{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "1e233234",
   "metadata": {},
   "source": [
    "## Student Performance Indicator\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "62e05101",
   "metadata": {},
   "source": [
    "#### Life cycle of Machine learning Project\n",
    "\n",
    "- Understanding the Problem Statement\n",
    "- Data Collection\n",
    "- Data Checks to perform\n",
    "- Exploratory data analysis\n",
    "- Data Pre-Processing\n",
    "- Model Training\n",
    "- Choose best model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfcea981",
   "metadata": {},
   "source": [
    "### 1) Problem statement\n",
    "- This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.\n",
    "\n",
    "\n",
    "### 2) Data Collection\n",
    "- Dataset Source - https://www.kaggle.com/datasets/spscientist/students-performance-in-exams?datasetId=74977\n",
    "- The data consists of 8 column and 1000 rows."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15b1355f",
   "metadata": {},
   "source": [
    "### 2.1 Import Data and Required Packages\n",
    "####  Importing Pandas, Numpy, Matplotlib, Seaborn and Warings Library."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a331908f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3caeb0bb",
   "metadata": {},
   "source": [
    "#### Import the CSV Data as Pandas DataFrame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d1a0f671",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"data/stud.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92c8fd8a",
   "metadata": {},
   "source": [
    "#### Show Top 5 Records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "63931f71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>gender</th>\n",
       "      <th>race_ethnicity</th>\n",
       "      <th>parental_level_of_education</th>\n",
       "      <th>lunch</th>\n",
       "      <th>test_preparation_course</th>\n",
       "      <th>math_score</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>writing_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>bachelor's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>female</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>completed</td>\n",
       "      <td>69</td>\n",
       "      <td>90</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>master's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>90</td>\n",
       "      <td>95</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>male</td>\n",
       "      <td>group A</td>\n",
       "      <td>associate's degree</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>none</td>\n",
       "      <td>47</td>\n",
       "      <td>57</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>male</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender race_ethnicity parental_level_of_education         lunch  \\\n",
       "0  female        group B           bachelor's degree      standard   \n",
       "1  female        group C                some college      standard   \n",
       "2  female        group B             master's degree      standard   \n",
       "3    male        group A          associate's degree  free/reduced   \n",
       "4    male        group C                some college      standard   \n",
       "\n",
       "  test_preparation_course  math_score  reading_score  writing_score  \n",
       "0                    none          72             72             74  \n",
       "1               completed          69             90             88  \n",
       "2                    none          90             95             93  \n",
       "3                    none          47             57             44  \n",
       "4                    none          76             78             75  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56a49220",
   "metadata": {},
   "source": [
    "#### Shape of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d8dff578",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000, 8)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "041aa39d",
   "metadata": {},
   "source": [
    "### 2.2 Dataset information"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e3cff9d",
   "metadata": {},
   "source": [
    "- gender : sex of students  -> (Male/female)\n",
    "- race/ethnicity : ethnicity of students -> (Group A, B,C, D,E)\n",
    "- parental level of education : parents' final education ->(bachelor's degree,some college,master's degree,associate's degree,high school)\n",
    "- lunch : having lunch before test (standard or free/reduced) \n",
    "- test preparation course : complete or not complete before test\n",
    "- math score\n",
    "- reading score\n",
    "- writing score"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27c4b61b",
   "metadata": {},
   "source": [
    "### 3. Data Checks to perform\n",
    "\n",
    "- Check Missing values\n",
    "- Check Duplicates\n",
    "- Check data type\n",
    "- Check the number of unique values of each column\n",
    "- Check statistics of data set\n",
    "- Check various categories present in the different categorical column"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c31d4123",
   "metadata": {},
   "source": [
    "### 3.1 Check Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9589407c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender                         0\n",
       "race_ethnicity                 0\n",
       "parental_level_of_education    0\n",
       "lunch                          0\n",
       "test_preparation_course        0\n",
       "math_score                     0\n",
       "reading_score                  0\n",
       "writing_score                  0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce8f7b83",
   "metadata": {},
   "source": [
    "#### There are no missing values in the data set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5840ff7f",
   "metadata": {},
   "source": [
    "### 3.2 Check Duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1c02b2ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5d7ae8e",
   "metadata": {},
   "source": [
    "#### There are no duplicates  values in the data set"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30dfacc8",
   "metadata": {},
   "source": [
    "### 3.3 Check data types"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "25f95bc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000 entries, 0 to 999\n",
      "Data columns (total 8 columns):\n",
      " #   Column                       Non-Null Count  Dtype \n",
      "---  ------                       --------------  ----- \n",
      " 0   gender                       1000 non-null   object\n",
      " 1   race_ethnicity               1000 non-null   object\n",
      " 2   parental_level_of_education  1000 non-null   object\n",
      " 3   lunch                        1000 non-null   object\n",
      " 4   test_preparation_course      1000 non-null   object\n",
      " 5   math_score                   1000 non-null   int64 \n",
      " 6   reading_score                1000 non-null   int64 \n",
      " 7   writing_score                1000 non-null   int64 \n",
      "dtypes: int64(3), object(5)\n",
      "memory usage: 62.6+ KB\n"
     ]
    }
   ],
   "source": [
    "# Check Null and Dtypes\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0dbbf5b4",
   "metadata": {},
   "source": [
    "### 3.4 Checking the number of unique values of each column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0f492647",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gender                          2\n",
       "race_ethnicity                  5\n",
       "parental_level_of_education     6\n",
       "lunch                           2\n",
       "test_preparation_course         2\n",
       "math_score                     81\n",
       "reading_score                  72\n",
       "writing_score                  77\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a4f6b022",
   "metadata": {},
   "source": [
    "### 3.5 Check statistics of data set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f37d383a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>math_score</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>writing_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000.00000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66.08900</td>\n",
       "      <td>69.169000</td>\n",
       "      <td>68.054000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>15.16308</td>\n",
       "      <td>14.600192</td>\n",
       "      <td>15.195657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>10.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>57.00000</td>\n",
       "      <td>59.000000</td>\n",
       "      <td>57.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>66.00000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>69.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>77.00000</td>\n",
       "      <td>79.000000</td>\n",
       "      <td>79.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>100.00000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       math_score  reading_score  writing_score\n",
       "count  1000.00000    1000.000000    1000.000000\n",
       "mean     66.08900      69.169000      68.054000\n",
       "std      15.16308      14.600192      15.195657\n",
       "min       0.00000      17.000000      10.000000\n",
       "25%      57.00000      59.000000      57.750000\n",
       "50%      66.00000      70.000000      69.000000\n",
       "75%      77.00000      79.000000      79.000000\n",
       "max     100.00000     100.000000     100.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9dc41207",
   "metadata": {},
   "source": [
    "#### Insight\n",
    "- From above description of numerical data, all means are very close to each other - between 66 and 68.05;\n",
    "- All standard deviations are also close - between 14.6 and 15.19;\n",
    "- While there is a minimum score  0 for math, for writing minimum is much higher = 10 and for reading myet higher = 17"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac52d9cb",
   "metadata": {},
   "source": [
    "### 3.7 Exploring Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1afd3c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>gender</th>\n",
       "      <th>race_ethnicity</th>\n",
       "      <th>parental_level_of_education</th>\n",
       "      <th>lunch</th>\n",
       "      <th>test_preparation_course</th>\n",
       "      <th>math_score</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>writing_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>bachelor's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>female</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>completed</td>\n",
       "      <td>69</td>\n",
       "      <td>90</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>master's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>90</td>\n",
       "      <td>95</td>\n",
       "      <td>93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>male</td>\n",
       "      <td>group A</td>\n",
       "      <td>associate's degree</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>none</td>\n",
       "      <td>47</td>\n",
       "      <td>57</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>male</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender race_ethnicity parental_level_of_education         lunch  \\\n",
       "0  female        group B           bachelor's degree      standard   \n",
       "1  female        group C                some college      standard   \n",
       "2  female        group B             master's degree      standard   \n",
       "3    male        group A          associate's degree  free/reduced   \n",
       "4    male        group C                some college      standard   \n",
       "\n",
       "  test_preparation_course  math_score  reading_score  writing_score  \n",
       "0                    none          72             72             74  \n",
       "1               completed          69             90             88  \n",
       "2                    none          90             95             93  \n",
       "3                    none          47             57             44  \n",
       "4                    none          76             78             75  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b9081742",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Categories in 'gender' variable:      ['female' 'male']\n",
      "Categories in 'race_ethnicity' variable:   ['group B' 'group C' 'group A' 'group D' 'group E']\n",
      "Categories in'parental level of education' variable: [\"bachelor's degree\" 'some college' \"master's degree\" \"associate's degree\"\n",
      " 'high school' 'some high school']\n",
      "Categories in 'lunch' variable:      ['standard' 'free/reduced']\n",
      "Categories in 'test preparation course' variable:      ['none' 'completed']\n"
     ]
    }
   ],
   "source": [
    "print(\"Categories in 'gender' variable:     \", end=\" \")\n",
    "print(df[\"gender\"].unique())\n",
    "\n",
    "print(\"Categories in 'race_ethnicity' variable:  \", end=\" \")\n",
    "print(df[\"race_ethnicity\"].unique())\n",
    "\n",
    "print(\"Categories in'parental level of education' variable:\", end=\" \")\n",
    "print(df[\"parental_level_of_education\"].unique())\n",
    "\n",
    "print(\"Categories in 'lunch' variable:     \", end=\" \")\n",
    "print(df[\"lunch\"].unique())\n",
    "\n",
    "print(\"Categories in 'test preparation course' variable:     \", end=\" \")\n",
    "print(df[\"test_preparation_course\"].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2dd97e26",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We have 3 numerical features : ['math_score', 'reading_score', 'writing_score']\n",
      "\n",
      "We have 5 categorical features : ['gender', 'race_ethnicity', 'parental_level_of_education', 'lunch', 'test_preparation_course']\n"
     ]
    }
   ],
   "source": [
    "# define numerical & categorical columns\n",
    "numeric_features = [feature for feature in df.columns if df[feature].dtype != \"O\"]\n",
    "categorical_features = [feature for feature in df.columns if df[feature].dtype == \"O\"]\n",
    "\n",
    "# print columns\n",
    "print(\n",
    "    \"We have {} numerical features : {}\".format(len(numeric_features), numeric_features)\n",
    ")\n",
    "print(\n",
    "    \"\\nWe have {} categorical features : {}\".format(\n",
    "        len(categorical_features), categorical_features\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ae2822d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>gender</th>\n",
       "      <th>race_ethnicity</th>\n",
       "      <th>parental_level_of_education</th>\n",
       "      <th>lunch</th>\n",
       "      <th>test_preparation_course</th>\n",
       "      <th>math_score</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>writing_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>bachelor's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>female</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>completed</td>\n",
       "      <td>69</td>\n",
       "      <td>90</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender race_ethnicity parental_level_of_education     lunch  \\\n",
       "0  female        group B           bachelor's degree  standard   \n",
       "1  female        group C                some college  standard   \n",
       "\n",
       "  test_preparation_course  math_score  reading_score  writing_score  \n",
       "0                    none          72             72             74  \n",
       "1               completed          69             90             88  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd42eda6",
   "metadata": {},
   "source": [
    "### 3.8 Adding columns for \"Total Score\" and \"Average\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "54ff4c94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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>gender</th>\n",
       "      <th>race_ethnicity</th>\n",
       "      <th>parental_level_of_education</th>\n",
       "      <th>lunch</th>\n",
       "      <th>test_preparation_course</th>\n",
       "      <th>math_score</th>\n",
       "      <th>reading_score</th>\n",
       "      <th>writing_score</th>\n",
       "      <th>total_score</th>\n",
       "      <th>average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>bachelor's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>72</td>\n",
       "      <td>72</td>\n",
       "      <td>74</td>\n",
       "      <td>218</td>\n",
       "      <td>72.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>female</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>completed</td>\n",
       "      <td>69</td>\n",
       "      <td>90</td>\n",
       "      <td>88</td>\n",
       "      <td>247</td>\n",
       "      <td>82.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>female</td>\n",
       "      <td>group B</td>\n",
       "      <td>master's degree</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>90</td>\n",
       "      <td>95</td>\n",
       "      <td>93</td>\n",
       "      <td>278</td>\n",
       "      <td>92.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>male</td>\n",
       "      <td>group A</td>\n",
       "      <td>associate's degree</td>\n",
       "      <td>free/reduced</td>\n",
       "      <td>none</td>\n",
       "      <td>47</td>\n",
       "      <td>57</td>\n",
       "      <td>44</td>\n",
       "      <td>148</td>\n",
       "      <td>49.333333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>male</td>\n",
       "      <td>group C</td>\n",
       "      <td>some college</td>\n",
       "      <td>standard</td>\n",
       "      <td>none</td>\n",
       "      <td>76</td>\n",
       "      <td>78</td>\n",
       "      <td>75</td>\n",
       "      <td>229</td>\n",
       "      <td>76.333333</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   gender race_ethnicity parental_level_of_education         lunch  \\\n",
       "0  female        group B           bachelor's degree      standard   \n",
       "1  female        group C                some college      standard   \n",
       "2  female        group B             master's degree      standard   \n",
       "3    male        group A          associate's degree  free/reduced   \n",
       "4    male        group C                some college      standard   \n",
       "\n",
       "  test_preparation_course  math_score  reading_score  writing_score  \\\n",
       "0                    none          72             72             74   \n",
       "1               completed          69             90             88   \n",
       "2                    none          90             95             93   \n",
       "3                    none          47             57             44   \n",
       "4                    none          76             78             75   \n",
       "\n",
       "   total_score    average  \n",
       "0          218  72.666667  \n",
       "1          247  82.333333  \n",
       "2          278  92.666667  \n",
       "3          148  49.333333  \n",
       "4          229  76.333333  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"total_score\"] = df[\"math_score\"] + df[\"reading_score\"] + df[\"writing_score\"]\n",
    "df[\"average\"] = df[\"total_score\"] / 3\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "26dc3844",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of students with full marks in Maths: 7\n",
      "Number of students with full marks in Writing: 14\n",
      "Number of students with full marks in Reading: 17\n"
     ]
    }
   ],
   "source": [
    "# reading_full = df[df[\"reading_score\"] == 100][\"average\"].count()\n",
    "# writing_full = df[df[\"writing_score\"] == 100][\"average\"].count()\n",
    "# math_full = df[df[\"math_score\"] == 100][\"average\"].count()\n",
    "\n",
    "reading_full = df[df[\"reading_score\"] == 100][\"lunch\"].count()\n",
    "writing_full = df[df[\"writing_score\"] == 100][\"lunch\"].count()\n",
    "math_full = df[df[\"math_score\"] == 100][\"lunch\"].count()\n",
    "\n",
    "print(f\"Number of students with full marks in Maths: {math_full}\")\n",
    "print(f\"Number of students with full marks in Writing: {writing_full}\")\n",
    "print(f\"Number of students with full marks in Reading: {reading_full}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "572c8a75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of students with less than 20 marks in Maths: 4\n",
      "Number of students with less than 20 marks in Writing: 3\n",
      "Number of students with less than 20 marks in Reading: 1\n"
     ]
    }
   ],
   "source": [
    "# reading_less_20 = df[df['reading_score'] <= 20]['average'].count()\n",
    "# writing_less_20 = df[df['writing_score'] <= 20]['average'].count()\n",
    "# math_less_20 = df[df['math_score'] <= 20]['average'].count()\n",
    "\n",
    "reading_less_20 = df[df[\"reading_score\"] <= 20][\"gender\"].count()\n",
    "writing_less_20 = df[df[\"writing_score\"] <= 20][\"gender\"].count()\n",
    "math_less_20 = df[df[\"math_score\"] <= 20][\"gender\"].count()\n",
    "\n",
    "print(f\"Number of students with less than 20 marks in Maths: {math_less_20}\")\n",
    "print(f\"Number of students with less than 20 marks in Writing: {writing_less_20}\")\n",
    "print(f\"Number of students with less than 20 marks in Reading: {reading_less_20}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "190e078c",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    " - From above values we get students have performed the worst in Maths \n",
    " - Best performance is in reading section"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e598bc93",
   "metadata": {},
   "source": [
    "### 4. Exploring Data ( Visualization )\n",
    "#### 4.1 Visualize average score distribution to make some conclusion. \n",
    "- Histogram\n",
    "- Kernel Distribution Function (KDE)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f4726058",
   "metadata": {},
   "source": [
    "#### 4.1.1 Histogram & KDE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c2510266",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize=(15, 7))\n",
    "plt.subplot(121)\n",
    "sns.histplot(data=df, x=\"average\", bins=30, kde=True, color=\"g\")\n",
    "plt.subplot(122)\n",
    "sns.histplot(data=df, x=\"average\", kde=True, hue=\"gender\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e7967c7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x700 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize=(15, 7))\n",
    "plt.subplot(121)\n",
    "sns.histplot(data=df, x=\"total_score\", bins=30, kde=True, color=\"g\")\n",
    "plt.subplot(122)\n",
    "sns.histplot(data=df, x=\"total_score\", kde=True, hue=\"gender\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d200b76",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    "- Female students tend to perform well then male students."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "15522737",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(1, 3, figsize=(25, 6))\n",
    "plt.subplot(141)\n",
    "sns.histplot(data=df, x=\"average\", kde=True, hue=\"lunch\")\n",
    "plt.subplot(142)\n",
    "sns.histplot(data=df[df.gender == \"female\"], x=\"average\", kde=True, hue=\"lunch\")\n",
    "plt.subplot(143)\n",
    "sns.histplot(data=df[df.gender == \"male\"], x=\"average\", kde=True, hue=\"lunch\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "569113e7",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    "- Standard lunch helps perform well in exams.\n",
    "- Standard lunch helps perform well in exams be it a male or a female."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "0b6c697a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(1, 3, figsize=(25, 6))\n",
    "plt.subplot(141)\n",
    "ax = sns.histplot(data=df, x=\"average\", kde=True, hue=\"parental_level_of_education\")\n",
    "plt.subplot(142)\n",
    "ax = sns.histplot(\n",
    "    data=df[df.gender == \"male\"],\n",
    "    x=\"average\",\n",
    "    kde=True,\n",
    "    hue=\"parental_level_of_education\",\n",
    ")\n",
    "plt.subplot(143)\n",
    "ax = sns.histplot(\n",
    "    data=df[df.gender == \"female\"],\n",
    "    x=\"average\",\n",
    "    kde=True,\n",
    "    hue=\"parental_level_of_education\",\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e7fd489",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    "- In general parent's education don't help student perform well in exam.\n",
    "- 2nd plot shows that parent's whose education is of associate's degree or master's degree their male child tend to perform well in exam\n",
    "- 3rd plot we can see there is no effect of parent's education on female students."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "0b30cbd7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2500x600 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplots(1, 3, figsize=(25, 6))\n",
    "plt.subplot(141)\n",
    "ax = sns.histplot(data=df, x=\"average\", kde=True, hue=\"race_ethnicity\")\n",
    "plt.subplot(142)\n",
    "ax = sns.histplot(\n",
    "    data=df[df.gender == \"female\"], x=\"average\", kde=True, hue=\"race_ethnicity\"\n",
    ")\n",
    "plt.subplot(143)\n",
    "ax = sns.histplot(\n",
    "    data=df[df.gender == \"male\"], x=\"average\", kde=True, hue=\"race_ethnicity\"\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6180a334",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    "- Students of group A and group B tends to perform poorly in exam.\n",
    "- Students of group A and group B tends to perform poorly in exam irrespective of whether they are male or female"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f7eef3",
   "metadata": {},
   "source": [
    "#### 4.2 Maximumum score of students in all three subjects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "14db115f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(18, 8))\n",
    "plt.subplot(1, 4, 1)\n",
    "plt.title(\"MATH SCORES\")\n",
    "sns.violinplot(y=\"math_score\", data=df, color=\"red\", linewidth=3)\n",
    "plt.subplot(1, 4, 2)\n",
    "plt.title(\"READING SCORES\")\n",
    "sns.violinplot(y=\"reading_score\", data=df, color=\"green\", linewidth=3)\n",
    "plt.subplot(1, 4, 3)\n",
    "plt.title(\"WRITING SCORES\")\n",
    "sns.violinplot(y=\"writing_score\", data=df, color=\"blue\", linewidth=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66d1041f",
   "metadata": {},
   "source": [
    "#### Insights\n",
    "- From the above three plots its clearly visible that most of the students score in between 60-80 in Maths whereas in reading and writing most of them score from 50-80"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae77a33d",
   "metadata": {},
   "source": [
    "#### 4.3 Multivariate analysis using pieplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2ddf9ce3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 3000x1200 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (30, 12)\n",
    "\n",
    "plt.subplot(1, 5, 1)\n",
    "size = df[\"gender\"].value_counts()\n",
    "labels = \"Female\", \"Male\"\n",
    "color = [\"red\", \"green\"]\n",
    "\n",
    "\n",
    "plt.pie(size, colors=color, labels=labels, autopct=\".%2f%%\")\n",
    "plt.title(\"Gender\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n",
    "plt.subplot(1, 5, 2)\n",
    "size = df[\"race_ethnicity\"].value_counts()\n",
    "labels = \"Group C\", \"Group D\", \"Group B\", \"Group E\", \"Group A\"\n",
    "color = [\"red\", \"green\", \"blue\", \"cyan\", \"orange\"]\n",
    "\n",
    "plt.pie(size, colors=color, labels=labels, autopct=\".%2f%%\")\n",
    "plt.title(\"Race/Ethnicity\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n",
    "plt.subplot(1, 5, 3)\n",
    "size = df[\"lunch\"].value_counts()\n",
    "labels = \"Standard\", \"Free\"\n",
    "color = [\"red\", \"green\"]\n",
    "\n",
    "plt.pie(size, colors=color, labels=labels, autopct=\".%2f%%\")\n",
    "plt.title(\"Lunch\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n",
    "plt.subplot(1, 5, 4)\n",
    "size = df[\"test_preparation_course\"].value_counts()\n",
    "labels = \"None\", \"Completed\"\n",
    "color = [\"red\", \"green\"]\n",
    "\n",
    "plt.pie(size, colors=color, labels=labels, autopct=\".%2f%%\")\n",
    "plt.title(\"Test Course\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n",
    "plt.subplot(1, 5, 5)\n",
    "size = df[\"parental_level_of_education\"].value_counts()\n",
    "labels = (\n",
    "    \"Some College\",\n",
    "    \"Associate's Degree\",\n",
    "    \"High School\",\n",
    "    \"Some High School\",\n",
    "    \"Bachelor's Degree\",\n",
    "    \"Master's Degree\",\n",
    ")\n",
    "color = [\"red\", \"green\", \"blue\", \"cyan\", \"orange\", \"grey\"]\n",
    "\n",
    "plt.pie(size, colors=color, labels=labels, autopct=\".%2f%%\")\n",
    "plt.title(\"Parental Education\", fontsize=20)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.grid()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e2d686a",
   "metadata": {},
   "source": [
    "#####  Insights\n",
    "- Number of Male and Female students is almost equal\n",
    "- Number students are greatest in Group C\n",
    "- Number of students who have standard lunch are greater\n",
    "- Number of students who have not enrolled in any test preparation course is greater\n",
    "- Number of students whose parental education is \"Some College\" is greater followed closely by \"Associate's Degree\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab008237",
   "metadata": {},
   "source": [
    "#### 4.4 Feature Wise Visualization\n",
    "#### 4.4.1 GENDER COLUMN\n",
    "- How is distribution of Gender ?\n",
    "- Is gender has any impact on student's performance ?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1a2c8f5",
   "metadata": {},
   "source": [
    "#### UNIVARIATE ANALYSIS ( How is distribution of Gender ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "c435f53b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f, ax = plt.subplots(1, 2, figsize=(20, 10))\n",
    "sns.countplot(x=df[\"gender\"], data=df, palette=\"bright\", ax=ax[0], saturation=0.95)\n",
    "for container in ax[0].containers:\n",
    "    ax[0].bar_label(container, color=\"black\", size=20)\n",
    "\n",
    "plt.pie(\n",
    "    x=df[\"gender\"].value_counts(),\n",
    "    labels=[\"Male\", \"Female\"],\n",
    "    explode=[0, 0.1],\n",
    "    autopct=\"%1.1f%%\",\n",
    "    shadow=True,\n",
    "    colors=[\"#ff4d4d\", \"#ff8000\"],\n",
    ")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfb8c9b2",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Gender has balanced data with female students are 518 (48%) and male students are 482 (52%) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e440a3a5",
   "metadata": {},
   "source": [
    "#### BIVARIATE ANALYSIS ( Is gender has any impact on student's performance ? ) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "526d49f9",
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Could not convert group Bgroup Cgroup Bgroup Bgroup Bgroup Bgroup Bgroup Agroup Cgroup Bgroup Cgroup Bgroup Cgroup Cgroup Dgroup Dgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Bgroup Egroup Agroup Cgroup Dgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Cgroup Cgroup Dgroup Agroup Dgroup Egroup Bgroup Cgroup Cgroup Dgroup Agroup Dgroup Cgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Dgroup Bgroup Bgroup Dgroup Dgroup Egroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Dgroup Cgroup Egroup Cgroup Dgroup Bgroup Cgroup Egroup Bgroup Egroup Egroup Cgroup Bgroup Bgroup Cgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Cgroup Egroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Bgroup Bgroup Bgroup Cgroup Egroup Cgroup Dgroup Cgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Dgroup Bgroup Egroup Cgroup Bgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Dgroup Egroup Dgroup Dgroup Cgroup Egroup Cgroup Dgroup Dgroup Bgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Bgroup Cgroup Cgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Bgroup Dgroup Cgroup Bgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Cgroup Dgroup Agroup Dgroup Cgroup Dgroup Dgroup Dgroup Dgroup Agroup Bgroup Egroup Agroup Egroup Egroup Cgroup Dgroup Dgroup Cgroup Bgroup Cgroup Cgroup Agroup Dgroup Cgroup Cgroup Bgroup Dgroup Dgroup Cgroup Cgroup Dgroup Dgroup Agroup Cgroup Cgroup Agroup Cgroup Dgroup Agroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Egroup Egroup Cgroup Cgroup Dgroup Agroup Cgroup Cgroup Cgroup Dgroup Bgroup Dgroup Dgroup Dgroup Bgroup Cgroup Agroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Dgroup Bgroup Egroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Egroup Dgroup Bgroup Cgroup Cgroup Dgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Dgroup Agroup Cgroup Bgroup Cgroup Cgroup Bgroup Dgroup Cgroup Dgroup Egroup Dgroup Cgroup Cgroup Egroup Bgroup Bgroup Dgroup Dgroup Egroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Agroup Egroup Cgroup Cgroup Dgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Egroup Bgroup Cgroup Cgroup Agroup Cgroup Egroup Cgroup Egroup Cgroup Bgroup Cgroup Bgroup Dgroup Dgroup Dgroup Bgroup Egroup Bgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Bgroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Dgroup Bgroup Egroup Cgroup Dgroup Cgroup Egroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Cgroup Agroup Dgroup Egroup Bgroup Dgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Cgroup Cgroup Cgroup Bgroup Egroup Dgroup Bgroup Cgroup Egroup Bgroup Agroup Cgroup Cgroup Cgroup Cgroup Egroup Dgroup Cgroup Dgroup Bgroup Bgroup Cgroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Agroup Dgroup Bgroup Bgroup Cgroup Bgroup Egroup Bgroup Cgroup Bgroup Dgroup Bgroup Egroup Egroup Cgroup Egroup Bgroup Cgroup Dgroup Egroup Cgroup Cgroup Agroup Bgroup Cgroup Agroup Dgroup Bgroup Cgroup Cgroup Cgroup Dgroup Agroup Cgroup Bgroup Cgroup Agroup Cgroup Dgroup Bgroup Dgroup Cgroup Agroup Egroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Cgroup Dgroup Dgroup Egroup Bgroup Egroup Cgroup Egroup Dgroup Egroup Egroup Agroup Egroup Egroup Bgroup Dgroup Cgroup Agroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Bgroup Egroup Cgroup Cgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Bgroup Cgroup Dgroup Egroup Dgroup Egroup Cgroup Dgroup Dgroup Agroup Dgroup Egroup Cgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Agroup Dgroup Bgroup Dgroup Dgroup Egroup Cgroup Dgroup D to numeric",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNotImplementedError\u001b[0m                       Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1490\u001b[0m, in \u001b[0;36mGroupBy._cython_agg_general.<locals>.array_func\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   1489\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1490\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrouper\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cython_operation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1491\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43maggregate\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1492\u001b[0m \u001b[43m        \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1493\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhow\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1494\u001b[0m \u001b[43m        \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mndim\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1495\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmin_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmin_count\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1496\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1497\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m:\n\u001b[1;32m   1499\u001b[0m     \u001b[38;5;66;03m# generally if we have numeric_only=False\u001b[39;00m\n\u001b[1;32m   1500\u001b[0m     \u001b[38;5;66;03m# and non-applicable functions\u001b[39;00m\n\u001b[1;32m   1501\u001b[0m     \u001b[38;5;66;03m# try to python agg\u001b[39;00m\n\u001b[1;32m   1502\u001b[0m     \u001b[38;5;66;03m# TODO: shouldn't min_count matter?\u001b[39;00m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:959\u001b[0m, in \u001b[0;36mBaseGrouper._cython_operation\u001b[0;34m(self, kind, values, how, axis, min_count, **kwargs)\u001b[0m\n\u001b[1;32m    958\u001b[0m ngroups \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mngroups\n\u001b[0;32m--> 959\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcy_op\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcython_operation\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    960\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    961\u001b[0m \u001b[43m    \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    962\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmin_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmin_count\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    963\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcomp_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    964\u001b[0m \u001b[43m    \u001b[49m\u001b[43mngroups\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mngroups\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    965\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    966\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:657\u001b[0m, in \u001b[0;36mWrappedCythonOp.cython_operation\u001b[0;34m(self, values, axis, min_count, comp_ids, ngroups, **kwargs)\u001b[0m\n\u001b[1;32m    649\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_ea_wrap_cython_operation(\n\u001b[1;32m    650\u001b[0m         values,\n\u001b[1;32m    651\u001b[0m         min_count\u001b[38;5;241m=\u001b[39mmin_count,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    654\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m    655\u001b[0m     )\n\u001b[0;32m--> 657\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cython_op_ndim_compat\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    658\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    659\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmin_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmin_count\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    660\u001b[0m \u001b[43m    \u001b[49m\u001b[43mngroups\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mngroups\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    661\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcomp_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcomp_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    662\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mNone\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[1;32m    663\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    664\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:497\u001b[0m, in \u001b[0;36mWrappedCythonOp._cython_op_ndim_compat\u001b[0;34m(self, values, min_count, ngroups, comp_ids, mask, result_mask, **kwargs)\u001b[0m\n\u001b[1;32m    495\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m res\u001b[38;5;241m.\u001b[39mT\n\u001b[0;32m--> 497\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_call_cython_op\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    498\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    499\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmin_count\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmin_count\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    500\u001b[0m \u001b[43m    \u001b[49m\u001b[43mngroups\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mngroups\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    501\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcomp_ids\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcomp_ids\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    502\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    503\u001b[0m \u001b[43m    \u001b[49m\u001b[43mresult_mask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mresult_mask\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    504\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    505\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:541\u001b[0m, in \u001b[0;36mWrappedCythonOp._call_cython_op\u001b[0;34m(self, values, min_count, ngroups, comp_ids, mask, result_mask, **kwargs)\u001b[0m\n\u001b[1;32m    540\u001b[0m out_shape \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_output_shape(ngroups, values)\n\u001b[0;32m--> 541\u001b[0m func \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_cython_function\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkind\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdtype\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mis_numeric\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    542\u001b[0m values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_cython_vals(values)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:173\u001b[0m, in \u001b[0;36mWrappedCythonOp._get_cython_function\u001b[0;34m(cls, kind, how, dtype, is_numeric)\u001b[0m\n\u001b[1;32m    171\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mobject\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m f\u001b[38;5;241m.\u001b[39m__signatures__:\n\u001b[1;32m    172\u001b[0m     \u001b[38;5;66;03m# raise NotImplementedError here rather than TypeError later\u001b[39;00m\n\u001b[0;32m--> 173\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\n\u001b[1;32m    174\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfunction is not implemented for this dtype: \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    175\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m[how->\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mhow\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m,dtype->\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdtype_str\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m]\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    176\u001b[0m     )\n\u001b[1;32m    177\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m f\n",
      "\u001b[0;31mNotImplementedError\u001b[0m: function is not implemented for this dtype: [how->mean,dtype->object]",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:1692\u001b[0m, in \u001b[0;36m_ensure_numeric\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m   1691\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1692\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mfloat\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1693\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m (\u001b[38;5;167;01mTypeError\u001b[39;00m, \u001b[38;5;167;01mValueError\u001b[39;00m):\n\u001b[1;32m   1694\u001b[0m     \u001b[38;5;66;03m# e.g. \"1+1j\" or \"foo\"\u001b[39;00m\n",
      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'group Bgroup Cgroup Bgroup Bgroup Bgroup Bgroup Bgroup Agroup Cgroup Bgroup Cgroup Bgroup Cgroup Cgroup Dgroup Dgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Bgroup Egroup Agroup Cgroup Dgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Cgroup Cgroup Dgroup Agroup Dgroup Egroup Bgroup Cgroup Cgroup Dgroup Agroup Dgroup Cgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Dgroup Bgroup Bgroup Dgroup Dgroup Egroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Dgroup Cgroup Egroup Cgroup Dgroup Bgroup Cgroup Egroup Bgroup Egroup Egroup Cgroup Bgroup Bgroup Cgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Cgroup Egroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Bgroup Bgroup Bgroup Cgroup Egroup Cgroup Dgroup Cgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Dgroup Bgroup Egroup Cgroup Bgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Dgroup Egroup Dgroup Dgroup Cgroup Egroup Cgroup Dgroup Dgroup Bgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Bgroup Cgroup Cgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Bgroup Dgroup Cgroup Bgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Cgroup Dgroup Agroup Dgroup Cgroup Dgroup Dgroup Dgroup Dgroup Agroup Bgroup Egroup Agroup Egroup Egroup Cgroup Dgroup Dgroup Cgroup Bgroup Cgroup Cgroup Agroup Dgroup Cgroup Cgroup Bgroup Dgroup Dgroup Cgroup Cgroup Dgroup Dgroup Agroup Cgroup Cgroup Agroup Cgroup Dgroup Agroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Egroup Egroup Cgroup Cgroup Dgroup Agroup Cgroup Cgroup Cgroup Dgroup Bgroup Dgroup Dgroup Dgroup Bgroup Cgroup Agroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Dgroup Bgroup Egroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Egroup Dgroup Bgroup Cgroup Cgroup Dgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Dgroup Agroup Cgroup Bgroup Cgroup Cgroup Bgroup Dgroup Cgroup Dgroup Egroup Dgroup Cgroup Cgroup Egroup Bgroup Bgroup Dgroup Dgroup Egroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Agroup Egroup Cgroup Cgroup Dgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Egroup Bgroup Cgroup Cgroup Agroup Cgroup Egroup Cgroup Egroup Cgroup Bgroup Cgroup Bgroup Dgroup Dgroup Dgroup Bgroup Egroup Bgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Bgroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Dgroup Bgroup Egroup Cgroup Dgroup Cgroup Egroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Cgroup Agroup Dgroup Egroup Bgroup Dgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Cgroup Cgroup Cgroup Bgroup Egroup Dgroup Bgroup Cgroup Egroup Bgroup Agroup Cgroup Cgroup Cgroup Cgroup Egroup Dgroup Cgroup Dgroup Bgroup Bgroup Cgroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Agroup Dgroup Bgroup Bgroup Cgroup Bgroup Egroup Bgroup Cgroup Bgroup Dgroup Bgroup Egroup Egroup Cgroup Egroup Bgroup Cgroup Dgroup Egroup Cgroup Cgroup Agroup Bgroup Cgroup Agroup Dgroup Bgroup Cgroup Cgroup Cgroup Dgroup Agroup Cgroup Bgroup Cgroup Agroup Cgroup Dgroup Bgroup Dgroup Cgroup Agroup Egroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Cgroup Dgroup Dgroup Egroup Bgroup Egroup Cgroup Egroup Dgroup Egroup Egroup Agroup Egroup Egroup Bgroup Dgroup Cgroup Agroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Bgroup Egroup Cgroup Cgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Bgroup Cgroup Dgroup Egroup Dgroup Egroup Cgroup Dgroup Dgroup Agroup Dgroup Egroup Cgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Agroup Dgroup Bgroup Dgroup Dgroup Egroup Cgroup Dgroup D'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:1696\u001b[0m, in \u001b[0;36m_ensure_numeric\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m   1695\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1696\u001b[0m     x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mcomplex\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1697\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m   1698\u001b[0m     \u001b[38;5;66;03m# e.g. \"foo\"\u001b[39;00m\n",
      "\u001b[0;31mValueError\u001b[0m: complex() arg is a malformed string",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[36], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m gender_group \u001b[38;5;241m=\u001b[39m \u001b[43mdf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgroupby\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mgender\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m gender_group\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1855\u001b[0m, in \u001b[0;36mGroupBy.mean\u001b[0;34m(self, numeric_only, engine, engine_kwargs)\u001b[0m\n\u001b[1;32m   1853\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_numba_agg_general(sliding_mean, engine_kwargs)\n\u001b[1;32m   1854\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1855\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cython_agg_general\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m   1856\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmean\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1857\u001b[0m \u001b[43m        \u001b[49m\u001b[43malt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mlambda\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mSeries\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnumeric_only\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1858\u001b[0m \u001b[43m        \u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnumeric_only\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1859\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1860\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgroupby\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1507\u001b[0m, in \u001b[0;36mGroupBy._cython_agg_general\u001b[0;34m(self, how, alt, numeric_only, min_count, **kwargs)\u001b[0m\n\u001b[1;32m   1503\u001b[0m         result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_agg_py_fallback(values, ndim\u001b[38;5;241m=\u001b[39mdata\u001b[38;5;241m.\u001b[39mndim, alt\u001b[38;5;241m=\u001b[39malt)\n\u001b[1;32m   1505\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\n\u001b[0;32m-> 1507\u001b[0m new_mgr \u001b[38;5;241m=\u001b[39m \u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrouped_reduce\u001b[49m\u001b[43m(\u001b[49m\u001b[43marray_func\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1508\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wrap_agged_manager(new_mgr)\n\u001b[1;32m   1509\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_wrap_aggregated_output(res)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/internals/managers.py:1503\u001b[0m, in \u001b[0;36mBlockManager.grouped_reduce\u001b[0;34m(self, func)\u001b[0m\n\u001b[1;32m   1499\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m blk\u001b[38;5;241m.\u001b[39mis_object:\n\u001b[1;32m   1500\u001b[0m     \u001b[38;5;66;03m# split on object-dtype blocks bc some columns may raise\u001b[39;00m\n\u001b[1;32m   1501\u001b[0m     \u001b[38;5;66;03m#  while others do not.\u001b[39;00m\n\u001b[1;32m   1502\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m sb \u001b[38;5;129;01min\u001b[39;00m blk\u001b[38;5;241m.\u001b[39m_split():\n\u001b[0;32m-> 1503\u001b[0m         applied \u001b[38;5;241m=\u001b[39m \u001b[43msb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mapply\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1504\u001b[0m         result_blocks \u001b[38;5;241m=\u001b[39m extend_blocks(applied, result_blocks)\n\u001b[1;32m   1505\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/internals/blocks.py:329\u001b[0m, in \u001b[0;36mBlock.apply\u001b[0;34m(self, func, **kwargs)\u001b[0m\n\u001b[1;32m    323\u001b[0m \u001b[38;5;129m@final\u001b[39m\n\u001b[1;32m    324\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mapply\u001b[39m(\u001b[38;5;28mself\u001b[39m, func, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mlist\u001b[39m[Block]:\n\u001b[1;32m    325\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    326\u001b[0m \u001b[38;5;124;03m    apply the function to my values; return a block if we are not\u001b[39;00m\n\u001b[1;32m    327\u001b[0m \u001b[38;5;124;03m    one\u001b[39;00m\n\u001b[1;32m    328\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 329\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    331\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_split_op_result(result)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1503\u001b[0m, in \u001b[0;36mGroupBy._cython_agg_general.<locals>.array_func\u001b[0;34m(values)\u001b[0m\n\u001b[1;32m   1490\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgrouper\u001b[38;5;241m.\u001b[39m_cython_operation(\n\u001b[1;32m   1491\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maggregate\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m   1492\u001b[0m         values,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m   1496\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m   1497\u001b[0m     )\n\u001b[1;32m   1498\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m:\n\u001b[1;32m   1499\u001b[0m     \u001b[38;5;66;03m# generally if we have numeric_only=False\u001b[39;00m\n\u001b[1;32m   1500\u001b[0m     \u001b[38;5;66;03m# and non-applicable functions\u001b[39;00m\n\u001b[1;32m   1501\u001b[0m     \u001b[38;5;66;03m# try to python agg\u001b[39;00m\n\u001b[1;32m   1502\u001b[0m     \u001b[38;5;66;03m# TODO: shouldn't min_count matter?\u001b[39;00m\n\u001b[0;32m-> 1503\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_agg_py_fallback\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mndim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mndim\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43malt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43malt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1505\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1457\u001b[0m, in \u001b[0;36mGroupBy._agg_py_fallback\u001b[0;34m(self, values, ndim, alt)\u001b[0m\n\u001b[1;32m   1452\u001b[0m     ser \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39miloc[:, \u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m   1454\u001b[0m \u001b[38;5;66;03m# We do not get here with UDFs, so we know that our dtype\u001b[39;00m\n\u001b[1;32m   1455\u001b[0m \u001b[38;5;66;03m#  should always be preserved by the implemented aggregations\u001b[39;00m\n\u001b[1;32m   1456\u001b[0m \u001b[38;5;66;03m# TODO: Is this exactly right; see WrappedCythonOp get_result_dtype?\u001b[39;00m\n\u001b[0;32m-> 1457\u001b[0m res_values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgrouper\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43magg_series\u001b[49m\u001b[43m(\u001b[49m\u001b[43mser\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43malt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpreserve_dtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m   1459\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(values, Categorical):\n\u001b[1;32m   1460\u001b[0m     \u001b[38;5;66;03m# Because we only get here with known dtype-preserving\u001b[39;00m\n\u001b[1;32m   1461\u001b[0m     \u001b[38;5;66;03m#  reductions, we cast back to Categorical.\u001b[39;00m\n\u001b[1;32m   1462\u001b[0m     \u001b[38;5;66;03m# TODO: if we ever get \"rank\" working, exclude it here.\u001b[39;00m\n\u001b[1;32m   1463\u001b[0m     res_values \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mtype\u001b[39m(values)\u001b[38;5;241m.\u001b[39m_from_sequence(res_values, dtype\u001b[38;5;241m=\u001b[39mvalues\u001b[38;5;241m.\u001b[39mdtype)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:994\u001b[0m, in \u001b[0;36mBaseGrouper.agg_series\u001b[0;34m(self, obj, func, preserve_dtype)\u001b[0m\n\u001b[1;32m    987\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(obj) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj\u001b[38;5;241m.\u001b[39m_values, np\u001b[38;5;241m.\u001b[39mndarray):\n\u001b[1;32m    988\u001b[0m     \u001b[38;5;66;03m# we can preserve a little bit more aggressively with EA dtype\u001b[39;00m\n\u001b[1;32m    989\u001b[0m     \u001b[38;5;66;03m#  because maybe_cast_pointwise_result will do a try/except\u001b[39;00m\n\u001b[1;32m    990\u001b[0m     \u001b[38;5;66;03m#  with _from_sequence.  NB we are assuming here that _from_sequence\u001b[39;00m\n\u001b[1;32m    991\u001b[0m     \u001b[38;5;66;03m#  is sufficiently strict that it casts appropriately.\u001b[39;00m\n\u001b[1;32m    992\u001b[0m     preserve_dtype \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[0;32m--> 994\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_aggregate_series_pure_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    996\u001b[0m npvalues \u001b[38;5;241m=\u001b[39m lib\u001b[38;5;241m.\u001b[39mmaybe_convert_objects(result, try_float\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m    997\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m preserve_dtype:\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/ops.py:1015\u001b[0m, in \u001b[0;36mBaseGrouper._aggregate_series_pure_python\u001b[0;34m(self, obj, func)\u001b[0m\n\u001b[1;32m   1012\u001b[0m splitter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_splitter(obj, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m)\n\u001b[1;32m   1014\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i, group \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(splitter):\n\u001b[0;32m-> 1015\u001b[0m     res \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgroup\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1016\u001b[0m     res \u001b[38;5;241m=\u001b[39m libreduction\u001b[38;5;241m.\u001b[39mextract_result(res)\n\u001b[1;32m   1018\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m initialized:\n\u001b[1;32m   1019\u001b[0m         \u001b[38;5;66;03m# We only do this validation on the first iteration\u001b[39;00m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py:1857\u001b[0m, in \u001b[0;36mGroupBy.mean.<locals>.<lambda>\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m   1853\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_numba_agg_general(sliding_mean, engine_kwargs)\n\u001b[1;32m   1854\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m   1855\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cython_agg_general(\n\u001b[1;32m   1856\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmean\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m-> 1857\u001b[0m         alt\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x: \u001b[43mSeries\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnumeric_only\u001b[49m\u001b[43m)\u001b[49m,\n\u001b[1;32m   1858\u001b[0m         numeric_only\u001b[38;5;241m=\u001b[39mnumeric_only,\n\u001b[1;32m   1859\u001b[0m     )\n\u001b[1;32m   1860\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m result\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mobj, method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgroupby\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/generic.py:11556\u001b[0m, in \u001b[0;36mNDFrame._add_numeric_operations.<locals>.mean\u001b[0;34m(self, axis, skipna, numeric_only, **kwargs)\u001b[0m\n\u001b[1;32m  11539\u001b[0m \u001b[38;5;129m@doc\u001b[39m(\n\u001b[1;32m  11540\u001b[0m     _num_doc,\n\u001b[1;32m  11541\u001b[0m     desc\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mReturn the mean of the values over the requested axis.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m  11554\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m  11555\u001b[0m ):\n\u001b[0;32m> 11556\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mNDFrame\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmean\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/generic.py:11201\u001b[0m, in \u001b[0;36mNDFrame.mean\u001b[0;34m(self, axis, skipna, numeric_only, **kwargs)\u001b[0m\n\u001b[1;32m  11194\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mmean\u001b[39m(\n\u001b[1;32m  11195\u001b[0m     \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m  11196\u001b[0m     axis: Axis \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m,\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m  11199\u001b[0m     \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m  11200\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Series \u001b[38;5;241m|\u001b[39m \u001b[38;5;28mfloat\u001b[39m:\n\u001b[0;32m> 11201\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_stat_function\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m  11202\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmean\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnanops\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnanmean\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m  11203\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/generic.py:11158\u001b[0m, in \u001b[0;36mNDFrame._stat_function\u001b[0;34m(self, name, func, axis, skipna, numeric_only, **kwargs)\u001b[0m\n\u001b[1;32m  11154\u001b[0m     nv\u001b[38;5;241m.\u001b[39mvalidate_stat_func((), kwargs, fname\u001b[38;5;241m=\u001b[39mname)\n\u001b[1;32m  11156\u001b[0m validate_bool_kwarg(skipna, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mskipna\u001b[39m\u001b[38;5;124m\"\u001b[39m, none_allowed\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m> 11158\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_reduce\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m  11159\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mnumeric_only\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mnumeric_only\u001b[49m\n\u001b[1;32m  11160\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/series.py:4670\u001b[0m, in \u001b[0;36mSeries._reduce\u001b[0;34m(self, op, name, axis, skipna, numeric_only, filter_type, **kwds)\u001b[0m\n\u001b[1;32m   4665\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\n\u001b[1;32m   4666\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSeries.\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m does not allow \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkwd_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnumeric_only\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   4667\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwith non-numeric dtypes.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m   4668\u001b[0m     )\n\u001b[1;32m   4669\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m-> 4670\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mop\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdelegate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:96\u001b[0m, in \u001b[0;36mdisallow.__call__.<locals>._f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     94\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m     95\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(invalid\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m---> 96\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     97\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m     98\u001b[0m     \u001b[38;5;66;03m# we want to transform an object array\u001b[39;00m\n\u001b[1;32m     99\u001b[0m     \u001b[38;5;66;03m# ValueError message to the more typical TypeError\u001b[39;00m\n\u001b[1;32m    100\u001b[0m     \u001b[38;5;66;03m# e.g. this is normally a disallowed function on\u001b[39;00m\n\u001b[1;32m    101\u001b[0m     \u001b[38;5;66;03m# object arrays that contain strings\u001b[39;00m\n\u001b[1;32m    102\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m is_object_dtype(args[\u001b[38;5;241m0\u001b[39m]):\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:158\u001b[0m, in \u001b[0;36mbottleneck_switch.__call__.<locals>.f\u001b[0;34m(values, axis, skipna, **kwds)\u001b[0m\n\u001b[1;32m    156\u001b[0m         result \u001b[38;5;241m=\u001b[39m alt(values, axis\u001b[38;5;241m=\u001b[39maxis, skipna\u001b[38;5;241m=\u001b[39mskipna, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n\u001b[1;32m    157\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 158\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43malt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    160\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:421\u001b[0m, in \u001b[0;36m_datetimelike_compat.<locals>.new_func\u001b[0;34m(values, axis, skipna, mask, **kwargs)\u001b[0m\n\u001b[1;32m    418\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m datetimelike \u001b[38;5;129;01mand\u001b[39;00m mask \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    419\u001b[0m     mask \u001b[38;5;241m=\u001b[39m isna(values)\n\u001b[0;32m--> 421\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maxis\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskipna\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipna\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmask\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    423\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m datetimelike:\n\u001b[1;32m    424\u001b[0m     result \u001b[38;5;241m=\u001b[39m _wrap_results(result, orig_values\u001b[38;5;241m.\u001b[39mdtype, fill_value\u001b[38;5;241m=\u001b[39miNaT)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:727\u001b[0m, in \u001b[0;36mnanmean\u001b[0;34m(values, axis, skipna, mask)\u001b[0m\n\u001b[1;32m    724\u001b[0m     dtype_count \u001b[38;5;241m=\u001b[39m dtype\n\u001b[1;32m    726\u001b[0m count \u001b[38;5;241m=\u001b[39m _get_counts(values\u001b[38;5;241m.\u001b[39mshape, mask, axis, dtype\u001b[38;5;241m=\u001b[39mdtype_count)\n\u001b[0;32m--> 727\u001b[0m the_sum \u001b[38;5;241m=\u001b[39m \u001b[43m_ensure_numeric\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvalues\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msum\u001b[49m\u001b[43m(\u001b[49m\u001b[43maxis\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdtype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdtype_sum\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    729\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m axis \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(the_sum, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mndim\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m):\n\u001b[1;32m    730\u001b[0m     count \u001b[38;5;241m=\u001b[39m cast(np\u001b[38;5;241m.\u001b[39mndarray, count)\n",
      "File \u001b[0;32m~/Projects/machine-learning-project/venv/lib/python3.8/site-packages/pandas/core/nanops.py:1699\u001b[0m, in \u001b[0;36m_ensure_numeric\u001b[0;34m(x)\u001b[0m\n\u001b[1;32m   1696\u001b[0m             x \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mcomplex\u001b[39m(x)\n\u001b[1;32m   1697\u001b[0m         \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n\u001b[1;32m   1698\u001b[0m             \u001b[38;5;66;03m# e.g. \"foo\"\u001b[39;00m\n\u001b[0;32m-> 1699\u001b[0m             \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCould not convert \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mx\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m to numeric\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m   1700\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m x\n",
      "\u001b[0;31mTypeError\u001b[0m: Could not convert group Bgroup Cgroup Bgroup Bgroup Bgroup Bgroup Bgroup Agroup Cgroup Bgroup Cgroup Bgroup Cgroup Cgroup Dgroup Dgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Bgroup Egroup Agroup Cgroup Dgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Cgroup Cgroup Dgroup Agroup Dgroup Egroup Bgroup Cgroup Cgroup Dgroup Agroup Dgroup Cgroup Bgroup Egroup Dgroup Dgroup Dgroup Cgroup Dgroup Bgroup Bgroup Dgroup Dgroup Egroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Dgroup Cgroup Egroup Cgroup Dgroup Bgroup Cgroup Egroup Bgroup Egroup Egroup Cgroup Bgroup Bgroup Cgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Cgroup Egroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Bgroup Bgroup Bgroup Cgroup Egroup Cgroup Dgroup Cgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Dgroup Bgroup Egroup Cgroup Bgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Dgroup Egroup Dgroup Dgroup Cgroup Egroup Cgroup Dgroup Dgroup Bgroup Bgroup Egroup Cgroup Cgroup Bgroup Dgroup Bgroup Cgroup Cgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Cgroup Cgroup Bgroup Cgroup Bgroup Bgroup Dgroup Cgroup Bgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Cgroup Dgroup Agroup Dgroup Cgroup Dgroup Dgroup Dgroup Dgroup Agroup Bgroup Egroup Agroup Egroup Egroup Cgroup Dgroup Dgroup Cgroup Bgroup Cgroup Cgroup Agroup Dgroup Cgroup Cgroup Bgroup Dgroup Dgroup Cgroup Cgroup Dgroup Dgroup Agroup Cgroup Cgroup Agroup Cgroup Dgroup Agroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Dgroup Egroup Egroup Cgroup Cgroup Dgroup Agroup Cgroup Cgroup Cgroup Dgroup Bgroup Dgroup Dgroup Dgroup Bgroup Cgroup Agroup Cgroup Cgroup Cgroup Bgroup Cgroup Dgroup Bgroup Dgroup Bgroup Egroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Dgroup Egroup Dgroup Bgroup Cgroup Cgroup Dgroup Cgroup Cgroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Dgroup Agroup Cgroup Bgroup Cgroup Cgroup Bgroup Dgroup Cgroup Dgroup Egroup Dgroup Cgroup Cgroup Egroup Bgroup Bgroup Dgroup Dgroup Egroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Agroup Egroup Cgroup Cgroup Dgroup Dgroup Dgroup Cgroup Egroup Cgroup Cgroup Egroup Bgroup Cgroup Cgroup Agroup Cgroup Egroup Cgroup Egroup Cgroup Bgroup Cgroup Bgroup Dgroup Dgroup Dgroup Bgroup Egroup Bgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Bgroup Bgroup Dgroup Dgroup Cgroup Cgroup Cgroup Bgroup Cgroup Cgroup Cgroup Dgroup Bgroup Egroup Cgroup Dgroup Cgroup Egroup Cgroup Egroup Cgroup Dgroup Cgroup Dgroup Cgroup Agroup Dgroup Egroup Bgroup Dgroup Bgroup Dgroup Egroup Dgroup Bgroup Bgroup Cgroup Cgroup Cgroup Bgroup Egroup Dgroup Bgroup Cgroup Egroup Bgroup Agroup Cgroup Cgroup Cgroup Cgroup Egroup Dgroup Cgroup Dgroup Bgroup Bgroup Cgroup Dgroup Bgroup Cgroup Bgroup Bgroup Cgroup Agroup Dgroup Bgroup Bgroup Cgroup Bgroup Egroup Bgroup Cgroup Bgroup Dgroup Bgroup Egroup Egroup Cgroup Egroup Bgroup Cgroup Dgroup Egroup Cgroup Cgroup Agroup Bgroup Cgroup Agroup Dgroup Bgroup Cgroup Cgroup Cgroup Dgroup Agroup Cgroup Bgroup Cgroup Agroup Cgroup Dgroup Bgroup Dgroup Cgroup Agroup Egroup Bgroup Cgroup Cgroup Egroup Cgroup Cgroup Cgroup Dgroup Dgroup Egroup Bgroup Egroup Cgroup Egroup Dgroup Egroup Egroup Agroup Egroup Egroup Bgroup Dgroup Cgroup Agroup Dgroup Dgroup Dgroup Cgroup Agroup Cgroup Cgroup Bgroup Egroup Cgroup Cgroup Cgroup Bgroup Dgroup Cgroup Egroup Dgroup Bgroup Cgroup Dgroup Egroup Dgroup Egroup Cgroup Dgroup Dgroup Agroup Dgroup Egroup Cgroup Dgroup Egroup Bgroup Dgroup Agroup Dgroup Agroup Cgroup Cgroup Bgroup Agroup Cgroup Cgroup Agroup Dgroup Bgroup Dgroup Dgroup Egroup Cgroup Dgroup D to numeric"
     ]
    }
   ],
   "source": [
    "gender_group = df.groupby(\"gender\").mean()\n",
    "gender_group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "b704f144",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'gender_group' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[37], line 6\u001b[0m\n\u001b[1;32m      1\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m10\u001b[39m, \u001b[38;5;241m8\u001b[39m))\n\u001b[1;32m      3\u001b[0m X \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal Average\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMath Average\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n\u001b[0;32m----> 6\u001b[0m female_scores \u001b[38;5;241m=\u001b[39m [\u001b[43mgender_group\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maverage\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m], gender_group[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmath_score\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m]]\n\u001b[1;32m      7\u001b[0m male_scores \u001b[38;5;241m=\u001b[39m [gender_group[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maverage\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m1\u001b[39m], gender_group[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmath_score\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m1\u001b[39m]]\n\u001b[1;32m      9\u001b[0m X_axis \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;28mlen\u001b[39m(X))\n",
      "\u001b[0;31mNameError\u001b[0m: name 'gender_group' is not defined"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 8))\n",
    "\n",
    "X = [\"Total Average\", \"Math Average\"]\n",
    "\n",
    "\n",
    "female_scores = [gender_group[\"average\"][0], gender_group[\"math_score\"][0]]\n",
    "male_scores = [gender_group[\"average\"][1], gender_group[\"math_score\"][1]]\n",
    "\n",
    "X_axis = np.arange(len(X))\n",
    "\n",
    "plt.bar(X_axis - 0.2, male_scores, 0.4, label=\"Male\")\n",
    "plt.bar(X_axis + 0.2, female_scores, 0.4, label=\"Female\")\n",
    "\n",
    "plt.xticks(X_axis, X)\n",
    "plt.ylabel(\"Marks\")\n",
    "plt.title(\"Total average v/s Math average marks of both the genders\", fontweight=\"bold\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72fbab62",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- On an average females have a better overall score than men.\n",
    "- whereas males have scored higher in Maths."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a903c5c",
   "metadata": {},
   "source": [
    "#### 4.4.2 RACE/EHNICITY COLUMN\n",
    "- How is Group wise distribution ?\n",
    "- Is Race/Ehnicity has any impact on student's performance ?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69fe557f",
   "metadata": {},
   "source": [
    "#### UNIVARIATE ANALYSIS ( How is Group wise distribution ?)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acbc5c8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "f,ax=plt.subplots(1,2,figsize=(20,10))\n",
    "sns.countplot(x=df['race/ethnicity'],data=df,palette = 'bright',ax=ax[0],saturation=0.95)\n",
    "for container in ax[0].containers:\n",
    "    ax[0].bar_label(container,color='black',size=20)\n",
    "    \n",
    "plt.pie(x = df['race/ethnicity'].value_counts(),labels=df['race/ethnicity'].value_counts().index,explode=[0.1,0,0,0,0],autopct='%1.1f%%',shadow=True)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1762646a",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Most of the student belonging from group C /group D.\n",
    "- Lowest number of students belong to groupA."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d3a3719",
   "metadata": {},
   "source": [
    "#### BIVARIATE ANALYSIS ( Is Race/Ehnicity has any impact on student's performance ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "db261c61",
   "metadata": {},
   "outputs": [],
   "source": [
    "Group_data2=df.groupby('race/ethnicity')\n",
    "f,ax=plt.subplots(1,3,figsize=(20,8))\n",
    "sns.barplot(x=Group_data2['math score'].mean().index,y=Group_data2['math score'].mean().values,palette = 'mako',ax=ax[0])\n",
    "ax[0].set_title('Math score',color='#005ce6',size=20)\n",
    "\n",
    "for container in ax[0].containers:\n",
    "    ax[0].bar_label(container,color='black',size=15)\n",
    "\n",
    "sns.barplot(x=Group_data2['reading score'].mean().index,y=Group_data2['reading score'].mean().values,palette = 'flare',ax=ax[1])\n",
    "ax[1].set_title('Reading score',color='#005ce6',size=20)\n",
    "\n",
    "for container in ax[1].containers:\n",
    "    ax[1].bar_label(container,color='black',size=15)\n",
    "\n",
    "sns.barplot(x=Group_data2['writing score'].mean().index,y=Group_data2['writing score'].mean().values,palette = 'coolwarm',ax=ax[2])\n",
    "ax[2].set_title('Writing score',color='#005ce6',size=20)\n",
    "\n",
    "for container in ax[2].containers:\n",
    "    ax[2].bar_label(container,color='black',size=15)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e292ddd",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Group E students have scored the highest marks. \n",
    "- Group A students have scored the lowest marks. \n",
    "- Students from a lower Socioeconomic status have a lower avg in all course subjects"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1409042e",
   "metadata": {},
   "source": [
    "#### 4.4.3 PARENTAL LEVEL OF EDUCATION COLUMN\n",
    "- What is educational background of student's parent ?\n",
    "- Is parental education has any impact on student's performance ?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "38aca4fc",
   "metadata": {},
   "source": [
    "#### UNIVARIATE ANALYSIS ( What is educational background of student's parent ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c05ab987",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (15, 9)\n",
    "plt.style.use('fivethirtyeight')\n",
    "sns.countplot(df['parental level of education'], palette = 'Blues')\n",
    "plt.title('Comparison of Parental Education', fontweight = 30, fontsize = 20)\n",
    "plt.xlabel('Degree')\n",
    "plt.ylabel('count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d351e1d",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Largest number of parents are from some college."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f38ab41",
   "metadata": {},
   "source": [
    "#### BIVARIATE ANALYSIS ( Is parental education has any impact on student's performance ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "122b2581",
   "metadata": {},
   "outputs": [],
   "source": [
    "df.groupby('parental level of education').agg('mean').plot(kind='barh',figsize=(10,10))\n",
    "plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58b3999d",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- The score of student whose parents possess master and bachelor level education are higher than others."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "079f4f29",
   "metadata": {},
   "source": [
    "#### 4.4.4 LUNCH COLUMN \n",
    "- Which type of lunch is most common amoung students ?\n",
    "- What is the effect of lunch type on test results?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8584c755",
   "metadata": {},
   "source": [
    "#### UNIVARIATE ANALYSIS ( Which type of lunch is most common amoung students ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a3a277e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams['figure.figsize'] = (15, 9)\n",
    "plt.style.use('seaborn-talk')\n",
    "sns.countplot(df['lunch'], palette = 'PuBu')\n",
    "plt.title('Comparison of different types of lunch', fontweight = 30, fontsize = 20)\n",
    "plt.xlabel('types of lunch')\n",
    "plt.ylabel('count')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "332b0c50",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Students being served Standard lunch was more than free lunch"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d75db26f",
   "metadata": {},
   "source": [
    "#### BIVARIATE ANALYSIS (  Is lunch type intake has any impact on student's performance ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "666babd5",
   "metadata": {},
   "outputs": [],
   "source": [
    "f,ax=plt.subplots(1,2,figsize=(20,8))\n",
    "sns.countplot(x=df['parental level of education'],data=df,palette = 'bright',hue='test preparation course',saturation=0.95,ax=ax[0])\n",
    "ax[0].set_title('Students vs test preparation course ',color='black',size=25)\n",
    "for container in ax[0].containers:\n",
    "    ax[0].bar_label(container,color='black',size=20)\n",
    "    \n",
    "sns.countplot(x=df['parental level of education'],data=df,palette = 'bright',hue='lunch',saturation=0.95,ax=ax[1])\n",
    "for container in ax[1].containers:\n",
    "    ax[1].bar_label(container,color='black',size=20)   "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0677b04c",
   "metadata": {},
   "source": [
    "#### Insights \n",
    "- Students who get Standard Lunch tend to perform better than students who got free/reduced lunch"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edd0ec29",
   "metadata": {},
   "source": [
    "#### 4.4.5 TEST PREPARATION COURSE COLUMN \n",
    "- Which type of lunch is most common amoung students ?\n",
    "- Is Test prepration course has any impact on student's performance ?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf8f65bd",
   "metadata": {},
   "source": [
    "#### BIVARIATE ANALYSIS ( Is Test prepration course has any impact on student's performance ? )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1b08ed26",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.subplot(2,2,1)\n",
    "sns.barplot (x=df['lunch'], y=df['math score'], hue=df['test preparation course'])\n",
    "plt.subplot(2,2,2)\n",
    "sns.barplot (x=df['lunch'], y=df['reading score'], hue=df['test preparation course'])\n",
    "plt.subplot(2,2,3)\n",
    "sns.barplot (x=df['lunch'], y=df['writing score'], hue=df['test preparation course'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bab116e",
   "metadata": {},
   "source": [
    "#### Insights  \n",
    "- Students who have completed the Test Prepration Course have scores higher in all three categories than those who haven't taken the course"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4069d6e6",
   "metadata": {},
   "source": [
    "#### 4.4.6 CHECKING OUTLIERS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "62a813a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.subplots(1,4,figsize=(16,5))\n",
    "plt.subplot(141)\n",
    "sns.boxplot(df['math score'],color='skyblue')\n",
    "plt.subplot(142)\n",
    "sns.boxplot(df['reading score'],color='hotpink')\n",
    "plt.subplot(143)\n",
    "sns.boxplot(df['writing score'],color='yellow')\n",
    "plt.subplot(144)\n",
    "sns.boxplot(df['average'],color='lightgreen')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "957e8bef",
   "metadata": {},
   "source": [
    "#### 4.4.7 MUTIVARIATE ANALYSIS USING PAIRPLOT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f09f746c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.pairplot(df,hue = 'gender')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7991322",
   "metadata": {},
   "source": [
    "#### Insights\n",
    "- From the above plot it is clear that all the scores increase linearly with each other."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7e20716",
   "metadata": {},
   "source": [
    "### 5. Conclusions\n",
    "- Student's Performance is related with lunch, race, parental level education\n",
    "- Females lead in pass percentage and also are top-scorers\n",
    "- Student's Performance is not much related with test preparation course\n",
    "- Finishing preparation course is benefitial."
   ]
  }
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