Main_Does_Engagement_at_Work_Prevent_Burnout.ipynb

{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e5cea273",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import necessery packages\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "import seaborn as sns\n",
    "import scikit_posthocs as sp\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "import pingouin as pg\n",
    "import plotly.express as px"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2e9db62b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=pd.read_excel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9dbb1edd",
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=dataset.rename(columns={'UWES                     suma zaangażowania':'UWES_Suma','BAT                           suma wypalenia':'BAT_Suma'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "16e14ec8",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Grupa</th>\n",
       "      <th>płeć</th>\n",
       "      <th>wiek</th>\n",
       "      <th>miejsce zamieszkania</th>\n",
       "      <th>wykształcenie</th>\n",
       "      <th>staż pracy</th>\n",
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       "      <th>zaległy urlop</th>\n",
       "      <th>Wigor</th>\n",
       "      <th>Poświęcenie</th>\n",
       "      <th>...</th>\n",
       "      <th>UWES_Suma</th>\n",
       "      <th>UWES wynik</th>\n",
       "      <th>wyczerpanie</th>\n",
       "      <th>zdystansowanie psychiczne</th>\n",
       "      <th>funkcjonowanie poznawcze</th>\n",
       "      <th>funkcjonowanie emocjonalne</th>\n",
       "      <th>objawy psychologiczne</th>\n",
       "      <th>objawy psychosomatyczne</th>\n",
       "      <th>BAT_Suma</th>\n",
       "      <th>BAT wynik</th>\n",
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       "      <td>wieś</td>\n",
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       "      <td>95</td>\n",
       "      <td>2.878788</td>\n",
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       "      <th>2</th>\n",
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       "      <td>miasto</td>\n",
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       "      <td>6</td>\n",
       "      <td>tak</td>\n",
       "      <td>0</td>\n",
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       "      <td>27</td>\n",
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       "     Grupa  płeć  wiek miejsce zamieszkania wykształcenie  staż pracy rodzina  \\\n",
       "101      1     1     3                 wieś       średnie           6     tak   \n",
       "2        2     1     4               miasto       średnie           6     tak   \n",
       "\n",
       "     zaległy urlop  Wigor  Poświęcenie  ...  UWES_Suma  UWES wynik  \\\n",
       "101              4     16           10  ...         40    2.352941   \n",
       "2                0     31           27  ...         81    4.764706   \n",
       "\n",
       "     wyczerpanie  zdystansowanie psychiczne  funkcjonowanie poznawcze  \\\n",
       "101           28                         15                        10   \n",
       "2             15                          6                         5   \n",
       "\n",
       "     funkcjonowanie emocjonalne  objawy psychologiczne  \\\n",
       "101                          10                     14   \n",
       "2                             5                      8   \n",
       "\n",
       "     objawy psychosomatyczne  BAT_Suma  BAT wynik  \n",
       "101                       18        95   2.878788  \n",
       "2                          6        45   1.363636  \n",
       "\n",
       "[2 rows x 21 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check dataset sample\n",
    "\n",
    "dataset.sample(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0eab9efc",
   "metadata": {},
   "outputs": [
    {
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       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
       "      <td>30</td>\n",
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       "      <td>30</td>\n",
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      ],
      "text/plain": [
       "       płeć  wiek  miejsce zamieszkania  wykształcenie  staż pracy  rodzina  \\\n",
       "Grupa                                                                         \n",
       "1        30    30                    30             30          30       30   \n",
       "2        30    30                    30             30          30       30   \n",
       "3        30    30                    30             30          30       30   \n",
       "4        30    30                    30             30          30       30   \n",
       "\n",
       "       zaległy urlop  Wigor  Poświęcenie  Absorbcja  UWES_Suma  UWES wynik  \\\n",
       "Grupa                                                                        \n",
       "1                 30     30           30         30         30          30   \n",
       "2                 30     30           30         30         30          30   \n",
       "3                 30     30           30         30         30          30   \n",
       "4                 30     30           30         30         30          30   \n",
       "\n",
       "       wyczerpanie  zdystansowanie psychiczne  funkcjonowanie poznawcze  \\\n",
       "Grupa                                                                     \n",
       "1               30                         30                        30   \n",
       "2               30                         30                        30   \n",
       "3               30                         30                        30   \n",
       "4               30                         30                        30   \n",
       "\n",
       "       funkcjonowanie emocjonalne  objawy psychologiczne  \\\n",
       "Grupa                                                      \n",
       "1                              30                     30   \n",
       "2                              30                     30   \n",
       "3                              30                     30   \n",
       "4                              30                     30   \n",
       "\n",
       "       objawy psychosomatyczne  BAT_Suma  BAT wynik  \n",
       "Grupa                                                \n",
       "1                           30        30         30  \n",
       "2                           30        30         30  \n",
       "3                           30        30         30  \n",
       "4                           30        30         30  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check number of samples for each group\n",
    "\n",
    "dataset.groupby('Grupa').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "aed457c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Select important collumns\n",
    "\n",
    "dataset=dataset[['Grupa','UWES_Suma','BAT_Suma','zaległy urlop','staż pracy','płeć']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "dbfdcffe",
   "metadata": {},
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check if outliers are detected\n",
    "\n",
    "fig = px.box(dataset, x=\"Grupa\", y=\"zaległy urlop\")\n",
    "fig.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "b711d438",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig2 = px.box(dataset,x=\"Grupa\", y=\"UWES_Suma\")\n",
    "fig2.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "103dd5f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig3 = px.box(dataset,x=\"Grupa\", y=\"BAT_Suma\")\n",
    "fig3.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "fb26db4f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove outliers\n",
    "\n",
    "outliers=dataset.query('UWES_Suma == 45 | UWES_Suma ==40 | UWES_Suma == 31')\n",
    "dataset_updated=dataset.drop(outliers.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "4ebbaa40",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig4 = px.box(dataset_updated,x=\"Grupa\", y=\"UWES_Suma\")\n",
    "fig4.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7a7dd64d",
   "metadata": {},
   "outputs": [],
   "source": [
    "outliers2=dataset.query('UWES_Suma == 54 | UWES_Suma ==94')\n",
    "dataset_updated=dataset_updated.drop(outliers2.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2ff5d822",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig5 = px.box(dataset_updated,x=\"Grupa\", y=\"UWES_Suma\")\n",
    "fig5.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "13b48f0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0020440833177417517"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check if the distribution is normal using Shapiro-Wilk test\n",
    "\n",
    "sns.histplot(data=dataset_updated, x=\"UWES_Suma\")\n",
    "shapiro_test = stats.shapiro(dataset_updated['UWES_Suma'])\n",
    "shapiro_test.pvalue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "0e8cd79d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P_value of S-W test for this column equals:0.028651410713791847\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=dataset_updated, x=\"BAT_Suma\")\n",
    "shapiro_test = stats.shapiro(dataset_updated['BAT_Suma'])\n",
    "print('P_value of S-W test for this column equals:' + str(shapiro_test.pvalue))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "70604fc9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "P_value of S-W test for this column equals:7.2847554655197655e-09\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(data=dataset_updated, x=\"zaległy urlop\")\n",
    "shapiro_test = stats.shapiro(dataset_updated['zaległy urlop'])\n",
    "print('P_value of S-W test for this column equals:' + str(shapiro_test.pvalue))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fba22fe1",
   "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 tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">UWES_Suma</th>\n",
       "      <th colspan=\"2\" halign=\"left\">BAT_Suma</th>\n",
       "      <th colspan=\"2\" halign=\"left\">zaległy urlop</th>\n",
       "      <th colspan=\"2\" halign=\"left\">staż pracy</th>\n",
       "      <th colspan=\"2\" halign=\"left\">płeć</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "      <th>mean</th>\n",
       "      <th>sum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Grupa</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>68.333333</td>\n",
       "      <td>2050</td>\n",
       "      <td>66.666667</td>\n",
       "      <td>2000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>126</td>\n",
       "      <td>3.6</td>\n",
       "      <td>108</td>\n",
       "      <td>1.033333</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>69.866667</td>\n",
       "      <td>2096</td>\n",
       "      <td>75.800000</td>\n",
       "      <td>2274</td>\n",
       "      <td>5.966667</td>\n",
       "      <td>179</td>\n",
       "      <td>4.2</td>\n",
       "      <td>126</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>71.966667</td>\n",
       "      <td>2159</td>\n",
       "      <td>77.233333</td>\n",
       "      <td>2317</td>\n",
       "      <td>8.733333</td>\n",
       "      <td>262</td>\n",
       "      <td>3.1</td>\n",
       "      <td>93</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>68.133333</td>\n",
       "      <td>2044</td>\n",
       "      <td>82.733333</td>\n",
       "      <td>2482</td>\n",
       "      <td>17.733333</td>\n",
       "      <td>532</td>\n",
       "      <td>4.0</td>\n",
       "      <td>120</td>\n",
       "      <td>1.366667</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       UWES_Suma         BAT_Suma       zaległy urlop      staż pracy       \\\n",
       "            mean   sum       mean   sum          mean  sum       mean  sum   \n",
       "Grupa                                                                        \n",
       "1      68.333333  2050  66.666667  2000      4.200000  126        3.6  108   \n",
       "2      69.866667  2096  75.800000  2274      5.966667  179        4.2  126   \n",
       "3      71.966667  2159  77.233333  2317      8.733333  262        3.1   93   \n",
       "4      68.133333  2044  82.733333  2482     17.733333  532        4.0  120   \n",
       "\n",
       "           płeć      \n",
       "           mean sum  \n",
       "Grupa                \n",
       "1      1.033333  31  \n",
       "2      1.100000  33  \n",
       "3      1.500000  45  \n",
       "4      1.366667  41  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate simple statistics\n",
    "\n",
    "dataset.groupby(['Grupa']).agg(['mean', 'sum'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "33491136",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "K-W Test result for UWES is:17.743906439355026and p-value equals:*****0.8588250906304957*****\n",
      "K-W Test result for BAT is:17.743906439355026and p-value equals:*****0.0004967103175261765*****\n"
     ]
    }
   ],
   "source": [
    "# Compare four groups with non-gaussian distributions using Kruskall-Wallis Test\n",
    "\n",
    "KW_Test= stats.kruskal(dataset_updated.query('Grupa==1')['BAT_Suma'],dataset_updated.query('Grupa==2')['BAT_Suma'],dataset_updated.query('Grupa==3')['BAT_Suma'],dataset_updated.query('Grupa==4')['BAT_Suma'])\n",
    "KW_Test2= stats.kruskal(dataset_updated.query('Grupa==1')['UWES_Suma'],dataset_updated.query('Grupa==2')['UWES_Suma'],dataset_updated.query('Grupa==3')['UWES_Suma'],dataset_updated.query('Grupa==4')['UWES_Suma'])\n",
    "print('K-W Test result for UWES is:' + str(KW_Test[0]) + 'and p-value equals:' + 5*'*'+ str(KW_Test2[1])+ 5*'*')\n",
    "print('K-W Test result for BAT is:' + str(KW_Test[0]) + 'and p-value equals:' + 5*'*'+ str(KW_Test[1])+ 5*'*')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5d53af28",
   "metadata": {},
   "outputs": [],
   "source": [
    "g1=dataset.query('Grupa==1')['BAT_Suma'].values\n",
    "g2=dataset.query('Grupa==2')['BAT_Suma'].values\n",
    "g3=dataset.query('Grupa==3')['BAT_Suma'].values\n",
    "g4=dataset.query('Grupa==4')['BAT_Suma'].values\n",
    "groups=[g1,g2,g3,g4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "48d871d8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.252449</td>\n",
       "      <td>0.239242</td>\n",
       "      <td>0.006263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.252449</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.239242</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.006263</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          1         2         3         4\n",
       "1  1.000000  0.252449  0.239242  0.006263\n",
       "2  0.252449  1.000000  1.000000  1.000000\n",
       "3  0.239242  1.000000  1.000000  1.000000\n",
       "4  0.006263  1.000000  1.000000  1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate Post-Hoc Tests using Bonferroni correction  \n",
    "\n",
    "sp.posthoc_dunn(groups, p_adjust = 'bonferroni')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "61299cb3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate ranks\n",
    "\n",
    "rank_g1=pd.DataFrame(dataset_updated.query('Grupa==1')['BAT_Suma'].rank()).astype(int).reset_index()\n",
    "rank_g4=dataset_updated.query('Grupa==4')['BAT_Suma'].rank().astype(int).reset_index()\n",
    "rank_g1.set_index('index')\n",
    "del rank_g1['index']\n",
    "rank_g4.set_index('index')\n",
    "del rank_g4['index']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "86402a08",
   "metadata": {},
   "outputs": [],
   "source": [
    "rank_g1=rank_g1.rename(columns={'BAT_Suma':'BAT Suma Pracownicy fizyczni'})\n",
    "rank_g4=rank_g4.rename(columns={'BAT_Suma':'BAT Suma Kadra Medenżerska'})\n",
    "dataset_ranks=rank_g1.join(rank_g4)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "08923a1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot ranks from both groups with significant differences\n",
    "\n",
    "fig6 = px.box(dataset_ranks,y=dataset_ranks.columns,\n",
    "                 width=1000, height=600)\n",
    "fig6.update_layout(title_text='Rangi dla grupy Pracownik Fizyczny oraz Kadra Menedżerska', title_x=0.5)\n",
    "\n",
    "fig6.update_layout(\n",
    "    xaxis_title=\"Grupa\",\n",
    "    yaxis_title=\"Rangi\",\n",
    "    font=dict(\n",
    "        size=16,    )\n",
    ")\n",
    "\n",
    "fig6.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d339061e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig7 = px.bar(dataset_ranks, x= dataset_ranks.index,y=dataset_ranks.columns)\n",
    "fig7.update_layout(title_text='item_barcode_na_count  MA=7, normal, 1SD', title_x=0.5)\n",
    "fig7.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "90f97f64",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Prepare data for partial correlation analysis\n",
    "\n",
    "G1=dataset_updated.query('Grupa==1')[['UWES_Suma','BAT_Suma','zaległy urlop']]\n",
    "G2=dataset_updated.query('Grupa==2')[['UWES_Suma','BAT_Suma','zaległy urlop']]\n",
    "G3=dataset_updated.query('Grupa==3')[['UWES_Suma','BAT_Suma','zaległy urlop']]\n",
    "G4=dataset_updated.query('Grupa==4')[['UWES_Suma','BAT_Suma','zaległy urlop']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "db8ee64b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Partial Correlation for G1\n",
      "          n         r       CI95%     p-val\n",
      "pearson  23  0.576348  [0.2, 0.8]  0.004993\n",
      "Partial Correlation for G2\n",
      "          n         r          CI95%     p-val\n",
      "pearson  30 -0.225175  [-0.55, 0.15]  0.240227\n",
      "Partial Correlation for G3\n",
      "          n         r          CI95%     p-val\n",
      "pearson  29  0.207161  [-0.18, 0.54]  0.290173\n",
      "Partial Correlation for G4\n",
      "          n         r          CI95%     p-val\n",
      "pearson  30 -0.062154  [-0.42, 0.31]  0.748742\n"
     ]
    }
   ],
   "source": [
    "# Calculate partial correlation with number of overdue holiday days as a covariate  \n",
    "\n",
    "partial_corr=pg.partial_corr(G1, 'UWES_Suma', 'BAT_Suma', 'zaległy urlop',method='pearson')\n",
    "print(f'Partial Correlation for G1\\n'+str(partial_corr))\n",
    "partial_corr=pg.partial_corr(G2, 'UWES_Suma', 'BAT_Suma', 'zaległy urlop',method='pearson')\n",
    "print(f'Partial Correlation for G2\\n'+str(partial_corr))\n",
    "partial_corr=pg.partial_corr(G3, 'UWES_Suma', 'BAT_Suma', 'zaległy urlop',method='pearson')\n",
    "print(f'Partial Correlation for G3\\n'+str(partial_corr))\n",
    "partial_corr=pg.partial_corr(G4, 'UWES_Suma', 'BAT_Suma', 'zaległy urlop',method='pearson')\n",
    "print(f'Partial Correlation for G4\\n'+str(partial_corr))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e0e9d8f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig8 = px.scatter(dataset_updated, x=\"UWES_Suma\", y=\"BAT_Suma\", facet_row=\"Grupa\")\n",
    "fig8.show(\"png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3aa10193",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visulize the differences with Ordinary Least Squares regression trendline\n",
    "\n",
    "fig9 = px.scatter(dataset_updated.query('Grupa==1'), x=\"UWES_Suma\", y=\"BAT_Suma\",trendline=\"ols\", width=1000, height=600)\n",
    "fig9.show(\"png\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}