diff --git a/notebooks/Solutions/pingouin_scipy_TP_solutions.ipynb b/notebooks/Solutions/pingouin_scipy_TP_solutions.ipynb
index d819eb1747cd9bf2167fa294d48e68de60e8a4af..ca4d82aa3d3c845b452bc23cb9f7d55bae016163 100644
--- a/notebooks/Solutions/pingouin_scipy_TP_solutions.ipynb
+++ b/notebooks/Solutions/pingouin_scipy_TP_solutions.ipynb
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "529c5f56",
    "metadata": {
     "hidden": true
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "id": "eefc126c",
    "metadata": {
     "hidden": true
@@ -85,758 +85,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "id": "00130518",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
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-       "      <th></th>\n",
-       "      <th>Age</th>\n",
-       "      <th>OwnsHouse</th>\n",
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-       "      <th>BMI</th>\n",
-       "      <th>CMVPositiveSerology</th>\n",
-       "      <th>...</th>\n",
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-       "      <th>1</th>\n",
-       "      <td>22.33</td>\n",
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-       "      <td>3.0</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>No</td>\n",
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-       "      <td>Yes</td>\n",
-       "      <td>94.9627</td>\n",
-       "      <td>20.13</td>\n",
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-       "      <td>...</td>\n",
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-       "      <td>2</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>66</td>\n",
-       "      <td>36.8</td>\n",
-       "      <td>8.883</td>\n",
-       "      <td>40</td>\n",
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-       "      <th>2</th>\n",
-       "      <td>28.83</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>Yes</td>\n",
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-       "      <td>Yes</td>\n",
-       "      <td>79.1024</td>\n",
-       "      <td>21.33</td>\n",
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-       "      <td>Yes</td>\n",
-       "      <td>117.2540</td>\n",
-       "      <td>22.18</td>\n",
-       "      <td>No</td>\n",
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-       "      <td>0.0</td>\n",
-       "      <td>62</td>\n",
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-       "      <td>8.667</td>\n",
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-       "      <th>4</th>\n",
-       "      <td>21.17</td>\n",
-       "      <td>No</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>No</td>\n",
-       "      <td>94.1796</td>\n",
-       "      <td>18.68</td>\n",
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-       "      <td>9.883</td>\n",
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-       "      <td>26.17</td>\n",
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-       "     Age OwnsHouse  PhysicalActivity     Sex LivesWithPartner LivesWithKids  \\\n",
-       "1  22.33       Yes               3.0  Female               No            No   \n",
-       "2  28.83       Yes               0.0  Female              Yes            No   \n",
-       "3  23.67       Yes               0.0  Female              Yes            No   \n",
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-       "5  26.17       Yes               1.5  Female               No            No   \n",
-       "\n",
-       "  BornInCity  Inbreeding    BMI CMVPositiveSerology  ...  \\\n",
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-       "4         No     94.1796  18.68                  No  ...   \n",
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-       "\n",
-       "   VaccineWhoopingCough  VaccineYellowFever  VaccineHepB  VaccineFlu  SUBJID  \\\n",
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-       "2                   Yes                  No          Yes          No       3   \n",
-       "3                    No                  No          Yes          No       4   \n",
-       "4                    No                  No          Yes          No       5   \n",
-       "5                   Yes                  No          Yes          No       8   \n",
-       "\n",
-       "   DepressionScore  HeartRate Temperature HourOfSampling DayOfSampling  \n",
-       "1              0.0         66        36.8          8.883            40  \n",
-       "2              0.0         66        37.4          9.350            40  \n",
-       "3              0.0         62        36.9          8.667            40  \n",
-       "4              1.0         64        36.0          9.883            40  \n",
-       "5              0.0         67        36.7          8.550            81  \n",
-       "\n",
-       "[5 rows x 43 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "3097c601-7651-4e9a-afcf-e2c3d9b11fd7",
    "metadata": {},
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-       "      <td>21.770000</td>\n",
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-       "      <th>MetabolicScore</th>\n",
-       "      <td>816.0</td>\n",
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-       "      <td>1.000000</td>\n",
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-       "      <td>4.000000</td>\n",
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-       "      <th>LowAppetite</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>0.512255</td>\n",
-       "      <td>1.674008</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>14.000000</td>\n",
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-       "      <th>TroubleConcentrating</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>0.355392</td>\n",
-       "      <td>1.408535</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>14.000000</td>\n",
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-       "      <th>TroubleSleeping</th>\n",
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-       "      <td>0.000000</td>\n",
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-       "      <td>8.000000</td>\n",
-       "      <td>12.000000</td>\n",
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-       "      <th>Listless</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>1.290441</td>\n",
-       "      <td>2.055716</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>3.000000</td>\n",
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-       "      <th>SUBJID</th>\n",
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-       "      <th>DepressionScore</th>\n",
-       "      <td>816.0</td>\n",
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-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>14.000000</td>\n",
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-       "      <th>HeartRate</th>\n",
-       "      <td>816.0</td>\n",
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-       "      <td>37.000000</td>\n",
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-       "      <td>58.000000</td>\n",
-       "      <td>65.000000</td>\n",
-       "      <td>100.000000</td>\n",
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-       "      <th>Temperature</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>36.431985</td>\n",
-       "      <td>0.318461</td>\n",
-       "      <td>35.700000</td>\n",
-       "      <td>36.200000</td>\n",
-       "      <td>36.400000</td>\n",
-       "      <td>36.600000</td>\n",
-       "      <td>37.700000</td>\n",
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-       "      <th>HourOfSampling</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>9.214806</td>\n",
-       "      <td>0.378376</td>\n",
-       "      <td>8.433000</td>\n",
-       "      <td>8.917000</td>\n",
-       "      <td>9.233000</td>\n",
-       "      <td>9.550000</td>\n",
-       "      <td>11.217000</td>\n",
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-       "    <tr>\n",
-       "      <th>DayOfSampling</th>\n",
-       "      <td>816.0</td>\n",
-       "      <td>185.485294</td>\n",
-       "      <td>84.971737</td>\n",
-       "      <td>17.000000</td>\n",
-       "      <td>136.000000</td>\n",
-       "      <td>187.000000</td>\n",
-       "      <td>263.000000</td>\n",
-       "      <td>335.000000</td>\n",
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-      "text/plain": [
-       "                      count        mean         std        min         25%  \\\n",
-       "Age                   816.0   46.485711   13.854402  20.170000   35.830000   \n",
-       "PhysicalActivity      816.0    2.751804    3.565008   0.000000    0.500000   \n",
-       "Inbreeding            816.0   91.904255   12.936172  43.727000   84.077225   \n",
-       "BMI                   816.0   24.208958    3.181184  18.500000   21.770000   \n",
-       "FluIgG                816.0    0.203601    0.232411  -0.430491    0.065082   \n",
-       "MetabolicScore        816.0    0.932598    0.893942   0.000000    0.000000   \n",
-       "LowAppetite           816.0    0.512255    1.674008   0.000000    0.000000   \n",
-       "TroubleConcentrating  816.0    0.355392    1.408535   0.000000    0.000000   \n",
-       "TroubleSleeping       816.0    1.119771    0.931400   0.000000    0.000000   \n",
-       "HoursOfSleep          816.0    7.499246    1.017186   3.000000    7.000000   \n",
-       "Listless              816.0    1.290441    2.055716   0.000000    0.000000   \n",
-       "SUBJID                816.0  576.877451  518.489935   2.000000  300.750000   \n",
-       "DepressionScore       816.0    0.544526    1.333918   0.000000    0.000000   \n",
-       "HeartRate             816.0   59.209559    9.206104  37.000000   54.000000   \n",
-       "Temperature           816.0   36.431985    0.318461  35.700000   36.200000   \n",
-       "HourOfSampling        816.0    9.214806    0.378376   8.433000    8.917000   \n",
-       "DayOfSampling         816.0  185.485294   84.971737  17.000000  136.000000   \n",
-       "\n",
-       "                             50%         75%          max  \n",
-       "Age                    47.710000   58.352500    69.750000  \n",
-       "PhysicalActivity        2.000000    4.000000    49.000000  \n",
-       "Inbreeding             91.862800  100.008000   150.107000  \n",
-       "BMI                    23.850000   26.210000    32.000000  \n",
-       "FluIgG                  0.227855    0.363819     0.769841  \n",
-       "MetabolicScore          1.000000    1.000000     4.000000  \n",
-       "LowAppetite             0.000000    0.000000    14.000000  \n",
-       "TroubleConcentrating    0.000000    0.000000    14.000000  \n",
-       "TroubleSleeping         1.000000    2.000000     3.000000  \n",
-       "HoursOfSleep            7.500000    8.000000    12.000000  \n",
-       "Listless                0.000000    3.000000    14.000000  \n",
-       "SUBJID                556.500000  779.250000  5701.000000  \n",
-       "DepressionScore         0.000000    1.000000    14.000000  \n",
-       "HeartRate              58.000000   65.000000   100.000000  \n",
-       "Temperature            36.400000   36.600000    37.700000  \n",
-       "HourOfSampling          9.233000    9.550000    11.217000  \n",
-       "DayOfSampling         187.000000  263.000000   335.000000  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.describe().T"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "8d45dd25",
    "metadata": {
     "hidden": true
    },
-   "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>count</th>\n",
-       "      <th>unique</th>\n",
-       "      <th>top</th>\n",
-       "      <th>freq</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>OwnsHouse</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>528</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Sex</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Female</td>\n",
-       "      <td>417</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>LivesWithPartner</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>501</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>LivesWithKids</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>458</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BornInCity</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>434</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>CMVPositiveSerology</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>527</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>UsesCannabis</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>769</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>RecentPersonalCrisis</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>580</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Smoking</th>\n",
-       "      <td>816</td>\n",
-       "      <td>3</td>\n",
-       "      <td>Never</td>\n",
-       "      <td>432</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Employed</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>421</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Education</th>\n",
-       "      <td>816</td>\n",
-       "      <td>5</td>\n",
-       "      <td>Vocational</td>\n",
-       "      <td>279</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>DustExposure</th>\n",
-       "      <td>816</td>\n",
-       "      <td>3</td>\n",
-       "      <td>No</td>\n",
-       "      <td>607</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Income</th>\n",
-       "      <td>816</td>\n",
-       "      <td>4</td>\n",
-       "      <td>(1000-2000]</td>\n",
-       "      <td>262</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadMeasles</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>504</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadRubella</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>740</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadChickenPox</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>Yes</td>\n",
-       "      <td>522</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadMumps</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>585</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadTonsillectomy</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>750</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>HadAppendicectomy</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>628</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineHepA</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>780</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineMMR</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>647</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineTyphoid</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>775</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineWhoopingCough</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>616</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineYellowFever</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>748</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineHepB</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>413</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>VaccineFlu</th>\n",
-       "      <td>816</td>\n",
-       "      <td>2</td>\n",
-       "      <td>No</td>\n",
-       "      <td>655</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                     count unique          top freq\n",
-       "OwnsHouse              816      2           No  528\n",
-       "Sex                    816      2       Female  417\n",
-       "LivesWithPartner       816      2          Yes  501\n",
-       "LivesWithKids          816      2           No  458\n",
-       "BornInCity             816      2          Yes  434\n",
-       "CMVPositiveSerology    816      2           No  527\n",
-       "UsesCannabis           816      2           No  769\n",
-       "RecentPersonalCrisis   816      2           No  580\n",
-       "Smoking                816      3        Never  432\n",
-       "Employed               816      2          Yes  421\n",
-       "Education              816      5   Vocational  279\n",
-       "DustExposure           816      3           No  607\n",
-       "Income                 816      4  (1000-2000]  262\n",
-       "HadMeasles             816      2           No  504\n",
-       "HadRubella             816      2           No  740\n",
-       "HadChickenPox          816      2          Yes  522\n",
-       "HadMumps               816      2           No  585\n",
-       "HadTonsillectomy       816      2           No  750\n",
-       "HadAppendicectomy      816      2           No  628\n",
-       "VaccineHepA            816      2           No  780\n",
-       "VaccineMMR             816      2           No  647\n",
-       "VaccineTyphoid         816      2           No  775\n",
-       "VaccineWhoopingCough   816      2           No  616\n",
-       "VaccineYellowFever     816      2           No  748\n",
-       "VaccineHepB            816      2           No  413\n",
-       "VaccineFlu             816      2           No  655"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df.describe(exclude='number').T"
    ]
@@ -865,23 +141,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "5de6412d",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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GDRp0yfZBgwapqKhI0vlXNl34DCYAAID20uqQiY6OVlZW1iXbs7KyFB0dLUn68ssvddNNN137dAAAAFfQ6lNLv/rVrzRu3Djl5eVp6NChkqT9+/fr8OHD2rhxoyRp3759evLJJ9t2UgAAgIu0OmS+//3vq6SkRG+//bY+++wzSVJKSopyc3N1+vRpSdKzzz7btlMCAABcxnd6Q7xevXpp4cKFks6/r8y6dev05JNPav/+/WpsbGzTAQEAAJrznd/oZceOHZo0aZKioqK0aNEiPfjgg9q9e3dbzgYAAHBFrVqRqays1OrVq5WVlaXa2lqNHz9eLpdLubm56t+/f3vNCAAAcFktXpEZNWqU+vXrpz/96U964403VFFRoSVLlrTnbAAAAFfU4hWZvLw8Pf/883r22Wd1++23t+dMAAAALdLiFZmdO3eqrq5OgwcP1rBhw7R06VL97W9/a8/ZAAAArqjFITN8+HCtWrVKJ06c0E9+8hOtX79eUVFRampq0rZt21RXV9eecwIAAFyi1a9a6tKli6ZMmaKdO3fq4MGDmjVrlhYuXKju3bvr+9//fnvMCAAAcFnf+eXXktSvXz/98pe/1PHjx7Vu3bq2mgkAAKBFrilkLvD399fo0aP1hz/8oS0OBwAA0CJtEjIAAABWIGQAAICxCBkAAGAsQgYAABiLkAEAAMYiZAAAgLEIGQAAYCxCBgAAGIuQAQAAxiJkAACAsQgZAABgLEIGAAAYK8DqAQDABK5GmyS31WPcsNxu6WzT+a8D/SSbzdp5bmTnHwu+g5ABgBaYtjPM6hEAXIbPnFpauHChbDabZsyY4dlWX1+vtLQ0hYeHKzg4WKmpqaqqqrJuSAAA4FN8YkVm3759WrlypQYOHOi1febMmdq8ebM2bNigkJAQTZs2TWPHjtWuXbssmhTAjcThcCgvL8/qMaDz/2M7ZswYSVJOTo4cDofFE0GST/wcLA+Z06dPa+LEiVq1apVeffVVz/aamhplZWVp7dq1GjlypCQpOztbcXFx2r17t4YPH27VyABuEDabTUFBQVaPgYs4HA5+LvCw/NRSWlqaHnvsMSUlJXltLy4uVkNDg9f22NhYxcTEqKioqNnjuVwu1dbWel0AAEDHZOmKzPr16/Xf//3f2rdv3yX7KisrFRgYqNDQUK/tERERqqysbPaYmZmZeuWVV9p6VAAA4IMsW5EpLy/Xz372M/32t79t03NsGRkZqqmp8VzKy8vb7NgAAMC3WBYyxcXFOnnypO6++24FBAQoICBAhYWFeuuttxQQEKCIiAidPXtW1dXVXt9XVVWlyMjIZo9rt9vldDq9LgAAoGOy7NTSQw89pIMHD3pt+9GPfqTY2Fi9+OKLio6OVqdOnZSfn6/U1FRJUklJicrKypSQkGDFyAAAwMdYFjJdu3bVHXfc4bWtS5cuCg8P92yfOnWq0tPTFRYWJqfTqenTpyshIYFXLAEAAEk+8PLrK1m8eLH8/PyUmpoql8ul5ORkLV++3OqxAACAj/CpkCkoKPC67nA4tGzZMi1btsyagQAAgE+z/H1kAAAAvitCBgAAGIuQAQAAxiJkAACAsQgZAABgLEIGAAAYy6defm0it9v9jyuNDdYNAviSbz0WvB4jANDGCJlr5HK5PF93/WS9hZMAvsnlcqlz585WjwGgg+LUEgAAMBYrMtfIbrd7vq678ynJv5OF0wA+orHBs0L57ccIALQ1QuYa2Wy2f1zx70TIABfxeowAQBvj1BIAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMZWnIrFixQgMHDpTT6ZTT6VRCQoLy8vI8++vr65WWlqbw8HAFBwcrNTVVVVVVFk4MAAB8iaUh06NHDy1cuFDFxcXav3+/Ro4cqR/84Af685//LEmaOXOm3n//fW3YsEGFhYWqqKjQ2LFjrRwZAAD4kAAr//FRo0Z5XX/ttde0YsUK7d69Wz169FBWVpbWrl2rkSNHSpKys7MVFxen3bt3a/jw4Zc9psvlksvl8lyvra1tvzsAAAAs5TPPkWlsbNT69et15swZJSQkqLi4WA0NDUpKSvLcJjY2VjExMSoqKmr2OJmZmQoJCfFcoqOjr8f4AADAApaHzMGDBxUcHCy73a6f/vSnysnJUf/+/VVZWanAwECFhoZ63T4iIkKVlZXNHi8jI0M1NTWeS3l5eTvfAwAAYBVLTy1JUr9+/XTgwAHV1NTovffe06RJk1RYWPidj2e322W329twQgAA4KssD5nAwED16dNHkjR48GDt27dPb775pp588kmdPXtW1dXVXqsyVVVVioyMtGhaAADgSyw/tXSxpqYmuVwuDR48WJ06dVJ+fr5nX0lJicrKypSQkGDhhAAAwFdYuiKTkZGhlJQUxcTEqK6uTmvXrlVBQYG2bt2qkJAQTZ06Venp6QoLC5PT6dT06dOVkJDQ7CuWAADAjcXSkDl58qSefvppnThxQiEhIRo4cKC2bt2qhx9+WJK0ePFi+fn5KTU1VS6XS8nJyVq+fLmVIwMAAB9iachkZWVdcb/D4dCyZcu0bNmy6zQRAAAwic89RwYAAKClCBkAAGAsQgYAABiLkAEAAMYiZAAAgLEIGQAAYCxCBgAAGIuQAQAAxiJkAACAsQgZAABgLEIGAAAYi5ABAADGImQAAICxCBkAAGAsQgYAABiLkAEAAMYiZAAAgLEIGQAAYCxCBgAAGIuQAQAAxiJkAACAsQgZAABgrACrB+hIbE3n5LZ6iBuZ2y01nTv/tV+AZLNZO88NzHbh5wAA7YyQaUPBB9ZZPQIAADcUTi0BAABjsSJzjRwOh/Ly8qweA5Lq6+s1ZswYSVJOTo4cDofFE0ESPwcA7YqQuUY2m01BQUFWj4GLOBwOfi4AcAPg1BIAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjEXIAAAAYxEyAADAWIQMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMFaAlf94ZmamNm3apCNHjigoKEj33nuvXn/9dfXr189zm/r6es2aNUvr16+Xy+VScnKyli9froiICAsnBwAzuN1u1dfXWz3GNfv2fegI90eSHA6HbDab1WMYz9KQKSwsVFpamoYOHapz587p5z//uR555BEdOnRIXbp0kSTNnDlTmzdv1oYNGxQSEqJp06Zp7Nix2rVrl5Wjdyj8ovNd/KLDtaqvr1dKSorVY7SpMWPGWD1Cm8jLy1NQUJDVYxjP5na73VYPccGpU6fUvXt3FRYW6r777lNNTY26deumtWvX6oknnpAkHTlyRHFxcSoqKtLw4cOvesza2lqFhISopqZGTqezve+Ckb755psO94uuo+AXHa4Vj2/fxeP7ylr699vSFZmL1dTUSJLCwsIkScXFxWpoaFBSUpLnNrGxsYqJiWk2ZFwul1wul+d6bW1tO08NAL7L4XAoLy/P6jGumdvt9vxut9vtHWKl0uFwWD1Ch+AzIdPU1KQZM2YoMTFRd9xxhySpsrJSgYGBCg0N9bptRESEKisrL3uczMxMvfLKK+09bofCLzrfxS86XCubzdZh/q+/c+fOVo8AH+QzIZOWlqZPP/1UO3fuvKbjZGRkKD093XO9trZW0dHR1zpeh8YvOgCAqXwiZKZNm6YPPvhAO3bsUI8ePTzbIyMjdfbsWVVXV3utylRVVSkyMvKyx7Lb7bLb7e09MgAA8AGWvo+M2+3WtGnTlJOTo//8z/9U7969vfYPHjxYnTp1Un5+vmdbSUmJysrKlJCQcL3HBQAAPsbSFZm0tDStXbtWv//979W1a1fP815CQkIUFBSkkJAQTZ06Venp6QoLC5PT6dT06dOVkJDQolcsAQCAjs3Sl18392TM7OxsTZ48WdI/3hBv3bp1Xm+I19yppYvx8msAAMzT0r/fPvU+Mu2BkAEAwDwt/fvNZy0BAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhAwAAjOUTHxrZni68319tba3FkwAAgJa68Hf7au/b2+FDpq6uTpIUHR1t8SQAAKC16urqFBIS0uz+Dv8RBU1NTaqoqFDXrl2b/WwndBy1tbWKjo5WeXk5H0kBdDA8vm8sbrdbdXV1ioqKkp9f88+E6fArMn5+furRo4fVY+A6czqd/KIDOige3zeOK63EXMCTfQEAgLEIGQAAYCxCBh2K3W7X3LlzZbfbrR4FQBvj8Y3L6fBP9gUAAB0XKzIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMjCC2+1WUlKSkpOTL9m3fPlyhYaG6vjx4xZMBqAtTZ48WTabTQsXLvTanpuby7uz47IIGRjBZrMpOztbe/bs0cqVKz3bjx07phdeeEFLlizhHZyBDsLhcOj111/X119/bfUoMAAhA2NER0frzTff1OzZs3Xs2DG53W5NnTpVjzzyiAYNGqSUlBQFBwcrIiJCP/zhD/W3v/3N873vvfee4uPjFRQUpPDwcCUlJenMmTMW3hsAzUlKSlJkZKQyMzObvc3GjRs1YMAA2e129erVS4sWLbqOE8KXEDIwyqRJk/TQQw9pypQpWrp0qT799FOtXLlSI0eO1KBBg7R//35t2bJFVVVVGj9+vCTpxIkTmjBhgqZMmaLDhw+roKBAY8eOvepHwwOwhr+/vxYsWKAlS5Zc9pRxcXGxxo8fr6eeekoHDx7UvHnz9Itf/EKrV6++/sPCcrwhHoxz8uRJDRgwQF999ZU2btyoTz/9VB999JG2bt3quc3x48cVHR2tkpISnT59WoMHD9Zf//pX9ezZ08LJAVzN5MmTVV1drdzcXCUkJKh///7KyspSbm6uxowZI7fbrYkTJ+rUqVP68MMPPd/3wgsvaPPmzfrzn/9s4fSwAisyME737t31k5/8RHFxcRo9erQ++eQT/dd//ZeCg4M9l9jYWEnS0aNHdeedd+qhhx5SfHy8xo0bp1WrVnHuHTDA66+/rjVr1ujw4cNe2w8fPqzExESvbYmJiSotLVVjY+P1HBE+gJCBkQICAhQQECBJOn36tEaNGqUDBw54XUpLS3XffffJ399f27ZtU15envr3768lS5aoX79+OnbsmMX3AsCV3HfffUpOTlZGRobVo8CHBVg9AHCt7r77bm3cuFG9evXyxM3FbDabEhMTlZiYqJdfflk9e/ZUTk6O0tPTr/O0AFpj4cKFuuuuu9SvXz/Ptri4OO3atcvrdrt27VLfvn3l7+9/vUeExViRgfHS0tL01VdfacKECdq3b5+OHj2qrVu36kc/+pEaGxu1Z88eLViwQPv371dZWZk2bdqkU6dOKS4uzurRAVxFfHy8Jk6cqLfeesuzbdasWcrPz9e//uu/6rPPPtOaNWu0dOlSzZ4928JJYRVCBsaLiorSrl271NjYqEceeUTx8fGaMWOGQkND5efnJ6fTqR07dujRRx9V3759NWfOHC1atEgpKSlWjw6gBebPn6+mpibP9bvvvlu/+93vtH79et1xxx16+eWXNX/+fE2ePNm6IWEZXrUEAACMxYoMAAAwFiEDAACMRcgAAABjETIAAMBYhAwAADAWIQMAAIxFyAAAAGMRMgAAwFiEDAAAMBYhA6BFysvLNWXKFEVFRSkwMFA9e/bUz372M3355ZeWzDNv3jzdddddl2z/61//KpvNpgMHDlz3mQBcf4QMgKv6/PPPNWTIEJWWlmrdunX6y1/+orffflv5+flKSEjQV199ZfWIAG5QhAyAq0pLS1NgYKA+/PBD3X///YqJiVFKSoq2b9+uL774Qi+99JKWLl2qO+64w/M9ubm5stlsevvttz3bkpKSNGfOHEn/WFH59a9/rV69eikkJERPPfWU6urqPLd/7733FB8fr6CgIIWHhyspKUlnzpxp9fyFhYW65557ZLfbdfPNN+tf/uVfdO7cOc/+Xr166Y033vD6nrvuukvz5s2TJLndbs2bN08xMTGy2+2KiorS888/77mty+XS7Nmzdcstt6hLly4aNmyYCgoKWj0ngNYjZABc0VdffaWtW7fqueeeU1BQkNe+yMhITZw4Ue+++67uv/9+HTp0SKdOnZJ0Ph7+6Z/+yfMHvaGhQUVFRXrggQc833/06FHl5ubqgw8+0AcffKDCwkItXLhQknTixAlNmDBBU6ZM0eHDh1VQUKCxY8eqtZ9z+8UXX+jRRx/V0KFD9cknn2jFihXKysrSq6++2uJjbNy4UYsXL9bKlStVWlqq3NxcxcfHe/ZPmzZNRUVFWr9+vf70pz9p3Lhx+ud//meVlpa2alYArRdg9QAAfFtpaancbrfi4uIuuz8uLk5ff/21unfvrrCwMBUWFuqJJ55QQUGBZs2apTfffFOStHfvXjU0NOjee+/1fG9TU5NWr16trl27SpJ++MMfKj8/X6+99ppOnDihc+fOaezYserZs6ckecWDJB08eFDBwcFe2y4OneXLlys6OlpLly6VzWZTbGysKioq9OKLL+rll1+Wn9/V/3+urKxMkZGRSkpKUqdOnRQTE6N77rnHsy87O1tlZWWKioqSJM2ePVtbtmxRdna2FixYcNXjA/juWJEB0CJXWwmx2Wy67777VFBQoOrqah06dEjPPfecXC6Xjhw5osLCQg0dOlSdO3f2fE+vXr08ESNJN998s06ePClJuvPOO/XQQw8pPj5e48aN06pVq/T11197/Zv9+vXTgQMHvC5//OMfvW5z+PBhJSQkyGazebYlJibq9OnTOn78eIvu+7hx4/TNN9/o1ltv1Y9//GPl5OR4Tk0dPHhQjY2N6tu3r4KDgz2XwsJCHT16tEXHB/DdsSID4Ir69Okjm82mw4cPa8yYMZfsP3z4sG666SZ169ZNDzzwgN555x199NFHGjRokJxOpyduCgsLdf/993t9b6dOnbyu22w2NTU1SZL8/f21bds2ffzxx/rwww+1ZMkSvfTSS9qzZ4969+4tSQoMDFSfPn28jhEQ0Ppfa35+fpeEWkNDg+fr6OholZSUaPv27dq2bZuee+45/du//ZsKCwt1+vRp+fv7q7i4WP7+/l7HuHi1CEDbY0UGwBWFh4fr4Ycf1vLly/XNN9947ausrNRvf/tbPfnkk7LZbJ7nyWzYsMHzXJgHHnhA27dv165du7yeH9MSNptNiYmJeuWVV/Q///M/CgwMVE5OTquOERcXp6KiIq9Q2bVrl7p27aoePXpIkrp166YTJ0549tfW1urYsWNexwkKCtKoUaP01ltvqaCgQEVFRTp48KAGDRqkxsZGnTx5Un369PG6REZGtmpWAK1HyAC4qqVLl8rlcik5OVk7duxQeXm5tmzZoocffli33HKLXnvtNUnSwIEDddNNN2nt2rVeIZObmyuXy6XExMQW/5t79uzRggULtH//fpWVlWnTpk06depUs8/Vac5zzz2n8vJyTZ8+XUeOHNHvf/97zZ07V+np6Z7nx4wcOVK//vWv9dFHH+ngwYOaNGmS1+rK6tWrlZWVpU8//VSff/65fvOb3ygoKEg9e/ZU3759NXHiRD399NPatGmTjh07pr179yozM1ObN29u1awAWo+QAXBVt99+u/bv369bb71V48eP12233aZnnnlGDz74oIqKihQWFibp/ArK9773PdlsNo0YMULS+bhxOp0aMmSIunTp0uJ/0+l0aseOHXr00UfVt29fzZkzR4sWLVJKSkqrZr/lllv0xz/+UXv37tWdd96pn/70p5o6darnZeCSlJGRofvvv1+PP/64HnvsMY0ePVq33XabZ39oaKhWrVqlxMREDRw4UNu3b9f777+v8PBwSVJ2draefvppzZo1S/369dPo0aO1b98+xcTEtGpWAK1nc7f2tYwAAAA+ghUZAABgLEIGAAAYi5ABAADGImQAAICxCBkAAGAsQgYAABiLkAEAAMYiZAAAgLEIGQAAYCxCBgAAGIuQAQAAxvo/3nhej2ufkLAAAAAASUVORK5CYII=",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# categorical vs continuous => boxplot, violinplot\n",
     "sns.boxplot(x='OwnsHouse', y='Age', data=df);"
@@ -889,23 +154,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "id": "ee08a262",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.boxplot(x='OwnsHouse', y='Age', data=df);\n",
     "sns.swarmplot(x='OwnsHouse', y='Age', hue='OwnsHouse', data=df, linewidth=1, size=3, legend=False);"
@@ -943,23 +197,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "06e98558",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "ax = sns.boxplot(x='OwnsHouse', y='Age', data=df, hue=\"LivesWithKids\")\n",
     "#sns.move_legend(ax, bbox_to_anchor=(1.02, 1), loc='upper left', borderaxespad=0);"
@@ -989,7 +232,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "55d18f16",
    "metadata": {
     "hidden": true
@@ -1003,7 +246,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "4f129b2a",
    "metadata": {
     "hidden": true
@@ -1017,23 +260,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "id": "9613dc45-cdac-4932-b646-d36965d2d4e6",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(37.56221005578753, 42.072095499768025)"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "distribution_of_the_mean.interval(.99)"
    ]
@@ -1054,7 +286,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "id": "1fca5a60",
    "metadata": {
     "hidden": true
@@ -1067,21 +299,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "id": "9f044f06",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "House owners: 39.82 ± 2.25 years old on average\n",
-      "Others: 50.12 ± 1.32 years old on average\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "for group_name, group_age in (\n",
     "    ('House owners', house_owners_age),\n",
@@ -1106,21 +329,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "b2909a2b-2a63-43ef-914d-4f3050d73589",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "df['logHeartRate'] = np.log(df['HeartRate'])\n",
     "sns.histplot(df, x='logHeartRate', hue='Sex');"
@@ -1146,42 +358,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "id": "a74cc81e-d3a1-4d48-a2da-31479af531d4",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.qqplot(df['HeartRate']);"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "fe198641-2797-4f86-87b0-017fa744f997",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.qqplot(df['logHeartRate']);"
    ]
@@ -1208,71 +398,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "id": "9e3b3b74-4cac-4a5a-b071-9b8e279d5d3d",
    "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>W</th>\n",
-       "      <th>pval</th>\n",
-       "      <th>normal</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Sex</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>Female</th>\n",
-       "      <td>4.903007</td>\n",
-       "      <td>0.086164</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Male</th>\n",
-       "      <td>2.431140</td>\n",
-       "      <td>0.296541</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               W      pval  normal\n",
-       "Sex                               \n",
-       "Female  4.903007  0.086164    True\n",
-       "Male    2.431140  0.296541    True"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.normality(df, dv='logHeartRate', group='Sex', method='normaltest')"
    ]
@@ -1289,23 +418,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "id": "ed0042b6",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "NormaltestResult(statistic=4.903007118532398, pvalue=0.0861639364704519)"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sex = df.groupby('Sex').groups\n",
     "logHeartRate_female = df.loc[sex['Female'], 'logHeartRate']\n",
@@ -1336,72 +454,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "id": "fd70b092-f188-430e-8587-964607e88221",
    "metadata": {
     "hidden": true
    },
-   "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>T</th>\n",
-       "      <th>dof</th>\n",
-       "      <th>alternative</th>\n",
-       "      <th>p-val</th>\n",
-       "      <th>CI95%</th>\n",
-       "      <th>cohen-d</th>\n",
-       "      <th>BF10</th>\n",
-       "      <th>power</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>T-test</th>\n",
-       "      <td>6.361645</td>\n",
-       "      <td>774.706846</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>3.411624e-10</td>\n",
-       "      <td>[0.05, 0.09]</td>\n",
-       "      <td>0.447305</td>\n",
-       "      <td>2.188e+07</td>\n",
-       "      <td>0.999995</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               T         dof alternative         p-val         CI95%  \\\n",
-       "T-test  6.361645  774.706846   two-sided  3.411624e-10  [0.05, 0.09]   \n",
-       "\n",
-       "         cohen-d       BF10     power  \n",
-       "T-test  0.447305  2.188e+07  0.999995  "
-      ]
-     },
-     "execution_count": 19,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# define your significance level first!\n",
     "significance_level = 0.05\n",
@@ -1426,23 +484,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "id": "a03c0966-4d77-427c-8371-0edae12fa097",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "TtestResult(statistic=6.361644660156658, pvalue=3.41162382079428e-10, df=774.7068455961578)"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "test_result = stats.ttest_ind(logHeartRate_female, logHeartRate_male, equal_var=False)\n",
     "test_result"
@@ -1450,23 +497,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "id": "472c03d6",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "True"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "test_result.pvalue <= significance_level"
    ]
@@ -1493,61 +529,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "id": "4721b937-35e1-4fd3-bf9e-fe5401874ef1",
    "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>U-val</th>\n",
-       "      <th>alternative</th>\n",
-       "      <th>p-val</th>\n",
-       "      <th>RBC</th>\n",
-       "      <th>CLES</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>MWU</th>\n",
-       "      <td>104106.5</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>5.006134e-10</td>\n",
-       "      <td>-0.251408</td>\n",
-       "      <td>0.625704</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        U-val alternative         p-val       RBC      CLES\n",
-       "MWU  104106.5   two-sided  5.006134e-10 -0.251408  0.625704"
-      ]
-     },
-     "execution_count": 22,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "HeartRate_female = df.loc[sex['Female'], 'HeartRate']\n",
     "HeartRate_male = df.loc[sex['Male'], 'HeartRate']\n",
@@ -1572,21 +557,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "id": "0aeaeee7",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "sns.boxplot(x='LivesWithKids', y='Age', data=df)\n",
     "sns.swarmplot(x='LivesWithKids', y='Age', hue='LivesWithKids', data=df, linewidth=1, size=3, legend=False);"
@@ -1619,7 +593,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "id": "db11c1ed-8ba0-4c66-bcf3-48c88ded986e",
    "metadata": {},
    "outputs": [],
@@ -1638,33 +612,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "id": "26044940-50cd-4561-b96a-a314165acb70",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1      20-25\n",
-       "2      25-30\n",
-       "3      20-25\n",
-       "4      20-25\n",
-       "5      25-30\n",
-       "       ...  \n",
-       "812    20-25\n",
-       "813    35-40\n",
-       "814    30-35\n",
-       "815    35-40\n",
-       "816    55-60\n",
-       "Name: BinnedAge, Length: 816, dtype: category\n",
-       "Categories (10, object): ['20-25' < '25-30' < '30-35' < '35-40' ... '50-55' < '55-60' < '60-65' < '65-70']"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "labels= [f\"{lower_bound}-{lower_bound + 5}\" for lower_bound in bins[:-1]]\n",
     "df['BinnedAge'] = pd.cut(df['Age'], bins=bins, labels=labels, right=False)\n",
@@ -1683,136 +634,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "id": "449991a4-4b3d-49e3-ae2a-698189a135c7",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/flaurent/Boxes/jammy-1/Projects/scientific_python/lib/python3.10/site-packages/pingouin/contingency.py:150: UserWarning: Low count on observed frequencies.\n",
-      "  warnings.warn(\"Low count on {} frequencies.\".format(name))\n"
-     ]
-    },
-    {
-     "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>test</th>\n",
-       "      <th>lambda</th>\n",
-       "      <th>chi2</th>\n",
-       "      <th>dof</th>\n",
-       "      <th>pval</th>\n",
-       "      <th>cramer</th>\n",
-       "      <th>power</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>pearson</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>228.006119</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>4.325974e-44</td>\n",
-       "      <td>0.528601</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>cressie-read</td>\n",
-       "      <td>0.666667</td>\n",
-       "      <td>233.852507</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>2.539239e-45</td>\n",
-       "      <td>0.535335</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>log-likelihood</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>257.380521</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>2.755341e-50</td>\n",
-       "      <td>0.561620</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>freeman-tukey</td>\n",
-       "      <td>-0.500000</td>\n",
-       "      <td>292.581567</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>9.767389e-58</td>\n",
-       "      <td>0.598795</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>mod-log-likelihood</td>\n",
-       "      <td>-1.000000</td>\n",
-       "      <td>358.659177</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>8.887881e-72</td>\n",
-       "      <td>0.662973</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>neyman</td>\n",
-       "      <td>-2.000000</td>\n",
-       "      <td>795.042049</td>\n",
-       "      <td>9.0</td>\n",
-       "      <td>2.481759e-165</td>\n",
-       "      <td>0.987075</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 test    lambda        chi2  dof           pval    cramer  \\\n",
-       "0             pearson  1.000000  228.006119  9.0   4.325974e-44  0.528601   \n",
-       "1        cressie-read  0.666667  233.852507  9.0   2.539239e-45  0.535335   \n",
-       "2      log-likelihood  0.000000  257.380521  9.0   2.755341e-50  0.561620   \n",
-       "3       freeman-tukey -0.500000  292.581567  9.0   9.767389e-58  0.598795   \n",
-       "4  mod-log-likelihood -1.000000  358.659177  9.0   8.887881e-72  0.662973   \n",
-       "5              neyman -2.000000  795.042049  9.0  2.481759e-165  0.987075   \n",
-       "\n",
-       "   power  \n",
-       "0    1.0  \n",
-       "1    1.0  \n",
-       "2    1.0  \n",
-       "3    1.0  \n",
-       "4    1.0  \n",
-       "5    1.0  "
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "_, frequencies, results = pg.chi2_independence(df, x='BinnedAge', y='LivesWithKids')\n",
     "results"
@@ -1828,115 +653,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "id": "7b49344f-2708-4f15-a25e-d0f60bc97b1c",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>LivesWithKids</th>\n",
-       "      <th>No</th>\n",
-       "      <th>Yes</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BinnedAge</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20-25</th>\n",
-       "      <td>75</td>\n",
-       "      <td>2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25-30</th>\n",
-       "      <td>32</td>\n",
-       "      <td>12</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-35</th>\n",
-       "      <td>26</td>\n",
-       "      <td>44</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35-40</th>\n",
-       "      <td>23</td>\n",
-       "      <td>67</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-45</th>\n",
-       "      <td>22</td>\n",
-       "      <td>65</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45-50</th>\n",
-       "      <td>30</td>\n",
-       "      <td>53</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50-55</th>\n",
-       "      <td>39</td>\n",
-       "      <td>57</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>55-60</th>\n",
-       "      <td>56</td>\n",
-       "      <td>34</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-65</th>\n",
-       "      <td>94</td>\n",
-       "      <td>16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>65-70</th>\n",
-       "      <td>61</td>\n",
-       "      <td>8</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "LivesWithKids  No  Yes\n",
-       "BinnedAge             \n",
-       "20-25          75    2\n",
-       "25-30          32   12\n",
-       "30-35          26   44\n",
-       "35-40          23   67\n",
-       "40-45          22   65\n",
-       "45-50          30   53\n",
-       "50-55          39   57\n",
-       "55-60          56   34\n",
-       "60-65          94   16\n",
-       "65-70          61    8"
-      ]
-     },
-     "execution_count": 27,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "frequencies"
    ]
@@ -1951,24 +671,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "id": "f57a8ff6",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([[ 2, 12, 44, 67, 65, 53, 57, 34, 16,  8],\n",
-       "       [75, 32, 26, 23, 22, 30, 39, 56, 94, 61]])"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "parents_age = df.loc[lives_with_kids['Yes'], 'Age']\n",
     "others_age = df.loc[lives_with_kids['No'], 'Age']\n",
@@ -1980,20 +688,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "id": "b021e03f",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "χ²(9) = 228.0, p-value = 4.33e-44\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "chi2, pvalue, dof, _ = stats.chi2_contingency(freqs)\n",
     "print(f'χ²({dof}) = {chi2:.1f}, p-value = {pvalue:.3g}')"
@@ -2025,87 +725,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "id": "3e64b5ce",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
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-       "\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>LivesWithKids</th>\n",
-       "      <th>No</th>\n",
-       "      <th>Yes</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>BinnedAge</th>\n",
-       "      <th></th>\n",
-       "      <th></th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20-30</th>\n",
-       "      <td>107</td>\n",
-       "      <td>14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-40</th>\n",
-       "      <td>49</td>\n",
-       "      <td>111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-50</th>\n",
-       "      <td>52</td>\n",
-       "      <td>118</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50-60</th>\n",
-       "      <td>95</td>\n",
-       "      <td>91</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-70</th>\n",
-       "      <td>155</td>\n",
-       "      <td>24</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "LivesWithKids   No  Yes\n",
-       "BinnedAge              \n",
-       "20-30          107   14\n",
-       "30-40           49  111\n",
-       "40-50           52  118\n",
-       "50-60           95   91\n",
-       "60-70          155   24"
-      ]
-     },
-     "execution_count": 30,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "bins = np.arange(20, 70+1, 10)\n",
     "labels= [f\"{lower_bound}-{lower_bound + 10}\" for lower_bound in bins[:-1]]\n",
@@ -2116,130 +741,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "id": "e79b98f2",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
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-       "\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>test</th>\n",
-       "      <th>lambda</th>\n",
-       "      <th>chi2</th>\n",
-       "      <th>dof</th>\n",
-       "      <th>pval</th>\n",
-       "      <th>cramer</th>\n",
-       "      <th>power</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>pearson</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>207.953598</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>7.320543e-44</td>\n",
-       "      <td>0.504822</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>cressie-read</td>\n",
-       "      <td>0.666667</td>\n",
-       "      <td>212.097886</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>9.399650e-45</td>\n",
-       "      <td>0.509827</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>log-likelihood</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>226.885551</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>6.180405e-48</td>\n",
-       "      <td>0.527301</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>freeman-tukey</td>\n",
-       "      <td>-0.500000</td>\n",
-       "      <td>245.353457</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>6.523214e-52</td>\n",
-       "      <td>0.548341</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>mod-log-likelihood</td>\n",
-       "      <td>-1.000000</td>\n",
-       "      <td>272.619752</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>8.691099e-58</td>\n",
-       "      <td>0.578008</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>neyman</td>\n",
-       "      <td>-2.000000</td>\n",
-       "      <td>369.592455</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>1.030517e-78</td>\n",
-       "      <td>0.673002</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 test    lambda        chi2  dof          pval    cramer  \\\n",
-       "0             pearson  1.000000  207.953598  4.0  7.320543e-44  0.504822   \n",
-       "1        cressie-read  0.666667  212.097886  4.0  9.399650e-45  0.509827   \n",
-       "2      log-likelihood  0.000000  226.885551  4.0  6.180405e-48  0.527301   \n",
-       "3       freeman-tukey -0.500000  245.353457  4.0  6.523214e-52  0.548341   \n",
-       "4  mod-log-likelihood -1.000000  272.619752  4.0  8.691099e-58  0.578008   \n",
-       "5              neyman -2.000000  369.592455  4.0  1.030517e-78  0.673002   \n",
-       "\n",
-       "   power  \n",
-       "0    1.0  \n",
-       "1    1.0  \n",
-       "2    1.0  \n",
-       "3    1.0  \n",
-       "4    1.0  \n",
-       "5    1.0  "
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "results"
    ]
@@ -2258,23 +765,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "id": "7ea01f76",
    "metadata": {
     "hidden": true
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "KstestResult(statistic=0.31230026103290964, pvalue=7.791487838171347e-18, statistic_location=55.58, statistic_sign=1)"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "stats.ks_2samp(parents_age, others_age)"
    ]
@@ -2301,104 +797,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "id": "c1ae931b-5da2-4e9b-8019-8a1599e95970",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
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-       "\n",
-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Source</th>\n",
-       "      <th>SS</th>\n",
-       "      <th>DF</th>\n",
-       "      <th>MS</th>\n",
-       "      <th>F</th>\n",
-       "      <th>p-unc</th>\n",
-       "      <th>np2</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>BinnedAge</td>\n",
-       "      <td>745.574390</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>186.393598</td>\n",
-       "      <td>2.332798</td>\n",
-       "      <td>5.426628e-02</td>\n",
-       "      <td>0.011445</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Sex</td>\n",
-       "      <td>2684.914945</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>2684.914945</td>\n",
-       "      <td>33.602890</td>\n",
-       "      <td>9.697564e-09</td>\n",
-       "      <td>0.040022</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>BinnedAge * Sex</td>\n",
-       "      <td>1089.804405</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>272.451101</td>\n",
-       "      <td>3.409845</td>\n",
-       "      <td>8.909789e-03</td>\n",
-       "      <td>0.016641</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Residual</td>\n",
-       "      <td>64400.456945</td>\n",
-       "      <td>806.0</td>\n",
-       "      <td>79.901311</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "            Source            SS     DF           MS          F         p-unc  \\\n",
-       "0        BinnedAge    745.574390    4.0   186.393598   2.332798  5.426628e-02   \n",
-       "1              Sex   2684.914945    1.0  2684.914945  33.602890  9.697564e-09   \n",
-       "2  BinnedAge * Sex   1089.804405    4.0   272.451101   3.409845  8.909789e-03   \n",
-       "3         Residual  64400.456945  806.0    79.901311        NaN           NaN   \n",
-       "\n",
-       "        np2  \n",
-       "0  0.011445  \n",
-       "1  0.040022  \n",
-       "2  0.016641  \n",
-       "3       NaN  "
-      ]
-     },
-     "execution_count": 33,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.anova(data=df, dv='HeartRate', between=['BinnedAge', 'Sex'])"
    ]
@@ -2423,42 +825,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "id": "7d4dee15-1178-4793-a970-82bc9ed49d74",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.plot_paired(df, 'HeartRate', 'Sex', 'BinnedAge');"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "id": "52c337c2-d5a0-4284-91d7-a11af70e5a9a",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "pg.plot_paired(df, 'HeartRate', 'BinnedAge', 'Sex');"
    ]
@@ -2485,7 +865,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "id": "556d5072-a813-4551-9cb5-e5cbba528bed",
    "metadata": {},
    "outputs": [],
@@ -2517,122 +897,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "id": "45de8b53-30cc-48ab-adc6-945970d356af",
    "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>T</th>\n",
-       "      <th>dof</th>\n",
-       "      <th>alternative</th>\n",
-       "      <th>p-val</th>\n",
-       "      <th>CI95%</th>\n",
-       "      <th>cohen-d</th>\n",
-       "      <th>BF10</th>\n",
-       "      <th>power</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20-30</th>\n",
-       "      <td>4.330759</td>\n",
-       "      <td>113.025032</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.000032</td>\n",
-       "      <td>[3.67, 9.86]</td>\n",
-       "      <td>0.794361</td>\n",
-       "      <td>616.37</td>\n",
-       "      <td>0.990899</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30-40</th>\n",
-       "      <td>2.949648</td>\n",
-       "      <td>145.875465</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.003707</td>\n",
-       "      <td>[1.48, 7.51]</td>\n",
-       "      <td>0.472859</td>\n",
-       "      <td>8.857</td>\n",
-       "      <td>0.841595</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40-50</th>\n",
-       "      <td>2.423362</td>\n",
-       "      <td>165.504774</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.016455</td>\n",
-       "      <td>[0.63, 6.19]</td>\n",
-       "      <td>0.372634</td>\n",
-       "      <td>2.454</td>\n",
-       "      <td>0.674634</td>\n",
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-       "    <tr>\n",
-       "      <th>50-60</th>\n",
-       "      <td>-0.156658</td>\n",
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-       "    <tr>\n",
-       "      <th>60-70</th>\n",
-       "      <td>3.916719</td>\n",
-       "      <td>175.516065</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.000128</td>\n",
-       "      <td>[2.46, 7.46]</td>\n",
-       "      <td>0.585964</td>\n",
-       "      <td>165.561</td>\n",
-       "      <td>0.973418</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              T         dof alternative     p-val          CI95%   cohen-d  \\\n",
-       "20-30  4.330759  113.025032   two-sided  0.000032   [3.67, 9.86]  0.794361   \n",
-       "30-40  2.949648  145.875465   two-sided  0.003707   [1.48, 7.51]  0.472859   \n",
-       "40-50  2.423362  165.504774   two-sided  0.016455   [0.63, 6.19]  0.372634   \n",
-       "50-60 -0.156658  157.910756   two-sided  0.875714  [-2.77, 2.36]  0.022758   \n",
-       "60-70  3.916719  175.516065   two-sided  0.000128   [2.46, 7.46]  0.585964   \n",
-       "\n",
-       "          BF10     power  \n",
-       "20-30   616.37  0.990899  \n",
-       "30-40    8.857  0.841595  \n",
-       "40-50    2.454  0.674634  \n",
-       "50-60    0.161  0.052733  \n",
-       "60-70  165.561  0.973418  "
-      ]
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "results = stratified_ttests(df, 'HeartRate', 'Sex', 'BinnedAge')\n",
     "results"
@@ -2648,122 +916,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": null,
    "id": "9b060b84-c930-4f46-a39d-c1e4237358f5",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <td>0.052733</td>\n",
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-       "      <th>60-70</th>\n",
-       "      <td>3.916719</td>\n",
-       "      <td>175.516065</td>\n",
-       "      <td>two-sided</td>\n",
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-       "      <td>[2.46, 7.46]</td>\n",
-       "      <td>0.585964</td>\n",
-       "      <td>165.561</td>\n",
-       "      <td>0.973418</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
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-      "text/plain": [
-       "              T         dof alternative     p-val          CI95%   cohen-d  \\\n",
-       "20-30  4.330759  113.025032   two-sided  0.000032   [3.67, 9.86]  0.794361   \n",
-       "30-40  2.949648  145.875465   two-sided  0.003707   [1.48, 7.51]  0.472859   \n",
-       "40-50  2.423362  165.504774   two-sided  0.016455   [0.63, 6.19]  0.372634   \n",
-       "50-60 -0.156658  157.910756   two-sided  0.875714  [-2.77, 2.36]  0.022758   \n",
-       "60-70  3.916719  175.516065   two-sided  0.000128   [2.46, 7.46]  0.585964   \n",
-       "\n",
-       "          BF10     power  \n",
-       "20-30   616.37  0.990899  \n",
-       "30-40    8.857  0.841595  \n",
-       "40-50    2.454  0.674634  \n",
-       "50-60    0.161  0.052733  \n",
-       "60-70  165.561  0.973418  "
-      ]
-     },
-     "execution_count": 38,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "results = []\n",
     "for stratum in ('20-30', '30-40', '40-50', '50-60', '60-70'):\n",
@@ -2797,147 +953,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "id": "e5411a4f-31a5-452c-b644-286ef34412da",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
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-       "      <th></th>\n",
-       "      <th>T</th>\n",
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-       "      <th>BF10</th>\n",
-       "      <th>power</th>\n",
-       "      <th>corrected p-val</th>\n",
-       "      <th>significance</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>20-30</th>\n",
-       "      <td>4.330759</td>\n",
-       "      <td>113.025032</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.000032</td>\n",
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-       "      <td>616.37</td>\n",
-       "      <td>0.990899</td>\n",
-       "      <td>0.000162</td>\n",
-       "      <td>True</td>\n",
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-       "    <tr>\n",
-       "      <th>30-40</th>\n",
-       "      <td>2.949648</td>\n",
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-       "      <td>8.857</td>\n",
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-       "      <td>0.011121</td>\n",
-       "      <td>True</td>\n",
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-       "    <tr>\n",
-       "      <th>40-50</th>\n",
-       "      <td>2.423362</td>\n",
-       "      <td>165.504774</td>\n",
-       "      <td>two-sided</td>\n",
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-       "      <td>2.454</td>\n",
-       "      <td>0.674634</td>\n",
-       "      <td>0.032911</td>\n",
-       "      <td>True</td>\n",
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-       "    <tr>\n",
-       "      <th>50-60</th>\n",
-       "      <td>-0.156658</td>\n",
-       "      <td>157.910756</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.875714</td>\n",
-       "      <td>[-2.77, 2.36]</td>\n",
-       "      <td>0.022758</td>\n",
-       "      <td>0.161</td>\n",
-       "      <td>0.052733</td>\n",
-       "      <td>0.875714</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>60-70</th>\n",
-       "      <td>3.916719</td>\n",
-       "      <td>175.516065</td>\n",
-       "      <td>two-sided</td>\n",
-       "      <td>0.000128</td>\n",
-       "      <td>[2.46, 7.46]</td>\n",
-       "      <td>0.585964</td>\n",
-       "      <td>165.561</td>\n",
-       "      <td>0.973418</td>\n",
-       "      <td>0.000514</td>\n",
-       "      <td>True</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              T         dof alternative     p-val          CI95%   cohen-d  \\\n",
-       "20-30  4.330759  113.025032   two-sided  0.000032   [3.67, 9.86]  0.794361   \n",
-       "30-40  2.949648  145.875465   two-sided  0.003707   [1.48, 7.51]  0.472859   \n",
-       "40-50  2.423362  165.504774   two-sided  0.016455   [0.63, 6.19]  0.372634   \n",
-       "50-60 -0.156658  157.910756   two-sided  0.875714  [-2.77, 2.36]  0.022758   \n",
-       "60-70  3.916719  175.516065   two-sided  0.000128   [2.46, 7.46]  0.585964   \n",
-       "\n",
-       "          BF10     power  corrected p-val  significance  \n",
-       "20-30   616.37  0.990899         0.000162          True  \n",
-       "30-40    8.857  0.841595         0.011121          True  \n",
-       "40-50    2.454  0.674634         0.032911          True  \n",
-       "50-60    0.161  0.052733         0.875714         False  \n",
-       "60-70  165.561  0.973418         0.000514          True  "
-      ]
-     },
-     "execution_count": 39,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "significance, corrected_pvalues = pg.multicomp(results['p-val'], method='holm')\n",
     "results['corrected p-val'], results['significance'] = corrected_pvalues, significance\n",
     "results"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c91bde97-d6ea-4eb6-953b-391df9b3576e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -2956,7 +980,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.11.10"
   },
   "toc": {
    "base_numbering": 1,