├── Procfile ├── documents ├── HLD Report.pdf ├── LLD Report.pdf ├── Wireframe Document.pdf ├── Architecture Design.pdf └── Insurance Premium Prediction DPR.pptx ├── images ├── webapp interface-1 .png └── webapp interface-2.png ├── gradient_boosting_regressor_model.pkl ├── static └── css │ └── style.css ├── app.py ├── requirements.txt ├── README.md ├── templates └── index.html ├── LICENSE ├── insurance.csv └── clean_data.csv /Procfile: -------------------------------------------------------------------------------- 1 | web: gunicorn app:app --preload 2 | -------------------------------------------------------------------------------- /documents/HLD Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/documents/HLD Report.pdf -------------------------------------------------------------------------------- /documents/LLD Report.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/documents/LLD Report.pdf -------------------------------------------------------------------------------- /images/webapp interface-1 .png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/images/webapp interface-1 .png -------------------------------------------------------------------------------- /images/webapp interface-2.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/images/webapp interface-2.png -------------------------------------------------------------------------------- /documents/Wireframe Document.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/documents/Wireframe Document.pdf -------------------------------------------------------------------------------- /documents/Architecture Design.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/documents/Architecture Design.pdf -------------------------------------------------------------------------------- /gradient_boosting_regressor_model.pkl: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/gradient_boosting_regressor_model.pkl -------------------------------------------------------------------------------- /documents/Insurance Premium Prediction DPR.pptx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/nikhilpatil44/insurance-premium-prediction/HEAD/documents/Insurance Premium Prediction DPR.pptx -------------------------------------------------------------------------------- /static/css/style.css: -------------------------------------------------------------------------------- 1 | .{ 2 | margin: 0; 3 | padding: 0; 4 | box-sizing: border-box; 5 | } 6 | 7 | .bg-dark{ 8 | background-color: #75767B 9 | } 10 | 11 | .mt-50{ 12 | margin-top: 50px; 13 | } -------------------------------------------------------------------------------- /app.py: -------------------------------------------------------------------------------- 1 | from flask import Flask, request, render_template 2 | import pandas as pd 3 | import pickle 4 | 5 | app = Flask(__name__) 6 | 7 | 8 | file = open("./gradient_boosting_regressor_model.pkl", 'rb') 9 | model = pickle.load(file) 10 | 11 | data = pd.read_csv('./clean_data.csv') 12 | data.head() 13 | 14 | @app.route('/') 15 | def index(): 16 | sex = sorted(data['sex'].unique()) 17 | smoker = sorted(data['smoker'].unique()) 18 | region = sorted(data['region'].unique()) 19 | return render_template('index.html', sex= sex, smoker= smoker, region= region) 20 | 21 | @app.route('/predict', methods=['POST']) 22 | def predict(): 23 | age = int(request.form.get('age')) 24 | sex = request.form.get('sex') 25 | bmi = float(request.form.get('bmi')) 26 | children = int(request.form.get('children')) 27 | smoker = request.form.get('smoker') 28 | region = request.form.get('region') 29 | 30 | prediction = model.predict(pd.DataFrame([[age, sex, bmi, children, smoker, region]], 31 | columns=['age', 'sex', 'bmi', 'children', 'smoker', 'region'])) 32 | 33 | return str(prediction[0]) 34 | 35 | if __name__=="__main__": 36 | app.run(debug=True) 37 | -------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | astroid==2.5.6 2 | attrs==21.2.0 3 | backcall==0.2.0 4 | certifi==2021.5.30 5 | click==8.0.1 6 | colorama==0.4.4 7 | cycler==0.10.0 8 | decorator==5.0.9 9 | Flask==2.0.1 10 | gunicorn==20.0.4 11 | ipykernel==5.5.5 12 | ipython==7.23.1 13 | ipython-genutils==0.2.0 14 | isort==5.8.0 15 | itsdangerous==2.0.1 16 | jedi==0.18.0 17 | Jinja2==3.0.1 18 | joblib==1.0.1 19 | jsonschema==3.2.0 20 | jupyter-client==6.1.12 21 | jupyter-core==4.7.1 22 | kiwisolver==1.3.1 23 | lazy-object-proxy==1.6.0 24 | MarkupSafe==2.0.1 25 | matplotlib==3.4.3 26 | matplotlib-inline==0.1.2 27 | mccabe==0.6.1 28 | nbformat==5.1.3 29 | numpy==1.21.2 30 | pandas==1.3.2 31 | parso==0.8.2 32 | patsy==0.5.1 33 | pickleshare==0.7.5 34 | Pillow==8.3.1 35 | plotly==5.2.2 36 | prompt-toolkit==3.0.18 37 | Pygments==2.9.0 38 | pylint==2.8.3 39 | pyparsing==2.4.7 40 | pyrsistent==0.18.0 41 | python-dateutil 42 | pytz==2021.1 43 | pyzmq==22.0.3 44 | scikit-learn==0.24.2 45 | scipy==1.6.3 46 | seaborn==0.11.2 47 | six 48 | sklearn==0.0 49 | statsmodels==0.12.2 50 | tenacity==8.0.1 51 | threadpoolctl==2.2.0 52 | toml==0.10.2 53 | tornado==6.1 54 | traitlets==5.0.5 55 | wcwidth==0.2.5 56 | Werkzeug==2.0.1 57 | wincertstore==0.2 58 | wrapt==1.12.1 59 | xgboost==1.4.2 60 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Insurance Premium Prediction 2 | 3 | ## Problem Statement : 4 | The goal of this project to give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks whilwe keeping the projected cost from our study in mind. This can assist a person in concentrating on the health side of an insurance policy rather than the ineffective part. 5 | 6 | ## Dataset : 7 | The dataset is taken from a Kaggle. You can download the dataset from [here](https://www.kaggle.com/noordeen/insurance-premium-prediction) 8 | 9 | ## Approach : 10 | Applying machine learing tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building and model testing to build a solution that should able to predict the premium of the personal for health insurance. 11 | 12 | - **Data Exploration :** Exploring the dataset using pandas, numpy, matplotlib, plotly and seaborn. 13 | - **Exploratory Data Analysis :** Plotted different graphs to get more insights about dependent and independent variables/features. 14 | - **Feature Engineering :** Numerical features scaled down and Categorical features encoded. 15 | - **Model Building :** In this step, first dataset Splitting is done. After that model is trained on different Machine Learning Algorithms such as: 16 | 1) Linear Regression 17 | 2) Decision Tree Regressor 18 | 3) Random Forest Regressor 19 | 4) Gradient Boosting Regressor 20 | 5) XGBoost Regressor 21 | 6) KNN 22 | - **Model Selection :** Tested all the models to check the RMSE & R-squared. 23 | - **Pickle File** : Selected model as per best RMSE score & R-squared and created pickle file using pickle library. 24 | - **Webpage &Deployment :** Created a web application that takes all the necessary inputs from the user & shows the output. Then deployed project on the Heroku Platform. 25 | 26 | 27 | ## Deployment Link : 28 | https://insurance-premium-prediction1.herokuapp.com/ 29 | 30 | 31 | ## Web Inerface : 32 | ![alt text](https://github.com/nikhilpatil44/insurance-premium-prediction/blob/main/images/webapp%20interface-2.png) 33 | 34 | 35 | ![alt text](https://github.com/nikhilpatil44/insurance-premium-prediction/blob/main/images/webapp%20interface-1%20.png) 36 | 37 | 38 | ## Libraries used : 39 | 1) Pandas 40 | 2) Numpy 41 | 3) Matplotlib, Seaborn, Plotly 42 | 4) Scikit-Learn 43 | 5) Flask 44 | 6) HTML 45 | 7) CSS 46 | 47 | ## Technical Aspects : 48 | 1) Python 49 | 2) Front-end : HTML, CSS 50 | 3) Back-end : Flask 51 | 4) Deployment : Heruko 52 | 53 | -------------------------------------------------------------------------------- /templates/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 10 | 11 | 12 | Welcome To Insurance Premium Predictor 13 | 14 | 15 |
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Use with the GNU Affero General Public License. 553 | 554 | Notwithstanding any other provision of this License, you have 555 | permission to link or combine any covered work with a work licensed 556 | under version 3 of the GNU Affero General Public License into a single 557 | combined work, and to convey the resulting work. The terms of this 558 | License will continue to apply to the part which is the covered work, 559 | but the special requirements of the GNU Affero General Public License, 560 | section 13, concerning interaction through a network will apply to the 561 | combination as such. 562 | 563 | 14. Revised Versions of this License. 564 | 565 | The Free Software Foundation may publish revised and/or new versions of 566 | the GNU General Public License from time to time. Such new versions will 567 | be similar in spirit to the present version, but may differ in detail to 568 | address new problems or concerns. 569 | 570 | Each version is given a distinguishing version number. If the 571 | Program specifies that a certain numbered version of the GNU General 572 | Public License "or any later version" applies to it, you have the 573 | option of following the terms and conditions either of that numbered 574 | version or of any later version published by the Free Software 575 | Foundation. If the Program does not specify a version number of the 576 | GNU General Public License, you may choose any version ever published 577 | by the Free Software Foundation. 578 | 579 | If the Program specifies that a proxy can decide which future 580 | versions of the GNU General Public License can be used, that proxy's 581 | public statement of acceptance of a version permanently authorizes you 582 | to choose that version for the Program. 583 | 584 | Later license versions may give you additional or different 585 | permissions. However, no additional obligations are imposed on any 586 | author or copyright holder as a result of your choosing to follow a 587 | later version. 588 | 589 | 15. Disclaimer of Warranty. 590 | 591 | THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY 592 | APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT 593 | HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY 594 | OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, 595 | THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR 596 | PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM 597 | IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF 598 | ALL NECESSARY SERVICING, REPAIR OR CORRECTION. 599 | 600 | 16. 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Interpretation of Sections 15 and 16. 613 | 614 | If the disclaimer of warranty and limitation of liability provided 615 | above cannot be given local legal effect according to their terms, 616 | reviewing courts shall apply local law that most closely approximates 617 | an absolute waiver of all civil liability in connection with the 618 | Program, unless a warranty or assumption of liability accompanies a 619 | copy of the Program in return for a fee. 620 | 621 | END OF TERMS AND CONDITIONS 622 | 623 | How to Apply These Terms to Your New Programs 624 | 625 | If you develop a new program, and you want it to be of the greatest 626 | possible use to the public, the best way to achieve this is to make it 627 | free software which everyone can redistribute and change under these terms. 628 | 629 | To do so, attach the following notices to the program. It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /insurance.csv: -------------------------------------------------------------------------------- 1 | age,sex,bmi,children,smoker,region,expenses 19,female,27.9,0,yes,southwest,16884.92 18,male,33.8,1,no,southeast,1725.55 28,male,33.0,3,no,southeast,4449.46 33,male,22.7,0,no,northwest,21984.47 32,male,28.9,0,no,northwest,3866.86 31,female,25.7,0,no,southeast,3756.62 46,female,33.4,1,no,southeast,8240.59 37,female,27.7,3,no,northwest,7281.51 37,male,29.8,2,no,northeast,6406.41 60,female,25.8,0,no,northwest,28923.14 25,male,26.2,0,no,northeast,2721.32 62,female,26.3,0,yes,southeast,27808.73 23,male,34.4,0,no,southwest,1826.84 56,female,39.8,0,no,southeast,11090.72 27,male,42.1,0,yes,southeast,39611.76 19,male,24.6,1,no,southwest,1837.24 52,female,30.8,1,no,northeast,10797.34 23,male,23.8,0,no,northeast,2395.17 56,male,40.3,0,no,southwest,10602.39 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3,33,male,22.7,0,no,northwest 6 | 4,32,male,28.9,0,no,northwest 7 | 5,31,female,25.7,0,no,southeast 8 | 6,46,female,33.4,1,no,southeast 9 | 7,37,female,27.7,3,no,northwest 10 | 8,37,male,29.8,2,no,northeast 11 | 9,60,female,25.8,0,no,northwest 12 | 10,25,male,26.2,0,no,northeast 13 | 11,62,female,26.3,0,yes,southeast 14 | 12,23,male,34.4,0,no,southwest 15 | 13,56,female,39.8,0,no,southeast 16 | 14,27,male,42.1,0,yes,southeast 17 | 15,19,male,24.6,1,no,southwest 18 | 16,52,female,30.8,1,no,northeast 19 | 17,23,male,23.8,0,no,northeast 20 | 18,56,male,40.3,0,no,southwest 21 | 19,30,male,35.3,0,yes,southwest 22 | 20,60,female,36.0,0,no,northeast 23 | 21,30,female,32.4,1,no,southwest 24 | 22,18,male,34.1,0,no,southeast 25 | 23,34,female,31.9,1,yes,northeast 26 | 24,37,male,28.0,2,no,northwest 27 | 25,59,female,27.7,3,no,southeast 28 | 26,63,female,23.1,0,no,northeast 29 | 27,55,female,32.8,2,no,northwest 30 | 28,23,male,17.4,1,no,northwest 31 | 29,31,male,36.3,2,yes,southwest 32 | 30,22,male,35.6,0,yes,southwest 33 | 31,18,female,26.3,0,no,northeast 34 | 32,19,female,28.6,5,no,southwest 35 | 33,63,male,28.3,0,no,northwest 36 | 34,28,male,36.4,1,yes,southwest 37 | 35,19,male,20.4,0,no,northwest 38 | 36,62,female,33.0,3,no,northwest 39 | 37,26,male,20.8,0,no,southwest 40 | 38,35,male,36.7,1,yes,northeast 41 | 39,60,male,39.9,0,yes,southwest 42 | 40,24,female,26.6,0,no,northeast 43 | 41,31,female,36.6,2,no,southeast 44 | 42,41,male,21.8,1,no,southeast 45 | 43,37,female,30.8,2,no,southeast 46 | 44,38,male,37.1,1,no,northeast 47 | 45,55,male,37.3,0,no,southwest 48 | 46,18,female,38.7,2,no,northeast 49 | 47,28,female,34.8,0,no,northwest 50 | 48,60,female,24.5,0,no,southeast 51 | 49,36,male,35.2,1,yes,southeast 52 | 50,18,female,35.6,0,no,northeast 53 | 51,21,female,33.6,2,no,northwest 54 | 52,48,male,28.0,1,yes,southwest 55 | 53,36,male,34.4,0,yes,southeast 56 | 54,40,female,28.7,3,no,northwest 57 | 55,58,male,37.0,2,yes,northwest 58 | 56,58,female,31.8,2,no,northeast 59 | 57,18,male,31.7,2,yes,southeast 60 | 58,53,female,22.9,1,yes,southeast 61 | 59,34,female,37.3,2,no,northwest 62 | 60,43,male,27.4,3,no,northeast 63 | 61,25,male,33.7,4,no,southeast 64 | 62,64,male,24.7,1,no,northwest 65 | 63,28,female,25.9,1,no,northwest 66 | 64,20,female,22.4,0,yes,northwest 67 | 65,19,female,28.9,0,no,southwest 68 | 66,61,female,39.1,2,no,southwest 69 | 67,40,male,26.3,1,no,northwest 70 | 68,40,female,36.2,0,no,southeast 71 | 69,28,male,24.0,3,yes,southeast 72 | 70,27,female,24.8,0,yes,southeast 73 | 71,31,male,28.5,5,no,northeast 74 | 72,53,female,28.1,3,no,southwest 75 | 73,58,male,32.0,1,no,southeast 76 | 74,44,male,27.4,2,no,southwest 77 | 75,57,male,34.0,0,no,northwest 78 | 76,29,female,29.6,1,no,southeast 79 | 77,21,male,35.5,0,no,southeast 80 | 78,22,female,39.8,0,no,northeast 81 | 79,41,female,33.0,0,no,northwest 82 | 80,31,male,26.9,1,no,northeast 83 | 81,45,female,38.3,0,no,northeast 84 | 82,22,male,37.6,1,yes,southeast 85 | 83,48,female,41.2,4,no,northwest 86 | 84,37,female,34.8,2,yes,southwest 87 | 85,45,male,22.9,2,yes,northwest 88 | 86,57,female,31.2,0,yes,northwest 89 | 87,56,female,27.2,0,no,southwest 90 | 88,46,female,27.7,0,no,northwest 91 | 89,55,female,27.0,0,no,northwest 92 | 90,21,female,39.5,0,no,southeast 93 | 91,53,female,24.8,1,no,northwest 94 | 92,59,male,29.8,3,yes,northeast 95 | 93,35,male,34.8,2,no,northwest 96 | 94,64,female,31.3,2,yes,southwest 97 | 95,28,female,37.6,1,no,southeast 98 | 96,54,female,30.8,3,no,southwest 99 | 97,55,male,38.3,0,no,southeast 100 | 98,56,male,20.0,0,yes,northeast 101 | 99,38,male,19.3,0,yes,southwest 102 | 100,41,female,31.6,0,no,southwest 103 | 101,30,male,25.5,0,no,northeast 104 | 102,18,female,30.1,0,no,northeast 105 | 103,61,female,29.9,3,yes,southeast 106 | 104,34,female,27.5,1,no,southwest 107 | 105,20,male,28.0,1,yes,northwest 108 | 106,19,female,28.4,1,no,southwest 109 | 107,26,male,30.9,2,no,northwest 110 | 108,29,male,27.9,0,no,southeast 111 | 109,63,male,35.1,0,yes,southeast 112 | 110,54,male,33.6,1,no,northwest 113 | 111,55,female,29.7,2,no,southwest 114 | 112,37,male,30.8,0,no,southwest 115 | 113,21,female,35.7,0,no,northwest 116 | 114,52,male,32.2,3,no,northeast 117 | 115,60,male,28.6,0,no,northeast 118 | 116,58,male,49.1,0,no,southeast 119 | 117,29,female,27.9,1,yes,southeast 120 | 118,49,female,27.2,0,no,southeast 121 | 119,37,female,23.4,2,no,northwest 122 | 120,44,male,37.1,2,no,southwest 123 | 121,18,male,23.8,0,no,northeast 124 | 122,20,female,29.0,0,no,northwest 125 | 123,44,male,31.4,1,yes,northeast 126 | 124,47,female,33.9,3,no,northwest 127 | 125,26,female,28.8,0,no,northeast 128 | 126,19,female,28.3,0,yes,southwest 129 | 127,52,female,37.4,0,no,southwest 130 | 128,32,female,17.8,2,yes,northwest 131 | 129,38,male,34.7,2,no,southwest 132 | 130,59,female,26.5,0,no,northeast 133 | 131,61,female,22.0,0,no,northeast 134 | 132,53,female,35.9,2,no,southwest 135 | 133,19,male,25.6,0,no,northwest 136 | 134,20,female,28.8,0,no,northeast 137 | 135,22,female,28.1,0,no,southeast 138 | 136,19,male,34.1,0,no,southwest 139 | 137,22,male,25.2,0,no,northwest 140 | 138,54,female,31.9,3,no,southeast 141 | 139,22,female,36.0,0,no,southwest 142 | 140,34,male,22.4,2,no,northeast 143 | 141,26,male,32.5,1,no,northeast 144 | 142,34,male,25.3,2,yes,southeast 145 | 143,29,male,29.7,2,no,northwest 146 | 144,30,male,28.7,3,yes,northwest 147 | 145,29,female,38.8,3,no,southeast 148 | 146,46,male,30.5,3,yes,northwest 149 | 147,51,female,37.7,1,no,southeast 150 | 148,53,female,37.4,1,no,northwest 151 | 149,19,male,28.4,1,no,southwest 152 | 150,35,male,24.1,1,no,northwest 153 | 151,48,male,29.7,0,no,southeast 154 | 152,32,female,37.1,3,no,northeast 155 | 153,42,female,23.4,0,yes,northeast 156 | 154,40,female,25.5,1,no,northeast 157 | 155,44,male,39.5,0,no,northwest 158 | 156,48,male,24.4,0,yes,southeast 159 | 157,18,male,25.2,0,yes,northeast 160 | 158,30,male,35.5,0,yes,southeast 161 | 159,50,female,27.8,3,no,southeast 162 | 160,42,female,26.6,0,yes,northwest 163 | 161,18,female,36.9,0,yes,southeast 164 | 162,54,male,39.6,1,no,southwest 165 | 163,32,female,29.8,2,no,southwest 166 | 164,37,male,29.6,0,no,northwest 167 | 165,47,male,28.2,4,no,northeast 168 | 166,20,female,37.0,5,no,southwest 169 | 167,32,female,33.2,3,no,northwest 170 | 168,19,female,31.8,1,no,northwest 171 | 169,27,male,18.9,3,no,northeast 172 | 170,63,male,41.5,0,no,southeast 173 | 171,49,male,30.3,0,no,southwest 174 | 172,18,male,16.0,0,no,northeast 175 | 173,35,female,34.8,1,no,southwest 176 | 174,24,female,33.3,0,no,northwest 177 | 175,63,female,37.7,0,yes,southwest 178 | 176,38,male,27.8,2,no,northwest 179 | 177,54,male,29.2,1,no,southwest 180 | 178,46,female,28.9,2,no,southwest 181 | 179,41,female,33.2,3,no,northeast 182 | 180,58,male,28.6,0,no,northwest 183 | 181,18,female,38.3,0,no,southeast 184 | 182,22,male,20.0,3,no,northeast 185 | 183,44,female,26.4,0,no,northwest 186 | 184,44,male,30.7,2,no,southeast 187 | 185,36,male,41.9,3,yes,northeast 188 | 186,26,female,29.9,2,no,southeast 189 | 187,30,female,30.9,3,no,southwest 190 | 188,41,female,32.2,1,no,southwest 191 | 189,29,female,32.1,2,no,northwest 192 | 190,61,male,31.6,0,no,southeast 193 | 191,36,female,26.2,0,no,southwest 194 | 192,25,male,25.7,0,no,southeast 195 | 193,56,female,26.6,1,no,northwest 196 | 194,18,male,34.4,0,no,southeast 197 | 195,19,male,30.6,0,no,northwest 198 | 196,39,female,32.8,0,no,southwest 199 | 197,45,female,28.6,2,no,southeast 200 | 198,51,female,18.1,0,no,northwest 201 | 199,64,female,39.3,0,no,northeast 202 | 200,19,female,32.1,0,no,northwest 203 | 201,48,female,32.2,1,no,southeast 204 | 202,60,female,24.0,0,no,northwest 205 | 203,27,female,36.1,0,yes,southeast 206 | 204,46,male,22.3,0,no,southwest 207 | 205,28,female,28.9,1,no,northeast 208 | 206,59,male,26.4,0,no,southeast 209 | 207,35,male,27.7,2,yes,northeast 210 | 208,63,female,31.8,0,no,southwest 211 | 209,40,male,41.2,1,no,northeast 212 | 210,20,male,33.0,1,no,southwest 213 | 211,40,male,30.9,4,no,northwest 214 | 212,24,male,28.5,2,no,northwest 215 | 213,34,female,26.7,1,no,southeast 216 | 214,45,female,30.9,2,no,southwest 217 | 215,41,female,37.1,2,no,southwest 218 | 216,53,female,26.6,0,no,northwest 219 | 217,27,male,23.1,0,no,southeast 220 | 218,26,female,29.9,1,no,southeast 221 | 219,24,female,23.2,0,no,southeast 222 | 220,34,female,33.7,1,no,southwest 223 | 221,53,female,33.3,0,no,northeast 224 | 222,32,male,30.8,3,no,southwest 225 | 223,19,male,34.8,0,yes,southwest 226 | 224,42,male,24.6,0,yes,southeast 227 | 225,55,male,33.9,3,no,southeast 228 | 226,28,male,38.1,0,no,southeast 229 | 227,58,female,41.9,0,no,southeast 230 | 228,41,female,31.6,1,no,northeast 231 | 229,47,male,25.5,2,no,northeast 232 | 230,42,female,36.2,1,no,northwest 233 | 231,59,female,27.8,3,no,southeast 234 | 232,19,female,17.8,0,no,southwest 235 | 233,59,male,27.5,1,no,southwest 236 | 234,39,male,24.5,2,no,northwest 237 | 235,40,female,22.2,2,yes,southeast 238 | 236,18,female,26.7,0,no,southeast 239 | 237,31,male,38.4,2,no,southeast 240 | 238,19,male,29.1,0,yes,northwest 241 | 239,44,male,38.1,1,no,southeast 242 | 240,23,female,36.7,2,yes,northeast 243 | 241,33,female,22.1,1,no,northeast 244 | 242,55,female,26.8,1,no,southwest 245 | 243,40,male,35.3,3,no,southwest 246 | 244,63,female,27.7,0,yes,northeast 247 | 245,54,male,30.0,0,no,northwest 248 | 246,60,female,38.1,0,no,southeast 249 | 247,24,male,35.9,0,no,southeast 250 | 248,19,male,20.9,1,no,southwest 251 | 249,29,male,29.0,1,no,northeast 252 | 250,18,male,17.3,2,yes,northeast 253 | 251,63,female,32.2,2,yes,southwest 254 | 252,54,male,34.2,2,yes,southeast 255 | 253,27,male,30.3,3,no,southwest 256 | 254,50,male,31.8,0,yes,northeast 257 | 255,55,female,25.4,3,no,northeast 258 | 256,56,male,33.6,0,yes,northwest 259 | 257,38,female,40.2,0,no,southeast 260 | 258,51,male,24.4,4,no,northwest 261 | 259,19,male,31.9,0,yes,northwest 262 | 260,58,female,25.2,0,no,southwest 263 | 261,20,female,26.8,1,yes,southeast 264 | 262,52,male,24.3,3,yes,northeast 265 | 263,19,male,37.0,0,yes,northwest 266 | 264,53,female,38.1,3,no,southeast 267 | 265,46,male,42.4,3,yes,southeast 268 | 266,40,male,19.8,1,yes,southeast 269 | 267,59,female,32.4,3,no,northeast 270 | 268,45,male,30.2,1,no,southwest 271 | 269,49,male,25.8,1,no,northeast 272 | 270,18,male,29.4,1,no,southeast 273 | 271,50,male,34.2,2,yes,southwest 274 | 272,41,male,37.1,2,no,northwest 275 | 273,50,male,27.5,1,no,northeast 276 | 274,25,male,27.6,0,no,northwest 277 | 275,47,female,26.6,2,no,northeast 278 | 276,19,male,20.6,2,no,northwest 279 | 277,22,female,24.3,0,no,southwest 280 | 278,59,male,31.8,2,no,southeast 281 | 279,51,female,21.6,1,no,southeast 282 | 280,40,female,28.1,1,yes,northeast 283 | 281,54,male,40.6,3,yes,northeast 284 | 282,30,male,27.6,1,no,northeast 285 | 283,55,female,32.4,1,no,northeast 286 | 284,52,female,31.2,0,no,southwest 287 | 285,46,male,26.6,1,no,southeast 288 | 286,46,female,48.1,2,no,northeast 289 | 287,63,female,26.2,0,no,northwest 290 | 288,59,female,36.8,1,yes,northeast 291 | 289,52,male,26.4,3,no,southeast 292 | 290,28,female,33.4,0,no,southwest 293 | 291,29,male,29.6,1,no,northeast 294 | 292,25,male,45.5,2,yes,southeast 295 | 293,22,female,28.8,0,no,southeast 296 | 294,25,male,26.8,3,no,southwest 297 | 295,18,male,23.0,0,no,northeast 298 | 296,19,male,27.7,0,yes,southwest 299 | 297,47,male,25.4,1,yes,southeast 300 | 298,31,male,34.4,3,yes,northwest 301 | 299,48,female,28.9,1,no,northwest 302 | 300,36,male,27.6,3,no,northeast 303 | 301,53,female,22.6,3,yes,northeast 304 | 302,56,female,37.5,2,no,southeast 305 | 303,28,female,33.0,2,no,southeast 306 | 304,57,female,38.0,2,no,southwest 307 | 305,29,male,33.3,2,no,northwest 308 | 306,28,female,27.5,2,no,southwest 309 | 307,30,female,33.3,1,no,southeast 310 | 308,58,male,34.9,0,no,northeast 311 | 309,41,female,33.1,2,no,northwest 312 | 310,50,male,26.6,0,no,southwest 313 | 311,19,female,24.7,0,no,southwest 314 | 312,43,male,36.0,3,yes,southeast 315 | 313,49,male,35.9,0,no,southeast 316 | 314,27,female,31.4,0,yes,southwest 317 | 315,52,male,33.3,0,no,northeast 318 | 316,50,male,32.2,0,no,northwest 319 | 317,54,male,32.8,0,no,northeast 320 | 318,44,female,27.6,0,no,northwest 321 | 319,32,male,37.3,1,no,northeast 322 | 320,34,male,25.3,1,no,northwest 323 | 321,26,female,29.6,4,no,northeast 324 | 322,34,male,30.8,0,yes,southwest 325 | 323,57,male,40.9,0,no,northeast 326 | 324,29,male,27.2,0,no,southwest 327 | 325,40,male,34.1,1,no,northeast 328 | 326,27,female,23.2,1,no,southeast 329 | 327,45,male,36.5,2,yes,northwest 330 | 328,64,female,33.8,1,yes,southwest 331 | 329,52,male,36.7,0,no,southwest 332 | 330,61,female,36.4,1,yes,northeast 333 | 331,52,male,27.4,0,yes,northwest 334 | 332,61,female,31.2,0,no,northwest 335 | 333,56,female,28.8,0,no,northeast 336 | 334,43,female,35.7,2,no,northeast 337 | 335,64,male,34.5,0,no,southwest 338 | 336,60,male,25.7,0,no,southeast 339 | 337,62,male,27.6,1,no,northwest 340 | 338,50,male,32.3,1,yes,northeast 341 | 339,46,female,27.7,1,no,southeast 342 | 340,24,female,27.6,0,no,southwest 343 | 341,62,male,30.0,0,no,northwest 344 | 342,60,female,27.6,0,no,northeast 345 | 343,63,male,36.8,0,no,northeast 346 | 344,49,female,41.5,4,no,southeast 347 | 345,34,female,29.3,3,no,southeast 348 | 346,33,male,35.8,2,no,southeast 349 | 347,46,male,33.3,1,no,northeast 350 | 348,36,female,29.9,1,no,southeast 351 | 349,19,male,27.8,0,no,northwest 352 | 350,57,female,23.2,0,no,northwest 353 | 351,50,female,25.6,0,no,southwest 354 | 352,30,female,27.7,0,no,southwest 355 | 353,33,male,35.2,0,no,northeast 356 | 354,18,female,38.3,0,no,southeast 357 | 355,46,male,27.6,0,no,southwest 358 | 356,46,male,43.9,3,no,southeast 359 | 357,47,male,29.8,3,no,northwest 360 | 358,23,male,41.9,0,no,southeast 361 | 359,18,female,20.8,0,no,southeast 362 | 360,48,female,32.3,2,no,northeast 363 | 361,35,male,30.5,1,no,southwest 364 | 362,19,female,21.7,0,yes,southwest 365 | 363,21,female,26.4,1,no,southwest 366 | 364,21,female,21.9,2,no,southeast 367 | 365,49,female,30.8,1,no,northeast 368 | 366,56,female,32.3,3,no,northeast 369 | 367,42,female,25.0,2,no,northwest 370 | 368,44,male,32.0,2,no,northwest 371 | 369,18,male,30.4,3,no,northeast 372 | 370,61,female,21.1,0,no,northwest 373 | 371,57,female,22.2,0,no,northeast 374 | 372,42,female,33.2,1,no,northeast 375 | 373,26,male,32.9,2,yes,southwest 376 | 374,20,male,33.3,0,no,southeast 377 | 375,23,female,28.3,0,yes,northwest 378 | 376,39,female,24.9,3,yes,northeast 379 | 377,24,male,40.2,0,yes,southeast 380 | 378,64,female,30.1,3,no,northwest 381 | 379,62,male,31.5,1,no,southeast 382 | 380,27,female,18.0,2,yes,northeast 383 | 381,55,male,30.7,0,yes,northeast 384 | 382,55,male,33.0,0,no,southeast 385 | 383,35,female,43.3,2,no,southeast 386 | 384,44,male,22.1,2,no,northeast 387 | 385,19,male,34.4,0,no,southwest 388 | 386,58,female,39.1,0,no,southeast 389 | 387,50,male,25.4,2,no,northwest 390 | 388,26,female,22.6,0,no,northwest 391 | 389,24,female,30.2,3,no,northwest 392 | 390,48,male,35.6,4,no,northeast 393 | 391,19,female,37.4,0,no,northwest 394 | 392,48,male,31.4,1,no,northeast 395 | 393,49,male,31.4,1,no,northeast 396 | 394,46,female,32.3,2,no,northeast 397 | 395,46,male,19.9,0,no,northwest 398 | 396,43,female,34.4,3,no,southwest 399 | 397,21,male,31.0,0,no,southeast 400 | 398,64,male,25.6,2,no,southwest 401 | 399,18,female,38.2,0,no,southeast 402 | 400,51,female,20.6,0,no,southwest 403 | 401,47,male,47.5,1,no,southeast 404 | 402,64,female,33.0,0,no,northwest 405 | 403,49,male,32.3,3,no,northwest 406 | 404,31,male,20.4,0,no,southwest 407 | 405,52,female,38.4,2,no,northeast 408 | 406,33,female,24.3,0,no,southeast 409 | 407,47,female,23.6,1,no,southwest 410 | 408,38,male,21.1,3,no,southeast 411 | 409,32,male,30.0,1,no,southeast 412 | 410,19,male,17.5,0,no,northwest 413 | 411,44,female,20.2,1,yes,northeast 414 | 412,26,female,17.2,2,yes,northeast 415 | 413,25,male,23.9,5,no,southwest 416 | 414,19,female,35.2,0,no,northwest 417 | 415,43,female,35.6,1,no,southeast 418 | 416,52,male,34.1,0,no,southeast 419 | 417,36,female,22.6,2,yes,southwest 420 | 418,64,male,39.2,1,no,southeast 421 | 419,63,female,27.0,0,yes,northwest 422 | 420,64,male,33.9,0,yes,southeast 423 | 421,61,male,35.9,0,yes,southeast 424 | 422,40,male,32.8,1,yes,northeast 425 | 423,25,male,30.6,0,no,northeast 426 | 424,48,male,30.2,2,no,southwest 427 | 425,45,male,24.3,5,no,southeast 428 | 426,38,female,27.3,1,no,northeast 429 | 427,18,female,29.2,0,no,northeast 430 | 428,21,female,16.8,1,no,northeast 431 | 429,27,female,30.4,3,no,northwest 432 | 430,19,male,33.1,0,no,southwest 433 | 431,29,female,20.2,2,no,northwest 434 | 432,42,male,26.9,0,no,southwest 435 | 433,60,female,30.5,0,no,southwest 436 | 434,31,male,28.6,1,no,northwest 437 | 435,60,male,33.1,3,no,southeast 438 | 436,22,male,31.7,0,no,northeast 439 | 437,35,male,28.9,3,no,southwest 440 | 438,52,female,46.8,5,no,southeast 441 | 439,26,male,29.5,0,no,northeast 442 | 440,31,female,32.7,1,no,northwest 443 | 441,33,female,33.5,0,yes,southwest 444 | 442,18,male,43.0,0,no,southeast 445 | 443,59,female,36.5,1,no,southeast 446 | 444,56,male,26.7,1,yes,northwest 447 | 445,45,female,33.1,0,no,southwest 448 | 446,60,male,29.6,0,no,northeast 449 | 447,56,female,25.7,0,no,northwest 450 | 448,40,female,29.6,0,no,southwest 451 | 449,35,male,38.6,1,no,southwest 452 | 450,39,male,29.6,4,no,southwest 453 | 451,30,male,24.1,1,no,northwest 454 | 452,24,male,23.4,0,no,southwest 455 | 453,20,male,29.7,0,no,northwest 456 | 454,32,male,46.5,2,no,southeast 457 | 455,59,male,37.4,0,no,southwest 458 | 456,55,female,30.1,2,no,southeast 459 | 457,57,female,30.5,0,no,northwest 460 | 458,56,male,39.6,0,no,southwest 461 | 459,40,female,33.0,3,no,southeast 462 | 460,49,female,36.6,3,no,southeast 463 | 461,42,male,30.0,0,yes,southwest 464 | 462,62,female,38.1,2,no,northeast 465 | 463,56,male,25.9,0,no,northeast 466 | 464,19,male,25.2,0,no,northwest 467 | 465,30,female,28.4,1,yes,southeast 468 | 466,60,female,28.7,1,no,southwest 469 | 467,56,female,33.8,2,no,northwest 470 | 468,28,female,24.3,1,no,northeast 471 | 469,18,female,24.1,1,no,southeast 472 | 470,27,male,32.7,0,no,southeast 473 | 471,18,female,30.1,0,no,northeast 474 | 472,19,female,29.8,0,no,southwest 475 | 473,47,female,33.3,0,no,northeast 476 | 474,54,male,25.1,3,yes,southwest 477 | 475,61,male,28.3,1,yes,northwest 478 | 476,24,male,28.5,0,yes,northeast 479 | 477,25,male,35.6,0,no,northwest 480 | 478,21,male,36.9,0,no,southeast 481 | 479,23,male,32.6,0,no,southeast 482 | 480,63,male,41.3,3,no,northwest 483 | 481,49,male,37.5,2,no,southeast 484 | 482,18,female,31.4,0,no,southeast 485 | 483,51,female,39.5,1,no,southwest 486 | 484,48,male,34.3,3,no,southwest 487 | 485,31,female,31.1,0,no,northeast 488 | 486,54,female,21.5,3,no,northwest 489 | 487,19,male,28.7,0,no,southwest 490 | 488,44,female,38.1,0,yes,southeast 491 | 489,53,male,31.2,1,no,northwest 492 | 490,19,female,32.9,0,no,southwest 493 | 491,61,female,25.1,0,no,southeast 494 | 492,18,female,25.1,0,no,northeast 495 | 493,61,male,43.4,0,no,southwest 496 | 494,21,male,25.7,4,yes,southwest 497 | 495,20,male,27.9,0,no,northeast 498 | 496,31,female,23.6,2,no,southwest 499 | 497,45,male,28.7,2,no,southwest 500 | 498,44,female,24.0,2,no,southeast 501 | 499,62,female,39.2,0,no,southwest 502 | 500,29,male,34.4,0,yes,southwest 503 | 501,43,male,26.0,0,no,northeast 504 | 502,51,male,23.2,1,yes,southeast 505 | 503,19,male,30.3,0,yes,southeast 506 | 504,38,female,28.9,1,no,southeast 507 | 505,37,male,30.9,3,no,northwest 508 | 506,22,male,31.4,1,no,northwest 509 | 507,21,male,23.8,2,no,northwest 510 | 508,24,female,25.3,0,no,northeast 511 | 509,57,female,28.7,0,no,southwest 512 | 510,56,male,32.1,1,no,northeast 513 | 511,27,male,33.7,0,no,southeast 514 | 512,51,male,22.4,0,no,northeast 515 | 513,19,male,30.4,0,no,southwest 516 | 514,39,male,28.3,1,yes,southwest 517 | 515,58,male,35.7,0,no,southwest 518 | 516,20,male,35.3,1,no,southeast 519 | 517,45,male,30.5,2,no,northwest 520 | 518,35,female,31.0,1,no,southwest 521 | 519,31,male,30.9,0,no,northeast 522 | 520,50,female,27.4,0,no,northeast 523 | 521,32,female,44.2,0,no,southeast 524 | 522,51,female,33.9,0,no,northeast 525 | 523,38,female,37.7,0,no,southeast 526 | 524,42,male,26.1,1,yes,southeast 527 | 525,18,female,33.9,0,no,southeast 528 | 526,19,female,30.6,2,no,northwest 529 | 527,51,female,25.8,1,no,southwest 530 | 528,46,male,39.4,1,no,northeast 531 | 529,18,male,25.5,0,no,northeast 532 | 530,57,male,42.1,1,yes,southeast 533 | 531,62,female,31.7,0,no,northeast 534 | 532,59,male,29.7,2,no,southeast 535 | 533,37,male,36.2,0,no,southeast 536 | 534,64,male,40.5,0,no,southeast 537 | 535,38,male,28.0,1,no,northeast 538 | 536,33,female,38.9,3,no,southwest 539 | 537,46,female,30.2,2,no,southwest 540 | 538,46,female,28.1,1,no,southeast 541 | 539,53,male,31.4,0,no,southeast 542 | 540,34,female,38.0,3,no,southwest 543 | 541,20,female,31.8,2,no,southeast 544 | 542,63,female,36.3,0,no,southeast 545 | 543,54,female,47.4,0,yes,southeast 546 | 544,54,male,30.2,0,no,northwest 547 | 545,49,male,25.8,2,yes,northwest 548 | 546,28,male,35.4,0,no,northeast 549 | 547,54,female,46.7,2,no,southwest 550 | 548,25,female,28.6,0,no,northeast 551 | 549,43,female,46.2,0,yes,southeast 552 | 550,63,male,30.8,0,no,southwest 553 | 551,32,female,28.9,0,no,southeast 554 | 552,62,male,21.4,0,no,southwest 555 | 553,52,female,31.7,2,no,northwest 556 | 554,25,female,41.3,0,no,northeast 557 | 555,28,male,23.8,2,no,southwest 558 | 556,46,male,33.4,1,no,northeast 559 | 557,34,male,34.2,0,no,southeast 560 | 558,35,female,34.1,3,yes,northwest 561 | 559,19,male,35.5,0,no,northwest 562 | 560,46,female,20.0,2,no,northwest 563 | 561,54,female,32.7,0,no,northeast 564 | 562,27,male,30.5,0,no,southwest 565 | 563,50,male,44.8,1,no,southeast 566 | 564,18,female,32.1,2,no,southeast 567 | 565,19,female,30.5,0,no,northwest 568 | 566,38,female,40.6,1,no,northwest 569 | 567,41,male,30.6,2,no,northwest 570 | 568,49,female,31.9,5,no,southwest 571 | 569,48,male,40.6,2,yes,northwest 572 | 570,31,female,29.1,0,no,southwest 573 | 571,18,female,37.3,1,no,southeast 574 | 572,30,female,43.1,2,no,southeast 575 | 573,62,female,36.9,1,no,northeast 576 | 574,57,female,34.3,2,no,northeast 577 | 575,58,female,27.2,0,no,northwest 578 | 576,22,male,26.8,0,no,southeast 579 | 577,31,female,38.1,1,yes,northeast 580 | 578,52,male,30.2,1,no,southwest 581 | 579,25,female,23.5,0,no,northeast 582 | 580,59,male,25.5,1,no,northeast 583 | 581,19,male,30.6,0,no,northwest 584 | 582,39,male,45.4,2,no,southeast 585 | 583,32,female,23.7,1,no,southeast 586 | 584,19,male,20.7,0,no,southwest 587 | 585,33,female,28.3,1,no,southeast 588 | 586,21,male,20.2,3,no,northeast 589 | 587,34,female,30.2,1,yes,northwest 590 | 588,61,female,35.9,0,no,northeast 591 | 589,38,female,30.7,1,no,southeast 592 | 590,58,female,29.0,0,no,southwest 593 | 591,47,male,19.6,1,no,northwest 594 | 592,20,male,31.1,2,no,southeast 595 | 593,21,female,21.9,1,yes,northeast 596 | 594,41,male,40.3,0,no,southeast 597 | 595,46,female,33.7,1,no,northeast 598 | 596,42,female,29.5,2,no,southeast 599 | 597,34,female,33.3,1,no,northeast 600 | 598,43,male,32.6,2,no,southwest 601 | 599,52,female,37.5,2,no,northwest 602 | 600,18,female,39.2,0,no,southeast 603 | 601,51,male,31.6,0,no,northwest 604 | 602,56,female,25.3,0,no,southwest 605 | 603,64,female,39.1,3,no,southeast 606 | 604,19,female,28.3,0,yes,northwest 607 | 605,51,female,34.1,0,no,southeast 608 | 606,27,female,25.2,0,no,northeast 609 | 607,59,female,23.7,0,yes,northwest 610 | 608,28,male,27.0,2,no,northeast 611 | 609,30,male,37.8,2,yes,southwest 612 | 610,47,female,29.4,1,no,southeast 613 | 611,38,female,34.8,2,no,southwest 614 | 612,18,female,33.2,0,no,northeast 615 | 613,34,female,19.0,3,no,northeast 616 | 614,20,female,33.0,0,no,southeast 617 | 615,47,female,36.6,1,yes,southeast 618 | 616,56,female,28.6,0,no,northeast 619 | 617,49,male,25.6,2,yes,southwest 620 | 618,19,female,33.1,0,yes,southeast 621 | 619,55,female,37.1,0,no,southwest 622 | 620,30,male,31.4,1,no,southwest 623 | 621,37,male,34.1,4,yes,southwest 624 | 622,49,female,21.3,1,no,southwest 625 | 623,18,male,33.5,0,yes,northeast 626 | 624,59,male,28.8,0,no,northwest 627 | 625,29,female,26.0,0,no,northwest 628 | 626,36,male,28.9,3,no,northeast 629 | 627,33,male,42.5,1,no,southeast 630 | 628,58,male,38.0,0,no,southwest 631 | 629,44,female,39.0,0,yes,northwest 632 | 630,53,male,36.1,1,no,southwest 633 | 631,24,male,29.3,0,no,southwest 634 | 632,29,female,35.5,0,no,southeast 635 | 633,40,male,22.7,2,no,northeast 636 | 634,51,male,39.7,1,no,southwest 637 | 635,64,male,38.2,0,no,northeast 638 | 636,19,female,24.5,1,no,northwest 639 | 637,35,female,38.1,2,no,northeast 640 | 638,39,male,26.4,0,yes,northeast 641 | 639,56,male,33.7,4,no,southeast 642 | 640,33,male,42.4,5,no,southwest 643 | 641,42,male,28.3,3,yes,northwest 644 | 642,61,male,33.9,0,no,northeast 645 | 643,23,female,35.0,3,no,northwest 646 | 644,43,male,35.3,2,no,southeast 647 | 645,48,male,30.8,3,no,northeast 648 | 646,39,male,26.2,1,no,northwest 649 | 647,40,female,23.4,3,no,northeast 650 | 648,18,male,28.5,0,no,northeast 651 | 649,58,female,33.0,0,no,northeast 652 | 650,49,female,42.7,2,no,southeast 653 | 651,53,female,39.6,1,no,southeast 654 | 652,48,female,31.1,0,no,southeast 655 | 653,45,female,36.3,2,no,southeast 656 | 654,59,female,35.2,0,no,southeast 657 | 655,52,female,25.3,2,yes,southeast 658 | 656,26,female,42.4,1,no,southwest 659 | 657,27,male,33.2,2,no,northwest 660 | 658,48,female,35.9,1,no,northeast 661 | 659,57,female,28.8,4,no,northeast 662 | 660,37,male,46.5,3,no,southeast 663 | 661,57,female,24.0,1,no,southeast 664 | 662,32,female,31.5,1,no,northeast 665 | 663,18,male,33.7,0,no,southeast 666 | 664,64,female,23.0,0,yes,southeast 667 | 665,43,male,38.1,2,yes,southeast 668 | 666,49,male,28.7,1,no,southwest 669 | 667,40,female,32.8,2,yes,northwest 670 | 668,62,male,32.0,0,yes,northeast 671 | 669,40,female,29.8,1,no,southeast 672 | 670,30,male,31.6,3,no,southeast 673 | 671,29,female,31.2,0,no,northeast 674 | 672,36,male,29.7,0,no,southeast 675 | 673,41,female,31.0,0,no,southeast 676 | 674,44,female,43.9,2,yes,southeast 677 | 675,45,male,21.4,0,no,northwest 678 | 676,55,female,40.8,3,no,southeast 679 | 677,60,male,31.4,3,yes,northwest 680 | 678,56,male,36.1,3,no,southwest 681 | 679,49,female,23.2,2,no,northwest 682 | 680,21,female,17.4,1,no,southwest 683 | 681,19,male,20.3,0,no,southwest 684 | 682,39,male,35.3,2,yes,southwest 685 | 683,53,male,24.3,0,no,northwest 686 | 684,33,female,18.5,1,no,southwest 687 | 685,53,male,26.4,2,no,northeast 688 | 686,42,male,26.1,2,no,northeast 689 | 687,40,male,41.7,0,no,southeast 690 | 688,47,female,24.1,1,no,southwest 691 | 689,27,male,31.1,1,yes,southeast 692 | 690,21,male,27.4,0,no,northeast 693 | 691,47,male,36.2,1,no,southwest 694 | 692,20,male,32.4,1,no,northwest 695 | 693,24,male,23.7,0,no,northwest 696 | 694,27,female,34.8,1,no,southwest 697 | 695,26,female,40.2,0,no,northwest 698 | 696,53,female,32.3,2,no,northeast 699 | 697,41,male,35.8,1,yes,southeast 700 | 698,56,male,33.7,0,no,northwest 701 | 699,23,female,39.3,2,no,southeast 702 | 700,21,female,34.9,0,no,southeast 703 | 701,50,female,44.7,0,no,northeast 704 | 702,53,male,41.5,0,no,southeast 705 | 703,34,female,26.4,1,no,northwest 706 | 704,47,female,29.5,1,no,northwest 707 | 705,33,female,32.9,2,no,southwest 708 | 706,51,female,38.1,0,yes,southeast 709 | 707,49,male,28.7,3,no,northwest 710 | 708,31,female,30.5,3,no,northeast 711 | 709,36,female,27.7,0,no,northeast 712 | 710,18,male,35.2,1,no,southeast 713 | 711,50,female,23.5,2,no,southeast 714 | 712,43,female,30.7,2,no,northwest 715 | 713,20,male,40.5,0,no,northeast 716 | 714,24,female,22.6,0,no,southwest 717 | 715,60,male,28.9,0,no,southwest 718 | 716,49,female,22.6,1,no,northwest 719 | 717,60,male,24.3,1,no,northwest 720 | 718,51,female,36.7,2,no,northwest 721 | 719,58,female,33.4,0,no,northwest 722 | 720,51,female,40.7,0,no,northeast 723 | 721,53,male,36.6,3,no,southwest 724 | 722,62,male,37.4,0,no,southwest 725 | 723,19,male,35.4,0,no,southwest 726 | 724,50,female,27.1,1,no,northeast 727 | 725,30,female,39.1,3,yes,southeast 728 | 726,41,male,28.4,1,no,northwest 729 | 727,29,female,21.8,1,yes,northeast 730 | 728,18,female,40.3,0,no,northeast 731 | 729,41,female,36.1,1,no,southeast 732 | 730,35,male,24.4,3,yes,southeast 733 | 731,53,male,21.4,1,no,southwest 734 | 732,24,female,30.1,3,no,southwest 735 | 733,48,female,27.3,1,no,northeast 736 | 734,59,female,32.1,3,no,southwest 737 | 735,49,female,34.8,1,no,northwest 738 | 736,37,female,38.4,0,yes,southeast 739 | 737,26,male,23.7,2,no,southwest 740 | 738,23,male,31.7,3,yes,northeast 741 | 739,29,male,35.5,2,yes,southwest 742 | 740,45,male,24.0,2,no,northeast 743 | 741,27,male,29.2,0,yes,southeast 744 | 742,53,male,34.1,0,yes,northeast 745 | 743,31,female,26.6,0,no,southeast 746 | 744,50,male,26.4,0,no,northwest 747 | 745,50,female,30.1,1,no,northwest 748 | 746,34,male,27.0,2,no,southwest 749 | 747,19,male,21.8,0,no,northwest 750 | 748,47,female,36.0,1,no,southwest 751 | 749,28,male,30.9,0,no,northwest 752 | 750,37,female,26.4,0,yes,southeast 753 | 751,21,male,29.0,0,no,northwest 754 | 752,64,male,37.9,0,no,northwest 755 | 753,58,female,22.8,0,no,southeast 756 | 754,24,male,33.6,4,no,northeast 757 | 755,31,male,27.6,2,no,northeast 758 | 756,39,female,22.8,3,no,northeast 759 | 757,47,female,27.8,0,yes,southeast 760 | 758,30,male,37.4,3,no,northeast 761 | 759,18,male,38.2,0,yes,southeast 762 | 760,22,female,34.6,2,no,northeast 763 | 761,23,male,35.2,1,no,southwest 764 | 762,33,male,27.1,1,yes,southwest 765 | 763,27,male,26.0,0,no,northeast 766 | 764,45,female,25.2,2,no,northeast 767 | 765,57,female,31.8,0,no,northwest 768 | 766,47,male,32.3,1,no,southwest 769 | 767,42,female,29.0,1,no,southwest 770 | 768,64,female,39.7,0,no,southwest 771 | 769,38,female,19.5,2,no,northwest 772 | 770,61,male,36.1,3,no,southwest 773 | 771,53,female,26.7,2,no,southwest 774 | 772,44,female,36.5,0,no,northeast 775 | 773,19,female,28.9,0,yes,northwest 776 | 774,41,male,34.2,2,no,northwest 777 | 775,51,male,33.3,3,no,southeast 778 | 776,40,male,32.3,2,no,northwest 779 | 777,45,male,39.8,0,no,northeast 780 | 778,35,male,34.3,3,no,southeast 781 | 779,53,male,28.9,0,no,northwest 782 | 780,30,male,24.4,3,yes,southwest 783 | 781,18,male,41.1,0,no,southeast 784 | 782,51,male,36.0,1,no,southeast 785 | 783,50,female,27.6,1,yes,southwest 786 | 784,31,female,29.3,1,no,southeast 787 | 785,35,female,27.7,3,no,southwest 788 | 786,60,male,37.0,0,no,northeast 789 | 787,21,male,36.9,0,no,northwest 790 | 788,29,male,22.5,3,no,northeast 791 | 789,62,female,29.9,0,no,southeast 792 | 790,39,female,41.8,0,no,southeast 793 | 791,19,male,27.6,0,no,southwest 794 | 792,22,female,23.2,0,no,northeast 795 | 793,53,male,20.9,0,yes,southeast 796 | 794,39,female,31.9,2,no,northwest 797 | 795,27,male,28.5,0,yes,northwest 798 | 796,30,male,44.2,2,no,southeast 799 | 797,30,female,22.9,1,no,northeast 800 | 798,58,female,33.1,0,no,southwest 801 | 799,33,male,24.8,0,yes,northeast 802 | 800,42,female,26.2,1,no,southeast 803 | 801,64,female,36.0,0,no,southeast 804 | 802,21,male,22.3,1,no,southwest 805 | 803,18,female,42.2,0,yes,southeast 806 | 804,23,male,26.5,0,no,southeast 807 | 805,45,female,35.8,0,no,northwest 808 | 806,40,female,41.4,1,no,northwest 809 | 807,19,female,36.6,0,no,northwest 810 | 808,18,male,30.1,0,no,southeast 811 | 809,25,male,25.8,1,no,northeast 812 | 810,46,female,30.8,3,no,southwest 813 | 811,33,female,42.9,3,no,northwest 814 | 812,54,male,21.0,2,no,southeast 815 | 813,28,male,22.5,2,no,northeast 816 | 814,36,male,34.4,2,no,southeast 817 | 815,20,female,31.5,0,no,southeast 818 | 816,24,female,24.2,0,no,northwest 819 | 817,23,male,37.1,3,no,southwest 820 | 818,47,female,26.1,1,yes,northeast 821 | 819,33,female,35.5,0,yes,northwest 822 | 820,45,male,33.7,1,no,southwest 823 | 821,26,male,17.7,0,no,northwest 824 | 822,18,female,31.1,0,no,southeast 825 | 823,44,female,29.8,2,no,southeast 826 | 824,60,male,24.3,0,no,northwest 827 | 825,64,female,31.8,2,no,northeast 828 | 826,56,male,31.8,2,yes,southeast 829 | 827,36,male,28.0,1,yes,northeast 830 | 828,41,male,30.8,3,yes,northeast 831 | 829,39,male,21.9,1,no,northwest 832 | 830,63,male,33.1,0,no,southwest 833 | 831,36,female,25.8,0,no,northwest 834 | 832,28,female,23.8,2,no,northwest 835 | 833,58,male,34.4,0,no,northwest 836 | 834,36,male,33.8,1,no,northwest 837 | 835,42,male,36.0,2,no,southeast 838 | 836,36,male,31.5,0,no,southwest 839 | 837,56,female,28.3,0,no,northeast 840 | 838,35,female,23.5,2,no,northeast 841 | 839,59,female,31.4,0,no,northwest 842 | 840,21,male,31.1,0,no,southwest 843 | 841,59,male,24.7,0,no,northeast 844 | 842,23,female,32.8,2,yes,southeast 845 | 843,57,female,29.8,0,yes,southeast 846 | 844,53,male,30.5,0,no,northeast 847 | 845,60,female,32.5,0,yes,southeast 848 | 846,51,female,34.2,1,no,southwest 849 | 847,23,male,50.4,1,no,southeast 850 | 848,27,female,24.1,0,no,southwest 851 | 849,55,male,32.8,0,no,northwest 852 | 850,37,female,30.8,0,yes,northeast 853 | 851,61,male,32.3,2,no,northwest 854 | 852,46,female,35.5,0,yes,northeast 855 | 853,53,female,23.8,2,no,northeast 856 | 854,49,female,23.8,3,yes,northeast 857 | 855,20,female,29.6,0,no,southwest 858 | 856,48,female,33.1,0,yes,southeast 859 | 857,25,male,24.1,0,yes,northwest 860 | 858,25,female,32.2,1,no,southeast 861 | 859,57,male,28.1,0,no,southwest 862 | 860,37,female,47.6,2,yes,southwest 863 | 861,38,female,28.0,3,no,southwest 864 | 862,55,female,33.5,2,no,northwest 865 | 863,36,female,19.9,0,no,northeast 866 | 864,51,male,25.4,0,no,southwest 867 | 865,40,male,29.9,2,no,southwest 868 | 866,18,male,37.3,0,no,southeast 869 | 867,57,male,43.7,1,no,southwest 870 | 868,61,male,23.7,0,no,northeast 871 | 869,25,female,24.3,3,no,southwest 872 | 870,50,male,36.2,0,no,southwest 873 | 871,26,female,29.5,1,no,southeast 874 | 872,42,male,24.9,0,no,southeast 875 | 873,43,male,30.1,1,no,southwest 876 | 874,44,male,21.9,3,no,northeast 877 | 875,23,female,28.1,0,no,northwest 878 | 876,49,female,27.1,1,no,southwest 879 | 877,33,male,33.4,5,no,southeast 880 | 878,41,male,28.8,1,no,southwest 881 | 879,37,female,29.5,2,no,southwest 882 | 880,22,male,34.8,3,no,southwest 883 | 881,23,male,27.4,1,no,northwest 884 | 882,21,female,22.1,0,no,northeast 885 | 883,51,female,37.1,3,yes,northeast 886 | 884,25,male,26.7,4,no,northwest 887 | 885,32,male,28.9,1,yes,southeast 888 | 886,57,male,29.0,0,yes,northeast 889 | 887,36,female,30.0,0,no,northwest 890 | 888,22,male,39.5,0,no,southwest 891 | 889,57,male,33.6,1,no,northwest 892 | 890,64,female,26.9,0,yes,northwest 893 | 891,36,female,29.0,4,no,southeast 894 | 892,54,male,24.0,0,no,northeast 895 | 893,47,male,38.9,2,yes,southeast 896 | 894,62,male,32.1,0,no,northeast 897 | 895,61,female,44.0,0,no,southwest 898 | 896,43,female,20.0,2,yes,northeast 899 | 897,19,male,25.6,1,no,northwest 900 | 898,18,female,40.3,0,no,southeast 901 | 899,19,female,22.5,0,no,northwest 902 | 900,49,male,22.5,0,no,northeast 903 | 901,60,male,40.9,0,yes,southeast 904 | 902,26,male,27.3,3,no,northeast 905 | 903,49,male,36.9,0,no,southeast 906 | 904,60,female,35.1,0,no,southwest 907 | 905,26,female,29.4,2,no,northeast 908 | 906,27,male,32.6,3,no,northeast 909 | 907,44,female,32.3,1,no,southeast 910 | 908,63,male,39.8,3,no,southwest 911 | 909,32,female,24.6,0,yes,southwest 912 | 910,22,male,28.3,1,no,northwest 913 | 911,18,male,31.7,0,yes,northeast 914 | 912,59,female,26.7,3,no,northwest 915 | 913,44,female,27.5,1,no,southwest 916 | 914,33,male,24.6,2,no,northwest 917 | 915,24,female,34.0,0,no,southeast 918 | 916,43,female,26.9,0,yes,northwest 919 | 917,45,male,22.9,0,yes,northeast 920 | 918,61,female,28.2,0,no,southwest 921 | 919,35,female,34.2,1,no,southeast 922 | 920,62,female,25.0,0,no,southwest 923 | 921,62,female,33.2,0,no,southwest 924 | 922,38,male,31.0,1,no,southwest 925 | 923,34,male,35.8,0,no,northwest 926 | 924,43,male,23.2,0,no,southwest 927 | 925,50,male,32.1,2,no,northeast 928 | 926,19,female,23.4,2,no,southwest 929 | 927,57,female,20.1,1,no,southwest 930 | 928,62,female,39.2,0,no,southeast 931 | 929,41,male,34.2,1,no,southeast 932 | 930,26,male,46.5,1,no,southeast 933 | 931,39,female,32.5,1,no,southwest 934 | 932,46,male,25.8,5,no,southwest 935 | 933,45,female,35.3,0,no,southwest 936 | 934,32,male,37.2,2,no,southeast 937 | 935,59,female,27.5,0,no,southwest 938 | 936,44,male,29.7,2,no,northeast 939 | 937,39,female,24.2,5,no,northwest 940 | 938,18,male,26.2,2,no,southeast 941 | 939,53,male,29.5,0,no,southeast 942 | 940,18,male,23.2,0,no,southeast 943 | 941,50,female,46.1,1,no,southeast 944 | 942,18,female,40.2,0,no,northeast 945 | 943,19,male,22.6,0,no,northwest 946 | 944,62,male,39.9,0,no,southeast 947 | 945,56,female,35.8,1,no,southwest 948 | 946,42,male,35.8,2,no,southwest 949 | 947,37,male,34.2,1,yes,northeast 950 | 948,42,male,31.3,0,no,northwest 951 | 949,25,male,29.7,3,yes,southwest 952 | 950,57,male,18.3,0,no,northeast 953 | 951,51,male,42.9,2,yes,southeast 954 | 952,30,female,28.4,1,no,northwest 955 | 953,44,male,30.2,2,yes,southwest 956 | 954,34,male,27.8,1,yes,northwest 957 | 955,31,male,39.5,1,no,southeast 958 | 956,54,male,30.8,1,yes,southeast 959 | 957,24,male,26.8,1,no,northwest 960 | 958,43,male,35.0,1,yes,northeast 961 | 959,48,male,36.7,1,no,northwest 962 | 960,19,female,39.6,1,no,northwest 963 | 961,29,female,25.9,0,no,southwest 964 | 962,63,female,35.2,1,no,southeast 965 | 963,46,male,24.8,3,no,northeast 966 | 964,52,male,36.8,2,no,northwest 967 | 965,35,male,27.1,1,no,southwest 968 | 966,51,male,24.8,2,yes,northwest 969 | 967,44,male,25.4,1,no,northwest 970 | 968,21,male,25.7,2,no,northeast 971 | 969,39,female,34.3,5,no,southeast 972 | 970,50,female,28.2,3,no,southeast 973 | 971,34,female,23.6,0,no,northeast 974 | 972,22,female,20.2,0,no,northwest 975 | 973,19,female,40.5,0,no,southwest 976 | 974,26,male,35.4,0,no,southeast 977 | 975,29,male,22.9,0,yes,northeast 978 | 976,48,male,40.2,0,no,southeast 979 | 977,26,male,29.2,1,no,southeast 980 | 978,45,female,40.0,3,no,northeast 981 | 979,36,female,29.9,0,no,southeast 982 | 980,54,male,25.5,1,no,northeast 983 | 981,34,male,21.4,0,no,northeast 984 | 982,31,male,25.9,3,yes,southwest 985 | 983,27,female,30.6,1,no,northeast 986 | 984,20,male,30.1,5,no,northeast 987 | 985,44,female,25.8,1,no,southwest 988 | 986,43,male,30.1,3,no,northwest 989 | 987,45,female,27.6,1,no,northwest 990 | 988,34,male,34.7,0,no,northeast 991 | 989,24,female,20.5,0,yes,northeast 992 | 990,26,female,19.8,1,no,southwest 993 | 991,38,female,27.8,2,no,northeast 994 | 992,50,female,31.6,2,no,southwest 995 | 993,38,male,28.3,1,no,southeast 996 | 994,27,female,20.0,3,yes,northwest 997 | 995,39,female,23.3,3,no,northeast 998 | 996,39,female,34.1,3,no,southwest 999 | 997,63,female,36.9,0,no,southeast 1000 | 998,33,female,36.3,3,no,northeast 1001 | 999,36,female,26.9,0,no,northwest 1002 | 1000,30,male,23.0,2,yes,northwest 1003 | 1001,24,male,32.7,0,yes,southwest 1004 | 1002,24,male,25.8,0,no,southwest 1005 | 1003,48,male,29.6,0,no,southwest 1006 | 1004,47,male,19.2,1,no,northeast 1007 | 1005,29,male,31.7,2,no,northwest 1008 | 1006,28,male,29.3,2,no,northeast 1009 | 1007,47,male,28.2,3,yes,northwest 1010 | 1008,25,male,25.0,2,no,northeast 1011 | 1009,51,male,27.7,1,no,northeast 1012 | 1010,48,female,22.8,0,no,southwest 1013 | 1011,43,male,20.1,2,yes,southeast 1014 | 1012,61,female,33.3,4,no,southeast 1015 | 1013,48,male,32.3,1,no,northwest 1016 | 1014,38,female,27.6,0,no,southwest 1017 | 1015,59,male,25.5,0,no,northwest 1018 | 1016,19,female,24.6,1,no,northwest 1019 | 1017,26,female,34.2,2,no,southwest 1020 | 1018,54,female,35.8,3,no,northwest 1021 | 1019,21,female,32.7,2,no,northwest 1022 | 1020,51,male,37.0,0,no,southwest 1023 | 1021,22,female,31.0,3,yes,southeast 1024 | 1022,47,male,36.1,1,yes,southeast 1025 | 1023,18,male,23.3,1,no,southeast 1026 | 1024,47,female,45.3,1,no,southeast 1027 | 1025,21,female,34.6,0,no,southwest 1028 | 1026,19,male,26.0,1,yes,northwest 1029 | 1027,23,male,18.7,0,no,northwest 1030 | 1028,54,male,31.6,0,no,southwest 1031 | 1029,37,female,17.3,2,no,northeast 1032 | 1030,46,female,23.7,1,yes,northwest 1033 | 1031,55,female,35.2,0,yes,southeast 1034 | 1032,30,female,27.9,0,no,northeast 1035 | 1033,18,male,21.6,0,yes,northeast 1036 | 1034,61,male,38.4,0,no,northwest 1037 | 1035,54,female,23.0,3,no,southwest 1038 | 1036,22,male,37.1,2,yes,southeast 1039 | 1037,45,female,30.5,1,yes,northwest 1040 | 1038,22,male,28.9,0,no,northeast 1041 | 1039,19,male,27.3,2,no,northwest 1042 | 1040,35,female,28.0,0,yes,northwest 1043 | 1041,18,male,23.1,0,no,northeast 1044 | 1042,20,male,30.7,0,yes,northeast 1045 | 1043,28,female,25.8,0,no,southwest 1046 | 1044,55,male,35.2,1,no,northeast 1047 | 1045,43,female,24.7,2,yes,northwest 1048 | 1046,43,female,25.1,0,no,northeast 1049 | 1047,22,male,52.6,1,yes,southeast 1050 | 1048,25,female,22.5,1,no,northwest 1051 | 1049,49,male,30.9,0,yes,southwest 1052 | 1050,44,female,37.0,1,no,northwest 1053 | 1051,64,male,26.4,0,no,northeast 1054 | 1052,49,male,29.8,1,no,northeast 1055 | 1053,47,male,29.8,3,yes,southwest 1056 | 1054,27,female,21.5,0,no,northwest 1057 | 1055,55,male,27.6,0,no,northwest 1058 | 1056,48,female,28.9,0,no,southwest 1059 | 1057,45,female,31.8,0,no,southeast 1060 | 1058,24,female,39.5,0,no,southeast 1061 | 1059,32,male,33.8,1,no,northwest 1062 | 1060,24,male,32.0,0,no,southeast 1063 | 1061,57,male,27.9,1,no,southeast 1064 | 1062,59,male,41.1,1,yes,southeast 1065 | 1063,36,male,28.6,3,no,northwest 1066 | 1064,29,female,25.6,4,no,southwest 1067 | 1065,42,female,25.3,1,no,southwest 1068 | 1066,48,male,37.3,2,no,southeast 1069 | 1067,39,male,42.7,0,no,northeast 1070 | 1068,63,male,21.7,1,no,northwest 1071 | 1069,54,female,31.9,1,no,southeast 1072 | 1070,37,male,37.1,1,yes,southeast 1073 | 1071,63,male,31.4,0,no,northeast 1074 | 1072,21,male,31.3,0,no,northwest 1075 | 1073,54,female,28.9,2,no,northeast 1076 | 1074,60,female,18.3,0,no,northeast 1077 | 1075,32,female,29.6,1,no,southeast 1078 | 1076,47,female,32.0,1,no,southwest 1079 | 1077,21,male,26.0,0,no,northeast 1080 | 1078,28,male,31.7,0,yes,southeast 1081 | 1079,63,male,33.7,3,no,southeast 1082 | 1080,18,male,21.8,2,no,southeast 1083 | 1081,32,male,27.8,1,no,northwest 1084 | 1082,38,male,20.0,1,no,northwest 1085 | 1083,32,male,31.5,1,no,southwest 1086 | 1084,62,female,30.5,2,no,northwest 1087 | 1085,39,female,18.3,5,yes,southwest 1088 | 1086,55,male,29.0,0,no,northeast 1089 | 1087,57,male,31.5,0,no,northwest 1090 | 1088,52,male,47.7,1,no,southeast 1091 | 1089,56,male,22.1,0,no,southwest 1092 | 1090,47,male,36.2,0,yes,southeast 1093 | 1091,55,female,29.8,0,no,northeast 1094 | 1092,23,male,32.7,3,no,southwest 1095 | 1093,22,female,30.4,0,yes,northwest 1096 | 1094,50,female,33.7,4,no,southwest 1097 | 1095,18,female,31.4,4,no,northeast 1098 | 1096,51,female,35.0,2,yes,northeast 1099 | 1097,22,male,33.8,0,no,southeast 1100 | 1098,52,female,30.9,0,no,northeast 1101 | 1099,25,female,34.0,1,no,southeast 1102 | 1100,33,female,19.1,2,yes,northeast 1103 | 1101,53,male,28.6,3,no,southwest 1104 | 1102,29,male,38.9,1,no,southeast 1105 | 1103,58,male,36.1,0,no,southeast 1106 | 1104,37,male,29.8,0,no,southwest 1107 | 1105,54,female,31.2,0,no,southeast 1108 | 1106,49,female,29.9,0,no,northwest 1109 | 1107,50,female,26.2,2,no,northwest 1110 | 1108,26,male,30.0,1,no,southwest 1111 | 1109,45,male,20.4,3,no,southeast 1112 | 1110,54,female,32.3,1,no,northeast 1113 | 1111,38,male,38.4,3,yes,southeast 1114 | 1112,48,female,25.9,3,yes,southeast 1115 | 1113,28,female,26.3,3,no,northwest 1116 | 1114,23,male,24.5,0,no,northeast 1117 | 1115,55,male,32.7,1,no,southeast 1118 | 1116,41,male,29.6,5,no,northeast 1119 | 1117,25,male,33.3,2,yes,southeast 1120 | 1118,33,male,35.8,1,yes,southeast 1121 | 1119,30,female,20.0,3,no,northwest 1122 | 1120,23,female,31.4,0,yes,southwest 1123 | 1121,46,male,38.2,2,no,southeast 1124 | 1122,53,female,36.9,3,yes,northwest 1125 | 1123,27,female,32.4,1,no,northeast 1126 | 1124,23,female,42.8,1,yes,northeast 1127 | 1125,63,female,25.1,0,no,northwest 1128 | 1126,55,male,29.9,0,no,southwest 1129 | 1127,35,female,35.9,2,no,southeast 1130 | 1128,34,male,32.8,1,no,southwest 1131 | 1129,19,female,18.6,0,no,southwest 1132 | 1130,39,female,23.9,5,no,southeast 1133 | 1131,27,male,45.9,2,no,southwest 1134 | 1132,57,male,40.3,0,no,northeast 1135 | 1133,52,female,18.3,0,no,northwest 1136 | 1134,28,male,33.8,0,no,northwest 1137 | 1135,50,female,28.1,3,no,northwest 1138 | 1136,44,female,25.0,1,no,southwest 1139 | 1137,26,female,22.2,0,no,northwest 1140 | 1138,33,male,30.3,0,no,southeast 1141 | 1139,19,female,32.5,0,yes,northwest 1142 | 1140,50,male,37.1,1,no,southeast 1143 | 1141,41,female,32.6,3,no,southwest 1144 | 1142,52,female,24.9,0,no,southeast 1145 | 1143,39,male,32.3,2,no,southeast 1146 | 1144,50,male,32.3,2,no,southwest 1147 | 1145,52,male,32.8,3,no,northwest 1148 | 1146,60,male,32.8,0,yes,southwest 1149 | 1147,20,female,31.9,0,no,northwest 1150 | 1148,55,male,21.5,1,no,southwest 1151 | 1149,42,male,34.1,0,no,southwest 1152 | 1150,18,female,30.3,0,no,northeast 1153 | 1151,58,female,36.5,0,no,northwest 1154 | 1152,43,female,32.6,3,yes,southeast 1155 | 1153,35,female,35.8,1,no,northwest 1156 | 1154,48,female,27.9,4,no,northwest 1157 | 1155,36,female,22.1,3,no,northeast 1158 | 1156,19,male,44.9,0,yes,southeast 1159 | 1157,23,female,23.2,2,no,northwest 1160 | 1158,20,female,30.6,0,no,northeast 1161 | 1159,32,female,41.1,0,no,southwest 1162 | 1160,43,female,34.6,1,no,northwest 1163 | 1161,34,male,42.1,2,no,southeast 1164 | 1162,30,male,38.8,1,no,southeast 1165 | 1163,18,female,28.2,0,no,northeast 1166 | 1164,41,female,28.3,1,no,northwest 1167 | 1165,35,female,26.1,0,no,northeast 1168 | 1166,57,male,40.4,0,no,southeast 1169 | 1167,29,female,24.6,2,no,southwest 1170 | 1168,32,male,35.2,2,no,southwest 1171 | 1169,37,female,34.1,1,no,northwest 1172 | 1170,18,male,27.4,1,yes,northeast 1173 | 1171,43,female,26.7,2,yes,southwest 1174 | 1172,56,female,41.9,0,no,southeast 1175 | 1173,38,male,29.3,2,no,northwest 1176 | 1174,29,male,32.1,2,no,northwest 1177 | 1175,22,female,27.1,0,no,southwest 1178 | 1176,52,female,24.1,1,yes,northwest 1179 | 1177,40,female,27.4,1,no,southwest 1180 | 1178,23,female,34.9,0,no,northeast 1181 | 1179,31,male,29.8,0,yes,southeast 1182 | 1180,42,female,41.3,1,no,northeast 1183 | 1181,24,female,29.9,0,no,northwest 1184 | 1182,25,female,30.3,0,no,southwest 1185 | 1183,48,female,27.4,1,no,northeast 1186 | 1184,23,female,28.5,1,yes,southeast 1187 | 1185,45,male,23.6,2,no,northeast 1188 | 1186,20,male,35.6,3,yes,northwest 1189 | 1187,62,female,32.7,0,no,northwest 1190 | 1188,43,female,25.3,1,yes,northeast 1191 | 1189,23,female,28.0,0,no,southwest 1192 | 1190,31,female,32.8,2,no,northwest 1193 | 1191,41,female,21.8,1,no,northeast 1194 | 1192,58,female,32.4,1,no,northeast 1195 | 1193,48,female,36.6,0,no,northwest 1196 | 1194,31,female,21.8,0,no,northwest 1197 | 1195,19,female,27.9,3,no,northwest 1198 | 1196,19,female,30.0,0,yes,northwest 1199 | 1197,41,male,33.6,0,no,southeast 1200 | 1198,40,male,29.4,1,no,northwest 1201 | 1199,31,female,25.8,2,no,southwest 1202 | 1200,37,male,24.3,2,no,northwest 1203 | 1201,46,male,40.4,2,no,northwest 1204 | 1202,22,male,32.1,0,no,northwest 1205 | 1203,51,male,32.3,1,no,northeast 1206 | 1204,18,female,27.3,3,yes,southeast 1207 | 1205,35,male,17.9,1,no,northwest 1208 | 1206,59,female,34.8,2,no,southwest 1209 | 1207,36,male,33.4,2,yes,southwest 1210 | 1208,37,female,25.6,1,yes,northeast 1211 | 1209,59,male,37.1,1,no,southwest 1212 | 1210,36,male,30.9,1,no,northwest 1213 | 1211,39,male,34.1,2,no,southeast 1214 | 1212,18,male,21.5,0,no,northeast 1215 | 1213,52,female,33.3,2,no,southwest 1216 | 1214,27,female,31.3,1,no,northwest 1217 | 1215,18,male,39.1,0,no,northeast 1218 | 1216,40,male,25.1,0,no,southeast 1219 | 1217,29,male,37.3,2,no,southeast 1220 | 1218,46,female,34.6,1,yes,southwest 1221 | 1219,38,female,30.2,3,no,northwest 1222 | 1220,30,female,21.9,1,no,northeast 1223 | 1221,40,male,25.0,2,no,southeast 1224 | 1222,50,male,25.3,0,no,southeast 1225 | 1223,20,female,24.4,0,yes,southeast 1226 | 1224,41,male,23.9,1,no,northeast 1227 | 1225,33,female,39.8,1,no,southeast 1228 | 1226,38,male,16.8,2,no,northeast 1229 | 1227,42,male,37.2,2,no,southeast 1230 | 1228,56,male,34.4,0,no,southeast 1231 | 1229,58,male,30.3,0,no,northeast 1232 | 1230,52,male,34.5,3,yes,northwest 1233 | 1231,20,female,21.8,0,yes,southwest 1234 | 1232,54,female,24.6,3,no,northwest 1235 | 1233,58,male,23.3,0,no,southwest 1236 | 1234,45,female,27.8,2,no,southeast 1237 | 1235,26,male,31.1,0,no,northwest 1238 | 1236,63,female,21.7,0,no,northeast 1239 | 1237,58,female,28.2,0,no,northwest 1240 | 1238,37,male,22.7,3,no,northeast 1241 | 1239,25,female,42.1,1,no,southeast 1242 | 1240,52,male,41.8,2,yes,southeast 1243 | 1241,64,male,37.0,2,yes,southeast 1244 | 1242,22,female,21.3,3,no,northwest 1245 | 1243,28,female,33.1,0,no,southeast 1246 | 1244,18,male,33.3,0,no,southeast 1247 | 1245,28,male,24.3,5,no,southwest 1248 | 1246,45,female,25.7,3,no,southwest 1249 | 1247,33,male,29.4,4,no,southwest 1250 | 1248,18,female,39.8,0,no,southeast 1251 | 1249,32,male,33.6,1,yes,northeast 1252 | 1250,24,male,29.8,0,yes,northeast 1253 | 1251,19,male,19.8,0,no,southwest 1254 | 1252,20,male,27.3,0,yes,southwest 1255 | 1253,40,female,29.3,4,no,southwest 1256 | 1254,34,female,27.7,0,no,southeast 1257 | 1255,42,female,37.9,0,no,southwest 1258 | 1256,51,female,36.4,3,no,northwest 1259 | 1257,54,female,27.6,1,no,northwest 1260 | 1258,55,male,37.7,3,no,northwest 1261 | 1259,52,female,23.2,0,no,northeast 1262 | 1260,32,female,20.5,0,no,northeast 1263 | 1261,28,male,37.1,1,no,southwest 1264 | 1262,41,female,28.1,1,no,southeast 1265 | 1263,43,female,29.9,1,no,southwest 1266 | 1264,49,female,33.3,2,no,northeast 1267 | 1265,64,male,23.8,0,yes,southeast 1268 | 1266,55,female,30.5,0,no,southwest 1269 | 1267,24,male,31.1,0,yes,northeast 1270 | 1268,20,female,33.3,0,no,southwest 1271 | 1269,45,male,27.5,3,no,southwest 1272 | 1270,26,male,33.9,1,no,northwest 1273 | 1271,25,female,34.5,0,no,northwest 1274 | 1272,43,male,25.5,5,no,southeast 1275 | 1273,35,male,27.6,1,no,southeast 1276 | 1274,26,male,27.1,0,yes,southeast 1277 | 1275,57,male,23.7,0,no,southwest 1278 | 1276,22,female,30.4,0,no,northeast 1279 | 1277,32,female,29.7,0,no,northwest 1280 | 1278,39,male,29.9,1,yes,northeast 1281 | 1279,25,female,26.8,2,no,northwest 1282 | 1280,48,female,33.3,0,no,southeast 1283 | 1281,47,female,27.6,2,yes,northwest 1284 | 1282,18,female,21.7,0,yes,northeast 1285 | 1283,18,male,30.0,1,no,southeast 1286 | 1284,61,male,36.3,1,yes,southwest 1287 | 1285,47,female,24.3,0,no,northeast 1288 | 1286,28,female,17.3,0,no,northeast 1289 | 1287,36,female,25.9,1,no,southwest 1290 | 1288,20,male,39.4,2,yes,southwest 1291 | 1289,44,male,34.3,1,no,southeast 1292 | 1290,38,female,20.0,2,no,northeast 1293 | 1291,19,male,34.9,0,yes,southwest 1294 | 1292,21,male,23.2,0,no,southeast 1295 | 1293,46,male,25.7,3,no,northwest 1296 | 1294,58,male,25.2,0,no,northeast 1297 | 1295,20,male,22.0,1,no,southwest 1298 | 1296,18,male,26.1,0,no,northeast 1299 | 1297,28,female,26.5,2,no,southeast 1300 | 1298,33,male,27.5,2,no,northwest 1301 | 1299,19,female,25.7,1,no,northwest 1302 | 1300,45,male,30.4,0,yes,southeast 1303 | 1301,62,male,30.9,3,yes,northwest 1304 | 1302,25,female,20.8,1,no,southwest 1305 | 1303,43,male,27.8,0,yes,southwest 1306 | 1304,42,male,24.6,2,yes,northeast 1307 | 1305,24,female,27.7,0,no,southeast 1308 | 1306,29,female,21.9,0,yes,northeast 1309 | 1307,32,male,28.1,4,yes,northwest 1310 | 1308,25,female,30.2,0,yes,southwest 1311 | 1309,41,male,32.2,2,no,southwest 1312 | 1310,42,male,26.3,1,no,northwest 1313 | 1311,33,female,26.7,0,no,northwest 1314 | 1312,34,male,42.9,1,no,southwest 1315 | 1313,19,female,34.7,2,yes,southwest 1316 | 1314,30,female,23.7,3,yes,northwest 1317 | 1315,18,male,28.3,1,no,northeast 1318 | 1316,19,female,20.6,0,no,southwest 1319 | 1317,18,male,53.1,0,no,southeast 1320 | 1318,35,male,39.7,4,no,northeast 1321 | 1319,39,female,26.3,2,no,northwest 1322 | 1320,31,male,31.1,3,no,northwest 1323 | 1321,62,male,26.7,0,yes,northeast 1324 | 1322,62,male,38.8,0,no,southeast 1325 | 1323,42,female,40.4,2,yes,southeast 1326 | 1324,31,male,25.9,1,no,northwest 1327 | 1325,61,male,33.5,0,no,northeast 1328 | 1326,42,female,32.9,0,no,northeast 1329 | 1327,51,male,30.0,1,no,southeast 1330 | 1328,23,female,24.2,2,no,northeast 1331 | 1329,52,male,38.6,2,no,southwest 1332 | 1330,57,female,25.7,2,no,southeast 1333 | 1331,23,female,33.4,0,no,southwest 1334 | 1332,52,female,44.7,3,no,southwest 1335 | 1333,50,male,31.0,3,no,northwest 1336 | 1334,18,female,31.9,0,no,northeast 1337 | 1335,18,female,36.9,0,no,southeast 1338 | 1336,21,female,25.8,0,no,southwest 1339 | 1337,61,female,29.1,0,yes,northwest 1340 | --------------------------------------------------------------------------------