diff --git a/src/02b.ipynb b/src/02b.ipynb
index bc26e9b..447e675 100644
--- a/src/02b.ipynb
+++ b/src/02b.ipynb
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "id": "b1c664ab",
    "metadata": {},
    "outputs": [],
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "id": "b53e3b3f",
    "metadata": {
     "scrolled": true
@@ -86,13 +86,64 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "d05752d1",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[['citrus fruit', 'semi-finished bread', 'margarine', 'ready soups'],\n",
+       " ['tropical fruit', 'yogurt', 'coffee'],\n",
+       " ['whole milk'],\n",
+       " ['pip fruit', 'yogurt', 'cream cheese', 'meat spreads'],\n",
+       " ['other vegetables',\n",
+       "  'whole milk',\n",
+       "  'condensed milk',\n",
+       "  'long life bakery product']]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "groceries[:5]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "e3a8e11a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['citrus fruit,semi-finished bread,margarine,ready soups',\n",
+       " 'tropical fruit,yogurt,coffee',\n",
+       " 'whole milk',\n",
+       " 'pip fruit,yogurt,cream cheese,meat spreads',\n",
+       " 'other vegetables,whole milk,condensed milk,long life bakery product']"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "groceries2 = []\n",
+    "with open('groceries.csv', 'r') as csvfile:\n",
+    "    #csv_reader = reader(csvfile)\n",
+    "    for row in csvfile:\n",
+    "        groceries2.append(row.strip())\n",
+    "\n",
+    "groceries2[:5]"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -112,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "id": "e53e450e",
    "metadata": {},
    "outputs": [],
@@ -130,11 +181,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "id": "99669672",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "encoder = TransactionEncoder()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -146,11 +199,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "id": "9019f8e9",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[False, False, False, ..., False, False, False],\n",
+       "       [False, False, False, ..., False,  True, False],\n",
+       "       [False, False, False, ...,  True, False, False],\n",
+       "       ...,\n",
+       "       [False, False, False, ..., False,  True, False],\n",
+       "       [False, False, False, ..., False, False, False],\n",
+       "       [False, False, False, ..., False, False, False]])"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "transactions = encoder.fit_transform(groceries)\n",
+    "transactions"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -162,7 +235,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "id": "c5262ae7",
    "metadata": {},
    "outputs": [],
@@ -180,11 +253,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "id": "42ccf29b",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "itemsets = pd.DataFrame(transactions, columns=encoder.columns_)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -196,13 +271,222 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "id": "e83bab97",
    "metadata": {
     "scrolled": false
    },
-   "outputs": [],
-   "source": []
+   "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>abrasive cleaner</th>\n",
+       "      <th>artif. sweetener</th>\n",
+       "      <th>baby cosmetics</th>\n",
+       "      <th>baby food</th>\n",
+       "      <th>bags</th>\n",
+       "      <th>baking powder</th>\n",
+       "      <th>bathroom cleaner</th>\n",
+       "      <th>beef</th>\n",
+       "      <th>berries</th>\n",
+       "      <th>beverages</th>\n",
+       "      <th>...</th>\n",
+       "      <th>uht-milk</th>\n",
+       "      <th>vinegar</th>\n",
+       "      <th>waffles</th>\n",
+       "      <th>whipped/sour cream</th>\n",
+       "      <th>whisky</th>\n",
+       "      <th>white bread</th>\n",
+       "      <th>white wine</th>\n",
+       "      <th>whole milk</th>\n",
+       "      <th>yogurt</th>\n",
+       "      <th>zwieback</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 169 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   abrasive cleaner  artif. sweetener  baby cosmetics  baby food   bags  \\\n",
+       "0             False             False           False      False  False   \n",
+       "1             False             False           False      False  False   \n",
+       "2             False             False           False      False  False   \n",
+       "3             False             False           False      False  False   \n",
+       "4             False             False           False      False  False   \n",
+       "\n",
+       "   baking powder  bathroom cleaner   beef  berries  beverages  ...  uht-milk  \\\n",
+       "0          False             False  False    False      False  ...     False   \n",
+       "1          False             False  False    False      False  ...     False   \n",
+       "2          False             False  False    False      False  ...     False   \n",
+       "3          False             False  False    False      False  ...     False   \n",
+       "4          False             False  False    False      False  ...     False   \n",
+       "\n",
+       "   vinegar  waffles  whipped/sour cream  whisky  white bread  white wine  \\\n",
+       "0    False    False               False   False        False       False   \n",
+       "1    False    False               False   False        False       False   \n",
+       "2    False    False               False   False        False       False   \n",
+       "3    False    False               False   False        False       False   \n",
+       "4    False    False               False   False        False       False   \n",
+       "\n",
+       "   whole milk  yogurt  zwieback  \n",
+       "0       False   False     False  \n",
+       "1       False    True     False  \n",
+       "2        True   False     False  \n",
+       "3       False    True     False  \n",
+       "4        True   False     False  \n",
+       "\n",
+       "[5 rows x 169 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "itemsets.head()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -214,13 +498,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "92c5e631",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 9835 entries, 0 to 9834\n",
+      "Columns: 169 entries, abrasive cleaner to zwieback\n",
+      "dtypes: bool(169)\n",
+      "memory usage: 1.6 MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "itemsets.info()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -248,11 +546,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "947456f2",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "from mlxtend.frequent_patterns import apriori"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -266,11 +566,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "id": "3db7d690",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "frequent_itemsets = apriori(itemsets, min_support=0.015, use_colnames=True)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -282,13 +584,123 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "id": "046f5901",
    "metadata": {
     "scrolled": false
    },
-   "outputs": [],
-   "source": []
+   "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>support</th>\n",
+       "      <th>itemsets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.017692</td>\n",
+       "      <td>(baking powder)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.052466</td>\n",
+       "      <td>(beef)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.033249</td>\n",
+       "      <td>(berries)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.026029</td>\n",
+       "      <td>(beverages)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.080529</td>\n",
+       "      <td>(bottled beer)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>0.023183</td>\n",
+       "      <td>(root vegetables, other vegetables, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>0.017082</td>\n",
+       "      <td>(other vegetables, tropical fruit, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>0.022267</td>\n",
+       "      <td>(other vegetables, yogurt, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>178</th>\n",
+       "      <td>0.015557</td>\n",
+       "      <td>(rolls/buns, whole milk, yogurt)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>0.015150</td>\n",
+       "      <td>(yogurt, tropical fruit, whole milk)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>180 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      support                                         itemsets\n",
+       "0    0.017692                                  (baking powder)\n",
+       "1    0.052466                                           (beef)\n",
+       "2    0.033249                                        (berries)\n",
+       "3    0.026029                                      (beverages)\n",
+       "4    0.080529                                   (bottled beer)\n",
+       "..        ...                                              ...\n",
+       "175  0.023183  (root vegetables, other vegetables, whole milk)\n",
+       "176  0.017082   (other vegetables, tropical fruit, whole milk)\n",
+       "177  0.022267           (other vegetables, yogurt, whole milk)\n",
+       "178  0.015557                 (rolls/buns, whole milk, yogurt)\n",
+       "179  0.015150             (yogurt, tropical fruit, whole milk)\n",
+       "\n",
+       "[180 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequent_itemsets"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -300,11 +712,121 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "id": "bfba8e98",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>support</th>\n",
+       "      <th>itemsets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>0.255516</td>\n",
+       "      <td>(whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>44</th>\n",
+       "      <td>0.193493</td>\n",
+       "      <td>(other vegetables)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>0.183935</td>\n",
+       "      <td>(rolls/buns)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>60</th>\n",
+       "      <td>0.174377</td>\n",
+       "      <td>(soda)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>0.139502</td>\n",
+       "      <td>(yogurt)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>163</th>\n",
+       "      <td>0.015252</td>\n",
+       "      <td>(shopping bags, yogurt)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>0.015150</td>\n",
+       "      <td>(yogurt, tropical fruit, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45</th>\n",
+       "      <td>0.015048</td>\n",
+       "      <td>(pasta)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.015048</td>\n",
+       "      <td>(canned fish)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>0.015048</td>\n",
+       "      <td>(whole milk, sugar)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>180 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      support                              itemsets\n",
+       "71   0.255516                          (whole milk)\n",
+       "44   0.193493                    (other vegetables)\n",
+       "53   0.183935                          (rolls/buns)\n",
+       "60   0.174377                                (soda)\n",
+       "72   0.139502                              (yogurt)\n",
+       "..        ...                                   ...\n",
+       "163  0.015252               (shopping bags, yogurt)\n",
+       "179  0.015150  (yogurt, tropical fruit, whole milk)\n",
+       "45   0.015048                               (pasta)\n",
+       "11   0.015048                         (canned fish)\n",
+       "167  0.015048                   (whole milk, sugar)\n",
+       "\n",
+       "[180 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequent_itemsets.sort_values('support', ascending=False)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -318,11 +840,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "id": "48ad4460",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "length = frequent_itemsets['itemsets'].str.len()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -334,13 +858,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "id": "8302997b",
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
-   "source": []
+   "source": [
+    "rows = length > 2"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -352,11 +878,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "id": "be48d27a",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>support</th>\n",
+       "      <th>itemsets</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>174</th>\n",
+       "      <td>0.017895</td>\n",
+       "      <td>(other vegetables, rolls/buns, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>175</th>\n",
+       "      <td>0.023183</td>\n",
+       "      <td>(root vegetables, other vegetables, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>176</th>\n",
+       "      <td>0.017082</td>\n",
+       "      <td>(other vegetables, tropical fruit, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>177</th>\n",
+       "      <td>0.022267</td>\n",
+       "      <td>(other vegetables, yogurt, whole milk)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>178</th>\n",
+       "      <td>0.015557</td>\n",
+       "      <td>(rolls/buns, whole milk, yogurt)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>0.015150</td>\n",
+       "      <td>(yogurt, tropical fruit, whole milk)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      support                                         itemsets\n",
+       "174  0.017895       (other vegetables, rolls/buns, whole milk)\n",
+       "175  0.023183  (root vegetables, other vegetables, whole milk)\n",
+       "176  0.017082   (other vegetables, tropical fruit, whole milk)\n",
+       "177  0.022267           (other vegetables, yogurt, whole milk)\n",
+       "178  0.015557                 (rolls/buns, whole milk, yogurt)\n",
+       "179  0.015150             (yogurt, tropical fruit, whole milk)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequent_itemsets[rows]"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -370,11 +973,112 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "id": "93699e5d",
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>itemsets</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>73.0</td>\n",
+       "      <td>0.053441</td>\n",
+       "      <td>0.045956</td>\n",
+       "      <td>0.015048</td>\n",
+       "      <td>0.024504</td>\n",
+       "      <td>0.037112</td>\n",
+       "      <td>0.064870</td>\n",
+       "      <td>0.255516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>101.0</td>\n",
+       "      <td>0.024799</td>\n",
+       "      <td>0.010058</td>\n",
+       "      <td>0.015048</td>\n",
+       "      <td>0.018404</td>\n",
+       "      <td>0.021047</td>\n",
+       "      <td>0.027555</td>\n",
+       "      <td>0.074835</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>0.018522</td>\n",
+       "      <td>0.003417</td>\n",
+       "      <td>0.015150</td>\n",
+       "      <td>0.015938</td>\n",
+       "      <td>0.017489</td>\n",
+       "      <td>0.021174</td>\n",
+       "      <td>0.023183</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          count      mean       std       min       25%       50%       75%  \\\n",
+       "itemsets                                                                      \n",
+       "1          73.0  0.053441  0.045956  0.015048  0.024504  0.037112  0.064870   \n",
+       "2         101.0  0.024799  0.010058  0.015048  0.018404  0.021047  0.027555   \n",
+       "3           6.0  0.018522  0.003417  0.015150  0.015938  0.017489  0.021174   \n",
+       "\n",
+       "               max  \n",
+       "itemsets            \n",
+       "1         0.255516  \n",
+       "2         0.074835  \n",
+       "3         0.023183  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "frequent_itemsets.groupby(length)['support'].describe()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -755,7 +1459,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -769,11 +1473,11 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.10.4"
   },
   "vscode": {
    "interpreter": {
-    "hash": "4f946df053fbf2b937619d3c5458e7af74262f9a954d8797ba0b27400bcafe06"
+    "hash": "3ad933181bd8a04b432d3370b9dc3b0662ad032c4dfaa4e4f1596c548f763858"
    }
   }
  },