atualiza 2020 10 28 - regressão linear

Notebooks/NB10_01__Pandas.ipynb

@@ -21,7 +21,7 @@
         "colab_type": "text"
       },
       "source": [
-        "<a href=\"https://colab.research.google.com/github/MathMachado/DSWP/blob/master/Notebooks/NB10_01__Pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+        "<a href=\"https://colab.research.google.com/github/Celso-Omoto/DSWP/blob/master/Notebooks/NB10_01__Pandas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
@@ -5295,7 +5295,238 @@
         "id": "ldWQd9j4NhPS"
       },
       "source": [
-        ""
+        "# Carrega a library Pandas\n",
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt\n",
+        "%matplotlib inline\n"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "pynSV0viI8CA"
+      },
+      "source": [
+        "#configuração\n",
+        "d_configuracao = {\n",
+        "    'display.max_columns': 1000,\n",
+        "    'display.expand_frame_repr': True,\n",
+        "    'display.max_rows': 10,\n",
+        "    'display.precision': 2,\n",
+        "    'display.show_dimensions': True\n",
+        "                  }\n",
+        "\n",
+        "for op, value in d_configuracao.items():\n",
+        "    pd.set_option(op, value)\n",
+        "    print(op, value)\n"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "AswYS-ILI-qW"
+      },
+      "source": [
+        "url = 'https://raw.githubusercontent.com/Celso-Omoto/DSWP/master/Dataframes/FIFA.csv'\n",
+        "#df_Fifa2018 = pd.read_csv(url, index_col = 'PassengerId')\n",
+        "df_Fifa2018 = pd.read_csv(url)\n"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "K7xLrlPuKsAW"
+      },
+      "source": [
+        "df_Fifa2018.head()\n",
+        "\n"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "LTZGbOHiKxsW"
+      },
+      "source": [
+        "df_Fifa2018.set_index('ID', inplace = True)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "1y9oN-IeU7Sb"
+      },
+      "source": [
+        "def transformacao_lower(df):\n",
+        "    # Primeira transformação: Aplicar lower() nos nomes das COLUNAS:\n",
+        "    df_Fifa2018.columns = [col.lower() for col in df.columns]\n"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "uRS02MeCVVID"
+      },
+      "source": [
+        "transformacao_lower(df_Fifa2018)\n",
+        "df_Fifa2018.head()"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "sI_2oz3uMQFF"
+      },
+      "source": [
+        "#17 - Quais os insights em relação à variável overall (nota média do atleta) por idade, clube e país?\n",
+        "df_Fifa2018.sort_values('ShotPower', ascending=False).head(5)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "-9jCfEaSNJS1"
+      },
+      "source": [
+        "df_Fifa2018.groupby('Overall').agg({'Age':'mean', 'Nationality': 'count'}).sort_values('Overall').head(10)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "PMrTNLV1Oe5P"
+      },
+      "source": [
+        "df_Fifa2018.groupby('Club').agg({'Overall':'mean'}).sort_values('Overall').head(10)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "dckaTDS9NaqG"
+      },
+      "source": [
+        "df_Fifa2018.groupby('Club').agg({'Potential':'mean', 'Overall':'mean'}).bhead(10)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "OBuycRCzRbyG"
+      },
+      "source": [
+        "del df_Fifa2018['Photo']"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "1crol52URcmt"
+      },
+      "source": [
+        "del df_Fifa2018['Club Logo']"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "W0X7-q1CSNfM"
+      },
+      "source": [
+        "del df_Fifa2018['Flag']"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "LMtzccaxSK29"
+      },
+      "source": [
+        "df_Fifa2018.head()"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "ZPwu5sLnSyAc"
+      },
+      "source": [
+        "df_Fifa2018.dtypes"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "PBq3jr8nTUS0"
+      },
+      "source": [
+        "df_Fifa2018.select_dtypes(include=['object', 'string']).columns "
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "82JaHKYATgdD"
+      },
+      "source": [
+        "df_Fifa2018[df_Fifa2018.select_dtypes(include=['object', 'string']).columns ]"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "NAyzCiTMW7YT"
+      },
+      "source": [
+        "df_Fifa2018.groupby('nationality').agg({'age':['count','mean']}).head(5)"
+      ],
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "eivUHr17ZiHs"
+      },
+      "source": [
+        "df_Fifa2018.sort_values('age', ascending=False).groupby('nationality').agg({'age':['count','mean']})"
       ],
       "execution_count": null,
       "outputs": []