,190,28.8,0.687,61,0 226 | 1,100,66,15,56,23.6,0.666,26,0 227 | 1,87,78,27,32,34.6,0.101,22,0 228 | 0,101,76,0,0,35.7,0.198,26,0 229 | 3,162,52,38,0,37.2,0.652,24,1 230 | 4,197,70,39,744,36.7,2.329,31,0 231 | 0,117,80,31,53,45.2,0.089,24,0 232 | 4,142,86,0,0,44,0.645,22,1 233 | 6,134,80,37,370,46.2,0.238,46,1 234 | 1,79,80,25,37,25.4,0.583,22,0 235 | 4,122,68,0,0,35,0.394,29,0 236 | 3,74,68,28,45,29.7,0.293,23,0 237 | 4,171,72,0,0,43.6,0.479,26,1 238 | 7,181,84,21,192,35.9,0.586,51,1 239 | 0,179,90,27,0,44.1,0.686,23,1 240 | 9,164,84,21,0,30.8,0.831,32,1 241 | 0,104,76,0,0,18.4,0.582,27,0 242 | 1,91,64,24,0,29.2,0.192,21,0 243 | 4,91,70,32,88,33.1,0.446,22,0 244 | 3,139,54,0,0,25.6,0.402,22,1 245 | 6,119,50,22,176,27.1,1.318,33,1 246 | 2,146,76,35,194,38.2,0.329,29,0 247 | 9,184,85,15,0,30,1.213,49,1 248 | 10,122,68,0,0,31.2,0.258,41,0 249 | 0,165,90,33,680,52.3,0.427,23,0 250 | 9,124,70,33,402,35.4,0.282,34,0 251 | 1,111,86,19,0,30.1,0.143,23,0 252 | 9,106,52,0,0,31.2,0.38,42,0 253 | 2,129,84,0,0,28,0.284,27,0 254 | 2,90,80,14,55,24.4,0.249,24,0 255 | 0,86,68,32,0,35.8,0.238,25,0 256 | 12,92,62,7,258,27.6,0.926,44,1 257 | 1,113,64,35,0,33.6,0.543,21,1 258 | 3,111,56,39,0,30.1,0.557,30,0 259 | 2,114,68,22,0,28.7,0.092,25,0 260 | 1,193,50,16,375,25.9,0.655,24,0 261 | 11,155,76,28,150,33.3,1.353,51,1 262 | 3,191,68,15,130,30.9,0.299,34,0 263 | 3,141,0,0,0,30,0.761,27,1 264 | 4,95,70,32,0,32.1,0.612,24,0 265 | 3,142,80,15,0,32.4,0.2,63,0 266 | 4,123,62,0,0,32,0.226,35,1 267 | 5,96,74,18,67,33.6,0.997,43,0 268 | 0,138,0,0,0,36.3,0.933,25,1 269 | 2,128,64,42,0,40,1.101,24,0 270 | 0,102,52,0,0,25.1,0.078,21,0 271 | 2,146,0,0,0,27.5,0.24,28,1 272 | 10,101,86,37,0,45.6,1.136,38,1 273 | 2,108,62,32,56,25.2,0.128,21,0 274 | 3,122,78,0,0,23,0.254,40,0 275 | 1,71,78,50,45,33.2,0.422,21,0 276 | 13,106,70,0,0,34.2,0.251,52,0 277 | 2,100,70,52,57,40.5,0.677,25,0 278 | 7,106,60,24,0,26.5,0.296,29,1 279 | 0,104,64,23,116,27.8,0.454,23,0 280 | 5,114,74,0,0,24.9,0.744,57,0 281 | 2,108,62,10,278,25.3,0.881,22,0 282 | 0,146,70,0,0,37.9,0.334,28,1 283 | 10,129,76,28,122,35.9,0.28,39,0 284 | 7,133,88,15,155,32.4,0.262,37,0 285 | 7,161,86,0,0,30.4,0.165,47,1 286 | 2,108,80,0,0,27,0.259,52,1 287 | 7,136,74,26,135,26,0.647,51,0 288 | 5,155,84,44,545,38.7,0.619,34,0 289 | 1,119,86,39,220,45.6,0.808,29,1 290 | 4,96,56,17,49,20.8,0.34,26,0 291 | 5,108,72,43,75,36.1,0.263,33,0 292 | 0,78,88,29,40,36.9,0.434,21,0 293 | 0,107,62,30,74,36.6,0.757,25,1 294 | 2,128,78,37,182,43.3,1.224,31,1 295 | 1,128,48,45,194,40.5,0.613,24,1 296 | 0,161,50,0,0,21.9,0.254,65,0 297 | 6,151,62,31,120,35.5,0.692,28,0 298 | 2,146,70,38,360,28,0.337,29,1 299 | 0,126,84,29,215,30.7,0.52,24,0 300 | 14,100,78,25,184,36.6,0.412,46,1 301 | 8,112,72,0,0,23.6,0.84,58,0 302 | 0,167,0,0,0,32.3,0.839,30,1 303 | 2,144,58,33,135,31.6,0.422,25,1 304 | 5,77,82,41,42,35.8,0.156,35,0 305 | 5,115,98,0,0,52.9,0.209,28,1 306 | 3,150,76,0,0,21,0.207,37,0 307 | 2,120,76,37,105,39.7,0.215,29,0 308 | 10,161,68,23,132,25.5,0.326,47,1 309 | 0,137,68,14,148,24.8,0.143,21,0 310 | 0,128,68,19,180,30.5,1.391,25,1 311 | 2,124,68,28,205,32.9,0.875,30,1 312 | 6,80,66,30,0,26.2,0.313,41,0 313 | 0,106,70,37,148,39.4,0.605,22,0 314 | 2,155,74,17,96,26.6,0.433,27,1 315 | 3,113,50,10,85,29.5,0.626,25,0 316 | 7,109,80,31,0,35.9,1.127,43,1 317 | 2,112,68,22,94,34.1,0.315,26,0 318 | 3,99,80,11,64,19.3,0.284,30,0 319 | 3,182,74,0,0,30.5,0.345,29,1 320 | 3,115,66,39,140,38.1,0.15,28,0 321 | 6,194,78,0,0,23.5,0.129,59,1 322 | 4,129,60,12,231,27.5,0.527,31,0 323 | 3,112,74,30,0,31.6,0.197,25,1 324 | 0,124,70,20,0,27.4,0.254,36,1 325 | 13,152,90,33,29,26.8,0.731,43,1 326 | 2,112,75,32,0,35.7,0.148,21,0 327 | 1,157,72,21,168,25.6,0.123,24,0 328 | 1,122,64,32,156,35.1,0.692,30,1 329 | 10,179,70,0,0,35.1,0.2,37,0 330 | 2,102,86,36,120,45.5,0.127,23,1 331 | 6,105,70,32,68,30.8,0.122,37,0 332 | 8,118,72,19,0,23.1,1.476,46,0 333 | 2,87,58,16,52,32.7,0.166,25,0 334 | 1,180,0,0,0,43.3,0.282,41,1 335 | 12,106,80,0,0,23.6,0.137,44,0 336 | 1,95,60,18,58,23.9,0.26,22,0 337 | 0,165,76,43,255,47.9,0.259,26,0 338 | 0,117,0,0,0,33.8,0.932,44,0 339 | 5,115,76,0,0,31.2,0.343,44,1 340 | 9,152,78,34,171,34.2,0.893,33,1 341 | 7,178,84,0,0,39.9,0.331,41,1 342 | 1,130,70,13,105,25.9,0.472,22,0 343 | 1,95,74,21,73,25.9,0.673,36,0 344 | 1,0,68,35,0,32,0.389,22,0 345 | 5,122,86,0,0,34.7,0.29,33,0 346 | 8,95,72,0,0,36.8,0.485,57,0 347 | 8,126,88,36,108,38.5,0.349,49,0 348 | 1,139,46,19,83,28.7,0.654,22,0 349 | 3,116,0,0,0,23.5,0.187,23,0 350 | 3,99,62,19,74,21.8,0.279,26,0 351 | 5,0,80,32,0,41,0.346,37,1 352 | 4,92,80,0,0,42.2,0.237,29,0 353 | 4,137,84,0,0,31.2,0.252,30,0 354 | 3,61,82,28,0,34.4,0.243,46,0 355 | 1,90,62,12,43,27.2,0.58,24,0 356 | 3,90,78,0,0,42.7,0.559,21,0 357 | 9,165,88,0,0,30.4,0.302,49,1 358 | 1,125,50,40,167,33.3,0.962,28,1 359 | 13,129,0,30,0,39.9,0.569,44,1 360 | 12,88,74,40,54,35.3,0.378,48,0 361 | 1,196,76,36,249,36.5,0.875,29,1 362 | 5,189,64,33,325,31.2,0.583,29,1 363 | 5,158,70,0,0,29.8,0.207,63,0 364 | 5,103,108,37,0,39.2,0.305,65,0 365 | 4,146,78,0,0,38.5,0.52,67,1 366 | 4,147,74,25,293,34.9,0.385,30,0 367 | 5,99,54,28,83,34,0.499,30,0 368 | 6,124,72,0,0,27.6,0.368,29,1 369 | 0,101,64,17,0,21,0.252,21,0 370 | 3,81,86,16,66,27.5,0.306,22,0 371 | 1,133,102,28,140,32.8,0.234,45,1 372 | 3,173,82,48,465,38.4,2.137,25,1 373 | 0,118,64,23,89,0,1.731,21,0 374 | 0,84,64,22,66,35.8,0.545,21,0 375 | 2,105,58,40,94,34.9,0.225,25,0 376 | 2,122,52,43,158,36.2,0.816,28,0 377 | 12,140,82,43,325,39.2,0.528,58,1 378 | 0,98,82,15,84,25.2,0.299,22,0 379 | 1,87,60,37,75,37.2,0.509,22,0 380 | 4,156,75,0,0,48.3,0.238,32,1 381 | 0,93,100,39,72,43.4,1.021,35,0 382 | 1,107,72,30,82,30.8,0.821,24,0 383 | 0,105,68,22,0,20,0.236,22,0 384 | 1,109,60,8,182,25.4,0.947,21,0 385 | 1,90,62,18,59,25.1,1.268,25,0 386 | 1,125,70,24,110,24.3,0.221,25,0 387 | 1,119,54,13,50,22.3,0.205,24,0 388 | 5,116,74,29,0,32.3,0.66,35,1 389 | 8,105,100,36,0,43.3,0.239,45,1 390 | 5,144,82,26,285,32,0.452,58,1 391 | 3,100,68,23,81,31.6,0.949,28,0 392 | 1,100,66,29,196,32,0.444,42,0 393 | 5,166,76,0,0,45.7,0.34,27,1 394 | 1,131,64,14,415,23.7,0.389,21,0 395 | 4,116,72,12,87,22.1,0.463,37,0 396 | 4,158,78,0,0,32.9,0.803,31,1 397 | 2,127,58,24,275,27.7,1.6,25,0 398 | 3,96,56,34,115,24.7,0.944,39,0 399 | 0,131,66,40,0,34.3,0.196,22,1 400 | 3,82,70,0,0,21.1,0.389,25,0 401 | 3,193,70,31,0,34.9,0.241,25,1 402 | 4,95,64,0,0,32,0.161,31,1 403 | 6,137,61,0,0,24.2,0.151,55,0 404 | 5,136,84,41,88,35,0.286,35,1 405 | 9,72,78,25,0,31.6,0.28,38,0 406 | 5,168,64,0,0,32.9,0.135,41,1 407 | 2,123,48,32,165,42.1,0.52,26,0 408 | 4,115,72,0,0,28.9,0.376,46,1 409 | 0,101,62,0,0,21.9,0.336,25,0 410 | 8,197,74,0,0,25.9,1.191,39,1 411 | 1,172,68,49,579,42.4,0.702,28,1 412 | 6,102,90,39,0,35.7,0.674,28,0 413 | 1,112,72,30,176,34.4,0.528,25,0 414 | 1,143,84,23,310,42.4,1.076,22,0 415 | 1,143,74,22,61,26.2,0.256,21,0 416 | 0,138,60,35,167,34.6,0.534,21,1 417 | 3,173,84,33,474,35.7,0.258,22,1 418 | 1,97,68,21,0,27.2,1.095,22,0 419 | 4,144,82,32,0,38.5,0.554,37,1 420 | 1,83,68,0,0,18.2,0.624,27,0 421 | 3,129,64,29,115,26.4,0.219,28,1 422 | 1,119,88,41,170,45.3,0.507,26,0 423 | 2,94,68,18,76,26,0.561,21,0 424 | 0,102,64,46,78,40.6,0.496,21,0 425 | 2,115,64,22,0,30.8,0.421,21,0 426 | 8,151,78,32,210,42.9,0.516,36,1 427 | 4,184,78,39,277,37,0.264,31,1 428 | 0,94,0,0,0,0,0.256,25,0 429 | 1,181,64,30,180,34.1,0.328,38,1 430 | 0,135,94,46,145,40.6,0.284,26,0 431 | 1,95,82,25,180,35,0.233,43,1 432 | 2,99,0,0,0,22.2,0.108,23,0 433 | 3,89,74,16,85,30.4,0.551,38,0 434 | 1,80,74,11,60,30,0.527,22,0 435 | 2,139,75,0,0,25.6,0.167,29,0 436 | 1,90,68,8,0,24.5,1.138,36,0 437 | 0,141,0,0,0,42.4,0.205,29,1 438 | 12,140,85,33,0,37.4,0.244,41,0 439 | 5,147,75,0,0,29.9,0.434,28,0 440 | 1,97,70,15,0,18.2,0.147,21,0 441 | 6,107,88,0,0,36.8,0.727,31,0 442 | 0,189,104,25,0,34.3,0.435,41,1 443 | 2,83,66,23,50,32.2,0.497,22,0 444 | 4,117,64,27,120,33.2,0.23,24,0 445 | 8,108,70,0,0,30.5,0.955,33,1 446 | 4,117,62,12,0,29.7,0.38,30,1 447 | 0,180,78,63,14,59.4,2.42,25,1 448 | 1,100,72,12,70,25.3,0.658,28,0 449 | 0,95,80,45,92,36.5,0.33,26,0 450 | 0,104,64,37,64,33.6,0.51,22,1 451 | 0,120,74,18,63,30.5,0.285,26,0 452 | 1,82,64,13,95,21.2,0.415,23,0 453 | 2,134,70,0,0,28.9,0.542,23,1 454 | 0,91,68,32,210,39.9,0.381,25,0 455 | 2,119,0,0,0,19.6,0.832,72,0 456 | 2,100,54,28,105,37.8,0.498,24,0 457 | 14,175,62,30,0,33.6,0.212,38,1 458 | 1,135,54,0,0,26.7,0.687,62,0 459 | 5,86,68,28,71,30.2,0.364,24,0 460 | 10,148,84,48,237,37.6,1.001,51,1 461 | 9,134,74,33,60,25.9,0.46,81,0 462 | 9,120,72,22,56,20.8,0.733,48,0 463 | 1,71,62,0,0,21.8,0.416,26,0 464 | 8,74,70,40,49,35.3,0.705,39,0 465 | 5,88,78,30,0,27.6,0.258,37,0 466 | 10,115,98,0,0,24,1.022,34,0 467 | 0,124,56,13,105,21.8,0.452,21,0 468 | 0,74,52,10,36,27.8,0.269,22,0 469 | 0,97,64,36,100,36.8,0.6,25,0 470 | 8,120,0,0,0,30,0.183,38,1 471 | 6,154,78,41,140,46.1,0.571,27,0 472 | 1,144,82,40,0,41.3,0.607,28,0 473 | 0,137,70,38,0,33.2,0.17,22,0 474 | 0,119,66,27,0,38.8,0.259,22,0 475 | 7,136,90,0,0,29.9,0.21,50,0 476 | 4,114,64,0,0,28.9,0.126,24,0 477 | 0,137,84,27,0,27.3,0.231,59,0 478 | 2,105,80,45,191,33.7,0.711,29,1 479 | 7,114,76,17,110,23.8,0.466,31,0 480 | 8,126,74,38,75,25.9,0.162,39,0 481 | 4,132,86,31,0,28,0.419,63,0 482 | 3,158,70,30,328,35.5,0.344,35,1 483 | 0,123,88,37,0,35.2,0.197,29,0 484 | 4,85,58,22,49,27.8,0.306,28,0 485 | 0,84,82,31,125,38.2,0.233,23,0 486 | 0,145,0,0,0,44.2,0.63,31,1 487 | 0,135,68,42,250,42.3,0.365,24,1 488 | 1,139,62,41,480,40.7,0.536,21,0 489 | 0,173,78,32,265,46.5,1.159,58,0 490 | 4,99,72,17,0,25.6,0.294,28,0 491 | 8,194,80,0,0,26.1,0.551,67,0 492 | 2,83,65,28,66,36.8,0.629,24,0 493 | 2,89,90,30,0,33.5,0.292,42,0 494 | 4,99,68,38,0,32.8,0.145,33,0 495 | 4,125,70,18,122,28.9,1.144,45,1 496 | 3,80,0,0,0,0,0.174,22,0 497 | 6,166,74,0,0,26.6,0.304,66,0 498 | 5,110,68,0,0,26,0.292,30,0 499 | 2,81,72,15,76,30.1,0.547,25,0 500 | 7,195,70,33,145,25.1,0.163,55,1 501 | 6,154,74,32,193,29.3,0.839,39,0 502 | 2,117,90,19,71,25.2,0.313,21,0 503 | 3,84,72,32,0,37.2,0.267,28,0 504 | 6,0,68,41,0,39,0.727,41,1 505 | 7,94,64,25,79,33.3,0.738,41,0 506 | 3,96,78,39,0,37.3,0.238,40,0 507 | 10,75,82,0,0,33.3,0.263,38,0 508 | 0,180,90,26,90,36.5,0.314,35,1 509 | 1,130,60,23,170,28.6,0.692,21,0 510 | 2,84,50,23,76,30.4,0.968,21,0 511 | 8,120,78,0,0,25,0.409,64,0 512 | 12,84,72,31,0,29.7,0.297,46,1 513 | 0,139,62,17,210,22.1,0.207,21,0 514 | 9,91,68,0,0,24.2,0.2,58,0 515 | 2,91,62,0,0,27.3,0.525,22,0 516 | 3,99,54,19,86,25.6,0.154,24,0 517 | 3,163,70,18,105,31.6,0.268,28,1 518 | 9,145,88,34,165,30.3,0.771,53,1 519 | 7,125,86,0,0,37.6,0.304,51,0 520 | 13,76,60,0,0,32.8,0.18,41,0 521 | 6,129,90,7,326,19.6,0.582,60,0 522 | 2,68,70,32,66,25,0.187,25,0 523 | 3,124,80,33,130,33.2,0.305,26,0 524 | 6,114,0,0,0,0,0.189,26,0 525 | 9,130,70,0,0,34.2,0.652,45,1 526 | 3,125,58,0,0,31.6,0.151,24,0 527 | 3,87,60,18,0,21.8,0.444,21,0 528 | 1,97,64,19,82,18.2,0.299,21,0 529 | 3,116,74,15,105,26.3,0.107,24,0 530 | 0,117,66,31,188,30.8,0.493,22,0 531 | 0,111,65,0,0,24.6,0.66,31,0 532 | 2,122,60,18,106,29.8,0.717,22,0 533 | 0,107,76,0,0,45.3,0.686,24,0 534 | 1,86,66,52,65,41.3,0.917,29,0 535 | 6,91,0,0,0,29.8,0.501,31,0 536 | 1,77,56,30,56,33.3,1.251,24,0 537 | 4,132,0,0,0,32.9,0.302,23,1 538 | 0,105,90,0,0,29.6,0.197,46,0 539 | 0,57,60,0,0,21.7,0.735,67,0 540 | 0,127,80,37,210,36.3,0.804,23,0 541 | 3,129,92,49,155,36.4,0.968,32,1 542 | 8,100,74,40,215,39.4,0.661,43,1 543 | 3,128,72,25,190,32.4,0.549,27,1 544 | 10,90,85,32,0,34.9,0.825,56,1 545 | 4,84,90,23,56,39.5,0.159,25,0 546 | 1,88,78,29,76,32,0.365,29,0 547 | 8,186,90,35,225,34.5,0.423,37,1 548 | 5,187,76,27,207,43.6,1.034,53,1 549 | 4,131,68,21,166,33.1,0.16,28,0 550 | 1,164,82,43,67,32.8,0.341,50,0 551 | 4,189,110,31,0,28.5,0.68,37,0 552 | 1,116,70,28,0,27.4,0.204,21,0 553 | 3,84,68,30,106,31.9,0.591,25,0 554 | 6,114,88,0,0,27.8,0.247,66,0 555 | 1,88,62,24,44,29.9,0.422,23,0 556 | 1,84,64,23,115,36.9,0.471,28,0 557 | 7,124,70,33,215,25.5,0.161,37,0 558 | 1,97,70,40,0,38.1,0.218,30,0 559 | 8,110,76,0,0,27.8,0.237,58,0 560 | 11,103,68,40,0,46.2,0.126,42,0 561 | 11,85,74,0,0,30.1,0.3,35,0 562 | 6,125,76,0,0,33.8,0.121,54,1 563 | 0,198,66,32,274,41.3,0.502,28,1 564 | 1,87,68,34,77,37.6,0.401,24,0 565 | 6,99,60,19,54,26.9,0.497,32,0 566 | 0,91,80,0,0,32.4,0.601,27,0 567 | 2,95,54,14,88,26.1,0.748,22,0 568 | 1,99,72,30,18,38.6,0.412,21,0 569 | 6,92,62,32,126,32,0.085,46,0 570 | 4,154,72,29,126,31.3,0.338,37,0 571 | 0,121,66,30,165,34.3,0.203,33,1 572 | 3,78,70,0,0,32.5,0.27,39,0 573 | 2,130,96,0,0,22.6,0.268,21,0 574 | 3,111,58,31,44,29.5,0.43,22,0 575 | 2,98,60,17,120,34.7,0.198,22,0 576 | 1,143,86,30,330,30.1,0.892,23,0 577 | 1,119,44,47,63,35.5,0.28,25,0 578 | 6,108,44,20,130,24,0.813,35,0 579 | 2,118,80,0,0,42.9,0.693,21,1 580 | 10,133,68,0,0,27,0.245,36,0 581 | 2,197,70,99,0,34.7,0.575,62,1 582 | 0,151,90,46,0,42.1,0.371,21,1 583 | 6,109,60,27,0,25,0.206,27,0 584 | 12,121,78,17,0,26.5,0.259,62,0 585 | 8,100,76,0,0,38.7,0.19,42,0 586 | 8,124,76,24,600,28.7,0.687,52,1 587 | 1,93,56,11,0,22.5,0.417,22,0 588 | 8,143,66,0,0,34.9,0.129,41,1 589 | 6,103,66,0,0,24.3,0.249,29,0 590 | 3,176,86,27,156,33.3,1.154,52,1 591 | 0,73,0,0,0,21.1,0.342,25,0 592 | 11,111,84,40,0,46.8,0.925,45,1 593 | 2,112,78,50,140,39.4,0.175,24,0 594 | 3,132,80,0,0,34.4,0.402,44,1 595 | 2,82,52,22,115,28.5,1.699,25,0 596 | 6,123,72,45,230,33.6,0.733,34,0 597 | 0,188,82,14,185,32,0.682,22,1 598 | 0,67,76,0,0,45.3,0.194,46,0 599 | 1,89,24,19,25,27.8,0.559,21,0 600 | 1,173,74,0,0,36.8,0.088,38,1 601 | 1,109,38,18,120,23.1,0.407,26,0 602 | 1,108,88,19,0,27.1,0.4,24,0 603 | 6,96,0,0,0,23.7,0.19,28,0 604 | 1,124,74,36,0,27.8,0.1,30,0 605 | 7,150,78,29,126,35.2,0.692,54,1 606 | 4,183,0,0,0,28.4,0.212,36,1 607 | 1,124,60,32,0,35.8,0.514,21,0 608 | 1,181,78,42,293,40,1.258,22,1 609 | 1,92,62,25,41,19.5,0.482,25,0 610 | 0,152,82,39,272,41.5,0.27,27,0 611 | 1,111,62,13,182,24,0.138,23,0 612 | 3,106,54,21,158,30.9,0.292,24,0 613 | 3,174,58,22,194,32.9,0.593,36,1 614 | 7,168,88,42,321,38.2,0.787,40,1 615 | 6,105,80,28,0,32.5,0.878,26,0 616 | 11,138,74,26,144,36.1,0.557,50,1 617 | 3,106,72,0,0,25.8,0.207,27,0 618 | 6,117,96,0,0,28.7,0.157,30,0 619 | 2,68,62,13,15,20.1,0.257,23,0 620 | 9,112,82,24,0,28.2,1.282,50,1 621 | 0,119,0,0,0,32.4,0.141,24,1 622 | 2,112,86,42,160,38.4,0.246,28,0 623 | 2,92,76,20,0,24.2,1.698,28,0 624 | 6,183,94,0,0,40.8,1.461,45,0 625 | 0,94,70,27,115,43.5,0.347,21,0 626 | 2,108,64,0,0,30.8,0.158,21,0 627 | 4,90,88,47,54,37.7,0.362,29,0 628 | 0,125,68,0,0,24.7,0.206,21,0 629 | 0,132,78,0,0,32.4,0.393,21,0 630 | 5,128,80,0,0,34.6,0.144,45,0 631 | 4,94,65,22,0,24.7,0.148,21,0 632 | 7,114,64,0,0,27.4,0.732,34,1 633 | 0,102,78,40,90,34.5,0.238,24,0 634 | 2,111,60,0,0,26.2,0.343,23,0 635 | 1,128,82,17,183,27.5,0.115,22,0 636 | 10,92,62,0,0,25.9,0.167,31,0 637 | 13,104,72,0,0,31.2,0.465,38,1 638 | 5,104,74,0,0,28.8,0.153,48,0 639 | 2,94,76,18,66,31.6,0.649,23,0 640 | 7,97,76,32,91,40.9,0.871,32,1 641 | 1,100,74,12,46,19.5,0.149,28,0 642 | 0,102,86,17,105,29.3,0.695,27,0 643 | 4,128,70,0,0,34.3,0.303,24,0 644 | 6,147,80,0,0,29.5,0.178,50,1 645 | 4,90,0,0,0,28,0.61,31,0 646 | 3,103,72,30,152,27.6,0.73,27,0 647 | 2,157,74,35,440,39.4,0.134,30,0 648 | 1,167,74,17,144,23.4,0.447,33,1 649 | 0,179,50,36,159,37.8,0.455,22,1 650 | 11,136,84,35,130,28.3,0.26,42,1 651 | 0,107,60,25,0,26.4,0.133,23,0 652 | 1,91,54,25,100,25.2,0.234,23,0 653 | 1,117,60,23,106,33.8,0.466,27,0 654 | 5,123,74,40,77,34.1,0.269,28,0 655 | 2,120,54,0,0,26.8,0.455,27,0 656 | 1,106,70,28,135,34.2,0.142,22,0 657 | 2,155,52,27,540,38.7,0.24,25,1 658 | 2,101,58,35,90,21.8,0.155,22,0 659 | 1,120,80,48,200,38.9,1.162,41,0 660 | 11,127,106,0,0,39,0.19,51,0 661 | 3,80,82,31,70,34.2,1.292,27,1 662 | 10,162,84,0,0,27.7,0.182,54,0 663 | 1,199,76,43,0,42.9,1.394,22,1 664 | 8,167,106,46,231,37.6,0.165,43,1 665 | 9,145,80,46,130,37.9,0.637,40,1 666 | 6,115,60,39,0,33.7,0.245,40,1 667 | 1,112,80,45,132,34.8,0.217,24,0 668 | 4,145,82,18,0,32.5,0.235,70,1 669 | 10,111,70,27,0,27.5,0.141,40,1 670 | 6,98,58,33,190,34,0.43,43,0 671 | 9,154,78,30,100,30.9,0.164,45,0 672 | 6,165,68,26,168,33.6,0.631,49,0 673 | 1,99,58,10,0,25.4,0.551,21,0 674 | 10,68,106,23,49,35.5,0.285,47,0 675 | 3,123,100,35,240,57.3,0.88,22,0 676 | 8,91,82,0,0,35.6,0.587,68,0 677 | 6,195,70,0,0,30.9,0.328,31,1 678 | 9,156,86,0,0,24.8,0.23,53,1 679 | 0,93,60,0,0,35.3,0.263,25,0 680 | 3,121,52,0,0,36,0.127,25,1 681 | 2,101,58,17,265,24.2,0.614,23,0 682 | 2,56,56,28,45,24.2,0.332,22,0 683 | 0,162,76,36,0,49.6,0.364,26,1 684 | 0,95,64,39,105,44.6,0.366,22,0 685 | 4,125,80,0,0,32.3,0.536,27,1 686 | 5,136,82,0,0,0,0.64,69,0 687 | 2,129,74,26,205,33.2,0.591,25,0 688 | 3,130,64,0,0,23.1,0.314,22,0 689 | 1,107,50,19,0,28.3,0.181,29,0 690 | 1,140,74,26,180,24.1,0.828,23,0 691 | 1,144,82,46,180,46.1,0.335,46,1 692 | 8,107,80,0,0,24.6,0.856,34,0 693 | 13,158,114,0,0,42.3,0.257,44,1 694 | 2,121,70,32,95,39.1,0.886,23,0 695 | 7,129,68,49,125,38.5,0.439,43,1 696 | 2,90,60,0,0,23.5,0.191,25,0 697 | 7,142,90,24,480,30.4,0.128,43,1 698 | 3,169,74,19,125,29.9,0.268,31,1 699 | 0,99,0,0,0,25,0.253,22,0 700 | 4,127,88,11,155,34.5,0.598,28,0 701 | 4,118,70,0,0,44.5,0.904,26,0 702 | 2,122,76,27,200,35.9,0.483,26,0 703 | 6,125,78,31,0,27.6,0.565,49,1 704 | 1,168,88,29,0,35,0.905,52,1 705 | 2,129,0,0,0,38.5,0.304,41,0 706 | 4,110,76,20,100,28.4,0.118,27,0 707 | 6,80,80,36,0,39.8,0.177,28,0 708 | 10,115,0,0,0,0,0.261,30,1 709 | 2,127,46,21,335,34.4,0.176,22,0 710 | 9,164,78,0,0,32.8,0.148,45,1 711 | 2,93,64,32,160,38,0.674,23,1 712 | 3,158,64,13,387,31.2,0.295,24,0 713 | 5,126,78,27,22,29.6,0.439,40,0 714 | 10,129,62,36,0,41.2,0.441,38,1 715 | 0,134,58,20,291,26.4,0.352,21,0 716 | 3,102,74,0,0,29.5,0.121,32,0 717 | 7,187,50,33,392,33.9,0.826,34,1 718 | 3,173,78,39,185,33.8,0.97,31,1 719 | 10,94,72,18,0,23.1,0.595,56,0 720 | 1,108,60,46,178,35.5,0.415,24,0 721 | 5,97,76,27,0,35.6,0.378,52,1 722 | 4,83,86,19,0,29.3,0.317,34,0 723 | 1,114,66,36,200,38.1,0.289,21,0 724 | 1,149,68,29,127,29.3,0.349,42,1 725 | 5,117,86,30,105,39.1,0.251,42,0 726 | 1,111,94,0,0,32.8,0.265,45,0 727 | 4,112,78,40,0,39.4,0.236,38,0 728 | 1,116,78,29,180,36.1,0.496,25,0 729 | 0,141,84,26,0,32.4,0.433,22,0 730 | 2,175,88,0,0,22.9,0.326,22,0 731 | 2,92,52,0,0,30.1,0.141,22,0 732 | 3,130,78,23,79,28.4,0.323,34,1 733 | 8,120,86,0,0,28.4,0.259,22,1 734 | 2,174,88,37,120,44.5,0.646,24,1 735 | 2,106,56,27,165,29,0.426,22,0 736 | 2,105,75,0,0,23.3,0.56,53,0 737 | 4,95,60,32,0,35.4,0.284,28,0 738 | 0,126,86,27,120,27.4,0.515,21,0 739 | 8,65,72,23,0,32,0.6,42,0 740 | 2,99,60,17,160,36.6,0.453,21,0 741 | 1,102,74,0,0,39.5,0.293,42,1 742 | 11,120,80,37,150,42.3,0.785,48,1 743 | 3,102,44,20,94,30.8,0.4,26,0 744 | 1,109,58,18,116,28.5,0.219,22,0 745 | 9,140,94,0,0,32.7,0.734,45,1 746 | 13,153,88,37,140,40.6,1.174,39,0 747 | 12,100,84,33,105,30,0.488,46,0 748 | 1,147,94,41,0,49.3,0.358,27,1 749 | 1,81,74,41,57,46.3,1.096,32,0 750 | 3,187,70,22,200,36.4,0.408,36,1 751 | 6,162,62,0,0,24.3,0.178,50,1 752 | 4,136,70,0,0,31.2,1.182,22,1 753 | 1,121,78,39,74,39,0.261,28,0 754 | 3,108,62,24,0,26,0.223,25,0 755 | 0,181,88,44,510,43.3,0.222,26,1 756 | 8,154,78,32,0,32.4,0.443,45,1 757 | 1,128,88,39,110,36.5,1.057,37,1 758 | 7,137,90,41,0,32,0.391,39,0 759 | 0,123,72,0,0,36.3,0.258,52,1 760 | 1,106,76,0,0,37.5,0.197,26,0 761 | 6,190,92,0,0,35.5,0.278,66,1 762 | 2,88,58,26,16,28.4,0.766,22,0 763 | 9,170,74,31,0,44,0.403,43,1 764 | 9,89,62,0,0,22.5,0.142,33,0 765 | 10,101,76,48,180,32.9,0.171,63,0 766 | 2,122,70,27,0,36.8,0.34,27,0 767 | 5,121,72,23,112,26.2,0.245,30,0 768 | 1,126,60,0,0,30.1,0.349,47,1 769 | 1,93,70,31,0,30.4,0.315,23,0 -------------------------------------------------------------------------------- /dogrusal olmayan regresyon modelleri/Hitters.csv: -------------------------------------------------------------------------------- 1 | AtBat,Hits,HmRun,Runs,RBI,Walks,Years,CAtBat,CHits,CHmRun,CRuns,CRBI,CWalks,League,Division,PutOuts,Assists,Errors,Salary,NewLeague 2 | 293,66,1,30,29,14,1,293,66,1,30,29,14,A,E,446,33,20,NA,A 3 | 315,81,7,24,38,39,14,3449,835,69,321,414,375,N,W,632,43,10,475,N 4 | 479,130,18,66,72,76,3,1624,457,63,224,266,263,A,W,880,82,14,480,A 5 | 496,141,20,65,78,37,11,5628,1575,225,828,838,354,N,E,200,11,3,500,N 6 | 321,87,10,39,42,30,2,396,101,12,48,46,33,N,E,805,40,4,91.5,N 7 | 594,169,4,74,51,35,11,4408,1133,19,501,336,194,A,W,282,421,25,750,A 8 | 185,37,1,23,8,21,2,214,42,1,30,9,24,N,E,76,127,7,70,A 9 | 298,73,0,24,24,7,3,509,108,0,41,37,12,A,W,121,283,9,100,A 10 | 323,81,6,26,32,8,2,341,86,6,32,34,8,N,W,143,290,19,75,N 11 | 401,92,17,49,66,65,13,5206,1332,253,784,890,866,A,E,0,0,0,1100,A 12 | 574,159,21,107,75,59,10,4631,1300,90,702,504,488,A,E,238,445,22,517.143,A 13 | 202,53,4,31,26,27,9,1876,467,15,192,186,161,N,W,304,45,11,512.5,N 14 | 418,113,13,48,61,47,4,1512,392,41,205,204,203,N,E,211,11,7,550,N 15 | 239,60,0,30,11,22,6,1941,510,4,309,103,207,A,E,121,151,6,700,A 16 | 196,43,7,29,27,30,13,3231,825,36,376,290,238,N,E,80,45,8,240,N 17 | 183,39,3,20,15,11,3,201,42,3,20,16,11,A,W,118,0,0,NA,A 18 | 568,158,20,89,75,73,15,8068,2273,177,1045,993,732,N,W,105,290,10,775,N 19 | 190,46,2,24,8,15,5,479,102,5,65,23,39,A,W,102,177,16,175,A 20 | 407,104,6,57,43,65,12,5233,1478,100,643,658,653,A,W,912,88,9,NA,A 21 | 127,32,8,16,22,14,8,727,180,24,67,82,56,N,W,202,22,2,135,N 22 | 413,92,16,72,48,65,1,413,92,16,72,48,65,N,E,280,9,5,100,N 23 | 426,109,3,55,43,62,1,426,109,3,55,43,62,A,W,361,22,2,115,N 24 | 22,10,1,4,2,1,6,84,26,2,9,9,3,A,W,812,84,11,NA,A 25 | 472,116,16,60,62,74,6,1924,489,67,242,251,240,N,W,518,55,3,600,N 26 | 629,168,18,73,102,40,18,8424,2464,164,1008,1072,402,A,E,1067,157,14,776.667,A 27 | 587,163,4,92,51,70,6,2695,747,17,442,198,317,A,E,434,9,3,765,A 28 | 324,73,4,32,18,22,7,1931,491,13,291,108,180,N,E,222,3,3,708.333,N 29 | 474,129,10,50,56,40,10,2331,604,61,246,327,166,N,W,732,83,13,750,N 30 | 550,152,6,92,37,81,5,2308,633,32,349,182,308,N,W,262,329,16,625,N 31 | 513,137,20,90,95,90,14,5201,1382,166,763,734,784,A,W,267,5,3,900,A 32 | 313,84,9,42,30,39,17,6890,1833,224,1033,864,1087,A,W,127,221,7,NA,A 33 | 419,108,6,55,36,22,3,591,149,8,80,46,31,N,W,226,7,4,110,N 34 | 517,141,27,70,87,52,9,3571,994,215,545,652,337,N,W,1378,102,8,NA,N 35 | 583,168,17,83,80,56,5,1646,452,44,219,208,136,A,E,109,292,25,612.5,A 36 | 204,49,6,23,25,12,7,1309,308,27,126,132,66,A,W,419,46,5,300,A 37 | 379,106,10,38,60,30,14,6207,1906,146,859,803,571,N,W,72,170,24,850,N 38 | 161,36,0,19,10,17,4,1053,244,3,156,86,107,A,E,70,149,12,NA,A 39 | 268,60,5,24,25,15,2,350,78,5,34,29,18,N,W,442,59,6,90,N 40 | 346,98,5,31,53,30,16,5913,1615,235,784,901,560,A,E,0,0,0,NA,A 41 | 241,61,1,34,12,14,1,241,61,1,34,12,14,N,W,166,172,10,NA,N 42 | 181,41,1,15,21,33,2,232,50,4,20,29,45,A,E,326,29,5,67.5,A 43 | 216,54,0,21,18,15,18,7318,1926,46,796,627,483,N,W,103,84,5,NA,N 44 | 200,57,6,23,14,14,9,2516,684,46,371,230,195,N,W,69,1,1,NA,N 45 | 217,46,7,32,19,9,4,694,160,32,86,76,32,A,E,307,25,1,180,A 46 | 194,40,7,19,29,30,11,4183,1069,64,486,493,608,A,E,325,22,2,NA,A 47 | 254,68,2,28,26,22,6,999,236,21,108,117,118,A,E,359,30,4,305,A 48 | 416,132,7,57,49,33,3,932,273,24,113,121,80,N,W,73,177,18,215,N 49 | 205,57,8,34,32,9,5,756,192,32,117,107,51,A,E,58,4,4,247.5,A 50 | 542,140,12,46,75,41,16,7099,2130,235,987,1089,431,A,E,697,61,9,NA,A 51 | 526,146,13,71,70,84,6,2648,715,77,352,342,289,N,W,303,9,9,815,N 52 | 457,101,14,42,63,22,17,6521,1767,281,1003,977,619,A,W,389,39,4,875,A 53 | 214,53,2,30,29,23,2,226,59,2,32,32,27,N,E,109,7,3,70,N 54 | 19,7,0,1,2,1,4,41,13,1,3,4,4,A,E,0,0,0,NA,A 55 | 591,168,19,80,72,39,9,4478,1307,113,634,563,319,A,W,67,147,4,1200,A 56 | 403,101,12,45,53,39,12,5150,1429,166,747,666,526,A,E,316,6,5,675,A 57 | 405,102,18,49,85,20,6,950,231,29,99,138,64,N,W,161,10,3,415,N 58 | 244,58,9,28,25,35,4,1335,333,49,164,179,194,N,W,142,14,2,340,N 59 | 235,61,3,24,39,21,14,3926,1029,35,441,401,333,A,E,425,43,4,NA,A 60 | 313,78,6,32,41,12,12,3742,968,35,409,321,170,N,W,106,206,7,416.667,N 61 | 627,177,25,98,81,70,6,3210,927,133,529,472,313,A,E,240,482,13,1350,A 62 | 416,113,24,58,69,16,1,416,113,24,58,69,16,A,E,203,70,10,90,A 63 | 155,44,6,21,23,15,16,6631,1634,98,698,661,777,N,E,53,88,3,275,N 64 | 236,56,0,27,15,11,4,1115,270,1,116,64,57,A,W,125,199,13,230,A 65 | 216,53,1,31,15,22,4,926,210,9,118,69,114,N,W,73,152,11,225,N 66 | 24,3,0,1,0,2,3,159,28,0,20,12,9,A,W,80,4,0,NA,A 67 | 585,139,31,93,94,62,17,7546,1982,315,1141,1179,727,A,E,0,0,0,950,A 68 | 191,37,4,12,17,14,4,773,163,16,61,74,52,N,E,391,38,8,NA,N 69 | 199,53,5,29,22,21,3,514,120,8,57,40,39,A,W,152,3,5,75,A 70 | 521,142,20,67,86,45,4,815,205,22,99,103,78,A,E,107,242,23,105,A 71 | 419,113,1,44,27,44,12,4484,1231,32,612,344,422,A,E,211,2,1,NA,A 72 | 311,81,3,42,30,26,17,8247,2198,100,950,909,690,N,W,153,223,10,320,N 73 | 138,31,8,18,21,38,3,244,53,12,33,32,55,N,E,244,21,4,NA,N 74 | 512,131,26,69,96,52,14,5347,1397,221,712,815,548,A,W,119,216,12,850,A 75 | 507,122,29,78,85,91,18,7761,1947,347,1175,1152,1380,A,E,808,108,2,535,A 76 | 529,137,26,86,97,97,15,6661,1785,291,1082,949,989,A,E,280,10,5,933.333,A 77 | 424,119,6,57,46,13,9,3651,1046,32,461,301,112,A,E,224,286,8,850,N 78 | 351,97,4,55,29,39,4,1258,353,16,196,110,117,N,W,226,7,3,210,A 79 | 195,55,5,24,33,30,8,1313,338,25,144,149,153,N,E,83,2,1,NA,N 80 | 388,103,15,59,47,39,6,2174,555,80,285,274,186,A,W,182,9,4,325,A 81 | 339,96,4,37,29,23,4,1064,290,11,123,108,55,A,W,104,213,9,275,A 82 | 561,118,35,70,94,33,16,6677,1575,442,901,1210,608,A,W,463,32,8,NA,A 83 | 255,70,7,49,35,43,15,6311,1661,154,1019,608,820,N,E,51,54,8,450,N 84 | 677,238,31,117,113,53,5,2223,737,93,349,401,171,A,E,1377,100,6,1975,A 85 | 227,46,7,23,20,12,5,1325,324,44,156,158,67,A,W,92,2,2,NA,A 86 | 614,163,29,89,83,75,11,5017,1388,266,813,822,617,N,W,303,6,6,1900,N 87 | 329,83,9,50,39,56,9,3828,948,145,575,528,635,A,W,276,6,2,600,A 88 | 637,174,31,89,116,56,14,6727,2024,247,978,1093,495,N,W,278,9,9,1041.667,N 89 | 280,82,16,44,45,47,2,428,113,25,61,70,63,A,E,148,4,2,110,A 90 | 155,41,12,21,29,22,16,5409,1338,181,746,805,875,A,W,165,9,1,260,A 91 | 458,114,13,67,57,48,4,1350,298,28,160,123,122,A,W,246,389,18,475,A 92 | 314,83,13,39,46,16,5,1457,405,28,156,159,76,A,W,533,40,4,431.5,A 93 | 475,123,27,76,93,72,4,1810,471,108,292,343,267,N,E,226,10,6,1220,N 94 | 317,78,7,35,35,32,1,317,78,7,35,35,32,A,E,45,122,26,70,A 95 | 511,138,25,76,96,61,3,592,164,28,87,110,71,A,W,157,7,8,145,A 96 | 278,69,3,24,21,29,8,2079,565,32,258,192,162,N,W,142,210,10,NA,N 97 | 382,119,13,54,58,36,12,2133,594,41,287,294,227,N,W,59,156,9,595,N 98 | 565,148,24,90,104,77,14,7287,2083,305,1135,1234,791,A,E,292,9,5,1861.46,A 99 | 277,71,2,27,29,14,15,5952,1647,60,753,596,259,N,W,360,32,5,NA,N 100 | 415,115,27,97,71,68,3,711,184,45,156,119,99,N,W,274,2,7,300,N 101 | 424,110,15,70,47,36,7,2130,544,38,335,174,258,N,W,292,6,3,490,N 102 | 495,151,17,61,84,78,10,5624,1679,275,884,1015,709,A,E,1045,88,13,2460,A 103 | 524,132,9,69,47,54,2,972,260,14,123,92,90,A,E,212,327,20,NA,A 104 | 233,49,2,41,23,18,8,1350,336,7,166,122,106,A,E,102,132,10,375,A 105 | 395,106,16,48,56,35,10,2303,571,86,266,323,248,A,E,709,41,7,NA,A 106 | 397,114,23,67,67,53,13,5589,1632,241,906,926,716,A,E,244,2,4,NA,A 107 | 210,37,8,15,19,15,6,994,244,36,107,114,53,A,E,40,115,15,NA,A 108 | 420,95,23,55,58,37,3,646,139,31,77,77,61,N,W,206,10,7,NA,N 109 | 566,154,22,76,84,43,14,6100,1583,131,743,693,300,A,W,316,439,10,750,A 110 | 641,198,31,101,108,41,5,2129,610,92,297,319,117,A,E,269,17,10,1175,A 111 | 215,51,4,19,18,11,1,215,51,4,19,18,11,A,E,116,5,12,70,A 112 | 441,128,16,70,73,80,14,6675,2095,209,1072,1050,695,A,W,97,218,16,1500,A 113 | 325,76,16,33,52,37,5,1506,351,71,195,219,214,N,W,726,87,3,385,A 114 | 490,125,24,81,105,62,13,6063,1646,271,847,999,680,N,E,869,62,8,1925.571,N 115 | 574,152,31,91,101,64,3,985,260,53,148,173,95,N,W,1253,111,11,215,N 116 | 284,64,14,30,42,24,18,7023,1925,348,986,1239,666,N,E,96,4,4,NA,N 117 | 596,171,34,91,108,52,6,2862,728,107,361,401,224,A,W,118,334,21,900,A 118 | 472,118,12,63,54,30,4,793,187,14,102,80,50,A,W,228,377,26,155,A 119 | 283,77,14,45,47,26,16,6840,1910,259,915,1067,546,A,W,144,6,5,700,A 120 | 408,94,4,42,36,66,9,3573,866,59,429,365,410,N,W,282,487,19,535,N 121 | 327,85,3,30,44,20,8,2140,568,16,216,208,93,A,E,91,185,12,362.5,A 122 | 370,96,21,49,46,60,15,6986,1972,231,1070,955,921,N,E,137,5,9,733.333,N 123 | 354,77,16,36,55,41,20,8716,2172,384,1172,1267,1057,N,W,83,174,16,200,N 124 | 539,139,5,93,58,69,5,1469,369,12,247,126,198,A,W,462,9,7,400,A 125 | 340,84,11,62,33,47,5,1516,376,42,284,141,219,N,E,185,8,4,400,A 126 | 510,126,2,42,44,35,11,5562,1578,44,703,519,256,N,W,207,358,20,737.5,N 127 | 315,59,16,45,36,58,13,4677,1051,268,681,782,697,A,W,0,0,0,NA,A 128 | 282,78,13,37,51,29,5,1649,453,73,211,280,138,A,W,670,57,5,500,A 129 | 380,120,5,54,51,31,8,3118,900,92,444,419,240,A,W,237,8,1,600,A 130 | 584,158,15,70,84,42,5,2358,636,58,265,316,134,N,E,331,20,4,662.5,N 131 | 570,169,21,72,88,38,7,3754,1077,140,492,589,263,A,W,295,15,5,950,A 132 | 306,104,14,50,58,25,7,2954,822,55,313,377,187,N,E,116,222,15,750,N 133 | 220,54,10,30,39,31,5,1185,299,40,145,154,128,N,E,50,136,20,297.5,N 134 | 278,70,7,22,37,18,18,7186,2081,190,935,1088,643,A,W,0,0,0,325,A 135 | 445,99,1,46,24,29,4,618,129,1,72,31,48,A,W,278,415,16,87.5,A 136 | 143,39,5,18,30,15,9,639,151,16,80,97,61,N,W,138,15,1,175,N 137 | 185,40,4,23,11,18,3,524,125,7,58,37,47,N,E,97,2,2,90,N 138 | 589,170,40,107,108,69,6,2325,634,128,371,376,238,A,E,368,20,3,1237.5,A 139 | 343,103,6,48,36,40,15,4338,1193,70,581,421,325,A,E,211,56,13,430,A 140 | 284,69,1,33,18,25,5,1407,361,6,139,98,111,A,E,122,140,5,NA,N 141 | 438,103,2,65,32,71,2,440,103,2,67,32,71,A,W,276,7,9,100,N 142 | 600,144,33,85,117,65,2,696,173,38,101,130,69,A,W,319,4,14,165,A 143 | 663,200,29,108,121,32,4,1447,404,57,210,222,68,A,E,241,8,6,250,A 144 | 232,55,9,34,23,45,12,4405,1213,194,702,705,625,N,E,623,35,3,1300,N 145 | 479,133,10,48,72,55,17,7472,2147,153,980,1032,854,N,W,237,5,4,773.333,N 146 | 209,45,0,38,19,42,10,3859,916,23,557,279,478,A,W,132,205,5,NA,A 147 | 528,132,21,61,74,41,6,2641,671,97,273,383,226,N,E,885,105,8,1008.333,N 148 | 160,39,8,18,31,22,14,2128,543,56,304,268,298,A,E,33,3,0,275,A 149 | 599,183,10,80,74,32,5,2482,715,27,330,326,158,A,E,231,374,18,775,A 150 | 497,136,7,58,38,26,11,3871,1066,40,450,367,241,A,E,304,347,10,850,A 151 | 210,70,13,32,51,28,15,4040,1130,97,544,462,551,A,E,0,0,0,365,A 152 | 225,61,5,32,26,26,11,1568,408,25,202,185,257,A,W,132,9,0,NA,A 153 | 151,41,4,26,21,19,2,288,68,9,45,39,35,A,W,28,56,2,95,A 154 | 278,86,4,33,38,45,1,278,86,4,33,38,45,N,W,102,4,2,110,N 155 | 341,95,6,48,42,20,10,2964,808,81,379,428,221,N,W,158,4,5,100,N 156 | 537,147,23,58,88,47,10,2744,730,97,302,351,174,N,E,92,257,20,277.5,N 157 | 399,102,3,56,34,34,5,670,167,4,89,48,54,A,W,211,9,3,80,A 158 | 309,94,5,37,32,26,13,4618,1330,57,616,522,436,N,E,161,3,3,600,N 159 | 401,100,2,60,19,28,4,876,238,2,126,44,55,N,E,193,11,4,NA,N 160 | 336,93,9,35,46,23,15,5779,1610,128,730,741,497,A,W,0,0,0,NA,A 161 | 616,163,27,83,107,32,3,1437,377,65,181,227,82,A,W,110,308,15,200,A 162 | 219,47,8,24,26,17,12,1188,286,23,100,125,63,A,W,260,58,4,NA,A 163 | 579,174,7,67,78,58,6,3053,880,32,366,337,218,N,E,280,479,5,657,N 164 | 165,39,2,13,9,16,3,196,44,2,18,10,18,A,W,332,19,2,75,N 165 | 618,200,20,98,110,62,13,7127,2163,351,1104,1289,564,A,E,330,16,8,2412.5,A 166 | 257,66,5,31,26,32,14,3910,979,33,518,324,382,N,W,87,166,14,250,A 167 | 315,76,13,35,60,25,3,630,151,24,68,94,55,N,E,498,39,13,155,N 168 | 591,157,16,90,78,26,4,2020,541,52,310,226,91,N,E,290,440,25,640,N 169 | 404,92,11,54,49,18,6,1354,325,30,188,135,63,A,E,222,5,5,300,A 170 | 315,73,5,23,37,16,4,450,108,6,38,46,28,A,W,227,15,3,110,A 171 | 249,69,6,32,19,20,4,702,209,10,97,48,44,N,E,103,8,2,NA,N 172 | 429,91,12,41,42,57,13,5590,1397,83,578,579,644,A,W,686,46,4,825,N 173 | 212,54,13,28,44,18,2,233,59,13,31,46,20,A,E,243,23,5,NA,A 174 | 453,101,3,46,43,61,3,948,218,6,96,72,91,N,W,249,444,16,195,N 175 | 161,43,4,17,26,22,3,707,179,21,77,99,76,A,W,300,12,2,NA,A 176 | 184,47,5,20,28,18,11,3327,890,74,419,382,304,N,W,49,2,0,450,N 177 | 591,184,20,83,79,38,5,1689,462,40,219,195,82,N,W,303,12,5,630,N 178 | 181,58,6,34,23,22,1,181,58,6,34,23,22,N,W,88,0,3,86.5,N 179 | 441,118,28,84,86,68,8,2723,750,126,433,420,309,A,E,190,2,2,1300,A 180 | 490,150,21,69,58,35,14,6126,1839,121,983,707,600,A,E,96,5,3,1000,N 181 | 551,171,13,94,83,94,13,6090,1840,128,969,900,917,N,E,1199,149,5,1800,N 182 | 550,147,29,85,91,71,6,2816,815,117,405,474,319,A,W,1218,104,10,1310,A 183 | 283,74,4,34,29,22,10,3919,1062,85,505,456,283,N,W,145,5,7,737.5,N 184 | 560,161,26,89,96,66,4,1789,470,65,233,260,155,N,W,332,9,8,625,N 185 | 328,91,12,51,43,33,2,342,94,12,51,44,33,N,E,145,59,8,125,N 186 | 586,159,12,72,79,53,9,3082,880,83,363,477,295,N,E,181,13,4,1043.333,N 187 | 503,136,5,62,48,83,10,3423,970,20,408,303,414,N,W,65,258,8,725,N 188 | 344,85,24,69,64,88,7,911,214,64,150,156,187,A,W,0,0,0,300,A 189 | 680,223,31,119,96,34,3,1928,587,35,262,201,91,A,W,429,8,6,365,A 190 | 279,64,0,31,26,30,1,279,64,0,31,26,30,N,W,107,205,16,75,N 191 | 484,127,20,66,65,67,7,3006,844,116,436,458,377,N,E,1231,80,7,1183.333,N 192 | 431,127,8,77,45,58,2,667,187,9,117,64,88,N,E,283,8,3,202.5,N 193 | 283,70,8,33,37,27,12,4479,1222,94,557,483,307,A,E,156,2,2,225,A 194 | 491,141,11,77,47,37,15,4291,1240,84,615,430,340,A,E,239,8,2,525,A 195 | 199,52,9,26,28,21,6,805,191,30,113,119,87,N,W,235,22,5,265,N 196 | 589,149,21,89,86,64,7,3558,928,102,513,471,351,A,E,371,6,6,787.5,A 197 | 327,84,22,53,62,38,10,4273,1123,212,577,700,334,A,E,483,48,6,800,N 198 | 464,128,28,67,94,52,13,5829,1552,210,740,840,452,A,W,0,0,0,587.5,A 199 | 166,34,0,20,13,17,1,166,34,0,20,13,17,N,E,64,119,9,NA,N 200 | 338,92,18,42,60,21,3,682,185,36,88,112,50,A,E,0,0,0,145,A 201 | 508,146,8,80,44,46,9,3148,915,41,571,289,326,A,W,245,5,9,NA,A 202 | 584,157,20,95,73,63,10,4704,1320,93,724,522,576,A,E,276,421,11,420,A 203 | 216,54,2,27,25,33,1,216,54,2,27,25,33,N,W,317,36,1,75,N 204 | 625,179,4,94,60,65,5,1696,476,12,216,163,166,A,E,303,450,14,575,A 205 | 243,53,4,18,26,27,4,853,228,23,101,110,76,N,E,107,3,3,NA,N 206 | 489,131,19,77,55,34,7,2051,549,62,300,263,153,A,W,310,9,9,780,A 207 | 209,56,12,22,36,19,2,216,58,12,24,37,19,N,E,201,6,3,90,N 208 | 407,93,8,47,30,30,2,969,230,14,121,69,68,N,W,172,317,25,150,N 209 | 490,148,14,64,78,49,13,3400,1000,113,445,491,301,A,E,0,0,0,700,N 210 | 209,59,6,20,37,27,4,884,209,14,66,106,92,N,E,415,35,3,NA,N 211 | 442,131,18,68,77,33,6,1416,398,47,210,203,136,A,E,233,7,7,550,A 212 | 317,88,3,40,32,19,8,2543,715,28,269,270,118,A,W,220,16,4,NA,A 213 | 288,65,8,30,36,27,9,2815,698,55,315,325,189,N,E,259,30,10,650,A 214 | 209,54,3,25,14,12,1,209,54,3,25,14,12,A,W,102,6,3,68,A 215 | 303,71,3,18,30,36,3,344,76,3,20,36,45,N,E,468,47,6,100,N 216 | 330,77,19,47,53,27,6,1928,516,90,247,288,161,N,W,149,8,6,670,N 217 | 504,120,28,71,71,54,3,1085,259,54,150,167,114,A,E,103,283,19,175,A 218 | 258,60,8,28,33,18,3,638,170,17,80,75,36,A,W,358,32,8,137,A 219 | 20,1,0,0,0,0,2,41,9,2,6,7,4,N,E,78,220,6,2127.333,N 220 | 374,94,5,36,26,62,7,1968,519,26,181,199,288,N,W,756,64,15,875,N 221 | 211,43,10,26,35,39,3,498,116,14,59,55,78,A,W,463,32,8,120,A 222 | 299,75,6,38,23,26,3,580,160,8,71,33,44,N,E,212,1,2,140,N 223 | 576,167,8,89,49,57,4,822,232,19,132,83,79,N,E,325,12,8,210,N 224 | 381,110,9,61,45,32,7,3015,834,40,451,249,168,N,E,228,7,5,800,N 225 | 288,76,7,34,37,15,4,1644,408,16,198,120,113,N,W,203,3,3,240,N 226 | 369,93,9,43,42,49,5,1258,323,54,181,177,157,A,E,149,1,6,350,A 227 | 330,76,12,35,41,47,4,1367,326,55,167,198,167,N,W,512,30,5,NA,N 228 | 547,137,2,58,47,12,2,1038,271,3,129,80,24,A,W,261,459,22,175,A 229 | 572,152,18,105,49,65,2,978,249,36,168,91,101,A,W,325,13,3,200,A 230 | 359,84,4,46,27,21,12,4992,1257,37,699,386,387,N,W,151,8,5,NA,N 231 | 514,144,0,67,54,79,9,4739,1169,13,583,374,528,N,E,229,453,15,1940,N 232 | 359,80,15,45,48,63,7,1493,359,61,176,202,175,N,W,682,93,13,700,N 233 | 526,163,12,88,50,77,4,1556,470,38,245,167,174,A,W,250,11,1,750,A 234 | 313,83,9,43,41,30,14,5885,1543,104,751,714,535,N,W,58,141,23,450,N 235 | 540,135,30,82,88,55,1,540,135,30,82,88,55,A,W,157,6,14,172,A 236 | 437,123,9,62,55,40,9,4139,1203,79,676,390,364,A,E,82,170,15,1260,A 237 | 551,160,23,86,90,87,5,2235,602,75,278,328,273,A,W,1224,115,11,NA,A 238 | 237,52,0,15,25,30,24,14053,4256,160,2165,1314,1566,N,W,523,43,6,750,N 239 | 236,56,6,41,19,21,5,1257,329,24,166,125,105,A,E,172,1,4,190,A 240 | 473,154,6,61,48,29,6,1966,566,29,250,252,178,A,E,846,84,9,580,A 241 | 309,72,0,33,31,26,5,354,82,0,41,32,26,N,E,117,269,12,130,N 242 | 271,77,5,35,29,33,12,4933,1358,48,630,435,403,A,W,62,90,3,450,A 243 | 357,96,7,50,45,39,5,1394,344,43,178,192,136,A,W,167,2,4,300,A 244 | 216,56,4,22,18,15,12,2796,665,43,266,304,198,A,E,391,44,4,250,A 245 | 256,70,13,42,36,44,16,7058,1845,312,965,1128,990,N,E,41,118,8,1050,A 246 | 466,108,33,75,86,72,3,652,142,44,102,109,102,A,E,286,8,8,215,A 247 | 327,68,13,42,29,45,18,3949,939,78,438,380,466,A,E,659,53,7,400,A 248 | 462,119,16,49,65,37,7,2131,583,69,244,288,150,A,E,866,65,6,NA,A 249 | 341,110,9,45,49,46,9,2331,658,50,249,322,274,A,E,251,9,4,560,A 250 | 608,160,28,130,74,89,8,4071,1182,103,862,417,708,A,E,426,4,6,1670,A 251 | 419,101,18,65,58,92,20,9528,2510,548,1509,1659,1342,A,W,0,0,0,487.5,A 252 | 33,6,0,2,4,7,1,33,6,0,2,4,7,A,W,205,5,4,NA,A 253 | 376,82,21,42,60,35,5,1770,408,115,238,299,157,A,W,0,0,0,425,A 254 | 486,145,11,51,76,40,11,3967,1102,67,410,497,284,N,E,88,204,16,500,A 255 | 186,44,7,28,16,11,1,186,44,7,28,16,11,N,W,99,3,1,NA,N 256 | 307,80,1,42,36,29,7,2421,656,18,379,198,184,A,W,145,2,2,NA,A 257 | 246,76,5,35,39,13,6,912,234,12,102,96,80,A,E,44,0,1,250,A 258 | 205,52,8,31,27,17,12,5134,1323,56,643,445,459,A,E,155,3,2,400,A 259 | 348,90,11,50,45,43,10,2288,614,43,295,273,269,A,E,60,176,6,450,A 260 | 523,135,8,52,44,52,9,3368,895,39,377,284,296,N,W,367,475,19,750,N 261 | 312,68,2,32,22,24,1,312,68,2,32,22,24,A,E,86,150,15,70,A 262 | 496,119,8,57,33,21,7,3358,882,36,365,280,165,N,W,155,371,29,875,N 263 | 126,27,3,8,10,5,4,239,49,3,16,13,14,N,E,190,2,9,190,N 264 | 275,68,5,42,42,61,6,961,238,16,128,104,172,N,E,181,3,2,191,N 265 | 627,178,14,68,76,46,6,3146,902,74,494,345,242,N,E,309,492,5,740,N 266 | 394,86,1,38,28,36,4,1089,267,3,94,71,76,N,E,203,369,16,250,N 267 | 208,57,8,32,25,18,3,653,170,17,98,54,62,N,E,42,94,13,140,N 268 | 382,101,16,50,55,22,1,382,101,16,50,55,22,A,W,200,7,6,97.5,A 269 | 459,113,20,59,57,68,12,5348,1369,155,713,660,735,A,W,0,0,0,740,A 270 | 549,149,7,73,47,42,1,549,149,7,73,47,42,N,W,255,450,17,140,N 271 | 288,63,3,25,33,16,10,2682,667,38,315,259,204,A,W,135,257,7,341.667,A 272 | 303,84,4,35,32,23,2,312,87,4,39,32,23,N,W,179,5,3,NA,N 273 | 522,163,9,82,46,62,13,7037,2019,153,1043,827,535,A,E,352,9,1,1000,A 274 | 512,117,29,54,88,43,6,1750,412,100,204,276,155,A,W,1236,98,18,100,A 275 | 220,66,5,20,28,13,3,290,80,5,27,31,15,A,W,281,21,3,90,A 276 | 522,140,16,73,77,60,4,730,185,22,93,106,86,N,E,1320,166,17,200,N 277 | 461,112,18,54,54,35,2,680,160,24,76,75,49,A,W,111,226,11,135,A 278 | 581,145,17,66,68,21,2,831,210,21,106,86,40,N,E,320,465,32,155,N 279 | 530,159,3,82,50,47,6,1619,426,11,218,149,163,A,W,196,354,15,475,A 280 | 557,142,21,58,81,23,18,8759,2583,271,1138,1299,478,N,W,1160,53,7,1450,N 281 | 439,96,0,44,36,65,4,711,148,1,68,56,99,N,E,229,406,22,150,N 282 | 453,103,8,53,33,52,2,507,123,8,63,39,58,A,W,289,407,6,105,A 283 | 528,122,1,67,45,51,4,1716,403,12,211,146,155,A,W,209,372,17,350,A 284 | 633,210,6,91,56,59,6,3070,872,19,420,230,274,N,W,367,432,16,90,N 285 | 16,2,0,1,0,0,2,28,4,0,1,0,0,A,E,247,4,8,NA,A 286 | 562,169,17,88,73,53,8,3181,841,61,450,342,373,A,E,351,442,17,530,A 287 | 281,76,3,42,25,20,8,2658,657,48,324,300,179,A,E,106,144,7,341.667,A 288 | 593,152,23,69,75,53,6,2765,686,133,369,384,321,A,W,315,10,6,940,A 289 | 687,213,10,91,65,27,4,1518,448,15,196,137,89,A,E,294,445,13,350,A 290 | 368,103,3,48,28,54,8,1897,493,9,207,162,198,N,W,209,246,3,326.667,N 291 | 263,70,1,26,23,30,4,888,220,9,83,82,86,N,E,81,147,4,250,N 292 | 642,211,14,107,59,52,5,2364,770,27,352,230,193,N,W,337,19,4,740,N 293 | 265,68,8,26,30,29,7,1337,339,32,135,163,128,N,W,92,5,3,425,A 294 | 289,63,7,36,41,44,17,7402,1954,195,1115,919,1153,A,W,166,211,7,NA,A 295 | 559,141,2,48,61,73,8,3162,874,16,421,349,359,N,E,352,414,9,925,N 296 | 520,120,17,53,44,21,4,927,227,22,106,80,52,A,W,70,144,11,185,A 297 | 19,4,1,2,3,1,1,19,4,1,2,3,1,N,W,692,70,8,920,A 298 | 205,43,2,24,17,20,7,854,219,12,105,99,71,N,E,131,6,1,286.667,N 299 | 193,47,10,21,29,24,6,1136,256,42,129,139,106,A,W,299,13,5,245,A 300 | 181,46,1,19,18,17,5,937,238,9,88,95,104,A,E,37,98,9,NA,A 301 | 213,61,4,17,22,3,17,4061,1145,83,488,491,244,A,W,178,45,4,235,A 302 | 510,147,10,56,52,53,7,2872,821,63,307,340,174,N,E,810,99,18,1150,N 303 | 578,138,1,56,59,34,3,1399,357,7,149,161,87,N,E,133,371,20,160,N 304 | 200,51,2,14,29,25,23,9778,2732,379,1272,1652,925,N,W,398,29,7,NA,N 305 | 441,113,5,76,52,76,5,1546,397,17,226,149,191,A,W,160,290,11,425,A 306 | 172,42,3,17,14,15,10,4086,1150,57,579,363,406,N,W,65,0,0,900,N 307 | 580,194,9,91,62,78,8,3372,1028,48,604,314,469,N,E,270,13,6,NA,N 308 | 127,32,4,14,25,12,19,8396,2402,242,1048,1348,819,N,W,167,18,6,500,N 309 | 279,69,4,35,31,32,4,1359,355,31,180,148,158,N,E,133,173,9,277.5,N 310 | 480,112,18,50,71,44,7,3031,771,110,338,406,239,N,E,94,270,16,750,N 311 | 600,139,0,94,29,60,2,1236,309,1,201,69,110,N,E,300,12,9,160,N 312 | 610,186,19,107,98,74,6,2728,753,69,399,366,286,N,E,1182,96,13,1300,N 313 | 360,81,5,37,44,37,7,2268,566,41,279,257,246,N,E,170,284,3,525,N 314 | 387,124,1,67,27,36,7,1775,506,6,272,125,194,N,E,186,290,17,550,N 315 | 580,207,8,107,71,105,5,2778,978,32,474,322,417,A,E,121,267,19,1600,A 316 | 408,117,11,66,41,34,1,408,117,11,66,41,34,N,W,942,72,11,120,N 317 | 593,172,22,82,100,57,1,593,172,22,82,100,57,A,W,1222,139,15,165,A 318 | 221,53,2,21,23,22,8,1063,283,15,107,124,106,N,E,325,58,6,NA,N 319 | 497,127,7,65,48,37,5,2703,806,32,379,311,138,N,E,325,9,3,700,N 320 | 492,136,5,76,50,94,12,5511,1511,39,897,451,875,A,E,313,381,20,875,A 321 | 475,126,3,61,43,52,6,1700,433,7,217,93,146,A,W,37,113,7,385,A 322 | 573,144,9,85,60,78,8,3198,857,97,470,420,332,A,E,1314,131,12,960,A 323 | 631,170,9,77,44,31,11,4908,1457,30,775,357,249,A,W,408,4,3,1000,A 324 | -------------------------------------------------------------------------------- /gozetimsiz_ogrenme/USArrests.csv: -------------------------------------------------------------------------------- 1 | "","Murder","Assault","UrbanPop","Rape" 2 | "Alabama",13.2,236,58,21.2 3 | "Alaska",10,263,48,44.5 4 | "Arizona",8.1,294,80,31 5 | "Arkansas",8.8,190,50,19.5 6 | "California",9,276,91,40.6 7 | "Colorado",7.9,204,78,38.7 8 | "Connecticut",3.3,110,77,11.1 9 | "Delaware",5.9,238,72,15.8 10 | "Florida",15.4,335,80,31.9 11 | "Georgia",17.4,211,60,25.8 12 | "Hawaii",5.3,46,83,20.2 13 | "Idaho",2.6,120,54,14.2 14 | "Illinois",10.4,249,83,24 15 | "Indiana",7.2,113,65,21 16 | "Iowa",2.2,56,57,11.3 17 | "Kansas",6,115,66,18 18 | "Kentucky",9.7,109,52,16.3 19 | "Louisiana",15.4,249,66,22.2 20 | "Maine",2.1,83,51,7.8 21 | "Maryland",11.3,300,67,27.8 22 | "Massachusetts",4.4,149,85,16.3 23 | "Michigan",12.1,255,74,35.1 24 | "Minnesota",2.7,72,66,14.9 25 | "Mississippi",16.1,259,44,17.1 26 | "Missouri",9,178,70,28.2 27 | "Montana",6,109,53,16.4 28 | "Nebraska",4.3,102,62,16.5 29 | "Nevada",12.2,252,81,46 30 | "New Hampshire",2.1,57,56,9.5 31 | "New Jersey",7.4,159,89,18.8 32 | "New Mexico",11.4,285,70,32.1 33 | "New York",11.1,254,86,26.1 34 | "North Carolina",13,337,45,16.1 35 | "North Dakota",0.8,45,44,7.3 36 | "Ohio",7.3,120,75,21.4 37 | "Oklahoma",6.6,151,68,20 38 | "Oregon",4.9,159,67,29.3 39 | "Pennsylvania",6.3,106,72,14.9 40 | "Rhode Island",3.4,174,87,8.3 41 | "South Carolina",14.4,279,48,22.5 42 | "South Dakota",3.8,86,45,12.8 43 | "Tennessee",13.2,188,59,26.9 44 | "Texas",12.7,201,80,25.5 45 | "Utah",3.2,120,80,22.9 46 | "Vermont",2.2,48,32,11.2 47 | "Virginia",8.5,156,63,20.7 48 | "Washington",4,145,73,26.2 49 | "West Virginia",5.7,81,39,9.3 50 | "Wisconsin",2.6,53,66,10.8 51 | "Wyoming",6.8,161,60,15.6 52 | -------------------------------------------------------------------------------- /gozetimsiz_ogrenme/gozetimsiz_ogrenme.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": null, 6 | "metadata": {}, 7 | "outputs": [], 8 | "source": [ 9 | "from warnings import filterwarnings\n", 10 | "filterwarnings('ignore')\n", 11 | "import numpy as np\n", 12 | "import pandas as pd \n", 13 | "import seaborn as sns\n", 14 | "import matplotlib.pyplot as plt\n", 15 | "import scipy as sp\n", 16 | "from sklearn.cluster import KMeans" 17 | ] 18 | }, 19 | { 20 | "cell_type": "markdown", 21 | "metadata": {}, 22 | "source": [ 23 | "# K-Means" 24 | ] 25 | }, 26 | { 27 | "cell_type": "code", 28 | "execution_count": null, 29 | "metadata": {}, 30 | "outputs": [], 31 | "source": [ 32 | "df = pd.read_csv(\"USArrests.csv\").copy()\n", 33 | "df.head()" 34 | ] 35 | }, 36 | { 37 | "cell_type": "code", 38 | "execution_count": null, 39 | "metadata": {}, 40 | "outputs": [], 41 | "source": [ 42 | "df.index = df.iloc[:,0]" 43 | ] 44 | }, 45 | { 46 | "cell_type": "code", 47 | "execution_count": null, 48 | "metadata": {}, 49 | "outputs": [], 50 | "source": [ 51 | "df.index" 52 | ] 53 | }, 54 | { 55 | "cell_type": "code", 56 | "execution_count": null, 57 | "metadata": {}, 58 | "outputs": [], 59 | "source": [ 60 | "df.head()" 61 | ] 62 | }, 63 | { 64 | "cell_type": "code", 65 | "execution_count": null, 66 | "metadata": {}, 67 | "outputs": [], 68 | "source": [ 69 | "df = df.iloc[:,1:5]" 70 | ] 71 | }, 72 | { 73 | "cell_type": "code", 74 | "execution_count": null, 75 | "metadata": {}, 76 | "outputs": [], 77 | "source": [ 78 | "df.head()" 79 | ] 80 | }, 81 | { 82 | "cell_type": "code", 83 | "execution_count": null, 84 | "metadata": {}, 85 | "outputs": [], 86 | "source": [ 87 | "#del df.index.name" 88 | ] 89 | }, 90 | { 91 | "cell_type": "code", 92 | "execution_count": null, 93 | "metadata": {}, 94 | "outputs": [], 95 | "source": [ 96 | "df.head()" 97 | ] 98 | }, 99 | { 100 | "cell_type": "code", 101 | "execution_count": null, 102 | "metadata": {}, 103 | "outputs": [], 104 | "source": [ 105 | "df.isnull().sum()" 106 | ] 107 | }, 108 | { 109 | "cell_type": "code", 110 | "execution_count": null, 111 | "metadata": {}, 112 | "outputs": [], 113 | "source": [ 114 | "df.info()" 115 | ] 116 | }, 117 | { 118 | "cell_type": "code", 119 | "execution_count": null, 120 | "metadata": {}, 121 | "outputs": [], 122 | "source": [ 123 | "df.describe().T" 124 | ] 125 | }, 126 | { 127 | "cell_type": "code", 128 | "execution_count": null, 129 | "metadata": {}, 130 | "outputs": [], 131 | "source": [ 132 | "df.hist(figsize = (10,10));" 133 | ] 134 | }, 135 | { 136 | "cell_type": "markdown", 137 | "metadata": {}, 138 | "source": [ 139 | "## K-MEANS Model ve Görselleştirme" 140 | ] 141 | }, 142 | { 143 | "cell_type": "code", 144 | "execution_count": null, 145 | "metadata": {}, 146 | "outputs": [], 147 | "source": [ 148 | "from sklearn.cluster import KMeans\n", 149 | "kmeans = KMeans(n_clusters = 4)\n", 150 | "kmeans" 151 | ] 152 | }, 153 | { 154 | "cell_type": "code", 155 | "execution_count": null, 156 | "metadata": {}, 157 | "outputs": [], 158 | "source": [ 159 | "?kmeans" 160 | ] 161 | }, 162 | { 163 | "cell_type": "code", 164 | "execution_count": null, 165 | "metadata": {}, 166 | "outputs": [], 167 | "source": [ 168 | "k_fit = kmeans.fit(df)" 169 | ] 170 | }, 171 | { 172 | "cell_type": "code", 173 | "execution_count": null, 174 | "metadata": {}, 175 | "outputs": [], 176 | "source": [ 177 | "k_fit.n_clusters" 178 | ] 179 | }, 180 | { 181 | "cell_type": "code", 182 | "execution_count": null, 183 | "metadata": {}, 184 | "outputs": [], 185 | "source": [ 186 | "k_fit.cluster_centers_" 187 | ] 188 | }, 189 | { 190 | "cell_type": "code", 191 | "execution_count": null, 192 | "metadata": {}, 193 | "outputs": [], 194 | "source": [ 195 | "k_fit.labels_" 196 | ] 197 | }, 198 | { 199 | "cell_type": "code", 200 | "execution_count": null, 201 | "metadata": {}, 202 | "outputs": [], 203 | "source": [ 204 | "#görsellestirme" 205 | ] 206 | }, 207 | { 208 | "cell_type": "code", 209 | "execution_count": null, 210 | "metadata": {}, 211 | "outputs": [], 212 | "source": [ 213 | "kmeans = KMeans(n_clusters = 2)\n", 214 | "k_fit = kmeans.fit(df)" 215 | ] 216 | }, 217 | { 218 | "cell_type": "code", 219 | "execution_count": null, 220 | "metadata": {}, 221 | "outputs": [], 222 | "source": [ 223 | "kumeler = k_fit.labels_" 224 | ] 225 | }, 226 | { 227 | "cell_type": "code", 228 | "execution_count": null, 229 | "metadata": {}, 230 | "outputs": [], 231 | "source": [ 232 | "plt.scatter(df.iloc[:,0], df.iloc[:,1], c = kumeler, s = 50, cmap = \"viridis\")\n", 233 | "\n", 234 | "merkezler = k_fit.cluster_centers_\n", 235 | "\n", 236 | "plt.scatter(merkezler[:,0], merkezler[:,1], c = \"black\", s = 200, alpha = 0.5);" 237 | ] 238 | }, 239 | { 240 | "cell_type": "code", 241 | "execution_count": null, 242 | "metadata": {}, 243 | "outputs": [], 244 | "source": [ 245 | "from mpl_toolkits.mplot3d import Axes3D" 246 | ] 247 | }, 248 | { 249 | "cell_type": "code", 250 | "execution_count": null, 251 | "metadata": {}, 252 | "outputs": [], 253 | "source": [ 254 | "#!pip install --upgrade matplotlib\n", 255 | "#import mpl_toolkits" 256 | ] 257 | }, 258 | { 259 | "cell_type": "code", 260 | "execution_count": null, 261 | "metadata": {}, 262 | "outputs": [], 263 | "source": [ 264 | "kmeans = KMeans(n_clusters = 3)\n", 265 | "k_fit = kmeans.fit(df)\n", 266 | "kumeler = k_fit.labels_\n", 267 | "merkezler = kmeans.cluster_centers_" 268 | ] 269 | }, 270 | { 271 | "cell_type": "code", 272 | "execution_count": null, 273 | "metadata": {}, 274 | "outputs": [], 275 | "source": [ 276 | "plt.rcParams['figure.figsize'] = (16, 9)\n", 277 | "fig = plt.figure()\n", 278 | "ax = Axes3D(fig)\n", 279 | "ax.scatter(df.iloc[:, 0], df.iloc[:, 1], df.iloc[:, 2]);" 280 | ] 281 | }, 282 | { 283 | "cell_type": "code", 284 | "execution_count": null, 285 | "metadata": {}, 286 | "outputs": [], 287 | "source": [ 288 | "fig = plt.figure()\n", 289 | "ax = Axes3D(fig)\n", 290 | "ax.scatter(df.iloc[:, 0], df.iloc[:, 1], df.iloc[:, 2], c=kumeler)\n", 291 | "ax.scatter(merkezler[:, 0], merkezler[:, 1], merkezler[:, 2], \n", 292 | " marker='*', \n", 293 | " c='#050505', \n", 294 | " s=1000);" 295 | ] 296 | }, 297 | { 298 | "cell_type": "code", 299 | "execution_count": null, 300 | "metadata": {}, 301 | "outputs": [], 302 | "source": [ 303 | "#kumeler ve gözlem birimleri" 304 | ] 305 | }, 306 | { 307 | "cell_type": "code", 308 | "execution_count": null, 309 | "metadata": {}, 310 | "outputs": [], 311 | "source": [ 312 | "kmeans = KMeans(n_clusters = 3)\n", 313 | "k_fit = kmeans.fit(df)\n", 314 | "kumeler = k_fit.labels_" 315 | ] 316 | }, 317 | { 318 | "cell_type": "code", 319 | "execution_count": null, 320 | "metadata": {}, 321 | "outputs": [], 322 | "source": [ 323 | "pd.DataFrame({\"Eyaletler\" : df.index, \"Kumeler\": kumeler})[0:10]" 324 | ] 325 | }, 326 | { 327 | "cell_type": "code", 328 | "execution_count": null, 329 | "metadata": {}, 330 | "outputs": [], 331 | "source": [ 332 | "df[\"kume_no\"] = kumeler" 333 | ] 334 | }, 335 | { 336 | "cell_type": "code", 337 | "execution_count": null, 338 | "metadata": {}, 339 | "outputs": [], 340 | "source": [ 341 | "df.head()" 342 | ] 343 | }, 344 | { 345 | "cell_type": "code", 346 | "execution_count": null, 347 | "metadata": {}, 348 | "outputs": [], 349 | "source": [ 350 | "df[\"kume_no\"] = df[\"kume_no\"] + 1" 351 | ] 352 | }, 353 | { 354 | "cell_type": "code", 355 | "execution_count": null, 356 | "metadata": {}, 357 | "outputs": [], 358 | "source": [ 359 | "df.head()" 360 | ] 361 | }, 362 | { 363 | "cell_type": "markdown", 364 | "metadata": {}, 365 | "source": [ 366 | "# Optimum Kume Sayısının Belirlenmesi" 367 | ] 368 | }, 369 | { 370 | "cell_type": "code", 371 | "execution_count": null, 372 | "metadata": {}, 373 | "outputs": [], 374 | "source": [ 375 | "#!pip install yellowbrick\n", 376 | "from yellowbrick.cluster import KElbowVisualizer\n", 377 | "kmeans = KMeans()\n", 378 | "visualizer = KElbowVisualizer(kmeans, k=(2,50))\n", 379 | "visualizer.fit(df) \n", 380 | "visualizer.poof() " 381 | ] 382 | }, 383 | { 384 | "cell_type": "code", 385 | "execution_count": null, 386 | "metadata": {}, 387 | "outputs": [], 388 | "source": [ 389 | "kmeans = KMeans(n_clusters = 4)\n", 390 | "k_fit = kmeans.fit(df)\n", 391 | "kumeler = k_fit.labels_" 392 | ] 393 | }, 394 | { 395 | "cell_type": "code", 396 | "execution_count": null, 397 | "metadata": {}, 398 | "outputs": [], 399 | "source": [ 400 | "pd.DataFrame({\"Eyaletler\" : df.index, \"Kumeler\": kumeler})[0:10]" 401 | ] 402 | }, 403 | { 404 | "cell_type": "markdown", 405 | "metadata": {}, 406 | "source": [ 407 | "# Hiyerarşik Kümeleme" 408 | ] 409 | }, 410 | { 411 | "cell_type": "code", 412 | "execution_count": null, 413 | "metadata": {}, 414 | "outputs": [], 415 | "source": [ 416 | "df = pd.read_csv(\"USArrests.csv\").copy()\n", 417 | "df.index = df.iloc[:,0]\n", 418 | "df = df.iloc[:,1:5]\n", 419 | "#del df.index.name\n", 420 | "df.head()" 421 | ] 422 | }, 423 | { 424 | "cell_type": "code", 425 | "execution_count": null, 426 | "metadata": {}, 427 | "outputs": [], 428 | "source": [ 429 | "from scipy.cluster.hierarchy import linkage\n", 430 | "hc_complete = linkage(df, \"complete\")\n", 431 | "hc_average = linkage(df, \"average\")\n", 432 | "hc_single = linkage(df, \"single\")" 433 | ] 434 | }, 435 | { 436 | "cell_type": "code", 437 | "execution_count": null, 438 | "metadata": {}, 439 | "outputs": [], 440 | "source": [ 441 | "dir(hc_complete)" 442 | ] 443 | }, 444 | { 445 | "cell_type": "code", 446 | "execution_count": null, 447 | "metadata": {}, 448 | "outputs": [], 449 | "source": [ 450 | "from scipy.cluster.hierarchy import dendrogram\n", 451 | "\n", 452 | "plt.figure(figsize=(15, 10))\n", 453 | "plt.title('Hiyerarşik Kümeleme - Dendogram')\n", 454 | "plt.xlabel('Indexler')\n", 455 | "plt.ylabel('Uzaklık')\n", 456 | "dendrogram(\n", 457 | " hc_complete,\n", 458 | " leaf_font_size=10\n", 459 | ");" 460 | ] 461 | }, 462 | { 463 | "cell_type": "code", 464 | "execution_count": null, 465 | "metadata": {}, 466 | "outputs": [], 467 | "source": [ 468 | "from scipy.cluster.hierarchy import dendrogram\n", 469 | "\n", 470 | "plt.figure(figsize=(15, 10))\n", 471 | "plt.title('Hiyerarşik Kümeleme - Dendogram')\n", 472 | "plt.xlabel('Indexler')\n", 473 | "plt.ylabel('Uzaklık')\n", 474 | "dendrogram(\n", 475 | " hc_complete,\n", 476 | " truncate_mode = \"lastp\",\n", 477 | " p = 4,\n", 478 | " show_contracted = True\n", 479 | ");" 480 | ] 481 | }, 482 | { 483 | "cell_type": "markdown", 484 | "metadata": {}, 485 | "source": [ 486 | "## Optimum Küme Sayısı" 487 | ] 488 | }, 489 | { 490 | "cell_type": "code", 491 | "execution_count": null, 492 | "metadata": {}, 493 | "outputs": [], 494 | "source": [ 495 | "from scipy.cluster.hierarchy import dendrogram\n", 496 | "\n", 497 | "plt.figure(figsize=(15, 10))\n", 498 | "plt.title('Hiyerarşik Kümeleme - Dendogram')\n", 499 | "plt.xlabel('Indexler')\n", 500 | "plt.ylabel('Uzaklık')\n", 501 | "den = dendrogram(\n", 502 | " hc_complete,\n", 503 | " leaf_font_size=10\n", 504 | ");" 505 | ] 506 | }, 507 | { 508 | "cell_type": "code", 509 | "execution_count": null, 510 | "metadata": {}, 511 | "outputs": [], 512 | "source": [ 513 | "?den" 514 | ] 515 | }, 516 | { 517 | "cell_type": "code", 518 | "execution_count": null, 519 | "metadata": {}, 520 | "outputs": [], 521 | "source": [ 522 | "?dendrogram" 523 | ] 524 | }, 525 | { 526 | "cell_type": "code", 527 | "execution_count": null, 528 | "metadata": {}, 529 | "outputs": [], 530 | "source": [ 531 | "from sklearn.cluster import AgglomerativeClustering\n", 532 | "cluster = AgglomerativeClustering(n_clusters = 4, \n", 533 | " affinity = \"euclidean\", \n", 534 | " linkage = \"ward\")\n", 535 | "\n", 536 | "cluster.fit_predict(df)" 537 | ] 538 | }, 539 | { 540 | "cell_type": "code", 541 | "execution_count": null, 542 | "metadata": {}, 543 | "outputs": [], 544 | "source": [ 545 | "pd.DataFrame({\"Eyaletler\" : df.index, \"Kumeler\": cluster.fit_predict(df)})[0:10]" 546 | ] 547 | }, 548 | { 549 | "cell_type": "code", 550 | "execution_count": null, 551 | "metadata": {}, 552 | "outputs": [], 553 | "source": [ 554 | "df[\"kume_no\"] = cluster.fit_predict(df)" 555 | ] 556 | }, 557 | { 558 | "cell_type": "code", 559 | "execution_count": null, 560 | "metadata": {}, 561 | "outputs": [], 562 | "source": [ 563 | "df.head()" 564 | ] 565 | }, 566 | { 567 | "cell_type": "markdown", 568 | "metadata": {}, 569 | "source": [ 570 | "# PCA" 571 | ] 572 | }, 573 | { 574 | "cell_type": "code", 575 | "execution_count": null, 576 | "metadata": {}, 577 | "outputs": [], 578 | "source": [ 579 | "df = pd.read_csv(\"USArrests.csv\").copy()\n", 580 | "df.index = df.iloc[:,0]\n", 581 | "df = df.iloc[:,1:5]\n", 582 | "#del df.index.name\n", 583 | "df.head()" 584 | ] 585 | }, 586 | { 587 | "cell_type": "code", 588 | "execution_count": null, 589 | "metadata": {}, 590 | "outputs": [], 591 | "source": [ 592 | "from warnings import filterwarnings\n", 593 | "filterwarnings('ignore')" 594 | ] 595 | }, 596 | { 597 | "cell_type": "code", 598 | "execution_count": null, 599 | "metadata": {}, 600 | "outputs": [], 601 | "source": [ 602 | "from sklearn.preprocessing import StandardScaler\n", 603 | "\n", 604 | "df = StandardScaler().fit_transform(df)\n", 605 | "df[0:5,0:5]" 606 | ] 607 | }, 608 | { 609 | "cell_type": "code", 610 | "execution_count": null, 611 | "metadata": {}, 612 | "outputs": [], 613 | "source": [ 614 | "from sklearn.decomposition import PCA\n", 615 | "pca = PCA(n_components = 3)\n", 616 | "pca_fit = pca.fit_transform(df)" 617 | ] 618 | }, 619 | { 620 | "cell_type": "code", 621 | "execution_count": null, 622 | "metadata": {}, 623 | "outputs": [], 624 | "source": [ 625 | "bilesen_df = pd.DataFrame(data = pca_fit, \n", 626 | " columns = [\"birinci_bilesen\",\"ikinci_bilesen\",\"ucuncu_bilesen\"])" 627 | ] 628 | }, 629 | { 630 | "cell_type": "code", 631 | "execution_count": null, 632 | "metadata": {}, 633 | "outputs": [], 634 | "source": [ 635 | "bilesen_df.head()" 636 | ] 637 | }, 638 | { 639 | "cell_type": "code", 640 | "execution_count": null, 641 | "metadata": {}, 642 | "outputs": [], 643 | "source": [ 644 | "pca.explained_variance_ratio_" 645 | ] 646 | }, 647 | { 648 | "cell_type": "code", 649 | "execution_count": null, 650 | "metadata": {}, 651 | "outputs": [], 652 | "source": [ 653 | "pca = PCA().fit(df)" 654 | ] 655 | }, 656 | { 657 | "cell_type": "code", 658 | "execution_count": null, 659 | "metadata": {}, 660 | "outputs": [], 661 | "source": [ 662 | "plt.plot(np.cumsum(pca.explained_variance_ratio_))" 663 | ] 664 | } 665 | ], 666 | "metadata": { 667 | "kernelspec": { 668 | "display_name": "Python 3", 669 | "language": "python", 670 | "name": "python3" 671 | }, 672 | "language_info": { 673 | "codemirror_mode": { 674 | "name": "ipython", 675 | "version": 3 676 | }, 677 | "file_extension": ".py", 678 | "mimetype": "text/x-python", 679 | "name": "python", 680 | "nbconvert_exporter": "python", 681 | "pygments_lexer": "ipython3", 682 | "version": "3.7.3" 683 | } 684 | }, 685 | "nbformat": 4, 686 | "nbformat_minor": 2 687 | } 688 | -------------------------------------------------------------------------------- /metin_madenciligi/VBO.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/metin_madenciligi/VBO.jpg -------------------------------------------------------------------------------- /metin_madenciligi/kelime_bulutu.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/metin_madenciligi/kelime_bulutu.png -------------------------------------------------------------------------------- /metin_madenciligi/tr.png: -------------------------------------------------------------------------------- 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12,214.7,24,4,17.4 14 | 13,23.8,35.1,65.9,9.2 15 | 14,97.5,7.6,7.2,9.7 16 | 15,204.1,32.9,46,19 17 | 16,195.4,47.7,52.9,22.4 18 | 17,67.8,36.6,114,12.5 19 | 18,281.4,39.6,55.8,24.4 20 | 19,69.2,20.5,18.3,11.3 21 | 20,147.3,23.9,19.1,14.6 22 | 21,218.4,27.7,53.4,18 23 | 22,237.4,5.1,23.5,12.5 24 | 23,13.2,15.9,49.6,5.6 25 | 24,228.3,16.9,26.2,15.5 26 | 25,62.3,12.6,18.3,9.7 27 | 26,262.9,3.5,19.5,12 28 | 27,142.9,29.3,12.6,15 29 | 28,240.1,16.7,22.9,15.9 30 | 29,248.8,27.1,22.9,18.9 31 | 30,70.6,16,40.8,10.5 32 | 31,292.9,28.3,43.2,21.4 33 | 32,112.9,17.4,38.6,11.9 34 | 33,97.2,1.5,30,9.6 35 | 34,265.6,20,0.3,17.4 36 | 35,95.7,1.4,7.4,9.5 37 | 36,290.7,4.1,8.5,12.8 38 | 37,266.9,43.8,5,25.4 39 | 38,74.7,49.4,45.7,14.7 40 | 39,43.1,26.7,35.1,10.1 41 | 40,228,37.7,32,21.5 42 | 41,202.5,22.3,31.6,16.6 43 | 42,177,33.4,38.7,17.1 44 | 43,293.6,27.7,1.8,20.7 45 | 44,206.9,8.4,26.4,12.9 46 | 45,25.1,25.7,43.3,8.5 47 | 46,175.1,22.5,31.5,14.9 48 | 47,89.7,9.9,35.7,10.6 49 | 48,239.9,41.5,18.5,23.2 50 | 49,227.2,15.8,49.9,14.8 51 | 50,66.9,11.7,36.8,9.7 52 | 51,199.8,3.1,34.6,11.4 53 | 52,100.4,9.6,3.6,10.7 54 | 53,216.4,41.7,39.6,22.6 55 | 54,182.6,46.2,58.7,21.2 56 | 55,262.7,28.8,15.9,20.2 57 | 56,198.9,49.4,60,23.7 58 | 57,7.3,28.1,41.4,5.5 59 | 58,136.2,19.2,16.6,13.2 60 | 59,210.8,49.6,37.7,23.8 61 | 60,210.7,29.5,9.3,18.4 62 | 61,53.5,2,21.4,8.1 63 | 62,261.3,42.7,54.7,24.2 64 | 63,239.3,15.5,27.3,15.7 65 | 64,102.7,29.6,8.4,14 66 | 65,131.1,42.8,28.9,18 67 | 66,69,9.3,0.9,9.3 68 | 67,31.5,24.6,2.2,9.5 69 | 68,139.3,14.5,10.2,13.4 70 | 69,237.4,27.5,11,18.9 71 | 70,216.8,43.9,27.2,22.3 72 | 71,199.1,30.6,38.7,18.3 73 | 72,109.8,14.3,31.7,12.4 74 | 73,26.8,33,19.3,8.8 75 | 74,129.4,5.7,31.3,11 76 | 75,213.4,24.6,13.1,17 77 | 76,16.9,43.7,89.4,8.7 78 | 77,27.5,1.6,20.7,6.9 79 | 78,120.5,28.5,14.2,14.2 80 | 79,5.4,29.9,9.4,5.3 81 | 80,116,7.7,23.1,11 82 | 81,76.4,26.7,22.3,11.8 83 | 82,239.8,4.1,36.9,12.3 84 | 83,75.3,20.3,32.5,11.3 85 | 84,68.4,44.5,35.6,13.6 86 | 85,213.5,43,33.8,21.7 87 | 86,193.2,18.4,65.7,15.2 88 | 87,76.3,27.5,16,12 89 | 88,110.7,40.6,63.2,16 90 | 89,88.3,25.5,73.4,12.9 91 | 90,109.8,47.8,51.4,16.7 92 | 91,134.3,4.9,9.3,11.2 93 | 92,28.6,1.5,33,7.3 94 | 93,217.7,33.5,59,19.4 95 | 94,250.9,36.5,72.3,22.2 96 | 95,107.4,14,10.9,11.5 97 | 96,163.3,31.6,52.9,16.9 98 | 97,197.6,3.5,5.9,11.7 99 | 98,184.9,21,22,15.5 100 | 99,289.7,42.3,51.2,25.4 101 | 100,135.2,41.7,45.9,17.2 102 | 101,222.4,4.3,49.8,11.7 103 | 102,296.4,36.3,100.9,23.8 104 | 103,280.2,10.1,21.4,14.8 105 | 104,187.9,17.2,17.9,14.7 106 | 105,238.2,34.3,5.3,20.7 107 | 106,137.9,46.4,59,19.2 108 | 107,25,11,29.7,7.2 109 | 108,90.4,0.3,23.2,8.7 110 | 109,13.1,0.4,25.6,5.3 111 | 110,255.4,26.9,5.5,19.8 112 | 111,225.8,8.2,56.5,13.4 113 | 112,241.7,38,23.2,21.8 114 | 113,175.7,15.4,2.4,14.1 115 | 114,209.6,20.6,10.7,15.9 116 | 115,78.2,46.8,34.5,14.6 117 | 116,75.1,35,52.7,12.6 118 | 117,139.2,14.3,25.6,12.2 119 | 118,76.4,0.8,14.8,9.4 120 | 119,125.7,36.9,79.2,15.9 121 | 120,19.4,16,22.3,6.6 122 | 121,141.3,26.8,46.2,15.5 123 | 122,18.8,21.7,50.4,7 124 | 123,224,2.4,15.6,11.6 125 | 124,123.1,34.6,12.4,15.2 126 | 125,229.5,32.3,74.2,19.7 127 | 126,87.2,11.8,25.9,10.6 128 | 127,7.8,38.9,50.6,6.6 129 | 128,80.2,0,9.2,8.8 130 | 129,220.3,49,3.2,24.7 131 | 130,59.6,12,43.1,9.7 132 | 131,0.7,39.6,8.7,1.6 133 | 132,265.2,2.9,43,12.7 134 | 133,8.4,27.2,2.1,5.7 135 | 134,219.8,33.5,45.1,19.6 136 | 135,36.9,38.6,65.6,10.8 137 | 136,48.3,47,8.5,11.6 138 | 137,25.6,39,9.3,9.5 139 | 138,273.7,28.9,59.7,20.8 140 | 139,43,25.9,20.5,9.6 141 | 140,184.9,43.9,1.7,20.7 142 | 141,73.4,17,12.9,10.9 143 | 142,193.7,35.4,75.6,19.2 144 | 143,220.5,33.2,37.9,20.1 145 | 144,104.6,5.7,34.4,10.4 146 | 145,96.2,14.8,38.9,11.4 147 | 146,140.3,1.9,9,10.3 148 | 147,240.1,7.3,8.7,13.2 149 | 148,243.2,49,44.3,25.4 150 | 149,38,40.3,11.9,10.9 151 | 150,44.7,25.8,20.6,10.1 152 | 151,280.7,13.9,37,16.1 153 | 152,121,8.4,48.7,11.6 154 | 153,197.6,23.3,14.2,16.6 155 | 154,171.3,39.7,37.7,19 156 | 155,187.8,21.1,9.5,15.6 157 | 156,4.1,11.6,5.7,3.2 158 | 157,93.9,43.5,50.5,15.3 159 | 158,149.8,1.3,24.3,10.1 160 | 159,11.7,36.9,45.2,7.3 161 | 160,131.7,18.4,34.6,12.9 162 | 161,172.5,18.1,30.7,14.4 163 | 162,85.7,35.8,49.3,13.3 164 | 163,188.4,18.1,25.6,14.9 165 | 164,163.5,36.8,7.4,18 166 | 165,117.2,14.7,5.4,11.9 167 | 166,234.5,3.4,84.8,11.9 168 | 167,17.9,37.6,21.6,8 169 | 168,206.8,5.2,19.4,12.2 170 | 169,215.4,23.6,57.6,17.1 171 | 170,284.3,10.6,6.4,15 172 | 171,50,11.6,18.4,8.4 173 | 172,164.5,20.9,47.4,14.5 174 | 173,19.6,20.1,17,7.6 175 | 174,168.4,7.1,12.8,11.7 176 | 175,222.4,3.4,13.1,11.5 177 | 176,276.9,48.9,41.8,27 178 | 177,248.4,30.2,20.3,20.2 179 | 178,170.2,7.8,35.2,11.7 180 | 179,276.7,2.3,23.7,11.8 181 | 180,165.6,10,17.6,12.6 182 | 181,156.6,2.6,8.3,10.5 183 | 182,218.5,5.4,27.4,12.2 184 | 183,56.2,5.7,29.7,8.7 185 | 184,287.6,43,71.8,26.2 186 | 185,253.8,21.3,30,17.6 187 | 186,205,45.1,19.6,22.6 188 | 187,139.5,2.1,26.6,10.3 189 | 188,191.1,28.7,18.2,17.3 190 | 189,286,13.9,3.7,15.9 191 | 190,18.7,12.1,23.4,6.7 192 | 191,39.5,41.1,5.8,10.8 193 | 192,75.5,10.8,6,9.9 194 | 193,17.2,4.1,31.6,5.9 195 | 194,166.8,42,3.6,19.6 196 | 195,149.7,35.6,6,17.3 197 | 196,38.2,3.7,13.8,7.6 198 | 197,94.2,4.9,8.1,9.7 199 | 198,177,9.3,6.4,12.8 200 | 199,283.6,42,66.2,25.5 201 | 200,232.1,8.6,8.7,13.4 202 | -------------------------------------------------------------------------------- /ml_2 dogrusal reg kuzenleri/Hitters.csv: -------------------------------------------------------------------------------- 1 | AtBat,Hits,HmRun,Runs,RBI,Walks,Years,CAtBat,CHits,CHmRun,CRuns,CRBI,CWalks,League,Division,PutOuts,Assists,Errors,Salary,NewLeague 2 | 293,66,1,30,29,14,1,293,66,1,30,29,14,A,E,446,33,20,NA,A 3 | 315,81,7,24,38,39,14,3449,835,69,321,414,375,N,W,632,43,10,475,N 4 | 479,130,18,66,72,76,3,1624,457,63,224,266,263,A,W,880,82,14,480,A 5 | 496,141,20,65,78,37,11,5628,1575,225,828,838,354,N,E,200,11,3,500,N 6 | 321,87,10,39,42,30,2,396,101,12,48,46,33,N,E,805,40,4,91.5,N 7 | 594,169,4,74,51,35,11,4408,1133,19,501,336,194,A,W,282,421,25,750,A 8 | 185,37,1,23,8,21,2,214,42,1,30,9,24,N,E,76,127,7,70,A 9 | 298,73,0,24,24,7,3,509,108,0,41,37,12,A,W,121,283,9,100,A 10 | 323,81,6,26,32,8,2,341,86,6,32,34,8,N,W,143,290,19,75,N 11 | 401,92,17,49,66,65,13,5206,1332,253,784,890,866,A,E,0,0,0,1100,A 12 | 574,159,21,107,75,59,10,4631,1300,90,702,504,488,A,E,238,445,22,517.143,A 13 | 202,53,4,31,26,27,9,1876,467,15,192,186,161,N,W,304,45,11,512.5,N 14 | 418,113,13,48,61,47,4,1512,392,41,205,204,203,N,E,211,11,7,550,N 15 | 239,60,0,30,11,22,6,1941,510,4,309,103,207,A,E,121,151,6,700,A 16 | 196,43,7,29,27,30,13,3231,825,36,376,290,238,N,E,80,45,8,240,N 17 | 183,39,3,20,15,11,3,201,42,3,20,16,11,A,W,118,0,0,NA,A 18 | 568,158,20,89,75,73,15,8068,2273,177,1045,993,732,N,W,105,290,10,775,N 19 | 190,46,2,24,8,15,5,479,102,5,65,23,39,A,W,102,177,16,175,A 20 | 407,104,6,57,43,65,12,5233,1478,100,643,658,653,A,W,912,88,9,NA,A 21 | 127,32,8,16,22,14,8,727,180,24,67,82,56,N,W,202,22,2,135,N 22 | 413,92,16,72,48,65,1,413,92,16,72,48,65,N,E,280,9,5,100,N 23 | 426,109,3,55,43,62,1,426,109,3,55,43,62,A,W,361,22,2,115,N 24 | 22,10,1,4,2,1,6,84,26,2,9,9,3,A,W,812,84,11,NA,A 25 | 472,116,16,60,62,74,6,1924,489,67,242,251,240,N,W,518,55,3,600,N 26 | 629,168,18,73,102,40,18,8424,2464,164,1008,1072,402,A,E,1067,157,14,776.667,A 27 | 587,163,4,92,51,70,6,2695,747,17,442,198,317,A,E,434,9,3,765,A 28 | 324,73,4,32,18,22,7,1931,491,13,291,108,180,N,E,222,3,3,708.333,N 29 | 474,129,10,50,56,40,10,2331,604,61,246,327,166,N,W,732,83,13,750,N 30 | 550,152,6,92,37,81,5,2308,633,32,349,182,308,N,W,262,329,16,625,N 31 | 513,137,20,90,95,90,14,5201,1382,166,763,734,784,A,W,267,5,3,900,A 32 | 313,84,9,42,30,39,17,6890,1833,224,1033,864,1087,A,W,127,221,7,NA,A 33 | 419,108,6,55,36,22,3,591,149,8,80,46,31,N,W,226,7,4,110,N 34 | 517,141,27,70,87,52,9,3571,994,215,545,652,337,N,W,1378,102,8,NA,N 35 | 583,168,17,83,80,56,5,1646,452,44,219,208,136,A,E,109,292,25,612.5,A 36 | 204,49,6,23,25,12,7,1309,308,27,126,132,66,A,W,419,46,5,300,A 37 | 379,106,10,38,60,30,14,6207,1906,146,859,803,571,N,W,72,170,24,850,N 38 | 161,36,0,19,10,17,4,1053,244,3,156,86,107,A,E,70,149,12,NA,A 39 | 268,60,5,24,25,15,2,350,78,5,34,29,18,N,W,442,59,6,90,N 40 | 346,98,5,31,53,30,16,5913,1615,235,784,901,560,A,E,0,0,0,NA,A 41 | 241,61,1,34,12,14,1,241,61,1,34,12,14,N,W,166,172,10,NA,N 42 | 181,41,1,15,21,33,2,232,50,4,20,29,45,A,E,326,29,5,67.5,A 43 | 216,54,0,21,18,15,18,7318,1926,46,796,627,483,N,W,103,84,5,NA,N 44 | 200,57,6,23,14,14,9,2516,684,46,371,230,195,N,W,69,1,1,NA,N 45 | 217,46,7,32,19,9,4,694,160,32,86,76,32,A,E,307,25,1,180,A 46 | 194,40,7,19,29,30,11,4183,1069,64,486,493,608,A,E,325,22,2,NA,A 47 | 254,68,2,28,26,22,6,999,236,21,108,117,118,A,E,359,30,4,305,A 48 | 416,132,7,57,49,33,3,932,273,24,113,121,80,N,W,73,177,18,215,N 49 | 205,57,8,34,32,9,5,756,192,32,117,107,51,A,E,58,4,4,247.5,A 50 | 542,140,12,46,75,41,16,7099,2130,235,987,1089,431,A,E,697,61,9,NA,A 51 | 526,146,13,71,70,84,6,2648,715,77,352,342,289,N,W,303,9,9,815,N 52 | 457,101,14,42,63,22,17,6521,1767,281,1003,977,619,A,W,389,39,4,875,A 53 | 214,53,2,30,29,23,2,226,59,2,32,32,27,N,E,109,7,3,70,N 54 | 19,7,0,1,2,1,4,41,13,1,3,4,4,A,E,0,0,0,NA,A 55 | 591,168,19,80,72,39,9,4478,1307,113,634,563,319,A,W,67,147,4,1200,A 56 | 403,101,12,45,53,39,12,5150,1429,166,747,666,526,A,E,316,6,5,675,A 57 | 405,102,18,49,85,20,6,950,231,29,99,138,64,N,W,161,10,3,415,N 58 | 244,58,9,28,25,35,4,1335,333,49,164,179,194,N,W,142,14,2,340,N 59 | 235,61,3,24,39,21,14,3926,1029,35,441,401,333,A,E,425,43,4,NA,A 60 | 313,78,6,32,41,12,12,3742,968,35,409,321,170,N,W,106,206,7,416.667,N 61 | 627,177,25,98,81,70,6,3210,927,133,529,472,313,A,E,240,482,13,1350,A 62 | 416,113,24,58,69,16,1,416,113,24,58,69,16,A,E,203,70,10,90,A 63 | 155,44,6,21,23,15,16,6631,1634,98,698,661,777,N,E,53,88,3,275,N 64 | 236,56,0,27,15,11,4,1115,270,1,116,64,57,A,W,125,199,13,230,A 65 | 216,53,1,31,15,22,4,926,210,9,118,69,114,N,W,73,152,11,225,N 66 | 24,3,0,1,0,2,3,159,28,0,20,12,9,A,W,80,4,0,NA,A 67 | 585,139,31,93,94,62,17,7546,1982,315,1141,1179,727,A,E,0,0,0,950,A 68 | 191,37,4,12,17,14,4,773,163,16,61,74,52,N,E,391,38,8,NA,N 69 | 199,53,5,29,22,21,3,514,120,8,57,40,39,A,W,152,3,5,75,A 70 | 521,142,20,67,86,45,4,815,205,22,99,103,78,A,E,107,242,23,105,A 71 | 419,113,1,44,27,44,12,4484,1231,32,612,344,422,A,E,211,2,1,NA,A 72 | 311,81,3,42,30,26,17,8247,2198,100,950,909,690,N,W,153,223,10,320,N 73 | 138,31,8,18,21,38,3,244,53,12,33,32,55,N,E,244,21,4,NA,N 74 | 512,131,26,69,96,52,14,5347,1397,221,712,815,548,A,W,119,216,12,850,A 75 | 507,122,29,78,85,91,18,7761,1947,347,1175,1152,1380,A,E,808,108,2,535,A 76 | 529,137,26,86,97,97,15,6661,1785,291,1082,949,989,A,E,280,10,5,933.333,A 77 | 424,119,6,57,46,13,9,3651,1046,32,461,301,112,A,E,224,286,8,850,N 78 | 351,97,4,55,29,39,4,1258,353,16,196,110,117,N,W,226,7,3,210,A 79 | 195,55,5,24,33,30,8,1313,338,25,144,149,153,N,E,83,2,1,NA,N 80 | 388,103,15,59,47,39,6,2174,555,80,285,274,186,A,W,182,9,4,325,A 81 | 339,96,4,37,29,23,4,1064,290,11,123,108,55,A,W,104,213,9,275,A 82 | 561,118,35,70,94,33,16,6677,1575,442,901,1210,608,A,W,463,32,8,NA,A 83 | 255,70,7,49,35,43,15,6311,1661,154,1019,608,820,N,E,51,54,8,450,N 84 | 677,238,31,117,113,53,5,2223,737,93,349,401,171,A,E,1377,100,6,1975,A 85 | 227,46,7,23,20,12,5,1325,324,44,156,158,67,A,W,92,2,2,NA,A 86 | 614,163,29,89,83,75,11,5017,1388,266,813,822,617,N,W,303,6,6,1900,N 87 | 329,83,9,50,39,56,9,3828,948,145,575,528,635,A,W,276,6,2,600,A 88 | 637,174,31,89,116,56,14,6727,2024,247,978,1093,495,N,W,278,9,9,1041.667,N 89 | 280,82,16,44,45,47,2,428,113,25,61,70,63,A,E,148,4,2,110,A 90 | 155,41,12,21,29,22,16,5409,1338,181,746,805,875,A,W,165,9,1,260,A 91 | 458,114,13,67,57,48,4,1350,298,28,160,123,122,A,W,246,389,18,475,A 92 | 314,83,13,39,46,16,5,1457,405,28,156,159,76,A,W,533,40,4,431.5,A 93 | 475,123,27,76,93,72,4,1810,471,108,292,343,267,N,E,226,10,6,1220,N 94 | 317,78,7,35,35,32,1,317,78,7,35,35,32,A,E,45,122,26,70,A 95 | 511,138,25,76,96,61,3,592,164,28,87,110,71,A,W,157,7,8,145,A 96 | 278,69,3,24,21,29,8,2079,565,32,258,192,162,N,W,142,210,10,NA,N 97 | 382,119,13,54,58,36,12,2133,594,41,287,294,227,N,W,59,156,9,595,N 98 | 565,148,24,90,104,77,14,7287,2083,305,1135,1234,791,A,E,292,9,5,1861.46,A 99 | 277,71,2,27,29,14,15,5952,1647,60,753,596,259,N,W,360,32,5,NA,N 100 | 415,115,27,97,71,68,3,711,184,45,156,119,99,N,W,274,2,7,300,N 101 | 424,110,15,70,47,36,7,2130,544,38,335,174,258,N,W,292,6,3,490,N 102 | 495,151,17,61,84,78,10,5624,1679,275,884,1015,709,A,E,1045,88,13,2460,A 103 | 524,132,9,69,47,54,2,972,260,14,123,92,90,A,E,212,327,20,NA,A 104 | 233,49,2,41,23,18,8,1350,336,7,166,122,106,A,E,102,132,10,375,A 105 | 395,106,16,48,56,35,10,2303,571,86,266,323,248,A,E,709,41,7,NA,A 106 | 397,114,23,67,67,53,13,5589,1632,241,906,926,716,A,E,244,2,4,NA,A 107 | 210,37,8,15,19,15,6,994,244,36,107,114,53,A,E,40,115,15,NA,A 108 | 420,95,23,55,58,37,3,646,139,31,77,77,61,N,W,206,10,7,NA,N 109 | 566,154,22,76,84,43,14,6100,1583,131,743,693,300,A,W,316,439,10,750,A 110 | 641,198,31,101,108,41,5,2129,610,92,297,319,117,A,E,269,17,10,1175,A 111 | 215,51,4,19,18,11,1,215,51,4,19,18,11,A,E,116,5,12,70,A 112 | 441,128,16,70,73,80,14,6675,2095,209,1072,1050,695,A,W,97,218,16,1500,A 113 | 325,76,16,33,52,37,5,1506,351,71,195,219,214,N,W,726,87,3,385,A 114 | 490,125,24,81,105,62,13,6063,1646,271,847,999,680,N,E,869,62,8,1925.571,N 115 | 574,152,31,91,101,64,3,985,260,53,148,173,95,N,W,1253,111,11,215,N 116 | 284,64,14,30,42,24,18,7023,1925,348,986,1239,666,N,E,96,4,4,NA,N 117 | 596,171,34,91,108,52,6,2862,728,107,361,401,224,A,W,118,334,21,900,A 118 | 472,118,12,63,54,30,4,793,187,14,102,80,50,A,W,228,377,26,155,A 119 | 283,77,14,45,47,26,16,6840,1910,259,915,1067,546,A,W,144,6,5,700,A 120 | 408,94,4,42,36,66,9,3573,866,59,429,365,410,N,W,282,487,19,535,N 121 | 327,85,3,30,44,20,8,2140,568,16,216,208,93,A,E,91,185,12,362.5,A 122 | 370,96,21,49,46,60,15,6986,1972,231,1070,955,921,N,E,137,5,9,733.333,N 123 | 354,77,16,36,55,41,20,8716,2172,384,1172,1267,1057,N,W,83,174,16,200,N 124 | 539,139,5,93,58,69,5,1469,369,12,247,126,198,A,W,462,9,7,400,A 125 | 340,84,11,62,33,47,5,1516,376,42,284,141,219,N,E,185,8,4,400,A 126 | 510,126,2,42,44,35,11,5562,1578,44,703,519,256,N,W,207,358,20,737.5,N 127 | 315,59,16,45,36,58,13,4677,1051,268,681,782,697,A,W,0,0,0,NA,A 128 | 282,78,13,37,51,29,5,1649,453,73,211,280,138,A,W,670,57,5,500,A 129 | 380,120,5,54,51,31,8,3118,900,92,444,419,240,A,W,237,8,1,600,A 130 | 584,158,15,70,84,42,5,2358,636,58,265,316,134,N,E,331,20,4,662.5,N 131 | 570,169,21,72,88,38,7,3754,1077,140,492,589,263,A,W,295,15,5,950,A 132 | 306,104,14,50,58,25,7,2954,822,55,313,377,187,N,E,116,222,15,750,N 133 | 220,54,10,30,39,31,5,1185,299,40,145,154,128,N,E,50,136,20,297.5,N 134 | 278,70,7,22,37,18,18,7186,2081,190,935,1088,643,A,W,0,0,0,325,A 135 | 445,99,1,46,24,29,4,618,129,1,72,31,48,A,W,278,415,16,87.5,A 136 | 143,39,5,18,30,15,9,639,151,16,80,97,61,N,W,138,15,1,175,N 137 | 185,40,4,23,11,18,3,524,125,7,58,37,47,N,E,97,2,2,90,N 138 | 589,170,40,107,108,69,6,2325,634,128,371,376,238,A,E,368,20,3,1237.5,A 139 | 343,103,6,48,36,40,15,4338,1193,70,581,421,325,A,E,211,56,13,430,A 140 | 284,69,1,33,18,25,5,1407,361,6,139,98,111,A,E,122,140,5,NA,N 141 | 438,103,2,65,32,71,2,440,103,2,67,32,71,A,W,276,7,9,100,N 142 | 600,144,33,85,117,65,2,696,173,38,101,130,69,A,W,319,4,14,165,A 143 | 663,200,29,108,121,32,4,1447,404,57,210,222,68,A,E,241,8,6,250,A 144 | 232,55,9,34,23,45,12,4405,1213,194,702,705,625,N,E,623,35,3,1300,N 145 | 479,133,10,48,72,55,17,7472,2147,153,980,1032,854,N,W,237,5,4,773.333,N 146 | 209,45,0,38,19,42,10,3859,916,23,557,279,478,A,W,132,205,5,NA,A 147 | 528,132,21,61,74,41,6,2641,671,97,273,383,226,N,E,885,105,8,1008.333,N 148 | 160,39,8,18,31,22,14,2128,543,56,304,268,298,A,E,33,3,0,275,A 149 | 599,183,10,80,74,32,5,2482,715,27,330,326,158,A,E,231,374,18,775,A 150 | 497,136,7,58,38,26,11,3871,1066,40,450,367,241,A,E,304,347,10,850,A 151 | 210,70,13,32,51,28,15,4040,1130,97,544,462,551,A,E,0,0,0,365,A 152 | 225,61,5,32,26,26,11,1568,408,25,202,185,257,A,W,132,9,0,NA,A 153 | 151,41,4,26,21,19,2,288,68,9,45,39,35,A,W,28,56,2,95,A 154 | 278,86,4,33,38,45,1,278,86,4,33,38,45,N,W,102,4,2,110,N 155 | 341,95,6,48,42,20,10,2964,808,81,379,428,221,N,W,158,4,5,100,N 156 | 537,147,23,58,88,47,10,2744,730,97,302,351,174,N,E,92,257,20,277.5,N 157 | 399,102,3,56,34,34,5,670,167,4,89,48,54,A,W,211,9,3,80,A 158 | 309,94,5,37,32,26,13,4618,1330,57,616,522,436,N,E,161,3,3,600,N 159 | 401,100,2,60,19,28,4,876,238,2,126,44,55,N,E,193,11,4,NA,N 160 | 336,93,9,35,46,23,15,5779,1610,128,730,741,497,A,W,0,0,0,NA,A 161 | 616,163,27,83,107,32,3,1437,377,65,181,227,82,A,W,110,308,15,200,A 162 | 219,47,8,24,26,17,12,1188,286,23,100,125,63,A,W,260,58,4,NA,A 163 | 579,174,7,67,78,58,6,3053,880,32,366,337,218,N,E,280,479,5,657,N 164 | 165,39,2,13,9,16,3,196,44,2,18,10,18,A,W,332,19,2,75,N 165 | 618,200,20,98,110,62,13,7127,2163,351,1104,1289,564,A,E,330,16,8,2412.5,A 166 | 257,66,5,31,26,32,14,3910,979,33,518,324,382,N,W,87,166,14,250,A 167 | 315,76,13,35,60,25,3,630,151,24,68,94,55,N,E,498,39,13,155,N 168 | 591,157,16,90,78,26,4,2020,541,52,310,226,91,N,E,290,440,25,640,N 169 | 404,92,11,54,49,18,6,1354,325,30,188,135,63,A,E,222,5,5,300,A 170 | 315,73,5,23,37,16,4,450,108,6,38,46,28,A,W,227,15,3,110,A 171 | 249,69,6,32,19,20,4,702,209,10,97,48,44,N,E,103,8,2,NA,N 172 | 429,91,12,41,42,57,13,5590,1397,83,578,579,644,A,W,686,46,4,825,N 173 | 212,54,13,28,44,18,2,233,59,13,31,46,20,A,E,243,23,5,NA,A 174 | 453,101,3,46,43,61,3,948,218,6,96,72,91,N,W,249,444,16,195,N 175 | 161,43,4,17,26,22,3,707,179,21,77,99,76,A,W,300,12,2,NA,A 176 | 184,47,5,20,28,18,11,3327,890,74,419,382,304,N,W,49,2,0,450,N 177 | 591,184,20,83,79,38,5,1689,462,40,219,195,82,N,W,303,12,5,630,N 178 | 181,58,6,34,23,22,1,181,58,6,34,23,22,N,W,88,0,3,86.5,N 179 | 441,118,28,84,86,68,8,2723,750,126,433,420,309,A,E,190,2,2,1300,A 180 | 490,150,21,69,58,35,14,6126,1839,121,983,707,600,A,E,96,5,3,1000,N 181 | 551,171,13,94,83,94,13,6090,1840,128,969,900,917,N,E,1199,149,5,1800,N 182 | 550,147,29,85,91,71,6,2816,815,117,405,474,319,A,W,1218,104,10,1310,A 183 | 283,74,4,34,29,22,10,3919,1062,85,505,456,283,N,W,145,5,7,737.5,N 184 | 560,161,26,89,96,66,4,1789,470,65,233,260,155,N,W,332,9,8,625,N 185 | 328,91,12,51,43,33,2,342,94,12,51,44,33,N,E,145,59,8,125,N 186 | 586,159,12,72,79,53,9,3082,880,83,363,477,295,N,E,181,13,4,1043.333,N 187 | 503,136,5,62,48,83,10,3423,970,20,408,303,414,N,W,65,258,8,725,N 188 | 344,85,24,69,64,88,7,911,214,64,150,156,187,A,W,0,0,0,300,A 189 | 680,223,31,119,96,34,3,1928,587,35,262,201,91,A,W,429,8,6,365,A 190 | 279,64,0,31,26,30,1,279,64,0,31,26,30,N,W,107,205,16,75,N 191 | 484,127,20,66,65,67,7,3006,844,116,436,458,377,N,E,1231,80,7,1183.333,N 192 | 431,127,8,77,45,58,2,667,187,9,117,64,88,N,E,283,8,3,202.5,N 193 | 283,70,8,33,37,27,12,4479,1222,94,557,483,307,A,E,156,2,2,225,A 194 | 491,141,11,77,47,37,15,4291,1240,84,615,430,340,A,E,239,8,2,525,A 195 | 199,52,9,26,28,21,6,805,191,30,113,119,87,N,W,235,22,5,265,N 196 | 589,149,21,89,86,64,7,3558,928,102,513,471,351,A,E,371,6,6,787.5,A 197 | 327,84,22,53,62,38,10,4273,1123,212,577,700,334,A,E,483,48,6,800,N 198 | 464,128,28,67,94,52,13,5829,1552,210,740,840,452,A,W,0,0,0,587.5,A 199 | 166,34,0,20,13,17,1,166,34,0,20,13,17,N,E,64,119,9,NA,N 200 | 338,92,18,42,60,21,3,682,185,36,88,112,50,A,E,0,0,0,145,A 201 | 508,146,8,80,44,46,9,3148,915,41,571,289,326,A,W,245,5,9,NA,A 202 | 584,157,20,95,73,63,10,4704,1320,93,724,522,576,A,E,276,421,11,420,A 203 | 216,54,2,27,25,33,1,216,54,2,27,25,33,N,W,317,36,1,75,N 204 | 625,179,4,94,60,65,5,1696,476,12,216,163,166,A,E,303,450,14,575,A 205 | 243,53,4,18,26,27,4,853,228,23,101,110,76,N,E,107,3,3,NA,N 206 | 489,131,19,77,55,34,7,2051,549,62,300,263,153,A,W,310,9,9,780,A 207 | 209,56,12,22,36,19,2,216,58,12,24,37,19,N,E,201,6,3,90,N 208 | 407,93,8,47,30,30,2,969,230,14,121,69,68,N,W,172,317,25,150,N 209 | 490,148,14,64,78,49,13,3400,1000,113,445,491,301,A,E,0,0,0,700,N 210 | 209,59,6,20,37,27,4,884,209,14,66,106,92,N,E,415,35,3,NA,N 211 | 442,131,18,68,77,33,6,1416,398,47,210,203,136,A,E,233,7,7,550,A 212 | 317,88,3,40,32,19,8,2543,715,28,269,270,118,A,W,220,16,4,NA,A 213 | 288,65,8,30,36,27,9,2815,698,55,315,325,189,N,E,259,30,10,650,A 214 | 209,54,3,25,14,12,1,209,54,3,25,14,12,A,W,102,6,3,68,A 215 | 303,71,3,18,30,36,3,344,76,3,20,36,45,N,E,468,47,6,100,N 216 | 330,77,19,47,53,27,6,1928,516,90,247,288,161,N,W,149,8,6,670,N 217 | 504,120,28,71,71,54,3,1085,259,54,150,167,114,A,E,103,283,19,175,A 218 | 258,60,8,28,33,18,3,638,170,17,80,75,36,A,W,358,32,8,137,A 219 | 20,1,0,0,0,0,2,41,9,2,6,7,4,N,E,78,220,6,2127.333,N 220 | 374,94,5,36,26,62,7,1968,519,26,181,199,288,N,W,756,64,15,875,N 221 | 211,43,10,26,35,39,3,498,116,14,59,55,78,A,W,463,32,8,120,A 222 | 299,75,6,38,23,26,3,580,160,8,71,33,44,N,E,212,1,2,140,N 223 | 576,167,8,89,49,57,4,822,232,19,132,83,79,N,E,325,12,8,210,N 224 | 381,110,9,61,45,32,7,3015,834,40,451,249,168,N,E,228,7,5,800,N 225 | 288,76,7,34,37,15,4,1644,408,16,198,120,113,N,W,203,3,3,240,N 226 | 369,93,9,43,42,49,5,1258,323,54,181,177,157,A,E,149,1,6,350,A 227 | 330,76,12,35,41,47,4,1367,326,55,167,198,167,N,W,512,30,5,NA,N 228 | 547,137,2,58,47,12,2,1038,271,3,129,80,24,A,W,261,459,22,175,A 229 | 572,152,18,105,49,65,2,978,249,36,168,91,101,A,W,325,13,3,200,A 230 | 359,84,4,46,27,21,12,4992,1257,37,699,386,387,N,W,151,8,5,NA,N 231 | 514,144,0,67,54,79,9,4739,1169,13,583,374,528,N,E,229,453,15,1940,N 232 | 359,80,15,45,48,63,7,1493,359,61,176,202,175,N,W,682,93,13,700,N 233 | 526,163,12,88,50,77,4,1556,470,38,245,167,174,A,W,250,11,1,750,A 234 | 313,83,9,43,41,30,14,5885,1543,104,751,714,535,N,W,58,141,23,450,N 235 | 540,135,30,82,88,55,1,540,135,30,82,88,55,A,W,157,6,14,172,A 236 | 437,123,9,62,55,40,9,4139,1203,79,676,390,364,A,E,82,170,15,1260,A 237 | 551,160,23,86,90,87,5,2235,602,75,278,328,273,A,W,1224,115,11,NA,A 238 | 237,52,0,15,25,30,24,14053,4256,160,2165,1314,1566,N,W,523,43,6,750,N 239 | 236,56,6,41,19,21,5,1257,329,24,166,125,105,A,E,172,1,4,190,A 240 | 473,154,6,61,48,29,6,1966,566,29,250,252,178,A,E,846,84,9,580,A 241 | 309,72,0,33,31,26,5,354,82,0,41,32,26,N,E,117,269,12,130,N 242 | 271,77,5,35,29,33,12,4933,1358,48,630,435,403,A,W,62,90,3,450,A 243 | 357,96,7,50,45,39,5,1394,344,43,178,192,136,A,W,167,2,4,300,A 244 | 216,56,4,22,18,15,12,2796,665,43,266,304,198,A,E,391,44,4,250,A 245 | 256,70,13,42,36,44,16,7058,1845,312,965,1128,990,N,E,41,118,8,1050,A 246 | 466,108,33,75,86,72,3,652,142,44,102,109,102,A,E,286,8,8,215,A 247 | 327,68,13,42,29,45,18,3949,939,78,438,380,466,A,E,659,53,7,400,A 248 | 462,119,16,49,65,37,7,2131,583,69,244,288,150,A,E,866,65,6,NA,A 249 | 341,110,9,45,49,46,9,2331,658,50,249,322,274,A,E,251,9,4,560,A 250 | 608,160,28,130,74,89,8,4071,1182,103,862,417,708,A,E,426,4,6,1670,A 251 | 419,101,18,65,58,92,20,9528,2510,548,1509,1659,1342,A,W,0,0,0,487.5,A 252 | 33,6,0,2,4,7,1,33,6,0,2,4,7,A,W,205,5,4,NA,A 253 | 376,82,21,42,60,35,5,1770,408,115,238,299,157,A,W,0,0,0,425,A 254 | 486,145,11,51,76,40,11,3967,1102,67,410,497,284,N,E,88,204,16,500,A 255 | 186,44,7,28,16,11,1,186,44,7,28,16,11,N,W,99,3,1,NA,N 256 | 307,80,1,42,36,29,7,2421,656,18,379,198,184,A,W,145,2,2,NA,A 257 | 246,76,5,35,39,13,6,912,234,12,102,96,80,A,E,44,0,1,250,A 258 | 205,52,8,31,27,17,12,5134,1323,56,643,445,459,A,E,155,3,2,400,A 259 | 348,90,11,50,45,43,10,2288,614,43,295,273,269,A,E,60,176,6,450,A 260 | 523,135,8,52,44,52,9,3368,895,39,377,284,296,N,W,367,475,19,750,N 261 | 312,68,2,32,22,24,1,312,68,2,32,22,24,A,E,86,150,15,70,A 262 | 496,119,8,57,33,21,7,3358,882,36,365,280,165,N,W,155,371,29,875,N 263 | 126,27,3,8,10,5,4,239,49,3,16,13,14,N,E,190,2,9,190,N 264 | 275,68,5,42,42,61,6,961,238,16,128,104,172,N,E,181,3,2,191,N 265 | 627,178,14,68,76,46,6,3146,902,74,494,345,242,N,E,309,492,5,740,N 266 | 394,86,1,38,28,36,4,1089,267,3,94,71,76,N,E,203,369,16,250,N 267 | 208,57,8,32,25,18,3,653,170,17,98,54,62,N,E,42,94,13,140,N 268 | 382,101,16,50,55,22,1,382,101,16,50,55,22,A,W,200,7,6,97.5,A 269 | 459,113,20,59,57,68,12,5348,1369,155,713,660,735,A,W,0,0,0,740,A 270 | 549,149,7,73,47,42,1,549,149,7,73,47,42,N,W,255,450,17,140,N 271 | 288,63,3,25,33,16,10,2682,667,38,315,259,204,A,W,135,257,7,341.667,A 272 | 303,84,4,35,32,23,2,312,87,4,39,32,23,N,W,179,5,3,NA,N 273 | 522,163,9,82,46,62,13,7037,2019,153,1043,827,535,A,E,352,9,1,1000,A 274 | 512,117,29,54,88,43,6,1750,412,100,204,276,155,A,W,1236,98,18,100,A 275 | 220,66,5,20,28,13,3,290,80,5,27,31,15,A,W,281,21,3,90,A 276 | 522,140,16,73,77,60,4,730,185,22,93,106,86,N,E,1320,166,17,200,N 277 | 461,112,18,54,54,35,2,680,160,24,76,75,49,A,W,111,226,11,135,A 278 | 581,145,17,66,68,21,2,831,210,21,106,86,40,N,E,320,465,32,155,N 279 | 530,159,3,82,50,47,6,1619,426,11,218,149,163,A,W,196,354,15,475,A 280 | 557,142,21,58,81,23,18,8759,2583,271,1138,1299,478,N,W,1160,53,7,1450,N 281 | 439,96,0,44,36,65,4,711,148,1,68,56,99,N,E,229,406,22,150,N 282 | 453,103,8,53,33,52,2,507,123,8,63,39,58,A,W,289,407,6,105,A 283 | 528,122,1,67,45,51,4,1716,403,12,211,146,155,A,W,209,372,17,350,A 284 | 633,210,6,91,56,59,6,3070,872,19,420,230,274,N,W,367,432,16,90,N 285 | 16,2,0,1,0,0,2,28,4,0,1,0,0,A,E,247,4,8,NA,A 286 | 562,169,17,88,73,53,8,3181,841,61,450,342,373,A,E,351,442,17,530,A 287 | 281,76,3,42,25,20,8,2658,657,48,324,300,179,A,E,106,144,7,341.667,A 288 | 593,152,23,69,75,53,6,2765,686,133,369,384,321,A,W,315,10,6,940,A 289 | 687,213,10,91,65,27,4,1518,448,15,196,137,89,A,E,294,445,13,350,A 290 | 368,103,3,48,28,54,8,1897,493,9,207,162,198,N,W,209,246,3,326.667,N 291 | 263,70,1,26,23,30,4,888,220,9,83,82,86,N,E,81,147,4,250,N 292 | 642,211,14,107,59,52,5,2364,770,27,352,230,193,N,W,337,19,4,740,N 293 | 265,68,8,26,30,29,7,1337,339,32,135,163,128,N,W,92,5,3,425,A 294 | 289,63,7,36,41,44,17,7402,1954,195,1115,919,1153,A,W,166,211,7,NA,A 295 | 559,141,2,48,61,73,8,3162,874,16,421,349,359,N,E,352,414,9,925,N 296 | 520,120,17,53,44,21,4,927,227,22,106,80,52,A,W,70,144,11,185,A 297 | 19,4,1,2,3,1,1,19,4,1,2,3,1,N,W,692,70,8,920,A 298 | 205,43,2,24,17,20,7,854,219,12,105,99,71,N,E,131,6,1,286.667,N 299 | 193,47,10,21,29,24,6,1136,256,42,129,139,106,A,W,299,13,5,245,A 300 | 181,46,1,19,18,17,5,937,238,9,88,95,104,A,E,37,98,9,NA,A 301 | 213,61,4,17,22,3,17,4061,1145,83,488,491,244,A,W,178,45,4,235,A 302 | 510,147,10,56,52,53,7,2872,821,63,307,340,174,N,E,810,99,18,1150,N 303 | 578,138,1,56,59,34,3,1399,357,7,149,161,87,N,E,133,371,20,160,N 304 | 200,51,2,14,29,25,23,9778,2732,379,1272,1652,925,N,W,398,29,7,NA,N 305 | 441,113,5,76,52,76,5,1546,397,17,226,149,191,A,W,160,290,11,425,A 306 | 172,42,3,17,14,15,10,4086,1150,57,579,363,406,N,W,65,0,0,900,N 307 | 580,194,9,91,62,78,8,3372,1028,48,604,314,469,N,E,270,13,6,NA,N 308 | 127,32,4,14,25,12,19,8396,2402,242,1048,1348,819,N,W,167,18,6,500,N 309 | 279,69,4,35,31,32,4,1359,355,31,180,148,158,N,E,133,173,9,277.5,N 310 | 480,112,18,50,71,44,7,3031,771,110,338,406,239,N,E,94,270,16,750,N 311 | 600,139,0,94,29,60,2,1236,309,1,201,69,110,N,E,300,12,9,160,N 312 | 610,186,19,107,98,74,6,2728,753,69,399,366,286,N,E,1182,96,13,1300,N 313 | 360,81,5,37,44,37,7,2268,566,41,279,257,246,N,E,170,284,3,525,N 314 | 387,124,1,67,27,36,7,1775,506,6,272,125,194,N,E,186,290,17,550,N 315 | 580,207,8,107,71,105,5,2778,978,32,474,322,417,A,E,121,267,19,1600,A 316 | 408,117,11,66,41,34,1,408,117,11,66,41,34,N,W,942,72,11,120,N 317 | 593,172,22,82,100,57,1,593,172,22,82,100,57,A,W,1222,139,15,165,A 318 | 221,53,2,21,23,22,8,1063,283,15,107,124,106,N,E,325,58,6,NA,N 319 | 497,127,7,65,48,37,5,2703,806,32,379,311,138,N,E,325,9,3,700,N 320 | 492,136,5,76,50,94,12,5511,1511,39,897,451,875,A,E,313,381,20,875,A 321 | 475,126,3,61,43,52,6,1700,433,7,217,93,146,A,W,37,113,7,385,A 322 | 573,144,9,85,60,78,8,3198,857,97,470,420,332,A,E,1314,131,12,960,A 323 | 631,170,9,77,44,31,11,4908,1457,30,775,357,249,A,W,408,4,3,1000,A 324 | -------------------------------------------------------------------------------- /py programlama/python_programlama.py: -------------------------------------------------------------------------------- 1 | #SAYILAR VE STRINGLERE GIRIS 2 | 9 3 | 9.2 4 | 9+9 5 | 9*9 6 | 7 | print('HELLO AI ERA') 8 | "HELLO AI ERA" 9 | 10 | type(9) 11 | type(9.2) 12 | type("HELLO AI ERA") 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | #STRINGLERE YAKINDAN BAKALIM 33 | 34 | "" 35 | '' 36 | 37 | 123 38 | type(123) 39 | "123" 40 | type("123") 41 | 42 | "a" + "b" 43 | "a" " b" 44 | "a" + "-b" 45 | 46 | "a" - "b" 47 | 48 | "a "*3 49 | "a"/3 50 | 51 | #STRING METODLARI - len() 52 | 53 | gel_yaz = "gelecegi_yazanlar" 54 | #del mvk 55 | 56 | a = 9 57 | b = 10 58 | 59 | a*b 60 | 61 | 62 | len(gel_yaz) 63 | len("gelecegi_yazanlar") 64 | 65 | #STRING METODLARI - upper() & lower() 66 | 67 | gel_yaz = "gelecegi_yazanlar" 68 | 69 | gel_yaz.upper() 70 | gel_yaz.lower() 71 | 72 | gel_yaz.islower() 73 | B = gel_yaz.upper() 74 | 75 | B.islower() 76 | B.isupper() 77 | 78 | #STRING METODLARI - replace() 79 | 80 | gel_yaz = "gelecegi_yazanlar" 81 | 82 | gel_yaz.replace("e","a") 83 | 84 | gel_yaz.replace("a","i") 85 | 86 | #STRING METODLARI - strip() 87 | 88 | gel_yaz = " gelecegi_yazanlar " 89 | gel_yaz.strip() 90 | 91 | gel_yaz = "*gelecegi_yazanlar*" 92 | gel_yaz.strip("*") 93 | 94 | gel_yaz = "lgelecegi_yazanlarl" 95 | gel_yaz.strip("l") 96 | 97 | #METODLARA GENEL BAKIS 98 | 99 | gel_yaz = "gelecegi_yazanlar" 100 | 101 | dir(gel_yaz) 102 | 103 | gel_yaz.capitalize() 104 | gel_yaz.title() 105 | 106 | 107 | #SUBSTRINGLER 108 | 109 | gel_yaz = "gelecegi_yazanlar" 110 | 111 | gel_yaz[1] 112 | 113 | gel_yaz[20] 114 | 115 | gel_yaz[0:3] 116 | 117 | #DEGISKENLER 118 | 119 | a = 9 120 | b = "ali_uzaya_git" 121 | c = a*2 122 | 123 | 124 | a/c 125 | a*c 126 | a*5 127 | 128 | type(100) 129 | type(100.2) 130 | type(1+2j) 131 | 132 | a = 100.2 133 | 134 | #TYPE_DONUSUMLERI 135 | 136 | toplama_bir = input() 137 | toplama_iki = input() 138 | 139 | type(toplama_bir) 140 | 141 | toplama_bir + toplama_iki 142 | 143 | int(toplama_bir) + int(toplama_iki) 144 | 145 | int(11.0) 146 | 147 | 12 148 | 149 | float(12) 150 | 151 | type(str(12)) 152 | 153 | #print() 154 | 155 | print("HELLO AI ERA") 156 | 157 | print("gelecegi","yazanlar") 158 | 159 | print("gelecegi","yazanlar", sep = "_") 160 | 161 | print() 162 | 163 | type() 164 | 165 | print() 166 | 167 | #?print 168 | 169 | #VERI YAPILARI 170 | 171 | #Listeler 172 | 173 | #[] 174 | #list() 175 | 176 | notlar = [90,80,70,50] 177 | type(notlar) 178 | 179 | liste = ["a",19.3,90] 180 | list_genis = ["a",19.3,90, notlar] 181 | 182 | len(list_genis) 183 | 184 | list_genis[0] 185 | list_genis[1] 186 | list_genis[3] 187 | 188 | type(list_genis[3]) 189 | 190 | tum_liste = [liste, list_genis] 191 | 192 | #del tum_liste 193 | 194 | #Listeler - Eleman Islemleri 195 | 196 | 197 | liste = [10,20,30,40,50] 198 | 199 | liste[0] 200 | liste[1] 201 | 202 | liste[6] 203 | 204 | liste[0:2] 205 | 206 | liste[:2] 207 | 208 | liste[2:] 209 | 210 | yeni_liste = ["a",10,[20,30,40,50]] 211 | yeni_liste 212 | 213 | yeni_liste[2] 214 | 215 | yeni_liste[0:2] 216 | 217 | yeni_liste[2][1] 218 | 219 | #Listeler - Eleman Degistirme 220 | 221 | liste = ["ali","veli","berkcan","ayse"] 222 | liste 223 | 224 | liste[1] = "velinin_babasi" 225 | 226 | liste 227 | 228 | liste[1] = "veli" 229 | 230 | liste[0:3] = "alinin_babasi","velinin_babasi","berkcanin_babasi" 231 | 232 | liste 233 | 234 | liste = ["ali","veli","berkcan","ayse"] 235 | liste 236 | 237 | liste = liste + ["kemal"] 238 | liste 239 | 240 | #del liste[2] 241 | liste 242 | 243 | #Listeler - Liste Metodları 244 | 245 | liste = ["ali","veli","isik"] 246 | 247 | dir(liste) 248 | 249 | liste 250 | 251 | #append & remove 252 | 253 | liste.append("berkcan") 254 | 255 | liste 256 | 257 | liste.remove("berkcan") 258 | liste 259 | 260 | # insert 261 | 262 | liste = ["ali","veli","isik"] 263 | 264 | liste 265 | 266 | liste.insert(0,"ayse") 267 | 268 | liste 269 | 270 | liste = ["ali","veli","isik"] 271 | 272 | liste[0] = "ayse" 273 | 274 | liste 275 | 276 | liste.insert(0,"ayse") 277 | liste 278 | 279 | liste[1] = "ali" 280 | 281 | liste 282 | 283 | liste.insert(2,"mehmet") 284 | liste 285 | 286 | liste.insert(5,"berk") 287 | liste 288 | 289 | len(liste) 290 | 291 | 292 | liste.insert(len(liste),"beren") 293 | liste 294 | 295 | #pop 296 | 297 | 298 | liste.pop(0) 299 | liste 300 | 301 | liste.pop(4) 302 | liste 303 | 304 | #count 305 | 306 | liste = ["ali","veli","isik","ali","veli"] 307 | 308 | liste.count("ali") 309 | liste.count("veli") 310 | liste.count("isik") 311 | 312 | #copy 313 | 314 | liste_yedek = liste.copy() 315 | 316 | #extend 317 | 318 | liste.extend(["a","b",10]) 319 | liste 320 | 321 | #index() 322 | 323 | liste.index("ali") 324 | 325 | #reverse() 326 | 327 | liste.reverse() 328 | liste 329 | 330 | #sort() 331 | 332 | liste = [10,40,5,90] 333 | liste.sort() 334 | liste 335 | 336 | #clear 337 | 338 | liste.clear() 339 | liste 340 | 341 | 342 | #Veri Yapıları - Tuple 343 | 344 | #Tuple Olusturma 345 | 346 | t = ("ali","veli",1,2,3.2,[1,2,3,4]) 347 | 348 | t = "ali","veli",1,2,3.2, [1,2,3,4] 349 | 350 | #tuple() 351 | 352 | t = ("eleman",) 353 | type(t) 354 | 355 | #Tuple Eleman Islemleri 356 | 357 | t = ("ali","veli",1,2,3, [1,2,3,4]) 358 | t 359 | 360 | t[1] 361 | t[0:3] 362 | 363 | t[2] = 99 364 | 365 | # Veri Yapıları - Dictionary (Sözlük) 366 | 367 | 368 | #Sozluk Olusturma 369 | sozluk = {"REG" : "Regresyon Modeli", 370 | "LOJ" : "Lojistik Regresyon", 371 | "CART" : "Classification and Reg"} 372 | 373 | sozluk 374 | 375 | len(sozluk) 376 | 377 | 378 | sozluk = {"REG" : 10, 379 | "LOJ" : 20, 380 | "CART" : 30} 381 | 382 | sozluk 383 | 384 | 385 | sozluk = {"REG" : ["RMSE",10], 386 | "LOJ" : ["MSE", 20], 387 | "CART" : ["SSE",30]} 388 | 389 | sozluk 390 | 391 | #Sozluk Eleman Islemleri 392 | 393 | sozluk = {"REG" : "Regresyon Modeli", 394 | "LOJ" : "Lojistik Regresyon", 395 | "CART" : "Classification and Reg"} 396 | 397 | 398 | sozluk[0] 399 | 400 | sozluk["REG"] 401 | sozluk["LOJ"] 402 | 403 | sozluk = {"REG" : ["RMSE",10], 404 | "LOJ" : ["MSE", 20], 405 | "CART" : ["SSE",30]} 406 | 407 | 408 | sozluk["REG"] 409 | 410 | sozluk = {"REG" : {"RMSE": 10, 411 | "MSE" : 20, 412 | "SSE" : 30}, 413 | 414 | "LOJ" : {"RMSE": 10, 415 | "MSE" : 20, 416 | "SSE" : 30}, 417 | 418 | "CART" : {"RMSE": 10, 419 | "MSE" : 20, 420 | "SSE" : 30}} 421 | 422 | sozluk 423 | sozluk["REG"]["SSE"] 424 | 425 | #Sozluk - Eleman Eklemek & Degistirmek 426 | 427 | sozluk = {"REG" : "Regresyon Modeli", 428 | "LOJ" : "Lojistik Regresyon", 429 | "CART" : "Classification and Reg"} 430 | 431 | sozluk["GBM"] = "Gradient Boosting Mac" 432 | sozluk 433 | 434 | sozluk["REG"] = "Coklu Dogrusal Regresyon" 435 | sozluk 436 | 437 | sozluk[1] = "Yapay Sinir Aglari" 438 | 439 | sozluk 440 | 441 | l = [1] 442 | l 443 | 444 | sozluk[l] = "yeni bir sey" 445 | 446 | t = ("tuple",) 447 | 448 | sozluk[t] = "yeni bir sey" 449 | sozluk 450 | 451 | #Veri Yapilari - Setler 452 | 453 | #Set olusturmak 454 | 455 | s = set() 456 | s 457 | 458 | l = [1,"a","ali", 123] 459 | s = set(l) 460 | s 461 | 462 | 463 | t = ("a","ali") 464 | 465 | s = set(t) 466 | s 467 | 468 | ali = "lutfen_ata_bak ma_uza ya_git" 469 | type(ali) 470 | 471 | s = set(ali) 472 | s 473 | 474 | l = ["ali", "lutfen", "ata", "bakma", "uzaya", 475 | "git", "git", "ali","git"] 476 | 477 | l 478 | 479 | s = set(l) 480 | s 481 | 482 | len(s) 483 | 484 | l[0] 485 | 486 | s[0] 487 | 488 | 489 | 490 | # Eleman ekleme & cikarma 491 | 492 | l = ["gelecegi","yazanlar"] 493 | 494 | s = set(l) 495 | 496 | s 497 | 498 | dir(s) 499 | 500 | s.add("ile") 501 | s 502 | 503 | s.add("gelecege_git") 504 | s 505 | 506 | s.add("ile") 507 | s 508 | 509 | s.remove("ali") 510 | s 511 | 512 | s.discard("ali") 513 | 514 | #Setler - Klasik Kume Islemleri 515 | 516 | # ============================================================================= 517 | # difference() ile iki kumenin farkini ya da "-" ifadesi 518 | # intersection() iki kume kesisimi ya da "&" ifadesi 519 | # union() iki kumenin birlesimi 520 | # symmetric_difference() ikisinde de olmayanlari. 521 | # ============================================================================= 522 | 523 | 524 | #difference 525 | 526 | set1 = set([1,3,5]) 527 | set2 = set([1,2,3]) 528 | 529 | set1.difference(set2) 530 | 531 | set2.difference(set1) 532 | 533 | set1.symmetric_difference(set2) 534 | 535 | set1 - set2 536 | set2 - set1 537 | 538 | #intersection & union 539 | 540 | set1 = set([1,3,5]) 541 | set2 = set([1,2,3]) 542 | 543 | set1.intersection(set2) 544 | set2.intersection(set1) 545 | 546 | 547 | kesisim = set1 & set2 548 | kesisim 549 | 550 | birlesim = set1.union(set2) 551 | birlesim 552 | 553 | set1.intersection_update(set2) 554 | set1 555 | 556 | 557 | #Set Sorgu Islemleri 558 | 559 | set1 = set([7,8,9]) 560 | set2 = set([5,6,7,8,9,10]) 561 | 562 | #iki kumenin kesisiminin bos olup 563 | #olmadiginin sorgulanması 564 | 565 | set1.isdisjoint(set2) 566 | 567 | 568 | #bir kumenin butun elemanlarinin baska bir kume 569 | #icerisinde yer alip almadigi 570 | 571 | set1.issubset(set2) 572 | 573 | #bir kumenin bir diger kumeyi kapsayip kapsamadigi 574 | 575 | set2.issuperset(set1) 576 | 577 | 578 | 579 | 580 | dir(str) 581 | 582 | 583 | #FONKSIYONLARA GIRIS VE FONKSIYON OKURYAZARLIGI 584 | 585 | print("a","b", sep = "_") 586 | #?print 587 | print() 588 | 589 | len("a") 590 | 591 | 592 | #Matematiksel Islemler 593 | 594 | 4*4 595 | 4/4 596 | 5-1 597 | 6+3 598 | 3**2 599 | 3**3 600 | 601 | 602 | #Fonksiyon Nasil Yazilir? 603 | 604 | 4**2 605 | 606 | def kare_al(x): 607 | print(x**2) 608 | 609 | kare_al(5) 610 | 611 | #Bilgi Notuyla Cikti Uretmek 612 | 613 | def kare_al(x): 614 | print(x**2) 615 | 616 | kare_al(5) 617 | 618 | def kare_al(x): 619 | print("Girilen Sayinin Karesi:" + str(x**2)) 620 | 621 | kare_al(3) 622 | 623 | def kare_al(x): 624 | print("Girilen Sayi:" + 625 | str(x) + 626 | ", Karesi:" + 627 | str(x**2)) 628 | 629 | kare_al(3) 630 | 631 | 632 | #Iki Argumanli Fonksiyon Tanimlamak 633 | 634 | def kare_al(x): 635 | print(x**2) 636 | 637 | 638 | def carpma_yap(x, y): 639 | print(x*y) 640 | 641 | carpma_yap(2,3) 642 | 643 | #On Tanimli Argumanlar 644 | 645 | #?print 646 | 647 | def carpma_yap(x, y = 1): 648 | print(x*y) 649 | 650 | carpma_yap(3,4) 651 | 652 | print("HELLO AI ERA") 653 | 654 | #Argumanlarin Siralamasi 655 | 656 | def carpma_yap(x, y = 1): 657 | print(x*y) 658 | 659 | carpma_yap(y = 2, x = 3) 660 | 661 | carpma_yap(2,3) 662 | 663 | 664 | #Ne Zaman Fonksiyon Yazilir? 665 | 666 | #isi, nem, sarj 667 | 668 | (40+25)/90 669 | 670 | 671 | def direk_hesap(isi, nem, sarj): 672 | print((isi + nem)/sarj) 673 | 674 | direk_hesap(25,40,70) 675 | 676 | #Ciktiyi Girdi Olarak Kullanmak 677 | 678 | def direk_hesap(isi, nem, sarj): 679 | print((isi + nem)/sarj) 680 | 681 | cikti = direk_hesap(25,40,70) 682 | cikti 683 | print(cikti) 684 | direk_hesap(25,40,70)*9 685 | 686 | 687 | def direk_hesap(isi, nem, sarj): 688 | return (isi + nem)/sarj 689 | 690 | 691 | cikti = direk_hesap(25,40,70) 692 | cikti 693 | print(cikti) 694 | direk_hesap(25,40,70)*9 695 | 696 | def direk_hesap(isi, nem, sarj): 697 | return 698 | (isi + nem)/sarj 699 | 700 | 701 | direk_hesap(25,40,70) 702 | 703 | 704 | #Local ve Global Degiskenler 705 | 706 | x = 10 707 | y = 20 708 | 709 | def carpma_yap(x = 2,y = 1): 710 | return x*y 711 | 712 | 713 | carpma_yap(2,3) 714 | 715 | #Local Etki Alanindan Global Etki Alanini Degistirmek 716 | 717 | 718 | x = [] 719 | #del x 720 | 721 | def eleman_ekle(y): 722 | x.append(y) 723 | print(str(y) + " ifadesi eklendi") 724 | 725 | eleman_ekle("ali") 726 | 727 | eleman_ekle("veli") 728 | 729 | x 730 | 731 | # KARAR & KONTROL YAPILARI 732 | 733 | 734 | #True-False Sorgulamaları 735 | 736 | sinir = 5000 737 | 738 | sinir == 4000 739 | 740 | sinir == 5000 741 | 742 | 743 | 5 == 4 744 | 745 | 5 == 5 746 | 747 | 748 | #if 749 | 750 | sinir = 50000 751 | gelir = 60000 752 | 753 | gelir < sinir 754 | 755 | if gelir < sinir: 756 | print("Gelir sinirdan kucuk") 757 | 758 | if gelir > sinir: 759 | print("Gelir sinirdan kucuk") 760 | 761 | 762 | #else 763 | 764 | sinir = 50000 765 | gelir = 35000 766 | 767 | if gelir > sinir: 768 | print("Gelir sinirdan buyuk") 769 | else: 770 | print("Gelir sinirdan kucuk") 771 | 772 | #diger ornek 773 | sinir = 50000 774 | gelir = 50000 775 | 776 | if gelir == sinir: 777 | print("Gelir sinira esittir") 778 | else: 779 | print("Gelir sinira esit degildir") 780 | 781 | #elif 782 | 783 | sinir = 50000 784 | gelir1 = 60000 785 | gelir2 = 50000 786 | gelir3 = 35000 787 | 788 | if gelir1 > sinir: 789 | print("Tebrikler, hediye kazandiniz.") 790 | elif gelir1 < sinir: 791 | print("Uyari!") 792 | else: 793 | print("Takibe devam") 794 | 795 | 796 | if gelir3 > sinir: 797 | print("Tebrikler, hediye kazandiniz.") 798 | elif gelir3 < sinir: 799 | print("Uyari!") 800 | else: 801 | print("Takibe devam") 802 | 803 | 804 | if gelir2 > sinir: 805 | print("Tebrikler, hediye kazandiniz.") 806 | elif gelir2 < sinir: 807 | print("Uyari!") 808 | else: 809 | print("Takibe devam") 810 | 811 | #mini uygulama 812 | sinir = 50000 813 | magaza_adi = input("Magaza Adi Nedir?") 814 | gelir = int(input("Gelirinizi Giriniz:")) 815 | 816 | if gelir > sinir: 817 | print("Tebrikler:" + magaza_adi + " promosyon kazandiniz!") 818 | elif gelir < sinir: 819 | print("Uyari! Cok dusuk gelir:" + str(gelir)) 820 | else: 821 | print("Takibe devam") 822 | 823 | #DONGULER - for 824 | 825 | ogrenci = ["ali","veli","isik","berk"] 826 | 827 | ogrenci[0] 828 | ogrenci[1] 829 | ogrenci[2] 830 | ogrenci[3] 831 | 832 | for i in ogrenci: 833 | print(i) 834 | 835 | #for - devam 836 | 837 | maaslar = [1000,2000,3000,4000,5000] 838 | 839 | maaslar[0] 840 | maaslar[1] 841 | maaslar[2] 842 | maaslar[3] 843 | maaslar[4] 844 | 845 | for maas in maaslar: 846 | print(maas) 847 | 848 | #dongu ve fonksiyonları birlikte kullanmak 849 | 850 | def kare_al(x): 851 | print(x**2) 852 | 853 | kare_al(2) 854 | 855 | maaslar = [1000,2000,3000,4000,5000] 856 | 857 | for i in maaslar: 858 | print(i) 859 | 860 | #maaslara yuzde 20 zam yapilacak gerekli kodlari 861 | #yaziniz. 862 | 863 | 1000*20/100 + 1000 864 | 865 | maaslar[0]*20/100 + maaslar[0] 866 | maaslar[1]*20/100 + maaslar[1] 867 | maaslar[2]*20/100 + maaslar[2] 868 | 869 | #dongu yazilacak 870 | #fonksiyon yazmak 871 | 872 | def yeni_maas(x): 873 | print(x) 874 | 875 | yeni_maas(4) 876 | 877 | def yeni_maas(x): 878 | print(x*20/100 + x) 879 | 880 | yeni_maas(1000) 881 | yeni_maas(2000) 882 | yeni_maas(3000) 883 | 884 | 885 | for i in maaslar: 886 | yeni_maas(i) 887 | 888 | #mini uygulama 889 | #if, for ve fonksiyonlari birlikte kullanmak 890 | 891 | 892 | maaslar = [1000,2000,3000,4000,5000] 893 | 894 | def maas_ust(x): 895 | print(x*10/100 + x) 896 | 897 | def maas_alt(x): 898 | print(x*20/100 + x) 899 | 900 | for i in maaslar: 901 | if i >= 3000: 902 | maas_ust(i) 903 | else: 904 | maas_alt(i) 905 | 906 | #break & continue 907 | 908 | maaslar = [8000,5000,2000,1000,3000, 7000, 1000] 909 | 910 | dir(maaslar) 911 | 912 | maaslar.sort() 913 | maaslar 914 | 915 | for i in maaslar: 916 | if i == 3000: 917 | print("kesildi") 918 | break 919 | print(i) 920 | 921 | 922 | 923 | for i in maaslar: 924 | if i == 3000: 925 | continue 926 | print(i) 927 | 928 | #while 929 | 930 | sayi = 1 931 | 932 | while sayi < 9: 933 | sayi += 1 934 | print(sayi) 935 | 936 | 937 | #NESNE YONELIMLI PROGRAMLAMA 938 | 939 | #Sinif Nedir? 940 | 941 | 942 | 943 | 944 | #Sinif Ozellikleri (Class attributes) 945 | 946 | class VeriBilimci(): 947 | bolum = '' 948 | sql = 'Evet' 949 | deneyim_yili = 0 950 | bildigi_diller = [] 951 | 952 | #Siniflarin ozelliklerine erismek 953 | VeriBilimci.bolum 954 | VeriBilimci.sql 955 | 956 | #siniflarin ozelliklerini degistirmek 957 | VeriBilimci.sql = "Hayir" 958 | VeriBilimci.sql 959 | 960 | #Sinif Orneklendirmesi (instantiation) 961 | 962 | ali = VeriBilimci() 963 | 964 | ali.sql 965 | ali.deneyim_yili 966 | ali.bolum 967 | ali.bildigi_diller.append("Python") 968 | ali.bildigi_diller 969 | 970 | veli = VeriBilimci() 971 | veli.sql 972 | 973 | veli.bildigi_diller 974 | 975 | #Ornek ozellikleri 976 | 977 | class VeriBilimci(): 978 | bildigi_diller = ["R","PYTHON"] 979 | bolum = '' 980 | sql = '' 981 | deneyim_yili = 0 982 | def __init__(self): 983 | self.bildigi_diller = [] 984 | self.bolum = '' 985 | 986 | ali = VeriBilimci() 987 | ali.bildigi_diller 988 | 989 | veli = VeriBilimci() 990 | veli.bildigi_diller 991 | 992 | ali.bildigi_diller.append("Python") 993 | ali.bildigi_diller 994 | 995 | veli.bildigi_diller 996 | veli.bildigi_diller.append("R") 997 | veli.bildigi_diller 998 | 999 | VeriBilimci.bildigi_diller 1000 | ali.bolum 1001 | 1002 | VeriBilimci.bolum 1003 | ali.bolum = "istatistik" 1004 | VeriBilimci.bolum 1005 | veli.bolum 1006 | veli.bolum = "end_muh" 1007 | veli.bolum 1008 | ali.bolum 1009 | VeriBilimci.bolum 1010 | 1011 | #Ornek Metodlari 1012 | 1013 | class VeriBilimci(): 1014 | calisanlar = [] 1015 | def __init__(self): 1016 | self.bildigi_diller = [] 1017 | self.bolum = '' 1018 | def dil_ekle(self, yeni_dil) : 1019 | self.bildigi_diller.append(yeni_dil) 1020 | 1021 | 1022 | ali = VeriBilimci() 1023 | ali.bildigi_diller 1024 | ali.bolum 1025 | 1026 | veli = VeriBilimci() 1027 | veli.bildigi_diller 1028 | veli.bolum 1029 | 1030 | dir(VeriBilimci) 1031 | 1032 | VeriBilimci.dil_ekle 1033 | VeriBilimci.dil_ekle("R") 1034 | 1035 | ali.dil_ekle("R") 1036 | ali.bildigi_diller 1037 | 1038 | veli.dil_ekle("Python") 1039 | veli.bildigi_diller 1040 | 1041 | #Miras Yapilari (inheritance) 1042 | 1043 | class Employees(): 1044 | def __init__(self): 1045 | self.FirstName = "" 1046 | self.LastName = "" 1047 | self.Address = "" 1048 | 1049 | class DataScience(Employees): 1050 | def __init__(self): 1051 | self.Programming = "" 1052 | 1053 | veribilimci1 = DataScience() 1054 | #veribilimci1. 1055 | 1056 | class Marketing(Employees): 1057 | def __init__(self): 1058 | self.StoryTelling = "" 1059 | 1060 | mar1 = Marketing() 1061 | #mar1. 1062 | 1063 | 1064 | class Employee_yeni(): 1065 | def __init__(self, FirstName,LastName,Address): 1066 | self.FirstName = FirstName 1067 | self.LastName = LastName 1068 | self.Address = Address 1069 | 1070 | 1071 | ali = Employee_yeni("a","b","c") 1072 | ali.FirstName 1073 | 1074 | 1075 | 1076 | 1077 | #Python'da Fonksiyonel Programlama 1078 | 1079 | #Fonksiyonlar dilin bastacidir. 1080 | #(Birinci sinif nesnelerdir) 1081 | #Yan etkisiz fonksiyonlar. (stateless, girdi-cikti) 1082 | #Yuksek seviye fonksiyonlar. 1083 | #Vektorel operasyonlar. 1084 | 1085 | 1086 | #Yan Etkisiz Fonksiyonlar (Pure Functions) 1087 | 1088 | #Ornek1:Bagimsizlik 1089 | 1090 | A = 9 1091 | 1092 | def impure_sum(b): 1093 | return b + A 1094 | 1095 | def pure_sum(a,b): 1096 | return a + b 1097 | 1098 | 1099 | impure_sum(6) 1100 | pure_sum(3,4) 1101 | 1102 | 1103 | 1104 | #Ornek2: Olumcul yan etkiler 1105 | #OOP 1106 | class LineCounter: 1107 | def __init__(self, filename): 1108 | self.file = open(filename, 'r') 1109 | self.lines = [] 1110 | 1111 | def read(self): 1112 | self.lines = [line for line in self.file] 1113 | 1114 | def count(self): 1115 | return len(self.lines) 1116 | 1117 | 1118 | lc = LineCounter('deneme.txt') 1119 | 1120 | print(lc.lines) 1121 | print(lc.count()) 1122 | 1123 | lc.read() 1124 | 1125 | print(lc.lines) 1126 | print(lc.count()) 1127 | 1128 | #FP 1129 | 1130 | def read(filename): 1131 | with open(filename, 'r') as f: 1132 | return [line for line in f] 1133 | 1134 | def count(lines): 1135 | return len(lines) 1136 | 1137 | example_lines = read('deneme.txt') 1138 | lines_count = count(example_lines) 1139 | lines_count 1140 | 1141 | 1142 | 1143 | 1144 | 1145 | 1146 | 1147 | #Vektorel Operasyonlar (Vectorel Operations) 1148 | #OOP 1149 | a = [1,2,3,4] 1150 | b = [2,3,4,5] 1151 | 1152 | ab = [] 1153 | 1154 | range(0, len(a)) 1155 | 1156 | for i in range(0, len(a)): 1157 | ab.append(a[i]*b[i]) 1158 | 1159 | ab 1160 | 1161 | #FP 1162 | 1163 | import numpy as np 1164 | a = np.array([1,2,3,4]) 1165 | b = np.array([2,3,4,5]) 1166 | 1167 | a*b 1168 | 1169 | 1170 | 1171 | #Isimsiz Fonksiyonlar (Anonymous Functions) 1172 | 1173 | 1174 | def old_sum(a,b): 1175 | return a + b 1176 | 1177 | old_sum(4,5) 1178 | 1179 | 1180 | new_sum = lambda a,b: a + b 1181 | new_sum(4,5) 1182 | 1183 | 1184 | sirasiz_liste = [('b', 3), ('a', 8), ('d', 12), ('c', 1)] 1185 | sirasiz_liste 1186 | 1187 | sorted(sirasiz_liste, key = lambda x: x[1]) 1188 | 1189 | 1190 | #map & filter & reduce 1191 | 1192 | liste = [1,2,3,4,5] 1193 | 1194 | for i in liste: 1195 | print(i+ 10) 1196 | 1197 | 1198 | list(map(lambda x: x*10, liste)) 1199 | 1200 | #filter 1201 | 1202 | liste = [1,2,3,4,5,6,7,8,9,10] 1203 | 1204 | list(filter(lambda x: x % 2 == 0, liste)) 1205 | 1206 | #reduce 1207 | 1208 | from functools import reduce 1209 | 1210 | liste = [1,2,3,4] 1211 | reduce(lambda a,b: a + b, liste) 1212 | 1213 | #Modul Olusturmak 1214 | 1215 | 1216 | #HesapModulu.py 1217 | def yeni_maas(x): 1218 | print(x*20/100 + x) 1219 | 1220 | maaslar = [1000,2000,3000,4000] 1221 | 1222 | 1223 | #test 1224 | import HesapModulu 1225 | HesapModulu.yeni_maas(1000) 1226 | 1227 | 1228 | import HesapModulu as hm 1229 | hm.yeni_maas(2000) 1230 | 1231 | from HesapModulu import yeni_maas 1232 | yeni_maas(3000) 1233 | 1234 | import HesapModulu as hm 1235 | hm.maaslar 1236 | 1237 | #Hatalar / istisnalar (exceptions) 1238 | 1239 | #ZeroDivisionError hatasi 1240 | a = 10 1241 | b = 0 1242 | 1243 | a/b 1244 | 1245 | 1246 | try: 1247 | print(a/b) 1248 | except ZeroDivisionError: 1249 | print("Payda da sifir olmaz") 1250 | 1251 | 1252 | #tip hatasi 1253 | 1254 | a = 10 1255 | b = "2" 1256 | 1257 | a / b 1258 | 1259 | try: 1260 | print(a/b) 1261 | except TypeError: 1262 | print("Sayi ve string problemi") 1263 | 1264 | 1265 | 1266 | 1267 | a = 10 1268 | b = 2 1269 | 1270 | a / b 1271 | 1272 | try: 1273 | print(a/b) 1274 | except TypeError: 1275 | print("Sayi ve string problemi") 1276 | 1277 | 1278 | 1279 | a = [13, 10, 15, 12, 17, 12, 19, 18, 11, 12, 190] 1280 | a.sort() 1281 | a 1282 | 1283 | 1284 | a 1285 | import numpy as np 1286 | np.median(a) 1287 | 1288 | 1289 | -------------------------------------------------------------------------------- /siniflandirma problemleri/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/siniflandirma problemleri/.DS_Store -------------------------------------------------------------------------------- /siniflandirma problemleri/diabetes.csv: -------------------------------------------------------------------------------- 1 | Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome 2 | 6,148,72,35,0,33.6,0.627,50,1 3 | 1,85,66,29,0,26.6,0.351,31,0 4 | 8,183,64,0,0,23.3,0.672,32,1 5 | 1,89,66,23,94,28.1,0.167,21,0 6 | 0,137,40,35,168,43.1,2.288,33,1 7 | 5,116,74,0,0,25.6,0.201,30,0 8 | 3,78,50,32,88,31,0.248,26,1 9 | 10,115,0,0,0,35.3,0.134,29,0 10 | 2,197,70,45,543,30.5,0.158,53,1 11 | 8,125,96,0,0,0,0.232,54,1 12 | 4,110,92,0,0,37.6,0.191,30,0 13 | 10,168,74,0,0,38,0.537,34,1 14 | 10,139,80,0,0,27.1,1.441,57,0 15 | 1,189,60,23,846,30.1,0.398,59,1 16 | 5,166,72,19,175,25.8,0.587,51,1 17 | 7,100,0,0,0,30,0.484,32,1 18 | 0,118,84,47,230,45.8,0.551,31,1 19 | 7,107,74,0,0,29.6,0.254,31,1 20 | 1,103,30,38,83,43.3,0.183,33,0 21 | 1,115,70,30,96,34.6,0.529,32,1 22 | 3,126,88,41,235,39.3,0.704,27,0 23 | 8,99,84,0,0,35.4,0.388,50,0 24 | 7,196,90,0,0,39.8,0.451,41,1 25 | 9,119,80,35,0,29,0.263,29,1 26 | 11,143,94,33,146,36.6,0.254,51,1 27 | 10,125,70,26,115,31.1,0.205,41,1 28 | 7,147,76,0,0,39.4,0.257,43,1 29 | 1,97,66,15,140,23.2,0.487,22,0 30 | 13,145,82,19,110,22.2,0.245,57,0 31 | 5,117,92,0,0,34.1,0.337,38,0 32 | 5,109,75,26,0,36,0.546,60,0 33 | 3,158,76,36,245,31.6,0.851,28,1 34 | 3,88,58,11,54,24.8,0.267,22,0 35 | 6,92,92,0,0,19.9,0.188,28,0 36 | 10,122,78,31,0,27.6,0.512,45,0 37 | 4,103,60,33,192,24,0.966,33,0 38 | 11,138,76,0,0,33.2,0.42,35,0 39 | 9,102,76,37,0,32.9,0.665,46,1 40 | 2,90,68,42,0,38.2,0.503,27,1 41 | 4,111,72,47,207,37.1,1.39,56,1 42 | 3,180,64,25,70,34,0.271,26,0 43 | 7,133,84,0,0,40.2,0.696,37,0 44 | 7,106,92,18,0,22.7,0.235,48,0 45 | 9,171,110,24,240,45.4,0.721,54,1 46 | 7,159,64,0,0,27.4,0.294,40,0 47 | 0,180,66,39,0,42,1.893,25,1 48 | 1,146,56,0,0,29.7,0.564,29,0 49 | 2,71,70,27,0,28,0.586,22,0 50 | 7,103,66,32,0,39.1,0.344,31,1 51 | 7,105,0,0,0,0,0.305,24,0 52 | 1,103,80,11,82,19.4,0.491,22,0 53 | 1,101,50,15,36,24.2,0.526,26,0 54 | 5,88,66,21,23,24.4,0.342,30,0 55 | 8,176,90,34,300,33.7,0.467,58,1 56 | 7,150,66,42,342,34.7,0.718,42,0 57 | 1,73,50,10,0,23,0.248,21,0 58 | 7,187,68,39,304,37.7,0.254,41,1 59 | 0,100,88,60,110,46.8,0.962,31,0 60 | 0,146,82,0,0,40.5,1.781,44,0 61 | 0,105,64,41,142,41.5,0.173,22,0 62 | 2,84,0,0,0,0,0.304,21,0 63 | 8,133,72,0,0,32.9,0.27,39,1 64 | 5,44,62,0,0,25,0.587,36,0 65 | 2,141,58,34,128,25.4,0.699,24,0 66 | 7,114,66,0,0,32.8,0.258,42,1 67 | 5,99,74,27,0,29,0.203,32,0 68 | 0,109,88,30,0,32.5,0.855,38,1 69 | 2,109,92,0,0,42.7,0.845,54,0 70 | 1,95,66,13,38,19.6,0.334,25,0 71 | 4,146,85,27,100,28.9,0.189,27,0 72 | 2,100,66,20,90,32.9,0.867,28,1 73 | 5,139,64,35,140,28.6,0.411,26,0 74 | 13,126,90,0,0,43.4,0.583,42,1 75 | 4,129,86,20,270,35.1,0.231,23,0 76 | 1,79,75,30,0,32,0.396,22,0 77 | 1,0,48,20,0,24.7,0.14,22,0 78 | 7,62,78,0,0,32.6,0.391,41,0 79 | 5,95,72,33,0,37.7,0.37,27,0 80 | 0,131,0,0,0,43.2,0.27,26,1 81 | 2,112,66,22,0,25,0.307,24,0 82 | 3,113,44,13,0,22.4,0.14,22,0 83 | 2,74,0,0,0,0,0.102,22,0 84 | 7,83,78,26,71,29.3,0.767,36,0 85 | 0,101,65,28,0,24.6,0.237,22,0 86 | 5,137,108,0,0,48.8,0.227,37,1 87 | 2,110,74,29,125,32.4,0.698,27,0 88 | 13,106,72,54,0,36.6,0.178,45,0 89 | 2,100,68,25,71,38.5,0.324,26,0 90 | 15,136,70,32,110,37.1,0.153,43,1 91 | 1,107,68,19,0,26.5,0.165,24,0 92 | 1,80,55,0,0,19.1,0.258,21,0 93 | 4,123,80,15,176,32,0.443,34,0 94 | 7,81,78,40,48,46.7,0.261,42,0 95 | 4,134,72,0,0,23.8,0.277,60,1 96 | 2,142,82,18,64,24.7,0.761,21,0 97 | 6,144,72,27,228,33.9,0.255,40,0 98 | 2,92,62,28,0,31.6,0.13,24,0 99 | 1,71,48,18,76,20.4,0.323,22,0 100 | 6,93,50,30,64,28.7,0.356,23,0 101 | 1,122,90,51,220,49.7,0.325,31,1 102 | 1,163,72,0,0,39,1.222,33,1 103 | 1,151,60,0,0,26.1,0.179,22,0 104 | 0,125,96,0,0,22.5,0.262,21,0 105 | 1,81,72,18,40,26.6,0.283,24,0 106 | 2,85,65,0,0,39.6,0.93,27,0 107 | 1,126,56,29,152,28.7,0.801,21,0 108 | 1,96,122,0,0,22.4,0.207,27,0 109 | 4,144,58,28,140,29.5,0.287,37,0 110 | 3,83,58,31,18,34.3,0.336,25,0 111 | 0,95,85,25,36,37.4,0.247,24,1 112 | 3,171,72,33,135,33.3,0.199,24,1 113 | 8,155,62,26,495,34,0.543,46,1 114 | 1,89,76,34,37,31.2,0.192,23,0 115 | 4,76,62,0,0,34,0.391,25,0 116 | 7,160,54,32,175,30.5,0.588,39,1 117 | 4,146,92,0,0,31.2,0.539,61,1 118 | 5,124,74,0,0,34,0.22,38,1 119 | 5,78,48,0,0,33.7,0.654,25,0 120 | 4,97,60,23,0,28.2,0.443,22,0 121 | 4,99,76,15,51,23.2,0.223,21,0 122 | 0,162,76,56,100,53.2,0.759,25,1 123 | 6,111,64,39,0,34.2,0.26,24,0 124 | 2,107,74,30,100,33.6,0.404,23,0 125 | 5,132,80,0,0,26.8,0.186,69,0 126 | 0,113,76,0,0,33.3,0.278,23,1 127 | 1,88,30,42,99,55,0.496,26,1 128 | 3,120,70,30,135,42.9,0.452,30,0 129 | 1,118,58,36,94,33.3,0.261,23,0 130 | 1,117,88,24,145,34.5,0.403,40,1 131 | 0,105,84,0,0,27.9,0.741,62,1 132 | 4,173,70,14,168,29.7,0.361,33,1 133 | 9,122,56,0,0,33.3,1.114,33,1 134 | 3,170,64,37,225,34.5,0.356,30,1 135 | 8,84,74,31,0,38.3,0.457,39,0 136 | 2,96,68,13,49,21.1,0.647,26,0 137 | 2,125,60,20,140,33.8,0.088,31,0 138 | 0,100,70,26,50,30.8,0.597,21,0 139 | 0,93,60,25,92,28.7,0.532,22,0 140 | 0,129,80,0,0,31.2,0.703,29,0 141 | 5,105,72,29,325,36.9,0.159,28,0 142 | 3,128,78,0,0,21.1,0.268,55,0 143 | 5,106,82,30,0,39.5,0.286,38,0 144 | 2,108,52,26,63,32.5,0.318,22,0 145 | 10,108,66,0,0,32.4,0.272,42,1 146 | 4,154,62,31,284,32.8,0.237,23,0 147 | 0,102,75,23,0,0,0.572,21,0 148 | 9,57,80,37,0,32.8,0.096,41,0 149 | 2,106,64,35,119,30.5,1.4,34,0 150 | 5,147,78,0,0,33.7,0.218,65,0 151 | 2,90,70,17,0,27.3,0.085,22,0 152 | 1,136,74,50,204,37.4,0.399,24,0 153 | 4,114,65,0,0,21.9,0.432,37,0 154 | 9,156,86,28,155,34.3,1.189,42,1 155 | 1,153,82,42,485,40.6,0.687,23,0 156 | 8,188,78,0,0,47.9,0.137,43,1 157 | 7,152,88,44,0,50,0.337,36,1 158 | 2,99,52,15,94,24.6,0.637,21,0 159 | 1,109,56,21,135,25.2,0.833,23,0 160 | 2,88,74,19,53,29,0.229,22,0 161 | 17,163,72,41,114,40.9,0.817,47,1 162 | 4,151,90,38,0,29.7,0.294,36,0 163 | 7,102,74,40,105,37.2,0.204,45,0 164 | 0,114,80,34,285,44.2,0.167,27,0 165 | 2,100,64,23,0,29.7,0.368,21,0 166 | 0,131,88,0,0,31.6,0.743,32,1 167 | 6,104,74,18,156,29.9,0.722,41,1 168 | 3,148,66,25,0,32.5,0.256,22,0 169 | 4,120,68,0,0,29.6,0.709,34,0 170 | 4,110,66,0,0,31.9,0.471,29,0 171 | 3,111,90,12,78,28.4,0.495,29,0 172 | 6,102,82,0,0,30.8,0.18,36,1 173 | 6,134,70,23,130,35.4,0.542,29,1 174 | 2,87,0,23,0,28.9,0.773,25,0 175 | 1,79,60,42,48,43.5,0.678,23,0 176 | 2,75,64,24,55,29.7,0.37,33,0 177 | 8,179,72,42,130,32.7,0.719,36,1 178 | 6,85,78,0,0,31.2,0.382,42,0 179 | 0,129,110,46,130,67.1,0.319,26,1 180 | 5,143,78,0,0,45,0.19,47,0 181 | 5,130,82,0,0,39.1,0.956,37,1 182 | 6,87,80,0,0,23.2,0.084,32,0 183 | 0,119,64,18,92,34.9,0.725,23,0 184 | 1,0,74,20,23,27.7,0.299,21,0 185 | 5,73,60,0,0,26.8,0.268,27,0 186 | 4,141,74,0,0,27.6,0.244,40,0 187 | 7,194,68,28,0,35.9,0.745,41,1 188 | 8,181,68,36,495,30.1,0.615,60,1 189 | 1,128,98,41,58,32,1.321,33,1 190 | 8,109,76,39,114,27.9,0.64,31,1 191 | 5,139,80,35,160,31.6,0.361,25,1 192 | 3,111,62,0,0,22.6,0.142,21,0 193 | 9,123,70,44,94,33.1,0.374,40,0 194 | 7,159,66,0,0,30.4,0.383,36,1 195 | 11,135,0,0,0,52.3,0.578,40,1 196 | 8,85,55,20,0,24.4,0.136,42,0 197 | 5,158,84,41,210,39.4,0.395,29,1 198 | 1,105,58,0,0,24.3,0.187,21,0 199 | 3,107,62,13,48,22.9,0.678,23,1 200 | 4,109,64,44,99,34.8,0.905,26,1 201 | 4,148,60,27,318,30.9,0.15,29,1 202 | 0,113,80,16,0,31,0.874,21,0 203 | 1,138,82,0,0,40.1,0.236,28,0 204 | 0,108,68,20,0,27.3,0.787,32,0 205 | 2,99,70,16,44,20.4,0.235,27,0 206 | 6,103,72,32,190,37.7,0.324,55,0 207 | 5,111,72,28,0,23.9,0.407,27,0 208 | 8,196,76,29,280,37.5,0.605,57,1 209 | 5,162,104,0,0,37.7,0.151,52,1 210 | 1,96,64,27,87,33.2,0.289,21,0 211 | 7,184,84,33,0,35.5,0.355,41,1 212 | 2,81,60,22,0,27.7,0.29,25,0 213 | 0,147,85,54,0,42.8,0.375,24,0 214 | 7,179,95,31,0,34.2,0.164,60,0 215 | 0,140,65,26,130,42.6,0.431,24,1 216 | 9,112,82,32,175,34.2,0.26,36,1 217 | 12,151,70,40,271,41.8,0.742,38,1 218 | 5,109,62,41,129,35.8,0.514,25,1 219 | 6,125,68,30,120,30,0.464,32,0 220 | 5,85,74,22,0,29,1.224,32,1 221 | 5,112,66,0,0,37.8,0.261,41,1 222 | 0,177,60,29,478,34.6,1.072,21,1 223 | 2,158,90,0,0,31.6,0.805,66,1 224 | 7,119,0,0,0,25.2,0.209,37,0 225 | 7,142,60,33,190,28.8,0.687,61,0 226 | 1,100,66,15,56,23.6,0.666,26,0 227 | 1,87,78,27,32,34.6,0.101,22,0 228 | 0,101,76,0,0,35.7,0.198,26,0 229 | 3,162,52,38,0,37.2,0.652,24,1 230 | 4,197,70,39,744,36.7,2.329,31,0 231 | 0,117,80,31,53,45.2,0.089,24,0 232 | 4,142,86,0,0,44,0.645,22,1 233 | 6,134,80,37,370,46.2,0.238,46,1 234 | 1,79,80,25,37,25.4,0.583,22,0 235 | 4,122,68,0,0,35,0.394,29,0 236 | 3,74,68,28,45,29.7,0.293,23,0 237 | 4,171,72,0,0,43.6,0.479,26,1 238 | 7,181,84,21,192,35.9,0.586,51,1 239 | 0,179,90,27,0,44.1,0.686,23,1 240 | 9,164,84,21,0,30.8,0.831,32,1 241 | 0,104,76,0,0,18.4,0.582,27,0 242 | 1,91,64,24,0,29.2,0.192,21,0 243 | 4,91,70,32,88,33.1,0.446,22,0 244 | 3,139,54,0,0,25.6,0.402,22,1 245 | 6,119,50,22,176,27.1,1.318,33,1 246 | 2,146,76,35,194,38.2,0.329,29,0 247 | 9,184,85,15,0,30,1.213,49,1 248 | 10,122,68,0,0,31.2,0.258,41,0 249 | 0,165,90,33,680,52.3,0.427,23,0 250 | 9,124,70,33,402,35.4,0.282,34,0 251 | 1,111,86,19,0,30.1,0.143,23,0 252 | 9,106,52,0,0,31.2,0.38,42,0 253 | 2,129,84,0,0,28,0.284,27,0 254 | 2,90,80,14,55,24.4,0.249,24,0 255 | 0,86,68,32,0,35.8,0.238,25,0 256 | 12,92,62,7,258,27.6,0.926,44,1 257 | 1,113,64,35,0,33.6,0.543,21,1 258 | 3,111,56,39,0,30.1,0.557,30,0 259 | 2,114,68,22,0,28.7,0.092,25,0 260 | 1,193,50,16,375,25.9,0.655,24,0 261 | 11,155,76,28,150,33.3,1.353,51,1 262 | 3,191,68,15,130,30.9,0.299,34,0 263 | 3,141,0,0,0,30,0.761,27,1 264 | 4,95,70,32,0,32.1,0.612,24,0 265 | 3,142,80,15,0,32.4,0.2,63,0 266 | 4,123,62,0,0,32,0.226,35,1 267 | 5,96,74,18,67,33.6,0.997,43,0 268 | 0,138,0,0,0,36.3,0.933,25,1 269 | 2,128,64,42,0,40,1.101,24,0 270 | 0,102,52,0,0,25.1,0.078,21,0 271 | 2,146,0,0,0,27.5,0.24,28,1 272 | 10,101,86,37,0,45.6,1.136,38,1 273 | 2,108,62,32,56,25.2,0.128,21,0 274 | 3,122,78,0,0,23,0.254,40,0 275 | 1,71,78,50,45,33.2,0.422,21,0 276 | 13,106,70,0,0,34.2,0.251,52,0 277 | 2,100,70,52,57,40.5,0.677,25,0 278 | 7,106,60,24,0,26.5,0.296,29,1 279 | 0,104,64,23,116,27.8,0.454,23,0 280 | 5,114,74,0,0,24.9,0.744,57,0 281 | 2,108,62,10,278,25.3,0.881,22,0 282 | 0,146,70,0,0,37.9,0.334,28,1 283 | 10,129,76,28,122,35.9,0.28,39,0 284 | 7,133,88,15,155,32.4,0.262,37,0 285 | 7,161,86,0,0,30.4,0.165,47,1 286 | 2,108,80,0,0,27,0.259,52,1 287 | 7,136,74,26,135,26,0.647,51,0 288 | 5,155,84,44,545,38.7,0.619,34,0 289 | 1,119,86,39,220,45.6,0.808,29,1 290 | 4,96,56,17,49,20.8,0.34,26,0 291 | 5,108,72,43,75,36.1,0.263,33,0 292 | 0,78,88,29,40,36.9,0.434,21,0 293 | 0,107,62,30,74,36.6,0.757,25,1 294 | 2,128,78,37,182,43.3,1.224,31,1 295 | 1,128,48,45,194,40.5,0.613,24,1 296 | 0,161,50,0,0,21.9,0.254,65,0 297 | 6,151,62,31,120,35.5,0.692,28,0 298 | 2,146,70,38,360,28,0.337,29,1 299 | 0,126,84,29,215,30.7,0.52,24,0 300 | 14,100,78,25,184,36.6,0.412,46,1 301 | 8,112,72,0,0,23.6,0.84,58,0 302 | 0,167,0,0,0,32.3,0.839,30,1 303 | 2,144,58,33,135,31.6,0.422,25,1 304 | 5,77,82,41,42,35.8,0.156,35,0 305 | 5,115,98,0,0,52.9,0.209,28,1 306 | 3,150,76,0,0,21,0.207,37,0 307 | 2,120,76,37,105,39.7,0.215,29,0 308 | 10,161,68,23,132,25.5,0.326,47,1 309 | 0,137,68,14,148,24.8,0.143,21,0 310 | 0,128,68,19,180,30.5,1.391,25,1 311 | 2,124,68,28,205,32.9,0.875,30,1 312 | 6,80,66,30,0,26.2,0.313,41,0 313 | 0,106,70,37,148,39.4,0.605,22,0 314 | 2,155,74,17,96,26.6,0.433,27,1 315 | 3,113,50,10,85,29.5,0.626,25,0 316 | 7,109,80,31,0,35.9,1.127,43,1 317 | 2,112,68,22,94,34.1,0.315,26,0 318 | 3,99,80,11,64,19.3,0.284,30,0 319 | 3,182,74,0,0,30.5,0.345,29,1 320 | 3,115,66,39,140,38.1,0.15,28,0 321 | 6,194,78,0,0,23.5,0.129,59,1 322 | 4,129,60,12,231,27.5,0.527,31,0 323 | 3,112,74,30,0,31.6,0.197,25,1 324 | 0,124,70,20,0,27.4,0.254,36,1 325 | 13,152,90,33,29,26.8,0.731,43,1 326 | 2,112,75,32,0,35.7,0.148,21,0 327 | 1,157,72,21,168,25.6,0.123,24,0 328 | 1,122,64,32,156,35.1,0.692,30,1 329 | 10,179,70,0,0,35.1,0.2,37,0 330 | 2,102,86,36,120,45.5,0.127,23,1 331 | 6,105,70,32,68,30.8,0.122,37,0 332 | 8,118,72,19,0,23.1,1.476,46,0 333 | 2,87,58,16,52,32.7,0.166,25,0 334 | 1,180,0,0,0,43.3,0.282,41,1 335 | 12,106,80,0,0,23.6,0.137,44,0 336 | 1,95,60,18,58,23.9,0.26,22,0 337 | 0,165,76,43,255,47.9,0.259,26,0 338 | 0,117,0,0,0,33.8,0.932,44,0 339 | 5,115,76,0,0,31.2,0.343,44,1 340 | 9,152,78,34,171,34.2,0.893,33,1 341 | 7,178,84,0,0,39.9,0.331,41,1 342 | 1,130,70,13,105,25.9,0.472,22,0 343 | 1,95,74,21,73,25.9,0.673,36,0 344 | 1,0,68,35,0,32,0.389,22,0 345 | 5,122,86,0,0,34.7,0.29,33,0 346 | 8,95,72,0,0,36.8,0.485,57,0 347 | 8,126,88,36,108,38.5,0.349,49,0 348 | 1,139,46,19,83,28.7,0.654,22,0 349 | 3,116,0,0,0,23.5,0.187,23,0 350 | 3,99,62,19,74,21.8,0.279,26,0 351 | 5,0,80,32,0,41,0.346,37,1 352 | 4,92,80,0,0,42.2,0.237,29,0 353 | 4,137,84,0,0,31.2,0.252,30,0 354 | 3,61,82,28,0,34.4,0.243,46,0 355 | 1,90,62,12,43,27.2,0.58,24,0 356 | 3,90,78,0,0,42.7,0.559,21,0 357 | 9,165,88,0,0,30.4,0.302,49,1 358 | 1,125,50,40,167,33.3,0.962,28,1 359 | 13,129,0,30,0,39.9,0.569,44,1 360 | 12,88,74,40,54,35.3,0.378,48,0 361 | 1,196,76,36,249,36.5,0.875,29,1 362 | 5,189,64,33,325,31.2,0.583,29,1 363 | 5,158,70,0,0,29.8,0.207,63,0 364 | 5,103,108,37,0,39.2,0.305,65,0 365 | 4,146,78,0,0,38.5,0.52,67,1 366 | 4,147,74,25,293,34.9,0.385,30,0 367 | 5,99,54,28,83,34,0.499,30,0 368 | 6,124,72,0,0,27.6,0.368,29,1 369 | 0,101,64,17,0,21,0.252,21,0 370 | 3,81,86,16,66,27.5,0.306,22,0 371 | 1,133,102,28,140,32.8,0.234,45,1 372 | 3,173,82,48,465,38.4,2.137,25,1 373 | 0,118,64,23,89,0,1.731,21,0 374 | 0,84,64,22,66,35.8,0.545,21,0 375 | 2,105,58,40,94,34.9,0.225,25,0 376 | 2,122,52,43,158,36.2,0.816,28,0 377 | 12,140,82,43,325,39.2,0.528,58,1 378 | 0,98,82,15,84,25.2,0.299,22,0 379 | 1,87,60,37,75,37.2,0.509,22,0 380 | 4,156,75,0,0,48.3,0.238,32,1 381 | 0,93,100,39,72,43.4,1.021,35,0 382 | 1,107,72,30,82,30.8,0.821,24,0 383 | 0,105,68,22,0,20,0.236,22,0 384 | 1,109,60,8,182,25.4,0.947,21,0 385 | 1,90,62,18,59,25.1,1.268,25,0 386 | 1,125,70,24,110,24.3,0.221,25,0 387 | 1,119,54,13,50,22.3,0.205,24,0 388 | 5,116,74,29,0,32.3,0.66,35,1 389 | 8,105,100,36,0,43.3,0.239,45,1 390 | 5,144,82,26,285,32,0.452,58,1 391 | 3,100,68,23,81,31.6,0.949,28,0 392 | 1,100,66,29,196,32,0.444,42,0 393 | 5,166,76,0,0,45.7,0.34,27,1 394 | 1,131,64,14,415,23.7,0.389,21,0 395 | 4,116,72,12,87,22.1,0.463,37,0 396 | 4,158,78,0,0,32.9,0.803,31,1 397 | 2,127,58,24,275,27.7,1.6,25,0 398 | 3,96,56,34,115,24.7,0.944,39,0 399 | 0,131,66,40,0,34.3,0.196,22,1 400 | 3,82,70,0,0,21.1,0.389,25,0 401 | 3,193,70,31,0,34.9,0.241,25,1 402 | 4,95,64,0,0,32,0.161,31,1 403 | 6,137,61,0,0,24.2,0.151,55,0 404 | 5,136,84,41,88,35,0.286,35,1 405 | 9,72,78,25,0,31.6,0.28,38,0 406 | 5,168,64,0,0,32.9,0.135,41,1 407 | 2,123,48,32,165,42.1,0.52,26,0 408 | 4,115,72,0,0,28.9,0.376,46,1 409 | 0,101,62,0,0,21.9,0.336,25,0 410 | 8,197,74,0,0,25.9,1.191,39,1 411 | 1,172,68,49,579,42.4,0.702,28,1 412 | 6,102,90,39,0,35.7,0.674,28,0 413 | 1,112,72,30,176,34.4,0.528,25,0 414 | 1,143,84,23,310,42.4,1.076,22,0 415 | 1,143,74,22,61,26.2,0.256,21,0 416 | 0,138,60,35,167,34.6,0.534,21,1 417 | 3,173,84,33,474,35.7,0.258,22,1 418 | 1,97,68,21,0,27.2,1.095,22,0 419 | 4,144,82,32,0,38.5,0.554,37,1 420 | 1,83,68,0,0,18.2,0.624,27,0 421 | 3,129,64,29,115,26.4,0.219,28,1 422 | 1,119,88,41,170,45.3,0.507,26,0 423 | 2,94,68,18,76,26,0.561,21,0 424 | 0,102,64,46,78,40.6,0.496,21,0 425 | 2,115,64,22,0,30.8,0.421,21,0 426 | 8,151,78,32,210,42.9,0.516,36,1 427 | 4,184,78,39,277,37,0.264,31,1 428 | 0,94,0,0,0,0,0.256,25,0 429 | 1,181,64,30,180,34.1,0.328,38,1 430 | 0,135,94,46,145,40.6,0.284,26,0 431 | 1,95,82,25,180,35,0.233,43,1 432 | 2,99,0,0,0,22.2,0.108,23,0 433 | 3,89,74,16,85,30.4,0.551,38,0 434 | 1,80,74,11,60,30,0.527,22,0 435 | 2,139,75,0,0,25.6,0.167,29,0 436 | 1,90,68,8,0,24.5,1.138,36,0 437 | 0,141,0,0,0,42.4,0.205,29,1 438 | 12,140,85,33,0,37.4,0.244,41,0 439 | 5,147,75,0,0,29.9,0.434,28,0 440 | 1,97,70,15,0,18.2,0.147,21,0 441 | 6,107,88,0,0,36.8,0.727,31,0 442 | 0,189,104,25,0,34.3,0.435,41,1 443 | 2,83,66,23,50,32.2,0.497,22,0 444 | 4,117,64,27,120,33.2,0.23,24,0 445 | 8,108,70,0,0,30.5,0.955,33,1 446 | 4,117,62,12,0,29.7,0.38,30,1 447 | 0,180,78,63,14,59.4,2.42,25,1 448 | 1,100,72,12,70,25.3,0.658,28,0 449 | 0,95,80,45,92,36.5,0.33,26,0 450 | 0,104,64,37,64,33.6,0.51,22,1 451 | 0,120,74,18,63,30.5,0.285,26,0 452 | 1,82,64,13,95,21.2,0.415,23,0 453 | 2,134,70,0,0,28.9,0.542,23,1 454 | 0,91,68,32,210,39.9,0.381,25,0 455 | 2,119,0,0,0,19.6,0.832,72,0 456 | 2,100,54,28,105,37.8,0.498,24,0 457 | 14,175,62,30,0,33.6,0.212,38,1 458 | 1,135,54,0,0,26.7,0.687,62,0 459 | 5,86,68,28,71,30.2,0.364,24,0 460 | 10,148,84,48,237,37.6,1.001,51,1 461 | 9,134,74,33,60,25.9,0.46,81,0 462 | 9,120,72,22,56,20.8,0.733,48,0 463 | 1,71,62,0,0,21.8,0.416,26,0 464 | 8,74,70,40,49,35.3,0.705,39,0 465 | 5,88,78,30,0,27.6,0.258,37,0 466 | 10,115,98,0,0,24,1.022,34,0 467 | 0,124,56,13,105,21.8,0.452,21,0 468 | 0,74,52,10,36,27.8,0.269,22,0 469 | 0,97,64,36,100,36.8,0.6,25,0 470 | 8,120,0,0,0,30,0.183,38,1 471 | 6,154,78,41,140,46.1,0.571,27,0 472 | 1,144,82,40,0,41.3,0.607,28,0 473 | 0,137,70,38,0,33.2,0.17,22,0 474 | 0,119,66,27,0,38.8,0.259,22,0 475 | 7,136,90,0,0,29.9,0.21,50,0 476 | 4,114,64,0,0,28.9,0.126,24,0 477 | 0,137,84,27,0,27.3,0.231,59,0 478 | 2,105,80,45,191,33.7,0.711,29,1 479 | 7,114,76,17,110,23.8,0.466,31,0 480 | 8,126,74,38,75,25.9,0.162,39,0 481 | 4,132,86,31,0,28,0.419,63,0 482 | 3,158,70,30,328,35.5,0.344,35,1 483 | 0,123,88,37,0,35.2,0.197,29,0 484 | 4,85,58,22,49,27.8,0.306,28,0 485 | 0,84,82,31,125,38.2,0.233,23,0 486 | 0,145,0,0,0,44.2,0.63,31,1 487 | 0,135,68,42,250,42.3,0.365,24,1 488 | 1,139,62,41,480,40.7,0.536,21,0 489 | 0,173,78,32,265,46.5,1.159,58,0 490 | 4,99,72,17,0,25.6,0.294,28,0 491 | 8,194,80,0,0,26.1,0.551,67,0 492 | 2,83,65,28,66,36.8,0.629,24,0 493 | 2,89,90,30,0,33.5,0.292,42,0 494 | 4,99,68,38,0,32.8,0.145,33,0 495 | 4,125,70,18,122,28.9,1.144,45,1 496 | 3,80,0,0,0,0,0.174,22,0 497 | 6,166,74,0,0,26.6,0.304,66,0 498 | 5,110,68,0,0,26,0.292,30,0 499 | 2,81,72,15,76,30.1,0.547,25,0 500 | 7,195,70,33,145,25.1,0.163,55,1 501 | 6,154,74,32,193,29.3,0.839,39,0 502 | 2,117,90,19,71,25.2,0.313,21,0 503 | 3,84,72,32,0,37.2,0.267,28,0 504 | 6,0,68,41,0,39,0.727,41,1 505 | 7,94,64,25,79,33.3,0.738,41,0 506 | 3,96,78,39,0,37.3,0.238,40,0 507 | 10,75,82,0,0,33.3,0.263,38,0 508 | 0,180,90,26,90,36.5,0.314,35,1 509 | 1,130,60,23,170,28.6,0.692,21,0 510 | 2,84,50,23,76,30.4,0.968,21,0 511 | 8,120,78,0,0,25,0.409,64,0 512 | 12,84,72,31,0,29.7,0.297,46,1 513 | 0,139,62,17,210,22.1,0.207,21,0 514 | 9,91,68,0,0,24.2,0.2,58,0 515 | 2,91,62,0,0,27.3,0.525,22,0 516 | 3,99,54,19,86,25.6,0.154,24,0 517 | 3,163,70,18,105,31.6,0.268,28,1 518 | 9,145,88,34,165,30.3,0.771,53,1 519 | 7,125,86,0,0,37.6,0.304,51,0 520 | 13,76,60,0,0,32.8,0.18,41,0 521 | 6,129,90,7,326,19.6,0.582,60,0 522 | 2,68,70,32,66,25,0.187,25,0 523 | 3,124,80,33,130,33.2,0.305,26,0 524 | 6,114,0,0,0,0,0.189,26,0 525 | 9,130,70,0,0,34.2,0.652,45,1 526 | 3,125,58,0,0,31.6,0.151,24,0 527 | 3,87,60,18,0,21.8,0.444,21,0 528 | 1,97,64,19,82,18.2,0.299,21,0 529 | 3,116,74,15,105,26.3,0.107,24,0 530 | 0,117,66,31,188,30.8,0.493,22,0 531 | 0,111,65,0,0,24.6,0.66,31,0 532 | 2,122,60,18,106,29.8,0.717,22,0 533 | 0,107,76,0,0,45.3,0.686,24,0 534 | 1,86,66,52,65,41.3,0.917,29,0 535 | 6,91,0,0,0,29.8,0.501,31,0 536 | 1,77,56,30,56,33.3,1.251,24,0 537 | 4,132,0,0,0,32.9,0.302,23,1 538 | 0,105,90,0,0,29.6,0.197,46,0 539 | 0,57,60,0,0,21.7,0.735,67,0 540 | 0,127,80,37,210,36.3,0.804,23,0 541 | 3,129,92,49,155,36.4,0.968,32,1 542 | 8,100,74,40,215,39.4,0.661,43,1 543 | 3,128,72,25,190,32.4,0.549,27,1 544 | 10,90,85,32,0,34.9,0.825,56,1 545 | 4,84,90,23,56,39.5,0.159,25,0 546 | 1,88,78,29,76,32,0.365,29,0 547 | 8,186,90,35,225,34.5,0.423,37,1 548 | 5,187,76,27,207,43.6,1.034,53,1 549 | 4,131,68,21,166,33.1,0.16,28,0 550 | 1,164,82,43,67,32.8,0.341,50,0 551 | 4,189,110,31,0,28.5,0.68,37,0 552 | 1,116,70,28,0,27.4,0.204,21,0 553 | 3,84,68,30,106,31.9,0.591,25,0 554 | 6,114,88,0,0,27.8,0.247,66,0 555 | 1,88,62,24,44,29.9,0.422,23,0 556 | 1,84,64,23,115,36.9,0.471,28,0 557 | 7,124,70,33,215,25.5,0.161,37,0 558 | 1,97,70,40,0,38.1,0.218,30,0 559 | 8,110,76,0,0,27.8,0.237,58,0 560 | 11,103,68,40,0,46.2,0.126,42,0 561 | 11,85,74,0,0,30.1,0.3,35,0 562 | 6,125,76,0,0,33.8,0.121,54,1 563 | 0,198,66,32,274,41.3,0.502,28,1 564 | 1,87,68,34,77,37.6,0.401,24,0 565 | 6,99,60,19,54,26.9,0.497,32,0 566 | 0,91,80,0,0,32.4,0.601,27,0 567 | 2,95,54,14,88,26.1,0.748,22,0 568 | 1,99,72,30,18,38.6,0.412,21,0 569 | 6,92,62,32,126,32,0.085,46,0 570 | 4,154,72,29,126,31.3,0.338,37,0 571 | 0,121,66,30,165,34.3,0.203,33,1 572 | 3,78,70,0,0,32.5,0.27,39,0 573 | 2,130,96,0,0,22.6,0.268,21,0 574 | 3,111,58,31,44,29.5,0.43,22,0 575 | 2,98,60,17,120,34.7,0.198,22,0 576 | 1,143,86,30,330,30.1,0.892,23,0 577 | 1,119,44,47,63,35.5,0.28,25,0 578 | 6,108,44,20,130,24,0.813,35,0 579 | 2,118,80,0,0,42.9,0.693,21,1 580 | 10,133,68,0,0,27,0.245,36,0 581 | 2,197,70,99,0,34.7,0.575,62,1 582 | 0,151,90,46,0,42.1,0.371,21,1 583 | 6,109,60,27,0,25,0.206,27,0 584 | 12,121,78,17,0,26.5,0.259,62,0 585 | 8,100,76,0,0,38.7,0.19,42,0 586 | 8,124,76,24,600,28.7,0.687,52,1 587 | 1,93,56,11,0,22.5,0.417,22,0 588 | 8,143,66,0,0,34.9,0.129,41,1 589 | 6,103,66,0,0,24.3,0.249,29,0 590 | 3,176,86,27,156,33.3,1.154,52,1 591 | 0,73,0,0,0,21.1,0.342,25,0 592 | 11,111,84,40,0,46.8,0.925,45,1 593 | 2,112,78,50,140,39.4,0.175,24,0 594 | 3,132,80,0,0,34.4,0.402,44,1 595 | 2,82,52,22,115,28.5,1.699,25,0 596 | 6,123,72,45,230,33.6,0.733,34,0 597 | 0,188,82,14,185,32,0.682,22,1 598 | 0,67,76,0,0,45.3,0.194,46,0 599 | 1,89,24,19,25,27.8,0.559,21,0 600 | 1,173,74,0,0,36.8,0.088,38,1 601 | 1,109,38,18,120,23.1,0.407,26,0 602 | 1,108,88,19,0,27.1,0.4,24,0 603 | 6,96,0,0,0,23.7,0.19,28,0 604 | 1,124,74,36,0,27.8,0.1,30,0 605 | 7,150,78,29,126,35.2,0.692,54,1 606 | 4,183,0,0,0,28.4,0.212,36,1 607 | 1,124,60,32,0,35.8,0.514,21,0 608 | 1,181,78,42,293,40,1.258,22,1 609 | 1,92,62,25,41,19.5,0.482,25,0 610 | 0,152,82,39,272,41.5,0.27,27,0 611 | 1,111,62,13,182,24,0.138,23,0 612 | 3,106,54,21,158,30.9,0.292,24,0 613 | 3,174,58,22,194,32.9,0.593,36,1 614 | 7,168,88,42,321,38.2,0.787,40,1 615 | 6,105,80,28,0,32.5,0.878,26,0 616 | 11,138,74,26,144,36.1,0.557,50,1 617 | 3,106,72,0,0,25.8,0.207,27,0 618 | 6,117,96,0,0,28.7,0.157,30,0 619 | 2,68,62,13,15,20.1,0.257,23,0 620 | 9,112,82,24,0,28.2,1.282,50,1 621 | 0,119,0,0,0,32.4,0.141,24,1 622 | 2,112,86,42,160,38.4,0.246,28,0 623 | 2,92,76,20,0,24.2,1.698,28,0 624 | 6,183,94,0,0,40.8,1.461,45,0 625 | 0,94,70,27,115,43.5,0.347,21,0 626 | 2,108,64,0,0,30.8,0.158,21,0 627 | 4,90,88,47,54,37.7,0.362,29,0 628 | 0,125,68,0,0,24.7,0.206,21,0 629 | 0,132,78,0,0,32.4,0.393,21,0 630 | 5,128,80,0,0,34.6,0.144,45,0 631 | 4,94,65,22,0,24.7,0.148,21,0 632 | 7,114,64,0,0,27.4,0.732,34,1 633 | 0,102,78,40,90,34.5,0.238,24,0 634 | 2,111,60,0,0,26.2,0.343,23,0 635 | 1,128,82,17,183,27.5,0.115,22,0 636 | 10,92,62,0,0,25.9,0.167,31,0 637 | 13,104,72,0,0,31.2,0.465,38,1 638 | 5,104,74,0,0,28.8,0.153,48,0 639 | 2,94,76,18,66,31.6,0.649,23,0 640 | 7,97,76,32,91,40.9,0.871,32,1 641 | 1,100,74,12,46,19.5,0.149,28,0 642 | 0,102,86,17,105,29.3,0.695,27,0 643 | 4,128,70,0,0,34.3,0.303,24,0 644 | 6,147,80,0,0,29.5,0.178,50,1 645 | 4,90,0,0,0,28,0.61,31,0 646 | 3,103,72,30,152,27.6,0.73,27,0 647 | 2,157,74,35,440,39.4,0.134,30,0 648 | 1,167,74,17,144,23.4,0.447,33,1 649 | 0,179,50,36,159,37.8,0.455,22,1 650 | 11,136,84,35,130,28.3,0.26,42,1 651 | 0,107,60,25,0,26.4,0.133,23,0 652 | 1,91,54,25,100,25.2,0.234,23,0 653 | 1,117,60,23,106,33.8,0.466,27,0 654 | 5,123,74,40,77,34.1,0.269,28,0 655 | 2,120,54,0,0,26.8,0.455,27,0 656 | 1,106,70,28,135,34.2,0.142,22,0 657 | 2,155,52,27,540,38.7,0.24,25,1 658 | 2,101,58,35,90,21.8,0.155,22,0 659 | 1,120,80,48,200,38.9,1.162,41,0 660 | 11,127,106,0,0,39,0.19,51,0 661 | 3,80,82,31,70,34.2,1.292,27,1 662 | 10,162,84,0,0,27.7,0.182,54,0 663 | 1,199,76,43,0,42.9,1.394,22,1 664 | 8,167,106,46,231,37.6,0.165,43,1 665 | 9,145,80,46,130,37.9,0.637,40,1 666 | 6,115,60,39,0,33.7,0.245,40,1 667 | 1,112,80,45,132,34.8,0.217,24,0 668 | 4,145,82,18,0,32.5,0.235,70,1 669 | 10,111,70,27,0,27.5,0.141,40,1 670 | 6,98,58,33,190,34,0.43,43,0 671 | 9,154,78,30,100,30.9,0.164,45,0 672 | 6,165,68,26,168,33.6,0.631,49,0 673 | 1,99,58,10,0,25.4,0.551,21,0 674 | 10,68,106,23,49,35.5,0.285,47,0 675 | 3,123,100,35,240,57.3,0.88,22,0 676 | 8,91,82,0,0,35.6,0.587,68,0 677 | 6,195,70,0,0,30.9,0.328,31,1 678 | 9,156,86,0,0,24.8,0.23,53,1 679 | 0,93,60,0,0,35.3,0.263,25,0 680 | 3,121,52,0,0,36,0.127,25,1 681 | 2,101,58,17,265,24.2,0.614,23,0 682 | 2,56,56,28,45,24.2,0.332,22,0 683 | 0,162,76,36,0,49.6,0.364,26,1 684 | 0,95,64,39,105,44.6,0.366,22,0 685 | 4,125,80,0,0,32.3,0.536,27,1 686 | 5,136,82,0,0,0,0.64,69,0 687 | 2,129,74,26,205,33.2,0.591,25,0 688 | 3,130,64,0,0,23.1,0.314,22,0 689 | 1,107,50,19,0,28.3,0.181,29,0 690 | 1,140,74,26,180,24.1,0.828,23,0 691 | 1,144,82,46,180,46.1,0.335,46,1 692 | 8,107,80,0,0,24.6,0.856,34,0 693 | 13,158,114,0,0,42.3,0.257,44,1 694 | 2,121,70,32,95,39.1,0.886,23,0 695 | 7,129,68,49,125,38.5,0.439,43,1 696 | 2,90,60,0,0,23.5,0.191,25,0 697 | 7,142,90,24,480,30.4,0.128,43,1 698 | 3,169,74,19,125,29.9,0.268,31,1 699 | 0,99,0,0,0,25,0.253,22,0 700 | 4,127,88,11,155,34.5,0.598,28,0 701 | 4,118,70,0,0,44.5,0.904,26,0 702 | 2,122,76,27,200,35.9,0.483,26,0 703 | 6,125,78,31,0,27.6,0.565,49,1 704 | 1,168,88,29,0,35,0.905,52,1 705 | 2,129,0,0,0,38.5,0.304,41,0 706 | 4,110,76,20,100,28.4,0.118,27,0 707 | 6,80,80,36,0,39.8,0.177,28,0 708 | 10,115,0,0,0,0,0.261,30,1 709 | 2,127,46,21,335,34.4,0.176,22,0 710 | 9,164,78,0,0,32.8,0.148,45,1 711 | 2,93,64,32,160,38,0.674,23,1 712 | 3,158,64,13,387,31.2,0.295,24,0 713 | 5,126,78,27,22,29.6,0.439,40,0 714 | 10,129,62,36,0,41.2,0.441,38,1 715 | 0,134,58,20,291,26.4,0.352,21,0 716 | 3,102,74,0,0,29.5,0.121,32,0 717 | 7,187,50,33,392,33.9,0.826,34,1 718 | 3,173,78,39,185,33.8,0.97,31,1 719 | 10,94,72,18,0,23.1,0.595,56,0 720 | 1,108,60,46,178,35.5,0.415,24,0 721 | 5,97,76,27,0,35.6,0.378,52,1 722 | 4,83,86,19,0,29.3,0.317,34,0 723 | 1,114,66,36,200,38.1,0.289,21,0 724 | 1,149,68,29,127,29.3,0.349,42,1 725 | 5,117,86,30,105,39.1,0.251,42,0 726 | 1,111,94,0,0,32.8,0.265,45,0 727 | 4,112,78,40,0,39.4,0.236,38,0 728 | 1,116,78,29,180,36.1,0.496,25,0 729 | 0,141,84,26,0,32.4,0.433,22,0 730 | 2,175,88,0,0,22.9,0.326,22,0 731 | 2,92,52,0,0,30.1,0.141,22,0 732 | 3,130,78,23,79,28.4,0.323,34,1 733 | 8,120,86,0,0,28.4,0.259,22,1 734 | 2,174,88,37,120,44.5,0.646,24,1 735 | 2,106,56,27,165,29,0.426,22,0 736 | 2,105,75,0,0,23.3,0.56,53,0 737 | 4,95,60,32,0,35.4,0.284,28,0 738 | 0,126,86,27,120,27.4,0.515,21,0 739 | 8,65,72,23,0,32,0.6,42,0 740 | 2,99,60,17,160,36.6,0.453,21,0 741 | 1,102,74,0,0,39.5,0.293,42,1 742 | 11,120,80,37,150,42.3,0.785,48,1 743 | 3,102,44,20,94,30.8,0.4,26,0 744 | 1,109,58,18,116,28.5,0.219,22,0 745 | 9,140,94,0,0,32.7,0.734,45,1 746 | 13,153,88,37,140,40.6,1.174,39,0 747 | 12,100,84,33,105,30,0.488,46,0 748 | 1,147,94,41,0,49.3,0.358,27,1 749 | 1,81,74,41,57,46.3,1.096,32,0 750 | 3,187,70,22,200,36.4,0.408,36,1 751 | 6,162,62,0,0,24.3,0.178,50,1 752 | 4,136,70,0,0,31.2,1.182,22,1 753 | 1,121,78,39,74,39,0.261,28,0 754 | 3,108,62,24,0,26,0.223,25,0 755 | 0,181,88,44,510,43.3,0.222,26,1 756 | 8,154,78,32,0,32.4,0.443,45,1 757 | 1,128,88,39,110,36.5,1.057,37,1 758 | 7,137,90,41,0,32,0.391,39,0 759 | 0,123,72,0,0,36.3,0.258,52,1 760 | 1,106,76,0,0,37.5,0.197,26,0 761 | 6,190,92,0,0,35.5,0.278,66,1 762 | 2,88,58,26,16,28.4,0.766,22,0 763 | 9,170,74,31,0,44,0.403,43,1 764 | 9,89,62,0,0,22.5,0.142,33,0 765 | 10,101,76,48,180,32.9,0.171,63,0 766 | 2,122,70,27,0,36.8,0.34,27,0 767 | 5,121,72,23,112,26.2,0.245,30,0 768 | 1,126,60,0,0,30.1,0.349,47,1 769 | 1,93,70,31,0,30.4,0.315,23,0 -------------------------------------------------------------------------------- /twitter/VBO.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/twitter/VBO.jpg -------------------------------------------------------------------------------- /veri tabanlari sql/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/veri tabanlari sql/.DS_Store -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/serkannpolatt/Data-Science-Notebooks/ac81ba9ed44bbb629f97ed2b94af30e8f1dc1241/veri tabanlari sql/sql_veri_setleri/.DS_Store -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Categories.csv: -------------------------------------------------------------------------------- 1 | CategoryID;CategoryName;Description 2 | 1;Beverages;Soft drinks, coffees, teas, beers, and ales 3 | 2;Condiments;Sweet and savory sauces, relishes, spreads, and seasonings 4 | 3;Confections;Desserts, candies, and sweet breads 5 | 4;Dairy Products;Cheeses 6 | 5;Grains/Cereals;Breads, crackers, pasta, and cereal 7 | 6;Meat/Poultry;Prepared meats 8 | 7;Produce;Dried fruit and bean curd 9 | 8;Seafood;Seaweed and fish -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Customers.csv: -------------------------------------------------------------------------------- 1 | CustomerID;CustomerName;ContactName;Address;City;PostalCode;Country 2 | 1;Alfreds Futterkiste;Maria Anders;Obere Str. 57;Berlin;12209;Germany 3 | 2;Ana Trujillo Emparedados y helados;Ana Trujillo;Avda. de la Constitución 2222;México D.F.;5021;Mexico 4 | 3;Antonio Moreno Taquería;Antonio Moreno;Mataderos 2312;México D.F.;5023;Mexico 5 | 4;Around the Horn;Thomas Hardy;120 Hanover Sq.;London;WA1 1DP;UK 6 | 5;Berglunds snabbköp;Christina Berglund;Berguvsvägen 8;Luleå;S-958 22;Sweden 7 | 6;Blauer See Delikatessen;Hanna Moos;Forsterstr. 57;Mannheim;68306;Germany 8 | 7;Blondel père et fils;Frédérique Citeaux;24, place Kléber;Strasbourg;67000;France 9 | 8;Bólido Comidas preparadas;Martín Sommer;C/ Araquil, 67;Madrid;28023;Spain 10 | 9;Bon app';Laurence Lebihans;12, rue des Bouchers;Marseille;13008;France 11 | 10;Bottom-Dollar Marketse;Elizabeth Lincoln;23 Tsawassen Blvd.;Tsawassen;T2F 8M4;Canada 12 | 11;B's Beverages;Victoria Ashworth;Fauntleroy Circus;London;EC2 5NT;UK 13 | 12;Cactus Comidas para llevar;Patricio Simpson;Cerrito 333;Buenos Aires;1010;Argentina 14 | 13;Centro comercial Moctezuma;Francisco Chang;Sierras de Granada 9993;México D.F.;5022;Mexico 15 | 14;Chop-suey Chinese;Yang Wang;Hauptstr. 29;Bern;3012;Switzerland 16 | 15;Comércio Mineiro;Pedro Afonso;Av. dos Lusíadas, 23;São Paulo;05432-043;Brazil 17 | 16;Consolidated Holdings;Elizabeth Brown;Berkeley Gardens 12 Brewery;London;WX1 6LT;UK 18 | 17;Drachenblut Delikatessend;Sven Ottlieb;Walserweg 21;Aachen;52066;Germany 19 | 18;Du monde entier;Janine Labrune;67, rue des Cinquante Otages;Nantes;44000;France 20 | 19;Eastern Connection;Ann Devon;35 King George;London;WX3 6FW;UK 21 | 20;Ernst Handel;Roland Mendel;Kirchgasse 6;Graz;8010;Austria 22 | 21;Familia Arquibaldo;Aria Cruz;Rua Orós, 92;São Paulo;05442-030;Brazil 23 | 22;FISSA Fabrica Inter. Salchichas S.A.;Diego Roel;C/ Moralzarzal, 86;Madrid;28034;Spain 24 | 23;Folies gourmandes;Martine Rancé;184, chaussée de Tournai;Lille;59000;France 25 | 24;Folk och fä HB;Maria Larsson;Åkergatan 24;Bräcke;S-844 67;Sweden 26 | 25;Frankenversand;Peter Franken;Berliner Platz 43;München;80805;Germany 27 | 26;France restauration;Carine Schmitt;54, rue Royale;Nantes;44000;France 28 | 27;Franchi S.p.A.;Paolo Accorti;Via Monte Bianco 34;Torino;10100;Italy 29 | 28;Furia Bacalhau e Frutos do Mar;Lino Rodriguez;Jardim das rosas n. 32;Lisboa;1675;Portugal 30 | 29;Galería del gastrónomo;Eduardo Saavedra;Rambla de Cataluña, 23;Barcelona;8022;Spain 31 | 30;Godos Cocina Típica;José Pedro Freyre;C/ Romero, 33;Sevilla;41101;Spain 32 | 31;Gourmet Lanchonetes;André Fonseca;Av. Brasil, 442;Campinas;04876-786;Brazil 33 | 32;Great Lakes Food Market;Howard Snyder;2732 Baker Blvd.;Eugene;97403;USA 34 | 33;GROSELLA-Restaurante;Manuel Pereira;5ª Ave. Los Palos Grandes;Caracas;1081;Venezuela 35 | 34;Hanari Carnes;Mario Pontes;Rua do Paço, 67;Rio de Janeiro;05454-876;Brazil 36 | 35;HILARIÓN-Abastos;Carlos Hernández;Carrera 22 con Ave. Carlos Soublette #8-35;San Cristóbal;5022;Venezuela 37 | 36;Hungry Coyote Import Store;Yoshi Latimer;City Center Plaza 516 Main St.;Elgin;97827;USA 38 | 37;Hungry Owl All-Night Grocers;Patricia McKenna;8 Johnstown Road;Cork;;Ireland 39 | 38;Island Trading;Helen Bennett;Garden House Crowther Way;Cowes;PO31 7PJ;UK 40 | 39;Königlich Essen;Philip Cramer;Maubelstr. 90;Brandenburg;14776;Germany 41 | 40;La corne d'abondance;Daniel Tonini;67, avenue de l'Europe;Versailles;78000;France 42 | 41;La maison d'Asie;Annette Roulet;1 rue Alsace-Lorraine;Toulouse;31000;France 43 | 42;Laughing Bacchus Wine Cellars;Yoshi Tannamuri;1900 Oak St.;Vancouver;V3F 2K1;Canada 44 | 43;Lazy K Kountry Store;John Steel;12 Orchestra Terrace;Walla Walla;99362;USA 45 | 44;Lehmanns Marktstand;Renate Messner;Magazinweg 7;Frankfurt a.M.;60528;Germany 46 | 45;Let's Stop N Shop;Jaime Yorres;87 Polk St. Suite 5;San Francisco;94117;USA 47 | 46;LILA-Supermercado;Carlos González;Carrera 52 con Ave. Bolívar #65-98 Llano Largo;Barquisimeto;3508;Venezuela 48 | 47;LINO-Delicateses;Felipe Izquierdo;Ave. 5 de Mayo Porlamar;I. de Margarita;4980;Venezuela 49 | 48;Lonesome Pine Restaurant;Fran Wilson;89 Chiaroscuro Rd.;Portland;97219;USA 50 | 49;Magazzini Alimentari Riuniti;Giovanni Rovelli;Via Ludovico il Moro 22;Bergamo;24100;Italy 51 | 50;Maison Dewey;Catherine Dewey;Rue Joseph-Bens 532;Bruxelles;B-1180;Belgium 52 | 51;Mère Paillarde;Jean Fresnière;43 rue St. Laurent;Montréal;H1J 1C3;Canada 53 | 52;Morgenstern Gesundkost;Alexander Feuer;Heerstr. 22;Leipzig;4179;Germany 54 | 53;North/South;Simon Crowther;South House 300 Queensbridge;London;SW7 1RZ;UK 55 | 54;Océano Atlántico Ltda.;Yvonne Moncada;Ing. Gustavo Moncada 8585 Piso 20-A;Buenos Aires;1010;Argentina 56 | 55;Old World Delicatessen;Rene Phillips;2743 Bering St.;Anchorage;99508;USA 57 | 56;Ottilies Käseladen;Henriette Pfalzheim;Mehrheimerstr. 369;Köln;50739;Germany 58 | 57;Paris spécialités;Marie Bertrand;265, boulevard Charonne;Paris;75012;France 59 | 58;Pericles Comidas clásicas;Guillermo Fernández;Calle Dr. Jorge Cash 321;México D.F.;5033;Mexico 60 | 59;Piccolo und mehr;Georg Pipps;Geislweg 14;Salzburg;5020;Austria 61 | 60;Princesa Isabel Vinhoss;Isabel de Castro;Estrada da saúde n. 58;Lisboa;1756;Portugal 62 | 61;Que Delícia;Bernardo Batista;Rua da Panificadora, 12;Rio de Janeiro;02389-673;Brazil 63 | 62;Queen Cozinha;Lúcia Carvalho;Alameda dos Canàrios, 891;São Paulo;05487-020;Brazil 64 | 63;QUICK-Stop;Horst Kloss;Taucherstraße 10;Cunewalde;1307;Germany 65 | 64;Rancho grande;Sergio Gutiérrez;Av. del Libertador 900;Buenos Aires;1010;Argentina 66 | 65;Rattlesnake Canyon Grocery;Paula Wilson;2817 Milton Dr.;Albuquerque;87110;USA 67 | 66;Reggiani Caseifici;Maurizio Moroni;Strada Provinciale 124;Reggio Emilia;42100;Italy 68 | 67;Ricardo Adocicados;Janete Limeira;Av. Copacabana, 267;Rio de Janeiro;02389-890;Brazil 69 | 68;Richter Supermarkt;Michael Holz;Grenzacherweg 237;Genève;1203;Switzerland 70 | 69;Romero y tomillo;Alejandra Camino;Gran Vía, 1;Madrid;28001;Spain 71 | 70;Santé Gourmet;Jonas Bergulfsen;Erling Skakkes gate 78;Stavern;4110;Norway 72 | 71;Save-a-lot Markets;Jose Pavarotti;187 Suffolk Ln.;Boise;83720;USA 73 | 72;Seven Seas Imports;Hari Kumar;90 Wadhurst Rd.;London;OX15 4NB;UK 74 | 73;Simons bistro;Jytte Petersen;Vinbæltet 34;København;1734;Denmark 75 | 74;Spécialités du monde;Dominique Perrier;25, rue Lauriston;Paris;75016;France 76 | 75;Split Rail Beer & Ale;Art Braunschweiger;P.O. Box 555;Lander;82520;USA 77 | 76;Suprêmes délices;Pascale Cartrain;Boulevard Tirou, 255;Charleroi;B-6000;Belgium 78 | 77;The Big Cheese;Liz Nixon;89 Jefferson Way Suite 2;Portland;97201;USA 79 | 78;The Cracker Box;Liu Wong;55 Grizzly Peak Rd.;Butte;59801;USA 80 | 79;Toms Spezialitäten;Karin Josephs;Luisenstr. 48;Münster;44087;Germany 81 | 80;Tortuga Restaurante;Miguel Angel Paolino;Avda. Azteca 123;México D.F.;5033;Mexico 82 | 81;Tradição Hipermercados;Anabela Domingues;Av. Inês de Castro, 414;São Paulo;05634-030;Brazil 83 | 82;Trail's Head Gourmet Provisioners;Helvetius Nagy;722 DaVinci Blvd.;Kirkland;98034;USA 84 | 83;Vaffeljernet;Palle Ibsen;Smagsløget 45;Århus;8200;Denmark 85 | 84;Victuailles en stock;Mary Saveley;2, rue du Commerce;Lyon;69004;France 86 | 85;Vins et alcools Chevalier;Paul Henriot;59 rue de l'Abbaye;Reims;51100;France 87 | 86;Die Wandernde Kuh;Rita Müller;Adenauerallee 900;Stuttgart;70563;Germany 88 | 87;Wartian Herkku;Pirkko Koskitalo;Torikatu 38;Oulu;90110;Finland 89 | 88;Wellington Importadora;Paula Parente;Rua do Mercado, 12;Resende;08737-363;Brazil 90 | 89;White Clover Markets;Karl Jablonski;305 - 14th Ave. S. Suite 3B;Seattle;98128;USA 91 | 90;Wilman Kala;Matti Karttunen;Keskuskatu 45;Helsinki;21240;Finland 92 | 91;Wolski;Zbyszek;ul. Filtrowa 68;Walla;01-012;Poland -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Employees.csv: -------------------------------------------------------------------------------- 1 | EmployeeID;LastName;FirstName;BirthDate;Photo;Notes 2 | 1;Davolio;Nancy;8.12.1968;EmpID1.pic;Education includes a BA in psychology from Colorado State University. She also completed (The Art of the Cold Call). Nancy is a member of 'Toastmasters International'. 3 | 2;Fuller;Andrew;19.02.1952;EmpID2.pic;Andrew received his BTS commercial and a Ph.D. in international marketing from the University of Dallas. He is fluent in French and Italian and reads German. He joined the company as a sales representative, was promoted to sales manager and was then named vice president of sales. Andrew is a member of the Sales Management Roundtable, the Seattle Chamber of Commerce, and the Pacific Rim Importers Association. 4 | 3;Leverling;Janet;30.08.1963;EmpID3.pic;Janet has a BS degree in chemistry from Boston College). She has also completed a certificate program in food retailing management. Janet was hired as a sales associate and was promoted to sales representative. 5 | 4;Peacock;Margaret;19.09.1958;EmpID4.pic;Margaret holds a BA in English literature from Concordia College and an MA from the American Institute of Culinary Arts. She was temporarily assigned to the London office before returning to her permanent post in Seattle. 6 | 5;Buchanan;Steven;4.03.1955;EmpID5.pic;Steven Buchanan graduated from St. Andrews University, Scotland, with a BSC degree. Upon joining the company as a sales representative, he spent 6 months in an orientation program at the Seattle office and then returned to his permanent post in London, where he was promoted to sales manager. Mr. Buchanan has completed the courses 'Successful Telemarketing' and 'International Sales Management'. He is fluent in French. 7 | 6;Suyama;Michael;2.07.1963;EmpID6.pic;Michael is a graduate of Sussex University (MA, economics) and the University of California at Los Angeles (MBA, marketing). He has also taken the courses 'Multi-Cultural Selling' and 'Time Management for the Sales Professional'. He is fluent in Japanese and can read and write French, Portuguese, and Spanish. 8 | 7;King;Robert;29.05.1960;EmpID7.pic;Robert King served in the Peace Corps and traveled extensively before completing his degree in English at the University of Michigan and then joining the company. After completing a course entitled 'Selling in Europe', he was transferred to the London office. 9 | 8;Callahan;Laura;9.01.1958;EmpID8.pic;Laura received a BA in psychology from the University of Washington. She has also completed a course in business French. She reads and writes French. 10 | 9;Dodsworth;Anne;2.07.1969;EmpID9.pic;Anne has a BA degree in English from St. Lawrence College. She is fluent in French and German. 11 | 10;West;Adam;19.09.1928;EmpID10.pic;An old chum. -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/OrderDetails.csv: -------------------------------------------------------------------------------- 1 | OrderDetailID;OrderID;ProductID;Quantity 2 | 1;10248;11;12 3 | 2;10248;42;10 4 | 3;10248;72;5 5 | 4;10249;14;9 6 | 5;10249;51;40 7 | 6;10250;41;10 8 | 7;10250;51;35 9 | 8;10250;65;15 10 | 9;10251;22;6 11 | 10;10251;57;15 12 | 11;10251;65;20 13 | 12;10252;20;40 14 | 13;10252;33;25 15 | 14;10252;60;40 16 | 15;10253;31;20 17 | 16;10253;39;42 18 | 17;10253;49;40 19 | 18;10254;24;15 20 | 19;10254;55;21 21 | 20;10254;74;21 22 | 21;10255;2;20 23 | 22;10255;16;35 24 | 23;10255;36;25 25 | 24;10255;59;30 26 | 25;10256;53;15 27 | 26;10256;77;12 28 | 27;10257;27;25 29 | 28;10257;39;6 30 | 29;10257;77;15 31 | 30;10258;2;50 32 | 31;10258;5;65 33 | 32;10258;32;6 34 | 33;10259;21;10 35 | 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406;10400;29;21 408 | 407;10400;35;35 409 | 408;10400;49;30 410 | 409;10401;30;18 411 | 410;10401;56;70 412 | 411;10401;65;20 413 | 412;10401;71;60 414 | 413;10402;23;60 415 | 414;10402;63;65 416 | 415;10403;16;21 417 | 416;10403;48;70 418 | 417;10404;26;30 419 | 418;10404;42;40 420 | 419;10404;49;30 421 | 420;10405;3;50 422 | 421;10406;1;10 423 | 422;10406;21;30 424 | 423;10406;28;42 425 | 424;10406;36;5 426 | 425;10406;40;2 427 | 426;10407;11;30 428 | 427;10407;69;15 429 | 428;10407;71;15 430 | 429;10408;37;10 431 | 430;10408;54;6 432 | 431;10408;62;35 433 | 432;10409;14;12 434 | 433;10409;21;12 435 | 434;10410;33;49 436 | 435;10410;59;16 437 | 436;10411;41;25 438 | 437;10411;44;40 439 | 438;10411;59;9 440 | 439;10412;14;20 441 | 440;10413;1;24 442 | 441;10413;62;40 443 | 442;10413;76;14 444 | 443;10414;19;18 445 | 444;10414;33;50 446 | 445;10415;17;2 447 | 446;10415;33;20 448 | 447;10416;19;20 449 | 448;10416;53;10 450 | 449;10416;57;20 451 | 450;10417;38;50 452 | 451;10417;46;2 453 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| 498;10436;56;40 500 | 499;10436;64;30 501 | 500;10436;75;24 502 | 501;10437;53;15 503 | 502;10438;19;15 504 | 503;10438;34;20 505 | 504;10438;57;15 506 | 505;10439;12;15 507 | 506;10439;16;16 508 | 507;10439;64;6 509 | 508;10439;74;30 510 | 509;10440;2;45 511 | 510;10440;16;49 512 | 511;10440;29;24 513 | 512;10440;61;90 514 | 513;10441;27;50 515 | 514;10442;11;30 516 | 515;10442;54;80 517 | 516;10442;66;60 518 | 517;10443;11;6 519 | 518;10443;28;12 -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Orders.csv: -------------------------------------------------------------------------------- 1 | OrderID;CustomerID;EmployeeID;OrderDate;ShipperID 2 | 10248;90;5;4.07.1996;3 3 | 10249;81;6;5.07.1996;1 4 | 10250;34;4;8.07.1996;2 5 | 10251;84;3;8.07.1996;1 6 | 10252;76;4;9.07.1996;2 7 | 10253;34;3;10.07.1996;2 8 | 10254;14;5;11.07.1996;2 9 | 10255;68;9;12.07.1996;3 10 | 10256;88;3;15.07.1996;2 11 | 10257;35;4;16.07.1996;3 12 | 10258;20;1;17.07.1996;1 13 | 10259;13;4;18.07.1996;3 14 | 10260;55;4;19.07.1996;1 15 | 10261;61;4;19.07.1996;2 16 | 10262;65;8;22.07.1996;3 17 | 10263;20;9;23.07.1996;3 18 | 10264;24;6;24.07.1996;3 19 | 10265;7;2;25.07.1996;1 20 | 10266;87;3;26.07.1996;3 21 | 10267;25;4;29.07.1996;1 22 | 10268;33;8;30.07.1996;3 23 | 10269;89;5;31.07.1996;1 24 | 10270;87;1;1.08.1996;1 25 | 10271;75;6;1.08.1996;2 26 | 10272;65;6;2.08.1996;2 27 | 10273;63;3;5.08.1996;3 28 | 10274;85;6;6.08.1996;1 29 | 10275;49;1;7.08.1996;1 30 | 10276;80;8;8.08.1996;3 31 | 10277;52;2;9.08.1996;3 32 | 10278;5;8;12.08.1996;2 33 | 10279;44;8;13.08.1996;2 34 | 10280;5;2;14.08.1996;1 35 | 10281;69;4;14.08.1996;1 36 | 10282;69;4;15.08.1996;1 37 | 10283;46;3;16.08.1996;3 38 | 10284;44;4;19.08.1996;1 39 | 10285;63;1;20.08.1996;2 40 | 10286;63;8;21.08.1996;3 41 | 10287;67;8;22.08.1996;3 42 | 10288;66;4;23.08.1996;1 43 | 10289;11;7;26.08.1996;3 44 | 10290;15;8;27.08.1996;1 45 | 10291;61;6;27.08.1996;2 46 | 10292;81;1;28.08.1996;2 47 | 10293;80;1;29.08.1996;3 48 | 10294;65;4;30.08.1996;2 49 | 10295;85;2;2.09.1996;2 50 | 10296;46;6;3.09.1996;1 51 | 10297;7;5;4.09.1996;2 52 | 10298;37;6;5.09.1996;2 53 | 10299;67;4;6.09.1996;2 54 | 10300;49;2;9.09.1996;2 55 | 10301;86;8;9.09.1996;2 56 | 10302;76;4;10.09.1996;2 57 | 10303;30;7;11.09.1996;2 58 | 10304;80;1;12.09.1996;2 59 | 10305;55;8;13.09.1996;3 60 | 10306;69;1;16.09.1996;3 61 | 10307;48;2;17.09.1996;2 62 | 10308;2;7;18.09.1996;3 63 | 10309;37;3;19.09.1996;1 64 | 10310;77;8;20.09.1996;2 65 | 10311;18;1;20.09.1996;3 66 | 10312;86;2;23.09.1996;2 67 | 10313;63;2;24.09.1996;2 68 | 10314;65;1;25.09.1996;2 69 | 10315;38;4;26.09.1996;2 70 | 10316;65;1;27.09.1996;3 71 | 10317;48;6;30.09.1996;1 72 | 10318;38;8;1.10.1996;2 73 | 10319;80;7;2.10.1996;3 74 | 10320;87;5;3.10.1996;3 75 | 10321;38;3;3.10.1996;2 76 | 10322;58;7;4.10.1996;3 77 | 10323;39;4;7.10.1996;1 78 | 10324;71;9;8.10.1996;1 79 | 10325;39;1;9.10.1996;3 80 | 10326;8;4;10.10.1996;2 81 | 10327;24;2;11.10.1996;1 82 | 10328;28;4;14.10.1996;3 83 | 10329;75;4;15.10.1996;2 84 | 10330;46;3;16.10.1996;1 85 | 10331;9;9;16.10.1996;1 86 | 10332;51;3;17.10.1996;2 87 | 10333;87;5;18.10.1996;3 88 | 10334;84;8;21.10.1996;2 89 | 10335;37;7;22.10.1996;2 90 | 10336;60;7;23.10.1996;2 91 | 10337;25;4;24.10.1996;3 92 | 10338;55;4;25.10.1996;3 93 | 10339;51;2;28.10.1996;2 94 | 10340;9;1;29.10.1996;3 95 | 10341;73;7;29.10.1996;3 96 | 10342;25;4;30.10.1996;2 97 | 10343;44;4;31.10.1996;1 98 | 10344;89;4;1.11.1996;2 99 | 10345;63;2;4.11.1996;2 100 | 10346;65;3;5.11.1996;3 101 | 10347;21;4;6.11.1996;3 102 | 10348;86;4;7.11.1996;2 103 | 10349;75;7;8.11.1996;1 104 | 10350;41;6;11.11.1996;2 105 | 10351;20;1;11.11.1996;1 106 | 10352;28;3;12.11.1996;3 107 | 10353;59;7;13.11.1996;3 108 | 10354;58;8;14.11.1996;3 109 | 10355;4;6;15.11.1996;1 110 | 10356;86;6;18.11.1996;2 111 | 10357;46;1;19.11.1996;3 112 | 10358;41;5;20.11.1996;1 113 | 10359;72;5;21.11.1996;3 114 | 10360;7;4;22.11.1996;3 115 | 10361;63;1;22.11.1996;2 116 | 10362;9;3;25.11.1996;1 117 | 10363;17;4;26.11.1996;3 118 | 10364;19;1;26.11.1996;1 119 | 10365;3;3;27.11.1996;2 120 | 10366;29;8;28.11.1996;2 121 | 10367;83;7;28.11.1996;3 122 | 10368;20;2;29.11.1996;2 123 | 10369;75;8;2.12.1996;2 124 | 10370;14;6;3.12.1996;2 125 | 10371;41;1;3.12.1996;1 126 | 10372;62;5;4.12.1996;2 127 | 10373;37;4;5.12.1996;3 128 | 10374;91;1;5.12.1996;3 129 | 10375;36;3;6.12.1996;2 130 | 10376;51;1;9.12.1996;2 131 | 10377;72;1;9.12.1996;3 132 | 10378;24;5;10.12.1996;3 133 | 10379;61;2;11.12.1996;1 134 | 10380;37;8;12.12.1996;3 135 | 10381;46;3;12.12.1996;3 136 | 10382;20;4;13.12.1996;1 137 | 10383;4;8;16.12.1996;3 138 | 10384;5;3;16.12.1996;3 139 | 10385;75;1;17.12.1996;2 140 | 10386;21;9;18.12.1996;3 141 | 10387;70;1;18.12.1996;2 142 | 10388;72;2;19.12.1996;1 143 | 10389;10;4;20.12.1996;2 144 | 10390;20;6;23.12.1996;1 145 | 10391;17;3;23.12.1996;3 146 | 10392;59;2;24.12.1996;3 147 | 10393;71;1;25.12.1996;3 148 | 10394;36;1;25.12.1996;3 149 | 10395;35;6;26.12.1996;1 150 | 10396;25;1;27.12.1996;3 151 | 10397;60;5;27.12.1996;1 152 | 10398;71;2;30.12.1996;3 153 | 10399;83;8;31.12.1996;3 154 | 10400;19;1;1.01.1997;3 155 | 10401;65;1;1.01.1997;1 156 | 10402;20;8;2.01.1997;2 157 | 10403;20;4;3.01.1997;3 158 | 10404;49;2;3.01.1997;1 159 | 10405;47;1;6.01.1997;1 160 | 10406;62;7;7.01.1997;1 161 | 10407;56;2;7.01.1997;2 162 | 10408;23;8;8.01.1997;1 163 | 10409;54;3;9.01.1997;1 164 | 10410;10;3;10.01.1997;3 165 | 10411;10;9;10.01.1997;3 166 | 10412;87;8;13.01.1997;2 167 | 10413;41;3;14.01.1997;2 168 | 10414;21;2;14.01.1997;3 169 | 10415;36;3;15.01.1997;1 170 | 10416;87;8;16.01.1997;3 171 | 10417;73;4;16.01.1997;3 172 | 10418;63;4;17.01.1997;1 173 | 10419;68;4;20.01.1997;2 174 | 10420;88;3;21.01.1997;1 175 | 10421;61;8;21.01.1997;1 176 | 10422;27;2;22.01.1997;1 177 | 10423;31;6;23.01.1997;3 178 | 10424;51;7;23.01.1997;2 179 | 10425;41;6;24.01.1997;2 180 | 10426;29;4;27.01.1997;1 181 | 10427;59;4;27.01.1997;2 182 | 10428;66;7;28.01.1997;1 183 | 10429;37;3;29.01.1997;2 184 | 10430;20;4;30.01.1997;1 185 | 10431;10;4;30.01.1997;2 186 | 10432;75;3;31.01.1997;2 187 | 10433;60;3;3.02.1997;3 188 | 10434;24;3;3.02.1997;2 189 | 10435;16;8;4.02.1997;2 190 | 10436;7;3;5.02.1997;2 191 | 10437;87;8;5.02.1997;1 192 | 10438;79;3;6.02.1997;2 193 | 10439;51;6;7.02.1997;3 194 | 10440;71;4;10.02.1997;2 195 | 10441;55;3;10.02.1997;2 196 | 10442;20;3;11.02.1997;2 197 | 10443;66;8;12.02.1997;1 -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Products.csv: -------------------------------------------------------------------------------- 1 | ProductID;ProductName;SupplierID;CategoryID;Unit;Price 2 | 1;Chais;1;1;10 boxes x 20 bags;18 3 | 2;Chang;1;1;24 - 12 oz bottles;19 4 | 3;Aniseed Syrup;1;2;12 - 550 ml bottles;10 5 | 4;Chef Anton's Cajun Seasoning;2;2;48 - 6 oz jars;22 6 | 5;Chef Anton's Gumbo Mix;2;2;36 boxes;21 7 | 6;Grandma's Boysenberry Spread;3;2;12 - 8 oz jars;25 8 | 7;Uncle Bob's Organic Dried Pears;3;7;12 - 1 lb pkgs.;30 9 | 8;Northwoods Cranberry Sauce;3;2;12 - 12 oz jars;40 10 | 9;Mishi Kobe Niku;4;6;18 - 500 g pkgs.;97 11 | 10;Ikura;4;8;12 - 200 ml jars;31 12 | 11;Queso Cabrales;5;4;1 kg pkg.;21 13 | 12;Queso Manchego La Pastora;5;4;10 - 500 g pkgs.;38 14 | 13;Konbu;6;8;2 kg box;6 15 | 14;Tofu;6;7;40 - 100 g pkgs.;23 16 | 15;Genen Shouyu;6;2;24 - 250 ml bottles;43 17 | 16;Pavlova;7;3;32 - 500 g boxes;17 18 | 17;Alice Mutton;7;6;20 - 1 kg tins;39 19 | 18;Carnarvon Tigers;7;8;16 kg pkg.;62 20 | 19;Teatime Chocolate Biscuits;8;3;10 boxes x 12 pieces;43 21 | 20;Sir Rodney's Marmalade;8;3;30 gift boxes;81 22 | 21;Sir Rodney's Scones;8;3;24 pkgs. x 4 pieces;10 23 | 22;Gustaf's Knäckebröd;9;5;24 - 500 g pkgs.;21 24 | 23;Tunnbröd;9;5;12 - 250 g pkgs.;9 25 | 24;Guaraná Fantástica;10;1;12 - 355 ml cans;43 26 | 25;NuNuCa Nuß-Nougat-Creme;11;3;20 - 450 g glasses;14 27 | 26;Gumbär Gummibärchen;11;3;100 - 250 g bags;31 28 | 27;Schoggi Schokolade;11;3;100 - 100 g pieces;43 29 | 28;Rössle Sauerkraut;12;7;25 - 825 g cans;45 30 | 29;Thüringer Rostbratwurst;12;6;50 bags x 30 sausgs.;123 31 | 30;Nord-Ost Matjeshering;13;8;10 - 200 g glasses;25 32 | 31;Gorgonzola Telino;14;4;12 - 100 g pkgs;435 33 | 32;Mascarpone Fabioli;14;4;24 - 200 g pkgs.;32 34 | 33;Geitost;15;4;500 g;43 35 | 34;Sasquatch Ale;16;1;24 - 12 oz bottles;14 36 | 35;Steeleye Stout;16;1;24 - 12 oz bottles;18 37 | 36;Inlagd Sill;17;8;24 - 250 g jars;19 38 | 37;Gravad lax;17;8;12 - 500 g pkgs.;26 39 | 38;Côte de Blaye;18;1;12 - 75 cl bottles;263 40 | 39;Chartreuse verte;18;1;750 cc per bottle;18 41 | 40;Boston Crab Meat;19;8;24 - 4 oz tins;43 42 | 41;Jack's New England Clam Chowder;19;8;12 - 12 oz cans;23 43 | 42;Singaporean Hokkien Fried Mee;20;5;32 - 1 kg pkgs.;14 44 | 43;Ipoh Coffee;20;1;16 - 500 g tins;46 45 | 44;Gula Malacca;20;2;20 - 2 kg bags;19 46 | 45;Røgede sild;21;8;1k pkg.;43 47 | 46;Spegesild;21;8;4 - 450 g glasses;12 48 | 47;Zaanse koeken;22;3;10 - 4 oz boxes;43 49 | 48;Chocolade;22;3;10 pkgs.;27 50 | 49;Maxilaku;23;3;24 - 50 g pkgs.;20 51 | 50;Valkoinen suklaa;23;3;12 - 100 g bars;16 52 | 51;Manjimup Dried Apples;24;7;50 - 300 g pkgs.;53 53 | 52;Filo Mix;24;5;16 - 2 kg boxes;7 54 | 53;Perth Pasties;24;6;48 pieces;32 55 | 54;Tourtière;25;6;16 pies;16 56 | 55;Pâté chinois;25;6;24 boxes x 2 pies;24 57 | 56;Gnocchi di nonna Alice;26;5;24 - 250 g pkgs.;38 58 | 57;Ravioli Angelo;26;5;24 - 250 g pkgs.;43 59 | 58;Escargots de Bourgogne;27;8;24 pieces;13 60 | 59;Raclette Courdavault;28;4;5 kg pkg.;55 61 | 60;Camembert Pierrot;28;4;15 - 300 g rounds;34 62 | 61;Sirop d'érable;29;2;24 - 500 ml bottles;43 63 | 62;Tarte au sucre;29;3;48 pies;49 64 | 63;Vegie-spread;7;2;15 - 625 g jars;43 65 | 64;Wimmers gute Semmelknödel;12;5;20 bags x 4 pieces;33 66 | 65;Louisiana Fiery Hot Pepper Sauce;2;2;32 - 8 oz bottles;43 67 | 66;Louisiana Hot Spiced Okra;2;2;24 - 8 oz jars;17 68 | 67;Laughing Lumberjack Lager;16;1;24 - 12 oz bottles;14 69 | 68;Scottish Longbreads;8;3;10 boxes x 8 pieces;45 70 | 69;Gudbrandsdalsost;15;4;10 kg pkg.;36 71 | 70;Outback Lager;7;1;24 - 355 ml bottles;15 72 | 71;Fløtemysost;15;4;10 - 500 g pkgs.;21 73 | 72;Mozzarella di Giovanni;14;4;24 - 200 g pkgs.;34 74 | 73;Röd Kaviar;17;8;24 - 150 g jars;15 75 | 74;Longlife Tofu;4;7;5 kg pkg.;10 76 | 75;Rhönbräu Klosterbier;12;1;24 - 0.5 l bottles;27 77 | 76;Lakkalikööri;23;1;500 ml;18 78 | 77;Original Frankfurter grüne Soße;12;2;12 boxes;13 -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Shippers.csv: -------------------------------------------------------------------------------- 1 | ShipperID;ShipperName;Phone 2 | 1;Speedy Express;(503) 555-9831 3 | 2;United Package;(503) 555-3199 4 | 3;Federal Shipping;(503) 555-9931 -------------------------------------------------------------------------------- /veri tabanlari sql/sql_veri_setleri/Suppliers.csv: -------------------------------------------------------------------------------- 1 | SupplierID;SupplierName;ContactName;Address;City;PostalCode;Country;Phone 2 | 1;Exotic Liquid;Charlotte Cooper;49 Gilbert St.;Londona;EC1 4SD;UK;(171) 555-2222 3 | 2;New Orleans Cajun Delights;Shelley Burke;P.O. Box 78934;New Orleans;70117;USA;(100) 555-4822 4 | 3;Grandma Kelly's Homestead;Regina Murphy;707 Oxford Rd.;Ann Arbor;48104;USA;(313) 555-5735 5 | 4;Tokyo Traders;Yoshi Nagase;9-8 Sekimai Musashino-shi;Tokyo;100;Japan;(03) 3555-5011 6 | 5;Cooperativa de Quesos 'Las Cabras';Antonio del Valle Saavedra;Calle del Rosal 4;Oviedo;33007;Spain;(98) 598 76 54 7 | 6;Mayumi's;Mayumi Ohno;92 Setsuko Chuo-ku;Osaka;545;Japan;(06) 431-7877 8 | 7;Pavlova, Ltd.;Ian Devling;74 Rose St. Moonie Ponds;Melbourne;3058;Australia;(03) 444-2343 9 | 8;Specialty Biscuits, Ltd.;Peter Wilson;29 King's Way;Manchester;M14 GSD;UK;(161) 555-4448 10 | 9;PB Knäckebröd AB;Lars Peterson;Kaloadagatan 13;Göteborg;S-345 67;Sweden;031-987 65 43 11 | 10;Refrescos Americanas LTDA;Carlos Diaz;Av. das Americanas 12.890;São Paulo;5442;Brazil;(11) 555 4640 12 | 11;Heli Süßwaren GmbH & Co. KG;Petra Winkler;Tiergartenstraße 5;Berlin;10785;Germany;(010) 9984510 13 | 12;Plutzer Lebensmittelgroßmärkte AG;Martin Bein;Bogenallee 51;Frankfurt;60439;Germany;(069) 992755 14 | 13;Nord-Ost-Fisch Handelsgesellschaft mbH;Sven Petersen;Frahmredder 112a;Cuxhaven;27478;Germany;(04721) 8713 15 | 14;Formaggi Fortini s.r.l.;Elio Rossi;Viale Dante, 75;Ravenna;48100;Italy;(0544) 60323 16 | 15;Norske Meierier;Beate Vileid;Hatlevegen 5;Sandvika;1320;Norway;(0)2-953010 17 | 16;Bigfoot Breweries;Cheryl Saylor;3400 - 8th Avenue Suite 210;Bend;97101;USA;(503) 555-9931 18 | 17;Svensk Sjöföda AB;Michael Björn;Brovallavägen 231;Stockholm;S-123 45;Sweden;08-123 45 67 19 | 18;Aux joyeux ecclésiastiques;Guylène Nodier;203, Rue des Francs-Bourgeois;Paris;75004;France;(1) 03.83.00.68 20 | 19;New England Seafood Cannery;Robb Merchant;Order Processing Dept. 2100 Paul Revere Blvd.;Boston;2134;USA;(617) 555-3267 21 | 20;Leka Trading;Chandra Leka;471 Serangoon Loop, Suite #402;Singapore;512;Singapore;555-8787 22 | 21;Lyngbysild;Niels Petersen;Lyngbysild Fiskebakken 10;Lyngby;2800;Denmark;43844108 23 | 22;Zaanse Snoepfabriek;Dirk Luchte;Verkoop Rijnweg 22;Zaandam;9999 ZZ;Netherlands;(12345) 1212 24 | 23;Karkki Oy;Anne Heikkonen;Valtakatu 12;Lappeenranta;53120;Finland;(953) 10956 25 | 24;G'day, Mate;Wendy Mackenzie;170 Prince Edward Parade Hunter's Hill;Sydney;2042;Australia;(02) 555-5914 26 | 25;Ma Maison;Jean-Guy Lauzon;2960 Rue St. Laurent;Montréal;H1J 1C3;Canada;(514) 555-9022 27 | 26;Pasta Buttini s.r.l.;Giovanni Giudici;Via dei Gelsomini, 153;Salerno;84100;Italy;(089) 6547665 28 | 27;Escargots Nouveaux;Marie Delamare;22, rue H. Voiron;Montceau;71300;France;85.57.00.07 29 | 28;Gai pâturage;Eliane Noz;Bat. B 3, rue des Alpes;Annecy;74000;France;38.76.98.06 30 | 29;Forêts d'érables;Chantal Goulet;148 rue Chasseur;Ste-Hyacinthe;J2S 7S8;Canada;(514) 555-2955 --------------------------------------------------------------------------------