00w_colab_tutorial.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ai7dnn/2024-1-BDA/blob/main/00w_colab_tutorial.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "U2xdFniao2--"
      },
      "source": [
        "## 텍스트 로 추가\n",
        "## 문법은 md 문법 완전 쉬움!   [여기](https://www.youtube.com/watch?v=kMEb_BzyUqk) 참고\n",
        "- sdsds\n",
        "- 쨋든 여기다 메모 가능합니다\n",
        "- 수식도 지원해요 (tex 문법)\n",
        "- readme.md\n",
        "$f(x) = ax+b$"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FadBk5_sowr6",
        "outputId": "7372e58c-775a-4399-a501-5935f4d5cc01"
      },
      "source": [
        "print(\"Hello!\")"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Hello!\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZSJjdKUhSTMX"
      },
      "source": [],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9zORjtVhpgcI"
      },
      "source": [
        "## 쉬프트+엔터는 셀실행 + 아래 셀 선택\n",
        "\n",
        "주피터 노트북 치트 시트 (cheat sheet) 라고 검색하시면\n",
        "\n",
        "더 많은 단축명령어 볼 수 있음!!!"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-m0Efiizo1ly",
        "outputId": "ed250fee-cc54-4522-af71-f019c19f1eab"
      },
      "source": [
        "a=5\n",
        "a"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8K2lVYqApwrw",
        "outputId": "deae70bc-6751-4628-9e03-7d34bb0d139b"
      },
      "source": [
        "a +=1\n",
        "a\n",
        "# a++ 안됨.."
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "6"
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oxKW76Pyp2iZ"
      },
      "source": [
        "a=6"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r-wTGlSUp3hN"
      },
      "source": [
        "a=10"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kx5F1Xr_qrMU"
      },
      "source": [
        "## 여러가지 패키지 이미 설치되어있음\n",
        "## 리스트를 한번 보자 !pip list"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iCOlpl9Wqwsq",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9b8c3b3f-3132-4f73-dec8-5296a7d9dbc7"
      },
      "source": [
        "!pip list"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Package                          Version\n",
            "-------------------------------- ---------------------\n",
            "absl-py                          1.4.0\n",
            "aiohttp                          3.9.1\n",
            "aiosignal                        1.3.1\n",
            "alabaster                        0.7.16\n",
            "albumentations                   1.3.1\n",
            "altair                           4.2.2\n",
            "anyio                            3.7.1\n",
            "appdirs                          1.4.4\n",
            "argon2-cffi                      23.1.0\n",
            "argon2-cffi-bindings             21.2.0\n",
            "array-record                     0.5.0\n",
            "arviz                            0.15.1\n",
            "astropy                          5.3.4\n",
            "astunparse                       1.6.3\n",
            "async-timeout                    4.0.3\n",
            "atpublic                         4.0\n",
            "attrs                            23.2.0\n",
            "audioread                        3.0.1\n",
            "autograd                         1.6.2\n",
            "Babel                            2.14.0\n",
            "backcall                         0.2.0\n",
            "beautifulsoup4                   4.11.2\n",
            "bidict                           0.22.1\n",
            "bigframes                        0.19.0\n",
            "bleach                           6.1.0\n",
            "blinker                          1.4\n",
            "blis                             0.7.11\n",
            "blosc2                           2.0.0\n",
            "bokeh                            3.3.3\n",
            "bqplot                           0.12.42\n",
            "branca                           0.7.0\n",
            "build                            1.0.3\n",
            "CacheControl                     0.13.1\n",
            "cachetools                       5.3.2\n",
            "catalogue                        2.0.10\n",
            "certifi                          2023.11.17\n",
            "cffi                             1.16.0\n",
            "chardet                          5.2.0\n",
            "charset-normalizer               3.3.2\n",
            "chex                             0.1.7\n",
            "click                            8.1.7\n",
            "click-plugins                    1.1.1\n",
            "cligj                            0.7.2\n",
            "cloudpickle                      2.2.1\n",
            "cmake                            3.27.9\n",
            "cmdstanpy                        1.2.0\n",
            "colorcet                         3.0.1\n",
            "colorlover                       0.3.0\n",
            "colour                           0.1.5\n",
            "community                        1.0.0b1\n",
            "confection                       0.1.4\n",
            "cons                             0.4.6\n",
            "contextlib2                      21.6.0\n",
            "contourpy                        1.2.0\n",
            "cryptography                     41.0.7\n",
            "cufflinks                        0.17.3\n",
            "cupy-cuda12x                     12.2.0\n",
            "cvxopt                           1.3.2\n",
            "cvxpy                            1.3.2\n",
            "cycler                           0.12.1\n",
            "cymem                            2.0.8\n",
            "Cython                           3.0.8\n",
            "dask                             2023.8.1\n",
            "datascience                      0.17.6\n",
            "db-dtypes                        1.2.0\n",
            "dbus-python                      1.2.18\n",
            "debugpy                          1.6.6\n",
            "decorator                        4.4.2\n",
            "defusedxml                       0.7.1\n",
            "diskcache                        5.6.3\n",
            "distributed                      2023.8.1\n",
            "distro                           1.7.0\n",
            "dlib                             19.24.2\n",
            "dm-tree                          0.1.8\n",
            "docutils                         0.18.1\n",
            "dopamine-rl                      4.0.6\n",
            "duckdb                           0.9.2\n",
            "earthengine-api                  0.1.385\n",
            "easydict                         1.11\n",
            "ecos                             2.0.12\n",
            "editdistance                     0.6.2\n",
            "eerepr                           0.0.4\n",
            "en-core-web-sm                   3.6.0\n",
            "entrypoints                      0.4\n",
            "et-xmlfile                       1.1.0\n",
            "etils                            1.6.0\n",
            "etuples                          0.3.9\n",
            "exceptiongroup                   1.2.0\n",
            "fastai                           2.7.13\n",
            "fastcore                         1.5.29\n",
            "fastdownload                     0.0.7\n",
            "fastjsonschema                   2.19.1\n",
            "fastprogress                     1.0.3\n",
            "fastrlock                        0.8.2\n",
            "filelock                         3.13.1\n",
            "fiona                            1.9.5\n",
            "firebase-admin                   5.3.0\n",
            "Flask                            2.2.5\n",
            "flatbuffers                      23.5.26\n",
            "flax                             0.7.5\n",
            "folium                           0.14.0\n",
            "fonttools                        4.47.2\n",
            "frozendict                       2.4.0\n",
            "frozenlist                       1.4.1\n",
            "fsspec                           2023.6.0\n",
            "future                           0.18.3\n",
            "gast                             0.5.4\n",
            "gcsfs                            2023.6.0\n",
            "GDAL                             3.4.3\n",
            "gdown                            4.6.6\n",
            "geemap                           0.30.3\n",
            "gensim                           4.3.2\n",
            "geocoder                         1.38.1\n",
            "geographiclib                    2.0\n",
            "geopandas                        0.13.2\n",
            "geopy                            2.3.0\n",
            "gin-config                       0.5.0\n",
            "glob2                            0.7\n",
            "google                           2.0.3\n",
            "google-ai-generativelanguage     0.4.0\n",
            "google-api-core                  2.11.1\n",
            "google-api-python-client         2.84.0\n",
            "google-auth                      2.17.3\n",
            "google-auth-httplib2             0.1.1\n",
            "google-auth-oauthlib             1.2.0\n",
            "google-cloud-aiplatform          1.39.0\n",
            "google-cloud-bigquery            3.12.0\n",
            "google-cloud-bigquery-connection 1.12.1\n",
            "google-cloud-bigquery-storage    2.24.0\n",
            "google-cloud-core                2.3.3\n",
            "google-cloud-datastore           2.15.2\n",
            "google-cloud-firestore           2.11.1\n",
            "google-cloud-functions           1.13.3\n",
            "google-cloud-iam                 2.13.0\n",
            "google-cloud-language            2.9.1\n",
            "google-cloud-resource-manager    1.11.0\n",
            "google-cloud-storage             2.8.0\n",
            "google-cloud-translate           3.11.3\n",
            "google-colab                     1.0.0\n",
            "google-crc32c                    1.5.0\n",
            "google-generativeai              0.3.2\n",
            "google-pasta                     0.2.0\n",
            "google-resumable-media           2.7.0\n",
            "googleapis-common-protos         1.62.0\n",
            "googledrivedownloader            0.4\n",
            "graphviz                         0.20.1\n",
            "greenlet                         3.0.3\n",
            "grpc-google-iam-v1               0.13.0\n",
            "grpcio                           1.60.0\n",
            "grpcio-status                    1.48.2\n",
            "gspread                          3.4.2\n",
            "gspread-dataframe                3.3.1\n",
            "gym                              0.25.2\n",
            "gym-notices                      0.0.8\n",
            "h5netcdf                         1.3.0\n",
            "h5py                             3.9.0\n",
            "holidays                         0.40\n",
            "holoviews                        1.17.1\n",
            "html5lib                         1.1\n",
            "httpimport                       1.3.1\n",
            "httplib2                         0.22.0\n",
            "huggingface-hub                  0.20.2\n",
            "humanize                         4.7.0\n",
            "hyperopt                         0.2.7\n",
            "ibis-framework                   7.1.0\n",
            "idna                             3.6\n",
            "imageio                          2.31.6\n",
            "imageio-ffmpeg                   0.4.9\n",
            "imagesize                        1.4.1\n",
            "imbalanced-learn                 0.10.1\n",
            "imgaug                           0.4.0\n",
            "importlib-metadata               7.0.1\n",
            "importlib-resources              6.1.1\n",
            "imutils                          0.5.4\n",
            "inflect                          7.0.0\n",
            "iniconfig                        2.0.0\n",
            "install                          1.3.5\n",
            "intel-openmp                     2023.2.3\n",
            "ipyevents                        2.0.2\n",
            "ipyfilechooser                   0.6.0\n",
            "ipykernel                        5.5.6\n",
            "ipyleaflet                       0.18.1\n",
            "ipython                          7.34.0\n",
            "ipython-genutils                 0.2.0\n",
            "ipython-sql                      0.5.0\n",
            "ipytree                          0.2.2\n",
            "ipywidgets                       7.7.1\n",
            "itsdangerous                     2.1.2\n",
            "jax                              0.4.23\n",
            "jaxlib                           0.4.23+cuda12.cudnn89\n",
            "jeepney                          0.7.1\n",
            "jieba                            0.42.1\n",
            "Jinja2                           3.1.3\n",
            "joblib                           1.3.2\n",
            "jsonpickle                       3.0.2\n",
            "jsonschema                       4.19.2\n",
            "jsonschema-specifications        2023.12.1\n",
            "jupyter-client                   6.1.12\n",
            "jupyter-console                  6.1.0\n",
            "jupyter_core                     5.7.1\n",
            "jupyter-server                   1.24.0\n",
            "jupyterlab_pygments              0.3.0\n",
            "jupyterlab-widgets               3.0.9\n",
            "kaggle                           1.5.16\n",
            "kagglehub                        0.1.5\n",
            "keras                            2.15.0\n",
            "keyring                          23.5.0\n",
            "kiwisolver                       1.4.5\n",
            "langcodes                        3.3.0\n",
            "launchpadlib                     1.10.16\n",
            "lazr.restfulclient               0.14.4\n",
            "lazr.uri                         1.0.6\n",
            "lazy_loader                      0.3\n",
            "libclang                         16.0.6\n",
            "librosa                          0.10.1\n",
            "lida                             0.0.10\n",
            "lightgbm                         4.1.0\n",
            "linkify-it-py                    2.0.2\n",
            "llmx                             0.0.15a0\n",
            "llvmlite                         0.41.1\n",
            "locket                           1.0.0\n",
            "logical-unification              0.4.6\n",
            "lxml                             4.9.4\n",
            "malloy                           2023.1067\n",
            "Markdown                         3.5.2\n",
            "markdown-it-py                   3.0.0\n",
            "MarkupSafe                       2.1.3\n",
            "matplotlib                       3.7.1\n",
            "matplotlib-inline                0.1.6\n",
            "matplotlib-venn                  0.11.9\n",
            "mdit-py-plugins                  0.4.0\n",
            "mdurl                            0.1.2\n",
            "miniKanren                       1.0.3\n",
            "missingno                        0.5.2\n",
            "mistune                          0.8.4\n",
            "mizani                           0.9.3\n",
            "mkl                              2023.2.0\n",
            "ml-dtypes                        0.2.0\n",
            "mlxtend                          0.22.0\n",
            "more-itertools                   10.1.0\n",
            "moviepy                          1.0.3\n",
            "mpmath                           1.3.0\n",
            "msgpack                          1.0.7\n",
            "multidict                        6.0.4\n",
            "multipledispatch                 1.0.0\n",
            "multitasking                     0.0.11\n",
            "murmurhash                       1.0.10\n",
            "music21                          9.1.0\n",
            "natsort                          8.4.0\n",
            "nbclassic                        1.0.0\n",
            "nbclient                         0.9.0\n",
            "nbconvert                        6.5.4\n",
            "nbformat                         5.9.2\n",
            "nest-asyncio                     1.5.8\n",
            "networkx                         3.2.1\n",
            "nibabel                          4.0.2\n",
            "nltk                             3.8.1\n",
            "notebook                         6.5.5\n",
            "notebook_shim                    0.2.3\n",
            "numba                            0.58.1\n",
            "numexpr                          2.8.8\n",
            "numpy                            1.23.5\n",
            "oauth2client                     4.1.3\n",
            "oauthlib                         3.2.2\n",
            "opencv-contrib-python            4.8.0.76\n",
            "opencv-python                    4.8.0.76\n",
            "opencv-python-headless           4.9.0.80\n",
            "openpyxl                         3.1.2\n",
            "opt-einsum                       3.3.0\n",
            "optax                            0.1.7\n",
            "orbax-checkpoint                 0.4.4\n",
            "osqp                             0.6.2.post8\n",
            "packaging                        23.2\n",
            "pandas                           1.5.3\n",
            "pandas-datareader                0.10.0\n",
            "pandas-gbq                       0.19.2\n",
            "pandas-stubs                     1.5.3.230304\n",
            "pandocfilters                    1.5.0\n",
            "panel                            1.3.6\n",
            "param                            2.0.1\n",
            "parso                            0.8.3\n",
            "parsy                            2.1\n",
            "partd                            1.4.1\n",
            "pathlib                          1.0.1\n",
            "pathy                            0.10.3\n",
            "patsy                            0.5.6\n",
            "peewee                           3.17.0\n",
            "pexpect                          4.9.0\n",
            "pickleshare                      0.7.5\n",
            "Pillow                           9.4.0\n",
            "pins                             0.8.4\n",
            "pip                              23.1.2\n",
            "pip-tools                        6.13.0\n",
            "platformdirs                     4.1.0\n",
            "plotly                           5.15.0\n",
            "plotnine                         0.12.4\n",
            "pluggy                           1.3.0\n",
            "polars                           0.17.3\n",
            "pooch                            1.8.0\n",
            "portpicker                       1.5.2\n",
            "prefetch-generator               1.0.3\n",
            "preshed                          3.0.9\n",
            "prettytable                      3.9.0\n",
            "proglog                          0.1.10\n",
            "progressbar2                     4.2.0\n",
            "prometheus-client                0.19.0\n",
            "promise                          2.3\n",
            "prompt-toolkit                   3.0.43\n",
            "prophet                          1.1.5\n",
            "proto-plus                       1.23.0\n",
            "protobuf                         3.20.3\n",
            "psutil                           5.9.5\n",
            "psycopg2                         2.9.9\n",
            "ptyprocess                       0.7.0\n",
            "py-cpuinfo                       9.0.0\n",
            "py4j                             0.10.9.7\n",
            "pyarrow                          10.0.1\n",
            "pyarrow-hotfix                   0.6\n",
            "pyasn1                           0.5.1\n",
            "pyasn1-modules                   0.3.0\n",
            "pycocotools                      2.0.7\n",
            "pycparser                        2.21\n",
            "pyct                             0.5.0\n",
            "pydantic                         1.10.13\n",
            "pydata-google-auth               1.8.2\n",
            "pydot                            1.4.2\n",
            "pydot-ng                         2.0.0\n",
            "pydotplus                        2.0.2\n",
            "PyDrive                          1.3.1\n",
            "PyDrive2                         1.6.3\n",
            "pyerfa                           2.0.1.1\n",
            "pygame                           2.5.2\n",
            "Pygments                         2.16.1\n",
            "PyGObject                        3.42.1\n",
            "PyJWT                            2.3.0\n",
            "pymc                             5.7.2\n",
            "pymystem3                        0.2.0\n",
            "PyOpenGL                         3.1.7\n",
            "pyOpenSSL                        23.3.0\n",
            "pyparsing                        3.1.1\n",
            "pyperclip                        1.8.2\n",
            "pyproj                           3.6.1\n",
            "pyproject_hooks                  1.0.0\n",
            "pyshp                            2.3.1\n",
            "PySocks                          1.7.1\n",
            "pytensor                         2.14.2\n",
            "pytest                           7.4.4\n",
            "python-apt                       0.0.0\n",
            "python-box                       7.1.1\n",
            "python-dateutil                  2.8.2\n",
            "python-louvain                   0.16\n",
            "python-slugify                   8.0.1\n",
            "python-utils                     3.8.1\n",
            "pytz                             2023.3.post1\n",
            "pyviz_comms                      3.0.0\n",
            "PyWavelets                       1.5.0\n",
            "PyYAML                           6.0.1\n",
            "pyzmq                            23.2.1\n",
            "qdldl                            0.1.7.post0\n",
            "qudida                           0.0.4\n",
            "ratelim                          0.1.6\n",
            "referencing                      0.32.1\n",
            "regex                            2023.6.3\n",
            "requests                         2.31.0\n",
            "requests-oauthlib                1.3.1\n",
            "requirements-parser              0.5.0\n",
            "rich                             13.7.0\n",
            "rpds-py                          0.16.2\n",
            "rpy2                             3.4.2\n",
            "rsa                              4.9\n",
            "safetensors                      0.4.1\n",
            "scikit-image                     0.19.3\n",
            "scikit-learn                     1.2.2\n",
            "scipy                            1.11.4\n",
            "scooby                           0.9.2\n",
            "scs                              3.2.4.post1\n",
            "seaborn                          0.13.1\n",
            "SecretStorage                    3.3.1\n",
            "Send2Trash                       1.8.2\n",
            "setuptools                       67.7.2\n",
            "shapely                          2.0.2\n",
            "six                              1.16.0\n",
            "sklearn-pandas                   2.2.0\n",
            "smart-open                       6.4.0\n",
            "sniffio                          1.3.0\n",
            "snowballstemmer                  2.2.0\n",
            "sortedcontainers                 2.4.0\n",
            "soundfile                        0.12.1\n",
            "soupsieve                        2.5\n",
            "soxr                             0.3.7\n",
            "spacy                            3.6.1\n",
            "spacy-legacy                     3.0.12\n",
            "spacy-loggers                    1.0.5\n",
            "Sphinx                           5.0.2\n",
            "sphinxcontrib-applehelp          1.0.7\n",
            "sphinxcontrib-devhelp            1.0.5\n",
            "sphinxcontrib-htmlhelp           2.0.4\n",
            "sphinxcontrib-jsmath             1.0.1\n",
            "sphinxcontrib-qthelp             1.0.6\n",
            "sphinxcontrib-serializinghtml    1.1.9\n",
            "SQLAlchemy                       2.0.24\n",
            "sqlglot                          19.9.0\n",
            "sqlparse                         0.4.4\n",
            "srsly                            2.4.8\n",
            "stanio                           0.3.0\n",
            "statsmodels                      0.14.1\n",
            "sympy                            1.12\n",
            "tables                           3.8.0\n",
            "tabulate                         0.9.0\n",
            "tbb                              2021.11.0\n",
            "tblib                            3.0.0\n",
            "tenacity                         8.2.3\n",
            "tensorboard                      2.15.1\n",
            "tensorboard-data-server          0.7.2\n",
            "tensorflow                       2.15.0\n",
            "tensorflow-datasets              4.9.4\n",
            "tensorflow-estimator             2.15.0\n",
            "tensorflow-gcs-config            2.15.0\n",
            "tensorflow-hub                   0.15.0\n",
            "tensorflow-io-gcs-filesystem     0.35.0\n",
            "tensorflow-metadata              1.14.0\n",
            "tensorflow-probability           0.22.0\n",
            "tensorstore                      0.1.45\n",
            "termcolor                        2.4.0\n",
            "terminado                        0.18.0\n",
            "text-unidecode                   1.3\n",
            "textblob                         0.17.1\n",
            "tf-slim                          1.1.0\n",
            "thinc                            8.1.12\n",
            "threadpoolctl                    3.2.0\n",
            "tifffile                         2023.12.9\n",
            "tinycss2                         1.2.1\n",
            "tokenizers                       0.15.0\n",
            "toml                             0.10.2\n",
            "tomli                            2.0.1\n",
            "toolz                            0.12.0\n",
            "torch                            2.1.0+cu121\n",
            "torchaudio                       2.1.0+cu121\n",
            "torchdata                        0.7.0\n",
            "torchsummary                     1.5.1\n",
            "torchtext                        0.16.0\n",
            "torchvision                      0.16.0+cu121\n",
            "tornado                          6.3.2\n",
            "tqdm                             4.66.1\n",
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            "traittypes                       0.2.1\n",
            "transformers                     4.35.2\n",
            "triton                           2.1.0\n",
            "tweepy                           4.14.0\n",
            "typer                            0.9.0\n",
            "types-pytz                       2023.3.1.1\n",
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            "typing_extensions                4.5.0\n",
            "tzlocal                          5.2\n",
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            "uritemplate                      4.1.1\n",
            "urllib3                          2.0.7\n",
            "vega-datasets                    0.9.0\n",
            "wadllib                          1.3.6\n",
            "wasabi                           1.1.2\n",
            "wcwidth                          0.2.13\n",
            "webcolors                        1.13\n",
            "webencodings                     0.5.1\n",
            "websocket-client                 1.7.0\n",
            "Werkzeug                         3.0.1\n",
            "wheel                            0.42.0\n",
            "widgetsnbextension               3.6.6\n",
            "wordcloud                        1.9.3\n",
            "wrapt                            1.14.1\n",
            "xarray                           2023.7.0\n",
            "xarray-einstats                  0.6.0\n",
            "xgboost                          2.0.3\n",
            "xlrd                             2.0.1\n",
            "xxhash                           3.4.1\n",
            "xyzservices                      2023.10.1\n",
            "yarl                             1.9.4\n",
            "yellowbrick                      1.5\n",
            "yfinance                         0.2.35\n",
            "zict                             3.0.0\n",
            "zipp                             3.17.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wdQ96m4Wp7PV"
      },
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from tensorflow.keras import Sequential\n",
        "import tensorflow as tf"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "T3alkNFYqz22",
        "outputId": "c5fa29e0-1374-4fa0-90c2-88c50ee3540c"
      },
      "source": [
        "tf.__version__"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'2.15.0'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tN5YJuyaqC89",
        "outputId": "f402f4e1-b403-428b-9310-c7873363e63f"
      },
      "source": [
        "arr = np.array([1,2,3,4])\n",
        "arr"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 3, 4])"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5qrM3wnhqE9m",
        "outputId": "4e38b307-a356-4dd7-bf80-609763579fa3"
      },
      "source": [
        "arr.mean()"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2.5"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4pthmuTUrIAD"
      },
      "source": [
        "## 데이터 불러오기"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6i17TO_5qGhx",
        "outputId": "6c71096a-3255-4c85-ccea-1014d2f45dbb"
      },
      "source": [
        "!ls"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "sample_data\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 443
        },
        "id": "RDcM7mTmqRqX",
        "outputId": "c7762024-8a28-4c58-81c1-5f63fb17e4c5"
      },
      "source": [
        "data = pd.read_csv(\"sample_data/california_housing_train.csv\")\n",
        "data"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       longitude  latitude  housing_median_age  total_rooms  total_bedrooms  \\\n",
              "0        -114.31     34.19                15.0       5612.0          1283.0   \n",
              "1        -114.47     34.40                19.0       7650.0          1901.0   \n",
              "2        -114.56     33.69                17.0        720.0           174.0   \n",
              "3        -114.57     33.64                14.0       1501.0           337.0   \n",
              "4        -114.57     33.57                20.0       1454.0           326.0   \n",
              "...          ...       ...                 ...          ...             ...   \n",
              "16995    -124.26     40.58                52.0       2217.0           394.0   \n",
              "16996    -124.27     40.69                36.0       2349.0           528.0   \n",
              "16997    -124.30     41.84                17.0       2677.0           531.0   \n",
              "16998    -124.30     41.80                19.0       2672.0           552.0   \n",
              "16999    -124.35     40.54                52.0       1820.0           300.0   \n",
              "\n",
              "       population  households  median_income  median_house_value  \n",
              "0          1015.0       472.0         1.4936             66900.0  \n",
              "1          1129.0       463.0         1.8200             80100.0  \n",
              "2           333.0       117.0         1.6509             85700.0  \n",
              "3           515.0       226.0         3.1917             73400.0  \n",
              "4           624.0       262.0         1.9250             65500.0  \n",
              "...           ...         ...            ...                 ...  \n",
              "16995       907.0       369.0         2.3571            111400.0  \n",
              "16996      1194.0       465.0         2.5179             79000.0  \n",
              "16997      1244.0       456.0         3.0313            103600.0  \n",
              "16998      1298.0       478.0         1.9797             85800.0  \n",
              "16999       806.0       270.0         3.0147             94600.0  \n",
              "\n",
              "[17000 rows x 9 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-21ada1b1-3091-4612-b540-df2823c5ad6e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-114.31</td>\n",
              "      <td>34.19</td>\n",
              "      <td>15.0</td>\n",
              "      <td>5612.0</td>\n",
              "      <td>1283.0</td>\n",
              "      <td>1015.0</td>\n",
              "      <td>472.0</td>\n",
              "      <td>1.4936</td>\n",
              "      <td>66900.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-114.47</td>\n",
              "      <td>34.40</td>\n",
              "      <td>19.0</td>\n",
              "      <td>7650.0</td>\n",
              "      <td>1901.0</td>\n",
              "      <td>1129.0</td>\n",
              "      <td>463.0</td>\n",
              "      <td>1.8200</td>\n",
              "      <td>80100.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-114.56</td>\n",
              "      <td>33.69</td>\n",
              "      <td>17.0</td>\n",
              "      <td>720.0</td>\n",
              "      <td>174.0</td>\n",
              "      <td>333.0</td>\n",
              "      <td>117.0</td>\n",
              "      <td>1.6509</td>\n",
              "      <td>85700.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-114.57</td>\n",
              "      <td>33.64</td>\n",
              "      <td>14.0</td>\n",
              "      <td>1501.0</td>\n",
              "      <td>337.0</td>\n",
              "      <td>515.0</td>\n",
              "      <td>226.0</td>\n",
              "      <td>3.1917</td>\n",
              "      <td>73400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>-114.57</td>\n",
              "      <td>33.57</td>\n",
              "      <td>20.0</td>\n",
              "      <td>1454.0</td>\n",
              "      <td>326.0</td>\n",
              "      <td>624.0</td>\n",
              "      <td>262.0</td>\n",
              "      <td>1.9250</td>\n",
              "      <td>65500.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    </tr>\n",
              "    <tr>\n",
              "      <th>16995</th>\n",
              "      <td>-124.26</td>\n",
              "      <td>40.58</td>\n",
              "      <td>52.0</td>\n",
              "      <td>2217.0</td>\n",
              "      <td>394.0</td>\n",
              "      <td>907.0</td>\n",
              "      <td>369.0</td>\n",
              "      <td>2.3571</td>\n",
              "      <td>111400.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16996</th>\n",
              "      <td>-124.27</td>\n",
              "      <td>40.69</td>\n",
              "      <td>36.0</td>\n",
              "      <td>2349.0</td>\n",
              "      <td>528.0</td>\n",
              "      <td>1194.0</td>\n",
              "      <td>465.0</td>\n",
              "      <td>2.5179</td>\n",
              "      <td>79000.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16997</th>\n",
              "      <td>-124.30</td>\n",
              "      <td>41.84</td>\n",
              "      <td>17.0</td>\n",
              "      <td>2677.0</td>\n",
              "      <td>531.0</td>\n",
              "      <td>1244.0</td>\n",
              "      <td>456.0</td>\n",
              "      <td>3.0313</td>\n",
              "      <td>103600.0</td>\n",
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              "    <tr>\n",
              "      <th>16998</th>\n",
              "      <td>-124.30</td>\n",
              "      <td>41.80</td>\n",
              "      <td>19.0</td>\n",
              "      <td>2672.0</td>\n",
              "      <td>552.0</td>\n",
              "      <td>1298.0</td>\n",
              "      <td>478.0</td>\n",
              "      <td>1.9797</td>\n",
              "      <td>85800.0</td>\n",
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              "    <tr>\n",
              "      <th>16999</th>\n",
              "      <td>-124.35</td>\n",
              "      <td>40.54</td>\n",
              "      <td>52.0</td>\n",
              "      <td>1820.0</td>\n",
              "      <td>300.0</td>\n",
              "      <td>806.0</td>\n",
              "      <td>270.0</td>\n",
              "      <td>3.0147</td>\n",
              "      <td>94600.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>17000 rows × 9 columns</p>\n",
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              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-fb35a667-e026-4aae-aa16-4ce478d1efcb button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_3407dca4-5bf4-4fc8-a62e-f5b987881073\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('data')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_3407dca4-5bf4-4fc8-a62e-f5b987881073 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('data');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "TaEw2_jPqZUe",
        "outputId": "c5a413c8-89d9-4578-ab4d-8bf378876225"
      },
      "source": [
        "data.describe()"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          longitude      latitude  housing_median_age   total_rooms  \\\n",
              "count  17000.000000  17000.000000        17000.000000  17000.000000   \n",
              "mean    -119.562108     35.625225           28.589353   2643.664412   \n",
              "std        2.005166      2.137340           12.586937   2179.947071   \n",
              "min     -124.350000     32.540000            1.000000      2.000000   \n",
              "25%     -121.790000     33.930000           18.000000   1462.000000   \n",
              "50%     -118.490000     34.250000           29.000000   2127.000000   \n",
              "75%     -118.000000     37.720000           37.000000   3151.250000   \n",
              "max     -114.310000     41.950000           52.000000  37937.000000   \n",
              "\n",
              "       total_bedrooms    population    households  median_income  \\\n",
              "count    17000.000000  17000.000000  17000.000000   17000.000000   \n",
              "mean       539.410824   1429.573941    501.221941       3.883578   \n",
              "std        421.499452   1147.852959    384.520841       1.908157   \n",
              "min          1.000000      3.000000      1.000000       0.499900   \n",
              "25%        297.000000    790.000000    282.000000       2.566375   \n",
              "50%        434.000000   1167.000000    409.000000       3.544600   \n",
              "75%        648.250000   1721.000000    605.250000       4.767000   \n",
              "max       6445.000000  35682.000000   6082.000000      15.000100   \n",
              "\n",
              "       median_house_value  \n",
              "count        17000.000000  \n",
              "mean        207300.912353  \n",
              "std         115983.764387  \n",
              "min          14999.000000  \n",
              "25%         119400.000000  \n",
              "50%         180400.000000  \n",
              "75%         265000.000000  \n",
              "max         500001.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-20fe5467-c13d-4d41-8eae-5d8ed0c4f77d\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>longitude</th>\n",
              "      <th>latitude</th>\n",
              "      <th>housing_median_age</th>\n",
              "      <th>total_rooms</th>\n",
              "      <th>total_bedrooms</th>\n",
              "      <th>population</th>\n",
              "      <th>households</th>\n",
              "      <th>median_income</th>\n",
              "      <th>median_house_value</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "      <td>17000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>-119.562108</td>\n",
              "      <td>35.625225</td>\n",
              "      <td>28.589353</td>\n",
              "      <td>2643.664412</td>\n",
              "      <td>539.410824</td>\n",
              "      <td>1429.573941</td>\n",
              "      <td>501.221941</td>\n",
              "      <td>3.883578</td>\n",
              "      <td>207300.912353</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>2.005166</td>\n",
              "      <td>2.137340</td>\n",
              "      <td>12.586937</td>\n",
              "      <td>2179.947071</td>\n",
              "      <td>421.499452</td>\n",
              "      <td>1147.852959</td>\n",
              "      <td>384.520841</td>\n",
              "      <td>1.908157</td>\n",
              "      <td>115983.764387</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-124.350000</td>\n",
              "      <td>32.540000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>3.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.499900</td>\n",
              "      <td>14999.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-121.790000</td>\n",
              "      <td>33.930000</td>\n",
              "      <td>18.000000</td>\n",
              "      <td>1462.000000</td>\n",
              "      <td>297.000000</td>\n",
              "      <td>790.000000</td>\n",
              "      <td>282.000000</td>\n",
              "      <td>2.566375</td>\n",
              "      <td>119400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>-118.490000</td>\n",
              "      <td>34.250000</td>\n",
              "      <td>29.000000</td>\n",
              "      <td>2127.000000</td>\n",
              "      <td>434.000000</td>\n",
              "      <td>1167.000000</td>\n",
              "      <td>409.000000</td>\n",
              "      <td>3.544600</td>\n",
              "      <td>180400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>-118.000000</td>\n",
              "      <td>37.720000</td>\n",
              "      <td>37.000000</td>\n",
              "      <td>3151.250000</td>\n",
              "      <td>648.250000</td>\n",
              "      <td>1721.000000</td>\n",
              "      <td>605.250000</td>\n",
              "      <td>4.767000</td>\n",
              "      <td>265000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>-114.310000</td>\n",
              "      <td>41.950000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>37937.000000</td>\n",
              "      <td>6445.000000</td>\n",
              "      <td>35682.000000</td>\n",
              "      <td>6082.000000</td>\n",
              "      <td>15.000100</td>\n",
              "      <td>500001.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-20fe5467-c13d-4d41-8eae-5d8ed0c4f77d')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-20fe5467-c13d-4d41-8eae-5d8ed0c4f77d button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-20fe5467-c13d-4d41-8eae-5d8ed0c4f77d');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-39b93290-dd09-41a2-a552-765fb742e97d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-39b93290-dd09-41a2-a552-765fb742e97d')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-39b93290-dd09-41a2-a552-765fb742e97d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g5SNGZLgrcM6"
      },
      "source": [
        "## data 는 pandas 객체\n",
        "## 데이터 다룰때 많이 사용함"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3H814-41rTj2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "56bb347e-6f73-4799-e873-740c3efdad5b"
      },
      "source": [
        "data.info()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 17000 entries, 0 to 16999\n",
            "Data columns (total 9 columns):\n",
            " #   Column              Non-Null Count  Dtype  \n",
            "---  ------              --------------  -----  \n",
            " 0   longitude           17000 non-null  float64\n",
            " 1   latitude            17000 non-null  float64\n",
            " 2   housing_median_age  17000 non-null  float64\n",
            " 3   total_rooms         17000 non-null  float64\n",
            " 4   total_bedrooms      17000 non-null  float64\n",
            " 5   population          17000 non-null  float64\n",
            " 6   households          17000 non-null  float64\n",
            " 7   median_income       17000 non-null  float64\n",
            " 8   median_house_value  17000 non-null  float64\n",
            "dtypes: float64(9)\n",
            "memory usage: 1.2 MB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RlfRE81Hrk7Y"
      },
      "source": [
        "## 잊어버린 파이썬 문법...."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ej75qsflrkZ8",
        "outputId": "64a37713-cd03-4a87-a018-18a661238d64"
      },
      "source": [
        "for i in range(5):\n",
        "  print(\"hello!\",i)"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "hello! 0\n",
            "hello! 1\n",
            "hello! 2\n",
            "hello! 3\n",
            "hello! 4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vV53OjsrrtPf",
        "outputId": "a8f03ab8-9e6f-476d-d407-e91665720cf5"
      },
      "source": [
        "arr = [1,2,3,4]\n",
        "for data in arr:\n",
        "  print(data)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n",
            "2\n",
            "3\n",
            "4\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A0W4cBRQrxdx",
        "outputId": "0574fef7-fbbc-40f6-866f-872c4c226c7b"
      },
      "source": [
        "arr = [i**2 for i in range(1,10)] # 리스트 컴프리헨션\n",
        "arr"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[1, 4, 9, 16, 25, 36, 49, 64, 81]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "b9UmRH5Mr1ZO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3d020619-e166-4da5-8448-9a9f1608346d"
      },
      "source": [
        "for data in arr:\n",
        "  print(data)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1\n",
            "4\n",
            "9\n",
            "16\n",
            "25\n",
            "36\n",
            "49\n",
            "64\n",
            "81\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "l0RWqS-DsJVU"
      },
      "source": [
        "## 정리\n",
        "\n",
        "간단한 조건 반복 자료형 등을 알면\n",
        "\n",
        "- 점프 투 파이썬\n",
        "- 파이썬 코딩 도장\n",
        "\n",
        "으로 모르는 것이 나왔을때 마다 그때 찾아보기\n",
        "\n",
        "알아둬야 할 것\n",
        "\n",
        "1. 조건,반복문\n",
        "\n",
        "2. 파이썬 리스트 자료형의 이해\n",
        "> 리스트 메소드,arr.sort() 등, 리스트 인덱싱,슬라이싱 등등\n",
        "\n",
        "3. 클래스... <br>( pandas.함수() numpy.값  이런게 왜 이렇게 쓰이나 알아보고 싶을때)\n",
        "\n",
        "4. import.. as xxx ,from ~ import ~ 의 관계?\n",
        "\n",
        "5. 파일 입출력 ( numpy 혹은 pandas 로 파일 불러오기)"
      ]
    }
  ]
}