ыавываа

.flake8

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+[flake8]
+max-line-length = 120

.gitattributes

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+* text=crlf

.gitignore

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+
+# Created by https://www.toptal.com/developers/gitignore/api/python,pycharm+all
+# Edit at https://www.toptal.com/developers/gitignore?templates=python,pycharm+all
+
+### PyCharm+all ###
+# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm, CLion, Android Studio, WebStorm and Rider
+# Reference: https://intellij-support.jetbrains.com/hc/en-us/articles/206544839
+
+# User-specific stuff
+.idea/**/workspace.xml
+.idea/**/tasks.xml
+.idea/**/usage.statistics.xml
+.idea/**/dictionaries
+.idea/**/shelf
+
+# AWS User-specific
+.idea/**/aws.xml
+
+# Generated files
+.idea/**/contentModel.xml
+
+# Sensitive or high-churn files
+.idea/**/dataSources/
+.idea/**/dataSources.ids
+.idea/**/dataSources.local.xml
+.idea/**/sqlDataSources.xml
+.idea/**/dynamic.xml
+.idea/**/uiDesigner.xml
+.idea/**/dbnavigator.xml
+
+# Gradle
+.idea/**/gradle.xml
+.idea/**/libraries
+
+# Gradle and Maven with auto-import
+# When using Gradle or Maven with auto-import, you should exclude module files,
+# since they will be recreated, and may cause churn.  Uncomment if using
+# auto-import.
+# .idea/artifacts
+# .idea/compiler.xml
+# .idea/jarRepositories.xml
+# .idea/modules.xml
+# .idea/*.iml
+# .idea/modules
+# *.iml
+# *.ipr
+
+# CMake
+cmake-build-*/
+
+# Mongo Explorer plugin
+.idea/**/mongoSettings.xml
+
+# File-based project format
+*.iws
+
+# IntelliJ
+out/
+
+# mpeltonen/sbt-idea plugin
+.idea_modules/
+
+# JIRA plugin
+atlassian-ide-plugin.xml
+
+# Cursive Clojure plugin
+.idea/replstate.xml
+
+# SonarLint plugin
+.idea/sonarlint/
+
+# Crashlytics plugin (for Android Studio and IntelliJ)
+com_crashlytics_export_strings.xml
+crashlytics.properties
+crashlytics-build.properties
+fabric.properties
+
+# Editor-based Rest Client
+.idea/httpRequests
+
+# Android studio 3.1+ serialized cache file
+.idea/caches/build_file_checksums.ser
+
+### PyCharm+all Patch ###
+# Ignores the whole .idea folder and all .iml files
+# See https://github.com/joeblau/gitignore.io/issues/186 and https://github.com/joeblau/gitignore.io/issues/360
+
+.idea/*
+
+# Reason: https://github.com/joeblau/gitignore.io/issues/186#issuecomment-249601023
+
+*.iml
+modules.xml
+.idea/misc.xml
+*.ipr
+
+# Sonarlint plugin
+.idea/sonarlint
+
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+.ionide
+
+# End of https://www.toptal.com/developers/gitignore/api/python,pycharm+all
+
+# JS
+node_modules/
+
+test.csv

.vscode/extensions.json

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+{
+    "recommendations": [
+        "ms-python.black-formatter",
+        "ms-python.flake8",
+        "ms-python.isort",
+        "ms-toolsai.jupyter",
+        "ms-toolsai.datawrangler",
+        "ms-python.python",
+        "donjayamanne.python-environment-manager",
+        // optional
+        "usernamehw.errorlens"
+    ]
+}

.vscode/launch.json

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+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "mai-service",
+            "type": "debugpy",
+            "request": "launch",
+            "program": "run.py",
+            "console": "integratedTerminal",
+            "justMyCode": true
+        }
+    ]
+}

.vscode/settings.json

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+{
+    "files.autoSave": "onFocusChange",
+    "files.exclude": {
+        "**/__pycache__": true
+    },
+    "editor.detectIndentation": false,
+    "editor.formatOnType": false,
+    "editor.formatOnPaste": true,
+    "editor.formatOnSave": true,
+    "editor.tabSize": 4,
+    "editor.insertSpaces": true,
+    "editor.codeActionsOnSave": {
+        "source.organizeImports": "explicit",
+        "source.sortImports": "explicit"
+    },
+    "editor.stickyScroll.enabled": false,
+    "diffEditor.ignoreTrimWhitespace": false,
+    "debug.showVariableTypes": true,
+    "workbench.editor.highlightModifiedTabs": true,
+    "git.suggestSmartCommit": false,
+    "git.autofetch": true,
+    "git.openRepositoryInParentFolders": "always",
+    "git.confirmSync": false,
+    "errorLens.gutterIconsEnabled": true,
+    "errorLens.messageEnabled": false,
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter",
+    },
+    "python.languageServer": "Pylance",
+    "python.analysis.typeCheckingMode": "basic",
+    "python.analysis.autoImportCompletions": true,
+    "isort.args": [
+        "--profile",
+        "black"
+    ],
+    "notebook.lineNumbers": "on",
+    "notebook.output.minimalErrorRendering": true,
+}

backend/__init__.py

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+import importlib
+import os
+import traceback
+
+import matplotlib
+from apiflask import APIBlueprint, APIFlask
+from flask_cors import CORS
+
+matplotlib.use("agg")
+
+cors = CORS()
+api_bp = APIBlueprint("api", __name__, url_prefix="/api/v1")
+dataset_path: str | None = None
+
+
+class Config:
+    SECRET_KEY = "secret!"
+    SEND_FILE_MAX_AGE_DEFAULT = -1
+
+
+def create_app():
+    global dataset_path
+
+    # Create and configure app
+    app = APIFlask(
+        "MAI Service",
+        title="MAI Service API",
+        docs_path="/",
+        version="1.0",
+        static_folder="",
+        template_folder="",
+    )
+    app.config.from_object(Config)
+
+    dataset_path = os.path.join(app.instance_path, "dataset")
+    os.makedirs(dataset_path, exist_ok=True)
+
+    @app.errorhandler(Exception)
+    def my_error_processor(error):
+        traceback.print_exception(error)
+        return {"message": str(error), "detail": "No details"}, 500
+
+    # Import custom REST methods
+    importlib.import_module("backend.api")
+
+    # Enable REST API
+    app.register_blueprint(api_bp)
+
+    # Enable app extensions
+    cors.init_app(app)
+
+    return app

backend/api.py

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+from apiflask import FileSchema, Schema, fields
+from flask import send_file
+
+from backend import api_bp, dataset_path
+from backend.service import Service
+
+
+class FileUpload(Schema):
+    file = fields.File(required=True)
+
+
+class ColumnInfoDto(Schema):
+    datatype = fields.String()
+    items = fields.List(fields.String())
+
+
+class TableColumnDto(Schema):
+    name = fields.String()
+    datatype = fields.String()
+    items = fields.List(fields.String())
+
+
+service = Service(dataset_path)
+
+
+@api_bp.post("/dataset")
+@api_bp.input(FileUpload, location="files")
+def upload_dataset(files_data):
+    uploaded_file = files_data["file"]
+    return service.upload_dataset(uploaded_file)
+
+
+@api_bp.get("/dataset")
+def get_all_datasets():
+    return service.get_all_datasets()
+
+
+@api_bp.get("/dataset/<string:name>")
+@api_bp.output(TableColumnDto(many=True))
+def get_dataset_info(name: str):
+    return service.get_dataset_info(name)
+
+
+@api_bp.get("/dataset/<string:name>/<string:column>")
+@api_bp.output(ColumnInfoDto)
+def get_column_info(name: str, column: str):
+    return service.get_column_info(name, column)
+
+
+@api_bp.get("/dataset/draw/hist/<string:name>/<string:column>")
+@api_bp.output(
+    FileSchema(type="string", format="binary"), content_type="image/png", example=""
+)
+def get_dataset_hist(name: str, column: str):
+    data = service.get_hist(name, column)
+    data.seek(0)
+    return send_file(data, download_name=f"{name}.hist.png", mimetype="image/png")

backend/service.py

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+import io
+import os
+import pathlib
+from typing import BinaryIO, Dict, List
+
+import pandas as pd
+from matplotlib.figure import Figure
+from werkzeug.datastructures import FileStorage
+from werkzeug.utils import secure_filename
+
+
+class Service:
+    def __init__(self, dataset_path: str | None) -> None:
+        if dataset_path is None:
+            raise Exception("Dataset path is not defined")
+        self.__path: str = dataset_path
+
+    def __get_dataset(self, filename: str) -> pd.DataFrame:
+        full_file_name = os.path.join(self.__path, secure_filename(filename))
+        return pd.read_csv(full_file_name)
+
+    def upload_dataset(self, file: FileStorage) -> str:
+        if file.filename is None:
+            raise Exception("Dataset upload error")
+        file_name: str = file.filename
+        full_file_name = os.path.join(self.__path, secure_filename(file_name))
+        file.save(full_file_name)
+        return file_name
+
+    def get_all_datasets(self) -> List[str]:
+        return [file.name for file in pathlib.Path(self.__path).glob("*.csv")]
+
+    def get_dataset_info(self, filename) -> List[Dict]:
+        dataset = self.__get_dataset(filename)
+        dataset_info = []
+        for column in dataset.columns:
+            items = dataset[column].astype(str)
+            column_info = {
+                "name": column,
+                "datatype": dataset.dtypes[column],
+                "items": items,
+            }
+            dataset_info.append(column_info)
+        return dataset_info
+
+    def get_column_info(self, filename, column) -> Dict:
+        dataset = self.__get_dataset(filename)
+        datatype = dataset.dtypes[column]
+        items = sorted(dataset[column].astype(str).unique())
+        return {"datatype": datatype, "items": items}
+
+    def get_hist(self, filename, column) -> BinaryIO:
+        dataset = self.__get_dataset(filename)
+        bytes = io.BytesIO()
+        plot: Figure | None = dataset.plot.hist(column=[column], bins=80).get_figure()
+        if plot is None:
+            raise Exception("Can't create hist plot")
+        plot.savefig(bytes, dpi=300, format="png")
+        return bytes

data/countries-continents-capitals.csv

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+Country/Territory,Capital,Continent
+Afghanistan,Kabul,Asia
+Albania,Tirana,Europe
+Algeria,Algiers,Africa
+American Samoa,Pago Pago,Oceania
+Andorra,Andorra la Vella,Europe
+Angola,Luanda,Africa
+Anguilla,The Valley,North America
+Antigua and Barbuda,Saint Johnƒ??s,North America
+Argentina,Buenos Aires,South America
+Armenia,Yerevan,Asia
+Aruba,Oranjestad,North America
+Australia,Canberra,Oceania
+Austria,Vienna,Europe
+Azerbaijan,Baku,Asia
+Bahamas,Nassau,North America
+Bahrain,Manama,Asia
+Bangladesh,Dhaka,Asia
+Barbados,Bridgetown,North America
+Belarus,Minsk,Europe
+Belgium,Brussels,Europe
+Belize,Belmopan,North America
+Benin,Porto-Novo,Africa
+Bermuda,Hamilton,North America
+Bhutan,Thimphu,Asia
+Bolivia,Sucre,South America
+Bosnia and Herzegovina,Sarajevo,Europe
+Botswana,Gaborone,Africa
+Brazil,Brasilia,South America
+British Virgin Islands,Road Town,North America
+Brunei,Bandar Seri Begawan,Asia
+Bulgaria,Sofia,Europe
+Burkina Faso,Ouagadougou,Africa
+Burundi,Bujumbura,Africa
+Cambodia,Phnom Penh,Asia
+Cameroon,Yaounde,Africa
+Canada,Ottawa,North America
+Cape Verde,Praia,Africa
+Cayman Islands,George Town,North America
+Central African Republic,Bangui,Africa
+Chad,N'Djamena,Africa
+Chile,Santiago,South America
+China,Beijing,Asia
+Colombia,Bogota,South America
+Comoros,Moroni,Africa
+Cook Islands,Avarua,Oceania
+Costa Rica,San Jos??,North America
+Croatia,Zagreb,Europe
+Cuba,Havana,North America
+Curacao,Willemstad,North America
+Cyprus,Nicosia,Europe
+Czech Republic,Prague,Europe
+Denmark,Copenhagen,Europe
+Djibouti,Djibouti,Africa
+Dominica,Roseau,North America
+Dominican Republic,Santo Domingo,North America
+DR Congo,Kinshasa,Africa
+Ecuador,Quito,South America
+Egypt,Cairo,Africa
+El Salvador,San Salvador,North America
+Equatorial Guinea,Malabo,Africa
+Eritrea,Asmara,Africa
+Estonia,Tallinn,Europe
+Eswatini,Mbabane,Africa
+Ethiopia,Addis Ababa,Africa
+Falkland Islands,Stanley,South America
+Faroe Islands,T??rshavn,Europe
+Fiji,Suva,Oceania
+Finland,Helsinki,Europe
+France,Paris,Europe
+French Guiana,Cayenne,South America
+French Polynesia,Papeete,Oceania
+Gabon,Libreville,Africa
+Gambia,Banjul,Africa
+Georgia,Tbilisi,Asia
+Germany,Berlin,Europe
+Ghana,Accra,Africa
+Gibraltar,Gibraltar,Europe
+Greece,Athens,Europe
+Greenland,Nuuk,North America
+Grenada,Saint George's,North America
+Guadeloupe,Basse-Terre,North America
+Guam,Hag?<3F>t?ña,Oceania
+Guatemala,Guatemala City,North America
+Guernsey,Saint Peter Port,Europe
+Guinea,Conakry,Africa
+Guinea-Bissau,Bissau,Africa
+Guyana,Georgetown,South America
+Haiti,Port-au-Prince,North America
+Honduras,Tegucigalpa,North America
+Hong Kong,Hong Kong,Asia
+Hungary,Budapest,Europe
+Iceland,Reykjav??k,Europe
+India,New Delhi,Asia
+Indonesia,Jakarta,Asia
+Iran,Tehran,Asia
+Iraq,Baghdad,Asia
+Ireland,Dublin,Europe
+Isle of Man,Douglas,Europe
+Israel,Jerusalem,Asia
+Italy,Rome,Europe
+Ivory Coast,Yamoussoukro,Africa
+Jamaica,Kingston,North America
+Japan,Tokyo,Asia
+Jersey,Saint Helier,Europe
+Jordan,Amman,Asia
+Kazakhstan,Nursultan,Asia
+Kenya,Nairobi,Africa
+Kiribati,Tarawa,Oceania
+Kuwait,Kuwait City,Asia
+Kyrgyzstan,Bishkek,Asia
+Laos,Vientiane,Asia
+Latvia,Riga,Europe
+Lebanon,Beirut,Asia
+Lesotho,Maseru,Africa
+Liberia,Monrovia,Africa
+Libya,Tripoli,Africa
+Liechtenstein,Vaduz,Europe
+Lithuania,Vilnius,Europe
+Luxembourg,Luxembourg,Europe
+Macau,Concelho de Macau,Asia
+Madagascar,Antananarivo,Africa
+Malawi,Lilongwe,Africa
+Malaysia,Kuala Lumpur,Asia
+Maldives,Mal??,Asia
+Mali,Bamako,Africa
+Malta,Valletta,Europe
+Marshall Islands,Majuro,Oceania
+Martinique,Fort-de-France,North America
+Mauritania,Nouakchott,Africa
+Mauritius,Port Louis,Africa
+Mayotte,Mamoudzou,Africa
+Mexico,Mexico City,North America
+Micronesia,Palikir,Oceania
+Moldova,Chisinau,Europe
+Monaco,Monaco,Europe
+Mongolia,Ulaanbaatar,Asia
+Montenegro,Podgorica,Europe
+Montserrat,Brades,North America
+Morocco,Rabat,Africa
+Mozambique,Maputo,Africa
+Myanmar,Nay Pyi Taw,Asia
+Namibia,Windhoek,Africa
+Nauru,Yaren,Oceania
+Nepal,Kathmandu,Asia
+Netherlands,Amsterdam,Europe
+New Caledonia,Noum??a,Oceania
+New Zealand,Wellington,Oceania
+Nicaragua,Managua,North America
+Niger,Niamey,Africa
+Nigeria,Abuja,Africa
+Niue,Alofi,Oceania
+North Korea,Pyongyang,Asia
+North Macedonia,Skopje,Europe
+Northern Mariana Islands,Saipan,Oceania
+Norway,Oslo,Europe
+Oman,Muscat,Asia
+Pakistan,Islamabad,Asia
+Palau,Ngerulmud,Oceania
+Palestine,Ramallah,Asia
+Panama,Panama City,North America
+Papua New Guinea,Port Moresby,Oceania
+Paraguay,Asunci??n,South America
+Peru,Lima,South America
+Philippines,Manila,Asia
+Poland,Warsaw,Europe
+Portugal,Lisbon,Europe
+Puerto Rico,San Juan,North America
+Qatar,Doha,Asia
+Republic of the Congo,Brazzaville,Africa
+Reunion,Saint-Denis,Africa
+Romania,Bucharest,Europe
+Russia,Moscow,Europe
+Rwanda,Kigali,Africa
+Saint Barthelemy,Gustavia,North America
+Saint Kitts and Nevis,Basseterre,North America
+Saint Lucia,Castries,North America
+Saint Martin,Marigot,North America
+Saint Pierre and Miquelon,Saint-Pierre,North America
+Saint Vincent and the Grenadines,Kingstown,North America
+Samoa,Apia,Oceania
+San Marino,San Marino,Europe
+Sao Tome and Principe,S?œo Tom??,Africa
+Saudi Arabia,Riyadh,Asia
+Senegal,Dakar,Africa
+Serbia,Belgrade,Europe
+Seychelles,Victoria,Africa
+Sierra Leone,Freetown,Africa
+Singapore,Singapore,Asia
+Sint Maarten,Philipsburg,North America
+Slovakia,Bratislava,Europe
+Slovenia,Ljubljana,Europe
+Solomon Islands,Honiara,Oceania
+Somalia,Mogadishu,Africa
+South Africa,Pretoria,Africa
+South Korea,Seoul,Asia
+South Sudan,Juba,Africa
+Spain,Madrid,Europe
+Sri Lanka,Colombo,Asia
+Sudan,Khartoum,Africa
+Suriname,Paramaribo,South America
+Sweden,Stockholm,Europe
+Switzerland,Bern,Europe
+Syria,Damascus,Asia
+Taiwan,Taipei,Asia
+Tajikistan,Dushanbe,Asia
+Tanzania,Dodoma,Africa
+Thailand,Bangkok,Asia
+Timor-Leste,Dili,Asia
+Togo,Lom??,Africa
+Tokelau,Nukunonu,Oceania
+Tonga,Nukuƒ??alofa,Oceania
+Trinidad and Tobago,Port-of-Spain,North America
+Tunisia,Tunis,Africa
+Turkey,Ankara,Asia
+Turkmenistan,Ashgabat,Asia
+Turks and Caicos Islands,Cockburn Town,North America
+Tuvalu,Funafuti,Oceania
+Uganda,Kampala,Africa
+Ukraine,Kiev,Europe
+United Arab Emirates,Abu Dhabi,Asia
+United Kingdom,London,Europe
+United States,"Washington, D.C.",North America
+United States Virgin Islands,Charlotte Amalie,North America
+Uruguay,Montevideo,South America
+Uzbekistan,Tashkent,Asia
+Vanuatu,Port-Vila,Oceania
+Vatican City,Vatican City,Europe
+Venezuela,Caracas,South America
+Vietnam,Hanoi,Asia
+Wallis and Futuna,Mata-Utu,Oceania
+Western Sahara,El Aai?§n,Africa
+Yemen,Sanaa,Asia
+Zambia,Lusaka,Africa
+Zimbabwe,Harare,Africa

data/dollar.csv

@@ -0,0 +1,244 @@
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data/titanic.csv

@@ -0,0 +1,892 @@
+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
+55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C
+56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S
+57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S
+58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C
+59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S
+60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S
+61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C
+62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28,
+63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S
+64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S
+65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C
+66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C
+67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S
+68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S
+69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S
+70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S
+71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S
+72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S
+73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S
+74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C
+75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S
+76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
+77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S
+78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S
+79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S
+80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S
+81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S
+82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S
+83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q
+84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S
+85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S
+86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S
+87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S
+88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S
+89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S
+90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S
+91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S
+92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S
+93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S
+94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S
+95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S
+96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S
+97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C
+98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C
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+762,0,3,"Nirva, Mr. Iisakki Antino Aijo",male,41,0,0,SOTON/O2 3101272,7.125,,S
+763,1,3,"Barah, Mr. Hanna Assi",male,20,0,0,2663,7.2292,,C
+764,1,1,"Carter, Mrs. William Ernest (Lucile Polk)",female,36,1,2,113760,120,B96 B98,S
+765,0,3,"Eklund, Mr. Hans Linus",male,16,0,0,347074,7.775,,S
+766,1,1,"Hogeboom, Mrs. John C (Anna Andrews)",female,51,1,0,13502,77.9583,D11,S
+767,0,1,"Brewe, Dr. Arthur Jackson",male,,0,0,112379,39.6,,C
+768,0,3,"Mangan, Miss. Mary",female,30.5,0,0,364850,7.75,,Q
+769,0,3,"Moran, Mr. Daniel J",male,,1,0,371110,24.15,,Q
+770,0,3,"Gronnestad, Mr. Daniel Danielsen",male,32,0,0,8471,8.3625,,S
+771,0,3,"Lievens, Mr. Rene Aime",male,24,0,0,345781,9.5,,S
+772,0,3,"Jensen, Mr. Niels Peder",male,48,0,0,350047,7.8542,,S
+773,0,2,"Mack, Mrs. (Mary)",female,57,0,0,S.O./P.P. 3,10.5,E77,S
+774,0,3,"Elias, Mr. Dibo",male,,0,0,2674,7.225,,C
+775,1,2,"Hocking, Mrs. Elizabeth (Eliza Needs)",female,54,1,3,29105,23,,S
+776,0,3,"Myhrman, Mr. Pehr Fabian Oliver Malkolm",male,18,0,0,347078,7.75,,S
+777,0,3,"Tobin, Mr. Roger",male,,0,0,383121,7.75,F38,Q
+778,1,3,"Emanuel, Miss. Virginia Ethel",female,5,0,0,364516,12.475,,S
+779,0,3,"Kilgannon, Mr. Thomas J",male,,0,0,36865,7.7375,,Q
+780,1,1,"Robert, Mrs. Edward Scott (Elisabeth Walton McMillan)",female,43,0,1,24160,211.3375,B3,S
+781,1,3,"Ayoub, Miss. Banoura",female,13,0,0,2687,7.2292,,C
+782,1,1,"Dick, Mrs. Albert Adrian (Vera Gillespie)",female,17,1,0,17474,57,B20,S
+783,0,1,"Long, Mr. Milton Clyde",male,29,0,0,113501,30,D6,S
+784,0,3,"Johnston, Mr. Andrew G",male,,1,2,W./C. 6607,23.45,,S
+785,0,3,"Ali, Mr. William",male,25,0,0,SOTON/O.Q. 3101312,7.05,,S
+786,0,3,"Harmer, Mr. Abraham (David Lishin)",male,25,0,0,374887,7.25,,S
+787,1,3,"Sjoblom, Miss. Anna Sofia",female,18,0,0,3101265,7.4958,,S
+788,0,3,"Rice, Master. George Hugh",male,8,4,1,382652,29.125,,Q
+789,1,3,"Dean, Master. Bertram Vere",male,1,1,2,C.A. 2315,20.575,,S
+790,0,1,"Guggenheim, Mr. Benjamin",male,46,0,0,PC 17593,79.2,B82 B84,C
+791,0,3,"Keane, Mr. Andrew ""Andy""",male,,0,0,12460,7.75,,Q
+792,0,2,"Gaskell, Mr. Alfred",male,16,0,0,239865,26,,S
+793,0,3,"Sage, Miss. Stella Anna",female,,8,2,CA. 2343,69.55,,S
+794,0,1,"Hoyt, Mr. William Fisher",male,,0,0,PC 17600,30.6958,,C
+795,0,3,"Dantcheff, Mr. Ristiu",male,25,0,0,349203,7.8958,,S
+796,0,2,"Otter, Mr. Richard",male,39,0,0,28213,13,,S
+797,1,1,"Leader, Dr. Alice (Farnham)",female,49,0,0,17465,25.9292,D17,S
+798,1,3,"Osman, Mrs. Mara",female,31,0,0,349244,8.6833,,S
+799,0,3,"Ibrahim Shawah, Mr. Yousseff",male,30,0,0,2685,7.2292,,C
+800,0,3,"Van Impe, Mrs. Jean Baptiste (Rosalie Paula Govaert)",female,30,1,1,345773,24.15,,S
+801,0,2,"Ponesell, Mr. Martin",male,34,0,0,250647,13,,S
+802,1,2,"Collyer, Mrs. Harvey (Charlotte Annie Tate)",female,31,1,1,C.A. 31921,26.25,,S
+803,1,1,"Carter, Master. William Thornton II",male,11,1,2,113760,120,B96 B98,S
+804,1,3,"Thomas, Master. Assad Alexander",male,0.42,0,1,2625,8.5167,,C
+805,1,3,"Hedman, Mr. Oskar Arvid",male,27,0,0,347089,6.975,,S
+806,0,3,"Johansson, Mr. Karl Johan",male,31,0,0,347063,7.775,,S
+807,0,1,"Andrews, Mr. Thomas Jr",male,39,0,0,112050,0,A36,S
+808,0,3,"Pettersson, Miss. Ellen Natalia",female,18,0,0,347087,7.775,,S
+809,0,2,"Meyer, Mr. August",male,39,0,0,248723,13,,S
+810,1,1,"Chambers, Mrs. Norman Campbell (Bertha Griggs)",female,33,1,0,113806,53.1,E8,S
+811,0,3,"Alexander, Mr. William",male,26,0,0,3474,7.8875,,S
+812,0,3,"Lester, Mr. James",male,39,0,0,A/4 48871,24.15,,S
+813,0,2,"Slemen, Mr. Richard James",male,35,0,0,28206,10.5,,S
+814,0,3,"Andersson, Miss. Ebba Iris Alfrida",female,6,4,2,347082,31.275,,S
+815,0,3,"Tomlin, Mr. Ernest Portage",male,30.5,0,0,364499,8.05,,S
+816,0,1,"Fry, Mr. Richard",male,,0,0,112058,0,B102,S
+817,0,3,"Heininen, Miss. Wendla Maria",female,23,0,0,STON/O2. 3101290,7.925,,S
+818,0,2,"Mallet, Mr. Albert",male,31,1,1,S.C./PARIS 2079,37.0042,,C
+819,0,3,"Holm, Mr. John Fredrik Alexander",male,43,0,0,C 7075,6.45,,S
+820,0,3,"Skoog, Master. Karl Thorsten",male,10,3,2,347088,27.9,,S
+821,1,1,"Hays, Mrs. Charles Melville (Clara Jennings Gregg)",female,52,1,1,12749,93.5,B69,S
+822,1,3,"Lulic, Mr. Nikola",male,27,0,0,315098,8.6625,,S
+823,0,1,"Reuchlin, Jonkheer. John George",male,38,0,0,19972,0,,S
+824,1,3,"Moor, Mrs. (Beila)",female,27,0,1,392096,12.475,E121,S
+825,0,3,"Panula, Master. Urho Abraham",male,2,4,1,3101295,39.6875,,S
+826,0,3,"Flynn, Mr. John",male,,0,0,368323,6.95,,Q
+827,0,3,"Lam, Mr. Len",male,,0,0,1601,56.4958,,S
+828,1,2,"Mallet, Master. Andre",male,1,0,2,S.C./PARIS 2079,37.0042,,C
+829,1,3,"McCormack, Mr. Thomas Joseph",male,,0,0,367228,7.75,,Q
+830,1,1,"Stone, Mrs. George Nelson (Martha Evelyn)",female,62,0,0,113572,80,B28,
+831,1,3,"Yasbeck, Mrs. Antoni (Selini Alexander)",female,15,1,0,2659,14.4542,,C
+832,1,2,"Richards, Master. George Sibley",male,0.83,1,1,29106,18.75,,S
+833,0,3,"Saad, Mr. Amin",male,,0,0,2671,7.2292,,C
+834,0,3,"Augustsson, Mr. Albert",male,23,0,0,347468,7.8542,,S
+835,0,3,"Allum, Mr. Owen George",male,18,0,0,2223,8.3,,S
+836,1,1,"Compton, Miss. Sara Rebecca",female,39,1,1,PC 17756,83.1583,E49,C
+837,0,3,"Pasic, Mr. Jakob",male,21,0,0,315097,8.6625,,S
+838,0,3,"Sirota, Mr. Maurice",male,,0,0,392092,8.05,,S
+839,1,3,"Chip, Mr. Chang",male,32,0,0,1601,56.4958,,S
+840,1,1,"Marechal, Mr. Pierre",male,,0,0,11774,29.7,C47,C
+841,0,3,"Alhomaki, Mr. Ilmari Rudolf",male,20,0,0,SOTON/O2 3101287,7.925,,S
+842,0,2,"Mudd, Mr. Thomas Charles",male,16,0,0,S.O./P.P. 3,10.5,,S
+843,1,1,"Serepeca, Miss. Augusta",female,30,0,0,113798,31,,C
+844,0,3,"Lemberopolous, Mr. Peter L",male,34.5,0,0,2683,6.4375,,C
+845,0,3,"Culumovic, Mr. Jeso",male,17,0,0,315090,8.6625,,S
+846,0,3,"Abbing, Mr. Anthony",male,42,0,0,C.A. 5547,7.55,,S
+847,0,3,"Sage, Mr. Douglas Bullen",male,,8,2,CA. 2343,69.55,,S
+848,0,3,"Markoff, Mr. Marin",male,35,0,0,349213,7.8958,,C
+849,0,2,"Harper, Rev. John",male,28,0,1,248727,33,,S
+850,1,1,"Goldenberg, Mrs. Samuel L (Edwiga Grabowska)",female,,1,0,17453,89.1042,C92,C
+851,0,3,"Andersson, Master. Sigvard Harald Elias",male,4,4,2,347082,31.275,,S
+852,0,3,"Svensson, Mr. Johan",male,74,0,0,347060,7.775,,S
+853,0,3,"Boulos, Miss. Nourelain",female,9,1,1,2678,15.2458,,C
+854,1,1,"Lines, Miss. Mary Conover",female,16,0,1,PC 17592,39.4,D28,S
+855,0,2,"Carter, Mrs. Ernest Courtenay (Lilian Hughes)",female,44,1,0,244252,26,,S
+856,1,3,"Aks, Mrs. Sam (Leah Rosen)",female,18,0,1,392091,9.35,,S
+857,1,1,"Wick, Mrs. George Dennick (Mary Hitchcock)",female,45,1,1,36928,164.8667,,S
+858,1,1,"Daly, Mr. Peter Denis ",male,51,0,0,113055,26.55,E17,S
+859,1,3,"Baclini, Mrs. Solomon (Latifa Qurban)",female,24,0,3,2666,19.2583,,C
+860,0,3,"Razi, Mr. Raihed",male,,0,0,2629,7.2292,,C
+861,0,3,"Hansen, Mr. Claus Peter",male,41,2,0,350026,14.1083,,S
+862,0,2,"Giles, Mr. Frederick Edward",male,21,1,0,28134,11.5,,S
+863,1,1,"Swift, Mrs. Frederick Joel (Margaret Welles Barron)",female,48,0,0,17466,25.9292,D17,S
+864,0,3,"Sage, Miss. Dorothy Edith ""Dolly""",female,,8,2,CA. 2343,69.55,,S
+865,0,2,"Gill, Mr. John William",male,24,0,0,233866,13,,S
+866,1,2,"Bystrom, Mrs. (Karolina)",female,42,0,0,236852,13,,S
+867,1,2,"Duran y More, Miss. Asuncion",female,27,1,0,SC/PARIS 2149,13.8583,,C
+868,0,1,"Roebling, Mr. Washington Augustus II",male,31,0,0,PC 17590,50.4958,A24,S
+869,0,3,"van Melkebeke, Mr. Philemon",male,,0,0,345777,9.5,,S
+870,1,3,"Johnson, Master. Harold Theodor",male,4,1,1,347742,11.1333,,S
+871,0,3,"Balkic, Mr. Cerin",male,26,0,0,349248,7.8958,,S
+872,1,1,"Beckwith, Mrs. Richard Leonard (Sallie Monypeny)",female,47,1,1,11751,52.5542,D35,S
+873,0,1,"Carlsson, Mr. Frans Olof",male,33,0,0,695,5,B51 B53 B55,S
+874,0,3,"Vander Cruyssen, Mr. Victor",male,47,0,0,345765,9,,S
+875,1,2,"Abelson, Mrs. Samuel (Hannah Wizosky)",female,28,1,0,P/PP 3381,24,,C
+876,1,3,"Najib, Miss. Adele Kiamie ""Jane""",female,15,0,0,2667,7.225,,C
+877,0,3,"Gustafsson, Mr. Alfred Ossian",male,20,0,0,7534,9.8458,,S
+878,0,3,"Petroff, Mr. Nedelio",male,19,0,0,349212,7.8958,,S
+879,0,3,"Laleff, Mr. Kristo",male,,0,0,349217,7.8958,,S
+880,1,1,"Potter, Mrs. Thomas Jr (Lily Alexenia Wilson)",female,56,0,1,11767,83.1583,C50,C
+881,1,2,"Shelley, Mrs. William (Imanita Parrish Hall)",female,25,0,1,230433,26,,S
+882,0,3,"Markun, Mr. Johann",male,33,0,0,349257,7.8958,,S
+883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S
+884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S
+885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S
+886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q
+887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S
+888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S
+889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S
+890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C
+891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q

data/world-population-by-country-2020.csv

@@ -0,0 +1,236 @@
+no,Country (or dependency),Population 2020,Yearly Change,Net Change,Density  (P/Km²),Land Area (Km²),Migrants (net),Fert. Rate,Med. Age,Urban Pop %,World Share
+1,China,"1,439,323,776",0.39%,"5,540,090",153,"9,388,211","-348,399",1.7,38,61%,18.47%
+2,India,"1,380,004,385",0.99%,"13,586,631",464,"2,973,190","-532,687",2.2,28,35%,17.70%
+3,United States,"331,002,651",0.59%,"1,937,734",36,"9,147,420","954,806",1.8,38,83%,4.25%
+4,Indonesia,"273,523,615",1.07%,"2,898,047",151,"1,811,570","-98,955",2.3,30,56%,3.51%
+5,Pakistan,"220,892,340",2.00%,"4,327,022",287,"770,880","-233,379",3.6,23,35%,2.83%
+6,Brazil,"212,559,417",0.72%,"1,509,890",25,"8,358,140","21,200",1.7,33,88%,2.73%
+7,Nigeria,"206,139,589",2.58%,"5,175,990",226,"910,770","-60,000",5.4,18,52%,2.64%
+8,Bangladesh,"164,689,383",1.01%,"1,643,222","1,265","130,170","-369,501",2.1,28,39%,2.11%
+9,Russia,"145,934,462",0.04%,"62,206",9,"16,376,870","182,456",1.8,40,74%,1.87%
+10,Mexico,"128,932,753",1.06%,"1,357,224",66,"1,943,950","-60,000",2.1,29,84%,1.65%
+11,Japan,"126,476,461",-0.30%,"-383,840",347,"364,555","71,560",1.4,48,92%,1.62%
+12,Ethiopia,"114,963,588",2.57%,"2,884,858",115,"1,000,000","30,000",4.3,19,21%,1.47%
+13,Philippines,"109,581,078",1.35%,"1,464,463",368,"298,170","-67,152",2.6,26,47%,1.41%
+14,Egypt,"102,334,404",1.94%,"1,946,331",103,"995,450","-38,033",3.3,25,43%,1.31%
+15,Vietnam,"97,338,579",0.91%,"876,473",314,"310,070","-80,000",2.1,32,38%,1.25%
+16,DR Congo,"89,561,403",3.19%,"2,770,836",40,"2,267,050","23,861",6,17,46%,1.15%
+17,Turkey,"84,339,067",1.09%,"909,452",110,"769,630","283,922",2.1,32,76%,1.08%
+18,Iran,"83,992,949",1.30%,"1,079,043",52,"1,628,550","-55,000",2.2,32,76%,1.08%
+19,Germany,"83,783,942",0.32%,"266,897",240,"348,560","543,822",1.6,46,76%,1.07%
+20,Thailand,"69,799,978",0.25%,"174,396",137,"510,890","19,444",1.5,40,51%,0.90%
+21,United Kingdom,"67,886,011",0.53%,"355,839",281,"241,930","260,650",1.8,40,83%,0.87%
+22,France,"65,273,511",0.22%,"143,783",119,"547,557","36,527",1.9,42,82%,0.84%
+23,Italy,"60,461,826",-0.15%,"-88,249",206,"294,140","148,943",1.3,47,69%,0.78%
+24,Tanzania,"59,734,218",2.98%,"1,728,755",67,"885,800","-40,076",4.9,18,37%,0.77%
+25,South Africa,"59,308,690",1.28%,"750,420",49,"1,213,090","145,405",2.4,28,67%,0.76%
+26,Myanmar,"54,409,800",0.67%,"364,380",83,"653,290","-163,313",2.2,29,31%,0.70%
+27,Kenya,"53,771,296",2.28%,"1,197,323",94,"569,140","-10,000",3.5,20,28%,0.69%
+28,South Korea,"51,269,185",0.09%,"43,877",527,"97,230","11,731",1.1,44,82%,0.66%
+29,Colombia,"50,882,891",1.08%,"543,448",46,"1,109,500","204,796",1.8,31,80%,0.65%
+30,Spain,"46,754,778",0.04%,"18,002",94,"498,800","40,000",1.3,45,80%,0.60%
+31,Uganda,"45,741,007",3.32%,"1,471,413",229,"199,810","168,694",5,17,26%,0.59%
+32,Argentina,"45,195,774",0.93%,"415,097",17,"2,736,690","4,800",2.3,32,93%,0.58%
+33,Algeria,"43,851,044",1.85%,"797,990",18,"2,381,740","-10,000",3.1,29,73%,0.56%
+34,Sudan,"43,849,260",2.42%,"1,036,022",25,"1,765,048","-50,000",4.4,20,35%,0.56%
+35,Ukraine,"43,733,762",-0.59%,"-259,876",75,"579,320","10,000",1.4,41,69%,0.56%
+36,Iraq,"40,222,493",2.32%,"912,710",93,"434,320","7,834",3.7,21,73%,0.52%
+37,Afghanistan,"38,928,346",2.33%,"886,592",60,"652,860","-62,920",4.6,18,25%,0.50%
+38,Poland,"37,846,611",-0.11%,"-41,157",124,"306,230","-29,395",1.4,42,60%,0.49%
+39,Canada,"37,742,154",0.89%,"331,107",4,"9,093,510","242,032",1.5,41,81%,0.48%
+40,Morocco,"36,910,560",1.20%,"438,791",83,"446,300","-51,419",2.4,30,64%,0.47%
+41,Saudi Arabia,"34,813,871",1.59%,"545,343",16,"2,149,690","134,979",2.3,32,84%,0.45%
+42,Uzbekistan,"33,469,203",1.48%,"487,487",79,"425,400","-8,863",2.4,28,50%,0.43%
+43,Peru,"32,971,854",1.42%,"461,401",26,"1,280,000","99,069",2.3,31,79%,0.42%
+44,Angola,"32,866,272",3.27%,"1,040,977",26,"1,246,700","6,413",5.6,17,67%,0.42%
+45,Malaysia,"32,365,999",1.30%,"416,222",99,"328,550","50,000",2,30,78%,0.42%
+46,Mozambique,"31,255,435",2.93%,"889,399",40,"786,380","-5,000",4.9,18,38%,0.40%
+47,Ghana,"31,072,940",2.15%,"655,084",137,"227,540","-10,000",3.9,22,57%,0.40%
+48,Yemen,"29,825,964",2.28%,"664,042",56,"527,970","-30,000",3.8,20,38%,0.38%
+49,Nepal,"29,136,808",1.85%,"528,098",203,"143,350","41,710",1.9,25,21%,0.37%
+50,Venezuela,"28,435,940",-0.28%,"-79,889",32,"882,050","-653,249",2.3,30,N.A.,0.36%
+51,Madagascar,"27,691,018",2.68%,"721,711",48,"581,795","-1,500",4.1,20,39%,0.36%
+52,Cameroon,"26,545,863",2.59%,"669,483",56,"472,710","-4,800",4.6,19,56%,0.34%
+53,Côte d'Ivoire,"26,378,274",2.57%,"661,730",83,"318,000","-8,000",4.7,19,51%,0.34%
+54,North Korea,"25,778,816",0.44%,"112,655",214,"120,410","-5,403",1.9,35,63%,0.33%
+55,Australia,"25,499,884",1.18%,"296,686",3,"7,682,300","158,246",1.8,38,86%,0.33%
+56,Niger,"24,206,644",3.84%,"895,929",19,"1,266,700","4,000",7,15,17%,0.31%
+57,Taiwan,"23,816,775",0.18%,"42,899",673,"35,410","30,001",1.2,42,79%,0.31%
+58,Sri Lanka,"21,413,249",0.42%,"89,516",341,"62,710","-97,986",2.2,34,18%,0.27%
+59,Burkina Faso,"20,903,273",2.86%,"581,895",76,"273,600","-25,000",5.2,18,31%,0.27%
+60,Mali,"20,250,833",3.02%,"592,802",17,"1,220,190","-40,000",5.9,16,44%,0.26%
+61,Romania,"19,237,691",-0.66%,"-126,866",84,"230,170","-73,999",1.6,43,55%,0.25%
+62,Malawi,"19,129,952",2.69%,"501,205",203,"94,280","-16,053",4.3,18,18%,0.25%
+63,Chile,"19,116,201",0.87%,"164,163",26,"743,532","111,708",1.7,35,85%,0.25%
+64,Kazakhstan,"18,776,707",1.21%,"225,280",7,"2,699,700","-18,000",2.8,31,58%,0.24%
+65,Zambia,"18,383,955",2.93%,"522,925",25,"743,390","-8,000",4.7,18,45%,0.24%
+66,Guatemala,"17,915,568",1.90%,"334,096",167,"107,160","-9,215",2.9,23,52%,0.23%
+67,Ecuador,"17,643,054",1.55%,"269,392",71,"248,360","36,400",2.4,28,63%,0.23%
+68,Syria,"17,500,658",2.52%,"430,523",95,"183,630","-427,391",2.8,26,60%,0.22%
+69,Netherlands,"17,134,872",0.22%,"37,742",508,"33,720","16,000",1.7,43,92%,0.22%
+70,Senegal,"16,743,927",2.75%,"447,563",87,"192,530","-20,000",4.7,19,49%,0.21%
+71,Cambodia,"16,718,965",1.41%,"232,423",95,"176,520","-30,000",2.5,26,24%,0.21%
+72,Chad,"16,425,864",3.00%,"478,988",13,"1,259,200","2,000",5.8,17,23%,0.21%
+73,Somalia,"15,893,222",2.92%,"450,317",25,"627,340","-40,000",6.1,17,47%,0.20%
+74,Zimbabwe,"14,862,924",1.48%,"217,456",38,"386,850","-116,858",3.6,19,38%,0.19%
+75,Guinea,"13,132,795",2.83%,"361,549",53,"245,720","-4,000",4.7,18,39%,0.17%
+76,Rwanda,"12,952,218",2.58%,"325,268",525,"24,670","-9,000",4.1,20,18%,0.17%
+77,Benin,"12,123,200",2.73%,"322,049",108,"112,760","-2,000",4.9,19,48%,0.16%
+78,Burundi,"11,890,784",3.12%,"360,204",463,"25,680","2,001",5.5,17,14%,0.15%
+79,Tunisia,"11,818,619",1.06%,"123,900",76,"155,360","-4,000",2.2,33,70%,0.15%
+80,Bolivia,"11,673,021",1.39%,"159,921",11,"1,083,300","-9,504",2.8,26,69%,0.15%
+81,Belgium,"11,589,623",0.44%,"50,295",383,"30,280","48,000",1.7,42,98%,0.15%
+82,Haiti,"11,402,528",1.24%,"139,451",414,"27,560","-35,000",3,24,57%,0.15%
+83,Cuba,"11,326,616",-0.06%,"-6,867",106,"106,440","-14,400",1.6,42,78%,0.15%
+84,South Sudan,"11,193,725",1.19%,"131,612",18,"610,952","-174,200",4.7,19,25%,0.14%
+85,Dominican Republic,"10,847,910",1.01%,"108,952",225,"48,320","-30,000",2.4,28,85%,0.14%
+86,Czech Republic (Czechia),"10,708,981",0.18%,"19,772",139,"77,240","22,011",1.6,43,74%,0.14%
+87,Greece,"10,423,054",-0.48%,"-50,401",81,"128,900","-16,000",1.3,46,85%,0.13%
+88,Jordan,"10,203,134",1.00%,"101,440",115,"88,780","10,220",2.8,24,91%,0.13%
+89,Portugal,"10,196,709",-0.29%,"-29,478",111,"91,590","-6,000",1.3,46,66%,0.13%
+90,Azerbaijan,"10,139,177",0.91%,"91,459",123,"82,658","1,200",2.1,32,56%,0.13%
+91,Sweden,"10,099,265",0.63%,"62,886",25,"410,340","40,000",1.9,41,88%,0.13%
+92,Honduras,"9,904,607",1.63%,"158,490",89,"111,890","-6,800",2.5,24,57%,0.13%
+93,United Arab Emirates,"9,890,402",1.23%,"119,873",118,"83,600","40,000",1.4,33,86%,0.13%
+94,Hungary,"9,660,351",-0.25%,"-24,328",107,"90,530","6,000",1.5,43,72%,0.12%
+95,Tajikistan,"9,537,645",2.32%,"216,627",68,"139,960","-20,000",3.6,22,27%,0.12%
+96,Belarus,"9,449,323",-0.03%,"-3,088",47,"202,910","8,730",1.7,40,79%,0.12%
+97,Austria,"9,006,398",0.57%,"51,296",109,"82,409","65,000",1.5,43,57%,0.12%
+98,Papua New Guinea,"8,947,024",1.95%,"170,915",20,"452,860",-800,3.6,22,13%,0.11%
+99,Serbia,"8,737,371",-0.40%,"-34,864",100,"87,460","4,000",1.5,42,56%,0.11%
+100,Israel,"8,655,535",1.60%,"136,158",400,"21,640","10,000",3,30,93%,0.11%
+101,Switzerland,"8,654,622",0.74%,"63,257",219,"39,516","52,000",1.5,43,74%,0.11%
+102,Togo,"8,278,724",2.43%,"196,358",152,"54,390","-2,000",4.4,19,43%,0.11%
+103,Sierra Leone,"7,976,983",2.10%,"163,768",111,"72,180","-4,200",4.3,19,43%,0.10%
+104,Hong Kong,"7,496,981",0.82%,"60,827","7,140","1,050","29,308",1.3,45,N.A.,0.10%
+105,Laos,"7,275,560",1.48%,"106,105",32,"230,800","-14,704",2.7,24,36%,0.09%
+106,Paraguay,"7,132,538",1.25%,"87,902",18,"397,300","-16,556",2.4,26,62%,0.09%
+107,Bulgaria,"6,948,445",-0.74%,"-51,674",64,"108,560","-4,800",1.6,45,76%,0.09%
+108,Libya,"6,871,292",1.38%,"93,840",4,"1,759,540","-1,999",2.3,29,78%,0.09%
+109,Lebanon,"6,825,445",-0.44%,"-30,268",667,"10,230","-30,012",2.1,30,78%,0.09%
+110,Nicaragua,"6,624,554",1.21%,"79,052",55,"120,340","-21,272",2.4,26,57%,0.08%
+111,Kyrgyzstan,"6,524,195",1.69%,"108,345",34,"191,800","-4,000",3,26,36%,0.08%
+112,El Salvador,"6,486,205",0.51%,"32,652",313,"20,720","-40,539",2.1,28,73%,0.08%
+113,Turkmenistan,"6,031,200",1.50%,"89,111",13,"469,930","-5,000",2.8,27,53%,0.08%
+114,Singapore,"5,850,342",0.79%,"46,005","8,358",700,"27,028",1.2,42,N.A.,0.08%
+115,Denmark,"5,792,202",0.35%,"20,326",137,"42,430","15,200",1.8,42,88%,0.07%
+116,Finland,"5,540,720",0.15%,"8,564",18,"303,890","14,000",1.5,43,86%,0.07%
+117,Congo,"5,518,087",2.56%,"137,579",16,"341,500","-4,000",4.5,19,70%,0.07%
+118,Slovakia,"5,459,642",0.05%,"2,629",114,"48,088","1,485",1.5,41,54%,0.07%
+119,Norway,"5,421,241",0.79%,"42,384",15,"365,268","28,000",1.7,40,83%,0.07%
+120,Oman,"5,106,626",2.65%,"131,640",16,"309,500","87,400",2.9,31,87%,0.07%
+121,State of Palestine,"5,101,414",2.41%,"119,994",847,"6,020","-10,563",3.7,21,80%,0.07%
+122,Costa Rica,"5,094,118",0.92%,"46,557",100,"51,060","4,200",1.8,33,80%,0.07%
+123,Liberia,"5,057,681",2.44%,"120,307",53,"96,320","-5,000",4.4,19,53%,0.06%
+124,Ireland,"4,937,786",1.13%,"55,291",72,"68,890","23,604",1.8,38,63%,0.06%
+125,Central African Republic,"4,829,767",1.78%,"84,582",8,"622,980","-40,000",4.8,18,43%,0.06%
+126,New Zealand,"4,822,233",0.82%,"39,170",18,"263,310","14,881",1.9,38,87%,0.06%
+127,Mauritania,"4,649,658",2.74%,"123,962",5,"1,030,700","5,000",4.6,20,57%,0.06%
+128,Panama,"4,314,767",1.61%,"68,328",58,"74,340","11,200",2.5,30,68%,0.06%
+129,Kuwait,"4,270,571",1.51%,"63,488",240,"17,820","39,520",2.1,37,N.A.,0.05%
+130,Croatia,"4,105,267",-0.61%,"-25,037",73,"55,960","-8,001",1.4,44,58%,0.05%
+131,Moldova,"4,033,963",-0.23%,"-9,300",123,"32,850","-1,387",1.3,38,43%,0.05%
+132,Georgia,"3,989,167",-0.19%,"-7,598",57,"69,490","-10,000",2.1,38,58%,0.05%
+133,Eritrea,"3,546,421",1.41%,"49,304",35,"101,000","-39,858",4.1,19,63%,0.05%
+134,Uruguay,"3,473,730",0.35%,"11,996",20,"175,020","-3,000",2,36,96%,0.04%
+135,Bosnia and Herzegovina,"3,280,819",-0.61%,"-20,181",64,"51,000","-21,585",1.3,43,52%,0.04%
+136,Mongolia,"3,278,290",1.65%,"53,123",2,"1,553,560",-852,2.9,28,67%,0.04%
+137,Armenia,"2,963,243",0.19%,"5,512",104,"28,470","-4,998",1.8,35,63%,0.04%
+138,Jamaica,"2,961,167",0.44%,"12,888",273,"10,830","-11,332",2,31,55%,0.04%
+139,Qatar,"2,881,053",1.73%,"48,986",248,"11,610","40,000",1.9,32,96%,0.04%
+140,Albania,"2,877,797",-0.11%,"-3,120",105,"27,400","-14,000",1.6,36,63%,0.04%
+141,Puerto Rico,"2,860,853",-2.47%,"-72,555",323,"8,870","-97,986",1.2,44,N.A.,0.04%
+142,Lithuania,"2,722,289",-1.35%,"-37,338",43,"62,674","-32,780",1.7,45,71%,0.03%
+143,Namibia,"2,540,905",1.86%,"46,375",3,"823,290","-4,806",3.4,22,55%,0.03%
+144,Gambia,"2,416,668",2.94%,"68,962",239,"10,120","-3,087",5.3,18,59%,0.03%
+145,Botswana,"2,351,627",2.08%,"47,930",4,"566,730","3,000",2.9,24,73%,0.03%
+146,Gabon,"2,225,734",2.45%,"53,155",9,"257,670","3,260",4,23,87%,0.03%
+147,Lesotho,"2,142,249",0.80%,"16,981",71,"30,360","-10,047",3.2,24,31%,0.03%
+148,North Macedonia,"2,083,374",0.00%,-85,83,"25,220","-1,000",1.5,39,59%,0.03%
+149,Slovenia,"2,078,938",0.01%,284,103,"20,140","2,000",1.6,45,55%,0.03%
+150,Guinea-Bissau,"1,968,001",2.45%,"47,079",70,"28,120","-1,399",4.5,19,45%,0.03%
+151,Latvia,"1,886,198",-1.08%,"-20,545",30,"62,200","-14,837",1.7,44,69%,0.02%
+152,Bahrain,"1,701,575",3.68%,"60,403","2,239",760,"47,800",2,32,89%,0.02%
+153,Equatorial Guinea,"1,402,985",3.47%,"46,999",50,"28,050","16,000",4.6,22,73%,0.02%
+154,Trinidad and Tobago,"1,399,488",0.32%,"4,515",273,"5,130",-800,1.7,36,52%,0.02%
+155,Estonia,"1,326,535",0.07%,887,31,"42,390","3,911",1.6,42,68%,0.02%
+156,Timor-Leste,"1,318,445",1.96%,"25,326",89,"14,870","-5,385",4.1,21,33%,0.02%
+157,Mauritius,"1,271,768",0.17%,"2,100",626,"2,030",0,1.4,37,41%,0.02%
+158,Cyprus,"1,207,359",0.73%,"8,784",131,"9,240","5,000",1.3,37,67%,0.02%
+159,Eswatini,"1,160,164",1.05%,"12,034",67,"17,200","-8,353",3,21,30%,0.01%
+160,Djibouti,"988,000",1.48%,"14,440",43,"23,180",900,2.8,27,79%,0.01%
+161,Fiji,"896,445",0.73%,"6,492",49,"18,270","-6,202",2.8,28,59%,0.01%
+162,Réunion,"895,312",0.72%,"6,385",358,"2,500","-1,256",2.3,36,100%,0.01%
+163,Comoros,"869,601",2.20%,"18,715",467,"1,861","-2,000",4.2,20,29%,0.01%
+164,Guyana,"786,552",0.48%,"3,786",4,"196,850","-6,000",2.5,27,27%,0.01%
+165,Bhutan,"771,608",1.12%,"8,516",20,"38,117",320,2,28,46%,0.01%
+166,Solomon Islands,"686,884",2.55%,"17,061",25,"27,990","-1,600",4.4,20,23%,0.01%
+167,Macao,"649,335",1.39%,"8,890","21,645",30,"5,000",1.2,39,N.A.,0.01%
+168,Montenegro,"628,066",0.01%,79,47,"13,450",-480,1.8,39,68%,0.01%
+169,Luxembourg,"625,978",1.66%,"10,249",242,"2,590","9,741",1.5,40,88%,0.01%
+170,Western Sahara,"597,339",2.55%,"14,876",2,"266,000","5,582",2.4,28,87%,0.01%
+171,Suriname,"586,632",0.90%,"5,260",4,"156,000","-1,000",2.4,29,65%,0.01%
+172,Cabo Verde,"555,987",1.10%,"6,052",138,"4,030","-1,342",2.3,28,68%,0.01%
+173,Micronesia,"548,914",1.00%,"5,428",784,700,"-2,957",2.9,27,68%,0.01%
+174,Maldives,"540,544",1.81%,"9,591","1,802",300,"11,370",1.9,30,35%,0.01%
+175,Malta,"441,543",0.27%,"1,171","1,380",320,900,1.5,43,93%,0.01%
+176,Brunei,"437,479",0.97%,"4,194",83,"5,270",0,1.8,32,80%,0.01%
+177,Guadeloupe,"400,124",0.02%,68,237,"1,690","-1,440",2.2,44,N.A.,0.01%
+178,Belize,"397,628",1.86%,"7,275",17,"22,810","1,200",2.3,25,46%,0.01%
+179,Bahamas,"393,244",0.97%,"3,762",39,"10,010","1,000",1.8,32,86%,0.01%
+180,Martinique,"375,265",-0.08%,-289,354,"1,060",-960,1.9,47,92%,0.00%
+181,Iceland,"341,243",0.65%,"2,212",3,"100,250",380,1.8,37,94%,0.00%
+182,Vanuatu,"307,145",2.42%,"7,263",25,"12,190",120,3.8,21,24%,0.00%
+183,French Guiana,"298,682",2.70%,"7,850",4,"82,200","1,200",3.4,25,87%,0.00%
+184,Barbados,"287,375",0.12%,350,668,430,-79,1.6,40,31%,0.00%
+185,New Caledonia,"285,498",0.97%,"2,748",16,"18,280",502,2,34,72%,0.00%
+186,French Polynesia,"280,908",0.58%,"1,621",77,"3,660","-1,000",2,34,64%,0.00%
+187,Mayotte,"272,815",2.50%,"6,665",728,375,0,3.7,20,46%,0.00%
+188,Sao Tome & Principe,"219,159",1.91%,"4,103",228,960,"-1,680",4.4,19,74%,0.00%
+189,Samoa,"198,414",0.67%,"1,317",70,"2,830","-2,803",3.9,22,18%,0.00%
+190,Saint Lucia,"183,627",0.46%,837,301,610,0,1.4,34,19%,0.00%
+191,Channel Islands,"173,863",0.93%,"1,604",915,190,"1,351",1.5,43,30%,0.00%
+192,Guam,"168,775",0.89%,"1,481",313,540,-506,2.3,31,95%,0.00%
+193,Curaçao,"164,093",0.41%,669,370,444,515,1.8,42,89%,0.00%
+194,Kiribati,"119,449",1.57%,"1,843",147,810,-800,3.6,23,57%,0.00%
+195,Grenada,"112,523",0.46%,520,331,340,-200,2.1,32,35%,0.00%
+196,St. Vincent & Grenadines,"110,940",0.32%,351,284,390,-200,1.9,33,53%,0.00%
+197,Aruba,"106,766",0.43%,452,593,180,201,1.9,41,44%,0.00%
+198,Tonga,"105,695",1.15%,"1,201",147,720,-800,3.6,22,24%,0.00%
+199,U.S. Virgin Islands,"104,425",-0.15%,-153,298,350,-451,2,43,96%,0.00%
+200,Seychelles,"98,347",0.62%,608,214,460,-200,2.5,34,56%,0.00%
+201,Antigua and Barbuda,"97,929",0.84%,811,223,440,0,2,34,26%,0.00%
+202,Isle of Man,"85,033",0.53%,449,149,570,,N.A.,N.A.,53%,0.00%
+203,Andorra,"77,265",0.16%,123,164,470,,N.A.,N.A.,88%,0.00%
+204,Dominica,"71,986",0.25%,178,96,750,,N.A.,N.A.,74%,0.00%
+205,Cayman Islands,"65,722",1.19%,774,274,240,,N.A.,N.A.,97%,0.00%
+206,Bermuda,"62,278",-0.36%,-228,"1,246",50,,N.A.,N.A.,97%,0.00%
+207,Marshall Islands,"59,190",0.68%,399,329,180,,N.A.,N.A.,70%,0.00%
+208,Northern Mariana Islands,"57,559",0.60%,343,125,460,,N.A.,N.A.,88%,0.00%
+209,Greenland,"56,770",0.17%,98,0,"410,450",,N.A.,N.A.,87%,0.00%
+210,American Samoa,"55,191",-0.22%,-121,276,200,,N.A.,N.A.,88%,0.00%
+211,Saint Kitts & Nevis,"53,199",0.71%,376,205,260,,N.A.,N.A.,33%,0.00%
+212,Faeroe Islands,"48,863",0.38%,185,35,"1,396",,N.A.,N.A.,43%,0.00%
+213,Sint Maarten,"42,876",1.15%,488,"1,261",34,,N.A.,N.A.,96%,0.00%
+214,Monaco,"39,242",0.71%,278,"26,337",1,,N.A.,N.A.,N.A.,0.00%
+215,Turks and Caicos,"38,717",1.38%,526,41,950,,N.A.,N.A.,89%,0.00%
+216,Saint Martin,"38,666",1.75%,664,730,53,,N.A.,N.A.,0%,0.00%
+217,Liechtenstein,"38,128",0.29%,109,238,160,,N.A.,N.A.,15%,0.00%
+218,San Marino,"33,931",0.21%,71,566,60,,N.A.,N.A.,97%,0.00%
+219,Gibraltar,"33,691",-0.03%,-10,"3,369",10,,N.A.,N.A.,N.A.,0.00%
+220,British Virgin Islands,"30,231",0.67%,201,202,150,,N.A.,N.A.,52%,0.00%
+221,Caribbean Netherlands,"26,223",0.94%,244,80,328,,N.A.,N.A.,75%,0.00%
+222,Palau,"18,094",0.48%,86,39,460,,N.A.,N.A.,N.A.,0.00%
+223,Cook Islands,"17,564",0.09%,16,73,240,,N.A.,N.A.,75%,0.00%
+224,Anguilla,"15,003",0.90%,134,167,90,,N.A.,N.A.,N.A.,0.00%
+225,Tuvalu,"11,792",1.25%,146,393,30,,N.A.,N.A.,62%,0.00%
+226,Wallis & Futuna,"11,239",-1.69%,-193,80,140,,N.A.,N.A.,0%,0.00%
+227,Nauru,"10,824",0.63%,68,541,20,,N.A.,N.A.,N.A.,0.00%
+228,Saint Barthelemy,"9,877",0.30%,30,470,21,,N.A.,N.A.,0%,0.00%
+229,Saint Helena,"6,077",0.30%,18,16,390,,N.A.,N.A.,27%,0.00%
+230,Saint Pierre & Miquelon,"5,794",-0.48%,-28,25,230,,N.A.,N.A.,100%,0.00%
+231,Montserrat,"4,992",0.06%,3,50,100,,N.A.,N.A.,10%,0.00%
+232,Falkland Islands,"3,480",3.05%,103,0,"12,170",,N.A.,N.A.,66%,0.00%
+233,Niue,"1,626",0.68%,11,6,260,,N.A.,N.A.,46%,0.00%
+234,Tokelau,"1,357",1.27%,17,136,10,,N.A.,N.A.,0%,0.00%
+235,Holy See,801,0.25%,2,"2,003",0,,N.A.,N.A.,N.A.,0.00%

data/world-population-forcast-2020-2050.csv

@@ -0,0 +1,8 @@
+Year,Population,Yearly %,Yearly,Median,Fertility,Density
+2020,"7,794,798,739",1.10%,"83,000,320",31,2.47,52
+2025,"8,184,437,460",0.98%,"77,927,744",32,2.54,55
+2030,"8,548,487,400",0.87%,"72,809,988",33,2.62,57
+2035,"8,887,524,213",0.78%,"67,807,363",34,2.7,60
+2040,"9,198,847,240",0.69%,"62,264,605",35,2.77,62
+2045,"9,481,803,274",0.61%,"56,591,207",35,2.85,64
+2050,"9,735,033,990",0.53%,"50,646,143",36,2.95,65

mai

@@ -1 +0,0 @@
-Subproject commit 28c17ca62774e3c8666acecf0a6c83e24b27d67f

poetry.toml

@@ -0,0 +1,2 @@
+[virtualenvs]
+in-project = true

pyproject.toml

@@ -0,0 +1,24 @@
+[tool.poetry]
+name = "mai"
+version = "1.0.0"
+description = "MAI Examples"
+authors = ["Aleksey Filippov <al.filippov@ulstu.ru>"]
+readme = "readme.md"
+package-mode = false
+
+[tool.poetry.dependencies]
+python = "^3.12"
+jupyter = "^1.1.1"
+numpy = "^2.1.0"
+pandas = "^2.2.2"
+matplotlib = "^3.9.2"
+flask = "^3.0.3"
+apiflask = "^2.2.0"
+flask-cors = "^5.0.0"
+scikit-learn = "^1.5.2"
+imbalanced-learn = "^0.12.3"
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"

readme.md

@@ -0,0 +1,55 @@
+## Окружение и примеры для выполнения лабораторных работ по дисциплине "Методы ИИ"
+
+### Python
+
+Используется Python версии 3.12
+
+Установщик https://www.python.org/ftp/python/3.12.5/python-3.12.5-amd64.exe
+
+### Poetry
+
+Для создания и настройки окружения проекта необходимо установить poetry
+
+**Для Windows (Powershell)**
+
+```
+(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
+```
+
+**Linux, macOS, Windows (WSL)**
+
+```
+curl -sSL https://install.python-poetry.org | python3 -
+```
+
+**Добавление poetry в PATH**
+
+1. Открыть настройки переменных среды \
+    \
+   <img src="docs/path1.png" width="300"> \
+    \
+   <img src="docs/path2.png" width="400"> \
+2. Изменить переменную Path текущего пользователя \
+    \
+   <img src="docs/path3.png" width="500"> \
+3. Добавление пути `%APPDATA%\Python\Scripts` до исполняемого файла poetry \
+    \
+   <img src="docs/path4.png" width="400">
+
+### Создание окружения
+
+```
+poetry install
+```
+
+### Запуск тестового сервиса
+
+Запустить тестовый сервис можно с помощью VSCode (см. launch.json в каталоге .vscode).
+
+Также запустить тестовый сервис можно с помощью командной строки:
+
+1. Активация виртуального окружения -- `poetry shell`
+
+2. Запуск сервиса -- `python run.py`
+
+Для выходы из виртуального окружения используется команду `exit`

run.py

@@ -0,0 +1,16 @@
+from backend import create_app
+
+app = create_app()
+
+
+def __main():
+    app.run(
+        host="127.0.0.1",
+        port=8080,
+        debug=True,
+        use_reloader=False,
+    )
+
+
+if __name__ == "__main__":
+    __main()