├── .idea ├── .name ├── vcs.xml ├── inspectionProfiles │ └── profiles_settings.xml ├── .gitignore └── misc.xml ├── Contact_Info ├── README.md ├── .gitignore ├── ProjectProposal_Group088_WI24.ipynb ├── DataCheckpoint_Group088_WI24.ipynb ├── student-mat.csv ├── Group088_Final_Project.ipynb └── student-por.csv /.idea/.name: -------------------------------------------------------------------------------- 1 | EDACheckpoint_Group088_WI24.ipynb -------------------------------------------------------------------------------- /Contact_Info: -------------------------------------------------------------------------------- 1 | How should I contact you guys? 2 | My contact info: 3 | tic001@ucsd.edu 4 | Discord: tic_0912 5 | 6 | Oswaldo's Contact info: 7 | email: omedinajr@ucsd.edu 8 | Discord: wonderoz 9 | -------------------------------------------------------------------------------- /.idea/vcs.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | -------------------------------------------------------------------------------- /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 6 | -------------------------------------------------------------------------------- /.idea/.gitignore: -------------------------------------------------------------------------------- 1 | # Default ignored files 2 | /shelf/ 3 | /workspace.xml 4 | # Editor-based HTTP Client requests 5 | /httpRequests/ 6 | # Datasource local storage ignored files 7 | /dataSources/ 8 | /dataSources.local.xml 9 | venv/ 10 | .idea/# GitHub Copilot persisted chat sessions 11 | /copilot/chatSessions 12 | -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 6 | 7 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | This is your group repo for your final project for COGS108. 2 | 3 | This repository is private, and is only visible to the course instructors and your group mates; it is not visible to anyone else. 4 | 5 | Template notebooks for each component are provided. Only work on the notebook prior to its due date. After each submission is due, move onto the next notebook (For example, after the proposal is due, start working in the Data Checkpoint notebook). 6 | 7 | This repository will be frozen on the final project due date. No further changes can be made after that time. 8 | 9 | Your project proposal and final project will be graded based solely on the corresponding project notebooks in this repository. 10 | 11 | Template Jupyter notebooks have been included, with your group number replacing the XXX in the following file names. For each due date, make sure you have a notebook present in this repository by each due date with the following name (where XXX is replaced by your group number): 12 | 13 | - `ProjectProposal_groupXXX.ipynb` 14 | - `DataCheckpoint_groupXXX.ipynb` 15 | - `EDACheckpoint_groupXXX.ipynb` 16 | - `FinalProject_groupXXX.ipynb` 17 | 18 | This is *your* repo. You are free to manage the repo as you see fit, edit this README, add data files, add scripts, etc. So long as there are the four files above on due dates with the required information, the rest is up to you all. 19 | 20 | Also, you are free and encouraged to share this project after the course and to add it to your portfolio. Just be sure to fork it to your GitHub at the end of the quarter! 21 | -------------------------------------------------------------------------------- /.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 | # pdm 105 | # Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. 106 | #pdm.lock 107 | # pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it 108 | # in version control. 109 | # https://pdm.fming.dev/#use-with-ide 110 | .pdm.toml 111 | 112 | # PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm 113 | __pypackages__/ 114 | 115 | # Celery stuff 116 | celerybeat-schedule 117 | celerybeat.pid 118 | 119 | # SageMath parsed files 120 | *.sage.py 121 | 122 | # Environments 123 | .env 124 | .venv 125 | env/ 126 | venv/ 127 | ENV/ 128 | env.bak/ 129 | venv.bak/ 130 | 131 | # Spyder project settings 132 | .spyderproject 133 | .spyproject 134 | 135 | # Rope project settings 136 | .ropeproject 137 | 138 | # mkdocs documentation 139 | /site 140 | 141 | # mypy 142 | .mypy_cache/ 143 | .dmypy.json 144 | dmypy.json 145 | 146 | # Pyre type checker 147 | .pyre/ 148 | 149 | # pytype static type analyzer 150 | .pytype/ 151 | 152 | # Cython debug symbols 153 | cython_debug/ 154 | 155 | # PyCharm 156 | # JetBrains specific template is maintained in a separate JetBrains.gitignore that can 157 | # be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore 158 | # and can be added to the global gitignore or merged into this file. For a more nuclear 159 | # option (not recommended) you can uncomment the following to ignore the entire idea folder. 160 | #.idea/ 161 | 162 | -------------------------------------------------------------------------------- /ProjectProposal_Group088_WI24.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "# COGS 108 - Project Proposal" 8 | ] 9 | }, 10 | { 11 | "cell_type": "markdown", 12 | "metadata": {}, 13 | "source": [ 14 | "# Names\n", 15 | "\n", 16 | "- Oswaldo Medina Jr\n", 17 | "- Minh Duong\n", 18 | "- Ryan Hwang\n", 19 | "- Tianhao Chen\n", 20 | "- Sapna Rachapudi" 21 | ] 22 | }, 23 | { 24 | "cell_type": "markdown", 25 | "metadata": {}, 26 | "source": [ 27 | "# Research Question" 28 | ] 29 | }, 30 | { 31 | "cell_type": "markdown", 32 | "metadata": {}, 33 | "source": [ 34 | "- Include a specific, clear data science question.\n", 35 | "- Make sure what you're measuring (variables) to answer the question is clear\n", 36 | "\n", 37 | "What is your research question? Include the specific question you're setting out to answer. This question should be specific, answerable with data, and clear. A general question with specific subquestions is permitted. (1-2 sentences)\n", 38 | "\n", 39 | "***Does the salaries of administrative faculty and other senior staff have a direct impact on the student bodies’ wellbeing and success at California public universities? How is this having an impact on faculty and staff that are supporting students?***" 40 | ] 41 | }, 42 | { 43 | "cell_type": "markdown", 44 | "metadata": {}, 45 | "source": [ 46 | "## Background and Prior Work" 47 | ] 48 | }, 49 | { 50 | "cell_type": "markdown", 51 | "metadata": {}, 52 | "source": [ 53 | "\n", 54 | "- Include a general introduction to your topic\n", 55 | "- Include explanation of what work has been done previously\n", 56 | "- Include citations or links to previous work\n", 57 | "\n", 58 | "This section will present the background and context of your topic and question in a few paragraphs. Include a general introduction to your topic and then describe what information you currently know about the topic after doing your initial research. Include references to other projects who have asked similar questions or approached similar problems. Explain what others have learned in their projects.\n", 59 | "\n", 60 | "Find some relevant prior work, and reference those sources, summarizing what each did and what they learned. Even if you think you have a totally novel question, find the most similar prior work that you can and discuss how it relates to your project.\n", 61 | "\n", 62 | "References can be research publications, but they need not be. Blogs, GitHub repositories, company websites, etc., are all viable references if they are relevant to your project. It must be clear which information comes from which references. (2-3 paragraphs, including at least 2 references)\n", 63 | "\n", 64 | " **Use inline citation through HTML footnotes to specify which references support which statements** \n", 65 | "\n", 66 | "For example: After government genocide in the 20th century, real birds were replaced with surveillance drones designed to look just like birds.[1](#cite_note-1) Use a minimum of 2 or 3 citations, but we prefer more.[2](#cite_note-2) You need enough to fully explain and back up important facts. \n", 67 | "\n", 68 | "Note that if you click a footnote number in the paragraph above it will transport you to the proper entry in the footnotes list below. And if you click the ^ in the footnote entry, it will return you to the place in the main text where the footnote is made.\n", 69 | "\n", 70 | "To understand the HTML here, ` ` is a tag that allows you produce a named reference for a given location. Markdown has the construciton `[text with hyperlink](#named reference)` that will produce a clickable link that transports you the named reference.\n", 71 | "\n", 72 | "1. [^](#cite_ref-1) Lorenz, T. (9 Dec 2021) Birds Aren’t Real, or Are They? Inside a Gen Z Conspiracy Theory. *The New York Times*. https://www.nytimes.com/2021/12/09/technology/birds-arent-real-gen-z-misinformation.html \n", 73 | "2. [^](#cite_ref-2) Also refs should be important to the background, not some randomly chosen vaguely related stuff. Include a web link if possible in refs as above.\n" 74 | ] 75 | }, 76 | { 77 | "cell_type": "markdown", 78 | "metadata": {}, 79 | "source": [ 80 | "The relationship between faculty salaries and student success and wellbeing is a complex and multifaceted issue within the realm of educational economics and policy. It posits that the compensation of academic staff might directly or indirectly influence educational outcomes and the overall experience of students. Initial research suggests that faculty salaries may be linked to the ability of institutions to attract and retain high-quality educators, which in turn could affect teaching effectiveness, mentorship quality, and research opportunities for students. These researches mostly related with our hypothesis that there exists a positive relationship between faculty salaries and students performance.\n", 81 | "\n", 82 | "In the research named The Truth About Teacher Salaries and its Effects on Teachers and Students, Savannah Anderson analyzed the teachers responsibilities in class and student education quality to demonstrate how they related. He showed that teachers usually spent 23.8% time outside school to deal with students every week to further their evidence that teachers with high salaries have more motivation to do so. We shall consider including teachers' payment and time they devoted to the students in our model construction.\n", 83 | "\n", 84 | "In the article named Higher Pay Leads to Smarter Teachers, Global Study constructed a graph about students' performance in Math and reading with respect to the payment of teachers from different countries, which demonstrates that there might exist a linear relationship between teacher pay and student performance measured by GPA. After reviewing these two articles, we may want to include features more than GPA, since we believe that mental health also matters to students.\n", 85 | "\n", 86 | "Refernces:\n", 87 | "\n", 88 | "[Link 1](https://scholarworks.calstate.edu/downloads/6t053p45j)\n", 89 | "[Link 2](https://www.edweek.org/teaching-learning/higher-pay-leads-to-smarter-teachers-global-study-says/2019/02)\n", 90 | "[Link 3](https://www.nea.org/nea-today/all-news-articles/state-funding-higher-education-still-lagging#:~:text=Across%20the%20U.S.%2C%2032%20states%20are%20spending%20less%20on%20public,the%20nation's%20student%2Dloan%20crisis.)\n", 91 | "[Link 4](EJ1303987.pdf (ed.gov))" 92 | ] 93 | }, 94 | { 95 | "cell_type": "markdown", 96 | "metadata": {}, 97 | "source": [ 98 | "# Hypothesis\n" 99 | ] 100 | }, 101 | { 102 | "cell_type": "markdown", 103 | "metadata": {}, 104 | "source": [ 105 | "- Include your team's hypothesis\n", 106 | "- Ensure that this hypothesis is clear to readers\n", 107 | "- Explain why you think this will be the outcome (what was your thinking?)\n", 108 | "\n", 109 | "What is your main hypothesis/predictions about what the answer to your question is? Briefly explain your thinking. (2-3 sentences)\n", 110 | "\n", 111 | "- **Hypothesis:** the higher the salaries for higher up faculty at public California universities, the lower the student bodies’ wellbeing and success will be.\n", 112 | "\n", 113 | "- **Explanation:** with high salaries for top faculty could signal a university’s commitment to excellence in education. However, if portions of the budget are directed towards these salaries at the expense of student services, support programs, the direct impact will be negative. This could lead to a decrease in student wellbeing and success." 114 | ] 115 | }, 116 | { 117 | "cell_type": "markdown", 118 | "metadata": {}, 119 | "source": [ 120 | "# Data" 121 | ] 122 | }, 123 | { 124 | "cell_type": "markdown", 125 | "metadata": {}, 126 | "source": [ 127 | "1. Explain what the **ideal** dataset you would want to answer this question. (This should include: What variables? How many observations? Who/what/how would these data be collected? How would these data be stored/organized?)\n", 128 | "1. Search for potential **real** datasets that could provide you with something useful for this project. You do not have to find every piece of data you will use, but you do need to have demonstrated some idea that (a) this data is gettable and (b) that this data may be different from what your ideal is." 129 | ] 130 | }, 131 | { 132 | "cell_type": "markdown", 133 | "metadata": {}, 134 | "source": [ 135 | "- Administrators from various public universities in California organized by title, department, income before and after tax, pension, a standardized tier ranking to make it easier to compare faculty with similar roles/ authority but different titles. \n", 136 | "- Another data set of public california universities along with various metrics for student success such as graduation rates, retention, average starting/ mid career salary, field of study, student debt, some sort of standardized student satisfaction self rating\n", 137 | "- Ideally, we could get two sets of each of these data sets and do a comparison for each university, to see if making changes in a particular university can correlate to a change in that university’s students’ well being, but this might require adjusting for inflation and things like that, so it may not be feasible for us to work with. \n", 138 | "For the time period, I think it has to be older information, especially if we want to compare student success post graduation, we need to have accurate data on what they are currently doing. \n", 139 | "- Ideally, a third party would collect the data from Californian universities generally. Perhaps some sort of government agency that mandates the collection of that data.\n", 140 | "\n", 141 | "Work cited:\n", 142 | "[Link 1](https://transparentcalifornia.com/salaries/california-state-university/)\n", 143 | "[Link 2](https://collegescorecard.ed.gov/data/glossary/)" 144 | ] 145 | }, 146 | { 147 | "cell_type": "markdown", 148 | "metadata": {}, 149 | "source": [ 150 | "# Ethics & Privacy" 151 | ] 152 | }, 153 | { 154 | "cell_type": "markdown", 155 | "metadata": {}, 156 | "source": [ 157 | "- Thoughtful discussion of ethical concerns included\n", 158 | "- Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.)\n", 159 | "- How your group handled bias/ethical concerns clearly described\n", 160 | "\n", 161 | "Acknowledge and address any ethics & privacy related issues of your question(s), proposed dataset(s), and/or analyses. Use the information provided in lecture to guide your group discussion and thinking. If you need further guidance, check out [Deon's Ethics Checklist](http://deon.drivendata.org/#data-science-ethics-checklist). In particular:\n", 162 | "\n", 163 | "- Are there any biases/privacy/terms of use issues with the data you propsed?\n", 164 | "- Are there potential biases in your dataset(s), in terms of who it composes, and how it was collected, that may be problematic in terms of it allowing for equitable analysis? (For example, does your data exclude particular populations, or is it likely to reflect particular human biases in a way that could be a problem?)\n", 165 | "- How will you set out to detect these specific biases before, during, and after/when communicating your analysis?\n", 166 | "- Are there any other issues related to your topic area, data, and/or analyses that are potentially problematic in terms of data privacy and equitable impact?\n", 167 | "- How will you handle issues you identified?" 168 | ] 169 | }, 170 | { 171 | "cell_type": "markdown", 172 | "metadata": {}, 173 | "source": [ 174 | "**Ethics and privacy issues:**\n", 175 | "- The salaries of most of the top administration is publicly available, so that is not an issue on finding\n", 176 | " - Maybe anonymize this data too? Don’t refer to the administration by name\n", 177 | "- While researching and measuring the “success/wellbeing” of student bodies, that could bring up privacy issues\n", 178 | " - Anonymize the data and do not ever refer to any of the student sources by name or any identifying information\n", 179 | "- If any surveys are taken, make sure informed consent is obtained first\n", 180 | "\n", 181 | "**Are there any biases/privacy/terms of use issues with the data you proposed?**\n", 182 | "- Possible to underrepresented or overrepresent certain groups from our data sourcing\n", 183 | "- We should try to consider all possible biases to try and find a solution for it or try to avoid what we can\n", 184 | "- The data we will be using will be more from older sources, because there is not full databases of more recent salaries like 2023-2024, and it will be difficult collecting data about student success from current students as opposed to already graduated students with records already set\n", 185 | "- In our project, we will be transparent about any biases and how we attempted to mitigate them\n", 186 | "\n", 187 | "**How will you set out to detect these specific biases before, during, and after/when communicating your analysis?**\n", 188 | "- Follow strict guidelines to address biases and privacy concerns like data anonymization, and discuss which data sampling method would be the most appropriate for us\n", 189 | "- Maintain transparency of our project\n", 190 | "- Constantly be keeping an eye out for any new issues in biases or privacy issues that could be added to the project\n", 191 | "- Document and report on any biases or privacy issues found and how they were handled\n" 192 | ] 193 | }, 194 | { 195 | "cell_type": "markdown", 196 | "metadata": {}, 197 | "source": [ 198 | "# Team Expectations " 199 | ] 200 | }, 201 | { 202 | "cell_type": "markdown", 203 | "metadata": {}, 204 | "source": [ 205 | "\n", 206 | "Read over the [COGS108 Team Policies](https://github.com/COGS108/Projects/blob/master/COGS108_TeamPolicies.md) individually. Then, include your group’s expectations of one another for successful completion of your COGS108 project below. Discuss and agree on what all of your expectations are. Discuss how your team will communicate throughout the quarter and consider how you will communicate respectfully should conflicts arise. By including each member’s name above and by adding their name to the submission, you are indicating that you have read the COGS108 Team Policies, accept your team’s expectations below, and have every intention to fulfill them. These expectations are for your team’s use and benefit — they won’t be graded for their details." 207 | ] 208 | }, 209 | { 210 | "cell_type": "markdown", 211 | "metadata": {}, 212 | "source": [ 213 | "*Note: This may be different depending on what the assignment is. If we are working on the final project, the meeting may be more like catching up on the part that other people in the group are working on.*\n", 214 | "\n", 215 | "**Communication** \n", 216 | "- My team will meet via Zoom or Discord, whichever is convenient for everyone in the group. \n", 217 | "\n", 218 | "**Meeting**\n", 219 | "- We will try to have at least 1-2 meetings per week. The first meeting will be a discussion about what we need to do for the entire week. Then, we will wrap up the assignment in the second meeting.\n", 220 | "- The meeting time will be flexible based on the time available to people provided on When2Meet. \n", 221 | "\n", 222 | "**Expectation**\n", 223 | "- The research question is as stated in this proposal, and we expect to have a fit dataset to work on towards the end of the quarter.\n", 224 | "- As a group project, we will all divide the work equally so that everyone can have a chance to work.\n", 225 | "- If anyone has any issues while working on the project, that person needs to let other people know within a proper amount of time. \n", 226 | "- Weekly meeting notes with quick summary/ plan of action for the next week for each person. Check the meeting notes if you miss a meeting, and ask questions if you have them.\n", 227 | "- The team should take notes during each meeting regarding the project progress and discussions to ensures that everyone can catch up on any information they may have missed.\n" 228 | ] 229 | }, 230 | { 231 | "cell_type": "markdown", 232 | "metadata": {}, 233 | "source": [ 234 | "# Project Timeline Proposal" 235 | ] 236 | }, 237 | { 238 | "cell_type": "markdown", 239 | "metadata": {}, 240 | "source": [ 241 | "Specify your team's specific project timeline. An example timeline has been provided. Changes the dates, times, names, and details to fit your group's plan.\n", 242 | "\n", 243 | "If you think you will need any special resources or training outside what we have covered in COGS 108 to solve your problem, then your proposal should state these clearly. For example, if you have selected a problem that involves implementing multiple neural networks, please state this so we can make sure you know what you’re doing and so we can point you to resources you will need to implement your project. Note that you are not required to use outside methods.\n", 244 | "\n", 245 | "| Meeting Date | Meeting Time| Completed Before Meeting | Discuss at Meeting |\n", 246 | "|---|---|---|---|\n", 247 | "| 2/12 | 5 PM | Read & Think about our project proposal in depth and think about any direction we could head towards our storytelling for our project | Finalize our roles in the project. Which datasets are we trying to look for | \n", 248 | "| 2/19 | 5 PM | Search for datasets that are corrected with our project or any resource you might find to be useful | Discuss Wrangling and possible analytical approaches; Assign group members to lead each specific part | \n", 249 | "| 2/26 | 5 PM | Import & Wrangle Data; EDA | Review/Edit wrangling/EDA; Discuss Analysis Plan |\n", 250 | "| 3/4 | 5 PM | Finalize wrangling/ EDA; Being Analysis | Discuss/edit Analysis; Complete project check-in |\n", 251 | "| 3/11 | 5 PM | Continue Data Analyst; start on our results/conclusion/ discussion | continue to discuss our project and try to connect our data analyst towards the story we are trying to tell |\n", 252 | "| 3/14 | 5 PM | Complete the analysis; Continue on our results/conclusion/discussion | Discuss/edit the full project |\n", 253 | "| 3/18 | Before 11:59 PM | Any corrections that might be to be fixed | Turn in Final Project & Group Project Survey |" 254 | ] 255 | } 256 | ], 257 | "metadata": { 258 | "kernelspec": { 259 | "display_name": "Python 3 (ipykernel)", 260 | "language": "python", 261 | "name": "python3" 262 | }, 263 | "language_info": { 264 | "codemirror_mode": { 265 | "name": "ipython", 266 | "version": 3 267 | }, 268 | "file_extension": ".py", 269 | "mimetype": "text/x-python", 270 | "name": "python", 271 | "nbconvert_exporter": "python", 272 | "pygments_lexer": "ipython3", 273 | "version": "3.12.1" 274 | } 275 | }, 276 | "nbformat": 4, 277 | "nbformat_minor": 2 278 | } 279 | -------------------------------------------------------------------------------- /DataCheckpoint_Group088_WI24.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": {}, 6 | "source": [ 7 | "**If you lost points on the last checkpoint you can get them back by responding to TA/IA feedback** \n", 8 | "\n", 9 | "Update/change the relevant sections where you lost those points, make sure you respond on GitHub Issues to your TA/IA to call their attention to the changes you made here.\n", 10 | "\n", 11 | "Please update your Timeline... no battle plan survives contact with the enemy, so make sure we understand how your plans have changed." 12 | ] 13 | }, 14 | { 15 | "cell_type": "markdown", 16 | "metadata": {}, 17 | "source": [ 18 | "# COGS 108 - Data Checkpoint" 19 | ] 20 | }, 21 | { 22 | "cell_type": "markdown", 23 | "metadata": {}, 24 | "source": [ 25 | "# Names\n", 26 | "\n", 27 | "- Oswaldo Medina Jr\n", 28 | "- Minh Duong\n", 29 | "- Ryan Hwang\n", 30 | "- Tianhao Chen\n", 31 | "- Sapna Rachapudi" 32 | ] 33 | }, 34 | { 35 | "cell_type": "markdown", 36 | "metadata": {}, 37 | "source": [ 38 | "# Research Question" 39 | ] 40 | }, 41 | { 42 | "cell_type": "markdown", 43 | "metadata": {}, 44 | "source": [ 45 | "- Include a specific, clear data science question.\n", 46 | "- Make sure what you're measuring (variables) to answer the question is clear\n", 47 | "\n", 48 | "What is your research question? Include the specific question you're setting out to answer. This question should be specific, answerable with data, and clear. A general question with specific subquestions is permitted. (1-2 sentences)\n", 49 | "\n", 50 | "***Does early exposure to alcohol consumption of alcoholic beverages have a direct impact on children’s mental health and academic performance? How does this impact on the children’s family, friends, and supporters of their journey in life?***" 51 | ] 52 | }, 53 | { 54 | "cell_type": "markdown", 55 | "metadata": {}, 56 | "source": [ 57 | "## Background and Prior Work" 58 | ] 59 | }, 60 | { 61 | "cell_type": "markdown", 62 | "metadata": {}, 63 | "source": [ 64 | "\n", 65 | "- Include a general introduction to your topic\n", 66 | "- Include explanation of what work has been done previously\n", 67 | "- Include citations or links to previous work\n", 68 | "\n", 69 | "This section will present the background and context of your topic and question in a few paragraphs. Include a general introduction to your topic and then describe what information you currently know about the topic after doing your initial research. Include references to other projects who have asked similar questions or approached similar problems. Explain what others have learned in their projects.\n", 70 | "\n", 71 | "Find some relevant prior work, and reference those sources, summarizing what each did and what they learned. Even if you think you have a totally novel question, find the most similar prior work that you can and discuss how it relates to your project.\n", 72 | "\n", 73 | "References can be research publications, but they need not be. Blogs, GitHub repositories, company websites, etc., are all viable references if they are relevant to your project. It must be clear which information comes from which references. (2-3 paragraphs, including at least 2 references)\n", 74 | "\n", 75 | " **Use inline citation through HTML footnotes to specify which references support which statements** \n", 76 | "\n", 77 | "For example: After government genocide in the 20th century, real birds were replaced with surveillance drones designed to look just like birds.[1](#cite_note-1) Use a minimum of 2 or 3 citations, but we prefer more.[2](#cite_note-2) You need enough to fully explain and back up important facts. \n", 78 | "\n", 79 | "Note that if you click a footnote number in the paragraph above it will transport you to the proper entry in the footnotes list below. And if you click the ^ in the footnote entry, it will return you to the place in the main text where the footnote is made.\n", 80 | "\n", 81 | "To understand the HTML here, ` ` is a tag that allows you produce a named reference for a given location. Markdown has the construciton `[text with hyperlink](#named reference)` that will produce a clickable link that transports you the named reference.\n", 82 | "\n", 83 | "1. [^](#cite_ref-1) Lorenz, T. (9 Dec 2021) Birds Aren’t Real, or Are They? Inside a Gen Z Conspiracy Theory. *The New York Times*. https://www.nytimes.com/2021/12/09/technology/birds-arent-real-gen-z-misinformation.html \n", 84 | "2. [^](#cite_ref-2) Also refs should be important to the background, not some randomly chosen vaguely related stuff. Include a web link if possible in refs as above.\n" 85 | ] 86 | }, 87 | { 88 | "cell_type": "markdown", 89 | "metadata": {}, 90 | "source": [ 91 | "The interplay between alcohol consumption and academic performance is an area of significant concern for stakeholders across the educational landscape, including students, faculty, staff, and parents. At institutions like Kansas State University (K-State), the observed negative associations between alcohol use and academic outcomes—such as missing classes, lagging behind in coursework, underperforming on exams or papers, and overall lower grades—underscore the urgency of addressing this issue.[1](#cite_note-1) K-State's Academic Achievement Center and Lafene Health Center offer myriad services to support students struggling with academic challenges related to substance abuse and mental health, highlighting institutional efforts to combat the adverse effects of alcohol on student success.\n", 92 | "\n", 93 | "Further, the broader research community, as evidenced by findings shared through sources like orcd-library.org, acknowledges the multifaceted impact of alcohol consumption on educational outcomes.[2](#cite_note-2) Alcohol's influence extends through biological, behavioral, and emotional pathways, affecting cognitive functions, school attendance, and students' engagement with their academic work. Notably, heavy episodic drinking, prevalent among adolescents, correlates with a range of negative health and educational outcomes. The research underscores not only the direct effects of alcohol on neurodegeneration and cognitive impairment but also the broader behavioral and emotional ramifications that can detract from a student's academic commitment and performance.\n", 94 | "\n", 95 | "This complex relationship is further complicated by the bidirectional nature of alcohol use and academic outcomes, where poor performance may drive increased alcohol consumption as a coping mechanism. Confounding factors such as family income, parental education, self-esteem, and motivation also play critical roles in shaping this dynamic. The dataset from the survey of students in math and Portuguese language courses at the secondary school level, encompassing a wide array of variables including alcohol consumption (Dalc and Walc), study habits (studytime), and academic performance (G1, G2, and G3 grades), presents an invaluable resource for delving into these interactions. By examining the specific impacts of alcohol consumption within this rich dataset, this study aims to contribute nuanced insights into the strategies and interventions that can support student success in the face of these challenges.\n", 96 | "\n", 97 | "References:\n", 98 | "\n", 99 | "1. [^](#cite_ref-1) K-State Lafene Health Center. Kansas State University. https://www.k-state.edu/lafene/services/prevention/alcohol-education/reality-of-drinking/academics.html#:~:text=Alcohol%20consumption%20has%20been%20negatively,to%20student%20attrition%20from%20college.\n", 100 | "2. [^](#cite_ref-2) OECD (2019), The relationship between alcohol consumption and educational outcomes in children, OECD iLibrary, https://www.oecd-ilibrary.org/sites/8f9105c7-en/index.html?itemId=/content/component/8f9105c7-en\n", 101 | "3. [Link for dataset](https://www.kaggle.com/datasets/uciml/student-alcohol-consumption?resource=download)" 102 | ] 103 | }, 104 | { 105 | "cell_type": "markdown", 106 | "metadata": {}, 107 | "source": [ 108 | "# Hypothesis\n" 109 | ] 110 | }, 111 | { 112 | "cell_type": "markdown", 113 | "metadata": {}, 114 | "source": [ 115 | "- Include your team's hypothesis\n", 116 | "- Ensure that this hypothesis is clear to readers\n", 117 | "- Explain why you think this will be the outcome (what was your thinking?)\n", 118 | "\n", 119 | "What is your main hypothesis/predictions about what the answer to your question is? Briefly explain your thinking. (2-3 sentences)\n", 120 | "\n", 121 | "**Hypothesis:** Higher levels of alcohol consumption among secondary school students (measured by Dalc for weekdays and Walc for weekends) are anticipated to be negatively correlated with their academic performance, particularly in math and Portuguese language courses, as reflected in their grades (G1, G2, and G3). This hypothesis is predicated on the premise that alcohol consumption impairs cognitive functions and academic engagement, leading to lower academic achievements. Also, we anticipate that the negative impact of alcohol consumption on academic performance will related to the student's family, friends, and supporters of their journey in life.\n", 122 | "\n", 123 | "**Explanation:** This hypothesis is rooted in the broader literature, which has documented the adverse effects of alcohol on cognitive capabilities, memory formation, and educational engagement. Given that alcohol consumption can disrupt sleep patterns, affect concentration, and lead to increased absenteeism, it logically follows that students engaging in higher levels of alcohol consumption would exhibit poorer academic performance. By analyzing the relationship between alcohol consumption rates and academic outcomes, we aim to clarify how these behaviors impact student success, controlling for potential confounding factors to ensure a robust examination of this relationship." 124 | ] 125 | }, 126 | { 127 | "cell_type": "markdown", 128 | "metadata": {}, 129 | "source": [ 130 | "# Data" 131 | ] 132 | }, 133 | { 134 | "cell_type": "markdown", 135 | "metadata": {}, 136 | "source": [ 137 | "## Data overview\n", 138 | "\n", 139 | "For each dataset include the following information\n", 140 | "- Dataset #1\n", 141 | " - Dataset Name: Student Alcohol Consumption - Math and Portuguese Language Courses\n", 142 | " - Link to the dataset: https://www.kaggle.com/datasets/uciml/student-alcohol-consumption?resource=download\n", 143 | " - Number of observations: 395 (Math course), 649 (Portuguese language course)\n", 144 | " - Number of variables: 33\n", 145 | "Now write 2 - 5 sentences describing each dataset here. Include a short description of the important variables in the dataset; what the metrics and datatypes are, what concepts they may be proxies for. Include information about how you would need to wrangle/clean/preprocess the dataset\n", 146 | "\n", 147 | "If you plan to use multiple datasets, add a few sentences about how you plan to combine these datasets." 148 | ] 149 | }, 150 | { 151 | "cell_type": "markdown", 152 | "metadata": {}, 153 | "source": [ 154 | "**Description**: The data were obtained in a survey of students' math and Portuguese language courses in secondary school. It contains information on student alcohol consumption, which is our main area of interest as well as some student success metrics like grades, past failures, and attendance. Additionally it contains potentially correlating information like information related to parents status such as job, education level. The dataset is rich in variables, including binary, categorical, and ordinal data, and presents a valuable resource for examining the relationship between alcohol consumption and academic outcomes. The dataset will require cleaning and preprocessing to handle missing values, standardize categorical variables, and potentially create new features to capture the complex interplay between alcohol consumption and academic performance." 155 | ] 156 | }, 157 | { 158 | "cell_type": "markdown", 159 | "metadata": {}, 160 | "source": [ 161 | "### DATA CLEANING: Get each of your datasets into a usable (likely, tidy) format. Briefly explain what steps you had to take before you were able to use the datasets you chose to answer your question of interest.\n", 162 | "#### How 'clean' is the data?\n", 163 | "We drop the null data appearing in each column and replace the possible null value in ‘absences’ column with the mean value.\n", 164 | "#### What did you have to do to get the data into a usable format? (If you did nothing, how did you determine there was nothing to do?)\n", 165 | "We discussed columns to remove from the data that we do not need\n", 166 | "We renamed some columns to make them clear to readers such as Mjob to Mother’s job\n", 167 | "#### What pre-processing steps that were required for your methods (for example, checking data distributions and performing any transformations that may be required)\n", 168 | "We will plot the distribution \n", 169 | "\n", 170 | "For the research question concerning the impact of early exposure to alcohol consumption on children's mental health and academic performance, as well as its effects on their family, friends, and supporters, the following features from the dataset could be particularly relevant:\n", 171 | "\n", 172 | "1. Alcohol Consumption (`Dalc` and `Walc`): Measures of daily and weekend alcohol consumption to quantify the level of alcohol exposure.\n", 173 | "2. Academic Performance (`G1`, `G2`, `G3`): Grades across three periods to assess academic outcomes.\n", 174 | "3. Mental Health (`health`): A proxy for mental health status, indicating how health issues might correlate with alcohol consumption and academic performance.\n", 175 | "4. Family Relationships (`famrel`): Quality of family relationships, which could be affected by or have an effect on alcohol consumption patterns.\n", 176 | "5. Free Time and Going Out (`freetime`, `goout`): Indicators of social behavior, potentially reflecting the influence of or on peer groups.\n", 177 | "6. Study Time (`studytime`): Amount of time dedicated to studying, which could be impacted by alcohol consumption.\n", 178 | "7. Absences (`absences`): School absenteeism, which might be related to both academic performance and alcohol consumption.\n", 179 | "\n", 180 | "In this project, we aim to investigate the direct impact of early exposure to alcohol on children's mental health and academic achievements, alongside its broader implications on their interpersonal relationships and support networks. By analyzing alcohol consumption levels (`Dalc` and `Walc`), we can quantify the extent of exposure and correlate it with mental health status (`health`), academic performance (`G1`, `G2`, `G3`), and school attendance (`absences`). The quality of family relationships (`famrel`) will help us understand the familial context of these students, potentially highlighting how alcohol impacts or is impacted by family dynamics. Additionally, assessing students' free time and social activities (`freetime`, `goout`) will provide insights into the role of peer influence. Finally, study habits (`studytime`) will offer a lens through which to view the balance between academic pursuits and extracurricular influences, including alcohol consumption. Together, these features will allow for a comprehensive analysis of the multifaceted impacts of early alcohol exposure on children's lives and their circles of support.\n" 181 | ] 182 | }, 183 | { 184 | "cell_type": "markdown", 185 | "metadata": {}, 186 | "source": [ 187 | "## Dataset #1 (use name instead of number here)" 188 | ] 189 | }, 190 | { 191 | "cell_type": "code", 192 | "execution_count": null, 193 | "metadata": {}, 194 | "outputs": [], 195 | "source": [ 196 | "## YOUR CODE TO LOAD/CLEAN/TIDY/WRANGLE THE DATA GOES HERE\n", 197 | "## FEEL FREE TO ADD MULTIPLE CELLS PER SECTION\n", 198 | "import numpy as np\n", 199 | "import pandas as pd\n", 200 | "import matplotlib.pyplot as plt\n", 201 | "import seaborn as sns\n", 202 | "from sklearn import datasets\n", 203 | "from sklearn.model_selection import train_test_split\n", 204 | "from sklearn.linear_model import LinearRegression\n", 205 | "from sklearn.metrics import mean_squared_error\n", 206 | "import requests\n", 207 | "import json\n", 208 | "import io\n", 209 | "\n", 210 | "math_df = pd.read_csv('student-mat.csv')\n", 211 | "por_df = pd.read_csv('student-por.csv')" 212 | ] 213 | }, 214 | { 215 | "cell_type": "markdown", 216 | "metadata": {}, 217 | "source": [ 218 | "## Feature Name Explanation (as in original dataset):\n", 219 | "1. school - student's school (binary: 'GP' - Gabriel Pereira or 'MS' - Mousinho da Silveira)\n", 220 | "2. sex - student's sex (binary: 'F' - female or 'M' - male)\n", 221 | "3. age - student's age (numeric: from 15 to 22)\n", 222 | "4. address - student's home address type (binary: 'U' - urban or 'R' - rural)\n", 223 | "5. famsize - family size (binary: 'LE3' - less or equal to 3 or 'GT3' - greater than 3)\n", 224 | "6. Pstatus - parent's cohabitation status (binary: 'T' - living together or 'A' - apart)\n", 225 | "7. Medu - mother's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)\n", 226 | "8. Fedu - father's education (numeric: 0 - none, 1 - primary education (4th grade), 2 – 5th to 9th grade, 3 – secondary education or 4 – higher education)\n", 227 | "9. Mjob - mother's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n", 228 | "10. Fjob - father's job (nominal: 'teacher', 'health' care related, civil 'services' (e.g. administrative or police), 'at_home' or 'other')\n", 229 | "11. reason - reason to choose this school (nominal: close to 'home', school 'reputation', 'course' preference or 'other')\n", 230 | "12. guardian - student's guardian (nominal: 'mother', 'father' or 'other')\n", 231 | "13. traveltime - home to school travel time (numeric: 1 - <15 min., 2 - 15 to 30 min., 3 - 30 min. to 1 hour, or 4 - >1 hour)\n", 232 | "14. studytime - weekly study time (numeric: 1 - <2 hours, 2 - 2 to 5 hours, 3 - 5 to 10 hours, or 4 - >10 hours)\n", 233 | "15. failures - number of past class failures (numeric: n if 1<=n<3, else 4)\n", 234 | "16. schoolsup - extra educational support (binary: yes or no)\n", 235 | "17. famsup - family educational support (binary: yes or no)\n", 236 | "18. paid - extra paid classes within the course subject (Math or Portuguese)\n", 237 | "(binary: yes or no)\n", 238 | "19. activities - extracurricular activities (binary: yes or no)\n", 239 | "20. nursery - attended nursery school (binary: yes or no)\n", 240 | "21. higher - wants to take higher education (binary: yes or no) \n", 241 | "22. internet - Internet access at home (binary: yes or no)\n", 242 | "23. romantic - with a romantic relationship (binary: yes or no) *\n", 243 | "24. famrel - quality of family relationships (numeric: from 1 - very bad to 5 - excellent)\n", 244 | "25. freetime - free time after school (numeric: from 1 - very low to 5 - very high)\n", 245 | "26. goout - going out with friends (numeric: from 1 - very low to 5 - very high)* \n", 246 | "27. Dalc - workday alcohol consumption (numeric: from 1 - very low to 5 - very high)\n", 247 | "28. Walc - weekend alcohol consumption (numeric: from 1 - very low to 5 - very high)\n", 248 | "29. health - current health status (numeric: from 1 - very bad to 5 - very good)\n", 249 | "30. absences - number of school absences (numeric: from 0 to 93)\n", 250 | "\n", 251 | "These grades are related with the course subject, Math or Portuguese:\n", 252 | "\n", 253 | "31. G1 - first period grade (numeric: from 0 to 20)\n", 254 | "32. G2 - second period grade (numeric: from 0 to 20)\n", 255 | "33. G3 - final grade (numeric: from 0 to 20, output target)\n", 256 | "\n", 257 | "\n", 258 | "Additional note: there are several (382) students that belong to both datasets .\n", 259 | "\n", 260 | "#### CHANGES:\n", 261 | "- Pstatus to parent_status\n", 262 | "- Medu to mother_edu\n", 263 | "- Fedu to father_edu\n", 264 | "- Mjob to mother_job\n", 265 | "- Fjob to father_job\n", 266 | "- Standardize the “parent_status” into “apart” and “together”\n", 267 | "- Standardize the “address” into “urban” and “rural”\n", 268 | "- Standardize the \"school” into “Gabriel Pereira” and “Mousinho da Silveira\"\n", 269 | "\n", 270 | "We first attempted to size down our data set in order to make it more manageable to work with. We chose a few columns that we felt had less relevance to our research question. However as we have yet to fully finalize our approach for this research topic, we attempted to be as conservative as possible while removing columns. We found that the data is already relatively clean, and we were able to think of use cases for all of the categories. Most of the information was either quantitative or binary, so we didn’t really feel a need to cut down the data set at this point. \n", 271 | "Then we started off by changing the titles of our columns to be more descriptive. The original titles were vague and might be difficult to understand, especially to someone not familiar with the data set already. \n", 272 | "After this we standardized some of the variable values to make them easier to understand. \n", 273 | "\n", 274 | "\n", 275 | "These students can be identified by searching for identical attributes that characterize each student, as shown in the annexed R file.\n" 276 | ] 277 | }, 278 | { 279 | "cell_type": "markdown", 280 | "metadata": {}, 281 | "source": [ 282 | "# Ethics & Privacy" 283 | ] 284 | }, 285 | { 286 | "cell_type": "markdown", 287 | "metadata": {}, 288 | "source": [ 289 | "- Thoughtful discussion of ethical concerns included\n", 290 | "- Ethical concerns consider the whole data science process (question asked, data collected, data being used, the bias in data, analysis, post-analysis, etc.)\n", 291 | "- How your group handled bias/ethical concerns clearly described\n", 292 | "\n", 293 | "Acknowledge and address any ethics & privacy related issues of your question(s), proposed dataset(s), and/or analyses. Use the information provided in lecture to guide your group discussion and thinking. If you need further guidance, check out [Deon's Ethics Checklist](http://deon.drivendata.org/#data-science-ethics-checklist). In particular:\n", 294 | "\n", 295 | "- Are there any biases/privacy/terms of use issues with the data you propsed?\n", 296 | "- Are there potential biases in your dataset(s), in terms of who it composes, and how it was collected, that may be problematic in terms of it allowing for equitable analysis? (For example, does your data exclude particular populations, or is it likely to reflect particular human biases in a way that could be a problem?)\n", 297 | "- How will you set out to detect these specific biases before, during, and after/when communicating your analysis?\n", 298 | "- Are there any other issues related to your topic area, data, and/or analyses that are potentially problematic in terms of data privacy and equitable impact?\n", 299 | "- How will you handle issues you identified?" 300 | ] 301 | }, 302 | { 303 | "cell_type": "markdown", 304 | "metadata": {}, 305 | "source": [ 306 | "**Ethics & Privacy Issues:**\n", 307 | "\n", 308 | "Our research into the relationship between alcohol consumption and academic performance in secondary students raises several ethical and privacy concerns, primarily related to the sensitivity of the data involved and the potential for bias in our analysis. \n", 309 | "\n", 310 | "1. **Data Sensitivity and Privacy:** The dataset contains sensitive information regarding students' alcohol consumption habits, academic performance, and personal demographics. There is a potential risk of identifying individual students, especially in smaller subsets of data. To mitigate this risk, we will ensure all data used is anonymized, with no direct or indirect identifiers present in our dataset.\n", 311 | "\n", 312 | "2. **Bias in Data Collection:** Our dataset might not equally represent all student populations, potentially excluding or under-representing certain groups based on geography, socio-economic status, or other factors. This could introduce biases that skew our analysis and conclusions. To address this concern, we will critically assess the dataset's composition and collection methods, seeking to understand and acknowledge any limitations in our analysis. Where possible, we will use statistical techniques to adjust for known biases.\n", 313 | "\n", 314 | "3. **Detecting and Handling Biases:** To detect biases in our dataset, we will perform exploratory data analysis (EDA) to identify any disproportionate representation of groups. During analysis, we will be mindful of how these biases could influence our findings and will use statistical methods to minimize their impact. After analysis, we will transparently communicate any biases or limitations identified in our study, ensuring that our findings are interpreted within the appropriate context.\n", 315 | "\n", 316 | "4. **Equitable Analysis and Impact:** There is a risk that our analysis could inadvertently stigmatize students who consume alcohol or those from specific demographics. To prevent this, we will approach our analysis with sensitivity, focusing on the broader systemic factors that contribute to our findings rather than attributing behaviors or outcomes to individual moral failings. We will also consider the potential impact of our findings on policy and practice, advocating for interventions that are supportive and non-punitive.\n", 317 | "\n", 318 | "5. **Handling Identified Issues:** Any issues related to data privacy or bias identified during our research will be addressed through modifications to our analysis plan and by applying appropriate statistical adjustments. We commit to conducting our research ethically, prioritizing the privacy and dignity of the students represented in the dataset, and being transparent about our methodology and findings. Also, if we find any issues above our handle, we will report them to the course staff and seek guidance on how to proceed." 319 | ] 320 | }, 321 | { 322 | "cell_type": "markdown", 323 | "metadata": {}, 324 | "source": [ 325 | "# Team Expectations " 326 | ] 327 | }, 328 | { 329 | "cell_type": "markdown", 330 | "metadata": {}, 331 | "source": [ 332 | "\n", 333 | "Read over the [COGS108 Team Policies](https://github.com/COGS108/Projects/blob/master/COGS108_TeamPolicies.md) individually. Then, include your group’s expectations of one another for successful completion of your COGS108 project below. Discuss and agree on what all of your expectations are. Discuss how your team will communicate throughout the quarter and consider how you will communicate respectfully should conflicts arise. By including each member’s name above and by adding their name to the submission, you are indicating that you have read the COGS108 Team Policies, accept your team’s expectations below, and have every intention to fulfill them. These expectations are for your team’s use and benefit — they won’t be graded for their details.\n", 334 | "\n", 335 | "* *Team Expectation 1*\n", 336 | "* *Team Expectation 2*\n", 337 | "* *Team Expecation 3*\n", 338 | "* ..." 339 | ] 340 | }, 341 | { 342 | "cell_type": "markdown", 343 | "metadata": {}, 344 | "source": [ 345 | "*Note: This may be different depending on what the assignment is. If we are working on the final project, the meeting may be more like catching up on the part that other people in the group are working on.*\n", 346 | "\n", 347 | "**Communication** \n", 348 | "- My team will meet via Zoom or Discord, whichever is convenient for everyone in the group. \n", 349 | "\n", 350 | "**Meeting**\n", 351 | "- We will try to have at least 1-2 meetings per week. The first meeting will be a discussion about what we need to do for the entire week. Then, we will wrap up the assignment in the second meeting.\n", 352 | "- The meeting time will be flexible based on the time available to people provided on When2Meet. \n", 353 | "\n", 354 | "**Expectation**\n", 355 | "- The research question is as stated in this proposal, and we expect to have a fit dataset to work on towards the end of the quarter.\n", 356 | "- As a group project, we will all divide the work equally so that everyone can have a chance to work.\n", 357 | "- If anyone has any issues while working on the project, that person needs to let other people know within a proper amount of time. \n", 358 | "- Weekly meeting notes with quick summary/ plan of action for the next week for each person. Check the meeting notes if you miss a meeting, and ask questions if you have them.\n", 359 | "- The team should take notes during each meeting regarding the project progress and discussions to ensures that everyone can catch up on any information they may have missed." 360 | ] 361 | }, 362 | { 363 | "cell_type": "markdown", 364 | "metadata": {}, 365 | "source": [ 366 | "# Project Timeline Proposal" 367 | ] 368 | }, 369 | { 370 | "cell_type": "markdown", 371 | "metadata": {}, 372 | "source": [ 373 | "Specify your team's specific project timeline. An example timeline has been provided. Changes the dates, times, names, and details to fit your group's plan.\n", 374 | "\n", 375 | "If you think you will need any special resources or training outside what we have covered in COGS 108 to solve your problem, then your proposal should state these clearly. For example, if you have selected a problem that involves implementing multiple neural networks, please state this so we can make sure you know what you’re doing and so we can point you to resources you will need to implement your project. Note that you are not required to use outside methods.\n", 376 | "\n", 377 | "| Meeting Date | Meeting Time| Completed Before Meeting | Discuss at Meeting |\n", 378 | "|---|---|---|---|\n", 379 | "| 2/25 | 12 PM | Search for datasets that are corrected with our project or any resource you might find to be useful | Discuss Wrangling and possible analytical approaches; Assign group members to lead each specific part | \n", 380 | "| 2/25 | 6 PM | Start to wrangle the data and start to look at the data to see if there are any issues | Discuss/Edit wrangling/EDA; Discuss Analysis Plan |\n", 381 | "| 2/28 | 5 PM | Import & Wrangle Data; EDA | Review/Edit wrangling/EDA; Discuss Analysis Plan |\n", 382 | "| 3/4 | 5 PM | Finalize wrangling/ EDA; Being Analysis | Discuss/edit Analysis; Complete project check-in |\n", 383 | "| 3/11 | 5 PM | Continue Data Analyst; start on our results/conclusion/ discussion | continue to discuss our project and try to connect our data analyst towards the story we are trying to tell |\n", 384 | "| 3/14 | 5 PM | Complete the analysis; Continue on our results/conclusion/discussion | Discuss/edit the full project |\n", 385 | "| 3/18 | Before 11:59 PM | Any corrections that might be to be fixed | Turn in Final Project & Group Project Survey |" 386 | ] 387 | } 388 | ], 389 | "metadata": { 390 | "kernelspec": { 391 | "display_name": "Python 3 (ipykernel)", 392 | "language": "python", 393 | "name": "python3" 394 | }, 395 | "language_info": { 396 | "codemirror_mode": { 397 | "name": "ipython", 398 | "version": 3 399 | }, 400 | "file_extension": ".py", 401 | "mimetype": "text/x-python", 402 | "name": "python", 403 | "nbconvert_exporter": "python", 404 | "pygments_lexer": "ipython3", 405 | "version": "3.9.7" 406 | } 407 | }, 408 | "nbformat": 4, 409 | "nbformat_minor": 2 410 | } 411 | -------------------------------------------------------------------------------- /student-mat.csv: -------------------------------------------------------------------------------- 1 | school,sex,age,address,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,reason,guardian,traveltime,studytime,failures,schoolsup,famsup,paid,activities,nursery,higher,internet,romantic,famrel,freetime,goout,Dalc,Walc,health,absences,G1,G2,G3 2 | GP,F,18,U,GT3,A,4,4,at_home,teacher,course,mother,2,2,0,yes,no,no,no,yes,yes,no,no,4,3,4,1,1,3,6,5,6,6 3 | GP,F,17,U,GT3,T,1,1,at_home,other,course,father,1,2,0,no,yes,no,no,no,yes,yes,no,5,3,3,1,1,3,4,5,5,6 4 | GP,F,15,U,LE3,T,1,1,at_home,other,other,mother,1,2,3,yes,no,yes,no,yes,yes,yes,no,4,3,2,2,3,3,10,7,8,10 5 | GP,F,15,U,GT3,T,4,2,health,services,home,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,3,2,2,1,1,5,2,15,14,15 6 | GP,F,16,U,GT3,T,3,3,other,other,home,father,1,2,0,no,yes,yes,no,yes,yes,no,no,4,3,2,1,2,5,4,6,10,10 7 | GP,M,16,U,LE3,T,4,3,services,other,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,2,1,2,5,10,15,15,15 8 | GP,M,16,U,LE3,T,2,2,other,other,home,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,4,1,1,3,0,12,12,11 9 | GP,F,17,U,GT3,A,4,4,other,teacher,home,mother,2,2,0,yes,yes,no,no,yes,yes,no,no,4,1,4,1,1,1,6,6,5,6 10 | GP,M,15,U,LE3,A,3,2,services,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,1,1,0,16,18,19 11 | GP,M,15,U,GT3,T,3,4,other,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,5,1,1,1,5,0,14,15,15 12 | GP,F,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,1,2,2,0,10,8,9 13 | GP,F,15,U,GT3,T,2,1,services,other,reputation,father,3,3,0,no,yes,no,yes,yes,yes,yes,no,5,2,2,1,1,4,4,10,12,12 14 | GP,M,15,U,LE3,T,4,4,health,services,course,father,1,1,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,3,5,2,14,14,14 15 | GP,M,15,U,GT3,T,4,3,teacher,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,5,4,3,1,2,3,2,10,10,11 16 | GP,M,15,U,GT3,A,2,2,other,other,home,other,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,5,2,1,1,3,0,14,16,16 17 | GP,F,16,U,GT3,T,4,4,health,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,4,4,4,1,2,2,4,14,14,14 18 | GP,F,16,U,GT3,T,4,4,services,services,reputation,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,3,2,3,1,2,2,6,13,14,14 19 | GP,F,16,U,GT3,T,3,3,other,other,reputation,mother,3,2,0,yes,yes,no,yes,yes,yes,no,no,5,3,2,1,1,4,4,8,10,10 20 | GP,M,17,U,GT3,T,3,2,services,services,course,mother,1,1,3,no,yes,no,yes,yes,yes,yes,no,5,5,5,2,4,5,16,6,5,5 21 | GP,M,16,U,LE3,T,4,3,health,other,home,father,1,1,0,no,no,yes,yes,yes,yes,yes,no,3,1,3,1,3,5,4,8,10,10 22 | GP,M,15,U,GT3,T,4,3,teacher,other,reputation,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,1,1,1,1,0,13,14,15 23 | GP,M,15,U,GT3,T,4,4,health,health,other,father,1,1,0,no,yes,yes,no,yes,yes,yes,no,5,4,2,1,1,5,0,12,15,15 24 | GP,M,16,U,LE3,T,4,2,teacher,other,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,4,5,1,1,3,5,2,15,15,16 25 | GP,M,16,U,LE3,T,2,2,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,2,4,5,0,13,13,12 26 | GP,F,15,R,GT3,T,2,4,services,health,course,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,5,2,10,9,8 27 | GP,F,16,U,GT3,T,2,2,services,services,home,mother,1,1,2,no,yes,yes,no,no,yes,yes,no,1,2,2,1,3,5,14,6,9,8 28 | GP,M,15,U,GT3,T,2,2,other,other,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,2,5,2,12,12,11 29 | GP,M,15,U,GT3,T,4,2,health,services,other,mother,1,1,0,no,no,yes,no,yes,yes,yes,no,2,2,4,2,4,1,4,15,16,15 30 | GP,M,16,U,LE3,A,3,4,services,other,home,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,4,11,11,11 31 | GP,M,16,U,GT3,T,4,4,teacher,teacher,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,5,5,5,5,16,10,12,11 32 | GP,M,15,U,GT3,T,4,4,health,services,home,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,5,4,2,3,4,5,0,9,11,12 33 | GP,M,15,U,GT3,T,4,4,services,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,1,1,1,5,0,17,16,17 34 | GP,M,15,R,GT3,T,4,3,teacher,at_home,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,5,2,1,1,5,0,17,16,16 35 | GP,M,15,U,LE3,T,3,3,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,2,1,1,2,0,8,10,12 36 | GP,M,16,U,GT3,T,3,2,other,other,home,mother,1,1,0,no,yes,yes,no,no,yes,yes,no,5,4,3,1,1,5,0,12,14,15 37 | GP,F,15,U,GT3,T,2,3,other,other,other,father,2,1,0,no,yes,no,yes,yes,yes,no,no,3,5,1,1,1,5,0,8,7,6 38 | GP,M,15,U,LE3,T,4,3,teacher,services,home,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,1,4,2,15,16,18 39 | GP,M,16,R,GT3,A,4,4,other,teacher,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,yes,2,4,3,1,1,5,7,15,16,15 40 | GP,F,15,R,GT3,T,3,4,services,health,course,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,5,2,12,12,11 41 | GP,F,15,R,GT3,T,2,2,at_home,other,reputation,mother,1,1,0,yes,yes,yes,yes,yes,yes,no,no,4,3,1,1,1,2,8,14,13,13 42 | GP,F,16,U,LE3,T,2,2,other,other,home,mother,2,2,1,no,yes,no,yes,no,yes,yes,yes,3,3,3,1,2,3,25,7,10,11 43 | GP,M,15,U,LE3,T,4,4,teacher,other,home,other,1,1,0,no,yes,no,no,no,yes,yes,yes,5,4,3,2,4,5,8,12,12,12 44 | GP,M,15,U,GT3,T,4,4,services,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,1,5,2,19,18,18 45 | GP,M,15,U,GT3,T,2,2,services,services,course,father,1,1,0,yes,yes,no,no,yes,yes,yes,no,5,4,1,1,1,1,0,8,8,11 46 | GP,F,16,U,LE3,T,2,2,other,at_home,course,father,2,2,1,yes,no,no,yes,yes,yes,yes,no,4,3,3,2,2,5,14,10,10,9 47 | GP,F,15,U,LE3,A,4,3,other,other,course,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,yes,5,2,2,1,1,5,8,8,8,6 48 | GP,F,16,U,LE3,A,3,3,other,services,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,3,5,1,4,3,12,11,12,11 49 | GP,M,16,U,GT3,T,4,3,health,services,reputation,mother,1,4,0,no,no,no,yes,yes,yes,yes,no,4,2,2,1,1,2,4,19,19,20 50 | GP,M,15,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,no,no,4,3,3,2,2,5,2,15,15,14 51 | GP,F,15,U,GT3,T,4,4,services,teacher,other,father,1,2,1,yes,yes,no,yes,no,yes,yes,no,4,4,4,1,1,3,2,7,7,7 52 | GP,F,16,U,LE3,T,2,2,services,services,course,mother,3,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,2,3,4,2,12,13,13 53 | GP,F,15,U,LE3,T,4,2,health,other,other,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,5,2,11,13,13 54 | GP,M,15,U,LE3,A,4,2,health,health,other,father,2,1,1,no,no,no,no,yes,yes,no,no,5,5,5,3,4,5,6,11,11,10 55 | GP,F,15,U,GT3,T,4,4,services,services,course,mother,1,1,0,yes,yes,yes,no,yes,yes,yes,no,3,3,4,2,3,5,0,8,10,11 56 | GP,F,15,U,LE3,A,3,3,other,other,other,mother,1,1,0,no,no,yes,no,yes,yes,yes,no,5,3,4,4,4,1,6,10,13,13 57 | GP,F,16,U,GT3,A,2,1,other,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,5,3,4,1,1,2,8,8,9,10 58 | GP,F,15,U,GT3,A,4,3,services,services,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,2,1,1,1,0,14,15,15 59 | GP,M,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,3,2,2,1,1,5,4,14,15,15 60 | GP,M,15,U,LE3,T,1,2,other,at_home,home,father,1,2,0,yes,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,5,2,9,10,9 61 | GP,F,16,U,GT3,T,4,2,services,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,2,3,1,1,5,2,15,16,16 62 | GP,F,16,R,GT3,T,4,4,health,teacher,other,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,2,4,4,2,3,4,6,10,11,11 63 | GP,F,16,U,GT3,T,1,1,services,services,course,father,4,1,0,yes,yes,no,yes,no,yes,yes,yes,5,5,5,5,5,5,6,10,8,11 64 | GP,F,16,U,LE3,T,1,2,other,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,no,4,4,3,1,1,1,4,8,10,9 65 | GP,F,16,U,GT3,T,4,3,teacher,health,home,mother,1,3,0,yes,yes,yes,yes,yes,yes,yes,no,3,4,4,2,4,4,2,10,9,9 66 | GP,F,15,U,LE3,T,4,3,services,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,yes,4,4,4,2,4,2,0,10,10,10 67 | GP,F,16,U,LE3,T,4,3,teacher,services,course,mother,3,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,2,1,2,16,15,15 68 | GP,M,15,U,GT3,A,4,4,other,services,reputation,mother,1,4,0,no,yes,no,yes,no,yes,yes,yes,1,3,3,5,5,3,4,13,13,12 69 | GP,F,16,U,GT3,T,3,1,services,other,course,mother,1,4,0,yes,yes,yes,no,yes,yes,yes,no,4,3,3,1,2,5,4,7,7,6 70 | GP,F,15,R,LE3,T,2,2,health,services,reputation,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,no,4,1,3,1,3,4,2,8,9,8 71 | GP,F,15,R,LE3,T,3,1,other,other,reputation,father,2,4,0,no,yes,no,no,no,yes,yes,no,4,4,2,2,3,3,12,16,16,16 72 | GP,M,16,U,GT3,T,3,1,other,other,reputation,father,2,4,0,no,yes,yes,no,yes,yes,yes,no,4,3,2,1,1,5,0,13,15,15 73 | GP,M,15,U,GT3,T,4,2,other,other,course,mother,1,4,0,no,no,no,no,yes,yes,yes,no,3,3,3,1,1,3,0,10,10,10 74 | GP,F,15,R,GT3,T,1,1,other,other,reputation,mother,1,2,2,yes,yes,no,no,no,yes,yes,yes,3,3,4,2,4,5,2,8,6,5 75 | GP,M,16,U,GT3,T,3,1,other,other,reputation,mother,1,1,0,no,no,no,yes,yes,yes,no,no,5,3,2,2,2,5,2,12,12,14 76 | GP,F,16,U,GT3,T,3,3,other,services,home,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,no,4,3,3,2,4,5,54,11,12,11 77 | GP,M,15,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,2,3,5,6,9,9,10 78 | GP,M,15,U,GT3,T,4,0,teacher,other,course,mother,2,4,0,no,no,no,yes,yes,yes,yes,no,3,4,3,1,1,1,8,11,11,10 79 | GP,F,16,U,GT3,T,2,2,other,other,reputation,mother,1,4,0,no,no,yes,no,yes,yes,yes,yes,5,2,3,1,3,3,0,11,11,11 80 | GP,M,17,U,GT3,T,2,1,other,other,home,mother,2,1,3,yes,yes,no,yes,yes,no,yes,no,4,5,1,1,1,3,2,8,8,10 81 | GP,F,16,U,GT3,T,3,4,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,4,3,1,2,3,12,5,5,5 82 | GP,M,15,U,GT3,T,2,3,other,services,course,father,1,1,0,yes,yes,yes,yes,no,yes,yes,yes,3,2,2,1,3,3,2,10,12,12 83 | GP,M,15,U,GT3,T,2,3,other,other,home,mother,1,3,0,yes,no,yes,no,no,yes,yes,no,5,3,2,1,2,5,4,11,10,11 84 | GP,F,15,U,LE3,T,3,2,services,other,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,4,1,1,5,10,7,6,6 85 | GP,M,15,U,LE3,T,2,2,services,services,home,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,5,3,3,1,3,4,4,15,15,15 86 | GP,F,15,U,GT3,T,1,1,other,other,home,father,1,2,0,no,yes,no,yes,no,yes,yes,no,4,3,2,2,3,4,2,9,10,10 87 | GP,F,15,U,GT3,T,4,4,services,services,reputation,father,2,2,2,no,no,yes,no,yes,yes,yes,yes,4,4,4,2,3,5,6,7,9,8 88 | GP,F,16,U,LE3,T,2,2,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,4,1,2,2,4,8,7,6 89 | GP,F,15,U,GT3,T,4,2,other,other,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,3,1,4,13,14,14 90 | GP,M,16,U,GT3,T,2,2,services,other,reputation,father,2,2,1,no,no,yes,yes,no,yes,yes,no,4,4,2,1,1,3,12,11,10,10 91 | GP,M,16,U,LE3,A,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,1,3,3,5,5,18,8,6,7 92 | GP,F,16,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,yes,yes,no,yes,yes,yes,yes,4,3,3,1,3,4,0,7,7,8 93 | GP,F,15,U,GT3,T,4,3,services,other,reputation,mother,1,1,0,no,no,yes,yes,yes,yes,yes,no,4,5,5,1,3,1,4,16,17,18 94 | GP,F,16,U,LE3,T,3,1,other,other,home,father,1,2,0,yes,yes,no,no,yes,yes,no,no,3,3,3,2,3,2,4,7,6,6 95 | GP,F,16,U,GT3,T,4,2,teacher,services,home,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,5,3,3,1,1,1,0,11,10,10 96 | GP,M,15,U,LE3,T,2,2,services,health,reputation,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,3,4,1,1,4,6,11,13,14 97 | GP,F,15,R,GT3,T,1,1,at_home,other,home,mother,2,4,1,yes,yes,yes,yes,yes,yes,yes,no,3,1,2,1,1,1,2,7,10,10 98 | GP,M,16,R,GT3,T,4,3,services,other,reputation,mother,2,1,0,yes,yes,no,yes,no,yes,yes,no,3,3,3,1,1,4,2,11,15,15 99 | GP,F,16,U,GT3,T,2,1,other,other,course,mother,1,2,0,no,yes,yes,no,yes,yes,no,yes,4,3,5,1,1,5,2,8,9,10 100 | GP,F,16,U,GT3,T,4,4,other,other,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,2,1,6,11,14,14 101 | GP,F,16,U,GT3,T,4,3,other,at_home,course,mother,1,3,0,yes,yes,yes,no,yes,yes,yes,no,5,3,5,1,1,3,0,7,9,8 102 | GP,M,16,U,GT3,T,4,4,services,services,other,mother,1,1,0,yes,yes,yes,yes,yes,yes,yes,no,4,5,5,5,5,4,14,7,7,5 103 | GP,M,16,U,GT3,T,4,4,services,teacher,other,father,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,4,3,1,1,4,0,16,17,17 104 | GP,M,15,U,GT3,T,4,4,services,other,course,mother,1,1,0,no,yes,no,yes,no,yes,yes,no,5,3,3,1,1,5,4,10,13,14 105 | GP,F,15,U,GT3,T,3,2,services,other,home,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,no,4,3,5,1,1,2,26,7,6,6 106 | GP,M,15,U,GT3,A,3,4,services,other,course,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,4,1,1,1,0,16,18,18 107 | GP,F,15,U,GT3,A,3,3,other,health,reputation,father,1,4,0,yes,no,no,no,yes,yes,no,no,4,3,3,1,1,4,10,10,11,11 108 | GP,F,15,U,GT3,T,2,2,other,other,course,mother,1,4,0,yes,yes,yes,no,yes,yes,yes,no,5,1,2,1,1,3,8,7,8,8 109 | GP,M,16,U,GT3,T,3,3,services,other,home,father,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,2,16,18,18 110 | GP,M,15,R,GT3,T,4,4,other,other,home,father,4,4,0,no,yes,yes,yes,yes,yes,yes,yes,1,3,5,3,5,1,6,10,13,13 111 | GP,F,16,U,LE3,T,4,4,health,health,other,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,5,4,5,1,1,4,4,14,15,16 112 | GP,M,15,U,LE3,A,4,4,teacher,teacher,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,5,3,1,1,4,6,18,19,19 113 | GP,F,16,R,GT3,T,3,3,services,other,reputation,father,1,3,1,yes,yes,no,yes,yes,yes,yes,no,4,1,2,1,1,2,0,7,10,10 114 | GP,F,16,U,GT3,T,2,2,at_home,other,home,mother,1,2,1,yes,no,no,yes,yes,yes,yes,no,3,1,2,1,1,5,6,10,13,13 115 | GP,M,15,U,LE3,T,4,2,teacher,other,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,5,2,1,1,3,10,18,19,19 116 | GP,M,15,R,GT3,T,2,1,health,services,reputation,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,4,2,1,1,5,8,9,9,9 117 | GP,M,16,U,GT3,T,4,4,teacher,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,1,2,5,2,15,15,16 118 | GP,M,15,U,GT3,T,4,4,other,teacher,reputation,father,2,2,0,no,yes,no,yes,yes,yes,no,no,4,4,3,1,1,2,2,11,13,14 119 | GP,M,16,U,GT3,T,3,3,other,services,home,father,2,1,0,no,no,no,yes,yes,yes,yes,no,5,4,2,1,1,5,0,13,14,13 120 | GP,M,17,R,GT3,T,1,3,other,other,course,father,3,2,1,no,yes,no,yes,yes,yes,yes,no,5,2,4,1,4,5,20,9,7,8 121 | GP,M,15,U,GT3,T,3,4,other,other,reputation,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,3,1,2,4,6,14,13,13 122 | GP,F,15,U,GT3,T,1,2,at_home,services,course,mother,1,2,0,no,no,no,no,no,yes,yes,no,3,2,3,1,2,1,2,16,15,15 123 | GP,M,15,U,GT3,T,2,2,services,services,home,father,1,4,0,no,yes,yes,yes,yes,yes,yes,no,5,5,4,1,2,5,6,16,14,15 124 | GP,F,16,U,LE3,T,2,4,other,health,course,father,2,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,2,2,1,2,5,2,13,13,13 125 | GP,M,16,U,GT3,T,4,4,health,other,course,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,3,4,4,1,4,5,18,14,11,13 126 | GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,no,yes,no,yes,yes,yes,yes,5,4,4,1,1,5,0,8,7,8 127 | GP,M,15,U,GT3,T,3,4,services,services,home,father,1,1,0,yes,no,no,no,yes,yes,yes,no,5,5,5,3,2,5,0,13,13,12 128 | GP,F,15,U,LE3,A,3,4,other,other,home,mother,1,2,0,yes,no,no,yes,yes,yes,yes,yes,5,3,2,1,1,1,0,7,10,11 129 | GP,F,19,U,GT3,T,0,1,at_home,other,course,other,1,2,3,no,yes,no,no,no,no,no,no,3,4,2,1,1,5,2,7,8,9 130 | GP,M,18,R,GT3,T,2,2,services,other,reputation,mother,1,1,2,no,yes,no,yes,yes,yes,yes,no,3,3,3,1,2,4,0,7,4,0 131 | GP,M,16,R,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,no,yes,yes,yes,yes,yes,no,3,5,5,2,5,4,8,18,18,18 132 | GP,F,15,R,GT3,T,3,4,services,teacher,course,father,2,3,2,no,yes,no,no,yes,yes,yes,yes,4,2,2,2,2,5,0,12,0,0 133 | GP,F,15,U,GT3,T,1,1,at_home,other,course,mother,3,1,0,no,yes,no,yes,no,yes,yes,yes,4,3,3,1,2,4,0,8,0,0 134 | GP,F,17,U,LE3,T,2,2,other,other,course,father,1,1,0,no,yes,no,no,yes,yes,yes,yes,3,4,4,1,3,5,12,10,13,12 135 | GP,F,16,U,GT3,A,3,4,services,other,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,2,1,1,4,5,16,12,11,11 136 | GP,M,15,R,GT3,T,3,4,at_home,teacher,course,mother,4,2,0,no,yes,no,no,yes,yes,no,yes,5,3,3,1,1,5,0,9,0,0 137 | GP,F,15,U,GT3,T,4,4,services,at_home,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,1,1,5,0,11,0,0 138 | GP,M,17,R,GT3,T,3,4,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,no,5,4,5,2,4,5,0,10,0,0 139 | GP,F,16,U,GT3,A,3,3,other,other,course,other,2,1,2,no,yes,no,yes,no,yes,yes,yes,4,3,2,1,1,5,0,4,0,0 140 | GP,M,16,U,LE3,T,1,1,services,other,course,mother,1,2,1,no,no,no,no,yes,yes,no,yes,4,4,4,1,3,5,0,14,12,12 141 | GP,F,15,U,GT3,T,4,4,teacher,teacher,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,4,3,2,1,1,5,0,16,16,15 142 | GP,M,15,U,GT3,T,4,3,teacher,services,course,father,2,4,0,yes,yes,no,no,yes,yes,yes,no,2,2,2,1,1,3,0,7,9,0 143 | GP,M,16,U,LE3,T,2,2,services,services,reputation,father,2,1,2,no,yes,no,yes,yes,yes,yes,no,2,3,3,2,2,2,8,9,9,9 144 | GP,F,15,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,4,2,2,1,1,5,2,9,11,11 145 | GP,F,16,U,LE3,T,1,1,at_home,at_home,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,4,3,3,1,2,14,14,13 146 | GP,M,17,U,GT3,T,2,1,other,other,home,mother,1,1,3,no,yes,no,no,yes,yes,yes,no,5,4,5,1,2,5,0,5,0,0 147 | GP,F,15,U,GT3,T,1,1,other,services,course,father,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,2,1,2,5,0,8,11,11 148 | GP,F,15,U,GT3,T,3,2,health,services,home,father,1,2,3,no,yes,no,no,yes,yes,yes,no,3,3,2,1,1,3,0,6,7,0 149 | GP,F,15,U,GT3,T,1,2,at_home,other,course,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,4,3,2,1,1,5,2,10,11,11 150 | GP,M,16,U,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,yes,no,no,yes,no,yes,yes,3,3,2,2,1,5,0,7,6,0 151 | GP,M,15,U,LE3,A,2,1,services,other,course,mother,4,1,3,no,no,no,no,yes,yes,yes,no,4,5,5,2,5,5,0,8,9,10 152 | GP,M,18,U,LE3,T,1,1,other,other,course,mother,1,1,3,no,no,no,no,yes,no,yes,yes,2,3,5,2,5,4,0,6,5,0 153 | GP,M,16,U,LE3,T,2,1,at_home,other,course,mother,1,1,1,no,no,no,yes,yes,yes,no,yes,4,4,4,3,5,5,6,12,13,14 154 | GP,F,15,R,GT3,T,3,3,services,services,reputation,other,2,3,2,no,yes,yes,yes,yes,yes,yes,yes,4,2,1,2,3,3,8,10,10,10 155 | GP,M,19,U,GT3,T,3,2,services,at_home,home,mother,1,1,3,no,yes,no,no,yes,no,yes,yes,4,5,4,1,1,4,0,5,0,0 156 | GP,F,17,U,GT3,T,4,4,other,teacher,course,mother,1,1,0,yes,yes,no,no,yes,yes,no,yes,4,2,1,1,1,4,0,11,11,12 157 | GP,M,15,R,GT3,T,2,3,at_home,services,course,mother,1,2,0,yes,no,yes,yes,yes,yes,no,no,4,4,4,1,1,1,2,11,8,8 158 | GP,M,17,R,LE3,T,1,2,other,other,reputation,mother,1,1,0,no,no,no,no,yes,yes,no,no,2,2,2,3,3,5,8,16,12,13 159 | GP,F,18,R,GT3,T,1,1,at_home,other,course,mother,3,1,3,no,yes,no,yes,no,yes,no,no,5,2,5,1,5,4,6,9,8,10 160 | GP,M,16,R,GT3,T,2,2,at_home,other,course,mother,3,1,0,no,no,no,no,no,yes,no,no,4,2,2,1,2,3,2,17,15,15 161 | GP,M,16,U,GT3,T,3,3,other,services,course,father,1,2,1,no,yes,yes,no,yes,yes,yes,yes,4,5,5,4,4,5,4,10,12,12 162 | GP,M,17,R,LE3,T,2,1,at_home,other,course,mother,2,1,2,no,no,no,yes,yes,no,yes,yes,3,3,2,2,2,5,0,7,6,0 163 | GP,M,15,R,GT3,T,3,2,other,other,course,mother,2,2,2,yes,yes,no,no,yes,yes,yes,yes,4,4,4,1,4,3,6,5,9,7 164 | GP,M,16,U,LE3,T,1,2,other,other,course,mother,2,1,1,no,no,no,yes,yes,yes,no,no,4,4,4,2,4,5,0,7,0,0 165 | GP,M,17,U,GT3,T,1,3,at_home,services,course,father,1,1,0,no,no,no,no,yes,no,yes,no,5,3,3,1,4,2,2,10,10,10 166 | GP,M,17,R,LE3,T,1,1,other,services,course,mother,4,2,3,no,no,no,yes,yes,no,no,yes,5,3,5,1,5,5,0,5,8,7 167 | GP,M,16,U,GT3,T,3,2,services,services,course,mother,2,1,1,no,yes,no,yes,no,no,no,no,4,5,2,1,1,2,16,12,11,12 168 | GP,M,16,U,GT3,T,2,2,other,other,course,father,1,2,0,no,no,no,no,yes,no,yes,no,4,3,5,2,4,4,4,10,10,10 169 | GP,F,16,U,GT3,T,4,2,health,services,home,father,1,2,0,no,no,yes,no,yes,yes,yes,yes,4,2,3,1,1,3,0,14,15,16 170 | GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,5,1,5,1,1,4,0,6,7,0 171 | GP,F,16,U,GT3,T,4,4,health,health,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,4,4,2,1,1,3,0,14,14,14 172 | GP,M,16,U,GT3,T,3,4,other,other,course,father,3,1,2,no,yes,no,yes,no,yes,yes,no,3,4,5,2,4,2,0,6,5,0 173 | GP,M,16,U,GT3,T,1,0,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,2,1,1,3,2,13,15,16 174 | GP,M,17,U,LE3,T,4,4,teacher,other,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,4,4,1,3,5,0,13,11,10 175 | GP,F,16,U,GT3,T,1,3,at_home,services,home,mother,1,2,3,no,no,no,yes,no,yes,yes,yes,4,3,5,1,1,3,0,8,7,0 176 | GP,F,16,U,LE3,T,3,3,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,4,5,1,1,4,4,10,11,9 177 | GP,M,17,U,LE3,T,4,3,teacher,other,course,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,4,4,4,4,4,4,4,10,9,9 178 | GP,F,16,U,GT3,T,2,2,services,other,reputation,mother,2,2,0,no,no,yes,yes,no,yes,yes,no,3,4,4,1,4,5,2,13,13,11 179 | GP,M,17,U,GT3,T,3,3,other,other,reputation,father,1,2,0,no,no,no,yes,no,yes,yes,no,4,3,4,1,4,4,4,6,5,6 180 | GP,M,16,R,GT3,T,4,2,teacher,services,other,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,3,4,3,10,10,8,9 181 | GP,M,17,U,GT3,T,4,3,other,other,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,2,3,1,1,2,4,10,10,11 182 | GP,M,16,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,3,4,3,2,3,3,10,9,8,8 183 | GP,M,16,U,GT3,T,3,3,services,other,home,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,4,2,3,1,2,3,2,12,13,12 184 | GP,F,17,U,GT3,T,2,4,services,services,reputation,father,1,2,0,no,yes,no,yes,yes,yes,no,no,5,4,2,2,3,5,0,16,17,17 185 | GP,F,17,U,LE3,T,3,3,other,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,3,3,2,3,1,56,9,9,8 186 | GP,F,16,U,GT3,T,3,2,other,other,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,1,2,2,1,2,1,14,12,13,12 187 | GP,M,17,U,GT3,T,3,3,services,services,other,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,4,2,3,4,12,12,12,11 188 | GP,M,16,U,GT3,T,1,2,services,services,other,mother,1,1,0,no,yes,yes,yes,yes,yes,yes,yes,3,3,3,1,2,3,2,11,12,11 189 | GP,M,16,U,LE3,T,2,1,other,other,course,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,4,2,3,1,2,5,0,15,15,15 190 | GP,F,17,U,GT3,A,3,3,health,other,reputation,mother,1,2,0,no,yes,no,no,no,yes,yes,yes,3,3,3,1,3,3,6,8,7,9 191 | GP,M,17,R,GT3,T,1,2,at_home,other,home,mother,1,2,0,no,no,no,no,yes,yes,no,no,3,1,3,1,5,3,4,8,9,10 192 | GP,F,16,U,GT3,T,2,3,services,services,course,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,2,10,11,12,13 193 | GP,F,17,U,GT3,T,1,1,at_home,services,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,3,1,1,3,0,8,8,9 194 | GP,M,17,U,GT3,T,1,2,at_home,services,other,other,2,2,0,no,no,yes,yes,no,yes,yes,no,4,4,4,4,5,5,12,7,8,8 195 | GP,M,16,R,GT3,T,3,3,services,services,reputation,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,4,3,2,3,4,5,8,8,9,10 196 | GP,M,16,U,GT3,T,2,3,other,other,home,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,3,3,1,1,3,0,13,14,14 197 | GP,F,17,U,LE3,T,2,4,services,services,course,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,2,1,1,5,0,14,15,15 198 | GP,M,17,U,GT3,T,4,4,services,teacher,home,mother,1,1,0,no,no,no,no,yes,yes,yes,no,5,2,3,1,2,5,4,17,15,16 199 | GP,M,16,R,LE3,T,3,3,teacher,other,home,father,3,1,0,no,yes,yes,yes,yes,yes,yes,no,3,3,4,3,5,3,8,9,9,10 200 | GP,F,17,U,GT3,T,4,4,services,teacher,home,mother,2,1,1,no,yes,no,no,yes,yes,yes,no,4,2,4,2,3,2,24,18,18,18 201 | GP,F,16,U,LE3,T,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,5,2,1,2,3,0,9,9,10 202 | GP,F,16,U,GT3,T,4,3,health,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,5,1,5,2,2,16,16,16 203 | GP,F,16,U,GT3,T,2,3,other,other,reputation,mother,1,2,0,yes,yes,yes,yes,yes,yes,no,no,4,4,3,1,3,4,6,8,10,10 204 | GP,F,17,U,GT3,T,1,1,other,other,course,mother,1,2,0,no,yes,yes,no,no,yes,no,no,4,4,4,1,3,1,4,9,9,10 205 | GP,F,17,R,GT3,T,2,2,other,other,reputation,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,5,3,2,1,2,3,18,7,6,6 206 | GP,F,16,R,GT3,T,2,2,services,services,reputation,mother,2,4,0,no,yes,yes,yes,no,yes,yes,no,5,3,5,1,1,5,6,10,10,11 207 | GP,F,17,U,GT3,T,3,4,at_home,services,home,mother,1,3,1,no,yes,yes,no,yes,yes,yes,yes,4,4,3,3,4,5,28,10,9,9 208 | GP,F,16,U,GT3,A,3,1,services,other,course,mother,1,2,3,no,yes,yes,no,yes,yes,yes,no,2,3,3,2,2,4,5,7,7,7 209 | GP,F,16,U,GT3,T,4,3,teacher,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,1,3,2,1,1,1,10,11,12,13 210 | GP,F,16,U,GT3,T,1,1,at_home,other,home,mother,2,1,0,no,yes,yes,no,yes,yes,no,no,4,3,2,1,4,5,6,9,9,10 211 | GP,F,17,R,GT3,T,4,3,teacher,other,reputation,mother,2,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,2,1,1,4,6,7,7,7 212 | GP,F,19,U,GT3,T,3,3,other,other,reputation,other,1,4,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,2,3,10,8,8,8 213 | GP,M,17,U,LE3,T,4,4,services,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,5,3,5,4,5,3,13,12,12,13 214 | GP,F,16,U,GT3,A,2,2,other,other,reputation,mother,1,2,0,yes,yes,yes,no,yes,yes,yes,no,3,3,4,1,1,4,0,12,13,14 215 | GP,M,18,U,GT3,T,2,2,services,other,home,mother,1,2,1,no,yes,yes,yes,yes,yes,yes,no,4,4,4,2,4,5,15,6,7,8 216 | GP,F,17,R,LE3,T,4,4,services,other,other,mother,1,1,0,no,yes,yes,no,yes,yes,no,no,5,2,1,1,2,3,12,8,10,10 217 | GP,F,17,U,LE3,T,3,2,other,other,reputation,mother,2,2,0,no,no,yes,no,yes,yes,yes,no,4,4,4,1,3,1,2,14,15,15 218 | GP,F,17,U,GT3,T,4,3,other,other,reputation,mother,1,2,2,no,no,yes,no,yes,yes,yes,yes,3,4,5,2,4,1,22,6,6,4 219 | GP,M,18,U,LE3,T,3,3,services,health,home,father,1,2,1,no,yes,yes,no,yes,yes,yes,no,3,2,4,2,4,4,13,6,6,8 220 | GP,F,17,U,GT3,T,2,3,at_home,other,home,father,2,1,0,no,yes,yes,no,yes,yes,no,no,3,3,3,1,4,3,3,7,7,8 221 | GP,F,17,U,GT3,T,2,2,at_home,at_home,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,1,4,4,9,10,10 222 | GP,F,17,R,GT3,T,2,1,at_home,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,5,1,2,5,2,6,6,6 223 | GP,F,17,U,GT3,T,1,1,at_home,other,reputation,mother,1,3,1,no,yes,no,yes,yes,yes,no,yes,4,3,4,1,1,5,0,6,5,0 224 | GP,F,16,U,GT3,T,2,3,services,teacher,other,mother,1,2,0,yes,no,no,no,yes,yes,yes,no,2,3,1,1,1,3,2,16,16,17 225 | GP,M,18,U,GT3,T,2,2,other,other,home,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,5,5,4,0,12,13,13 226 | GP,F,16,U,GT3,T,4,4,teacher,services,home,mother,1,3,0,no,yes,no,yes,no,yes,yes,no,5,3,2,1,1,5,0,13,13,14 227 | GP,F,18,R,GT3,T,3,1,other,other,reputation,mother,1,2,1,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,1,4,16,9,8,7 228 | GP,F,17,U,GT3,T,3,2,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,3,3,10,16,15,15 229 | GP,M,17,U,LE3,T,2,3,services,services,reputation,father,1,2,0,no,yes,yes,no,no,yes,yes,no,5,3,3,1,3,3,2,12,11,12 230 | GP,M,18,U,LE3,T,2,1,at_home,other,course,mother,4,2,0,yes,yes,yes,yes,yes,yes,yes,yes,4,3,2,4,5,3,14,10,8,9 231 | GP,F,17,U,GT3,A,2,1,other,other,course,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,10,12,10,12 232 | GP,F,17,U,LE3,T,4,3,health,other,reputation,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,14,13,13,14 233 | GP,M,17,R,GT3,T,2,2,other,other,course,father,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,5,2,1,1,1,4,11,11,11 234 | GP,M,17,U,GT3,T,4,4,teacher,teacher,reputation,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,yes,4,5,5,1,3,2,14,11,9,9 235 | GP,M,16,U,GT3,T,4,4,health,other,reputation,father,1,2,0,no,yes,yes,yes,yes,yes,yes,no,4,2,4,2,4,1,2,14,13,13 236 | GP,M,16,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,4,2,1,1,5,18,9,7,6 237 | GP,M,16,U,GT3,T,3,2,at_home,other,reputation,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,3,2,10,11,9,10 238 | GP,M,17,U,LE3,T,2,2,other,other,home,father,1,2,0,no,no,yes,yes,no,yes,yes,yes,4,4,2,5,5,4,4,14,13,13 239 | GP,F,16,U,GT3,T,2,1,other,other,home,mother,1,1,0,no,no,no,no,yes,yes,yes,yes,4,5,2,1,1,5,20,13,12,12 240 | GP,F,17,R,GT3,T,2,1,at_home,services,course,mother,3,2,0,no,no,no,yes,yes,yes,no,no,2,1,1,1,1,3,2,13,11,11 241 | GP,M,18,U,GT3,T,2,2,other,services,reputation,father,1,2,1,no,no,no,no,yes,no,yes,no,5,5,4,3,5,2,0,7,7,0 242 | GP,M,17,U,LE3,T,4,3,health,other,course,mother,2,2,0,no,no,no,yes,yes,yes,yes,yes,2,5,5,1,4,5,14,12,12,12 243 | GP,M,17,R,LE3,A,4,4,teacher,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,3,3,3,2,3,4,2,10,11,12 244 | GP,M,16,U,LE3,T,4,3,teacher,other,course,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,4,5,1,1,3,0,6,0,0 245 | GP,M,16,U,GT3,T,4,4,services,services,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,3,2,1,2,5,0,13,12,12 246 | GP,F,18,U,GT3,T,2,1,other,other,course,other,2,3,0,no,yes,yes,no,no,yes,yes,yes,4,4,4,1,1,3,0,7,0,0 247 | GP,M,16,U,GT3,T,2,1,other,other,course,mother,3,1,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,4,6,18,18,18 248 | GP,M,17,U,GT3,T,2,3,other,other,course,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,2,2,1,1,2,4,12,12,13 249 | GP,M,22,U,GT3,T,3,1,services,services,other,mother,1,1,3,no,no,no,no,no,no,yes,yes,5,4,5,5,5,1,16,6,8,8 250 | GP,M,18,R,LE3,T,3,3,other,services,course,mother,1,2,1,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,3,5,8,3,5,5 251 | GP,M,16,U,GT3,T,0,2,other,other,other,mother,1,1,0,no,no,yes,no,no,yes,yes,no,4,3,2,2,4,5,0,13,15,15 252 | GP,M,18,U,GT3,T,3,2,services,other,course,mother,2,1,1,no,no,no,no,yes,no,yes,no,4,4,5,2,4,5,0,6,8,8 253 | GP,M,16,U,GT3,T,3,3,at_home,other,reputation,other,3,2,0,yes,yes,no,no,no,yes,yes,no,5,3,3,1,3,2,6,7,10,10 254 | GP,M,18,U,GT3,T,2,1,services,services,other,mother,1,1,1,no,no,no,no,no,no,yes,no,3,2,5,2,5,5,4,6,9,8 255 | GP,M,16,R,GT3,T,2,1,other,other,course,mother,2,1,0,no,no,no,yes,no,yes,no,no,3,3,2,1,3,3,0,8,9,8 256 | GP,M,17,R,GT3,T,2,1,other,other,course,mother,1,1,0,no,no,no,no,no,yes,yes,no,4,4,2,2,4,5,0,8,12,12 257 | GP,M,17,U,LE3,T,1,1,health,other,course,mother,2,1,1,no,yes,no,yes,yes,yes,yes,no,4,4,4,1,2,5,2,7,9,8 258 | GP,F,17,U,LE3,T,4,2,teacher,services,reputation,mother,1,4,0,no,yes,yes,yes,yes,yes,yes,no,4,2,3,1,1,4,6,14,12,13 259 | GP,M,19,U,LE3,A,4,3,services,at_home,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,1,1,1,1,12,11,11,11 260 | GP,M,18,U,GT3,T,2,1,other,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,2,4,1,2,4,8,15,14,14 261 | GP,F,17,U,LE3,T,2,2,services,services,course,father,1,4,0,no,no,yes,yes,yes,yes,yes,yes,3,4,1,1,1,2,0,10,9,0 262 | GP,F,18,U,GT3,T,4,3,services,other,home,father,1,2,0,no,yes,yes,no,yes,yes,yes,yes,3,1,2,1,3,2,21,17,18,18 263 | GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,4,3,2,1,1,3,2,8,8,8 264 | GP,M,18,R,GT3,T,3,2,other,other,course,mother,1,3,0,no,no,no,yes,no,yes,no,no,5,3,2,1,1,3,1,13,12,12 265 | GP,F,17,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,no,no,yes,no,yes,no,no,3,2,3,1,1,4,4,10,9,9 266 | GP,F,18,U,GT3,T,2,2,at_home,services,home,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,3,1,1,3,0,9,10,0 267 | GP,M,18,R,LE3,A,3,4,other,other,reputation,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,2,5,3,4,1,13,17,17,17 268 | GP,M,17,U,GT3,T,3,1,services,other,other,mother,1,2,0,no,no,yes,yes,yes,yes,yes,yes,5,4,4,3,4,5,2,9,9,10 269 | GP,F,18,R,GT3,T,4,4,teacher,other,reputation,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,4,3,4,2,2,4,8,12,10,11 270 | GP,M,18,U,GT3,T,4,2,health,other,reputation,father,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,5,4,5,1,3,5,10,10,9,10 271 | GP,F,18,R,GT3,T,2,1,other,other,reputation,mother,2,2,0,no,yes,no,no,yes,no,yes,yes,4,3,5,1,2,3,0,6,0,0 272 | GP,F,19,U,GT3,T,3,3,other,services,home,other,1,2,2,no,yes,yes,yes,yes,yes,yes,no,4,3,5,3,3,5,15,9,9,9 273 | GP,F,18,U,GT3,T,2,3,other,services,reputation,father,1,4,0,no,yes,yes,yes,yes,yes,yes,yes,4,5,5,1,3,2,4,15,14,14 274 | GP,F,18,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,yes,no,no,yes,no,no,4,4,3,1,1,3,2,11,11,11 275 | GP,M,17,R,GT3,T,1,2,at_home,at_home,home,mother,1,2,0,no,yes,yes,yes,no,yes,no,yes,3,5,2,2,2,1,2,15,14,14 276 | GP,F,17,U,GT3,T,2,4,at_home,health,reputation,mother,2,2,0,no,yes,yes,no,yes,yes,yes,yes,4,3,3,1,1,1,2,10,10,10 277 | GP,F,17,U,LE3,T,2,2,services,other,course,mother,2,2,0,yes,yes,yes,no,yes,yes,yes,yes,4,4,4,2,3,5,6,12,12,12 278 | GP,F,18,R,GT3,A,3,2,other,services,home,mother,2,2,0,no,no,no,no,no,no,yes,yes,4,1,1,1,1,5,75,10,9,9 279 | GP,M,18,U,GT3,T,4,4,teacher,services,home,mother,2,1,0,no,no,yes,yes,yes,yes,yes,no,3,2,4,1,4,3,22,9,9,9 280 | GP,F,18,U,GT3,T,4,4,health,health,reputation,father,1,2,1,yes,yes,no,yes,yes,yes,yes,yes,2,4,4,1,1,4,15,9,8,8 281 | GP,M,18,U,LE3,T,4,3,teacher,services,course,mother,2,1,0,no,no,yes,yes,yes,yes,yes,no,4,2,3,1,2,1,8,10,11,10 282 | GP,M,17,U,LE3,A,4,1,services,other,home,mother,2,1,0,no,no,yes,yes,yes,yes,yes,yes,4,5,4,2,4,5,30,8,8,8 283 | GP,M,17,U,LE3,A,3,2,teacher,services,home,mother,1,1,1,no,no,no,no,yes,yes,yes,no,4,4,4,3,4,3,19,11,9,10 284 | GP,F,18,R,LE3,T,1,1,at_home,other,reputation,mother,2,4,0,no,yes,yes,yes,yes,yes,no,no,5,2,2,1,1,3,1,12,12,12 285 | GP,F,18,U,GT3,T,1,1,other,other,home,mother,2,2,0,yes,no,no,yes,yes,yes,yes,no,5,4,4,1,1,4,4,8,9,10 286 | GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,no,5,4,5,1,2,5,4,10,9,11 287 | GP,M,17,U,GT3,T,1,1,other,other,reputation,father,1,2,0,no,no,yes,no,no,yes,yes,no,4,3,3,1,2,4,2,12,10,11 288 | GP,F,18,U,GT3,T,2,2,at_home,at_home,other,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,2,2,5,18,18,19 289 | GP,F,17,U,GT3,T,1,1,services,teacher,reputation,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,6,13,12,12 290 | GP,M,18,U,GT3,T,2,1,services,services,reputation,mother,1,3,0,no,no,yes,yes,yes,yes,yes,no,4,2,4,1,3,2,6,15,14,14 291 | GP,M,18,U,LE3,A,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,5,4,3,1,1,2,9,15,13,15 292 | GP,M,18,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,2,1,4,5,11,12,11,11 293 | GP,F,17,U,GT3,T,4,3,health,services,reputation,mother,1,3,0,no,yes,yes,no,yes,yes,yes,no,4,2,2,1,2,3,0,15,15,15 294 | GP,F,18,U,LE3,T,2,1,services,at_home,reputation,mother,1,2,1,no,no,no,no,yes,yes,yes,yes,5,4,3,1,1,5,12,12,12,13 295 | GP,F,17,R,LE3,T,3,1,services,other,reputation,mother,2,4,0,no,yes,yes,no,yes,yes,no,no,3,1,2,1,1,3,6,18,18,18 296 | GP,M,18,R,LE3,T,3,2,services,other,reputation,mother,2,3,0,no,yes,yes,yes,yes,yes,yes,no,5,4,2,1,1,4,8,14,13,14 297 | GP,M,17,U,GT3,T,3,3,health,other,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,no,4,4,3,1,3,5,4,14,12,11 298 | GP,F,19,U,GT3,T,4,4,health,other,reputation,other,2,2,0,no,yes,yes,yes,yes,yes,yes,no,2,3,4,2,3,2,0,10,9,0 299 | GP,F,18,U,LE3,T,4,3,other,other,home,other,2,2,0,no,yes,yes,no,yes,yes,yes,yes,4,4,5,1,2,2,10,10,8,8 300 | GP,F,18,U,GT3,T,4,3,other,other,reputation,father,1,4,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,0,14,13,14 301 | GP,M,18,U,LE3,T,4,4,teacher,teacher,home,mother,1,1,0,no,yes,yes,no,yes,yes,yes,yes,1,4,2,2,2,1,5,16,15,16 302 | GP,F,18,U,LE3,A,4,4,health,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,2,4,1,1,4,14,12,10,11 303 | GP,M,17,U,LE3,T,4,4,other,teacher,home,father,2,1,0,no,no,yes,no,yes,yes,yes,no,4,1,1,2,2,5,0,11,11,10 304 | GP,F,17,U,GT3,T,4,2,other,other,reputation,mother,2,3,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,1,1,3,0,15,12,14 305 | GP,F,17,U,GT3,T,3,2,health,health,reputation,father,1,4,0,no,yes,yes,yes,no,yes,yes,no,5,2,2,1,2,5,0,17,17,18 306 | GP,M,19,U,GT3,T,3,3,other,other,home,other,1,2,1,no,yes,no,yes,yes,yes,yes,yes,4,4,4,1,1,3,20,15,14,13 307 | GP,F,18,U,GT3,T,2,4,services,at_home,reputation,other,1,2,1,no,yes,yes,yes,yes,yes,yes,no,4,4,3,1,1,3,8,14,12,12 308 | GP,M,20,U,GT3,A,3,2,services,other,course,other,1,1,0,no,no,no,yes,yes,yes,no,no,5,5,3,1,1,5,0,17,18,18 309 | GP,M,19,U,GT3,T,4,4,teacher,services,reputation,other,2,1,1,no,yes,yes,no,yes,yes,yes,yes,4,3,4,1,1,4,38,8,9,8 310 | GP,M,19,R,GT3,T,3,3,other,services,reputation,father,1,2,1,no,no,no,yes,yes,yes,no,yes,4,5,3,1,2,5,0,15,12,12 311 | GP,F,19,U,LE3,T,1,1,at_home,other,reputation,other,1,2,1,yes,yes,no,yes,no,yes,yes,no,4,4,3,1,3,3,18,12,10,10 312 | GP,F,19,U,LE3,T,1,2,services,services,home,other,1,2,1,no,no,no,yes,no,yes,no,yes,4,2,4,2,2,3,0,9,9,0 313 | GP,F,19,U,GT3,T,2,1,at_home,other,other,other,3,2,0,no,yes,no,no,yes,no,yes,yes,3,4,1,1,1,2,20,14,12,13 314 | GP,M,19,U,GT3,T,1,2,other,services,course,other,1,2,1,no,no,no,no,no,yes,yes,no,4,5,2,2,2,4,3,13,11,11 315 | GP,F,19,U,LE3,T,3,2,services,other,reputation,other,2,2,1,no,yes,yes,no,no,yes,yes,yes,4,2,2,1,2,1,22,13,10,11 316 | GP,F,19,U,GT3,T,1,1,at_home,health,home,other,1,3,2,no,no,no,no,no,yes,yes,yes,4,1,2,1,1,3,14,15,13,13 317 | GP,F,19,R,GT3,T,2,3,other,other,reputation,other,1,3,1,no,no,no,no,yes,yes,yes,yes,4,1,2,1,1,3,40,13,11,11 318 | GP,F,18,U,GT3,T,2,1,services,other,course,mother,2,2,0,no,yes,yes,yes,yes,yes,yes,no,5,3,3,1,2,1,0,8,8,0 319 | GP,F,18,U,GT3,T,4,3,other,other,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,3,4,1,1,5,9,9,10,9 320 | GP,F,17,R,GT3,T,3,4,at_home,services,course,father,1,3,0,no,yes,yes,yes,no,yes,yes,no,4,3,4,2,5,5,0,11,11,10 321 | GP,F,18,U,GT3,T,4,4,teacher,other,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,4,4,3,3,5,2,11,11,11 322 | GP,F,17,U,GT3,A,4,3,services,services,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,5,2,2,1,2,5,23,13,13,13 323 | GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,yes,4,2,2,1,1,3,12,11,9,9 324 | GP,F,17,R,LE3,T,2,2,services,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,3,3,2,2,2,3,3,11,11,11 325 | GP,F,17,U,GT3,T,3,1,services,services,course,father,1,3,0,no,yes,no,no,no,yes,yes,no,3,4,3,2,3,5,1,12,14,15 326 | GP,F,17,U,LE3,T,0,2,at_home,at_home,home,father,2,3,0,no,no,no,no,yes,yes,yes,no,3,3,3,2,3,2,0,16,15,15 327 | GP,M,18,U,GT3,T,4,4,other,other,course,mother,1,3,0,no,no,no,yes,yes,yes,yes,no,4,3,3,2,2,3,3,9,12,11 328 | GP,M,17,U,GT3,T,3,3,other,services,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,4,3,5,3,5,5,3,14,15,16 329 | GP,M,17,R,GT3,T,2,2,services,other,course,mother,4,1,0,no,yes,no,no,yes,yes,yes,no,4,4,5,5,5,4,8,11,10,10 330 | GP,F,17,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,no,5,4,4,1,3,4,7,10,9,9 331 | GP,F,17,U,GT3,T,4,4,teacher,teacher,course,mother,2,3,0,no,yes,yes,no,no,yes,yes,yes,4,3,3,1,2,4,4,14,14,14 332 | GP,M,18,U,LE3,T,2,2,other,other,course,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,5,5,2,4,5,2,9,8,8 333 | GP,F,17,R,GT3,T,2,4,at_home,other,course,father,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,4,3,1,1,5,7,12,14,14 334 | GP,F,18,U,GT3,T,3,3,services,services,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,4,1,1,4,0,7,0,0 335 | GP,F,18,U,LE3,T,2,2,other,other,home,other,1,2,0,no,no,no,yes,no,yes,yes,yes,4,3,3,1,1,2,0,8,8,0 336 | GP,F,18,R,GT3,T,2,2,at_home,other,course,mother,2,4,0,no,no,no,yes,yes,yes,no,no,4,4,4,1,1,4,0,10,9,0 337 | GP,F,17,U,GT3,T,3,4,services,other,course,mother,1,3,0,no,no,no,no,yes,yes,yes,no,4,4,5,1,3,5,16,16,15,15 338 | GP,F,19,R,GT3,A,3,1,services,at_home,home,other,1,3,1,no,no,yes,no,yes,yes,no,no,5,4,3,1,2,5,12,14,13,13 339 | GP,F,17,U,GT3,T,3,2,other,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,4,3,2,2,3,2,0,7,8,0 340 | GP,F,18,U,LE3,T,3,3,services,services,home,mother,1,4,0,no,yes,no,no,yes,yes,yes,no,5,3,3,1,1,1,7,16,15,17 341 | GP,F,17,R,GT3,A,3,2,other,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,3,2,3,2,4,9,10,10 342 | GP,F,19,U,GT3,T,2,1,services,services,home,other,1,3,1,no,no,yes,yes,yes,yes,yes,yes,4,3,4,1,3,3,4,11,12,11 343 | GP,M,18,U,GT3,T,4,4,teacher,services,home,father,1,2,1,no,yes,no,yes,yes,yes,yes,no,4,3,3,2,2,2,0,10,10,0 344 | GP,M,18,U,LE3,T,3,4,services,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,3,1,3,5,11,16,15,15 345 | GP,F,17,U,GT3,A,2,2,at_home,at_home,home,father,1,2,1,no,yes,no,no,yes,yes,yes,yes,3,3,1,1,2,4,0,9,8,0 346 | GP,F,18,U,GT3,T,2,3,at_home,other,course,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,2,3,4,11,10,10 347 | GP,F,18,U,GT3,T,3,2,other,services,other,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,4,3,2,3,1,7,13,13,14 348 | GP,M,18,R,GT3,T,4,3,teacher,services,course,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,3,2,1,2,4,9,16,15,16 349 | GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,3,0,no,yes,yes,no,yes,yes,yes,yes,5,4,5,2,3,5,0,10,10,9 350 | GP,F,17,U,GT3,T,4,3,health,other,reputation,mother,1,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,3,1,3,4,0,13,15,15 351 | MS,M,18,R,GT3,T,3,2,other,other,course,mother,2,1,1,no,yes,no,no,no,yes,yes,no,2,5,5,5,5,5,10,11,13,13 352 | MS,M,19,R,GT3,T,1,1,other,services,home,other,3,2,3,no,no,no,no,yes,yes,yes,no,5,4,4,3,3,2,8,8,7,8 353 | MS,M,17,U,GT3,T,3,3,health,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,yes,no,4,5,4,2,3,3,2,13,13,13 354 | MS,M,18,U,LE3,T,1,3,at_home,services,course,mother,1,1,1,no,no,no,no,yes,no,yes,yes,4,3,3,2,3,3,7,8,7,8 355 | MS,M,19,R,GT3,T,1,1,other,other,home,other,3,1,1,no,yes,no,no,yes,yes,yes,no,4,4,4,3,3,5,4,8,8,8 356 | MS,M,17,R,GT3,T,4,3,services,other,home,mother,2,2,0,no,yes,yes,yes,no,yes,yes,yes,4,5,5,1,3,2,4,13,11,11 357 | MS,F,18,U,GT3,T,3,3,services,services,course,father,1,2,0,no,yes,no,no,yes,yes,no,yes,5,3,4,1,1,5,0,10,9,9 358 | MS,F,17,R,GT3,T,4,4,teacher,services,other,father,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,2,5,4,12,13,13 359 | MS,F,17,U,LE3,A,3,2,services,other,reputation,mother,2,2,0,no,no,no,no,yes,yes,no,yes,1,2,3,1,2,5,2,12,12,11 360 | MS,M,18,U,LE3,T,1,1,other,services,home,father,2,1,0,no,no,no,no,no,yes,yes,yes,3,3,2,1,2,3,4,10,10,10 361 | MS,F,18,U,LE3,T,1,1,at_home,services,course,father,2,3,0,no,no,no,no,yes,yes,yes,no,5,3,2,1,1,4,0,18,16,16 362 | MS,F,18,R,LE3,A,1,4,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,yes,4,3,4,1,4,5,0,13,13,13 363 | MS,M,18,R,LE3,T,1,1,at_home,other,other,mother,2,2,1,no,no,no,yes,no,no,no,no,4,4,3,2,3,5,2,13,12,12 364 | MS,F,18,U,GT3,T,3,3,services,services,other,mother,2,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,2,1,3,3,0,11,11,10 365 | MS,F,17,U,LE3,T,4,4,at_home,at_home,course,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,2,3,4,1,1,1,0,16,15,15 366 | MS,F,17,R,GT3,T,1,2,other,services,course,father,2,2,0,no,no,no,no,no,yes,no,no,3,2,2,1,2,3,0,12,11,12 367 | MS,M,18,R,GT3,T,1,3,at_home,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,no,no,3,3,4,2,4,3,4,10,10,10 368 | MS,M,18,U,LE3,T,4,4,teacher,services,other,mother,2,3,0,no,no,yes,no,yes,yes,yes,yes,4,2,2,2,2,5,0,13,13,13 369 | MS,F,17,R,GT3,T,1,1,other,services,reputation,mother,3,1,1,no,yes,yes,no,yes,yes,yes,yes,5,2,1,1,2,1,0,7,6,0 370 | MS,F,18,U,GT3,T,2,3,at_home,services,course,father,2,1,0,no,yes,yes,no,yes,yes,yes,yes,5,2,3,1,2,4,0,11,10,10 371 | MS,F,18,R,GT3,T,4,4,other,teacher,other,father,3,2,0,no,yes,yes,no,no,yes,yes,yes,3,2,2,4,2,5,10,14,12,11 372 | MS,F,19,U,LE3,T,3,2,services,services,home,other,2,2,2,no,no,no,yes,yes,yes,no,yes,3,2,2,1,1,3,4,7,7,9 373 | MS,M,18,R,LE3,T,1,2,at_home,services,other,father,3,1,0,no,yes,yes,yes,yes,no,yes,yes,4,3,3,2,3,3,3,14,12,12 374 | MS,F,17,U,GT3,T,2,2,other,at_home,home,mother,1,3,0,no,no,no,yes,yes,yes,no,yes,3,4,3,1,1,3,8,13,11,11 375 | MS,F,17,R,GT3,T,1,2,other,other,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,3,5,5,1,3,1,14,6,5,5 376 | MS,F,18,R,LE3,T,4,4,other,other,reputation,mother,2,3,0,no,no,no,no,yes,yes,yes,no,5,4,4,1,1,1,0,19,18,19 377 | MS,F,18,R,GT3,T,1,1,other,other,home,mother,4,3,0,no,no,no,no,yes,yes,yes,no,4,3,2,1,2,4,2,8,8,10 378 | MS,F,20,U,GT3,T,4,2,health,other,course,other,2,3,2,no,yes,yes,no,no,yes,yes,yes,5,4,3,1,1,3,4,15,14,15 379 | MS,F,18,R,LE3,T,4,4,teacher,services,course,mother,1,2,0,no,no,yes,yes,yes,yes,yes,no,5,4,3,3,4,2,4,8,9,10 380 | MS,F,18,U,GT3,T,3,3,other,other,home,mother,1,2,0,no,no,yes,no,yes,yes,yes,yes,4,1,3,1,2,1,0,15,15,15 381 | MS,F,17,R,GT3,T,3,1,at_home,other,reputation,mother,1,2,0,no,yes,yes,yes,no,yes,yes,no,4,5,4,2,3,1,17,10,10,10 382 | MS,M,18,U,GT3,T,4,4,teacher,teacher,home,father,1,2,0,no,no,yes,yes,no,yes,yes,no,3,2,4,1,4,2,4,15,14,14 383 | MS,M,18,R,GT3,T,2,1,other,other,other,mother,2,1,0,no,no,no,yes,no,yes,yes,yes,4,4,3,1,3,5,5,7,6,7 384 | MS,M,17,U,GT3,T,2,3,other,services,home,father,2,2,0,no,no,no,yes,yes,yes,yes,no,4,4,3,1,1,3,2,11,11,10 385 | MS,M,19,R,GT3,T,1,1,other,services,other,mother,2,1,1,no,no,no,no,yes,yes,no,no,4,3,2,1,3,5,0,6,5,0 386 | MS,M,18,R,GT3,T,4,2,other,other,home,father,2,1,1,no,no,yes,no,yes,yes,no,no,5,4,3,4,3,3,14,6,5,5 387 | MS,F,18,R,GT3,T,2,2,at_home,other,other,mother,2,3,0,no,no,yes,no,yes,yes,no,no,5,3,3,1,3,4,2,10,9,10 388 | MS,F,18,R,GT3,T,4,4,teacher,at_home,reputation,mother,3,1,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,3,2,2,5,7,6,5,6 389 | MS,F,19,R,GT3,T,2,3,services,other,course,mother,1,3,1,no,no,no,yes,no,yes,yes,no,5,4,2,1,2,5,0,7,5,0 390 | MS,F,18,U,LE3,T,3,1,teacher,services,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,3,4,1,1,1,0,7,9,8 391 | MS,F,18,U,GT3,T,1,1,other,other,course,mother,2,2,1,no,no,no,yes,yes,yes,no,no,1,1,1,1,1,5,0,6,5,0 392 | MS,M,20,U,LE3,A,2,2,services,services,course,other,1,2,2,no,yes,yes,no,yes,yes,no,no,5,5,4,4,5,4,11,9,9,9 393 | MS,M,17,U,LE3,T,3,1,services,services,course,mother,2,1,0,no,no,no,no,no,yes,yes,no,2,4,5,3,4,2,3,14,16,16 394 | MS,M,21,R,GT3,T,1,1,other,other,course,other,1,1,3,no,no,no,no,no,yes,no,no,5,5,3,3,3,3,3,10,8,7 395 | MS,M,18,R,LE3,T,3,2,services,other,course,mother,3,1,0,no,no,no,no,no,yes,yes,no,4,4,1,3,4,5,0,11,12,10 396 | MS,M,19,U,LE3,T,1,1,other,at_home,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,2,3,3,3,5,5,8,9,9 397 | -------------------------------------------------------------------------------- /Group088_Final_Project.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "id": "initial_id", 7 | "metadata": { 8 | "collapsed": true, 9 | "ExecuteTime": { 10 | "end_time": "2024-02-26T04:57:55.140305700Z", 11 | "start_time": "2024-02-26T04:57:54.871097700Z" 12 | } 13 | }, 14 | "outputs": [], 15 | "source": [ 16 | "import numpy as np\n", 17 | "import pandas as pd\n", 18 | "import matplotlib.pyplot as plt\n", 19 | "import seaborn as sns\n", 20 | "from sklearn import datasets\n", 21 | "from sklearn.model_selection import train_test_split\n", 22 | "from sklearn.linear_model import LinearRegression\n", 23 | "from sklearn.metrics import mean_squared_error\n", 24 | "import requests\n", 25 | "import json\n", 26 | "import io" 27 | ] 28 | }, 29 | { 30 | "cell_type": "code", 31 | "outputs": [ 32 | { 33 | "data": { 34 | "text/plain": " school sex age address famsize Pstatus Medu Fedu Mjob Fjob \\\n0 GP F 18 U GT3 A 4 4 at_home teacher \n1 GP F 17 U GT3 T 1 1 at_home other \n2 GP F 15 U LE3 T 1 1 at_home other \n3 GP F 15 U GT3 T 4 2 health services \n4 GP F 16 U GT3 T 3 3 other other \n.. ... .. ... ... ... ... ... ... ... ... \n390 MS M 20 U LE3 A 2 2 services services \n391 MS M 17 U LE3 T 3 1 services services \n392 MS M 21 R GT3 T 1 1 other other \n393 MS M 18 R LE3 T 3 2 services other \n394 MS M 19 U LE3 T 1 1 other at_home \n\n ... famrel freetime goout Dalc Walc health absences G1 G2 G3 \n0 ... 4 3 4 1 1 3 6 5 6 6 \n1 ... 5 3 3 1 1 3 4 5 5 6 \n2 ... 4 3 2 2 3 3 10 7 8 10 \n3 ... 3 2 2 1 1 5 2 15 14 15 \n4 ... 4 3 2 1 2 5 4 6 10 10 \n.. ... ... ... ... ... ... ... ... .. .. .. \n390 ... 5 5 4 4 5 4 11 9 9 9 \n391 ... 2 4 5 3 4 2 3 14 16 16 \n392 ... 5 5 3 3 3 3 3 10 8 7 \n393 ... 4 4 1 3 4 5 0 11 12 10 \n394 ... 3 2 3 3 3 5 5 8 9 9 \n\n[395 rows x 33 columns]", 35 | "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
schoolsexageaddressfamsizePstatusMeduFeduMjobFjob...famrelfreetimegooutDalcWalchealthabsencesG1G2G3
0GPF18UGT3A44at_hometeacher...4341136566
1GPF17UGT3T11at_homeother...5331134556
2GPF15ULE3T11at_homeother...432233107810
3GPF15UGT3T42healthservices...3221152151415
4GPF16UGT3T33otherother...432125461010
..................................................................
390MSM20ULE3A22servicesservices...55445411999
391MSM17ULE3T31servicesservices...2453423141616
392MSM21RGT3T11otherother...55333331087
393MSM18RLE3T32servicesother...4413450111210
394MSM19ULE3T11otherat_home...3233355899
\n

395 rows × 33 columns

\n
" 36 | }, 37 | "execution_count": 2, 38 | "metadata": {}, 39 | "output_type": "execute_result" 40 | } 41 | ], 42 | "source": [ 43 | "# load the data\n", 44 | "math_df = pd.read_csv('student-mat.csv')\n", 45 | "por_df = pd.read_csv('student-por.csv')\n", 46 | "math_df" 47 | ], 48 | "metadata": { 49 | "collapsed": false, 50 | "ExecuteTime": { 51 | "end_time": "2024-02-26T05:06:24.491709200Z", 52 | "start_time": "2024-02-26T05:06:24.465632Z" 53 | } 54 | }, 55 | "id": "38bb5064b3a7b2df", 56 | "execution_count": 2 57 | }, 58 | { 59 | "cell_type": "code", 60 | "outputs": [], 61 | "source": [ 62 | "# Rename columns to be more descriptive\n", 63 | "math_df.rename(columns={'Medu': 'mother_edu'}, inplace=True)\n", 64 | "por_df.rename(columns={'Medu': 'mother_edu'}, inplace=True)\n", 65 | "\n", 66 | "math_df.rename(columns={'Fedu': 'father_edu'}, inplace=True)\n", 67 | "por_df.rename(columns={'Fedu': 'father_edu'}, inplace=True)\n", 68 | "\n", 69 | "math_df.rename(columns={'Mjob': 'mother_job'}, inplace=True)\n", 70 | "por_df.rename(columns={'Mjob': 'mother_job'}, inplace=True)\n", 71 | "\n", 72 | "math_df.rename(columns={'Fjob': 'father_job'}, inplace=True)\n", 73 | "por_df.rename(columns={'Fjob': 'father_job'}, inplace=True)\n", 74 | "\n", 75 | "math_df.rename(columns={'Pstatus': 'parent_status'}, inplace=True)\n", 76 | "por_df.rename(columns={'Pstatus': 'parent_status'}, inplace=True)\n", 77 | "\n", 78 | "math_df.rename(columns={'famsize': 'family_size'}, inplace=True)\n", 79 | "por_df.rename(columns={'famsize': 'family_size'}, inplace=True)\n", 80 | "\n", 81 | "math_df.rename(columns={'famsup': 'family_support'}, inplace=True)\n", 82 | "por_df.rename(columns={'famsup': 'family_support'}, inplace=True)\n", 83 | "\n", 84 | "math_df.rename(columns={'famrel': 'family_relationship'}, inplace=True)\n", 85 | "por_df.rename(columns={'famrel': 'family_relationship'}, inplace=True)\n", 86 | "\n", 87 | "math_df.rename(columns={'schoolsup': 'edu_support'}, inplace=True)\n", 88 | "por_df.rename(columns={'schoolsup': 'edu_support'}, inplace=True)\n", 89 | "\n", 90 | "math_df.rename(columns={'Dalc': 'workday_alc'}, inplace=True)\n", 91 | "por_df.rename(columns={'Dalc': 'workday_alc'}, inplace=True)\n", 92 | "\n", 93 | "math_df.rename(columns={'Walc': 'weekend_alc'}, inplace=True)\n", 94 | "por_df.rename(columns={'Walc': 'weekend_alc'}, inplace=True)" 95 | ], 96 | "metadata": { 97 | "collapsed": false, 98 | "ExecuteTime": { 99 | "end_time": "2024-02-26T05:20:56.008049600Z", 100 | "start_time": "2024-02-26T05:20:55.999537300Z" 101 | } 102 | }, 103 | "id": "f39dc4650f027ac1", 104 | "execution_count": 8 105 | }, 106 | { 107 | "cell_type": "code", 108 | "outputs": [ 109 | { 110 | "data": { 111 | "text/plain": " school sex age address family_size parent_status mother_edu father_edu \\\n0 GP F 18 U GT3 A 4 4 \n1 GP F 17 U GT3 T 1 1 \n2 GP F 15 U LE3 T 1 1 \n3 GP F 15 U GT3 T 4 2 \n4 GP F 16 U GT3 T 3 3 \n.. ... .. ... ... ... ... ... ... \n390 MS M 20 U LE3 A 2 2 \n391 MS M 17 U LE3 T 3 1 \n392 MS M 21 R GT3 T 1 1 \n393 MS M 18 R LE3 T 3 2 \n394 MS M 19 U LE3 T 1 1 \n\n mother_job father_job ... family_relationship freetime goout \\\n0 at_home teacher ... 4 3 4 \n1 at_home other ... 5 3 3 \n2 at_home other ... 4 3 2 \n3 health services ... 3 2 2 \n4 other other ... 4 3 2 \n.. ... ... ... ... ... ... \n390 services services ... 5 5 4 \n391 services services ... 2 4 5 \n392 other other ... 5 5 3 \n393 services other ... 4 4 1 \n394 other at_home ... 3 2 3 \n\n workday_alc weekend_alc health absences G1 G2 G3 \n0 1 1 3 6 5 6 6 \n1 1 1 3 4 5 5 6 \n2 2 3 3 10 7 8 10 \n3 1 1 5 2 15 14 15 \n4 1 2 5 4 6 10 10 \n.. ... ... ... ... .. .. .. \n390 4 5 4 11 9 9 9 \n391 3 4 2 3 14 16 16 \n392 3 3 3 3 10 8 7 \n393 3 4 5 0 11 12 10 \n394 3 3 5 5 8 9 9 \n\n[395 rows x 33 columns]", 112 | "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
schoolsexageaddressfamily_sizeparent_statusmother_edufather_edumother_jobfather_job...family_relationshipfreetimegooutworkday_alcweekend_alchealthabsencesG1G2G3
0GPF18UGT3A44at_hometeacher...4341136566
1GPF17UGT3T11at_homeother...5331134556
2GPF15ULE3T11at_homeother...432233107810
3GPF15UGT3T42healthservices...3221152151415
4GPF16UGT3T33otherother...432125461010
..................................................................
390MSM20ULE3A22servicesservices...55445411999
391MSM17ULE3T31servicesservices...2453423141616
392MSM21RGT3T11otherother...55333331087
393MSM18RLE3T32servicesother...4413450111210
394MSM19ULE3T11otherat_home...3233355899
\n

395 rows × 33 columns

\n
" 113 | }, 114 | "execution_count": 9, 115 | "metadata": {}, 116 | "output_type": "execute_result" 117 | } 118 | ], 119 | "source": [ 120 | "math_df" 121 | ], 122 | "metadata": { 123 | "collapsed": false, 124 | "ExecuteTime": { 125 | "end_time": "2024-02-26T05:20:58.319520100Z", 126 | "start_time": "2024-02-26T05:20:58.284929900Z" 127 | } 128 | }, 129 | "id": "4e4915c91fdc2ba6", 130 | "execution_count": 9 131 | }, 132 | { 133 | "cell_type": "code", 134 | "outputs": [], 135 | "source": [ 136 | "def standardize_school(school):\n", 137 | " if school == 'GP':\n", 138 | " return 'Gabriel Pereira'\n", 139 | " else:\n", 140 | " return 'Mousinho da Silveira'\n", 141 | "\n", 142 | "def standardize_address(address):\n", 143 | " if address == 'U':\n", 144 | " return 'urban'\n", 145 | " else:\n", 146 | " return 'rural'\n", 147 | " \n", 148 | "def standardize_parent_status(status):\n", 149 | " if status == 'A':\n", 150 | " return 'apart'\n", 151 | " else:\n", 152 | " return 'together'" 153 | ], 154 | "metadata": { 155 | "collapsed": false, 156 | "ExecuteTime": { 157 | "end_time": "2024-02-26T05:21:19.843905400Z", 158 | "start_time": "2024-02-26T05:21:19.840365200Z" 159 | } 160 | }, 161 | "id": "4232c80e126f8649", 162 | "execution_count": 10 163 | }, 164 | { 165 | "cell_type": "code", 166 | "outputs": [], 167 | "source": [ 168 | "math_df['school'] = math_df['school'].apply(standardize_school)\n", 169 | "por_df['school'] = por_df['school'].apply(standardize_school)\n", 170 | "\n", 171 | "math_df['address'] = math_df['address'].apply(standardize_address)\n", 172 | "por_df['address'] = por_df['address'].apply(standardize_address)\n", 173 | "\n", 174 | "math_df['parent_status'] = math_df['parent_status'].apply(standardize_parent_status)\n", 175 | "por_df['parent_status'] = por_df['parent_status'].apply(standardize_parent_status)" 176 | ], 177 | "metadata": { 178 | "collapsed": false, 179 | "ExecuteTime": { 180 | "end_time": "2024-02-26T05:21:58.478595Z", 181 | "start_time": "2024-02-26T05:21:58.466066600Z" 182 | } 183 | }, 184 | "id": "e2c293513e851cf3", 185 | "execution_count": 11 186 | }, 187 | { 188 | "cell_type": "code", 189 | "outputs": [ 190 | { 191 | "name": "stdout", 192 | "output_type": "stream", 193 | "text": [ 194 | "Missing values in Math dataset:\n", 195 | " school 0\n", 196 | "sex 0\n", 197 | "age 0\n", 198 | "address 0\n", 199 | "family_size 0\n", 200 | "parent_status 0\n", 201 | "mother_edu 0\n", 202 | "father_edu 0\n", 203 | "mother_job 0\n", 204 | "father_job 0\n", 205 | "reason 0\n", 206 | "guardian 0\n", 207 | "traveltime 0\n", 208 | "studytime 0\n", 209 | "failures 0\n", 210 | "edu_support 0\n", 211 | "family_support 0\n", 212 | "paid 0\n", 213 | "activities 0\n", 214 | "nursery 0\n", 215 | "higher 0\n", 216 | "internet 0\n", 217 | "romantic 0\n", 218 | "family_relationship 0\n", 219 | "freetime 0\n", 220 | "goout 0\n", 221 | "workday_alc 0\n", 222 | "weekend_alc 0\n", 223 | "health 0\n", 224 | "absences 0\n", 225 | "G1 0\n", 226 | "G2 0\n", 227 | "G3 0\n", 228 | "dtype: int64\n", 229 | "\n", 230 | "Missing values in Portuguese dataset:\n", 231 | " school 0\n", 232 | "sex 0\n", 233 | "age 0\n", 234 | "address 0\n", 235 | "family_size 0\n", 236 | "parent_status 0\n", 237 | "mother_edu 0\n", 238 | "father_edu 0\n", 239 | "mother_job 0\n", 240 | "father_job 0\n", 241 | "reason 0\n", 242 | "guardian 0\n", 243 | "traveltime 0\n", 244 | "studytime 0\n", 245 | "failures 0\n", 246 | "edu_support 0\n", 247 | "family_support 0\n", 248 | "paid 0\n", 249 | "activities 0\n", 250 | "nursery 0\n", 251 | "higher 0\n", 252 | "internet 0\n", 253 | "romantic 0\n", 254 | "family_relationship 0\n", 255 | "freetime 0\n", 256 | "goout 0\n", 257 | "workday_alc 0\n", 258 | "weekend_alc 0\n", 259 | "health 0\n", 260 | "absences 0\n", 261 | "G1 0\n", 262 | "G2 0\n", 263 | "G3 0\n", 264 | "dtype: int64\n" 265 | ] 266 | } 267 | ], 268 | "source": [ 269 | "# Step 1: Missing Values - Checking for missing values\n", 270 | "print(\"Missing values in Math dataset:\\n\", math_df.isnull().sum())\n", 271 | "print(\"\\nMissing values in Portuguese dataset:\\n\", por_df.isnull().sum())" 272 | ], 273 | "metadata": { 274 | "collapsed": false, 275 | "ExecuteTime": { 276 | "end_time": "2024-02-26T05:22:57.413096800Z", 277 | "start_time": "2024-02-26T05:22:57.399454900Z" 278 | } 279 | }, 280 | "id": "c84187cf67417907", 281 | "execution_count": 13 282 | }, 283 | { 284 | "cell_type": "code", 285 | "outputs": [ 286 | { 287 | "name": "stdout", 288 | "output_type": "stream", 289 | "text": [ 290 | "Number of duplicate entries in Math dataset: 0\n", 291 | "Number of duplicate entries in Portuguese dataset: 0\n" 292 | ] 293 | } 294 | ], 295 | "source": [ 296 | "# Step 2: Duplicate Entries - Checking for duplicates\n", 297 | "math_duplicates = math_df.duplicated().sum()\n", 298 | "por_duplicates = por_df.duplicated().sum()\n", 299 | "print(\"Number of duplicate entries in Math dataset: \", math_duplicates)\n", 300 | "print(\"Number of duplicate entries in Portuguese dataset: \", por_duplicates)" 301 | ], 302 | "metadata": { 303 | "collapsed": false, 304 | "ExecuteTime": { 305 | "end_time": "2024-02-26T05:23:10.255029300Z", 306 | "start_time": "2024-02-26T05:23:10.241067400Z" 307 | } 308 | }, 309 | "id": "24ea1e150b342284", 310 | "execution_count": 14 311 | }, 312 | { 313 | "cell_type": "code", 314 | "outputs": [ 315 | { 316 | "name": "stdout", 317 | "output_type": "stream", 318 | "text": [ 319 | "Data types in Math dataset:\n", 320 | " school object\n", 321 | "sex object\n", 322 | "age int64\n", 323 | "address object\n", 324 | "family_size object\n", 325 | "parent_status object\n", 326 | "mother_edu int64\n", 327 | "father_edu int64\n", 328 | "mother_job object\n", 329 | "father_job object\n", 330 | "reason object\n", 331 | "guardian object\n", 332 | "traveltime int64\n", 333 | "studytime int64\n", 334 | "failures int64\n", 335 | "edu_support object\n", 336 | "family_support object\n", 337 | "paid object\n", 338 | "activities object\n", 339 | "nursery object\n", 340 | "higher object\n", 341 | "internet object\n", 342 | "romantic object\n", 343 | "family_relationship int64\n", 344 | "freetime int64\n", 345 | "goout int64\n", 346 | "workday_alc int64\n", 347 | "weekend_alc int64\n", 348 | "health int64\n", 349 | "absences int64\n", 350 | "G1 int64\n", 351 | "G2 int64\n", 352 | "G3 int64\n", 353 | "dtype: object\n", 354 | "\n", 355 | "Data types in Portuguese dataset:\n", 356 | " school object\n", 357 | "sex object\n", 358 | "age int64\n", 359 | "address object\n", 360 | "family_size object\n", 361 | "parent_status object\n", 362 | "mother_edu int64\n", 363 | "father_edu int64\n", 364 | "mother_job object\n", 365 | "father_job object\n", 366 | "reason object\n", 367 | "guardian object\n", 368 | "traveltime int64\n", 369 | "studytime int64\n", 370 | "failures int64\n", 371 | "edu_support object\n", 372 | "family_support object\n", 373 | "paid object\n", 374 | "activities object\n", 375 | "nursery object\n", 376 | "higher object\n", 377 | "internet object\n", 378 | "romantic object\n", 379 | "family_relationship int64\n", 380 | "freetime int64\n", 381 | "goout int64\n", 382 | "workday_alc int64\n", 383 | "weekend_alc int64\n", 384 | "health int64\n", 385 | "absences int64\n", 386 | "G1 int64\n", 387 | "G2 int64\n", 388 | "G3 int64\n", 389 | "dtype: object\n" 390 | ] 391 | } 392 | ], 393 | "source": [ 394 | "# Convert to appropriate data types if necessary (Step 3) - a quick check\n", 395 | "math_dtypes = math_df.dtypes\n", 396 | "por_dtypes = por_df.dtypes\n", 397 | "print(\"Data types in Math dataset:\\n\", math_dtypes)\n", 398 | "print(\"\\nData types in Portuguese dataset:\\n\", por_dtypes)" 399 | ], 400 | "metadata": { 401 | "collapsed": false, 402 | "ExecuteTime": { 403 | "end_time": "2024-02-26T05:23:20.811923400Z", 404 | "start_time": "2024-02-26T05:23:20.804344Z" 405 | } 406 | }, 407 | "id": "a5abc5e9d916d3a1", 408 | "execution_count": 15 409 | }, 410 | { 411 | "cell_type": "code", 412 | "outputs": [ 413 | { 414 | "data": { 415 | "text/plain": " age mother_edu father_edu traveltime studytime failures \\\ncount 395.000000 395.000000 395.000000 395.000000 395.000000 395.000000 \nmean 16.696203 2.749367 2.521519 1.448101 2.035443 0.334177 \nstd 1.276043 1.094735 1.088201 0.697505 0.839240 0.743651 \nmin 15.000000 0.000000 0.000000 1.000000 1.000000 0.000000 \n25% 16.000000 2.000000 2.000000 1.000000 1.000000 0.000000 \n50% 17.000000 3.000000 2.000000 1.000000 2.000000 0.000000 \n75% 18.000000 4.000000 3.000000 2.000000 2.000000 0.000000 \nmax 22.000000 4.000000 4.000000 4.000000 4.000000 3.000000 \n\n family_relationship freetime goout workday_alc weekend_alc \\\ncount 395.000000 395.000000 395.000000 395.000000 395.000000 \nmean 3.944304 3.235443 3.108861 1.481013 2.291139 \nstd 0.896659 0.998862 1.113278 0.890741 1.287897 \nmin 1.000000 1.000000 1.000000 1.000000 1.000000 \n25% 4.000000 3.000000 2.000000 1.000000 1.000000 \n50% 4.000000 3.000000 3.000000 1.000000 2.000000 \n75% 5.000000 4.000000 4.000000 2.000000 3.000000 \nmax 5.000000 5.000000 5.000000 5.000000 5.000000 \n\n health absences G1 G2 G3 \ncount 395.000000 395.000000 395.000000 395.000000 395.000000 \nmean 3.554430 5.708861 10.908861 10.713924 10.415190 \nstd 1.390303 8.003096 3.319195 3.761505 4.581443 \nmin 1.000000 0.000000 3.000000 0.000000 0.000000 \n25% 3.000000 0.000000 8.000000 9.000000 8.000000 \n50% 4.000000 4.000000 11.000000 11.000000 11.000000 \n75% 5.000000 8.000000 13.000000 13.000000 14.000000 \nmax 5.000000 75.000000 19.000000 19.000000 20.000000 ", 416 | "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
agemother_edufather_edutraveltimestudytimefailuresfamily_relationshipfreetimegooutworkday_alcweekend_alchealthabsencesG1G2G3
count395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000395.000000
mean16.6962032.7493672.5215191.4481012.0354430.3341773.9443043.2354433.1088611.4810132.2911393.5544305.70886110.90886110.71392410.415190
std1.2760431.0947351.0882010.6975050.8392400.7436510.8966590.9988621.1132780.8907411.2878971.3903038.0030963.3191953.7615054.581443
min15.0000000.0000000.0000001.0000001.0000000.0000001.0000001.0000001.0000001.0000001.0000001.0000000.0000003.0000000.0000000.000000
25%16.0000002.0000002.0000001.0000001.0000000.0000004.0000003.0000002.0000001.0000001.0000003.0000000.0000008.0000009.0000008.000000
50%17.0000003.0000002.0000001.0000002.0000000.0000004.0000003.0000003.0000001.0000002.0000004.0000004.00000011.00000011.00000011.000000
75%18.0000004.0000003.0000002.0000002.0000000.0000005.0000004.0000004.0000002.0000003.0000005.0000008.00000013.00000013.00000014.000000
max22.0000004.0000004.0000004.0000004.0000003.0000005.0000005.0000005.0000005.0000005.0000005.00000075.00000019.00000019.00000020.000000
\n
" 417 | }, 418 | "execution_count": 16, 419 | "metadata": {}, 420 | "output_type": "execute_result" 421 | } 422 | ], 423 | "source": [ 424 | "# Step 4: Outliers - Checking for outliers\n", 425 | "math_df.describe()" 426 | ], 427 | "metadata": { 428 | "collapsed": false, 429 | "ExecuteTime": { 430 | "end_time": "2024-02-26T05:23:29.028532100Z", 431 | "start_time": "2024-02-26T05:23:28.987082500Z" 432 | } 433 | }, 434 | "id": "121f456fb44d2f0a", 435 | "execution_count": 16 436 | }, 437 | { 438 | "cell_type": "code", 439 | "outputs": [ 440 | { 441 | "data": { 442 | "text/plain": " age mother_edu father_edu traveltime studytime failures \\\ncount 649.000000 649.000000 649.000000 649.000000 649.000000 649.000000 \nmean 16.744222 2.514638 2.306626 1.568567 1.930663 0.221880 \nstd 1.218138 1.134552 1.099931 0.748660 0.829510 0.593235 \nmin 15.000000 0.000000 0.000000 1.000000 1.000000 0.000000 \n25% 16.000000 2.000000 1.000000 1.000000 1.000000 0.000000 \n50% 17.000000 2.000000 2.000000 1.000000 2.000000 0.000000 \n75% 18.000000 4.000000 3.000000 2.000000 2.000000 0.000000 \nmax 22.000000 4.000000 4.000000 4.000000 4.000000 3.000000 \n\n family_relationship freetime goout workday_alc weekend_alc \\\ncount 649.000000 649.000000 649.000000 649.000000 649.000000 \nmean 3.930663 3.180277 3.184900 1.502311 2.280431 \nstd 0.955717 1.051093 1.175766 0.924834 1.284380 \nmin 1.000000 1.000000 1.000000 1.000000 1.000000 \n25% 4.000000 3.000000 2.000000 1.000000 1.000000 \n50% 4.000000 3.000000 3.000000 1.000000 2.000000 \n75% 5.000000 4.000000 4.000000 2.000000 3.000000 \nmax 5.000000 5.000000 5.000000 5.000000 5.000000 \n\n health absences G1 G2 G3 \ncount 649.000000 649.000000 649.000000 649.000000 649.000000 \nmean 3.536210 3.659476 11.399076 11.570108 11.906009 \nstd 1.446259 4.640759 2.745265 2.913639 3.230656 \nmin 1.000000 0.000000 0.000000 0.000000 0.000000 \n25% 2.000000 0.000000 10.000000 10.000000 10.000000 \n50% 4.000000 2.000000 11.000000 11.000000 12.000000 \n75% 5.000000 6.000000 13.000000 13.000000 14.000000 \nmax 5.000000 32.000000 19.000000 19.000000 19.000000 ", 443 | "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
agemother_edufather_edutraveltimestudytimefailuresfamily_relationshipfreetimegooutworkday_alcweekend_alchealthabsencesG1G2G3
count649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000649.000000
mean16.7442222.5146382.3066261.5685671.9306630.2218803.9306633.1802773.1849001.5023112.2804313.5362103.65947611.39907611.57010811.906009
std1.2181381.1345521.0999310.7486600.8295100.5932350.9557171.0510931.1757660.9248341.2843801.4462594.6407592.7452652.9136393.230656
min15.0000000.0000000.0000001.0000001.0000000.0000001.0000001.0000001.0000001.0000001.0000001.0000000.0000000.0000000.0000000.000000
25%16.0000002.0000001.0000001.0000001.0000000.0000004.0000003.0000002.0000001.0000001.0000002.0000000.00000010.00000010.00000010.000000
50%17.0000002.0000002.0000001.0000002.0000000.0000004.0000003.0000003.0000001.0000002.0000004.0000002.00000011.00000011.00000012.000000
75%18.0000004.0000003.0000002.0000002.0000000.0000005.0000004.0000004.0000002.0000003.0000005.0000006.00000013.00000013.00000014.000000
max22.0000004.0000004.0000004.0000004.0000003.0000005.0000005.0000005.0000005.0000005.0000005.00000032.00000019.00000019.00000019.000000
\n
" 444 | }, 445 | "execution_count": 17, 446 | "metadata": {}, 447 | "output_type": "execute_result" 448 | } 449 | ], 450 | "source": [ 451 | "por_df.describe()" 452 | ], 453 | "metadata": { 454 | "collapsed": false, 455 | "ExecuteTime": { 456 | "end_time": "2024-02-26T05:23:36.492423100Z", 457 | "start_time": "2024-02-26T05:23:36.439442Z" 458 | } 459 | }, 460 | "id": "c833dc29be43f79a", 461 | "execution_count": 17 462 | }, 463 | { 464 | "cell_type": "code", 465 | "outputs": [], 466 | "source": [], 467 | "metadata": { 468 | "collapsed": false 469 | }, 470 | "id": "9a48fa1cd8b2946d" 471 | } 472 | ], 473 | "metadata": { 474 | "kernelspec": { 475 | "display_name": "Python 3", 476 | "language": "python", 477 | "name": "python3" 478 | }, 479 | "language_info": { 480 | "codemirror_mode": { 481 | "name": "ipython", 482 | "version": 2 483 | }, 484 | "file_extension": ".py", 485 | "mimetype": "text/x-python", 486 | "name": "python", 487 | "nbconvert_exporter": "python", 488 | "pygments_lexer": "ipython2", 489 | "version": "2.7.6" 490 | } 491 | }, 492 | "nbformat": 4, 493 | "nbformat_minor": 5 494 | } 495 | -------------------------------------------------------------------------------- /student-por.csv: -------------------------------------------------------------------------------- 1 | school,sex,age,address,famsize,Pstatus,Medu,Fedu,Mjob,Fjob,reason,guardian,traveltime,studytime,failures,schoolsup,famsup,paid,activities,nursery,higher,internet,romantic,famrel,freetime,goout,Dalc,Walc,health,absences,G1,G2,G3 2 | GP,F,18,U,GT3,A,4,4,at_home,teacher,course,mother,2,2,0,yes,no,no,no,yes,yes,no,no,4,3,4,1,1,3,4,0,11,11 3 | GP,F,17,U,GT3,T,1,1,at_home,other,course,father,1,2,0,no,yes,no,no,no,yes,yes,no,5,3,3,1,1,3,2,9,11,11 4 | GP,F,15,U,LE3,T,1,1,at_home,other,other,mother,1,2,0,yes,no,no,no,yes,yes,yes,no,4,3,2,2,3,3,6,12,13,12 5 | GP,F,15,U,GT3,T,4,2,health,services,home,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,3,2,2,1,1,5,0,14,14,14 6 | GP,F,16,U,GT3,T,3,3,other,other,home,father,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,2,1,2,5,0,11,13,13 7 | GP,M,16,U,LE3,T,4,3,services,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,2,1,2,5,6,12,12,13 8 | GP,M,16,U,LE3,T,2,2,other,other,home,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,4,1,1,3,0,13,12,13 9 | GP,F,17,U,GT3,A,4,4,other,teacher,home,mother,2,2,0,yes,yes,no,no,yes,yes,no,no,4,1,4,1,1,1,2,10,13,13 10 | GP,M,15,U,LE3,A,3,2,services,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,2,2,1,1,1,0,15,16,17 11 | GP,M,15,U,GT3,T,3,4,other,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,5,1,1,1,5,0,12,12,13 12 | GP,F,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,3,3,3,1,2,2,2,14,14,14 13 | GP,F,15,U,GT3,T,2,1,services,other,reputation,father,3,3,0,no,yes,no,yes,yes,yes,yes,no,5,2,2,1,1,4,0,10,12,13 14 | GP,M,15,U,LE3,T,4,4,health,services,course,father,1,1,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,3,5,0,12,13,12 15 | GP,M,15,U,GT3,T,4,3,teacher,other,course,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,5,4,3,1,2,3,0,12,12,13 16 | GP,M,15,U,GT3,A,2,2,other,other,home,other,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,5,2,1,1,3,0,14,14,15 17 | GP,F,16,U,GT3,T,4,4,health,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,4,4,4,1,2,2,6,17,17,17 18 | GP,F,16,U,GT3,T,4,4,services,services,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,3,2,3,1,2,2,10,13,13,14 19 | GP,F,16,U,GT3,T,3,3,other,other,reputation,mother,3,2,0,yes,yes,no,yes,yes,yes,no,no,5,3,2,1,1,4,2,13,14,14 20 | GP,M,17,U,GT3,T,3,2,services,services,course,mother,1,1,3,no,yes,yes,yes,yes,yes,yes,no,5,5,5,2,4,5,2,8,8,7 21 | GP,M,16,U,LE3,T,4,3,health,other,home,father,1,1,0,no,no,no,yes,yes,yes,yes,no,3,1,3,1,3,5,6,12,12,12 22 | GP,M,15,U,GT3,T,4,3,teacher,other,reputation,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,4,1,1,1,1,0,12,13,14 23 | GP,M,15,U,GT3,T,4,4,health,health,other,father,1,1,0,no,yes,yes,no,yes,yes,yes,no,5,4,2,1,1,5,0,11,12,12 24 | GP,M,16,U,LE3,T,4,2,teacher,other,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,4,5,1,1,3,5,0,12,13,14 25 | GP,M,16,U,LE3,T,2,2,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,2,4,5,2,10,10,10 26 | GP,F,15,R,GT3,T,2,4,services,health,course,mother,1,3,0,yes,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,5,2,10,11,10 27 | GP,F,16,U,GT3,T,2,2,services,services,home,mother,1,1,0,no,yes,no,no,no,yes,yes,no,1,2,2,1,3,5,6,10,11,12 28 | GP,M,15,U,GT3,T,2,2,other,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,4,2,2,1,2,5,8,11,12,12 29 | GP,M,15,U,GT3,T,4,2,health,services,other,mother,1,1,0,no,no,no,no,yes,yes,yes,no,2,2,4,2,4,1,0,11,11,11 30 | GP,M,16,U,LE3,A,3,4,services,other,home,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,no,5,3,3,1,1,5,2,12,12,13 31 | GP,M,16,U,GT3,T,4,4,teacher,teacher,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,4,4,5,5,5,5,4,12,11,12 32 | GP,M,15,U,GT3,T,4,4,health,services,home,mother,1,2,0,no,yes,yes,no,no,yes,yes,no,5,4,2,3,4,5,0,10,11,11 33 | GP,M,15,U,GT3,T,4,4,services,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,1,1,1,5,2,15,15,15 34 | GP,M,15,R,GT3,T,4,3,teacher,at_home,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,5,2,1,1,5,0,13,14,15 35 | GP,M,15,U,LE3,T,3,3,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,2,1,1,2,0,13,12,12 36 | GP,M,16,U,GT3,T,3,2,other,other,home,mother,1,1,0,no,yes,no,no,no,yes,yes,no,5,4,3,1,1,5,4,12,12,12 37 | GP,F,15,U,GT3,T,2,3,other,other,other,father,2,1,0,no,yes,no,yes,yes,yes,no,no,3,5,1,1,1,5,4,11,11,11 38 | GP,M,15,U,LE3,T,4,3,teacher,services,home,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,1,4,0,14,14,14 39 | GP,M,16,R,GT3,A,4,4,other,teacher,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,yes,2,4,3,1,1,5,4,13,13,13 40 | GP,F,15,R,GT3,T,3,4,services,health,course,mother,1,3,0,yes,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,5,2,11,12,12 41 | GP,F,15,R,GT3,T,2,2,at_home,other,reputation,mother,1,1,0,yes,yes,no,yes,yes,yes,no,no,4,3,1,1,1,2,8,14,13,12 42 | GP,F,16,U,LE3,T,2,2,other,other,home,mother,2,2,0,no,yes,no,yes,no,yes,yes,yes,3,3,3,1,2,3,16,11,11,10 43 | GP,M,15,U,LE3,T,4,4,teacher,other,home,other,1,1,0,no,yes,no,no,no,yes,yes,yes,5,4,3,2,4,5,8,10,11,11 44 | GP,M,15,U,GT3,T,4,4,services,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,1,5,0,14,15,15 45 | GP,M,15,U,GT3,T,2,2,services,services,course,father,1,1,0,yes,yes,no,no,yes,yes,yes,no,5,4,1,1,1,1,0,9,10,10 46 | GP,F,16,U,LE3,T,2,2,other,at_home,course,father,2,2,1,yes,no,no,yes,yes,yes,yes,no,4,3,3,2,2,5,14,10,11,11 47 | GP,F,15,U,LE3,A,4,3,other,other,course,mother,1,2,0,yes,yes,yes,yes,yes,yes,yes,yes,5,2,2,1,1,5,4,10,11,11 48 | GP,F,16,U,LE3,A,3,3,other,services,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,3,5,1,4,3,6,13,12,13 49 | GP,M,16,U,GT3,T,4,3,health,services,reputation,mother,1,4,0,no,no,no,yes,yes,yes,yes,no,4,2,2,1,1,2,2,17,17,17 50 | GP,M,15,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,3,2,2,5,4,11,12,13 51 | GP,F,15,U,GT3,T,4,4,services,teacher,other,father,1,2,0,yes,yes,no,yes,no,yes,yes,no,4,4,4,1,1,3,2,13,12,12 52 | GP,F,16,U,LE3,T,2,2,services,services,course,mother,3,2,0,no,yes,no,no,yes,yes,yes,no,4,3,3,2,3,4,0,14,13,13 53 | GP,F,15,U,LE3,T,4,2,health,other,other,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,5,0,16,14,16 54 | GP,M,15,U,LE3,A,4,2,health,health,other,father,2,1,0,no,no,no,no,yes,yes,no,no,5,5,5,3,4,5,4,10,9,9 55 | GP,F,15,U,GT3,T,4,4,services,services,course,mother,1,1,0,yes,yes,no,no,yes,yes,yes,no,3,3,4,2,3,5,0,13,12,12 56 | GP,F,15,U,LE3,A,3,3,other,other,other,mother,1,1,0,no,no,no,no,yes,yes,yes,no,5,3,4,4,4,1,0,13,12,13 57 | GP,F,16,U,GT3,A,2,1,other,other,other,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,3,4,1,1,2,2,12,13,12 58 | GP,F,15,U,GT3,A,4,3,services,services,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,1,0,15,14,15 59 | GP,M,15,U,GT3,T,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,3,2,2,1,1,5,8,15,15,16 60 | GP,M,15,U,LE3,T,1,2,other,at_home,home,father,1,2,0,yes,yes,no,yes,yes,yes,yes,no,4,3,2,1,1,5,0,14,13,14 61 | GP,F,16,U,GT3,T,4,2,services,other,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,no,4,2,3,1,1,5,2,16,15,16 62 | GP,F,16,R,GT3,T,4,4,health,teacher,other,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,2,4,4,2,3,4,0,17,16,16 63 | GP,F,16,U,GT3,T,1,1,services,services,course,father,4,1,0,yes,yes,no,yes,no,yes,yes,yes,5,5,5,5,5,5,0,10,10,16 64 | GP,F,16,U,LE3,T,1,2,other,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,no,4,4,3,1,1,1,0,13,13,10 65 | GP,F,16,U,GT3,T,4,3,teacher,health,home,mother,1,3,0,yes,yes,no,yes,yes,yes,yes,no,3,4,4,2,4,4,0,14,13,13 66 | GP,F,15,U,LE3,T,4,3,services,services,reputation,father,1,2,0,yes,no,no,yes,yes,yes,yes,yes,4,4,4,2,4,2,0,13,12,12 67 | GP,F,16,U,LE3,T,4,3,teacher,services,course,mother,3,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,2,1,2,16,15,16 68 | GP,M,15,U,GT3,A,4,4,other,services,reputation,mother,1,4,0,no,yes,no,yes,no,yes,yes,yes,1,3,3,5,5,3,0,11,12,12 69 | GP,F,16,U,GT3,T,3,1,services,other,course,mother,1,4,0,yes,yes,no,no,yes,yes,yes,no,4,3,3,1,2,5,0,10,9,10 70 | GP,F,15,R,LE3,T,2,2,health,services,reputation,mother,2,2,0,yes,yes,no,no,yes,yes,yes,no,4,1,3,1,3,4,0,11,10,11 71 | GP,F,15,R,LE3,T,3,1,other,other,reputation,father,2,4,0,no,yes,no,no,no,yes,yes,no,4,4,2,2,3,3,6,15,15,15 72 | GP,M,16,U,GT3,T,3,1,other,other,reputation,father,2,4,0,no,yes,no,no,yes,yes,yes,no,4,3,2,1,1,5,2,13,11,11 73 | GP,M,15,U,GT3,T,4,2,other,other,course,mother,1,4,0,no,no,no,no,yes,yes,yes,no,3,3,3,1,1,3,0,11,9,10 74 | GP,F,15,R,GT3,T,1,1,other,other,reputation,mother,1,2,0,yes,yes,no,no,no,yes,yes,yes,3,3,4,2,4,5,2,13,11,11 75 | GP,M,16,U,GT3,T,3,1,other,other,reputation,mother,1,1,0,no,no,no,yes,yes,yes,no,no,5,3,2,2,2,5,0,13,13,14 76 | GP,F,16,U,GT3,T,3,3,other,services,home,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,no,4,3,3,2,4,5,4,11,11,11 77 | GP,M,15,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,2,3,5,0,11,11,11 78 | GP,M,15,U,GT3,T,4,0,teacher,other,course,mother,2,4,0,no,no,no,yes,yes,yes,yes,no,3,4,3,1,1,1,0,12,11,11 79 | GP,F,16,U,GT3,T,2,2,other,other,reputation,mother,1,4,0,no,no,no,no,yes,yes,yes,yes,5,2,3,1,3,3,1,13,13,13 80 | GP,M,17,U,GT3,T,2,1,other,other,home,mother,2,1,3,yes,yes,no,yes,yes,no,yes,no,4,5,1,1,1,3,0,9,9,10 81 | GP,F,16,U,GT3,T,3,4,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,4,3,1,2,3,14,12,11,11 82 | GP,M,15,U,GT3,T,2,3,other,services,course,father,1,1,0,yes,yes,no,yes,no,yes,yes,yes,3,2,2,1,3,3,0,11,11,12 83 | GP,M,15,U,GT3,T,2,3,other,other,home,mother,1,3,0,yes,no,no,no,no,yes,yes,no,5,3,2,1,2,5,2,10,9,9 84 | GP,F,15,U,LE3,T,3,2,services,other,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,4,4,1,1,5,4,12,11,11 85 | GP,M,15,U,LE3,T,2,2,services,services,home,mother,2,2,0,no,no,yes,yes,yes,yes,yes,no,5,3,3,1,3,4,2,13,12,13 86 | GP,F,15,U,GT3,T,1,1,other,other,home,father,1,2,0,no,yes,no,yes,no,yes,yes,no,4,3,2,2,3,4,2,13,12,12 87 | GP,F,15,U,GT3,T,4,4,services,services,reputation,father,2,2,0,no,no,no,no,yes,yes,yes,yes,4,4,4,2,3,5,4,12,11,12 88 | GP,F,16,U,LE3,T,2,2,at_home,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,4,1,2,2,6,13,11,11 89 | GP,F,15,U,GT3,T,4,2,other,other,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,3,1,4,15,15,15 90 | GP,M,16,U,GT3,T,2,2,services,other,reputation,father,2,2,0,no,no,no,yes,no,yes,yes,no,4,4,2,1,1,3,6,12,10,11 91 | GP,M,16,U,LE3,A,4,4,teacher,health,reputation,mother,1,2,0,no,yes,no,no,yes,yes,no,no,4,1,3,3,5,5,6,9,9,10 92 | GP,F,16,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,3,4,2,9,11,11 93 | GP,F,15,U,GT3,T,4,3,services,other,reputation,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,4,5,5,1,3,1,6,14,13,13 94 | GP,F,16,U,LE3,T,3,1,other,other,home,father,1,2,0,yes,yes,no,no,yes,yes,no,no,3,3,3,2,3,2,0,12,13,12 95 | GP,F,16,U,GT3,T,4,2,teacher,services,home,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,1,2,13,14,14 96 | GP,M,15,U,LE3,T,2,2,services,health,reputation,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,3,4,1,1,4,2,11,12,12 97 | GP,F,15,R,GT3,T,1,1,at_home,other,home,mother,2,4,0,yes,yes,yes,yes,yes,yes,yes,no,3,1,2,1,1,1,4,13,13,13 98 | GP,M,16,R,GT3,T,4,3,services,other,reputation,mother,2,1,0,yes,yes,yes,yes,no,yes,yes,no,3,3,3,1,1,4,6,9,11,11 99 | GP,F,16,U,GT3,T,2,1,other,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,yes,4,3,5,1,1,5,0,13,12,12 100 | GP,F,16,U,GT3,T,4,4,other,other,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,2,1,4,12,13,13 101 | GP,F,16,U,GT3,T,4,3,other,at_home,course,mother,1,3,0,yes,yes,no,no,yes,yes,yes,no,5,3,5,1,1,3,2,12,13,13 102 | GP,M,16,U,GT3,T,4,4,services,services,other,mother,1,1,0,yes,yes,no,yes,yes,yes,yes,no,4,5,5,5,5,4,12,9,9,8 103 | GP,M,16,U,GT3,T,4,4,services,teacher,other,father,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,4,3,1,1,4,0,16,16,16 104 | GP,M,15,U,GT3,T,4,4,services,other,course,mother,1,1,0,no,yes,yes,yes,no,yes,yes,no,5,3,3,1,1,5,2,12,13,12 105 | GP,F,15,U,GT3,T,3,2,services,other,home,mother,2,2,0,yes,yes,no,no,yes,yes,yes,no,4,3,5,1,1,2,16,11,10,10 106 | GP,M,15,U,GT3,A,3,4,services,other,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,1,1,1,0,16,16,16 107 | GP,F,15,U,GT3,A,3,3,other,health,reputation,father,1,4,0,yes,no,no,no,yes,yes,no,no,4,3,3,1,1,4,10,10,10,10 108 | GP,F,15,U,GT3,T,2,2,other,other,course,mother,1,4,0,yes,yes,no,no,yes,yes,yes,no,5,1,2,1,1,3,4,10,10,10 109 | GP,M,16,U,GT3,T,3,3,services,other,home,father,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,4,13,14,14 110 | GP,M,15,R,GT3,T,4,4,other,other,home,father,4,4,0,no,yes,no,yes,yes,yes,yes,yes,1,3,5,3,5,1,8,12,10,11 111 | GP,F,16,U,LE3,T,4,4,health,health,other,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,5,4,5,1,1,4,2,15,15,14 112 | GP,M,15,U,LE3,A,4,4,teacher,teacher,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,5,3,1,1,4,4,13,14,14 113 | GP,F,16,R,GT3,T,3,3,services,other,reputation,father,1,3,0,yes,yes,no,yes,yes,yes,yes,no,4,1,2,1,1,2,4,11,11,11 114 | GP,F,16,U,GT3,T,2,2,at_home,other,home,mother,1,2,1,yes,no,no,yes,yes,yes,yes,no,3,1,2,1,1,5,12,8,10,10 115 | GP,M,15,U,LE3,T,4,2,teacher,other,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,5,2,1,1,3,10,18,17,18 116 | GP,M,15,R,GT3,T,2,1,health,services,reputation,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,4,2,1,1,5,4,10,9,10 117 | GP,M,16,U,GT3,T,4,4,teacher,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,1,2,5,6,16,14,14 118 | GP,M,15,U,GT3,T,4,4,other,teacher,reputation,father,2,2,0,no,yes,no,yes,yes,yes,no,no,4,4,3,1,1,2,4,16,15,16 119 | GP,M,16,U,GT3,T,3,3,other,services,home,father,2,1,0,no,no,no,yes,yes,yes,yes,no,5,4,2,1,1,5,6,14,14,15 120 | GP,M,17,R,GT3,T,1,3,other,other,course,father,3,2,1,no,yes,no,yes,yes,yes,yes,no,5,2,4,1,4,5,14,12,11,11 121 | GP,M,15,U,GT3,T,3,4,other,other,reputation,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,3,1,2,4,2,14,13,14 122 | GP,F,15,U,GT3,T,1,2,at_home,services,course,mother,1,2,0,no,no,no,no,no,yes,yes,no,3,2,3,1,2,1,0,14,14,14 123 | GP,M,15,U,GT3,T,2,2,services,services,home,father,1,4,0,no,yes,no,yes,yes,yes,yes,no,5,5,4,1,2,5,6,14,13,13 124 | GP,F,16,U,LE3,T,2,4,other,health,course,father,2,2,0,no,yes,no,yes,yes,yes,yes,yes,4,2,2,1,2,5,2,14,12,13 125 | GP,M,16,U,GT3,T,4,4,health,other,course,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,3,4,4,1,4,5,4,12,13,13 126 | GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,no,no,no,yes,yes,yes,yes,5,4,4,1,1,5,0,12,11,11 127 | GP,M,15,U,GT3,T,3,4,services,services,home,father,1,1,0,yes,no,no,no,yes,yes,yes,no,5,5,5,3,2,5,2,9,9,9 128 | GP,F,15,U,LE3,A,3,4,other,other,home,mother,1,2,0,yes,no,no,yes,yes,yes,yes,yes,5,3,2,1,1,1,0,10,11,11 129 | GP,F,19,U,GT3,T,0,1,at_home,other,course,other,1,2,2,no,yes,no,no,no,no,no,no,3,4,2,1,1,5,0,9,10,11 130 | GP,M,16,R,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,3,5,5,2,5,4,8,14,14,15 131 | GP,M,16,U,GT3,T,2,3,other,other,course,mother,2,3,0,no,yes,no,no,no,yes,yes,yes,3,2,3,2,2,1,4,13,12,13 132 | GP,F,15,R,GT3,T,3,4,services,teacher,course,father,2,3,0,no,yes,no,no,yes,yes,yes,yes,4,2,2,2,2,5,0,10,11,12 133 | GP,F,18,U,GT3,T,2,1,services,other,reputation,mother,1,2,3,no,yes,no,yes,yes,no,yes,yes,5,4,5,1,3,5,10,10,9,8 134 | GP,F,17,U,LE3,A,2,1,other,other,course,mother,3,1,0,no,yes,no,no,yes,yes,yes,no,3,2,2,1,2,5,8,11,10,11 135 | GP,F,15,U,GT3,T,1,1,at_home,other,course,mother,3,1,0,no,yes,no,yes,no,yes,yes,yes,4,3,3,1,2,4,6,11,12,13 136 | GP,F,17,U,LE3,T,2,2,other,other,course,father,1,1,0,no,yes,no,no,yes,yes,yes,yes,3,4,4,1,3,5,2,13,12,12 137 | GP,F,16,U,GT3,A,3,4,services,other,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,2,1,1,4,5,12,15,13,14 138 | GP,M,16,U,GT3,T,2,1,at_home,other,course,mother,4,1,0,no,no,no,no,yes,yes,no,no,3,2,1,1,1,2,4,9,9,11 139 | GP,F,16,U,GT3,A,2,2,other,other,home,mother,1,1,1,no,no,no,no,yes,yes,no,no,5,3,4,1,1,5,12,13,11,11 140 | GP,M,15,R,GT3,T,3,4,at_home,teacher,course,mother,4,2,0,no,yes,no,no,yes,yes,no,yes,5,3,3,1,1,5,2,12,11,11 141 | GP,F,15,U,GT3,T,4,4,services,at_home,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,1,1,5,4,13,14,15 142 | GP,M,17,R,GT3,T,3,4,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,no,5,4,5,2,4,5,2,10,9,10 143 | GP,F,16,R,GT3,T,1,1,at_home,other,course,mother,4,2,0,no,yes,no,no,yes,yes,no,no,5,1,3,1,1,3,0,14,13,13 144 | GP,M,18,U,LE3,T,3,1,services,services,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,yes,3,3,4,4,5,4,2,11,11,12 145 | GP,F,18,U,GT3,A,3,2,other,services,course,other,1,3,0,no,yes,no,yes,no,yes,yes,yes,4,3,3,5,1,5,10,12,11,11 146 | GP,F,16,R,GT3,T,1,1,other,services,reputation,mother,2,1,0,no,yes,no,yes,yes,yes,no,yes,3,3,3,1,2,1,8,12,11,11 147 | GP,F,16,U,GT3,A,3,3,other,other,course,other,2,1,0,no,yes,no,yes,no,yes,yes,yes,4,3,2,1,1,5,4,9,9,10 148 | GP,M,16,U,LE3,T,1,1,services,other,course,mother,1,2,2,no,no,no,no,yes,yes,no,yes,4,4,4,1,3,5,0,10,10,10 149 | GP,F,15,U,GT3,T,4,4,teacher,teacher,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,4,3,2,1,1,5,6,13,14,14 150 | GP,F,15,R,GT3,T,1,1,other,other,course,mother,3,1,1,no,no,no,yes,yes,yes,yes,yes,5,5,5,1,1,1,2,8,9,9 151 | GP,M,15,U,GT3,T,4,3,teacher,services,course,father,2,4,0,yes,yes,no,no,yes,yes,yes,no,2,2,2,1,1,3,6,9,11,11 152 | GP,F,15,U,GT3,A,3,3,services,services,home,mother,1,2,0,no,no,no,no,no,yes,no,yes,1,3,2,2,3,1,24,9,8,9 153 | GP,M,16,U,GT3,T,4,4,services,services,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,3,5,0,15,13,13 154 | GP,M,16,U,LE3,T,2,2,services,services,reputation,father,2,1,0,no,yes,no,yes,yes,yes,yes,no,2,3,3,2,2,2,4,12,11,11 155 | GP,F,15,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,4,2,2,1,1,5,2,13,13,13 156 | GP,F,16,U,LE3,T,1,1,at_home,at_home,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,4,4,3,3,1,4,10,11,11 157 | GP,M,17,U,GT3,T,2,1,other,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,5,4,5,1,2,5,22,9,7,6 158 | GP,F,15,U,GT3,T,1,1,other,services,course,father,1,2,0,no,yes,no,no,yes,yes,yes,no,4,4,2,1,2,5,0,12,12,12 159 | GP,F,15,U,LE3,A,2,1,at_home,other,home,mother,2,1,0,no,yes,no,yes,yes,no,yes,yes,4,4,2,1,1,5,0,11,10,10 160 | GP,F,15,U,GT3,T,3,2,health,services,home,father,1,2,1,no,yes,no,no,yes,yes,yes,no,3,3,2,1,1,3,2,11,11,11 161 | GP,F,15,U,GT3,T,1,2,at_home,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,no,4,3,2,1,1,5,6,13,12,13 162 | GP,F,15,U,GT3,T,1,2,at_home,services,course,father,1,2,0,no,no,no,no,no,yes,no,yes,2,3,4,2,4,1,6,11,11,11 163 | GP,M,16,U,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,yes,no,no,yes,no,yes,yes,3,3,2,2,1,5,16,9,9,8 164 | GP,M,15,U,LE3,A,2,1,services,other,course,mother,4,1,0,no,no,no,no,yes,yes,yes,no,4,5,5,2,5,5,0,12,11,11 165 | GP,M,18,U,LE3,T,1,1,other,other,course,mother,1,1,2,no,no,no,no,yes,no,yes,yes,2,3,5,2,5,4,0,11,9,0 166 | GP,M,16,U,LE3,T,2,1,at_home,other,course,mother,1,1,1,no,no,no,yes,yes,yes,no,yes,4,4,4,3,5,5,6,9,10,10 167 | GP,F,15,R,GT3,T,3,3,services,services,reputation,other,2,3,0,no,yes,yes,yes,yes,yes,yes,yes,4,2,1,2,3,3,2,13,13,13 168 | GP,M,19,U,GT3,T,3,2,services,at_home,home,mother,1,1,0,no,yes,no,no,yes,no,yes,yes,4,5,4,1,1,4,6,11,9,11 169 | GP,F,17,U,GT3,T,4,4,other,teacher,course,mother,1,1,0,yes,yes,no,no,yes,yes,no,yes,4,2,1,1,1,4,0,13,13,13 170 | GP,M,15,R,GT3,T,2,3,at_home,services,course,mother,1,2,0,yes,no,yes,yes,yes,yes,no,no,4,4,4,1,1,1,0,7,8,8 171 | GP,M,17,R,LE3,T,1,2,other,other,reputation,mother,1,1,3,no,no,no,no,yes,yes,no,no,2,2,2,3,3,5,14,9,8,10 172 | GP,F,18,R,GT3,T,1,1,at_home,other,course,mother,3,1,3,no,yes,no,yes,no,yes,no,no,5,2,5,1,5,4,6,11,10,11 173 | GP,M,16,R,GT3,T,2,2,at_home,other,course,mother,3,1,0,no,no,no,no,no,yes,no,no,4,2,2,1,2,3,4,12,10,11 174 | GP,M,16,U,GT3,T,3,3,other,services,course,father,1,2,1,no,yes,no,no,yes,yes,yes,yes,4,5,5,4,4,5,0,10,10,1 175 | GP,M,16,U,LE3,T,1,2,health,services,course,mother,2,1,2,no,no,no,no,no,yes,yes,no,4,4,5,3,5,5,0,9,8,10 176 | GP,M,17,R,LE3,T,2,1,at_home,other,course,mother,2,1,1,no,no,yes,yes,yes,no,yes,yes,3,3,2,2,2,5,8,8,8,9 177 | GP,M,17,R,GT3,T,3,2,other,other,course,mother,2,2,2,yes,yes,no,no,yes,yes,yes,yes,4,4,4,1,4,3,4,7,6,8 178 | GP,M,15,U,LE3,T,1,2,other,other,course,mother,2,1,0,no,no,no,yes,yes,yes,no,no,4,4,4,2,4,5,2,8,9,10 179 | GP,M,16,U,GT3,T,1,3,at_home,services,course,father,1,1,1,no,no,no,no,yes,no,yes,no,5,3,3,1,4,2,2,9,8,8 180 | GP,M,17,R,LE3,T,1,1,other,services,course,mother,4,2,0,no,no,no,yes,yes,no,no,yes,5,3,5,1,5,5,0,8,8,8 181 | GP,M,17,U,GT3,T,3,2,services,services,course,mother,2,1,3,no,yes,no,yes,no,no,no,no,4,5,2,1,1,2,10,8,7,8 182 | GP,M,16,U,GT3,T,2,2,other,other,course,father,1,2,0,no,no,no,no,yes,no,yes,no,4,3,5,2,4,4,0,9,10,11 183 | GP,F,16,U,GT3,T,4,2,health,services,home,father,1,2,0,no,no,no,no,yes,yes,yes,yes,4,2,3,1,1,3,0,17,17,18 184 | GP,F,16,U,GT3,T,2,2,other,other,home,mother,1,2,0,no,yes,no,no,no,yes,yes,no,5,1,5,1,1,4,0,12,12,13 185 | GP,F,16,U,GT3,T,4,4,health,health,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,4,2,1,1,3,0,16,16,17 186 | GP,M,16,U,GT3,T,3,4,other,other,course,father,3,1,1,no,yes,no,yes,no,yes,yes,no,3,4,5,2,4,2,4,9,9,10 187 | GP,M,16,U,GT3,T,1,0,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,2,1,1,3,0,16,17,18 188 | GP,M,17,U,LE3,T,4,4,teacher,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,4,4,1,3,5,0,11,9,10 189 | GP,F,16,U,GT3,T,1,3,at_home,services,home,mother,1,2,0,no,no,no,yes,no,yes,yes,yes,4,3,5,1,1,3,0,14,13,13 190 | GP,F,16,U,LE3,T,3,3,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,4,5,1,1,4,0,14,14,15 191 | GP,M,17,U,LE3,T,4,3,teacher,other,course,mother,2,2,0,no,no,no,yes,yes,yes,yes,no,4,4,4,4,4,4,0,10,11,11 192 | GP,F,16,U,GT3,T,2,2,services,other,reputation,mother,2,2,0,no,no,no,yes,no,yes,yes,no,3,4,4,1,4,5,0,13,12,14 193 | GP,M,17,U,GT3,T,3,3,other,other,reputation,father,1,2,0,no,no,no,yes,no,yes,yes,no,4,3,4,1,4,4,4,11,9,10 194 | GP,M,16,R,GT3,T,4,2,teacher,services,other,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,3,4,3,8,10,9,11 195 | GP,M,17,U,GT3,T,4,3,other,other,course,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,yes,5,2,3,1,1,2,4,11,11,13 196 | GP,M,16,U,GT3,T,4,3,teacher,other,home,mother,1,2,0,no,yes,yes,yes,yes,yes,yes,no,3,4,3,2,3,3,4,11,10,11 197 | GP,M,16,U,GT3,T,3,3,services,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,2,3,1,2,3,0,11,12,13 198 | GP,F,17,U,GT3,T,2,4,services,services,reputation,father,1,2,0,no,yes,no,yes,yes,yes,no,no,5,4,2,2,3,5,0,17,18,17 199 | GP,F,17,U,LE3,T,3,3,other,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,3,3,2,3,1,32,14,13,14 200 | GP,F,16,U,GT3,T,3,2,other,other,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,1,2,2,1,2,1,8,14,15,16 201 | GP,M,17,U,GT3,T,3,3,services,services,other,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,4,2,3,4,6,11,13,14 202 | GP,M,16,U,GT3,T,1,2,services,services,other,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,3,3,3,1,2,3,0,10,9,11 203 | GP,M,16,U,LE3,T,2,1,other,other,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,2,3,1,2,5,0,13,14,16 204 | GP,F,17,U,GT3,A,3,3,health,other,reputation,mother,1,2,0,no,yes,no,no,no,yes,yes,yes,3,3,3,1,3,3,10,12,13,14 205 | GP,M,17,R,GT3,T,1,2,at_home,other,home,mother,1,2,0,no,no,no,no,yes,yes,no,no,3,1,3,1,5,3,6,9,9,10 206 | GP,F,16,U,GT3,T,2,3,services,services,course,mother,1,2,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,2,6,12,12,13 207 | GP,F,17,U,GT3,T,1,1,at_home,services,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,3,1,1,3,0,12,11,12 208 | GP,M,17,U,GT3,T,1,2,at_home,services,other,other,2,2,0,no,no,no,yes,no,yes,yes,no,4,4,4,4,5,5,16,10,11,12 209 | GP,M,16,R,GT3,T,3,3,services,services,reputation,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,4,3,2,3,4,5,0,11,10,10 210 | GP,M,16,U,GT3,T,2,3,other,other,home,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,3,3,1,1,3,0,13,12,12 211 | GP,F,17,U,LE3,T,2,4,services,services,course,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,2,1,1,5,8,14,15,16 212 | GP,M,17,U,GT3,T,4,4,services,teacher,home,mother,1,1,0,no,no,no,no,yes,yes,yes,no,5,2,3,1,2,5,4,13,13,14 213 | GP,M,16,R,LE3,T,3,3,teacher,other,home,father,3,1,0,no,yes,no,yes,yes,yes,yes,no,3,3,4,3,5,3,16,10,11,12 214 | GP,F,17,U,GT3,T,4,4,services,teacher,home,mother,2,1,1,no,yes,no,no,yes,yes,yes,no,4,2,4,2,3,2,30,14,15,16 215 | GP,F,16,U,LE3,T,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,5,2,1,2,3,0,11,10,11 216 | GP,F,16,U,GT3,T,4,3,health,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,5,1,5,2,2,14,14,15 217 | GP,F,16,U,GT3,T,2,3,other,other,reputation,mother,1,2,0,yes,yes,no,yes,yes,yes,no,no,4,4,3,1,3,4,4,11,12,12 218 | GP,F,17,U,GT3,T,1,1,other,other,course,mother,1,2,0,no,yes,no,no,no,yes,no,no,4,4,4,1,3,1,0,14,15,15 219 | GP,F,17,R,GT3,T,2,2,other,other,reputation,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,5,3,2,1,2,3,21,13,13,13 220 | GP,F,16,R,GT3,T,2,2,services,services,reputation,mother,2,4,0,no,yes,no,yes,no,yes,yes,no,5,3,5,1,1,5,6,13,13,13 221 | GP,F,17,U,GT3,T,3,4,at_home,services,home,mother,1,3,1,no,yes,yes,no,yes,yes,yes,yes,4,4,3,3,4,5,14,8,9,8 222 | GP,F,16,U,GT3,A,3,1,services,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,2,3,3,2,2,4,2,11,11,12 223 | GP,F,16,U,GT3,T,4,3,teacher,other,other,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,1,3,2,1,1,1,4,14,15,15 224 | GP,F,16,U,GT3,T,1,1,at_home,other,home,mother,2,1,0,no,yes,no,no,yes,yes,no,no,4,3,2,1,4,5,2,12,13,13 225 | GP,F,17,R,GT3,T,4,3,teacher,other,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,yes,4,4,2,1,1,4,0,11,12,12 226 | GP,F,19,U,GT3,T,3,3,other,other,reputation,other,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,2,3,4,12,12,12 227 | GP,M,17,U,LE3,T,4,4,services,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,5,3,5,4,5,3,15,13,12,12 228 | GP,F,16,U,GT3,A,2,2,other,other,reputation,mother,1,2,0,yes,yes,no,no,yes,yes,yes,no,3,3,4,1,1,4,0,13,13,13 229 | GP,M,18,U,GT3,T,2,2,services,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,4,4,2,4,5,10,12,11,11 230 | GP,F,17,R,LE3,T,4,4,services,other,other,mother,1,1,0,no,yes,no,no,yes,yes,no,no,5,2,1,1,2,3,6,12,11,11 231 | GP,F,17,U,LE3,T,3,2,other,other,reputation,mother,2,2,0,no,no,no,no,yes,yes,yes,no,4,4,4,1,3,1,2,14,16,15 232 | GP,F,17,U,GT3,T,4,3,other,other,reputation,mother,1,2,0,no,no,no,no,yes,yes,yes,yes,3,4,5,2,4,1,16,11,9,10 233 | GP,M,18,U,LE3,T,3,3,services,health,home,father,1,2,0,no,yes,no,no,yes,yes,yes,no,3,2,4,2,4,4,10,10,10,10 234 | GP,F,17,U,GT3,T,2,3,at_home,other,home,father,2,1,0,no,yes,no,no,yes,yes,no,no,3,3,3,1,4,3,4,12,13,13 235 | GP,F,17,U,GT3,T,2,2,at_home,at_home,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,1,4,0,12,12,13 236 | GP,F,17,R,GT3,T,2,1,at_home,services,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,5,1,2,5,0,11,10,11 237 | GP,F,17,U,GT3,T,1,1,at_home,other,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,no,yes,4,3,4,1,1,5,12,12,12,12 238 | GP,F,16,U,GT3,T,2,3,services,teacher,other,mother,1,2,0,yes,no,no,no,yes,yes,yes,no,2,3,1,1,1,3,0,13,13,14 239 | GP,M,18,U,GT3,T,2,2,other,other,home,mother,2,2,3,no,yes,yes,no,yes,yes,yes,no,3,3,3,5,5,4,9,10,9,10 240 | GP,F,16,U,GT3,T,4,4,teacher,services,home,mother,1,3,0,no,yes,no,yes,no,yes,yes,no,5,3,2,1,1,5,4,15,16,16 241 | GP,F,18,R,GT3,T,3,1,other,other,reputation,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,1,4,4,8,8,8 242 | GP,F,17,U,GT3,T,3,2,other,other,course,mother,1,2,0,no,no,no,yes,no,yes,yes,no,5,3,4,1,3,3,2,17,18,17 243 | GP,M,17,U,LE3,T,2,3,services,services,reputation,father,1,2,0,no,yes,no,no,no,yes,yes,no,5,3,3,1,3,3,0,10,11,11 244 | GP,M,18,U,LE3,T,2,1,at_home,other,course,mother,4,2,0,yes,yes,no,yes,yes,yes,yes,yes,4,3,2,4,5,3,2,9,10,11 245 | GP,F,17,U,GT3,A,2,1,other,other,course,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,0,15,15,16 246 | GP,F,17,U,LE3,T,4,3,health,other,reputation,father,1,2,0,no,no,no,yes,yes,yes,yes,yes,3,2,3,1,2,3,0,14,12,12 247 | GP,M,17,R,GT3,T,2,2,other,other,course,father,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,5,2,1,1,1,0,12,13,13 248 | GP,M,17,U,GT3,T,4,4,teacher,teacher,reputation,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,yes,4,5,5,1,3,2,0,13,13,13 249 | GP,M,16,U,GT3,T,4,4,health,other,reputation,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,4,2,4,1,0,13,13,14 250 | GP,M,16,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,3,4,2,1,1,5,2,9,9,9 251 | GP,M,16,U,GT3,T,3,2,at_home,other,reputation,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,3,2,0,12,12,12 252 | GP,M,17,U,LE3,T,2,2,other,other,home,father,1,2,0,no,no,no,yes,no,yes,yes,yes,4,4,2,5,5,4,0,16,16,16 253 | GP,F,16,U,GT3,T,2,1,other,other,home,mother,1,1,0,no,no,no,no,yes,yes,yes,yes,4,5,2,1,1,5,4,9,10,10 254 | GP,F,16,U,GT3,A,4,1,other,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,2,5,0,14,13,13 255 | GP,F,18,U,LE3,A,2,4,services,other,course,mother,2,2,1,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,3,18,10,10,10 256 | GP,F,18,U,LE3,T,2,2,at_home,services,course,mother,1,2,1,no,yes,no,no,no,yes,yes,yes,5,3,1,1,1,5,16,9,8,10 257 | GP,F,18,U,GT3,T,3,3,other,other,course,mother,2,1,1,no,no,no,no,yes,no,yes,no,4,1,1,1,1,3,14,8,7,7 258 | GP,M,18,U,GT3,T,2,2,other,at_home,course,other,1,1,1,no,yes,no,yes,no,no,yes,yes,4,4,3,2,2,1,26,7,8,8 259 | GP,M,17,U,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,yes,no,yes,no,yes,yes,no,4,2,1,1,2,5,6,10,8,9 260 | GP,F,17,U,GT3,T,3,2,other,other,course,father,1,2,0,no,no,no,yes,yes,yes,no,no,5,4,2,1,1,3,4,14,14,15 261 | GP,F,17,U,LE3,T,1,1,at_home,at_home,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,2,1,2,4,10,11,10,10 262 | GP,F,16,U,GT3,T,1,2,other,other,course,mother,1,1,0,no,no,no,no,yes,no,yes,no,5,3,5,1,2,5,4,12,11,11 263 | GP,F,17,R,GT3,T,2,1,at_home,services,course,mother,3,2,0,no,no,no,yes,yes,yes,no,no,2,1,1,1,1,3,2,13,13,13 264 | GP,F,17,R,LE3,A,1,4,other,other,course,other,4,1,1,no,yes,no,no,yes,yes,yes,no,5,5,4,1,1,5,14,9,9,8 265 | GP,M,18,U,GT3,T,2,2,other,services,reputation,father,1,2,0,no,no,no,no,yes,no,yes,no,5,5,4,3,5,2,16,8,7,8 266 | GP,F,17,U,LE3,A,2,2,other,other,home,mother,1,1,1,no,yes,no,no,no,no,yes,no,3,1,2,1,1,1,8,11,9,10 267 | GP,F,17,R,LE3,T,1,1,at_home,other,course,mother,2,3,0,no,no,no,yes,yes,yes,yes,no,4,3,3,1,3,5,4,15,14,15 268 | GP,F,17,U,LE3,A,4,2,teacher,other,course,mother,1,2,0,no,yes,no,yes,yes,yes,no,no,4,3,2,1,1,4,4,15,14,14 269 | GP,M,17,U,LE3,T,4,3,health,other,course,mother,2,2,0,no,no,no,yes,yes,yes,yes,yes,2,5,5,1,4,5,8,15,15,15 270 | GP,M,17,R,LE3,A,4,4,teacher,other,course,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,3,3,3,2,3,4,0,12,12,12 271 | GP,M,16,U,LE3,T,4,3,teacher,other,course,mother,1,1,0,no,no,no,yes,no,yes,yes,no,5,4,5,1,1,3,7,14,14,15 272 | GP,M,16,U,GT3,T,4,4,services,services,course,mother,1,1,0,no,no,yes,yes,yes,yes,yes,no,5,3,2,1,2,5,4,14,15,15 273 | GP,F,17,U,GT3,T,4,4,teacher,services,course,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,5,3,1,1,4,5,2,11,11,12 274 | GP,M,17,R,GT3,T,1,1,other,other,home,father,2,3,0,no,no,no,no,no,yes,yes,yes,4,3,3,1,1,1,2,13,14,15 275 | GP,F,17,U,GT3,T,3,3,services,other,home,mother,2,3,0,no,yes,no,no,yes,yes,yes,yes,4,2,2,2,3,5,10,11,11,11 276 | GP,F,17,U,GT3,T,1,1,at_home,other,course,mother,1,2,0,yes,no,no,no,no,yes,no,yes,4,3,2,1,1,4,10,10,9,10 277 | GP,F,18,U,GT3,T,2,1,other,other,course,other,2,3,0,no,yes,no,no,no,yes,yes,yes,4,4,4,1,1,3,10,12,10,11 278 | GP,M,16,U,GT3,T,2,1,other,other,course,mother,3,1,0,no,no,no,no,yes,yes,yes,no,4,3,3,1,1,4,7,15,16,16 279 | GP,F,17,U,GT3,T,1,1,other,services,course,father,1,2,0,no,yes,no,no,yes,yes,no,no,4,3,4,1,2,5,4,11,10,11 280 | GP,M,17,U,GT3,T,2,3,other,other,course,father,2,1,0,no,no,no,no,yes,yes,yes,no,5,2,2,1,1,2,2,9,12,13 281 | GP,M,22,U,GT3,T,3,1,services,services,other,mother,1,1,3,no,no,no,no,no,no,yes,yes,5,4,5,5,5,1,12,7,8,5 282 | GP,M,18,R,LE3,T,3,3,other,services,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,3,5,8,10,9,10 283 | GP,M,16,U,GT3,T,0,2,other,other,other,mother,1,1,0,no,no,no,no,no,yes,yes,no,4,3,2,2,4,5,0,11,12,11 284 | GP,M,18,U,GT3,T,3,2,services,other,course,mother,2,1,0,no,no,no,no,yes,no,yes,no,4,4,5,2,4,5,8,7,8,7 285 | GP,M,16,U,GT3,T,3,3,at_home,other,reputation,other,3,2,1,yes,yes,no,no,no,yes,yes,no,5,3,3,1,3,2,4,9,11,10 286 | GP,M,18,U,GT3,T,2,1,services,services,other,mother,1,1,2,no,no,no,no,no,no,yes,no,3,2,5,2,5,5,4,7,8,6 287 | GP,M,16,R,GT3,T,2,1,other,other,course,mother,2,1,0,no,no,no,yes,no,yes,no,no,3,3,2,1,3,3,2,14,13,12 288 | GP,M,17,R,GT3,T,2,1,other,other,course,mother,1,1,0,no,no,no,no,no,yes,yes,no,4,4,2,2,4,5,0,12,12,13 289 | GP,M,17,U,LE3,T,1,1,health,other,course,mother,2,1,1,no,yes,no,yes,yes,yes,yes,no,4,4,4,1,2,5,0,9,10,10 290 | GP,F,18,U,LE3,A,2,1,other,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,yes,4,3,4,1,3,5,2,12,12,13 291 | GP,F,17,U,LE3,T,4,2,teacher,services,reputation,mother,1,4,0,no,yes,no,yes,yes,yes,yes,no,4,2,3,1,1,4,2,14,15,17 292 | GP,F,19,U,GT3,T,2,2,services,services,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,5,0,10,10,11 293 | GP,M,18,U,LE3,T,2,1,services,other,course,mother,3,2,1,no,no,no,yes,no,no,yes,no,4,4,5,4,4,5,4,11,10,11 294 | GP,F,17,R,GT3,T,4,2,other,other,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,4,3,4,1,3,5,2,11,12,14 295 | GP,F,18,U,LE3,T,1,1,other,at_home,home,mother,1,3,0,no,yes,no,no,no,yes,no,no,4,4,3,2,3,3,4,11,12,14 296 | GP,F,18,R,GT3,T,2,2,other,other,home,mother,1,2,0,yes,no,no,no,yes,yes,no,no,3,2,3,1,1,5,4,11,11,13 297 | GP,M,19,U,LE3,A,4,3,services,at_home,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,1,1,1,1,4,11,13,14 298 | GP,M,18,U,GT3,T,2,1,other,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,2,4,1,2,4,2,16,16,16 299 | GP,M,17,R,GT3,T,2,2,other,services,other,mother,2,1,0,no,no,no,no,no,no,no,no,5,2,2,1,1,4,0,9,10,10 300 | GP,F,17,U,LE3,T,2,2,services,services,course,father,1,4,0,no,no,no,yes,yes,yes,yes,yes,3,4,1,1,1,2,2,10,11,12 301 | GP,F,20,R,GT3,T,2,1,other,other,course,other,2,2,0,no,yes,yes,yes,yes,no,yes,yes,1,2,3,1,2,2,8,10,12,12 302 | GP,F,18,U,GT3,T,4,3,services,other,home,father,1,2,0,no,yes,no,no,yes,yes,yes,yes,3,1,2,1,3,2,2,15,15,15 303 | GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,no,4,3,2,1,1,3,2,10,10,11 304 | GP,M,18,R,GT3,T,3,2,other,other,course,mother,1,3,0,no,no,no,yes,no,yes,no,no,5,3,2,1,1,3,2,10,11,12 305 | GP,F,17,U,GT3,T,3,3,other,other,home,mother,1,3,0,no,no,no,yes,no,yes,no,no,3,2,3,1,1,4,2,15,12,13 306 | GP,F,18,U,GT3,T,2,2,at_home,services,home,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,3,1,1,3,0,11,12,13 307 | GP,M,17,U,GT3,T,2,2,other,other,home,father,2,1,0,no,no,no,no,yes,no,yes,no,4,4,4,2,3,4,8,8,8,9 308 | GP,M,18,R,LE3,A,3,4,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,5,3,4,1,6,15,16,16 309 | GP,M,17,U,GT3,T,3,1,services,other,other,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,4,4,3,4,5,0,11,11,14 310 | GP,F,18,R,GT3,T,4,4,teacher,other,reputation,mother,2,2,0,no,no,no,yes,yes,yes,yes,no,4,3,4,2,2,4,8,10,11,12 311 | GP,M,18,U,GT3,T,4,2,health,other,reputation,father,1,2,0,no,yes,no,yes,yes,yes,yes,yes,5,4,5,1,3,5,4,10,12,14 312 | GP,F,18,R,GT3,T,2,1,other,other,reputation,mother,2,2,0,no,yes,no,no,yes,no,yes,yes,4,3,5,1,2,3,12,8,9,10 313 | GP,F,19,U,GT3,T,3,3,other,services,home,other,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,5,3,3,5,16,11,12,12 314 | GP,F,18,U,GT3,T,2,3,other,services,reputation,father,1,4,0,no,yes,no,yes,yes,yes,yes,yes,4,5,5,1,3,2,10,16,16,16 315 | GP,F,18,U,LE3,T,1,1,other,other,home,mother,2,2,0,no,yes,no,no,no,yes,no,no,4,4,3,1,1,3,2,13,13,13 316 | GP,M,17,R,GT3,T,1,2,at_home,at_home,home,mother,1,2,0,no,yes,no,yes,no,yes,no,yes,3,5,2,2,2,1,2,16,17,18 317 | GP,F,18,U,GT3,T,2,1,other,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,2,5,1,2,1,8,14,14,15 318 | GP,F,17,U,GT3,T,2,4,at_home,health,reputation,mother,2,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,1,1,6,15,16,16 319 | GP,F,17,U,LE3,T,2,2,services,other,course,mother,2,2,0,yes,yes,no,no,yes,yes,yes,yes,4,4,4,2,3,5,6,12,12,12 320 | GP,F,18,R,GT3,A,3,2,other,services,home,mother,2,2,0,no,no,no,no,no,no,yes,yes,4,1,1,1,1,5,15,12,9,10 321 | GP,M,18,U,GT3,T,4,4,teacher,services,home,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,3,2,4,1,4,3,6,11,12,12 322 | GP,F,18,U,GT3,T,4,4,health,health,reputation,father,1,2,1,yes,yes,no,yes,yes,yes,yes,yes,2,4,4,1,1,4,2,14,12,13 323 | GP,F,17,U,GT3,T,2,2,other,services,reputation,father,3,3,0,no,yes,no,no,yes,yes,yes,yes,4,2,3,1,1,1,8,13,15,15 324 | GP,F,19,R,GT3,T,3,2,services,services,reputation,father,1,2,1,yes,yes,no,no,yes,no,yes,no,3,3,3,4,3,3,0,9,8,10 325 | GP,M,18,U,LE3,T,4,3,teacher,services,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,4,2,3,1,2,1,0,10,10,10 326 | GP,M,18,U,GT3,T,1,2,at_home,other,home,other,2,1,0,no,no,no,no,no,no,yes,no,3,4,4,2,4,4,10,10,10,11 327 | GP,M,17,U,LE3,A,4,1,services,other,home,mother,2,1,0,no,no,no,yes,yes,yes,yes,yes,4,5,4,2,4,5,22,11,11,10 328 | GP,M,17,U,LE3,A,3,2,teacher,services,home,mother,1,1,0,no,no,no,no,yes,yes,yes,no,4,4,4,3,4,3,18,13,13,13 329 | GP,F,18,R,LE3,T,1,1,at_home,other,reputation,mother,2,4,0,no,yes,no,yes,yes,yes,no,no,5,2,2,1,1,3,2,17,17,18 330 | GP,F,18,U,GT3,T,1,1,other,other,home,mother,2,2,0,yes,no,no,yes,yes,yes,yes,no,5,4,4,1,1,4,0,12,13,13 331 | GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,no,yes,yes,no,5,4,5,1,2,5,12,12,12,14 332 | GP,F,18,U,GT3,T,2,1,other,other,reputation,mother,2,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,1,1,1,5,10,12,13,14 333 | GP,M,17,U,GT3,T,1,1,other,other,reputation,father,1,2,0,no,no,no,no,no,yes,yes,no,4,3,3,1,2,4,0,12,12,12 334 | GP,F,18,U,GT3,T,2,2,at_home,at_home,other,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,2,2,0,18,18,18 335 | GP,F,17,U,GT3,T,1,1,services,teacher,reputation,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,3,0,13,13,14 336 | GP,M,18,U,GT3,T,2,1,services,services,reputation,mother,1,3,0,no,no,no,yes,yes,yes,yes,no,4,2,4,1,3,2,0,14,15,15 337 | GP,M,18,U,LE3,A,4,4,teacher,teacher,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,4,3,1,1,2,0,17,17,17 338 | GP,M,18,U,GT3,T,4,2,teacher,other,home,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,2,1,4,5,2,15,16,16 339 | GP,F,17,U,GT3,T,4,3,health,services,reputation,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,2,2,1,2,3,0,17,18,18 340 | GP,F,17,R,LE3,T,3,1,services,other,reputation,mother,2,4,0,no,yes,no,no,yes,yes,no,no,3,1,2,1,1,3,0,18,19,19 341 | GP,M,18,R,LE3,T,3,2,services,other,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,no,5,4,2,1,1,4,0,14,15,15 342 | GP,M,17,U,GT3,T,3,3,health,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,4,4,3,1,3,5,0,14,15,15 343 | GP,F,19,U,GT3,T,4,4,health,other,reputation,other,2,2,0,no,yes,no,yes,yes,yes,yes,no,2,3,4,2,3,2,2,14,13,13 344 | GP,F,18,U,LE3,T,4,3,other,other,home,other,2,2,0,no,yes,no,no,yes,yes,yes,yes,4,4,5,1,2,2,0,13,14,14 345 | GP,F,18,U,GT3,T,4,3,other,other,reputation,father,1,4,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,3,0,16,17,17 346 | GP,M,18,U,LE3,T,4,4,teacher,teacher,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,yes,1,4,2,2,2,1,0,18,18,17 347 | GP,F,18,U,LE3,A,4,4,health,other,home,mother,1,2,0,no,yes,yes,no,yes,yes,yes,yes,4,2,4,1,1,4,0,14,15,15 348 | GP,M,17,U,LE3,T,4,4,other,teacher,home,father,2,1,0,no,no,no,no,yes,yes,yes,no,4,1,1,2,2,5,0,12,13,13 349 | GP,F,17,R,GT3,T,4,4,services,services,reputation,mother,2,3,0,no,yes,no,yes,yes,yes,yes,no,5,3,4,1,1,5,0,7,7,8 350 | GP,F,17,U,GT3,T,4,2,other,other,reputation,mother,2,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,1,3,0,16,16,16 351 | GP,F,17,U,GT3,T,3,2,health,health,reputation,father,1,4,0,no,yes,no,yes,no,yes,yes,no,5,2,2,1,2,5,0,18,18,18 352 | GP,M,19,R,LE3,T,2,1,at_home,services,course,mother,2,3,1,no,no,no,yes,yes,yes,yes,yes,4,3,1,1,1,5,0,9,10,11 353 | GP,M,20,U,GT3,A,3,2,services,other,course,other,1,1,2,no,no,no,yes,yes,yes,no,no,5,5,3,1,1,5,0,14,15,15 354 | GP,M,19,R,GT3,T,3,3,other,services,reputation,father,1,2,0,no,no,no,yes,yes,yes,no,yes,4,5,3,1,2,5,0,10,10,11 355 | GP,F,18,U,GT3,T,1,4,other,teacher,home,mother,1,2,0,yes,yes,no,no,no,yes,no,yes,3,4,4,1,2,5,2,10,10,11 356 | GP,F,18,U,GT3,T,2,1,services,other,course,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,2,1,2,12,12,15 357 | GP,F,17,U,GT3,T,2,3,other,other,course,father,2,2,0,no,no,no,yes,yes,yes,yes,yes,4,2,1,1,1,3,2,11,12,14 358 | GP,F,17,R,GT3,T,4,4,teacher,teacher,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,4,4,4,1,1,5,2,15,16,17 359 | GP,F,18,U,GT3,T,4,3,other,other,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,3,4,1,1,5,2,14,15,17 360 | GP,F,18,U,LE3,T,4,3,health,services,course,mother,2,1,0,no,yes,no,no,yes,yes,yes,no,3,2,4,1,4,1,8,12,12,15 361 | GP,F,17,R,GT3,T,3,4,at_home,services,course,father,1,3,0,no,yes,no,yes,no,yes,yes,no,4,3,4,2,5,5,2,15,15,17 362 | GP,F,18,U,GT3,T,3,3,at_home,other,course,father,1,2,0,no,yes,no,no,yes,yes,yes,no,4,1,4,1,1,3,8,11,12,14 363 | GP,M,19,U,GT3,T,4,2,health,other,course,mother,2,2,0,no,yes,no,yes,yes,yes,yes,yes,5,4,4,1,1,1,9,11,10,10 364 | GP,F,18,U,GT3,T,4,4,teacher,other,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,4,4,3,3,5,0,12,11,13 365 | GP,F,18,U,GT3,T,3,4,other,other,course,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,5,4,4,1,1,1,4,11,12,14 366 | GP,F,17,U,GT3,T,4,4,health,health,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,5,3,4,1,2,5,2,14,15,17 367 | GP,F,17,U,GT3,A,4,3,services,services,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,5,2,2,1,2,5,14,15,14,17 368 | GP,F,17,U,LE3,A,3,3,services,other,home,mother,1,2,0,yes,yes,no,no,yes,yes,yes,no,5,3,3,1,1,5,0,12,12,13 369 | GP,F,17,U,LE3,T,2,1,other,other,home,father,1,2,0,no,no,no,yes,yes,yes,yes,no,4,2,3,2,2,2,2,11,12,14 370 | GP,M,18,U,LE3,T,4,4,other,other,reputation,father,1,1,0,no,yes,no,no,yes,yes,yes,no,4,2,5,3,4,5,2,8,9,11 371 | GP,F,19,U,GT3,T,1,1,other,other,course,other,3,3,0,no,no,no,yes,yes,no,no,yes,1,5,5,4,3,5,12,10,10,11 372 | GP,F,19,U,LE3,A,1,1,other,other,course,other,3,2,2,no,yes,no,no,no,yes,yes,yes,5,3,4,1,1,4,2,8,8,9 373 | GP,F,18,U,GT3,T,2,2,other,other,course,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,4,3,5,2,4,5,2,10,10,10 374 | GP,F,17,U,GT3,T,2,2,other,other,course,mother,1,2,0,no,yes,no,no,yes,yes,no,yes,4,2,2,1,1,3,4,14,13,13 375 | GP,F,17,R,LE3,T,2,2,services,services,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,3,3,2,2,2,3,0,11,11,10 376 | GP,F,17,U,GT3,T,3,1,services,services,course,father,1,3,0,no,yes,no,no,no,yes,yes,no,3,4,3,2,3,5,0,17,18,17 377 | GP,F,17,U,LE3,T,0,2,at_home,at_home,home,father,2,3,0,no,no,no,no,yes,yes,yes,no,3,3,3,2,3,2,0,14,14,15 378 | GP,F,18,U,GT3,T,1,1,other,other,home,mother,2,3,0,no,no,no,yes,yes,yes,yes,no,4,5,5,1,2,2,0,14,14,14 379 | GP,M,18,U,GT3,T,4,4,other,other,course,mother,1,3,0,no,no,no,yes,yes,yes,yes,no,4,3,3,2,2,3,0,13,14,13 380 | GP,M,17,U,GT3,T,3,3,other,services,reputation,mother,1,1,0,no,no,no,yes,no,yes,yes,no,4,3,5,3,5,5,0,17,18,17 381 | GP,M,17,R,GT3,T,2,2,services,other,course,mother,4,1,0,no,yes,no,no,yes,yes,yes,no,4,4,5,5,5,4,2,11,10,10 382 | GP,F,17,U,GT3,T,4,4,teacher,services,course,mother,1,3,0,no,yes,no,yes,yes,yes,yes,no,5,4,4,1,3,4,0,13,12,13 383 | GP,F,17,U,GT3,T,4,4,teacher,teacher,course,mother,2,3,0,no,yes,no,no,no,yes,yes,yes,4,3,3,1,2,4,4,15,14,15 384 | GP,F,17,U,GT3,T,3,3,at_home,other,course,mother,1,1,0,no,yes,yes,yes,yes,yes,yes,no,4,2,5,2,5,5,2,11,12,11 385 | GP,M,18,U,LE3,T,2,2,other,other,course,mother,1,4,0,no,yes,yes,yes,yes,yes,yes,no,4,5,5,2,4,5,0,11,11,12 386 | GP,M,19,R,GT3,T,3,2,at_home,services,home,other,1,1,0,no,yes,no,no,no,yes,no,yes,5,3,4,2,2,5,0,11,10,10 387 | GP,F,18,U,GT3,T,2,2,at_home,other,course,mother,4,2,0,no,no,no,yes,yes,yes,no,yes,4,2,5,1,1,2,2,10,9,10 388 | GP,F,17,R,GT3,T,2,4,at_home,other,course,father,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,4,3,1,1,5,0,15,15,15 389 | GP,M,18,U,GT3,T,2,2,other,other,reputation,mother,1,1,0,no,no,no,no,no,yes,yes,no,5,4,2,1,2,5,6,15,14,15 390 | GP,F,18,U,GT3,T,3,3,services,services,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,3,4,1,1,4,8,10,11,12 391 | GP,F,18,U,LE3,T,2,2,other,other,home,other,1,2,0,no,no,no,yes,no,yes,yes,yes,4,3,3,1,1,2,0,10,9,12 392 | GP,F,18,R,GT3,T,2,2,at_home,other,course,mother,2,4,0,no,no,no,yes,yes,yes,no,no,4,4,4,1,1,4,6,14,13,14 393 | GP,F,17,U,GT3,T,3,4,services,other,course,mother,1,3,0,no,no,no,no,yes,yes,yes,no,4,4,5,1,3,5,8,11,13,14 394 | GP,F,17,U,GT3,T,3,2,other,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,2,2,3,2,0,12,13,15 395 | GP,F,18,U,LE3,T,3,3,services,services,home,mother,1,4,0,no,yes,no,no,yes,yes,yes,no,5,3,3,1,1,1,4,14,14,15 396 | GP,F,17,R,GT3,A,3,2,other,other,home,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,3,2,3,2,0,14,14,16 397 | GP,M,18,U,GT3,T,4,4,teacher,services,home,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,2,2,2,0,12,12,13 398 | GP,M,18,U,LE3,T,3,4,services,other,home,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,3,1,3,5,6,16,16,17 399 | GP,F,17,U,GT3,A,2,2,at_home,at_home,home,father,1,2,0,no,yes,no,no,yes,yes,yes,yes,3,3,1,1,2,4,18,10,12,14 400 | GP,F,18,U,GT3,T,2,3,at_home,other,course,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,2,3,0,11,12,14 401 | GP,F,18,U,GT3,T,3,2,other,services,other,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,4,3,2,3,1,4,14,16,17 402 | GP,M,18,R,GT3,T,4,3,teacher,services,course,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,3,2,1,2,4,4,15,14,17 403 | GP,M,18,U,GT3,T,4,3,teacher,other,course,mother,1,3,0,no,yes,no,no,yes,yes,yes,yes,5,4,5,2,3,5,0,14,13,14 404 | GP,F,17,U,GT3,T,4,3,health,other,reputation,mother,1,3,0,no,yes,no,yes,yes,yes,yes,yes,4,4,3,1,3,4,0,11,12,13 405 | GP,F,17,U,GT3,T,2,1,services,other,course,mother,2,2,0,no,yes,no,yes,yes,yes,yes,yes,4,3,4,2,2,1,10,12,15,15 406 | GP,F,17,U,GT3,T,2,1,services,other,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,5,2,4,4,4,12,16,16 407 | GP,F,19,U,LE3,A,2,3,at_home,other,home,other,2,1,1,no,no,no,no,yes,no,yes,no,2,2,3,3,4,5,16,10,11,11 408 | GP,F,17,U,GT3,T,3,1,other,at_home,home,mother,1,1,1,no,yes,yes,no,yes,yes,yes,yes,4,1,2,1,1,3,6,10,13,13 409 | GP,F,21,U,LE3,T,4,4,other,other,reputation,other,1,3,2,no,no,yes,yes,yes,yes,yes,no,3,3,2,1,1,5,0,9,12,12 410 | GP,M,18,U,LE3,T,2,2,services,services,reputation,mother,1,2,0,no,yes,no,yes,no,no,yes,no,4,4,4,1,3,3,11,9,11,12 411 | GP,M,18,U,LE3,A,3,4,other,other,reputation,other,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,3,5,1,4,2,9,13,14,15 412 | GP,F,17,U,GT3,T,2,2,services,services,reputation,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,4,1,3,4,0,13,17,17 413 | GP,M,17,U,LE3,A,4,4,health,other,reputation,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,4,2,1,2,4,2,12,15,15 414 | GP,F,18,U,LE3,T,4,2,teacher,other,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,4,2,2,1,1,3,0,14,17,17 415 | GP,M,21,R,LE3,T,1,1,at_home,other,course,other,2,2,2,no,yes,no,yes,yes,no,yes,yes,5,3,3,5,2,4,21,9,10,10 416 | GP,F,20,R,GT3,T,1,1,other,other,reputation,other,2,3,0,no,no,no,no,yes,yes,yes,yes,3,2,2,1,3,3,8,11,15,15 417 | GP,F,19,U,GT3,T,4,4,teacher,other,home,other,1,1,1,no,yes,no,no,yes,yes,yes,yes,3,2,5,4,4,5,5,9,10,11 418 | GP,M,17,U,LE3,A,3,2,other,other,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,4,4,1,2,5,10,16,18,18 419 | GP,F,18,U,GT3,T,3,2,at_home,other,reputation,father,1,3,0,no,yes,no,no,yes,yes,yes,yes,4,3,4,1,2,2,5,14,17,17 420 | GP,M,18,R,GT3,T,2,3,other,services,reputation,father,1,1,0,no,no,no,no,yes,yes,yes,no,3,1,3,4,5,4,13,13,14,14 421 | GP,M,19,U,GT3,T,2,1,other,other,reputation,mother,1,1,0,no,no,no,no,yes,yes,yes,no,5,3,4,1,4,4,10,7,11,11 422 | GP,F,18,U,LE3,A,2,2,services,other,reputation,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,4,1,4,1,3,4,10,14,17,17 423 | GP,F,20,U,GT3,T,1,0,other,other,reputation,mother,2,1,1,yes,no,no,no,yes,yes,yes,yes,5,3,1,1,1,5,5,8,10,10 424 | GP,F,18,U,GT3,T,3,2,services,other,home,mother,1,2,0,no,yes,no,yes,no,yes,yes,yes,3,1,2,1,2,1,4,10,13,13 425 | MS,F,16,U,GT3,T,1,3,at_home,other,other,father,2,1,0,no,yes,no,no,yes,no,yes,yes,4,3,3,1,3,5,11,10,11,11 426 | MS,F,16,R,GT3,T,2,2,other,other,course,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,4,4,1,1,5,0,12,12,12 427 | MS,F,15,R,GT3,T,1,1,at_home,services,other,mother,1,1,1,no,yes,no,no,yes,yes,no,yes,4,1,3,1,1,2,6,10,10,10 428 | MS,F,15,R,GT3,T,3,3,at_home,other,course,mother,2,1,0,no,yes,no,no,yes,yes,yes,no,5,4,4,2,3,5,4,10,10,11 429 | MS,F,16,R,GT3,T,2,3,at_home,services,course,mother,2,2,0,no,no,no,no,yes,yes,no,no,4,5,2,1,2,5,0,16,17,17 430 | MS,F,15,R,LE3,T,2,1,at_home,other,home,mother,2,1,0,no,no,no,no,yes,no,no,no,1,3,4,1,1,1,0,6,8,9 431 | MS,M,16,R,LE3,A,4,4,at_home,other,home,mother,1,2,0,no,yes,no,no,yes,yes,no,no,5,3,2,1,3,2,5,10,11,11 432 | MS,M,16,U,GT3,A,1,2,other,other,other,mother,1,3,0,yes,no,no,no,yes,yes,yes,no,4,4,3,1,1,5,0,10,11,11 433 | MS,F,17,R,GT3,T,3,2,at_home,other,course,father,1,2,1,no,no,no,no,yes,yes,no,yes,4,5,4,1,2,5,0,10,10,10 434 | MS,F,17,R,GT3,T,1,1,other,other,other,father,1,1,1,no,yes,no,no,no,no,yes,no,5,4,4,2,2,5,0,6,6,7 435 | MS,F,15,R,GT3,T,4,4,teacher,other,course,mother,2,1,0,no,no,no,no,yes,yes,yes,yes,1,5,1,3,5,5,0,13,14,14 436 | MS,F,16,U,LE3,A,2,2,at_home,other,reputation,mother,2,4,0,no,no,no,yes,no,no,no,yes,1,2,1,1,1,1,4,10,9,11 437 | MS,F,15,R,LE3,T,1,1,at_home,services,reputation,father,2,2,0,no,yes,no,no,yes,yes,yes,no,5,4,3,1,2,4,0,10,10,10 438 | MS,F,15,R,LE3,T,1,1,other,services,course,mother,2,1,1,no,yes,no,no,yes,yes,yes,yes,4,4,3,1,2,2,4,6,7,8 439 | MS,F,16,R,GT3,T,0,2,other,other,other,mother,2,1,0,no,yes,no,yes,yes,yes,no,no,3,2,3,1,2,2,0,12,11,12 440 | MS,F,17,R,GT3,T,2,3,other,other,course,mother,2,1,0,no,yes,no,no,yes,yes,yes,no,5,5,5,1,3,3,2,10,11,12 441 | MS,F,15,R,GT3,T,3,3,other,services,course,father,2,1,0,no,no,no,no,no,yes,yes,no,4,1,3,1,1,4,0,14,16,16 442 | MS,M,16,U,GT3,T,1,1,at_home,services,home,mother,2,2,0,no,yes,no,yes,yes,yes,no,yes,5,4,5,4,5,3,0,7,0,0 443 | MS,M,17,U,GT3,T,1,1,other,other,home,mother,1,2,0,no,no,yes,no,no,yes,yes,no,4,4,3,2,4,5,4,8,9,9 444 | MS,M,15,R,LE3,T,4,1,health,services,reputation,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,4,1,2,2,0,12,13,14 445 | MS,M,15,R,LE3,T,4,1,health,services,reputation,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,4,1,2,2,7,7,9,8 446 | MS,M,16,R,GT3,T,3,4,other,health,other,mother,3,2,0,no,no,no,no,no,yes,no,no,3,4,5,1,2,5,4,9,10,11 447 | MS,M,15,R,GT3,T,1,1,other,other,course,mother,4,2,0,no,yes,no,yes,yes,yes,no,yes,5,4,5,2,4,4,8,7,9,9 448 | MS,M,15,U,LE3,T,3,3,at_home,at_home,reputation,father,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,5,0,11,11,11 449 | MS,M,17,R,GT3,T,2,1,other,other,other,mother,3,1,0,no,no,no,yes,yes,no,no,yes,5,5,5,5,5,3,8,8,10,9 450 | MS,F,16,R,GT3,T,4,4,teacher,teacher,course,mother,2,3,0,no,no,no,yes,yes,yes,yes,yes,4,2,2,1,1,4,6,16,16,17 451 | MS,F,15,R,GT3,T,1,2,other,services,course,mother,2,1,0,no,no,no,no,yes,yes,no,no,5,1,2,1,1,1,3,11,13,13 452 | MS,F,16,R,GT3,T,2,3,other,services,course,mother,3,2,0,no,yes,no,no,yes,yes,yes,no,4,5,4,1,2,1,2,15,15,15 453 | MS,M,16,R,GT3,T,1,2,other,other,course,father,2,2,0,no,no,no,no,yes,yes,no,no,4,3,3,1,1,5,0,10,11,11 454 | MS,F,16,R,GT3,T,2,2,other,other,course,mother,3,2,0,no,yes,no,no,yes,yes,yes,no,4,4,5,1,1,4,4,9,10,11 455 | MS,F,16,U,GT3,T,1,2,other,services,course,mother,1,3,1,no,yes,no,no,yes,yes,no,no,1,3,2,1,2,4,0,10,8,8 456 | MS,F,16,U,GT3,T,1,2,other,services,course,mother,1,3,1,no,yes,no,no,yes,yes,no,no,1,3,2,1,2,4,3,9,8,8 457 | MS,F,15,U,GT3,T,2,1,at_home,other,home,mother,1,2,0,yes,yes,no,no,no,yes,yes,no,4,4,2,3,3,2,0,9,10,9 458 | MS,F,16,U,GT3,T,1,1,at_home,other,course,father,1,2,0,no,yes,no,no,no,yes,no,yes,5,4,3,2,1,2,0,13,14,15 459 | MS,M,17,R,LE3,T,1,2,at_home,services,reputation,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,5,5,5,5,5,3,4,10,11,11 460 | MS,F,16,R,GT3,T,1,1,other,other,home,father,4,4,0,no,yes,no,no,no,yes,yes,no,4,3,2,1,1,1,0,13,10,13 461 | MS,F,16,R,GT3,T,1,1,at_home,other,other,father,4,3,0,yes,yes,no,no,yes,yes,no,no,4,4,3,1,1,5,2,10,9,10 462 | MS,F,15,R,GT3,T,1,1,at_home,other,home,father,2,2,0,no,yes,no,yes,yes,yes,yes,no,4,3,3,1,1,2,1,11,10,11 463 | MS,F,16,R,GT3,T,1,1,at_home,other,other,mother,2,1,0,no,no,no,yes,yes,yes,yes,yes,4,2,2,4,3,2,0,13,12,14 464 | MS,F,15,R,GT3,T,1,1,at_home,at_home,course,father,3,2,0,no,yes,no,no,yes,yes,no,no,4,2,1,1,2,2,0,13,14,14 465 | MS,F,15,R,LE3,T,2,2,other,other,other,father,1,3,0,yes,yes,no,no,yes,yes,no,no,4,4,3,2,2,5,2,14,11,12 466 | MS,M,16,R,GT3,T,1,1,at_home,other,other,father,2,1,0,no,no,no,yes,yes,yes,no,no,3,4,4,3,4,5,6,11,11,11 467 | MS,F,18,U,GT3,T,1,2,other,other,course,father,1,2,1,no,yes,no,yes,yes,yes,yes,yes,3,4,4,2,3,5,9,9,8,8 468 | MS,M,15,U,GT3,T,3,1,other,services,home,mother,2,1,0,no,yes,no,no,yes,yes,no,no,3,2,3,1,3,4,0,10,9,11 469 | MS,F,16,R,GT3,T,2,2,other,services,course,father,3,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,4,1,1,2,1,14,13,14 470 | MS,M,15,U,GT3,T,2,2,health,other,reputation,mother,3,1,0,no,no,no,no,yes,yes,no,no,4,3,3,1,2,4,1,13,12,13 471 | MS,M,16,U,GT3,T,4,4,other,teacher,course,father,1,2,0,no,yes,no,yes,yes,yes,no,yes,4,3,1,1,1,3,0,13,12,13 472 | MS,F,15,R,GT3,T,3,3,services,other,reputation,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,5,4,1,1,1,4,13,12,12 473 | MS,F,16,R,GT3,T,2,2,at_home,other,course,mother,2,2,1,no,yes,no,yes,no,yes,no,no,4,4,4,2,3,5,2,12,11,12 474 | MS,F,16,R,LE3,T,2,2,other,other,home,father,3,1,0,no,yes,no,yes,yes,yes,no,yes,4,3,2,1,1,4,0,14,14,16 475 | MS,M,16,U,LE3,T,2,1,at_home,services,course,mother,2,1,0,no,yes,no,yes,yes,yes,yes,no,2,4,3,2,3,4,4,10,8,10 476 | MS,M,15,R,LE3,T,1,3,at_home,other,reputation,father,3,1,0,no,yes,no,yes,yes,yes,yes,no,4,2,4,3,5,3,2,10,11,11 477 | MS,F,15,U,GT3,T,2,2,other,services,course,mother,2,3,0,no,yes,no,yes,yes,yes,no,no,5,3,2,1,1,4,0,12,13,14 478 | MS,F,16,R,LE3,T,2,1,other,other,home,mother,1,1,0,no,yes,no,no,yes,yes,yes,yes,5,4,3,1,1,5,2,10,8,8 479 | MS,M,15,U,GT3,T,3,3,services,services,course,father,2,1,0,no,yes,no,yes,no,yes,yes,no,4,3,3,2,4,3,11,12,10,11 480 | MS,F,16,R,GT3,T,1,1,at_home,other,course,father,2,2,3,yes,yes,no,no,yes,yes,no,no,3,4,3,1,1,1,0,7,7,8 481 | MS,F,17,U,GT3,T,2,2,other,at_home,course,mother,1,1,0,no,yes,no,yes,yes,no,no,no,4,5,3,1,1,5,4,9,9,10 482 | MS,F,19,U,GT3,T,2,3,at_home,services,course,other,1,1,1,no,no,no,no,yes,no,yes,yes,4,4,4,1,1,2,0,9,9,10 483 | MS,F,17,R,GT3,T,2,1,at_home,other,course,mother,3,1,0,no,yes,no,yes,yes,no,no,yes,5,5,3,1,1,3,2,9,10,11 484 | MS,F,15,R,LE3,T,1,1,at_home,other,course,mother,2,1,0,no,yes,no,no,yes,no,no,yes,5,2,1,1,3,4,0,9,10,9 485 | MS,F,16,R,GT3,T,2,2,other,other,course,father,3,2,0,no,yes,no,no,yes,no,yes,no,3,4,5,1,2,1,1,9,10,11 486 | MS,F,16,U,LE3,A,2,2,other,other,home,mother,1,1,0,no,yes,no,no,yes,no,no,no,4,3,4,1,2,1,6,7,7,8 487 | MS,F,17,R,GT3,T,2,2,at_home,other,course,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,4,3,5,1,2,4,0,11,10,11 488 | MS,F,16,U,GT3,T,2,2,other,services,course,father,1,1,1,no,yes,yes,yes,no,yes,yes,no,4,4,3,1,4,3,1,9,10,10 489 | MS,F,18,R,LE3,A,3,2,other,other,course,other,2,3,2,no,yes,no,no,no,no,no,yes,3,3,2,1,1,2,6,7,9,10 490 | MS,F,19,U,GT3,T,1,1,at_home,services,course,mother,1,3,1,no,no,no,yes,yes,no,no,yes,5,3,1,1,1,3,6,7,9,9 491 | MS,M,18,R,GT3,T,1,1,other,other,home,mother,2,1,1,no,no,no,yes,yes,no,yes,no,4,4,3,3,4,4,0,8,9,10 492 | MS,F,18,R,GT3,T,1,1,at_home,at_home,course,mother,2,1,1,no,no,no,no,no,no,yes,yes,3,2,3,1,1,2,4,9,11,10 493 | MS,F,19,U,GT3,T,1,1,other,other,course,other,2,2,1,no,yes,no,no,yes,yes,yes,yes,1,1,4,4,1,1,12,7,8,9 494 | MS,F,16,R,GT3,A,2,2,health,other,course,mother,1,2,0,no,no,no,no,no,yes,no,yes,3,3,2,1,1,3,2,8,10,10 495 | MS,F,17,U,GT3,T,0,1,other,at_home,course,father,2,1,0,no,no,no,yes,no,yes,no,no,2,4,4,3,5,5,5,9,9,10 496 | MS,F,16,R,LE3,T,1,2,at_home,other,course,mother,1,2,0,no,no,no,yes,yes,no,yes,no,4,4,5,1,3,3,0,8,9,9 497 | MS,F,16,U,GT3,T,3,3,other,other,reputation,mother,1,1,0,no,no,no,yes,yes,no,yes,yes,4,5,4,1,1,4,0,14,13,13 498 | MS,F,16,R,LE3,T,1,1,services,services,home,mother,1,1,0,no,yes,no,yes,yes,yes,yes,yes,4,4,4,2,2,4,2,14,14,14 499 | MS,M,17,U,GT3,T,3,3,services,at_home,course,mother,2,4,1,no,yes,yes,yes,yes,yes,no,no,5,4,5,3,4,5,0,10,11,10 500 | MS,F,16,U,GT3,T,2,1,other,services,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,no,5,3,3,1,1,1,0,14,13,14 501 | MS,F,16,U,GT3,T,2,2,services,other,course,mother,1,1,0,no,yes,yes,yes,yes,yes,no,yes,4,2,5,1,2,5,0,17,16,16 502 | MS,M,17,U,GT3,T,1,2,other,other,course,father,1,1,1,no,yes,no,yes,yes,no,yes,yes,5,3,5,5,5,1,12,6,7,7 503 | MS,M,16,U,LE3,T,4,3,other,other,course,father,1,1,0,no,no,no,yes,yes,yes,yes,no,4,2,5,1,5,5,8,14,12,13 504 | MS,M,17,R,LE3,T,2,2,services,services,other,mother,3,4,1,no,yes,no,no,yes,yes,no,no,1,3,5,3,5,3,2,10,8,9 505 | MS,F,16,U,GT3,T,1,1,other,other,course,other,1,4,0,yes,yes,no,yes,yes,yes,yes,no,2,2,1,1,1,5,0,14,14,14 506 | MS,F,19,U,LE3,T,2,2,other,other,home,mother,1,3,0,no,no,no,no,yes,yes,yes,yes,5,4,5,1,1,1,0,12,13,13 507 | MS,F,17,R,GT3,T,1,1,at_home,other,reputation,mother,2,1,0,no,yes,no,yes,no,yes,yes,yes,4,4,5,1,2,5,0,11,11,11 508 | MS,F,20,U,GT3,T,3,3,at_home,services,other,mother,2,2,1,no,no,no,yes,yes,yes,yes,yes,3,3,4,2,4,3,8,11,9,10 509 | MS,F,17,U,LE3,T,1,1,other,services,course,father,1,3,0,no,yes,no,no,yes,yes,no,yes,4,3,3,1,1,3,0,11,11,10 510 | MS,M,17,R,GT3,T,2,2,other,other,course,mother,3,1,1,no,yes,no,no,no,yes,yes,no,4,4,5,1,2,5,0,10,9,9 511 | MS,F,16,R,LE3,T,1,1,at_home,other,course,father,3,2,0,no,yes,no,no,yes,yes,no,no,5,3,2,1,1,1,0,16,17,18 512 | MS,F,17,R,GT3,T,2,2,other,other,reputation,mother,2,2,0,no,yes,no,yes,yes,yes,no,no,5,3,2,1,1,1,0,15,17,17 513 | MS,F,17,U,GT3,A,1,0,other,other,other,mother,2,2,0,no,no,no,no,yes,yes,yes,yes,4,4,5,1,1,4,1,11,9,10 514 | MS,F,18,R,GT3,T,1,1,at_home,other,other,mother,1,2,1,no,yes,no,no,yes,yes,yes,yes,4,3,2,1,1,5,9,7,7,7 515 | MS,F,16,U,GT3,T,3,1,other,other,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,3,1,3,1,3,1,0,8,6,8 516 | MS,F,16,U,GT3,T,3,2,services,at_home,course,mother,1,1,0,no,no,no,no,yes,yes,yes,no,3,1,3,1,4,3,2,7,6,7 517 | MS,F,18,U,LE3,T,1,1,other,at_home,reputation,mother,2,2,0,yes,no,no,no,yes,yes,no,no,2,3,5,1,4,3,8,9,8,10 518 | MS,F,16,R,GT3,T,4,4,health,teacher,reputation,father,1,2,0,no,no,no,yes,no,yes,yes,yes,4,3,3,2,3,2,0,14,16,16 519 | MS,F,16,R,LE3,T,1,2,other,other,reputation,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,5,4,5,1,4,2,0,14,14,15 520 | MS,F,18,U,GT3,A,2,4,other,services,reputation,father,1,2,1,no,yes,no,no,yes,yes,yes,no,2,3,2,1,3,1,8,8,5,8 521 | MS,M,16,R,GT3,T,2,1,other,services,reputation,mother,2,2,0,no,no,no,yes,yes,yes,yes,no,5,2,1,1,1,2,0,8,7,0 522 | MS,F,16,U,LE3,T,1,1,at_home,other,other,mother,3,2,0,no,yes,no,no,yes,yes,yes,no,4,3,2,1,3,5,6,6,8,8 523 | MS,F,16,R,GT3,T,2,3,at_home,services,other,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,3,3,3,1,1,2,0,8,10,10 524 | MS,F,16,U,GT3,T,4,4,health,health,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,4,1,2,3,4,8,8,8 525 | MS,M,18,U,LE3,T,4,4,at_home,health,home,mother,1,4,0,no,yes,no,yes,yes,no,yes,yes,5,5,5,5,5,5,2,5,6,6 526 | MS,F,16,R,LE3,T,3,4,at_home,other,other,mother,3,2,0,no,yes,no,no,no,yes,no,no,4,2,1,1,1,2,2,7,9,8 527 | MS,M,17,U,LE3,T,4,4,other,services,home,mother,1,3,0,no,yes,no,no,yes,yes,yes,no,4,4,3,1,2,5,0,15,14,16 528 | MS,F,17,R,GT3,T,4,1,other,other,other,mother,1,1,0,no,no,no,no,yes,yes,yes,yes,4,2,3,1,2,5,1,13,14,14 529 | MS,M,16,U,LE3,T,2,2,services,services,other,mother,4,3,0,no,no,no,no,yes,yes,no,no,5,1,3,2,2,3,0,10,9,10 530 | MS,F,17,R,GT3,T,2,2,at_home,other,other,mother,1,1,0,no,yes,yes,no,yes,yes,yes,no,5,1,3,1,2,5,5,9,9,9 531 | MS,F,16,U,LE3,T,4,4,services,services,other,father,2,1,0,no,yes,no,no,yes,yes,no,no,5,1,3,1,2,5,1,11,11,11 532 | MS,M,17,U,GT3,T,3,3,services,services,home,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,4,1,4,5,5,3,8,7,10,9 533 | MS,M,17,U,GT3,T,1,1,at_home,services,other,mother,3,2,0,no,no,no,no,yes,yes,yes,yes,5,1,3,3,3,1,0,10,10,10 534 | MS,M,16,U,GT3,T,2,1,health,services,other,mother,2,2,0,no,no,no,no,no,yes,yes,yes,4,2,2,1,4,5,2,9,7,8 535 | MS,F,16,U,LE3,T,2,1,other,services,other,mother,1,2,0,no,no,no,no,yes,yes,yes,yes,3,2,2,1,1,3,0,14,15,16 536 | MS,M,16,U,LE3,T,4,4,teacher,health,other,father,1,1,0,no,yes,no,no,yes,yes,yes,no,4,1,2,2,5,5,0,11,12,12 537 | MS,M,15,R,GT3,T,1,2,other,services,course,mother,3,2,0,no,yes,no,yes,yes,yes,no,no,5,5,5,1,3,5,11,9,11,10 538 | MS,M,15,U,LE3,A,2,2,other,other,reputation,mother,3,4,0,no,yes,no,yes,yes,yes,no,no,5,4,5,2,3,5,8,13,14,14 539 | MS,M,15,U,LE3,A,2,1,services,services,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,4,3,3,1,2,5,11,12,13,12 540 | MS,F,16,R,LE3,T,2,2,other,other,course,mother,1,3,0,no,yes,no,no,no,yes,no,yes,4,3,3,2,2,5,2,11,11,11 541 | MS,F,16,U,LE3,T,4,1,other,other,home,mother,2,2,0,no,yes,no,yes,yes,yes,yes,no,1,2,4,2,2,1,8,9,10,10 542 | MS,F,17,U,GT3,T,3,2,at_home,other,home,mother,2,1,0,no,no,no,no,yes,yes,no,yes,4,3,3,2,2,1,5,9,11,11 543 | MS,F,17,R,GT3,T,2,2,other,other,other,mother,2,2,0,yes,no,yes,no,yes,yes,no,no,5,1,3,1,1,5,0,11,9,11 544 | MS,F,16,U,GT3,T,4,4,teacher,services,course,mother,2,3,0,no,yes,no,no,yes,yes,yes,yes,5,3,5,1,4,5,1,10,11,12 545 | MS,M,17,R,GT3,T,4,4,health,other,course,father,3,1,3,no,no,no,yes,yes,yes,yes,yes,3,3,3,1,3,5,2,9,9,8 546 | MS,M,17,R,LE3,T,1,3,other,other,course,father,2,1,0,no,no,no,yes,yes,yes,no,yes,5,1,2,3,3,5,2,12,11,12 547 | MS,M,17,U,GT3,T,3,4,services,other,other,mother,1,2,1,no,yes,no,yes,no,yes,yes,yes,5,4,4,3,4,5,8,8,9,8 548 | MS,F,17,U,GT3,T,4,4,health,health,course,father,1,2,0,no,yes,no,no,yes,yes,yes,no,5,2,5,1,1,5,0,13,15,16 549 | MS,M,16,R,LE3,T,4,1,other,at_home,other,father,1,1,0,no,no,no,no,yes,yes,yes,no,4,1,2,2,1,2,0,10,11,11 550 | MS,F,17,U,GT3,A,1,1,at_home,at_home,other,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,4,5,5,1,2,3,2,11,10,11 551 | MS,F,17,R,GT3,T,4,2,other,other,course,mother,2,2,0,yes,yes,no,no,no,yes,yes,no,4,3,3,2,3,5,0,17,18,18 552 | MS,M,16,U,LE3,A,2,2,other,services,course,father,2,2,0,no,yes,no,no,no,yes,yes,yes,4,1,2,2,2,5,0,12,13,13 553 | MS,M,17,U,GT3,T,3,2,other,other,other,father,2,2,0,no,yes,yes,no,yes,yes,yes,no,4,1,2,2,2,1,0,13,14,13 554 | MS,M,19,U,GT3,T,1,1,other,other,other,mother,1,2,2,no,yes,no,yes,yes,no,yes,no,4,4,3,3,4,4,2,9,9,10 555 | MS,M,17,U,LE3,A,1,0,other,other,home,mother,1,1,0,no,no,no,no,yes,yes,no,yes,4,1,2,1,1,5,4,11,11,12 556 | MS,F,17,R,GT3,T,1,1,at_home,at_home,course,father,2,1,0,no,yes,no,yes,yes,no,yes,yes,3,5,5,2,2,4,3,10,11,10 557 | MS,F,16,R,GT3,T,1,2,other,other,home,father,1,3,0,yes,yes,no,no,no,yes,yes,yes,4,3,4,1,1,3,5,13,14,13 558 | MS,M,16,R,LE3,T,1,2,other,at_home,course,mother,1,1,0,no,no,no,no,yes,yes,no,no,4,4,4,2,4,5,4,9,10,11 559 | MS,F,17,R,GT3,T,3,1,other,other,course,mother,2,2,3,no,yes,no,yes,no,yes,yes,yes,5,4,4,1,1,5,2,7,9,10 560 | MS,M,17,R,GT3,T,2,2,other,other,course,mother,2,1,0,no,no,no,yes,yes,no,no,yes,5,5,5,3,5,5,0,8,13,10 561 | MS,M,18,R,GT3,T,1,0,at_home,at_home,course,other,3,1,1,yes,yes,no,no,yes,yes,no,no,4,3,2,1,1,4,0,12,12,13 562 | MS,M,17,R,GT3,T,1,1,other,services,course,mother,2,1,0,no,yes,no,yes,no,yes,yes,yes,4,5,5,1,3,2,0,10,9,10 563 | MS,M,18,U,LE3,T,1,1,at_home,at_home,course,mother,2,2,0,no,yes,no,yes,yes,yes,no,no,4,3,3,1,4,5,6,10,9,10 564 | MS,F,16,R,LE3,T,2,2,other,services,course,father,1,2,0,no,no,no,yes,yes,yes,no,yes,5,4,3,1,1,1,0,11,13,12 565 | MS,M,17,U,GT3,T,2,2,other,other,course,mother,1,1,1,no,no,no,yes,yes,yes,no,yes,1,2,1,2,3,5,0,7,0,0 566 | MS,M,16,R,GT3,T,3,2,services,other,course,father,2,1,0,no,no,no,no,yes,yes,yes,no,4,5,5,2,3,5,2,11,9,10 567 | MS,M,16,R,LE3,T,1,1,at_home,other,course,mother,2,1,0,no,no,no,yes,yes,yes,yes,no,4,5,5,2,4,5,0,10,10,9 568 | MS,M,18,R,GT3,T,1,1,services,other,course,other,2,1,1,no,yes,no,no,yes,no,yes,yes,5,3,3,2,3,5,2,9,7,9 569 | MS,M,18,R,GT3,T,3,2,services,other,course,mother,1,1,1,no,no,no,no,yes,no,yes,no,2,3,1,2,2,5,0,4,0,0 570 | MS,M,19,U,GT3,T,3,2,at_home,services,course,mother,2,1,3,no,no,no,yes,yes,yes,no,no,3,2,1,1,1,3,4,6,11,9 571 | MS,M,18,U,GT3,T,3,3,at_home,at_home,course,mother,1,2,2,no,yes,no,yes,yes,no,yes,no,4,4,5,1,3,3,9,4,8,8 572 | MS,M,16,R,GT3,T,2,2,services,services,course,mother,2,1,0,no,yes,no,yes,yes,yes,yes,yes,5,4,3,2,4,4,6,7,8,8 573 | MS,M,19,U,GT3,T,2,1,at_home,other,course,other,2,1,3,no,no,no,yes,no,no,yes,yes,4,4,3,1,3,5,4,8,9,9 574 | MS,F,16,U,GT3,A,3,2,services,at_home,course,mother,2,2,2,no,yes,no,yes,yes,yes,no,yes,2,5,5,1,1,1,8,5,5,7 575 | MS,F,17,U,GT3,T,1,1,other,at_home,course,mother,1,1,0,no,yes,no,yes,yes,yes,no,no,4,3,2,1,2,5,9,7,9,10 576 | MS,M,20,R,GT3,T,1,1,other,other,course,other,2,1,1,no,yes,no,no,yes,no,yes,yes,4,4,3,2,4,4,12,8,11,10 577 | MS,F,18,R,GT3,A,4,3,services,services,course,mother,1,1,0,no,yes,no,no,yes,yes,yes,no,5,4,4,3,4,2,8,10,11,10 578 | MS,M,18,R,GT3,T,3,2,other,other,course,mother,2,1,0,no,yes,no,no,no,yes,yes,no,2,5,5,5,5,5,8,9,10,11 579 | MS,M,19,R,GT3,T,1,1,other,services,home,other,3,2,1,no,no,no,no,yes,yes,yes,no,5,4,4,3,3,2,8,10,9,11 580 | MS,M,17,U,GT3,T,3,3,health,other,course,mother,2,2,1,no,yes,no,no,yes,yes,yes,no,4,5,4,2,3,3,4,8,9,10 581 | MS,M,18,U,LE3,T,1,3,at_home,services,course,mother,1,1,0,no,no,no,no,yes,no,yes,yes,4,3,3,2,3,3,0,9,10,9 582 | MS,M,19,R,GT3,T,1,1,other,other,home,other,3,1,1,no,yes,no,no,yes,yes,yes,no,4,4,4,3,3,5,4,8,9,10 583 | MS,F,18,U,GT3,A,1,2,at_home,other,course,mother,2,2,2,no,yes,no,no,yes,yes,no,no,4,3,3,1,1,5,2,6,8,8 584 | MS,F,19,U,LE3,A,1,1,at_home,other,course,mother,1,1,0,no,yes,no,no,yes,no,no,no,1,4,4,1,1,5,0,6,8,7 585 | MS,F,18,R,GT3,T,2,2,other,other,other,mother,2,1,1,no,no,no,no,yes,no,yes,yes,5,5,5,1,1,3,0,8,6,0 586 | MS,F,17,R,GT3,T,0,0,at_home,other,course,mother,2,1,0,no,yes,no,no,yes,yes,yes,no,4,4,3,1,1,5,0,10,11,11 587 | MS,F,17,R,LE3,A,3,1,other,at_home,course,other,2,3,0,no,yes,yes,no,yes,no,no,no,4,2,3,2,2,3,5,8,7,8 588 | MS,F,17,U,GT3,T,4,2,teacher,services,home,mother,1,2,0,yes,yes,no,yes,yes,yes,yes,no,5,5,5,1,3,5,0,8,8,0 589 | MS,F,18,R,LE3,T,2,2,services,services,course,mother,1,2,1,no,yes,no,yes,yes,yes,yes,no,2,3,3,1,2,4,3,7,6,8 590 | MS,F,17,U,GT3,T,4,1,health,at_home,course,mother,1,1,0,no,yes,no,no,yes,yes,no,yes,3,2,2,1,1,5,0,8,10,9 591 | MS,F,17,U,LE3,T,1,2,at_home,other,course,father,1,1,0,no,no,no,no,yes,yes,yes,no,5,5,1,1,1,3,0,7,10,10 592 | MS,F,18,U,GT3,T,1,1,other,other,course,mother,3,2,2,no,no,no,yes,yes,yes,no,yes,3,4,4,2,2,5,3,7,8,7 593 | MS,F,18,U,GT3,T,2,2,services,at_home,reputation,father,2,2,0,no,no,no,yes,no,yes,yes,no,4,3,5,1,1,1,2,12,13,14 594 | MS,F,17,U,GT3,T,3,3,services,services,course,mother,2,1,0,no,yes,no,no,yes,yes,yes,no,4,4,3,1,1,4,0,11,12,13 595 | MS,F,18,U,LE3,A,1,2,at_home,other,reputation,mother,2,2,0,no,no,no,no,yes,yes,yes,no,4,4,3,1,2,4,0,12,13,14 596 | MS,F,18,U,GT3,T,4,4,teacher,teacher,reputation,mother,2,2,0,no,no,no,yes,no,yes,yes,no,4,3,5,1,2,1,0,18,18,18 597 | MS,M,18,U,LE3,T,4,4,services,other,reputation,mother,1,1,0,no,yes,no,yes,yes,yes,yes,no,5,4,5,1,1,5,3,17,17,17 598 | MS,F,17,U,GT3,T,4,2,other,other,course,mother,2,2,0,no,yes,no,no,yes,yes,yes,no,4,3,3,1,2,4,0,17,18,18 599 | MS,F,18,R,GT3,T,2,2,at_home,other,course,mother,3,2,1,no,no,no,yes,yes,yes,no,yes,4,3,3,1,1,4,0,9,0,0 600 | MS,M,18,U,LE3,T,1,2,at_home,services,home,mother,2,1,0,no,yes,no,no,no,yes,no,no,4,1,4,5,5,1,8,10,11,11 601 | MS,M,18,R,GT3,T,4,4,at_home,services,other,mother,3,1,0,no,yes,yes,yes,yes,yes,yes,yes,2,5,5,1,1,1,5,12,13,14 602 | MS,M,17,R,GT3,T,1,1,other,services,other,father,3,1,0,no,no,no,no,no,no,no,no,4,2,3,3,4,4,4,12,13,14 603 | MS,F,18,U,GT3,T,2,2,other,other,course,mother,2,2,0,no,yes,no,no,no,yes,yes,yes,1,3,1,1,1,2,4,8,8,10 604 | MS,F,18,U,LE3,T,2,2,services,services,course,father,2,3,0,no,no,no,no,yes,yes,yes,yes,5,4,5,1,4,3,0,11,12,13 605 | MS,F,18,R,LE3,A,4,2,teacher,other,reputation,mother,1,2,0,no,no,no,yes,yes,yes,yes,yes,5,3,1,1,1,5,0,5,0,0 606 | MS,F,18,U,GT3,T,1,1,at_home,services,course,mother,3,2,1,no,no,no,no,yes,no,no,no,4,4,2,1,2,2,2,9,10,10 607 | MS,F,19,U,GT3,T,1,1,at_home,services,other,father,2,1,1,no,no,no,no,yes,no,no,no,5,5,5,2,3,2,0,5,0,0 608 | MS,F,17,U,GT3,T,4,2,teacher,other,course,father,2,4,0,no,no,no,no,yes,yes,yes,yes,4,2,3,3,1,5,0,18,18,18 609 | MS,F,17,R,LE3,A,2,1,services,other,reputation,mother,2,2,0,no,no,no,yes,yes,yes,yes,yes,5,3,3,1,2,2,5,11,11,12 610 | MS,F,18,U,LE3,A,1,1,at_home,services,course,mother,1,2,0,no,no,no,no,yes,yes,no,yes,5,2,3,1,2,3,2,8,10,11 611 | MS,F,18,U,GT3,T,1,2,at_home,at_home,course,father,2,2,0,no,yes,no,no,yes,no,no,no,4,1,1,1,1,4,0,11,11,12 612 | MS,F,19,R,GT3,A,1,1,at_home,at_home,course,other,2,2,3,no,yes,no,yes,yes,no,no,yes,3,5,4,1,4,1,0,8,0,0 613 | MS,F,18,R,GT3,T,2,2,services,other,home,mother,2,3,0,no,no,no,no,yes,yes,yes,yes,4,2,1,1,1,4,5,14,14,15 614 | MS,M,17,R,GT3,T,4,3,services,other,home,mother,2,2,1,no,yes,yes,yes,no,yes,yes,yes,4,5,5,1,3,2,4,10,11,11 615 | MS,F,18,U,GT3,T,3,3,services,services,course,father,1,2,0,no,yes,no,no,yes,yes,no,yes,5,3,4,1,1,5,0,10,10,10 616 | MS,F,17,R,GT3,T,4,4,teacher,services,other,father,2,2,0,no,yes,yes,yes,yes,yes,yes,no,4,3,3,1,2,5,2,12,12,12 617 | MS,F,17,U,LE3,A,3,2,services,other,reputation,mother,2,2,0,no,no,no,no,yes,yes,no,yes,1,2,3,1,2,5,0,15,14,15 618 | MS,M,18,U,LE3,T,1,1,other,services,home,father,2,1,0,no,no,no,no,no,yes,yes,yes,3,3,2,1,2,3,2,14,13,14 619 | MS,F,18,U,LE3,T,1,1,at_home,services,course,father,2,3,0,no,no,no,no,yes,yes,yes,no,5,3,2,1,1,4,0,19,17,18 620 | MS,F,18,R,LE3,A,1,2,at_home,other,course,mother,3,2,0,no,no,no,no,yes,yes,no,yes,4,3,4,1,4,5,0,16,15,15 621 | MS,F,18,U,GT3,T,3,3,services,services,other,mother,2,2,0,no,yes,no,no,yes,yes,yes,yes,4,3,2,1,3,3,6,13,12,13 622 | MS,F,17,U,LE3,T,4,4,at_home,at_home,course,mother,1,2,0,no,yes,no,yes,yes,yes,yes,yes,2,3,4,1,1,1,4,15,14,15 623 | MS,F,17,R,GT3,T,1,2,other,services,course,father,2,2,0,no,no,no,no,no,yes,no,no,3,2,2,1,2,3,0,13,13,13 624 | MS,M,18,R,GT3,T,1,3,at_home,other,course,mother,2,2,0,no,yes,yes,no,yes,yes,no,no,3,3,4,2,4,3,0,8,10,9 625 | MS,M,18,U,LE3,T,4,4,teacher,services,other,mother,2,3,0,no,no,no,no,yes,yes,yes,yes,4,2,2,2,2,5,0,15,16,16 626 | MS,F,17,R,GT3,T,1,1,other,services,reputation,mother,3,1,1,no,yes,no,no,yes,yes,yes,yes,5,2,1,1,2,1,0,8,8,9 627 | MS,F,18,U,GT3,T,2,3,at_home,services,course,father,2,1,0,no,yes,no,no,yes,yes,yes,yes,5,2,3,1,2,4,0,10,10,10 628 | MS,F,18,R,GT3,T,4,4,other,teacher,other,father,3,2,0,no,yes,no,no,no,yes,yes,yes,3,2,2,4,2,5,0,7,5,0 629 | MS,M,18,R,LE3,T,1,2,at_home,services,other,father,3,1,0,no,yes,no,yes,yes,no,yes,yes,4,3,3,2,3,3,3,9,10,10 630 | MS,F,17,U,GT3,T,2,2,other,at_home,home,mother,1,3,0,no,no,no,yes,yes,yes,no,yes,3,4,3,1,1,3,8,10,11,12 631 | MS,F,17,R,GT3,T,1,2,other,other,course,mother,1,1,0,no,no,no,yes,yes,yes,yes,no,3,5,5,1,3,1,4,7,8,9 632 | MS,F,18,R,LE3,T,4,4,other,other,reputation,mother,2,3,0,no,no,no,no,yes,yes,yes,no,5,4,4,1,1,1,0,15,17,17 633 | MS,F,18,R,GT3,T,1,1,other,other,home,mother,4,3,0,no,no,no,no,yes,yes,yes,no,4,3,2,1,2,4,4,10,11,12 634 | MS,F,19,R,GT3,T,1,1,at_home,other,course,other,2,2,1,no,yes,no,no,yes,yes,yes,yes,4,3,3,1,1,3,4,7,8,9 635 | MS,F,18,R,LE3,T,4,4,teacher,services,course,mother,1,2,0,no,no,no,yes,yes,yes,yes,no,5,4,3,3,4,2,1,13,14,14 636 | MS,F,18,U,GT3,T,3,3,other,other,home,mother,1,2,0,no,no,no,no,yes,yes,yes,yes,4,1,3,1,2,1,1,16,16,16 637 | MS,F,17,R,GT3,T,3,1,at_home,other,reputation,mother,1,2,0,no,yes,no,yes,no,yes,yes,no,4,5,4,2,3,1,10,8,9,9 638 | MS,M,18,U,GT3,T,4,4,teacher,teacher,home,father,1,2,0,no,no,no,yes,no,yes,yes,no,3,2,4,1,4,2,4,17,18,19 639 | MS,M,18,R,GT3,T,2,1,other,other,other,mother,2,1,0,no,no,no,yes,no,yes,yes,yes,4,4,3,1,3,5,0,7,7,0 640 | MS,M,17,U,GT3,T,2,3,other,services,home,father,2,2,0,no,no,no,yes,yes,yes,yes,no,4,4,3,1,1,3,4,14,15,16 641 | MS,M,19,R,GT3,T,1,1,other,services,other,mother,2,1,1,no,no,no,no,yes,yes,no,no,4,3,2,1,3,5,0,5,8,0 642 | MS,M,18,R,GT3,T,4,2,other,other,home,father,2,1,1,no,no,yes,no,yes,yes,no,no,5,4,3,4,3,3,0,7,7,0 643 | MS,F,18,R,GT3,T,2,2,at_home,other,other,mother,2,3,0,no,no,no,no,yes,yes,no,no,5,3,3,1,3,4,0,14,17,15 644 | MS,F,17,U,GT3,T,4,3,teacher,other,other,mother,2,2,0,no,no,no,no,yes,yes,yes,no,5,5,4,1,1,1,0,6,9,11 645 | MS,F,18,R,GT3,T,4,4,teacher,at_home,reputation,mother,3,1,0,no,yes,no,yes,yes,yes,yes,yes,4,4,3,2,2,5,4,7,9,10 646 | MS,F,19,R,GT3,T,2,3,services,other,course,mother,1,3,1,no,no,no,yes,no,yes,yes,no,5,4,2,1,2,5,4,10,11,10 647 | MS,F,18,U,LE3,T,3,1,teacher,services,course,mother,1,2,0,no,yes,no,no,yes,yes,yes,no,4,3,4,1,1,1,4,15,15,16 648 | MS,F,18,U,GT3,T,1,1,other,other,course,mother,2,2,0,no,no,no,yes,yes,yes,no,no,1,1,1,1,1,5,6,11,12,9 649 | MS,M,17,U,LE3,T,3,1,services,services,course,mother,2,1,0,no,no,no,no,no,yes,yes,no,2,4,5,3,4,2,6,10,10,10 650 | MS,M,18,R,LE3,T,3,2,services,other,course,mother,3,1,0,no,no,no,no,no,yes,yes,no,4,4,1,3,4,5,4,10,11,11 651 | --------------------------------------------------------------------------------