analysis-on-titanicdata.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-08-03T11:10:05.522803Z","iopub.execute_input":"2023-08-03T11:10:05.523248Z","iopub.status.idle":"2023-08-03T11:10:05.532866Z","shell.execute_reply.started":"2023-08-03T11:10:05.523211Z","shell.execute_reply":"2023-08-03T11:10:05.532025Z"},"trusted":true},"execution_count":62,"outputs":[{"name":"stdout","text":"/kaggle/input/titanic/train.csv\n/kaggle/input/titanic/test.csv\n/kaggle/input/titanic/gender_submission.csv\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### <div style=\"padding: 35px;color:Black;margin:10;font-size:200%;text-align:center;display:fill;border-radius:10px;overflow:hidden;background-image: url(https://images.definition.org/wp-content/uploads/2018/04/Titanic_11.jpg)\"><b><span style='color:#404040'>Titanic data 🚢🌊 Getting Started.. </span></b> </div>\n\n<br>\n\n<p style=\"text-align:center; \">\n<img src=\"https://cf.ltkcdn.net/kids/images/std/236793-1600x1200-titanic.jpg\" style='width: 500px; height: 350px;'>\n</p>\n\n<br>\n\n### <b><span style='color:#0077b3'>|</span> Domain Knowledge</b>\n\n<br>\n\n* `survival`: Target column has two values (0 = No, 1 = Yes).\n* `pclass`:\tTicket class (1 = 1st, 2 = 2nd, 3 = 3rd).\n* `sex`: male or female.\n* `Age`: Age of passengers in years.\t\n* `sibsp`: number of siblings / spouses aboard the Titanic.\t\n* `parch`: number of parents / children aboard the Titanic.\n* `ticket`:\tTicket number.\n* `fare`: Passenger fare.\n* `cabin`: Cabin number.\t\n* `embarked`: Port of Embarkation has three values (C = Cherbourg, Q = Queenstown, S = Southampton)   \n\n         \n   ","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"1\"></a>\n<div style=\"padding: 30px;color:white;margin:10;font-size:170%;text-align:left;display:fill;border-radius:10px;background-color:#F1C40F;overflow:hidden;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"><b><span style='color:#404040'>0 | Introduction </span></b> </div>\n\n## <b>I <span style='color:#595959'>|</span> Import libraries and dataset</b> ","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.538203Z","iopub.execute_input":"2023-08-03T11:10:05.538829Z","iopub.status.idle":"2023-08-03T11:10:05.550100Z","shell.execute_reply.started":"2023-08-03T11:10:05.538795Z","shell.execute_reply":"2023-08-03T11:10:05.548990Z"},"trusted":true},"execution_count":63,"outputs":[]},{"cell_type":"code","source":"titanic_df = pd.read_csv('/kaggle/input/titanic/train.csv')","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.552705Z","iopub.execute_input":"2023-08-03T11:10:05.553742Z","iopub.status.idle":"2023-08-03T11:10:05.569891Z","shell.execute_reply.started":"2023-08-03T11:10:05.553699Z","shell.execute_reply":"2023-08-03T11:10:05.568384Z"},"trusted":true},"execution_count":64,"outputs":[]},{"cell_type":"code","source":"titanic_df.head(5)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.572020Z","iopub.execute_input":"2023-08-03T11:10:05.572439Z","iopub.status.idle":"2023-08-03T11:10:05.592847Z","shell.execute_reply.started":"2023-08-03T11:10:05.572405Z","shell.execute_reply":"2023-08-03T11:10:05.591365Z"},"trusted":true},"execution_count":65,"outputs":[{"execution_count":65,"output_type":"execute_result","data":{"text/plain":"   PassengerId  Survived  Pclass  \\\n0            1         0       3   \n1            2         1       1   \n2            3         1       3   \n3            4         1       1   \n4            5         0       3   \n\n                                                Name     Sex   Age  SibSp  \\\n0                            Braund, Mr. Owen Harris    male  22.0      1   \n1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n2                             Heikkinen, Miss. Laina  female  26.0      0   \n3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n4                           Allen, Mr. William Henry    male  35.0      0   \n\n   Parch            Ticket     Fare Cabin Embarked  \n0      0         A/5 21171   7.2500   NaN        S  \n1      0          PC 17599  71.2833   C85        C  \n2      0  STON/O2. 3101282   7.9250   NaN        S  \n3      0            113803  53.1000  C123        S  \n4      0            373450   8.0500   NaN        S  ","text/html":"<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>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>A/5 21171</td>\n      <td>7.2500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>PC 17599</td>\n      <td>71.2833</td>\n      <td>C85</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>STON/O2. 3101282</td>\n      <td>7.9250</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>1</td>\n      <td>0</td>\n      <td>113803</td>\n      <td>53.1000</td>\n      <td>C123</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>373450</td>\n      <td>8.0500</td>\n      <td>NaN</td>\n      <td>S</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"titanic_df.describe()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.594825Z","iopub.execute_input":"2023-08-03T11:10:05.595640Z","iopub.status.idle":"2023-08-03T11:10:05.636763Z","shell.execute_reply.started":"2023-08-03T11:10:05.595596Z","shell.execute_reply":"2023-08-03T11:10:05.635260Z"},"trusted":true},"execution_count":66,"outputs":[{"execution_count":66,"output_type":"execute_result","data":{"text/plain":"       PassengerId    Survived      Pclass         Age       SibSp  \\\ncount   891.000000  891.000000  891.000000  714.000000  891.000000   \nmean    446.000000    0.383838    2.308642   29.699118    0.523008   \nstd     257.353842    0.486592    0.836071   14.526497    1.102743   \nmin       1.000000    0.000000    1.000000    0.420000    0.000000   \n25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n75%     668.500000    1.000000    3.000000   38.000000    1.000000   \nmax     891.000000    1.000000    3.000000   80.000000    8.000000   \n\n            Parch        Fare  \ncount  891.000000  891.000000  \nmean     0.381594   32.204208  \nstd      0.806057   49.693429  \nmin      0.000000    0.000000  \n25%      0.000000    7.910400  \n50%      0.000000   14.454200  \n75%      0.000000   31.000000  \nmax      6.000000  512.329200  ","text/html":"<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>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Fare</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>891.000000</td>\n      <td>891.000000</td>\n      <td>891.000000</td>\n      <td>714.000000</td>\n      <td>891.000000</td>\n      <td>891.000000</td>\n      <td>891.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>446.000000</td>\n      <td>0.383838</td>\n      <td>2.308642</td>\n      <td>29.699118</td>\n      <td>0.523008</td>\n      <td>0.381594</td>\n      <td>32.204208</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>257.353842</td>\n      <td>0.486592</td>\n      <td>0.836071</td>\n      <td>14.526497</td>\n      <td>1.102743</td>\n      <td>0.806057</td>\n      <td>49.693429</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>1.000000</td>\n      <td>0.420000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>223.500000</td>\n      <td>0.000000</td>\n      <td>2.000000</td>\n      <td>20.125000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>7.910400</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>446.000000</td>\n      <td>0.000000</td>\n      <td>3.000000</td>\n      <td>28.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>14.454200</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>668.500000</td>\n      <td>1.000000</td>\n      <td>3.000000</td>\n      <td>38.000000</td>\n      <td>1.000000</td>\n      <td>0.000000</td>\n      <td>31.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>891.000000</td>\n      <td>1.000000</td>\n      <td>3.000000</td>\n      <td>80.000000</td>\n      <td>8.000000</td>\n      <td>6.000000</td>\n      <td>512.329200</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"titanic_df.info()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.639901Z","iopub.execute_input":"2023-08-03T11:10:05.640330Z","iopub.status.idle":"2023-08-03T11:10:05.659248Z","shell.execute_reply.started":"2023-08-03T11:10:05.640298Z","shell.execute_reply":"2023-08-03T11:10:05.657638Z"},"trusted":true},"execution_count":67,"outputs":[{"name":"stdout","text":"<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 891 entries, 0 to 890\nData columns (total 12 columns):\n #   Column       Non-Null Count  Dtype  \n---  ------       --------------  -----  \n 0   PassengerId  891 non-null    int64  \n 1   Survived     891 non-null    int64  \n 2   Pclass       891 non-null    int64  \n 3   Name         891 non-null    object \n 4   Sex          891 non-null    object \n 5   Age          714 non-null    float64\n 6   SibSp        891 non-null    int64  \n 7   Parch        891 non-null    int64  \n 8   Ticket       891 non-null    object \n 9   Fare         891 non-null    float64\n 10  Cabin        204 non-null    object \n 11  Embarked     889 non-null    object \ndtypes: float64(2), int64(5), object(5)\nmemory usage: 83.7+ KB\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## <b><span style='color:#595959'>|</span> Observations </b> \n\n* The training-set has 891 rows and 11 features + `survived` column (target feature).\n<br>\n\n* `Categorical` columns: Survived, Sex, and Embarked. `Ordinal` columns: Pclass.\n\n* `Continous` columns: Age, Fare. `Discrete` columns: SibSp, Parch.\n\n* `alphanumeric` columns: Ticket and Cabin.\n\n* The passenger ages range from 0.4 to 80.\n\n* There are three columns in our data have missing values: \n    * `Cabin` column have almost `77%` null values of its data. we might want to drop it.\n    * 177 value in `Age` column are missed, Around `19%` of its data.\n    * Just two values in `Embarked` are missing, which can easily be filled.\n<br>\n\n\n* `SibSp` and `Parch` These features have zero correlation for certain values. We might derive a feature or a set of features from these individual features. \n","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"3\"></a>\n<div style=\"padding: 30px;color:white;margin:10;font-size:170%;text-align:left;display:fill;border-radius:10px;background-color:#F1C40F;overflow:hidden;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"><b><span style='color:#404040'>2 | Explore data analysis </span></b> </div>\n\n<br>\n\n## **<mark style=\"color:#404040;border-radius:5px;opacity:1.0;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"> 1-  Univariative Analysis </mark>**\n\n<br>\n\n### Analysis on categorical column\n","metadata":{}},{"cell_type":"code","source":"def add_bar_labels(ax, spacing=5):\n     for p in ax.patches:\n        ax.annotate(format(p.get_height(), '.0f'),\n                    (p.get_x() + p.get_width() / 2., p.get_height()),\n                    ha='center', va='bottom', fontsize=10, xytext=(0, spacing),\n                    textcoords='offset points')","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.660779Z","iopub.execute_input":"2023-08-03T11:10:05.661701Z","iopub.status.idle":"2023-08-03T11:10:05.673973Z","shell.execute_reply.started":"2023-08-03T11:10:05.661658Z","shell.execute_reply":"2023-08-03T11:10:05.672675Z"},"trusted":true},"execution_count":68,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize = (11,9))\nplt.subplot(2,3,1)\nplt.title('Survived countplot')\nax = sns.countplot(data = titanic_df,x='Survived')\nadd_bar_labels(ax) \n\nplt.subplot(2,3,2)\nplt.title('Sex countplot')\nax = sns.countplot(data = titanic_df,x='Sex')\nadd_bar_labels(ax)\n\nplt.subplot(2,3,3)\nplt.title('Pclass countplot')\nax = sns.countplot(data = titanic_df,x='Pclass')\nadd_bar_labels(ax)\n\nplt.subplot(2,3,4)\nplt.title('Embarked countplot')\nax = sns.countplot(data = titanic_df,x='Embarked')\nadd_bar_labels(ax)\n\nplt.subplot(2,3,5)\nplt.title('sibsp countplot')\nax = sns.countplot(data = titanic_df,x='SibSp')\nadd_bar_labels(ax)\n\nplt.subplot(2,3,6)\nplt.title('Parch countplot')\nax = sns.countplot(data = titanic_df,x='Parch')\nadd_bar_labels(ax)\n\nplt.tight_layout()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:05.675627Z","iopub.execute_input":"2023-08-03T11:10:05.676816Z","iopub.status.idle":"2023-08-03T11:10:07.351245Z","shell.execute_reply.started":"2023-08-03T11:10:05.676776Z","shell.execute_reply":"2023-08-03T11:10:07.349954Z"},"trusted":true},"execution_count":69,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1100x900 with 6 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### Analysis on numerical column","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(10,10))\nplt.subplot(2,2,1)\nsns.kdeplot(data=titanic_df, x='Age')\nplt.subplot(2,2,2)\nsns.boxplot(data=titanic_df, y='Age')\nplt.subplot(2,2,3)\nsns.kdeplot(data=titanic_df, x='Fare')\nplt.subplot(2,2,4)\nsns.boxplot(data=titanic_df, y='Fare')","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:07.354804Z","iopub.execute_input":"2023-08-03T11:10:07.355256Z","iopub.status.idle":"2023-08-03T11:10:08.185841Z","shell.execute_reply.started":"2023-08-03T11:10:07.355222Z","shell.execute_reply":"2023-08-03T11:10:08.184740Z"},"trusted":true},"execution_count":70,"outputs":[{"execution_count":70,"output_type":"execute_result","data":{"text/plain":"<Axes: ylabel='Fare'>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1000x1000 with 4 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"titanic_df[titanic_df['Fare'] > 250]","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:08.187478Z","iopub.execute_input":"2023-08-03T11:10:08.188194Z","iopub.status.idle":"2023-08-03T11:10:08.209842Z","shell.execute_reply.started":"2023-08-03T11:10:08.188140Z","shell.execute_reply":"2023-08-03T11:10:08.208675Z"},"trusted":true},"execution_count":71,"outputs":[{"execution_count":71,"output_type":"execute_result","data":{"text/plain":"     PassengerId  Survived  Pclass                                   Name  \\\n27            28         0       1         Fortune, Mr. Charles Alexander   \n88            89         1       1             Fortune, Miss. Mabel Helen   \n258          259         1       1                       Ward, Miss. Anna   \n311          312         1       1             Ryerson, Miss. Emily Borie   \n341          342         1       1         Fortune, Miss. Alice Elizabeth   \n438          439         0       1                      Fortune, Mr. Mark   \n679          680         1       1     Cardeza, Mr. Thomas Drake Martinez   \n737          738         1       1                 Lesurer, Mr. Gustave J   \n742          743         1       1  Ryerson, Miss. Susan Parker \"Suzette\"   \n\n        Sex   Age  SibSp  Parch    Ticket      Fare            Cabin Embarked  \n27     male  19.0      3      2     19950  263.0000      C23 C25 C27        S  \n88   female  23.0      3      2     19950  263.0000      C23 C25 C27        S  \n258  female  35.0      0      0  PC 17755  512.3292              NaN        C  \n311  female  18.0      2      2  PC 17608  262.3750  B57 B59 B63 B66        C  \n341  female  24.0      3      2     19950  263.0000      C23 C25 C27        S  \n438    male  64.0      1      4     19950  263.0000      C23 C25 C27        S  \n679    male  36.0      0      1  PC 17755  512.3292      B51 B53 B55        C  \n737    male  35.0      0      0  PC 17755  512.3292             B101        C  \n742  female  21.0      2      2  PC 17608  262.3750  B57 B59 B63 B66        C  ","text/html":"<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>PassengerId</th>\n      <th>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>SibSp</th>\n      <th>Parch</th>\n      <th>Ticket</th>\n      <th>Fare</th>\n      <th>Cabin</th>\n      <th>Embarked</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>27</th>\n      <td>28</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Fortune, Mr. Charles Alexander</td>\n      <td>male</td>\n      <td>19.0</td>\n      <td>3</td>\n      <td>2</td>\n      <td>19950</td>\n      <td>263.0000</td>\n      <td>C23 C25 C27</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>88</th>\n      <td>89</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Fortune, Miss. Mabel Helen</td>\n      <td>female</td>\n      <td>23.0</td>\n      <td>3</td>\n      <td>2</td>\n      <td>19950</td>\n      <td>263.0000</td>\n      <td>C23 C25 C27</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>258</th>\n      <td>259</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Ward, Miss. Anna</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>PC 17755</td>\n      <td>512.3292</td>\n      <td>NaN</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>311</th>\n      <td>312</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Ryerson, Miss. Emily Borie</td>\n      <td>female</td>\n      <td>18.0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>PC 17608</td>\n      <td>262.3750</td>\n      <td>B57 B59 B63 B66</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>341</th>\n      <td>342</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Fortune, Miss. Alice Elizabeth</td>\n      <td>female</td>\n      <td>24.0</td>\n      <td>3</td>\n      <td>2</td>\n      <td>19950</td>\n      <td>263.0000</td>\n      <td>C23 C25 C27</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>438</th>\n      <td>439</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Fortune, Mr. Mark</td>\n      <td>male</td>\n      <td>64.0</td>\n      <td>1</td>\n      <td>4</td>\n      <td>19950</td>\n      <td>263.0000</td>\n      <td>C23 C25 C27</td>\n      <td>S</td>\n    </tr>\n    <tr>\n      <th>679</th>\n      <td>680</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Cardeza, Mr. Thomas Drake Martinez</td>\n      <td>male</td>\n      <td>36.0</td>\n      <td>0</td>\n      <td>1</td>\n      <td>PC 17755</td>\n      <td>512.3292</td>\n      <td>B51 B53 B55</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>737</th>\n      <td>738</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Lesurer, Mr. Gustave J</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>PC 17755</td>\n      <td>512.3292</td>\n      <td>B101</td>\n      <td>C</td>\n    </tr>\n    <tr>\n      <th>742</th>\n      <td>743</td>\n      <td>1</td>\n      <td>1</td>\n      <td>Ryerson, Miss. Susan Parker \"Suzette\"</td>\n      <td>female</td>\n      <td>21.0</td>\n      <td>2</td>\n      <td>2</td>\n      <td>PC 17608</td>\n      <td>262.3750</td>\n      <td>B57 B59 B63 B66</td>\n      <td>C</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"## <b><span style='color:#595959'>|</span> Observations </b> \n* Age is normally distributed.\n* Fare is highly skewed and it actully contains group fare not individual fare and also it has outliers.\n<br>\n* There are total 891 passenger most of them didn't survived(549 passenger died).\n* Number of males is greater than female (577 male 314 female)\n* Most of the passengers are travelling in pclass 3 (1-216,2-184,3-491)\n* Most of the passenger are from Southampton (Southampton-644,Chebourg-168,Queenstoun-77)\n* Most of the passengers are travelling alone.\n","metadata":{}},{"cell_type":"markdown","source":"## **<mark style=\"color:#404040;border-radius:5px;opacity:1.0;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"> 2-  Bivariative Analysis</mark>**","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(13,5))\n\nplt.subplot(1,3,1)\nplt.title('Pclass-Survived plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Pclass',hue='Survived' ,palette=\"Blues\")\nadd_bar_labels(plot)\n\nplt.subplot(1,3,2)\nplt.title('Sex-Survived plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Sex', hue='Survived' ,palette=\"Greens\")\nadd_bar_labels(plot)\n\nplt.subplot(1,3,3)\nplt.title('Embarked-Survived plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Embarked',hue='Survived' ,palette=\"Reds\")\nadd_bar_labels(plot)\n","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:08.211754Z","iopub.execute_input":"2023-08-03T11:10:08.212202Z","iopub.status.idle":"2023-08-03T11:10:09.112279Z","shell.execute_reply.started":"2023-08-03T11:10:08.212094Z","shell.execute_reply":"2023-08-03T11:10:09.110945Z"},"trusted":true},"execution_count":72,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1300x500 with 3 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### feature engineering on sibsp and parch column","metadata":{}},{"cell_type":"code","source":"def transform_family_size(num):\n\n  if num == 1:\n    return 'alone'\n  elif num>1 and num <5:\n    return \"small\"\n  else:\n    return \"large\"\n\ntitanic_df['family_size'] = titanic_df['SibSp'] + titanic_df['Parch'] + 1","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:09.114038Z","iopub.execute_input":"2023-08-03T11:10:09.114631Z","iopub.status.idle":"2023-08-03T11:10:09.124025Z","shell.execute_reply.started":"2023-08-03T11:10:09.114572Z","shell.execute_reply":"2023-08-03T11:10:09.122476Z"},"trusted":true},"execution_count":73,"outputs":[]},{"cell_type":"code","source":"titanic_df['family_type'] = titanic_df['family_size'].apply(transform_family_size)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:09.125776Z","iopub.execute_input":"2023-08-03T11:10:09.126292Z","iopub.status.idle":"2023-08-03T11:10:09.142401Z","shell.execute_reply.started":"2023-08-03T11:10:09.126247Z","shell.execute_reply":"2023-08-03T11:10:09.141213Z"},"trusted":true},"execution_count":74,"outputs":[]},{"cell_type":"code","source":"titanic_df.drop(['SibSp','Parch'], axis=1,inplace=True)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:09.144108Z","iopub.execute_input":"2023-08-03T11:10:09.144575Z","iopub.status.idle":"2023-08-03T11:10:09.157350Z","shell.execute_reply.started":"2023-08-03T11:10:09.144533Z","shell.execute_reply":"2023-08-03T11:10:09.155981Z"},"trusted":true},"execution_count":75,"outputs":[]},{"cell_type":"code","source":"plt.figure(figsize=(13,5))\nplt.subplot(1,2,1)\nplt.title('survived vs ages')\nsns.histplot(data=titanic_df, x='Age', hue='Survived', kde=True, bins=20,  alpha=0.3 );\nplt.subplot(1,2,2)\nplt.title('survived vs family type')\nplot=sns.countplot(data=titanic_df, x='family_type', hue='Survived', palette='Blues')\nadd_bar_labels(plot)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:09.161617Z","iopub.execute_input":"2023-08-03T11:10:09.161962Z","iopub.status.idle":"2023-08-03T11:10:10.054742Z","shell.execute_reply.started":"2023-08-03T11:10:09.161932Z","shell.execute_reply":"2023-08-03T11:10:10.052967Z"},"trusted":true},"execution_count":76,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1300x500 with 2 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"survived_df=titanic_df[titanic_df['Survived'] == 1]\nunsurvived_df=titanic_df[titanic_df['Survived'] == 0]\nprint('surviving male passengers \\n')\n\nprint(survived_df[survived_df['Sex']=='male'][['Age']].describe().T)\nprint('--------------------------------')\nprint('surviving female passengers \\n')\n\nprint(survived_df[survived_df['Sex']=='female'][['Age']].describe().T)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:10.056629Z","iopub.execute_input":"2023-08-03T11:10:10.057079Z","iopub.status.idle":"2023-08-03T11:10:10.097263Z","shell.execute_reply.started":"2023-08-03T11:10:10.057042Z","shell.execute_reply":"2023-08-03T11:10:10.095709Z"},"trusted":true},"execution_count":77,"outputs":[{"name":"stdout","text":"surviving male passengers \n\n     count       mean        std   min   25%   50%   75%   max\nAge   93.0  27.276022  16.504803  0.42  18.0  28.0  36.0  80.0\n--------------------------------\nsurviving female passengers \n\n     count       mean        std   min   25%   50%   75%   max\nAge  197.0  28.847716  14.175073  0.75  19.0  28.0  38.0  63.0\n","output_type":"stream"}]},{"cell_type":"code","source":"print('non-surviving male passengers \\n')\n\nprint(unsurvived_df[unsurvived_df['Sex']=='male'][['Age']].describe().T)\nprint('--------------------------------')\nprint('non-surviving female passengers \\n')\n\nprint(unsurvived_df[unsurvived_df['Sex']=='female'][['Age']].describe().T)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:10.100066Z","iopub.execute_input":"2023-08-03T11:10:10.100967Z","iopub.status.idle":"2023-08-03T11:10:10.134147Z","shell.execute_reply.started":"2023-08-03T11:10:10.100893Z","shell.execute_reply":"2023-08-03T11:10:10.132416Z"},"trusted":true},"execution_count":78,"outputs":[{"name":"stdout","text":"non-surviving male passengers \n\n     count       mean        std  min    25%   50%    75%   max\nAge  360.0  31.618056  14.056019  1.0  21.75  29.0  39.25  74.0\n--------------------------------\nnon-surviving female passengers \n\n     count       mean        std  min    25%   50%    75%   max\nAge   64.0  25.046875  13.618591  2.0  16.75  24.5  33.25  57.0\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Observation\n* Chanses of suvival in p-class 1 is more then p-class 2 and p-class 3\n* Female passengers had much better survival rate than males( 74.2% of female passengers survived but just 18.8% of males survived.)\n<br><br>\n* Port S had most passengers(630 passengers) but the most of them didn't survive (420 passengers not-survived about `67%`)\n* Infant passengers (Age <=10) had high survival rate, about 70.4% of infant passengers survive\n<br><br>\n* Alon passengers has less survival rate(there are total 538 alone passengers travelling but most of them(374) were died)\n* There is only one passengers with 80 years old and he is survived","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(13,5))\n\nplt.subplot(1,3,1)\nplt.title('Pclass-Sex plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Pclass',hue='Sex' ,palette=\"Blues\")\nadd_bar_labels(plot)\nplt.subplot(1,3,2)\nplt.title('Embarked-sex plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Embarked',hue='Sex' ,palette=\"Greens\")\nadd_bar_labels(plot)\nplt.subplot(1,3,3)\nplt.title('family type-sex plot', size=15)\nplot= sns.countplot(data=titanic_df, x='family_type',hue='Sex' ,palette=\"Greens\")\nadd_bar_labels(plot)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:10.137154Z","iopub.execute_input":"2023-08-03T11:10:10.138523Z","iopub.status.idle":"2023-08-03T11:10:11.166560Z","shell.execute_reply.started":"2023-08-03T11:10:10.138461Z","shell.execute_reply":"2023-08-03T11:10:11.165136Z"},"trusted":true},"execution_count":79,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1300x500 with 3 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"code","source":"plt.figure(figsize=(13,5))\nplt.title('Pclass-Embarked plot', size=15)\nplot= sns.countplot(data=titanic_df, x='Pclass',hue='Embarked' ,palette=\"Blues\")","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:11.168086Z","iopub.execute_input":"2023-08-03T11:10:11.168487Z","iopub.status.idle":"2023-08-03T11:10:11.604426Z","shell.execute_reply.started":"2023-08-03T11:10:11.168454Z","shell.execute_reply":"2023-08-03T11:10:11.601506Z"},"trusted":true},"execution_count":80,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1300x500 with 1 Axes>","image/png":"iVBORw0KGgoAAAANSUhEUgAABDsAAAHYCAYAAABDW+OpAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABKpklEQVR4nO3deVxVdf7H8fcF5QqyqSAXAhFzS1ErMcPMfS23dNTSKShrnFwa0yZTp6SapGVKK8sxp9RswcqwGldSQc0stZzcMi1MTQhTFkU28fz+6MH9dQUXEDl4fD0fj/MY7vd8z/d8zsW5dt9+z/fYDMMwBAAAAAAAYBFuZhcAAAAAAABQmQg7AAAAAACApRB2AAAAAAAASyHsAAAAAAAAlkLYAQAAAAAALIWwAwAAAAAAWAphBwAAAAAAsBTCDgAAAAAAYCmEHQAAAAAAwFIIOwAAuAg2m81lc3Nzk7+/v2699Vb95z//kWEYFR77wIEDstls6tKlS+UVXIWSk5NLvT9lbQsWLLisddhsNjVs2PCynuNiLFiwQDabTXFxcaacv2HDhrLZbJf1HCW/89jY2Mt6HgAAKqqG2QUAAHAliYmJkSQVFxfrxx9/1BdffKGNGzdqzZo1ev/9902uzlxBQUHq06fPOfc3bty4CqvBlaJLly5KSUlRampqtQirAADWQNgBAEA5nD07ISkpSbfddpsSEhI0cuRI9evXz5zCqoHmzZtf9tkbAAAAF4PbWAAAuAQ9e/bU3XffLUlaunSpucUAAABAEmEHAACX7IYbbpAkHTp0yKXdMAy9++676t69u+rVq6datWqpUaNGGjFihL744osLjpufn68333xTAwcOVKNGjeTp6Sl/f3916tRJCQkJZR5TVFSkuXPn6qabblJAQIC8vLzUsGFD9evXr9Qxubm5eu6553T99dfL399f3t7euvbaazV06FCtWrWqgu/Gxfnjmg8ZGRkaNWqUHA6HvL291bFjR23atMnZ99///rdat24tT09PhYWF6cknn9SZM2fOOXZhYaGmT5+ua6+91vmeP/HEE8rPzy/Vd//+/YqLi1N0dLQcDoc8PDwUGhqqe+65Rz/88EOZ45esDVJYWKinnnpKzZs3l91u16BBgy543S+++KLc3NzUokUL/fLLL872AwcOaPTo0WrYsKHsdrsCAwP1pz/9Sd99912Z45w+fVrx8fFq0qSJ8xoff/xxFRYWXrCGs8XGxspmsyk5OVkrVqxQx44d5e3trTp16mjw4MH6/vvvyzXe6dOn9eqrr6pt27by9vaWt7e3brrpJs2ZM0fFxcUu12yz2ZSSkiJJioiIcFnjBQCAS8FtLAAAXKITJ05Ikux2u7OtuLhYd955pz766CPZ7XZ17NhRAQEBOnjwoBITE+Xh4aFbbrnlvOMeOHBA999/v4KCgtS8eXPddNNNSk9P16ZNm7RhwwZ9//33pRbBvPvuu7V48WIFBASoQ4cO8vLy0i+//KINGzbo5MmTuvPOO5319erVS5s2bVJoaKi6dOkiDw8PHT58WP/9739Vu3Zt9e7du3LfqDJkZmYqOjpa+fn5io6OVlpamr744gv17NlTX3/9td544w298cYbat++vXr06KGUlBTFxcWpsLBQzzzzTKnxDMPQn/70J33++efq3r27rr/+eq1Zs0ZPP/20Nm3apFWrVsnd3d3Z/z//+Y+ee+45tWjRQlFRUapVq5Z2796tRYsW6ZNPPtGGDRvUunXrUuc5c+aMBg0apPXr16tz585q3bq16tWrd95rnTp1quLj49WuXTutWLHC2X/jxo26/fbblZOTo5YtW2rAgAH65Zdf9PHHH2v58uVatmyZunbt6jLWXXfdpY8++kje3t7q06ePDMPQSy+9pG+//bbCi+V++OGHmjNnjqKiotS/f3999913SkxM1Nq1a5WSkqI2bdpccIzi4mINHDhQy5cvl6+vr3r06CFJWrt2rcaMGaOkpCR99NFHcnNzk7e3t2JiYrRy5Ur9+uuvGjJkiLy9vStUOwAApRgAAOCCJBll/bV55swZIzo62pBkTJs2zdn+9NNPG5KMVq1aGQcOHHA55tixY8bGjRudr1NTUw1JRufOnV36/fbbb8aqVauM4uJil/affvrJaNiwoeHm5makpqaWGqddu3ZGXl6eyzGnTp0yNm3a5Hy9bt06Q5IxcODAUuNnZWUZW7duPf8b8gclY51d/8UcI8kYPny4S73Tp083JBktWrQwrrnmGmPnzp3Ofbt27TI8PDwMLy8v48SJEy5jlowXGhpq/Pjjj872jIwMIzIy0pBkvPzyyy7HfPnll8b+/ftL1ffWW28ZkoyuXbuW2ldynsaNGxuHDx8utX/+/PmGJGP69OmGYRhGcXGx8Ze//MWQZHTr1s2l7uzsbMPhcBg1a9Y0PvzwQ5dxkpKSDA8PD+Oaa64xCgoKnO3vvfeeIclo1KiRy/l/+uknIzQ09Jx/Vs8lJibGecwbb7zhbD9z5owxefJkQ5Jx4403uhxT8vuLiYlxaf/Xv/7l/HP/66+/OtuPHDliNGvWzJBkvPbaay7HdO7c2ZDk8mcZAIBLRdgBAMBFOPsL5OnTp40ffvjBiI2NNSQZdrvd+aW5oKDA8Pf3N2w2m7Fly5YLjn2usON85s2bZ0gyXnnlFWfbV199ZUgy/va3v13w+MWLFxuSjJkzZ170Oc/lj8HF+bbMzMxSx/j5+bm0G8bvAYDNZjMkGW+99Vap891xxx2GJGPdunUu7WV9YS+xYsUKQ5LRtGnTi76uW265xbDZbEZWVlaZ5zk7nCjxx7CjoKDAGDp0qCHJuOOOO4z8/HyXvjNnzjQkGVOmTClzrAkTJhiSjCVLljjbbr31VkOS8e6775bqP3fu3AqHHR06dCi1r7Cw0AgLCzMklRmWnR12NGjQwJBkrFmzptRYn376qSHJaNasmUs7YQcA4HLgNhYAAMqhrLUEfHx8tHDhQl177bWSpK1btyorK0tt27ZVVFTUJZ9z48aNSk5O1i+//KL8/HwZhqG0tDRJ0r59+5z9mjdvrtq1a2v+/Plq2bKlBg8efM5bK66//nq5ubnphRdekMPh0O233y4fH59LqvNCj5718PAo1RYVFSV/f3+XNl9fX9WrV0+//fabevbsWeqYkve55D04W8mtOn/Up08f1alTRz/88IOOHj2qwMBA576TJ0/qs88+0/bt23X8+HEVFRU5xzcMQz/++KNuvPFGl/FsNpv69+9/zmuVfl8TpV+/fkpKStK9996refPmudxCI/3+NB9J51zvo2PHjpo1a5a2bNmiwYMHq6ioSF999ZXc3Nz0pz/9qVT/u+66S6NHjz5vXedS1vtWs2ZNDRkyRLNmzdLGjRsVHR19zuMPHjyogwcPyuFwqFu3bqX29+vXT/7+/tq7d2+p3wEAAJWNsAMAgHKIiYmRJLm5ucnX11etWrXS4MGDVadOHWefkoVKS76UV1R2drYGDx6stWvXnrNPyXoh0u8hwbx58/SXv/xFf/nLXzR69Gg1a9ZMXbt21T333KObb77Z2bdp06Z64YUX9Nhjj+muu+6Su7u7IiMj1aNHD917771q2bKls++zzz5bapHK5s2b67HHHivVVt5Hz15zzTVltteuXVu//fZbmftr164tSSooKCi1r06dOucMbcLDw5WZmakjR444v2ivXbtWd955p44ePXrOGv/4HpeoX7++yxotZZk1a5ZOnz6t2267TW+++WaZQdmBAwckSe3btz/vWL/99psk6dixYyosLFRwcHCZ4ZGPj4/8/f2VlZV13vHKEh4eXmZ7w4YNJUlHjhw57/El+0v6n81msyk8PFxZWVkuvwMAAC4Hwg4AAMqhPF/mL/WJEpMnT9batWvVqVMnPfXUU4qMjJS/v7/c3d21evVq9e7du9RilHfddZd69OihTz75RKtXr1ZKSormzJmjOXPm6O9//7uef/55Z9+JEydq6NChWrp0qZKSkrRhwwa9+OKLmjlzpl555RWNHTtWkrRy5UrnEzNKdO7cuVTYUREXeo8q86kcZ79XJ0+e1LBhw3Ts2DE9/vjjuuuuuxQeHi5PT0/ZbDaNGDFC77//fpkLftaqVeuC5+vbt6/Wr1+v1atXa8mSJWXOxCh5OsnQoUPl5eV1zrFKwpCSWqryaSVlXf/5XExtPG0FAHC5EXYAAFDJwsLCJP3+WNNLkZiYKHd3d3366afy8/Nz2ffTTz+d87jAwEDdf//9uv/++2UYhlatWqXhw4frhRdeUGxsrFq0aOFS6/jx4zV+/HidPn1aCQkJuvfeezVx4kSNHDlS/v7+Sk5OvqTrqEqZmZk6ceJEmbM7Dh48KEkKDg6WJG3YsEHHjh3TkCFD9NRTT5Xqf773+GLceOONmjZtmnr16uWcPXPHHXe49AkNDdXevXv1j3/8o8ynvpwtICBAHh4eSk9PV2FhYanZHSdOnKjQrA5J+vnnn8tsL3nfQkJCznt8yf7U1NRz9jn7dwAAwOXiZnYBAABYTck6FN988422bdtW4XEyMzPl4+NTKuiQpA8++OCixrDZbOrTp49uv/12SdLOnTvP2bdGjRr685//rHbt2qmwsFA//PBDxQo32eLFi0u1rVq1SpmZmWrSpInq168v6ff3V/r/cOqP9u/fr2+++eaSa2nfvr1WrVolT09PDR8+XJ9++qnL/pJHsy5duvSixqtZs6ZuuukmnTlzRkuWLCm1PyEhocK1lvW+nT592nmeCz0quUGDBmrQoIHS09PLvPVq2bJlyszMVLNmzVxuYSkJbE6fPl3h2gEAOBthBwAAlczDw0MPP/ywDMPQqFGjnGt4lDh+/Li++OKLC47TtGlTZWVllfoSOnPmTK1bt65U/2+//VYff/yxc4HNEpmZmfrqq68k/f6FVJLWrVunzz//XGfOnHHp+/PPP2vPnj2y2WwKDQ298MVWQ0899ZRzLQzp9/UuHn30UUnSmDFjnO1NmzaVJH388ccua3ZkZWVp1KhRpd7Hirr55pu1cuVK2e12DR06VMuWLXPuGz16tAIDAzVjxgzNnz+/1C0jubm5evvtt3X48GGXYyTpiSeecFmk9eeff9bTTz9d4Tq/+OILvfXWW87XhmFo+vTpOnjwoNq0aaMOHTpccIzx48dLkh5++GGX9zQ9PV1///vfXfqUKJkRsnfv3grXDgDA2biNBQCAy2Dq1Kn69ttvtXTpUjVp0kS33nqrAgICdPDgQX3zzTcaPnz4Bf+lfMqUKfrzn/+sO++8U6+99ppCQ0P1v//9T99//70efvhhzZw506X/zz//rCFDhsjPz09RUVFyOBzKysrShg0blJOTozvuuMO5SOn//vc/PfzwwwoMDFTbtm1Vr149HT16VOvXr1d+fr4mTJhwwdsWzvb9998rNjb2nPt79eqlESNGlGvM8mrQoIFat26tli1bqnv37qpZs6bWrl2rrKwsde3aVePGjXP2jYqKUs+ePZWUlKSmTZuqS5cukqTk5GQFBARo4MCB+uSTTyqlrg4dOmjFihXq27evhgwZoqVLlzqfEJOYmKgBAwbovvvu05NPPqnIyEjZ7XYdPHhQe/bsUW5urr799ltn+DRy5Eh9/PHHSkxMVLNmzdS9e3cZhqHPP/9cnTt3ls1mc94uUh4PPvig7r//fs2dO1fXXnutvvvuO+3atUs+Pj6aP3/+RY3x8MMPa+3atVqxYoWaNGmibt26yTAMrVmzRidOnNCgQYP04IMPuhwzYMAALVy4UCNGjFCvXr2cM5n+85//lPsaAABwMuWBtwAAXGEkGeX9a7O4uNh46623jI4dOxq+vr5GrVq1jIiICGPkyJHGpk2bnP1SU1MNSUbnzp1LjbFs2TLj5ptvNnx8fAx/f3+jR48eRnJysrFu3TpDkhETE+Psm5aWZvzzn/80unXrZoSGhhoeHh5GUFCQ0bFjR2PhwoVGUVGRs+++ffuMf/zjH8Ytt9xiBAcHGx4eHsY111xj9OzZ00hMTCzXdZbUcqHtb3/7W6lj/lj/H4WHh5/z/Z4+fbohyZg/f75LuyQjPDzcyM/PN6ZOnWo0bNjQ8PDwMMLDw41p06YZp06dKjXWqVOnjGnTphlNmjQx7Ha7ERYWZvz1r381fvvtNyMmJsaQZKxbt67M85zL/PnzDUnG9OnTS+1LSUkxateubdSqVctYvXq1s/2XX34xJk2aZDRv3tzw9PQ0vL29jaZNmxrDhw83Fi9ebBQUFLiMU1hYaDzzzDNGo0aNnNf42GOPGfn5+ed978ryx+v87LPPjOjoaMPLy8vw8/MzBg4caOzatavUMef7/RUVFRkvv/yyccMNNxheXl6Gl5eXERUVZbz22mvG6dOny6xh5syZRosWLQy73V6h/68BAHA2m2GUc4ltAAAAWEZsbKwWLlyodevWOWe3AABwpWPNDgAAAAAAYCmEHQAAAAAAwFIIOwAAAAAAgKWwZgcAAAAAALAUZnYAAAAAAABLIewAAAAAAACWUsPsAqqDM2fO6MiRI/Lx8ZHNZjO7HAAAAAAAcBbDMHTixAmFhITIze38czcIOyQdOXJEYWFhZpcBAAAAAAAu4NChQwoNDT1vH8IOST4+PpJ+f8N8fX1NrgYAAAAAAJwtJydHYWFhzu/w50PYITlvXfH19SXsAAAAAACgGruY5SdYoBQAAAAAAFgKYQcAAAAAALAUwg4AAAAAAGAprNkBAAAAAEAlMgxDp0+fVnFxsdmlXHFq1qwpd3f3Sx6HsAMAAAAAgEpSWFiotLQ0nTp1yuxSrkg2m02hoaHy9va+pHEIOwAAAAAAqARnzpxRamqq3N3dFRISIg8Pj4t6cgh+ZxiGjh49qsOHD6tJkyaXNMODsAMAAAAAgEpQWFioM2fOKCwsTF5eXmaXc0UKDAzUgQMHVFRUdElhBwuUAgAAAABQidzc+KpdUZU1E4bfAAAAAAAAsBTCDgAAAAAAYCmEHQAAAAAAXKHi4uJ0/fXXX5axk5OTZbPZlJWVVWljHjhwQDabTdu3b6+0MctC2AEAAAAAQBWIjY2VzWYrtfXp08fs0iyHp7EAAAAAAFBF+vTpo/nz57u02e12k6o5t6KiIrNLuCTM7AAAAAAAoIrY7XY5HA6XrU6dOpJ+fxLJ3Llz1a9fP3l5eem6667Tl19+qf3796tLly6qXbu2oqOj9eOPP5Yad+7cuc5H3g4dOtTl1pMtW7aoZ8+eCggIkJ+fnzp37qxvvvnG5XibzaZ///vfGjhwoGrXrq1//vOfpc6Rl5en22+/XTfffLOOHz8uSZo/f76uu+461apVS82bN9frr7/ucszXX3+tG264QbVq1VJUVJS+/fbbS30LL4qpYcecOXPUunVr+fr6ytfXV9HR0VqxYoVzf1lTfG6++WaXMQoKCjR+/HgFBASodu3aGjBggA4fPlzVlwIAAAAAwCV7+umndc8992j79u1q3ry5RowYodGjR2vKlCnaunWrJGncuHEux+zfv18ffPCBPvvsM61cuVLbt2/X2LFjnftPnDihmJgYbdiwQZs3b1aTJk1022236cSJEy7jTJ8+XQMHDtSOHTt03333uezLzs5Wr169VFhYqDVr1qhu3bqaN2+epk2bpmeeeUZ79uzRjBkz9Pjjj2vhwoWSpNzcXPXr10/NmjXTtm3bFBcXp0ceeeRyvG2lmHobS2hoqJ599lk1btxYkrRw4UINHDhQ3377rVq2bCmp9BQfDw8PlzEmTJigzz77TAkJCapXr54mTZqkfv36adu2bXJ3d6+6iwEAAACuMFv3HzW7hKtCVONAs0tANfLf//5X3t7eLm2TJ0/W448/Lkm69957NWzYMGd7dHS0Hn/8cfXu3VuS9Le//U333nuvy/H5+flauHChQkNDJUmvvvqqbr/9dr344otyOBzq1q2bS/+5c+eqTp06SklJUb9+/ZztI0aMcAk5UlNTJUm//vqrhg8frmuvvVbvv/++83v5008/rRdffFGDBw+WJEVERGj37t2aO3euYmJi9O6776q4uFhvvfWWvLy81LJlSx0+fFgPPvjgpb2JF8HUsKN///4ur5955hnNmTNHmzdvdoYdJVN8ypKdna0333xTixYtUo8ePSRJ77zzjsLCwvT55587/zAAAAAAAFAddO3aVXPmzHFpq1u3rvPn1q1bO38OCgqSJLVq1cqlLT8/Xzk5OfL19ZUkNWjQwBl0SFJ0dLTOnDmjvXv3yuFwKCMjQ0888YTWrl2rX3/9VcXFxTp16pQOHjzoUkdUVFSZNffo0UPt2rXTBx984JxUcPToUR06dEijRo3SAw884Ox7+vRp+fn5SZL27NmjNm3ayMvLy6W2qlBtFigtLi7Whx9+qNzcXJeLT05OVv369eXv76/OnTvrmWeeUf369SVJ27ZtU1FRkXr16uXsHxISosjISG3atOmcYUdBQYEKCgqcr3Nyci7TVQEAAAAA8P9q167tvLuhLDVr1nT+bLPZztl25syZc45R0qfkf2NjY3X06FHNmjVL4eHhstvtio6OVmFhYanaynL77bdryZIl2r17tzN4KTn/vHnz1L59e5f+JYGIYRjnrPFyMz3s2LFjh6Kjo5Wfny9vb28lJiaqRYsWkqS+fftq6NChCg8PV2pqqh5//HF169ZN27Ztk91uV3p6ujw8PJyLuZQICgpSenr6Oc8ZHx+vJ5988rJeFwAAAAAAVeHgwYM6cuSIQkJCJElffvml3Nzc1LRpU0nShg0b9Prrr+u2226TJB06dEi//fbbRY//7LPPytvbW927d1dycrJatGihoKAgXXPNNfrpp580cuTIMo9r0aKFFi1apLy8PHl6ekqSNm/efCmXetFMDzuaNWum7du3KysrS0uWLFFMTIxSUlLUokULDR8+3NkvMjJSUVFRCg8P17Jly5z3BJXFMAxnglWWKVOmaOLEic7XOTk5CgsLq5wLAgAAAADgHAoKCkr943yNGjUUEBBQ4TFr1aqlmJgY/etf/1JOTo4eeughDRs2zLkkROPGjbVo0SJFRUUpJydHf//7353hw8X617/+peLiYnXr1k3Jyclq3ry54uLi9NBDD8nX11d9+/ZVQUGBtm7dqszMTE2cOFEjRozQtGnTNGrUKP3jH//QgQMH9K9//avC11kepj961sPDQ40bN1ZUVJTi4+PVpk0bvfzyy2X2DQ4OVnh4uPbt2ydJcjgcKiwsVGZmpku/jIwM571NZbHb7c4nwJRsAAAAAABcbitXrlRwcLDL1rFjx0sas3Hjxho8eLBuu+029erVS5GRkS6PgH3rrbeUmZmpG264QXfffbceeugh5/IQ5TFz5kwNGzZM3bp10w8//KD7779f//nPf7RgwQK1atVKnTt31oIFCxQRESFJ8vb21meffabdu3frhhtu0LRp0/Tcc89d0rVeLJth5k00ZejevbvCwsK0YMGCUvuOHTuma665Rm+88YbuueceZWdnKzAwUO+8845ztdq0tDSFhoZq+fLlF71AaU5Ojvz8/JSdnU3wAQAAgKsGT2OpGjyN5eqRn5+v1NRURUREqFatWmaXc0U633tYnu/upt7GMnXqVPXt21dhYWE6ceKEEhISlJycrJUrV+rkyZOKi4vTkCFDFBwcrAMHDmjq1KkKCAjQHXfcIUny8/PTqFGjNGnSJNWrV09169bVI488olatWjmfzgIAAAAAAK4upoYdv/76q+6++26lpaXJz89PrVu31sqVK9WzZ0/l5eVpx44devvtt5WVlaXg4GB17dpVixcvlo+Pj3OMmTNnqkaNGho2bJjy8vLUvXt3LViwwLn6KwAAAAAAuLpUu9tYzMBtLAAAALgacRtL1eA2lqsHt7Fcusq6jcX0BUoBAAAAAAAqE2EHAAAAAACwFMIOAAAAAABgKYQdAAAAAADAUgg7AAAAAACApRB2AAAAAAAAS6lhdgEAAAAAAOB3Vf1IaKs+GpmZHQAAAAAA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= sns.FacetGrid(titanic_df, col='Sex', row='Survived', aspect=1.2)\ngrid.map(plt.hist, 'Age', alpha=.5, bins=20)\ngrid.add_legend();","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:11.606273Z","iopub.execute_input":"2023-08-03T11:10:11.606864Z","iopub.status.idle":"2023-08-03T11:10:13.740822Z","shell.execute_reply.started":"2023-08-03T11:10:11.606824Z","shell.execute_reply":"2023-08-03T11:10:13.739346Z"},"trusted":true},"execution_count":81,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n  self._figure.tight_layout(*args, **kwargs)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 731.111x600 with 4 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"### Observation\n* Most male passengers aged 20-35 did not survive.\n* Survival rate is low in pclass 3 becouse number of males is more in plcass 3.\n* Most of the males are frome port-S and many of them are traveling in pclass 3.\n* Survival rate of alone is low becouse most of the men are travelling alone and their mean age is 31.\n","metadata":{}},{"cell_type":"markdown","source":"## **<mark style=\"color:#404040;border-radius:5px;opacity:1.0;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"> 3- Multivariative Analysis</mark>**\n\n<br>\n\n## <b>I <span style='color:#595959'>|</span> Sex, Pclass and Embarked analysis </b> ","metadata":{}},{"cell_type":"code","source":"grid = sns.FacetGrid(titanic_df, col='Embarked', aspect=1.6)\ngrid.map(sns.pointplot, 'Pclass', 'Survived', 'Sex')\ngrid.add_legend();","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:13.742514Z","iopub.execute_input":"2023-08-03T11:10:13.742929Z","iopub.status.idle":"2023-08-03T11:10:15.680746Z","shell.execute_reply.started":"2023-08-03T11:10:13.742876Z","shell.execute_reply":"2023-08-03T11:10:15.679427Z"},"trusted":true},"execution_count":82,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:712: UserWarning: Using the pointplot function without specifying `order` is likely to produce an incorrect plot.\n  warnings.warn(warning)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:717: UserWarning: Using the pointplot function without specifying `hue_order` is likely to produce an incorrect plot.\n  warnings.warn(warning)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n  self._figure.tight_layout(*args, **kwargs)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1538x300 with 3 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<b>II <span style='color:#595959'>|</span> Sex, Fare and Embarked analysis </b> ","metadata":{}},{"cell_type":"code","source":"grid = sns.FacetGrid(titanic_df, col='Embarked', row='Survived', aspect=1.6)\ngrid.map(sns.barplot, 'Sex', 'Fare', alpha=.5, ci=None)\ngrid.add_legend();","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:15.682188Z","iopub.execute_input":"2023-08-03T11:10:15.682524Z","iopub.status.idle":"2023-08-03T11:10:17.845385Z","shell.execute_reply.started":"2023-08-03T11:10:15.682493Z","shell.execute_reply":"2023-08-03T11:10:17.844248Z"},"trusted":true},"execution_count":83,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:712: UserWarning: Using the barplot function without specifying `order` is likely to produce an incorrect plot.\n  warnings.warn(warning)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:848: FutureWarning: \n\nThe `ci` parameter is deprecated. Use `errorbar=None` for the same effect.\n\n  func(*plot_args, **plot_kwargs)\n/opt/conda/lib/python3.10/site-packages/seaborn/axisgrid.py:118: UserWarning: The figure layout has changed to tight\n  self._figure.tight_layout(*args, **kwargs)\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1451.11x600 with 6 Axes>","image/png":"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"},"metadata":{}}]},{"cell_type":"markdown","source":"## <b><span style='color:#595959'>|</span> Observations </b> \n\n* Women on port Q and S have a higher chance of survival. But it's inverse at port C.\n\n* Men have a high survival probability on port C, but a low probability on port Q or S.\n\n* Most female passengers inside Pclass 3 on port C and S non-survived but most of them survived on port Q.\n<br>\n \n \n* Higher fare paying passengers had better survival. \n\n* Passengers on port Q paid less fare.\n\n* Nearly no male survived on port Q. \n\n* Femals on port Q (about `37%` of all port Q passengers) Survived, however they paid small fare.\n\n","metadata":{}},{"cell_type":"markdown","source":"# <a id=\"4\"></a>\n<div style=\"padding: 30px;color:white;margin:10;font-size:170%;text-align:left;display:fill;border-radius:10px;background-color:#F1C40F;overflow:hidden;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"><b><span style='color:#404040'>3 | data preprocessing </span></b> </div>\n\n<br>\n\n## **<mark style=\"color:#404040;border-radius:5px;opacity:1.0;background-image: url(https://th.bing.com/th/id/R.3be5e39321febd4c1f758691e109c8bd?rik=lkhAzU4ulIuL0Q&riu=http%3a%2f%2fupload.wikimedia.org%2fwikipedia%2fcommons%2f5%2f56%2fRMS_Titanic_2.jpg&ehk=VbIvq0%2b63pXvH%2bl3Ln4tlz%2bwppwyoN%2fUTZDuGVYTHiQ%3d&risl=&pid=ImgRaw&r=0)\"> 1-  Drop unuseful columns </mark>**\n<br>\n\n* Drop `PassengerId` column from the train set, because it won't beneficial\n\n* Drop `Cabin` column, becouse 77% of its data are missing. And a general rule is that, if more than half of the data in a column is missing, it's better to drop it.\n\n* Drop `Ticket` column, becouse there may not be a correlation between Ticket and survival and its high ratio of duplicates.","metadata":{}},{"cell_type":"code","source":"titanic_df.drop(columns='PassengerId', inplace=True)\ntitanic_df.drop(columns='Cabin', inplace=True)\ntitanic_df.drop(columns='Ticket', inplace=True)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.846932Z","iopub.execute_input":"2023-08-03T11:10:17.847889Z","iopub.status.idle":"2023-08-03T11:10:17.856740Z","shell.execute_reply.started":"2023-08-03T11:10:17.847849Z","shell.execute_reply":"2023-08-03T11:10:17.855643Z"},"trusted":true},"execution_count":84,"outputs":[]},{"cell_type":"markdown","source":"## <b>I <span style='color:#595959'>|</span> Fare column</b> \n\nFrist we will check for missing values then we can create a new column name Individual_fare.","metadata":{}},{"cell_type":"code","source":"titanic_df['Fare'].isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.857983Z","iopub.execute_input":"2023-08-03T11:10:17.858294Z","iopub.status.idle":"2023-08-03T11:10:17.877356Z","shell.execute_reply.started":"2023-08-03T11:10:17.858267Z","shell.execute_reply":"2023-08-03T11:10:17.875992Z"},"trusted":true},"execution_count":85,"outputs":[{"execution_count":85,"output_type":"execute_result","data":{"text/plain":"0"},"metadata":{}}]},{"cell_type":"code","source":"titanic_df['Individual_fare'] = titanic_df['Fare']/titanic_df['family_size']","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.879086Z","iopub.execute_input":"2023-08-03T11:10:17.879552Z","iopub.status.idle":"2023-08-03T11:10:17.893354Z","shell.execute_reply.started":"2023-08-03T11:10:17.879509Z","shell.execute_reply":"2023-08-03T11:10:17.892091Z"},"trusted":true},"execution_count":86,"outputs":[]},{"cell_type":"code","source":"titanic_df[['Individual_fare','Fare']].describe()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.894961Z","iopub.execute_input":"2023-08-03T11:10:17.895405Z","iopub.status.idle":"2023-08-03T11:10:17.924673Z","shell.execute_reply.started":"2023-08-03T11:10:17.895364Z","shell.execute_reply":"2023-08-03T11:10:17.923282Z"},"trusted":true},"execution_count":87,"outputs":[{"execution_count":87,"output_type":"execute_result","data":{"text/plain":"       Individual_fare        Fare\ncount       891.000000  891.000000\nmean         19.916375   32.204208\nstd          35.841257   49.693429\nmin           0.000000    0.000000\n25%           7.250000    7.910400\n50%           8.300000   14.454200\n75%          23.666667   31.000000\nmax         512.329200  512.329200","text/html":"<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>Individual_fare</th>\n      <th>Fare</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>891.000000</td>\n      <td>891.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>19.916375</td>\n      <td>32.204208</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>35.841257</td>\n      <td>49.693429</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>7.250000</td>\n      <td>7.910400</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>8.300000</td>\n      <td>14.454200</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>23.666667</td>\n      <td>31.000000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>512.329200</td>\n      <td>512.329200</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"## <b>II <span style='color:#595959'>|</span>Name column</b>\n\n* First we will make new columns called `surname` and `title`.","metadata":{}},{"cell_type":"code","source":"titanic_df['Surname']=titanic_df['Name'].str.split(',').str.get(0)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.925978Z","iopub.execute_input":"2023-08-03T11:10:17.926306Z","iopub.status.idle":"2023-08-03T11:10:17.937410Z","shell.execute_reply.started":"2023-08-03T11:10:17.926277Z","shell.execute_reply":"2023-08-03T11:10:17.936086Z"},"trusted":true},"execution_count":88,"outputs":[]},{"cell_type":"code","source":"titanic_df['title'] = titanic_df['Name'].str.split(',').str.get(1).str.strip().str.split(' ').str.get(0)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:10:17.939748Z","iopub.execute_input":"2023-08-03T11:10:17.940277Z","iopub.status.idle":"2023-08-03T11:10:18.565494Z","shell.execute_reply.started":"2023-08-03T11:10:17.940233Z","shell.execute_reply":"2023-08-03T11:10:18.564574Z"},"trusted":true},"execution_count":89,"outputs":[]},{"cell_type":"code","source":"def replace_titles(x):\n    title=x['title']\n    \n    if (x['Age']<13): return 'Boy'\n    \n    if title in ['Don.', 'Rev.', 'Col.','Capt.','Sir.','Major.','Jonkheer.','Mr','the','Master.']: return 'Mr.'\n    \n    elif title in ['Countess.', 'Mme.','Mrs']: return 'Mrs.'\n    \n    elif title in ['Mlle.', 'Ms.','Lady.','Dona.','Miss']: return 'Miss.'\n    \n    elif title =='Dr.':\n        \n        if x['Sex']=='male.': return 'Mr.'\n        else: return 'Mrs.'\n        \n    else: return title","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:49:30.318900Z","iopub.execute_input":"2023-08-03T11:49:30.319498Z","iopub.status.idle":"2023-08-03T11:49:30.328231Z","shell.execute_reply.started":"2023-08-03T11:49:30.319459Z","shell.execute_reply":"2023-08-03T11:49:30.326830Z"},"trusted":true},"execution_count":119,"outputs":[]},{"cell_type":"code","source":"titanic_df['title']=titanic_df.apply(replace_titles,axis=1)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:49:31.152293Z","iopub.execute_input":"2023-08-03T11:49:31.152857Z","iopub.status.idle":"2023-08-03T11:49:31.179055Z","shell.execute_reply.started":"2023-08-03T11:49:31.152816Z","shell.execute_reply":"2023-08-03T11:49:31.177792Z"},"trusted":true},"execution_count":120,"outputs":[]},{"cell_type":"code","source":"titanic_df['title'].value_counts()","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:49:32.100242Z","iopub.execute_input":"2023-08-03T11:49:32.101521Z","iopub.status.idle":"2023-08-03T11:49:32.113889Z","shell.execute_reply.started":"2023-08-03T11:49:32.101470Z","shell.execute_reply":"2023-08-03T11:49:32.111804Z"},"trusted":true},"execution_count":121,"outputs":[{"execution_count":121,"output_type":"execute_result","data":{"text/plain":"Mr.      535\nMiss.    154\nMrs.     133\nBoy       69\nName: title, dtype: int64"},"metadata":{}}]},{"cell_type":"code","source":"titanic_df.head(5)","metadata":{"execution":{"iopub.status.busy":"2023-08-03T11:51:54.916983Z","iopub.execute_input":"2023-08-03T11:51:54.918261Z","iopub.status.idle":"2023-08-03T11:51:54.938869Z","shell.execute_reply.started":"2023-08-03T11:51:54.918204Z","shell.execute_reply":"2023-08-03T11:51:54.937118Z"},"trusted":true},"execution_count":123,"outputs":[{"execution_count":123,"output_type":"execute_result","data":{"text/plain":"   Survived  Pclass                                               Name  \\\n0         0       3                            Braund, Mr. Owen Harris   \n1         1       1  Cumings, Mrs. John Bradley (Florence Briggs Th...   \n2         1       3                             Heikkinen, Miss. Laina   \n3         1       1       Futrelle, Mrs. Jacques Heath (Lily May Peel)   \n4         0       3                           Allen, Mr. William Henry   \n\n      Sex   Age     Fare Embarked  family_size family_type  Individual_fare  \\\n0    male  22.0   7.2500        S            2       small          3.62500   \n1  female  38.0  71.2833        C            2       small         35.64165   \n2  female  26.0   7.9250        S            1       alone          7.92500   \n3  female  35.0  53.1000        S            2       small         26.55000   \n4    male  35.0   8.0500        S            1       alone          8.05000   \n\n     Surname  title  \n0     Braund    Mr.  \n1    Cumings   Mrs.  \n2  Heikkinen  Miss.  \n3   Futrelle   Mrs.  \n4      Allen    Mr.  ","text/html":"<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>Survived</th>\n      <th>Pclass</th>\n      <th>Name</th>\n      <th>Sex</th>\n      <th>Age</th>\n      <th>Fare</th>\n      <th>Embarked</th>\n      <th>family_size</th>\n      <th>family_type</th>\n      <th>Individual_fare</th>\n      <th>Surname</th>\n      <th>title</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>3</td>\n      <td>Braund, Mr. Owen Harris</td>\n      <td>male</td>\n      <td>22.0</td>\n      <td>7.2500</td>\n      <td>S</td>\n      <td>2</td>\n      <td>small</td>\n      <td>3.62500</td>\n      <td>Braund</td>\n      <td>Mr.</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>1</td>\n      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n      <td>female</td>\n      <td>38.0</td>\n      <td>71.2833</td>\n      <td>C</td>\n      <td>2</td>\n      <td>small</td>\n      <td>35.64165</td>\n      <td>Cumings</td>\n      <td>Mrs.</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1</td>\n      <td>3</td>\n      <td>Heikkinen, Miss. Laina</td>\n      <td>female</td>\n      <td>26.0</td>\n      <td>7.9250</td>\n      <td>S</td>\n      <td>1</td>\n      <td>alone</td>\n      <td>7.92500</td>\n      <td>Heikkinen</td>\n      <td>Miss.</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1</td>\n      <td>1</td>\n      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n      <td>female</td>\n      <td>35.0</td>\n      <td>53.1000</td>\n      <td>S</td>\n      <td>2</td>\n      <td>small</td>\n      <td>26.55000</td>\n      <td>Futrelle</td>\n      <td>Mrs.</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>3</td>\n      <td>Allen, Mr. William Henry</td>\n      <td>male</td>\n      <td>35.0</td>\n      <td>8.0500</td>\n      <td>S</td>\n      <td>1</td>\n      <td>alone</td>\n      <td>8.05000</td>\n      <td>Allen</td>\n      <td>Mr.</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"<div style=\"text-align: center;\">\n   <span style=\"font-size: 1.4em; font-weight: bold; font-family: Arial; max-width:1200px; display: inline-block;\">\n       If you find this notebook useful, I really would appreciate your upvote!\n   </span>\n</div>","metadata":{}},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}