diff --git a/notebooks/12_data_in_practice.ipynb b/notebooks/12_data_in_practice.ipynb
index 653b116e..7ad01cdf 100644
--- a/notebooks/12_data_in_practice.ipynb
+++ b/notebooks/12_data_in_practice.ipynb
@@ -39,14 +39,6 @@
     "2 + 3"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e864979f-9754-4113-8cf3-aba5a99ad11e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -244,38 +236,6 @@
     "sorted(os.listdir(\"../exercises\"))"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "97907ab4-3bd7-4479-a470-ea256197535d",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "e2da7278-9eaf-4540-8ac7-dede263ac21f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cb9f645a-0478-4fa1-b6c0-d9465307adb2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "bc9cef8b-8af3-4050-bbc2-e95ab87e3384",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -311,14 +271,6 @@
     "import pandas as pd"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "f4e3e626-368e-48f5-ac68-9f80423e49ad",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "22bf0b74-9641-4892-8bbe-d563c6fbaca3",
@@ -957,22 +909,6 @@
     "players.dtypes"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a0f97e38-fa70-44f3-9c2b-ae33a877a07b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "efd7b332-0764-4e45-a9a4-3f603de8cc64",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": 18,
@@ -996,34 +932,14 @@
       " 5   points    12 non-null     int64  \n",
       " 6   finished  12 non-null     int64  \n",
       "dtypes: float64(1), int64(4), object(2)\n",
-      "memory usage: 2.0 KB\n"
+      "memory usage: 800.0+ bytes\n"
      ]
     }
    ],
    "source": [
-    "players.info(memory_usage=\"deep\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "id": "3969e827-6568-435e-9688-0b1828b6348c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# players.axes\n",
-    "# players.memory_usage()\n",
-    "# players.values"
+    "players.info()"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c761920a-ef2b-4103-9688-394046c6ed8b",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -1050,7 +966,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "id": "79ea4191-d863-4f47-a44e-ff50d37d9152",
    "metadata": {},
    "outputs": [
@@ -1060,7 +976,7 @@
        "1321"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1088,7 +1004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "id": "d169e387-d129-45d7-947e-f5062d4cffff",
    "metadata": {},
    "outputs": [
@@ -1105,7 +1021,7 @@
        "Name: 6, dtype: object"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1118,7 +1034,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "id": "96c99ba6-e177-43dc-97d6-7ea17a2e8667",
    "metadata": {},
    "outputs": [
@@ -1128,7 +1044,7 @@
        "pandas.core.series.Series"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1148,7 +1064,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "id": "cef7923f-7a65-49b8-b4ce-7ace5592e1a0",
    "metadata": {},
    "outputs": [
@@ -1158,7 +1074,7 @@
        "Index(['username', 'country', 'age', 'ezlvl', 'time', 'points', 'finished'], dtype='object')"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1177,7 +1093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "id": "b077de35-983d-4c8d-92c6-c6593e05b001",
    "metadata": {},
    "outputs": [
@@ -1187,7 +1103,7 @@
        "27"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1214,7 +1130,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "id": "dce25ae2-06da-4841-bc11-2747855ebe71",
    "metadata": {},
    "outputs": [
@@ -1236,7 +1152,7 @@
        "Name: age, dtype: int64"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1248,7 +1164,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "id": "99f9aa2f-7b0e-4b2a-881b-a68fa5e5f1c6",
    "metadata": {},
    "outputs": [
@@ -1258,7 +1174,7 @@
        "pandas.core.series.Series"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1269,7 +1185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "id": "44593e36-724e-47c1-805c-9620ee4d2731",
    "metadata": {},
    "outputs": [
@@ -1279,7 +1195,7 @@
        "RangeIndex(start=0, stop=12, step=1)"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1290,7 +1206,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 27,
    "id": "43a4a89c-5a89-41ff-8751-5a07cea6c2d8",
    "metadata": {},
    "outputs": [
@@ -1300,7 +1216,7 @@
        "array([38, 21, 52, 50, 26, 45, 27, 23, 24, 59, 18, 22])"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1311,7 +1227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 28,
    "id": "481431ff-064d-457c-977c-6a184e1f24e3",
    "metadata": {},
    "outputs": [],
@@ -1322,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 29,
    "id": "2bba5e49-0c14-4594-8e49-d83e8dda0900",
    "metadata": {},
    "outputs": [],
@@ -1333,7 +1249,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 30,
    "id": "0f6abff9-cb72-4115-a5fd-f24b51475b8e",
    "metadata": {},
    "outputs": [
@@ -1343,7 +1259,7 @@
        "27"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1378,7 +1294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 31,
    "id": "dcbfcc05-209b-44f6-a4b5-cbee814d6b22",
    "metadata": {},
    "outputs": [
@@ -1488,7 +1404,7 @@
        "11     joro      bg"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1505,14 +1421,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "18e68767-08ce-4688-a3fd-9739b18f00c8",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "1c99d726-0b2f-453b-85bb-04407be09efc",
@@ -1523,7 +1431,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 32,
    "id": "4e5cd02d-f0bf-4bfe-a962-d27fc1f2cd86",
    "metadata": {},
    "outputs": [
@@ -1545,7 +1453,7 @@
        "Name: age, dtype: int64"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1557,7 +1465,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 33,
    "id": "c578912f-b3f5-4666-93c2-374014a96e7a",
    "metadata": {},
    "outputs": [
@@ -1567,7 +1475,7 @@
        "pandas.core.series.Series"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1594,7 +1502,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 34,
    "id": "bb1fc8c7-acf2-4ef4-ae7c-0be77b80c9a3",
    "metadata": {},
    "outputs": [
@@ -1604,7 +1512,7 @@
        "RangeIndex(start=0, stop=12, step=1)"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1615,7 +1523,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 35,
    "id": "4723230b-9a7b-446e-a13e-7b20757a20e8",
    "metadata": {},
    "outputs": [
@@ -1625,7 +1533,7 @@
        "array([38, 21, 52, 50, 26, 45, 27, 23, 24, 59, 18, 22])"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1636,7 +1544,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "id": "8e1d6363-9a8d-41e2-8295-e1fa0a043a6c",
    "metadata": {},
    "outputs": [
@@ -1646,7 +1554,7 @@
        "'age'"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1657,7 +1565,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 37,
    "id": "73f46417-ea6f-4537-b420-f01b8d91e41b",
    "metadata": {},
    "outputs": [
@@ -1674,7 +1582,7 @@
        "Name: 6, dtype: object"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1701,7 +1609,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 38,
    "id": "bc4fff74-3e24-48e9-8055-2a64056aba65",
    "metadata": {},
    "outputs": [
@@ -1711,7 +1619,7 @@
        "12"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1722,7 +1630,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 39,
    "id": "2c91c906-0512-423d-9d5d-f3d68b6a41b0",
    "metadata": {},
    "outputs": [],
@@ -1733,7 +1641,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 40,
    "id": "eb6bd5c3-df22-4b70-9a52-85d4f8c901c2",
    "metadata": {},
    "outputs": [
@@ -1743,7 +1651,7 @@
        "405"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1754,7 +1662,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 41,
    "id": "dc793012-8a70-4462-b3d7-3e540242dd81",
    "metadata": {},
    "outputs": [
@@ -1764,7 +1672,7 @@
        "33.75"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1775,7 +1683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 42,
    "id": "dd1483b4-484e-4e35-9efc-3964dcc41fa2",
    "metadata": {},
    "outputs": [
@@ -1785,7 +1693,7 @@
        "33.75"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1796,7 +1704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 43,
    "id": "94f54a17-c0db-4a26-8759-4804b30a0a19",
    "metadata": {},
    "outputs": [
@@ -1806,7 +1714,7 @@
        "14.28365244861157"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 43,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1823,30 +1731,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "28a99837-60df-46c5-ad0e-a4ffe032e910",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "46d734fc-d321-4065-ac3c-8867a019beea",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "518d8081-9fef-40bc-ab19-c291539d0d84",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "31855657-5fb3-4e39-a1a7-aa882c34c8b3",
@@ -1865,7 +1749,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 44,
    "id": "b98b49ca-ebc0-4e3f-808c-013d24ed94be",
    "metadata": {},
    "outputs": [
@@ -1887,7 +1771,7 @@
        "Name: ezlvl, dtype: bool"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1907,7 +1791,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 45,
    "id": "f19c7d93-008c-40e2-ad37-31f4d76ae881",
    "metadata": {},
    "outputs": [
@@ -2016,7 +1900,7 @@
        "11     joro      bg   22      1  381.97    1491         1"
       ]
      },
-     "execution_count": 46,
+     "execution_count": 45,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2035,7 +1919,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 46,
    "id": "31504f1d-4b9b-48b3-be84-96afe36b9db6",
    "metadata": {},
    "outputs": [
@@ -2144,7 +2028,7 @@
        "11     joro      bg   22      1  381.97    1491         1"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2171,7 +2055,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 47,
    "id": "aad81bf1-1bc9-4821-bcd3-35c8b1efd169",
    "metadata": {},
    "outputs": [],
@@ -2182,7 +2066,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 48,
    "id": "809b90ce-e143-42cd-9360-006951f40bf6",
    "metadata": {},
    "outputs": [],
@@ -2199,30 +2083,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d64769e4-8a84-4d64-b634-6354d15475d9",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "a33f019a-656a-4bc9-b22f-b6740c25cd1e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5e54f099-c049-497b-b1db-3951e08c11f2",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "ea9a46c5-c979-499d-8e73-51df01fb4732",
@@ -2233,7 +2093,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 49,
    "id": "236d91c8-0711-4997-a231-9da743918331",
    "metadata": {},
    "outputs": [
@@ -2408,7 +2268,7 @@
        "5    jordan      us   45      0   28.49     206         0"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2419,7 +2279,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 50,
    "id": "c041f0a1-8be6-4f38-8aaf-80959d4f7f2b",
    "metadata": {},
    "outputs": [
@@ -2441,7 +2301,7 @@
        "Name: time, dtype: float64"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2468,17 +2328,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 51,
    "id": "94015891-f5fb-45ee-a02b-6e841e724c17",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x116aba160>"
+       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x117c15ca0>"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2489,17 +2349,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 52,
    "id": "00257f13-925d-43ff-8fe6-bc8423c6571f",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<pandas.core.groupby.generic.SeriesGroupBy object at 0x116aba0d0>"
+       "<pandas.core.groupby.generic.SeriesGroupBy object at 0x117c151c0>"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 52,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2510,7 +2370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 53,
    "id": "bf8a68ae-f527-4091-863c-041ecb70a36c",
    "metadata": {},
    "outputs": [
@@ -2523,7 +2383,7 @@
        "Name: time, dtype: float64"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 53,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2534,7 +2394,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 54,
    "id": "de1bcd81-0508-42e2-a56d-0f767e123e35",
    "metadata": {},
    "outputs": [
@@ -2555,7 +2415,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 55,
    "id": "96370afc-e2b8-41c7-b536-526bac1cc06c",
    "metadata": {},
    "outputs": [],
@@ -2567,7 +2427,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 56,
    "id": "7ba12420-1e8a-47d7-93b0-5425bb65100d",
    "metadata": {},
    "outputs": [],
@@ -2587,14 +2447,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cf70e9b0-318b-473c-abfe-131ee06be87c",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "699a6b63-e0b2-4b4a-9a4e-6761ac3e6274",
@@ -2614,7 +2466,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 57,
    "id": "fa7acf92-e668-4c95-8e3b-bd63e2f51afc",
    "metadata": {},
    "outputs": [],
@@ -2633,7 +2485,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 58,
    "id": "6a789a86-372c-494e-b9e4-e5422430243b",
    "metadata": {},
    "outputs": [
@@ -2643,13 +2495,13 @@
        "<Axes: xlabel='time'>"
       ]
      },
-     "execution_count": 59,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2665,7 +2517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 59,
    "id": "9908e51b-ad9a-4d93-b1ac-bb8e626e9a08",
    "metadata": {},
    "outputs": [
@@ -2675,13 +2527,13 @@
        "<Axes: xlabel='time'>"
       ]
      },
-     "execution_count": 60,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2696,7 +2548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 60,
    "id": "aea8478f-28f7-4cab-acf6-5becf8f0c64b",
    "metadata": {},
    "outputs": [
@@ -2706,13 +2558,13 @@
        "<Axes: xlabel='time'>"
       ]
      },
-     "execution_count": 61,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2733,22 +2585,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "cc3b5c28-e121-4bbf-b931-1f2017883abb",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "9dcd3d10-da4a-4f6c-9a1e-d4c96be1225e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "c7a467e4-a930-4297-9690-96fa85963186",
@@ -2765,7 +2601,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 61,
    "id": "8d45e9a2-504a-4a5a-91b5-e66f530abc14",
    "metadata": {},
    "outputs": [
@@ -2775,7 +2611,7 @@
        "242.17333333333332"
       ]
      },
-     "execution_count": 62,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2787,7 +2623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 62,
    "id": "4e9d22f3-3334-4a8e-94a2-213a41b0e837",
    "metadata": {},
    "outputs": [
@@ -2797,7 +2633,7 @@
        "257.34166666666664"
       ]
      },
-     "execution_count": 63,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2809,7 +2645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 63,
    "id": "6de697f5-aadc-4376-8185-b4c85d95598c",
    "metadata": {},
    "outputs": [
@@ -2819,13 +2655,13 @@
        "<Axes: xlabel='time', ylabel='ezlvl'>"
       ]
      },
-     "execution_count": 64,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2841,35 +2677,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 64,
    "id": "2af9c99b-f789-4286-92c6-849900eb597f",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Axes: xlabel='time', ylabel='ezlvl'>"
-      ]
-     },
-     "execution_count": 65,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "ax = sns.stripplot(data=players, x=\"time\", y=\"ezlvl\", hue=\"ezlvl\", orient=\"h\", legend=None)\n",
-    "sns.stripplot(x=[mean0], y=[0], marker=\"D\", orient=\"h\", color=\"b\", ax=ax)\n",
-    "sns.stripplot(x=[mean1], y=[1], marker=\"D\", orient=\"h\", color=\"r\", ax=ax)"
+    "# ALT. same stripplot with markers for the group means \n",
+    "# ax = sns.stripplot(data=players, x=\"time\", y=\"ezlvl\", hue=\"ezlvl\", orient=\"h\", legend=None)\n",
+    "# sns.stripplot(x=[mean0], y=[0], marker=\"D\", orient=\"h\", color=\"b\", ax=ax)\n",
+    "# sns.stripplot(x=[mean1], y=[1], marker=\"D\", orient=\"h\", color=\"r\", ax=ax)"
    ]
   },
   {
@@ -2880,22 +2696,6 @@
    "outputs": [],
    "source": []
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "4950cb40-ea4a-4a04-849e-cf666959d6eb",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c074031c-d966-4d41-a94d-566152d40e7a",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "e7e01c96-885b-4325-8fad-6ea3fd668c2e",
@@ -2909,7 +2709,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 65,
    "id": "d26962ff-7d7a-47ea-9e0b-c5fb2d575fb3",
    "metadata": {},
    "outputs": [
@@ -2919,7 +2719,7 @@
        "<Axes: xlabel='age', ylabel='time'>"
       ]
      },
-     "execution_count": 66,
+     "execution_count": 65,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2940,7 +2740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 66,
    "id": "27358723-2590-41cb-bc3c-f02372f2aa6f",
    "metadata": {},
    "outputs": [
@@ -2950,7 +2750,7 @@
        "<Axes: xlabel='age', ylabel='time'>"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -2988,22 +2788,6 @@
     "TODO Add table as .md"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "24f738f4-8298-4455-8aac-5c66ee34e695",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "c612ded3-5060-4afc-aefd-90182e6ddb65",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "8c3c5b69-0c71-4fa5-bcea-489b3d468dc3",
@@ -3014,7 +2798,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 67,
    "id": "e1cecebc-3faf-4115-b970-c1557b15f60c",
    "metadata": {},
    "outputs": [
@@ -3024,7 +2808,7 @@
        "(30, 1)"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3036,7 +2820,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 68,
    "id": "a5f2a3cd-771d-448b-a18a-001508722d9b",
    "metadata": {},
    "outputs": [
@@ -3088,7 +2872,7 @@
        "2   192.0"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3099,7 +2883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 69,
    "id": "2327178c-2c42-4301-901c-2ff8c3744a3f",
    "metadata": {},
    "outputs": [
@@ -3109,7 +2893,7 @@
        "202.6"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3120,7 +2904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 70,
    "id": "d9fd7ae8-73e5-4a03-b647-de96746490c0",
    "metadata": {},
    "outputs": [
@@ -3130,7 +2914,7 @@
        "<Axes: xlabel='weight'>"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -3167,7 +2951,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 71,
    "id": "e1cb38b5-9e33-43d2-8df5-02651f15c97f",
    "metadata": {},
    "outputs": [
@@ -3177,7 +2961,7 @@
        "(18, 2)"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3189,7 +2973,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 72,
    "id": "09c27ccf-d3c3-4ffc-921f-0b6d0486de61",
    "metadata": {},
    "outputs": [
@@ -3245,7 +3029,7 @@
        "2  East    7.0"
       ]
      },
-     "execution_count": 73,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3256,7 +3040,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 73,
    "id": "643f2c61-6c6a-465d-910b-4a00274d3d14",
    "metadata": {},
    "outputs": [
@@ -3266,7 +3050,7 @@
        "9.155555555555557"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3277,7 +3061,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 74,
    "id": "e84383de-3671-46ab-8dd8-792f08e8abc8",
    "metadata": {},
    "outputs": [
@@ -3287,7 +3071,7 @@
        "6.155555555555556"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3298,7 +3082,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 75,
    "id": "feff15c1-db38-4d6c-a3c0-d5720ecff559",
    "metadata": {},
    "outputs": [
@@ -3308,13 +3092,13 @@
        "<Axes: xlabel='price', ylabel='loc'>"
       ]
      },
-     "execution_count": 76,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3345,7 +3129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 76,
    "id": "1e22cee9-59fd-4747-9e52-6392336ac9dd",
    "metadata": {},
    "outputs": [
@@ -3355,7 +3139,7 @@
        "(15, 5)"
       ]
      },
-     "execution_count": 77,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3367,7 +3151,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 99,
    "id": "71bc6a1f-f84b-4b03-b734-298a0c666865",
    "metadata": {},
    "outputs": [
@@ -3440,191 +3224,101 @@
        "      <td>9.90</td>\n",
        "      <td>76.1</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>5</th>\n",
-       "      <td>6</td>\n",
-       "      <td>business</td>\n",
-       "      <td>debate</td>\n",
-       "      <td>10.80</td>\n",
-       "      <td>79.8</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>7</td>\n",
-       "      <td>science</td>\n",
-       "      <td>lecture</td>\n",
-       "      <td>7.81</td>\n",
-       "      <td>72.7</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>8</td>\n",
-       "      <td>business</td>\n",
-       "      <td>lecture</td>\n",
-       "      <td>9.13</td>\n",
-       "      <td>75.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>8</th>\n",
-       "      <td>9</td>\n",
-       "      <td>business</td>\n",
-       "      <td>lecture</td>\n",
-       "      <td>5.21</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>9</th>\n",
-       "      <td>10</td>\n",
-       "      <td>science</td>\n",
-       "      <td>lecture</td>\n",
-       "      <td>7.71</td>\n",
-       "      <td>69.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>11</td>\n",
-       "      <td>business</td>\n",
-       "      <td>debate</td>\n",
-       "      <td>9.82</td>\n",
-       "      <td>70.4</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>12</td>\n",
-       "      <td>arts</td>\n",
-       "      <td>debate</td>\n",
-       "      <td>11.53</td>\n",
-       "      <td>96.2</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>13</td>\n",
-       "      <td>science</td>\n",
-       "      <td>debate</td>\n",
-       "      <td>7.10</td>\n",
-       "      <td>62.9</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>14</td>\n",
-       "      <td>science</td>\n",
-       "      <td>lecture</td>\n",
-       "      <td>6.39</td>\n",
-       "      <td>57.6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>15</td>\n",
-       "      <td>arts</td>\n",
-       "      <td>debate</td>\n",
-       "      <td>12.00</td>\n",
-       "      <td>84.3</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    student_ID background curriculum  effort  score\n",
-       "0            1       arts     debate   10.96   75.0\n",
-       "1            2    science    lecture    8.69   75.0\n",
-       "2            3       arts     debate    8.60   67.0\n",
-       "3            4       arts    lecture    7.92   70.3\n",
-       "4            5    science     debate    9.90   76.1\n",
-       "5            6   business     debate   10.80   79.8\n",
-       "6            7    science    lecture    7.81   72.7\n",
-       "7            8   business    lecture    9.13   75.4\n",
-       "8            9   business    lecture    5.21   57.0\n",
-       "9           10    science    lecture    7.71   69.0\n",
-       "10          11   business     debate    9.82   70.4\n",
-       "11          12       arts     debate   11.53   96.2\n",
-       "12          13    science     debate    7.10   62.9\n",
-       "13          14    science    lecture    6.39   57.6\n",
-       "14          15       arts     debate   12.00   84.3"
+       "   student_ID background curriculum  effort  score\n",
+       "0           1       arts     debate   10.96   75.0\n",
+       "1           2    science    lecture    8.69   75.0\n",
+       "2           3       arts     debate    8.60   67.0\n",
+       "3           4       arts    lecture    7.92   70.3\n",
+       "4           5    science     debate    9.90   76.1"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "students"
+    "students.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
-   "id": "c23ab6ff-a758-466a-807f-2aa763328d25",
+   "execution_count": 80,
+   "id": "b04fc734-5008-44b5-af02-02c561fa54e1",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "68.14285714285714"
+       "<Axes: xlabel='score', ylabel='curriculum'>"
       ]
      },
-     "execution_count": 79,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "lscores = students[students[\"curriculum\"]==\"lecture\"]\n",
-    "lscores[\"score\"].mean()"
+    "sns.stripplot(data=students, x=\"score\", y=\"curriculum\", hue=\"curriculum\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
-   "id": "153c01e5-6c06-4927-b328-0a87ca8ea964",
+   "execution_count": 78,
+   "id": "c23ab6ff-a758-466a-807f-2aa763328d25",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "76.4625"
+       "68.14285714285714"
       ]
      },
-     "execution_count": 80,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "dscores = students[students[\"curriculum\"]==\"debate\"]\n",
-    "dscores[\"score\"].mean()"
+    "lscores = students[students[\"curriculum\"]==\"lecture\"]\n",
+    "lscores[\"score\"].mean()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
-   "id": "b04fc734-5008-44b5-af02-02c561fa54e1",
+   "execution_count": 79,
+   "id": "153c01e5-6c06-4927-b328-0a87ca8ea964",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<Axes: xlabel='score', ylabel='curriculum'>"
+       "76.4625"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
-    "sns.stripplot(data=students, x=\"score\", y=\"curriculum\", hue=\"curriculum\")"
+    "dscores = students[students[\"curriculum\"]==\"debate\"]\n",
+    "dscores[\"score\"].mean()"
    ]
   },
   {
@@ -3645,7 +3339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 81,
    "id": "1ddd1d6e-1303-4752-890a-fc060c009bdd",
    "metadata": {},
    "outputs": [
@@ -3655,7 +3349,7 @@
        "(347, 2)"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3667,7 +3361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 82,
    "id": "bcc7540e-e86c-4684-9eb6-0881e4d8c949",
    "metadata": {},
    "outputs": [
@@ -3677,7 +3371,7 @@
        "Index(['batch', 'volume'], dtype='object')"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3688,7 +3382,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 83,
    "id": "031a5465-9b35-4193-a4cc-48da41813b6a",
    "metadata": {},
    "outputs": [
@@ -3744,7 +3438,7 @@
        "2      1   994.72"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3755,7 +3449,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 84,
    "id": "3938c6e2-908a-43dd-a60b-bf3cc670be1c",
    "metadata": {},
    "outputs": [
@@ -3765,7 +3459,7 @@
        "array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3776,7 +3470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 85,
    "id": "bcdd1b7e-846e-4fc7-b319-1543f6767d52",
    "metadata": {},
    "outputs": [
@@ -3786,13 +3480,13 @@
        "<Axes: xlabel='batch', ylabel='volume'>"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3815,7 +3509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 87,
+   "execution_count": 86,
    "id": "826f42a6-9796-4e4c-9d74-a426e7a8c9db",
    "metadata": {},
    "outputs": [
@@ -3825,7 +3519,7 @@
        "999.10375"
       ]
      },
-     "execution_count": 87,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3854,7 +3548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 87,
    "id": "33707e0f-27dc-4ee6-b9d6-6b285841f11c",
    "metadata": {},
    "outputs": [
@@ -3864,7 +3558,7 @@
        "(224, 4)"
       ]
      },
-     "execution_count": 88,
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3876,7 +3570,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 88,
    "id": "535253f3-3ac2-4177-a3d4-7399b4d305f8",
    "metadata": {},
    "outputs": [
@@ -3940,7 +3634,7 @@
        "2   94980  Jessica Castro    rural   97.0"
       ]
      },
-     "execution_count": 89,
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3951,7 +3645,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 89,
    "id": "026fe674-9309-4070-8272-706a291ced4b",
    "metadata": {},
    "outputs": [
@@ -3961,13 +3655,13 @@
        "<Axes: xlabel='score', ylabel='location'>"
       ]
      },
-     "execution_count": 90,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -3980,14 +3674,6 @@
     "sns.stripplot(data=doctors, x=\"score\", y=\"location\", hue=\"location\")"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "d69f2c91-ce46-4ce6-b735-ed2398ecc265",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "60fe5a34-5142-448c-80d8-de73535588c3",
@@ -3998,7 +3684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 91,
+   "execution_count": 90,
    "id": "cc533e20-5dc3-4e47-bc21-a014345fb0e2",
    "metadata": {},
    "outputs": [
@@ -4008,7 +3694,7 @@
        "79.57051282051282"
       ]
      },
-     "execution_count": 91,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4020,7 +3706,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
+   "execution_count": 91,
    "id": "cd8cc610-939b-4f87-a8f4-261fb4bc73c9",
    "metadata": {},
    "outputs": [
@@ -4030,7 +3716,7 @@
        "81.79411764705883"
       ]
      },
-     "execution_count": 92,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4058,7 +3744,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 92,
    "id": "5a297df3-0e5d-4c41-878d-2f5c0d58e676",
    "metadata": {},
    "outputs": [
@@ -4068,7 +3754,7 @@
        "(2000, 3)"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 92,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4080,7 +3766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 94,
+   "execution_count": 93,
    "id": "38897d8c-5284-45c0-bd5e-889a3651412f",
    "metadata": {},
    "outputs": [
@@ -4154,7 +3840,7 @@
        "4      90.92.5.100       B       0"
       ]
      },
-     "execution_count": 94,
+     "execution_count": 93,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4165,7 +3851,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 94,
    "id": "2b58ae19-f611-4fa7-9dbf-ed4294a719d4",
    "metadata": {},
    "outputs": [
@@ -4175,7 +3861,7 @@
        "0.06482465462274177"
       ]
      },
-     "execution_count": 95,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4186,7 +3872,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 95,
    "id": "cc90aff5-a6e9-49ca-b0cc-3a1232be27cc",
    "metadata": {},
    "outputs": [
@@ -4196,7 +3882,7 @@
        "0.03777148253068933"
       ]
      },
-     "execution_count": 96,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4207,7 +3893,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 96,
    "id": "cd1fdd35-0626-4689-89b7-31bd814d5289",
    "metadata": {},
    "outputs": [
@@ -4217,13 +3903,13 @@
        "<Axes: xlabel='bought', ylabel='version'>"
       ]
      },
-     "execution_count": 97,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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lpY09JsT3T9lY6BEa3Qk3Pl3oEYAjXMGf+mnRokV07do1unbtGqeddlo8+OCD8eGHH8YDDzxQ6NEAgAIreKj8uaKioiguLo4tW7YUehQAoMAK/tTPtm3borq6OiI+fupn4sSJsXnz5jjvvPMKPBkAUGgFD5Vf//rX0bFjx4iIOProo6N79+7xy1/+MgYPHlzYwQCAgitoqEydOjWmTp1ayBEAgIQl9xoVAIBdhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJCskkIPkCsV1z8XrVq1KvQYAEAOOaMCACRLqAAAyRIqAECyhAoAkCyhAgAkS6gAAMkSKgBAsoQKAJAsoQIAJEuoAADJEioAQLKECgCQLKECACRLqAAAyRIqAECyhAoAkCyhAgAkq6TQAxysLMsiIqKmpqbAkwAA+2vXz+1dP8f35pAPlfXr10dEREVFRYEnAQAa6oMPPoiysrK9Xn/Ih8qxxx4bERFvvfXWPhc9lNXU1ERFRUW8/fbb0apVq0KPkxd2PDzY8fBgx8ND6jtmWRYffPBBlJeX7/O4Qz5Uios/fplNWVlZkg9ELrVq1cqOhwE7Hh7seHiwY2HtzwkGL6YFAJIlVACAZB3yoVJaWho33XRTlJaWFnqUvLHj4cGOhwc7Hh7seOgoyj7pfUEAAAVyyJ9RAQAOX0IFAEiWUAEAkiVUAIBkJRcqkyZNii5dukTz5s2jf//+sWjRon0e/8tf/jK6d+8ezZs3j5NPPjmefPLJetdnWRY33nhjdOzYMY466qgYMmRIrFixIp8rfKJc7/j444/HWWedFW3atImioqJYsmRJHqffP7nccfv27XHdddfFySefHC1atIjy8vK45JJL4t133833GvuU68dx7Nix0b1792jRokUcc8wxMWTIkFi4cGE+V/hEud7xT33zm9+MoqKi+OlPf5rjqRsm1zuOGjUqioqK6n1VVlbmc4VPlI/H8dVXX42hQ4dGWVlZtGjRIk477bR466238rXCJ8r1jn/+GO76uuOOO/K5xj7lesfNmzfHlVdeGZ06dYqjjjoqevToEffff38+VzgwWUIee+yxrFmzZtlDDz2U/e53v8tGjx6dtW7dOlu7du0ej3/22WezJk2aZOPHj89eeeWV7Ic//GHWtGnT7KWXXqo75rbbbsvKysqy6dOnZ0uXLs2GDh2affrTn862bNnSWGvVk48dp02blv3oRz/KHnjggSwishdffLGRttmzXO+4cePGbMiQIdnPf/7z7Pe//322YMGCrF+/flnfvn0bc6168vE4PvLII9ns2bOzN954I3v55ZezSy+9NGvVqlW2bt26xlqrnnzsuMvjjz+e9e7dOysvL8/uvvvuPG+yd/nYceTIkVllZWW2Zs2auq/333+/sVbaTT52fP3117Njjz02u+aaa7IXXnghe/3117MZM2bs9T7zLR87/unjt2bNmuyhhx7KioqKsjfeeKOx1qonHzuOHj06+8xnPpPNmzcvW7lyZfazn/0sa9KkSTZjxozGWmu/JBUq/fr1y6644oq673fu3JmVl5dnt9566x6Pv+CCC7Jzzz233mX9+/fP/uEf/iHLsiyrra3NOnTokN1xxx1112/cuDErLS3NHn300Txs8MlyveOfWrlyZRKhks8dd1m0aFEWEdmqVatyM3QDNcaOmzZtyiIimzNnTm6GbqB87bh69ers+OOPz15++eWsc+fOBQ2VfOw4cuTIbNiwYXmZ90DkY8cLL7wwGzFiRH4GPgCN8fdx2LBh2V/91V/lZuADkI8de/bsmY0bN67eMaeeemr2gx/8IIeTH7xknvr56KOP4vnnn48hQ4bUXVZcXBxDhgyJBQsW7PE2CxYsqHd8RMTZZ59dd/zKlSujurq63jFlZWXRv3//vd5nPuVjx9Q01o6bNm2KoqKiaN26dU7mbojG2PGjjz6KyZMnR1lZWfTu3Tt3w++nfO1YW1sbF198cVxzzTXRs2fP/Ay/n/L5OD799NNx3HHHRbdu3eIf//Ef637Le2PLx461tbUxa9as+OxnPxtnn312HHfccdG/f/+YPn163vbYl8b4+7h27dqYNWtWXHrppbkbvAHytePAgQPjiSeeiHfeeSeyLIt58+bFa6+9FmeddVZ+FjlAyYTKH//4x9i5c2e0b9++3uXt27eP6urqPd6murp6n8fv+mdD7jOf8rFjahpjx61bt8Z1110XF110UUF+0VY+d5w5c2a0bNkymjdvHnfffXfMnj072rZtm9sF9kO+drz99tujpKQkvv3tb+d+6AbK146VlZUxbdq0mDt3btx+++3xzDPPxDnnnBM7d+7M/RKfIB87rlu3LjZv3hy33XZbVFZWxlNPPRXDhw+P888/P5555pn8LLIPjfH/OQ8//HAcffTRcf755+dm6AbK144TJkyIHj16RKdOnaJZs2ZRWVkZkyZNii9+8Yu5X+IgHPK/PZkjy/bt2+OCCy6ILMvivvvuK/Q4OfelL30plixZEn/84x/jgQceiAsuuCAWLlwYxx13XKFHO2jPP/983HPPPfHCCy9EUVFRocfJm7/927+t+/PJJ58cvXr1is985jPx9NNPxxlnnFHAyXKjtrY2IiKGDRsW3/3udyMiok+fPvE///M/cf/998egQYMKOV5ePPTQQ/GNb3wjmjdvXuhRcmrChAnx3HPPxRNPPBGdO3eO3/zmN3HFFVdEeXn5bmdjCimZMypt27aNJk2axNq1a+tdvnbt2ujQocMeb9OhQ4d9Hr/rnw25z3zKx46pyeeOuyJl1apVMXv27IL92vJ87tiiRYvo2rVrfP7zn4+qqqooKSmJqqqq3C6wH/Kx4/z582PdunVxwgknRElJSZSUlMSqVavin//5n6NLly552WNfGuvv41/8xV9E27Zt4/XXXz/4oRsoHzu2bds2SkpKokePHvWOOemkkwryrp98P47z58+P5cuXx2WXXZa7oRsoHztu2bIlvv/978ddd90V5513XvTq1SuuvPLKuPDCC+MnP/lJfhY5QMmESrNmzaJv374xd+7custqa2tj7ty5MWDAgD3eZsCAAfWOj4iYPXt23fGf/vSno0OHDvWOqampiYULF+71PvMpHzumJl877oqUFStWxJw5c6JNmzb5WWA/NObjWFtbG9u2bTv4oRsoHztefPHFsWzZsliyZEndV3l5eVxzzTXx3//93/lbZi8a63FcvXp1rF+/Pjp27JibwRsgHzs2a9YsTjvttFi+fHm9Y1577bXo3Llzjjf4ZPl+HKuqqqJv374Fea3YLvnYcfv27bF9+/YoLq6fAU2aNKk7a5aMQr+a90899thjWWlpaTZ16tTslVdeyS6//PKsdevWWXV1dZZlWXbxxRdn119/fd3xzz77bFZSUpL95Cc/yV599dXspptu2uPbk1u3bp3NmDEjW7ZsWTZs2LCCvz051zuuX78+e/HFF7NZs2ZlEZE99thj2YsvvpitWbOm0ffLstzv+NFHH2VDhw7NOnXqlC1ZsqTeWwa3bdt2WOy4efPmbMyYMdmCBQuyN998M1u8eHH2d3/3d1lpaWn28ssvHxY77kmh3/WT6x0/+OCD7Hvf+162YMGCbOXKldmcOXOyU089NTvxxBOzrVu3HhY7ZtnHby9v2rRpNnny5GzFihXZhAkTsiZNmmTz589v9P2yLH//rW7atCn71Kc+ld13332Nus+e5GPHQYMGZT179szmzZuX/eEPf8imTJmSNW/ePLv33nsbfb99SSpUsizLJkyYkJ1wwglZs2bNsn79+mXPPfdc3XWDBg3KRo4cWe/4X/ziF9lnP/vZrFmzZlnPnj2zWbNm1bu+trY2u+GGG7L27dtnpaWl2RlnnJEtX768MVbZq1zvOGXKlCwidvu66aabGmGbPcvljrvedr2nr3nz5jXSRrvL5Y5btmzJhg8fnpWXl2fNmjXLOnbsmA0dOjRbtGhRY62zR7n+b/XPFTpUsiy3O/7f//1fdtZZZ2Xt2rXLmjZtmnXu3DkbPXp03Q+TQsnH41hVVZV17do1a968eda7d+9s+vTp+V5jn/Kx489+9rPsqKOOyjZu3Jjv8fdLrndcs2ZNNmrUqKy8vDxr3rx51q1bt+zOO+/MamtrG2Od/VaUZVlWmHM5AAD7lsxrVAAA/pxQAQCSJVQAgGQJFQAgWUIFAEiWUAEAkiVUAIBkCRUAIFlCBThogwcPju985zuFHiOZOYDcESrAEaWoqCimT59e6DGA/SRUAIBkCRUgJ3bs2BFXXnlllJWVRdu2beOGG26IXb9KbMOGDXHJJZfEMcccE5/61KfinHPOiRUrVtTdduzYsdGnT5969/fTn/40unTpUu/+v/3tb0fr1q2jTZs2cd1118XIkSPjr//6r+vdrra2Nq699to49thjo0OHDjF27Ni663bd3/Dhw6OoqKje/QNpEipATjz88MNRUlISixYtinvuuSfuuuuuePDBByMiYtSoUbF48eJ44oknYsGCBZFlWXz5y1+O7du37/f933777fHII4/ElClT4tlnn42ampo9PoXz8MMPR4sWLWLhwoUxfvz4GDduXMyePTsiIv73f/83IiKmTJkSa9asqfseSFdJoQcADg8VFRVx9913R1FRUXTr1i1eeumluPvuu2Pw4MHxxBNPxLPPPhsDBw6MiIhHHnkkKioqYvr06fG1r31tv+5/woQJMWbMmBg+fHhEREycODGefPLJ3Y7r1atX3HTTTRERceKJJ8bEiRNj7ty5ceaZZ0a7du0iIqJ169bRoUOHXKwN5JkzKkBOfP7zn4+ioqK67wcMGBArVqyIV155JUpKSqJ///5117Vp0ya6desWr7766n7d96ZNm2Lt2rXRr1+/usuaNGkSffv23e3YXr161fu+Y8eOsW7duoauAyRCqAAFV1xcXPd6ll0a8rTQn2ratGm974uKiqK2tvaAZwMKS6gAObFw4cJ63z/33HNx4oknRo8ePWLHjh31rl+/fn0sX748evToERER7dq1i+rq6nqxsmTJkro/l5WVRfv27eu9pmTnzp3xwgsvNHjOpk2bxs6dOxt8O6AwhAqQE2+99VZcffXVsXz58nj00UdjwoQJcdVVV8WJJ54Yw4YNi9GjR8dvf/vbWLp0aYwYMSKOP/74GDZsWER8/EFt7733XowfPz7eeOONmDRpUvzqV7+qd//f+ta34tZbb40ZM2bE8uXL46qrrooNGzbUe7ppf3Tp0iXmzp0b1dXVsWHDhpztD+SHUAFy4pJLLoktW7ZEv3794oorroirrroqLr/88oj4+F02ffv2ja985SsxYMCAyLIsnnzyybqnaU466aS49957Y9KkSdG7d+9YtGhRfO9736t3/9ddd11cdNFFcckll8SAAQOiZcuWcfbZZ0fz5s0bNOedd94Zs2fPjoqKijjllFNyszyQN0XZnz8xDHAIqK2tjZNOOikuuOCCuPnmmws9DpAn3p4MHBJWrVoVTz31VAwaNCi2bdsWEydOjJUrV8bXv/71Qo8G5JGnfoBDQnFxcUydOjVOO+20OP300+Oll16KOXPmxEknnVTo0YA88tQPAJAsZ1QAgGQJFQAgWUIFAEiWUAEAkiVUAIBkCRUAIFlCBQBIllABAJL1/wOtRJZaj60dfQAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -4278,7 +3964,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 97,
    "id": "9b73ace0-3fd3-468f-aaa2-7d597a7105b6",
    "metadata": {},
    "outputs": [
@@ -4370,7 +4056,7 @@
        "8   6.5   8.5"
       ]
      },
-     "execution_count": 98,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4382,7 +4068,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 98,
    "id": "e619045c-4217-4e03-97f8-0b923931b9a5",
    "metadata": {},
    "outputs": [
@@ -4528,7 +4214,7 @@
        "17  West    8.5"
       ]
      },
-     "execution_count": 99,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4553,14 +4239,6 @@
     "### Data cleaning"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "1cf5a63c-fe20-487c-8981-1457d0f3bf14",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -4583,7 +4261,9 @@
    "metadata": {},
    "source": [
     "## Links\n",
-    "\n"
+    "\n",
+    "\n",
+    "TODO: import from Appendix D"
    ]
   },
   {