commit c28c2051e769532747f43d2889242afb97be7ed8
Author: Claudio Maggioni (maggicl) <maggicl@usi.ch>
Date:   Mon Feb 15 10:34:20 2021 +0000

    Added machine configuration analysis

diff --git a/machine_configs/.ipynb_checkpoints/machine_configs-checkpoint.ipynb b/machine_configs/.ipynb_checkpoints/machine_configs-checkpoint.ipynb
new file mode 100644
index 00000000..bf43e41b
--- /dev/null
+++ b/machine_configs/.ipynb_checkpoints/machine_configs-checkpoint.ipynb
@@ -0,0 +1,1592 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "built-symbol",
+   "metadata": {},
+   "source": [
+    "# Machine configurations\n",
+    "\n",
+    "This query returns all the distinct NCU/NMU configurations in the borg clusters, including how many machines ids match for any specific configuration.\n",
+    "\n",
+    "Please note that for simplicity's sake the we are technically counting the number of ADD or UPDATE events for each configuration, and not the actual count of machines. Therefore a machine configuration may change over time and count twice or more."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "stuffed-lightning",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# For pretty printing\n",
+    "from IPython.display import display\n",
+    "\n",
+    "# Disables row ellipsis\n",
+    "pd.set_option('display.max_rows', 200)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "upper-lloyd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load all machine event rows in a single DataFrame, and add a \"cluster\" column to differentiate\n",
+    "# between clusters\n",
+    "df = None\n",
+    "for l in \"abcdefgh\":\n",
+    "    dfl = pd.read_csv(\"~/google_2019/machine_events/\" + l + \"_machine_events.csv\")\n",
+    "    dfl[\"cluster\"] = l\n",
+    "    if df is None:\n",
+    "        df = dfl\n",
+    "    else:\n",
+    "        df = pd.concat([df, dfl], axis=0)\n",
+    "\n",
+    "# Filter only ADD or UPDATE events\n",
+    "df = df[(df.type==1)|(df.type==3)]\n",
+    "\n",
+    "# P.S: ADD=1, REMOVE=2, UPDATE=3\n",
+    "        \n",
+    "df = df[[\"capacity.cpus\", \"capacity.memory\", \"cluster\", \n",
+    "         \"missing_data_reason\", \"machine_id\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "presidential-farmer",
+   "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>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th>cluster</th>\n",
+       "      <th>machine_id</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>missing_data_reason</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <td>523781</td>\n",
+       "      <td>523781</td>\n",
+       "      <td>532510</td>\n",
+       "      <td>532510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     capacity.cpus  capacity.memory  cluster  machine_id\n",
+       "missing_data_reason                                                     \n",
+       "NaN                         523781           523781   532510      532510"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking if we need to deal with particular missing data\n",
+    "# No columns returned, so missing data can be safely ignored\n",
+    "df.groupby(by=[\"missing_data_reason\"], dropna=False).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "informative-vietnam",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def do_group_by(df):\n",
+    "    # Exclude \"cluster\" column and perform group-by\n",
+    "    dfg = df[df.columns.difference(['cluster'])]. \\\n",
+    "          groupby(by=[\"capacity.cpus\",\"capacity.memory\"], \n",
+    "        dropna=False).count()\n",
+    "    \n",
+    "    # Compute relative number of machines\n",
+    "    total_machines = dfg['machine_id'].sum()\n",
+    "    dfg[\"machine_id_perc\"] = dfg[\"machine_id\"] * 100 / total_machines\n",
+    "    \n",
+    "    # Sort descending\n",
+    "    dfg = dfg.sort_values(\"machine_id_perc\", ascending=False)\n",
+    "    \n",
+    "    display(dfg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "pretty-taiwan",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster a:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>29487</td>\n",
+       "      <td>34.758469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>13440</td>\n",
+       "      <td>15.842705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>12495</td>\n",
+       "      <td>14.728764</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>9057</td>\n",
+       "      <td>10.676144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>5265</td>\n",
+       "      <td>6.206238</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4608</td>\n",
+       "      <td>5.431784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>4446</td>\n",
+       "      <td>5.240823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2484</td>\n",
+       "      <td>2.928071</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1377</td>\n",
+       "      <td>1.623170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>1143</td>\n",
+       "      <td>1.347337</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>654</td>\n",
+       "      <td>0.770917</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>366</td>\n",
+       "      <td>0.431431</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.007073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.007073</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              29487        34.758469\n",
+       "1.000000      0.500000              13440        15.842705\n",
+       "0.708984      0.333496              12495        14.728764\n",
+       "0.386719      0.333496               9057        10.676144\n",
+       "              0.166748               5265         6.206238\n",
+       "0.708984      0.666992               4608         5.431784\n",
+       "1.000000      1.000000               4446         5.240823\n",
+       "0.591797      0.166748               2484         2.928071\n",
+       "NaN           NaN                    1377         1.623170\n",
+       "0.958984      0.500000               1143         1.347337\n",
+       "              1.000000                654         0.770917\n",
+       "1.000000      0.250000                366         0.431431\n",
+       "0.479492      0.250000                  6         0.007073\n",
+       "0.708984      0.250000                  6         0.007073"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster b:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
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+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>16184</td>\n",
+       "      <td>31.982926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>9790</td>\n",
+       "      <td>19.347061</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
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+       "      <td>8448</td>\n",
+       "      <td>16.694992</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>5502</td>\n",
+       "      <td>10.873088</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>3832</td>\n",
+       "      <td>7.572823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>2214</td>\n",
+       "      <td>4.375321</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2152</td>\n",
+       "      <td>4.252796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>816</td>\n",
+       "      <td>1.612584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>618</td>\n",
+       "      <td>1.221296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>500</td>\n",
+       "      <td>0.988103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>412</td>\n",
+       "      <td>0.814197</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>134</td>\n",
+       "      <td>0.264812</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              16184        31.982926\n",
+       "1.000000      0.500000               9790        19.347061\n",
+       "0.708984      0.333496               8448        16.694992\n",
+       "0.958984      0.500000               5502        10.873088\n",
+       "0.708984      0.666992               3832         7.572823\n",
+       "1.000000      1.000000               2214         4.375321\n",
+       "0.591797      0.166748               2152         4.252796\n",
+       "0.386719      0.333496                816         1.612584\n",
+       "0.958984      1.000000                618         1.221296\n",
+       "0.591797      0.666992                500         0.988103\n",
+       "0.386719      0.166748                412         0.814197\n",
+       "NaN           NaN                     134         0.264812"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster c:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
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+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
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+       "      <td>15754</td>\n",
+       "      <td>24.439204</td>\n",
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+       "      <th>0.386719</th>\n",
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+       "      <td>11104</td>\n",
+       "      <td>17.225652</td>\n",
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+       "      <th>0.591797</th>\n",
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+       "      <td>10404</td>\n",
+       "      <td>16.139741</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>6634</td>\n",
+       "      <td>10.291334</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>5654</td>\n",
+       "      <td>8.771059</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
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+       "      <td>3580</td>\n",
+       "      <td>5.553660</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>2900</td>\n",
+       "      <td>4.498774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>2736</td>\n",
+       "      <td>4.244361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>2132</td>\n",
+       "      <td>3.307375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1466</td>\n",
+       "      <td>2.274208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>766</td>\n",
+       "      <td>1.188297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>620</td>\n",
+       "      <td>0.961807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>600</td>\n",
+       "      <td>0.930781</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>112</td>\n",
+       "      <td>0.173746</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              15754        24.439204\n",
+       "0.386719      0.333496              11104        17.225652\n",
+       "0.591797      0.333496              10404        16.139741\n",
+       "0.958984      0.500000               6634        10.291334\n",
+       "1.000000      0.500000               5654         8.771059\n",
+       "0.386719      0.166748               3580         5.553660\n",
+       "0.708984      0.666992               2900         4.498774\n",
+       "1.000000      1.000000               2736         4.244361\n",
+       "              0.250000               2132         3.307375\n",
+       "NaN           NaN                    1466         2.274208\n",
+       "0.958984      1.000000                766         1.188297\n",
+       "0.708984      0.333496                620         0.961807\n",
+       "0.958984      0.250000                600         0.930781\n",
+       "0.591797      0.166748                112         0.173746"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster d:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
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+       "      <th>0.591797</th>\n",
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+       "      <td>28394</td>\n",
+       "      <td>45.288376</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>8402</td>\n",
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+       "      <th>0.259277</th>\n",
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+       "      <td>8020</td>\n",
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+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>5806</td>\n",
+       "      <td>9.260559</td>\n",
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+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4380</td>\n",
+       "      <td>6.986092</td>\n",
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+       "    <tr>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3924</td>\n",
+       "      <td>6.258772</td>\n",
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+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2548</td>\n",
+       "      <td>4.064055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>498</td>\n",
+       "      <td>0.794309</td>\n",
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+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>426</td>\n",
+       "      <td>0.679469</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>292</td>\n",
+       "      <td>0.465739</td>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.006380</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.003190</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              28394        45.288376\n",
+       "0.386719      0.333496               8402        13.401174\n",
+       "0.259277      0.166748               8020        12.791885\n",
+       "0.386719      0.166748               5806         9.260559\n",
+       "0.708984      0.666992               4380         6.986092\n",
+       "              0.333496               3924         6.258772\n",
+       "0.591797      0.166748               2548         4.064055\n",
+       "NaN           NaN                     498         0.794309\n",
+       "0.259277      0.333496                426         0.679469\n",
+       "1.000000      0.500000                292         0.465739\n",
+       "0.591797      0.250000                  4         0.006380\n",
+       "0.708984      0.500000                  2         0.003190"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster e:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "<style scoped>\n",
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+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
+       "      <th></th>\n",
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+       "      <th>0.708984</th>\n",
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+       "      <th>0.708984</th>\n",
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+       "      <td>7606</td>\n",
+       "      <td>9.534674</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
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+       "      <th rowspan=\"2\" valign=\"top\">0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>1268</td>\n",
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+       "    <tr>\n",
+       "      <th>0.083374</th>\n",
+       "      <td>634</td>\n",
+       "      <td>0.794765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>536</td>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>324</td>\n",
+       "      <td>0.406158</td>\n",
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+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>268</td>\n",
+       "      <td>0.335957</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>138</td>\n",
+       "      <td>0.172993</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.500000</th>\n",
+       "      <th>0.062500</th>\n",
+       "      <td>54</td>\n",
+       "      <td>0.067693</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.005014</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              38452        48.202377\n",
+       "0.708984      0.333496              11786        14.774608\n",
+       "0.958984      0.500000               8646        10.838389\n",
+       "0.708984      0.666992               7606         9.534674\n",
+       "1.000000      0.500000               5586         7.002457\n",
+       "0.386719      0.166748               4470         5.603470\n",
+       "0.259277      0.333496               1268         1.589530\n",
+       "              0.083374                634         0.794765\n",
+       "NaN           NaN                     536         0.671915\n",
+       "0.591797      0.333496                324         0.406158\n",
+       "1.000000      0.250000                268         0.335957\n",
+       "              1.000000                138         0.172993\n",
+       "0.500000      0.062500                 54         0.067693\n",
+       "              0.250000                  4         0.005014"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster f:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "      <th></th>\n",
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+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
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+       "      <td>41340</td>\n",
+       "      <td>66.396839</td>\n",
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+       "      <th>0.708984</th>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
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+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2172</td>\n",
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+       "      <th>0.386719</th>\n",
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+       "      <td>1544</td>\n",
+       "      <td>2.479843</td>\n",
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+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1432</td>\n",
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+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>1244</td>\n",
+       "      <td>1.998008</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>792</td>\n",
+       "      <td>1.272044</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>536</td>\n",
+       "      <td>0.860878</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>398</td>\n",
+       "      <td>0.639234</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>344</td>\n",
+       "      <td>0.552504</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>18</td>\n",
+       "      <td>0.028910</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000              41340        66.396839\n",
+       "0.708984      0.333496               6878        11.046866\n",
+       "0.591797      0.333496               5564         8.936430\n",
+       "0.958984      0.500000               2172         3.488484\n",
+       "0.386719      0.166748               1544         2.479843\n",
+       "NaN           NaN                    1432         2.299958\n",
+       "0.708984      0.666992               1244         1.998008\n",
+       "1.000000      0.250000                792         1.272044\n",
+       "0.958984      1.000000                536         0.860878\n",
+       "0.386719      0.333496                398         0.639234\n",
+       "1.000000      1.000000                344         0.552504\n",
+       "0.500000      0.250000                 18         0.028910"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster g:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
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+       "      <td>22.892958</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>11808</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>7968</td>\n",
+       "      <td>11.507134</td>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>7830</td>\n",
+       "      <td>11.307839</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>4690</td>\n",
+       "      <td>6.773150</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4258</td>\n",
+       "      <td>6.149269</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>4196</td>\n",
+       "      <td>6.059731</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3864</td>\n",
+       "      <td>5.580267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2606</td>\n",
+       "      <td>3.763503</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>2100</td>\n",
+       "      <td>3.032754</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1566</td>\n",
+       "      <td>2.261568</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>1330</td>\n",
+       "      <td>1.920744</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>778</td>\n",
+       "      <td>1.123563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>378</td>\n",
+       "      <td>0.545896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>12</td>\n",
+       "      <td>0.017330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.008665</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.002888</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              15852        22.892958\n",
+       "1.000000      0.500000              11808        17.052741\n",
+       "0.708984      0.333496               7968        11.507134\n",
+       "0.591797      0.333496               7830        11.307839\n",
+       "0.386719      0.166748               4690         6.773150\n",
+       "0.708984      0.666992               4258         6.149269\n",
+       "0.958984      0.500000               4196         6.059731\n",
+       "0.386719      0.333496               3864         5.580267\n",
+       "0.591797      0.166748               2606         3.763503\n",
+       "1.000000      0.250000               2100         3.032754\n",
+       "NaN           NaN                    1566         2.261568\n",
+       "0.259277      0.333496               1330         1.920744\n",
+       "0.958984      1.000000                778         1.123563\n",
+       "1.000000      1.000000                378         0.545896\n",
+       "0.500000      0.250000                 12         0.017330\n",
+       "0.479492      0.250000                  6         0.008665\n",
+       "              0.500000                  2         0.002888"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster h:\n",
+      "\n"
+     ]
+    },
+    {
+     "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></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>36324</td>\n",
+       "      <td>61.946178</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>4826</td>\n",
+       "      <td>8.230158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3682</td>\n",
+       "      <td>6.279205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2858</td>\n",
+       "      <td>4.873973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>2596</td>\n",
+       "      <td>4.427163</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>3.461919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>1892</td>\n",
+       "      <td>3.226577</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1720</td>\n",
+       "      <td>2.933251</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>1244</td>\n",
+       "      <td>2.121491</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>766</td>\n",
+       "      <td>1.306320</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>500</td>\n",
+       "      <td>0.852689</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>200</td>\n",
+       "      <td>0.341076</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000              36324        61.946178\n",
+       "0.591797      0.333496               4826         8.230158\n",
+       "0.708984      0.333496               3682         6.279205\n",
+       "0.958984      0.500000               2858         4.873973\n",
+       "0.386719      0.333496               2596         4.427163\n",
+       "1.000000      1.000000               2030         3.461919\n",
+       "              0.250000               1892         3.226577\n",
+       "NaN           NaN                    1720         2.933251\n",
+       "0.386719      0.166748               1244         2.121491\n",
+       "0.708984      0.666992                766         1.306320\n",
+       "0.591797      0.666992                500         0.852689\n",
+       "0.958984      1.000000                200         0.341076"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " For all clusters:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\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></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>124234</td>\n",
+       "      <td>23.329891</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>103013</td>\n",
+       "      <td>19.344801</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>78078</td>\n",
+       "      <td>14.662260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>55801</td>\n",
+       "      <td>10.478864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>36237</td>\n",
+       "      <td>6.804943</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>31151</td>\n",
+       "      <td>5.849843</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>29594</td>\n",
+       "      <td>5.557454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>27011</td>\n",
+       "      <td>5.072393</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>12286</td>\n",
+       "      <td>2.307187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>9902</td>\n",
+       "      <td>1.859496</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>8729</td>\n",
+       "      <td>1.639218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>7550</td>\n",
+       "      <td>1.417814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>3552</td>\n",
+       "      <td>0.667030</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3024</td>\n",
+       "      <td>0.567877</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.187790</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.083374</th>\n",
+       "      <td>634</td>\n",
+       "      <td>0.119059</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>600</td>\n",
+       "      <td>0.112674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.500000</th>\n",
+       "      <th>0.062500</th>\n",
+       "      <td>54</td>\n",
+       "      <td>0.010141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>34</td>\n",
+       "      <td>0.006385</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>12</td>\n",
+       "      <td>0.002253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.001127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.000751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000376</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000376</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000             124234        23.329891\n",
+       "0.591797      0.333496             103013        19.344801\n",
+       "0.259277      0.166748              78078        14.662260\n",
+       "0.708984      0.333496              55801        10.478864\n",
+       "0.386719      0.333496              36237         6.804943\n",
+       "0.958984      0.500000              31151         5.849843\n",
+       "0.708984      0.666992              29594         5.557454\n",
+       "0.386719      0.166748              27011         5.072393\n",
+       "1.000000      1.000000              12286         2.307187\n",
+       "0.591797      0.166748               9902         1.859496\n",
+       "NaN           NaN                    8729         1.639218\n",
+       "1.000000      0.250000               7550         1.417814\n",
+       "0.958984      1.000000               3552         0.667030\n",
+       "0.259277      0.333496               3024         0.567877\n",
+       "0.591797      0.666992               1000         0.187790\n",
+       "0.259277      0.083374                634         0.119059\n",
+       "0.958984      0.250000                600         0.112674\n",
+       "0.500000      0.062500                 54         0.010141\n",
+       "              0.250000                 34         0.006385\n",
+       "0.479492      0.250000                 12         0.002253\n",
+       "0.708984      0.250000                  6         0.001127\n",
+       "0.591797      0.250000                  4         0.000751\n",
+       "0.708984      0.500000                  2         0.000376\n",
+       "0.479492      0.500000                  2         0.000376"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate machine configurations table per cluster + a global table\n",
+    "\n",
+    "df = df[df.columns.difference(['missing_data_reason'])]\n",
+    "\n",
+    "for l in \"abcdefgh\":\n",
+    "    print(\"\\nFor cluster \" + l + \":\\n\")\n",
+    "    do_group_by(df[df.cluster==l])\n",
+    "\n",
+    "print(\"\\n For all clusters:\")\n",
+    "do_group_by(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "supreme-hepatitis",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/machine_configs/machine_configs.ipynb b/machine_configs/machine_configs.ipynb
new file mode 100644
index 00000000..bf43e41b
--- /dev/null
+++ b/machine_configs/machine_configs.ipynb
@@ -0,0 +1,1592 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "built-symbol",
+   "metadata": {},
+   "source": [
+    "# Machine configurations\n",
+    "\n",
+    "This query returns all the distinct NCU/NMU configurations in the borg clusters, including how many machines ids match for any specific configuration.\n",
+    "\n",
+    "Please note that for simplicity's sake the we are technically counting the number of ADD or UPDATE events for each configuration, and not the actual count of machines. Therefore a machine configuration may change over time and count twice or more."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "stuffed-lightning",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# For pretty printing\n",
+    "from IPython.display import display\n",
+    "\n",
+    "# Disables row ellipsis\n",
+    "pd.set_option('display.max_rows', 200)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "upper-lloyd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load all machine event rows in a single DataFrame, and add a \"cluster\" column to differentiate\n",
+    "# between clusters\n",
+    "df = None\n",
+    "for l in \"abcdefgh\":\n",
+    "    dfl = pd.read_csv(\"~/google_2019/machine_events/\" + l + \"_machine_events.csv\")\n",
+    "    dfl[\"cluster\"] = l\n",
+    "    if df is None:\n",
+    "        df = dfl\n",
+    "    else:\n",
+    "        df = pd.concat([df, dfl], axis=0)\n",
+    "\n",
+    "# Filter only ADD or UPDATE events\n",
+    "df = df[(df.type==1)|(df.type==3)]\n",
+    "\n",
+    "# P.S: ADD=1, REMOVE=2, UPDATE=3\n",
+    "        \n",
+    "df = df[[\"capacity.cpus\", \"capacity.memory\", \"cluster\", \n",
+    "         \"missing_data_reason\", \"machine_id\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "presidential-farmer",
+   "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>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th>cluster</th>\n",
+       "      <th>machine_id</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>missing_data_reason</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <td>523781</td>\n",
+       "      <td>523781</td>\n",
+       "      <td>532510</td>\n",
+       "      <td>532510</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     capacity.cpus  capacity.memory  cluster  machine_id\n",
+       "missing_data_reason                                                     \n",
+       "NaN                         523781           523781   532510      532510"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking if we need to deal with particular missing data\n",
+    "# No columns returned, so missing data can be safely ignored\n",
+    "df.groupby(by=[\"missing_data_reason\"], dropna=False).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "informative-vietnam",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def do_group_by(df):\n",
+    "    # Exclude \"cluster\" column and perform group-by\n",
+    "    dfg = df[df.columns.difference(['cluster'])]. \\\n",
+    "          groupby(by=[\"capacity.cpus\",\"capacity.memory\"], \n",
+    "        dropna=False).count()\n",
+    "    \n",
+    "    # Compute relative number of machines\n",
+    "    total_machines = dfg['machine_id'].sum()\n",
+    "    dfg[\"machine_id_perc\"] = dfg[\"machine_id\"] * 100 / total_machines\n",
+    "    \n",
+    "    # Sort descending\n",
+    "    dfg = dfg.sort_values(\"machine_id_perc\", ascending=False)\n",
+    "    \n",
+    "    display(dfg)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "pretty-taiwan",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster a:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\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></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>29487</td>\n",
+       "      <td>34.758469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>13440</td>\n",
+       "      <td>15.842705</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>12495</td>\n",
+       "      <td>14.728764</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>9057</td>\n",
+       "      <td>10.676144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>5265</td>\n",
+       "      <td>6.206238</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4608</td>\n",
+       "      <td>5.431784</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>4446</td>\n",
+       "      <td>5.240823</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2484</td>\n",
+       "      <td>2.928071</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1377</td>\n",
+       "      <td>1.623170</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>1143</td>\n",
+       "      <td>1.347337</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>654</td>\n",
+       "      <td>0.770917</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>366</td>\n",
+       "      <td>0.431431</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.007073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.007073</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              29487        34.758469\n",
+       "1.000000      0.500000              13440        15.842705\n",
+       "0.708984      0.333496              12495        14.728764\n",
+       "0.386719      0.333496               9057        10.676144\n",
+       "              0.166748               5265         6.206238\n",
+       "0.708984      0.666992               4608         5.431784\n",
+       "1.000000      1.000000               4446         5.240823\n",
+       "0.591797      0.166748               2484         2.928071\n",
+       "NaN           NaN                    1377         1.623170\n",
+       "0.958984      0.500000               1143         1.347337\n",
+       "              1.000000                654         0.770917\n",
+       "1.000000      0.250000                366         0.431431\n",
+       "0.479492      0.250000                  6         0.007073\n",
+       "0.708984      0.250000                  6         0.007073"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster b:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>16184</td>\n",
+       "      <td>31.982926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>9790</td>\n",
+       "      <td>19.347061</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
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+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>3832</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2152</td>\n",
+       "      <td>4.252796</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>816</td>\n",
+       "      <td>1.612584</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>618</td>\n",
+       "      <td>1.221296</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>500</td>\n",
+       "      <td>0.988103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>412</td>\n",
+       "      <td>0.814197</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>134</td>\n",
+       "      <td>0.264812</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              16184        31.982926\n",
+       "1.000000      0.500000               9790        19.347061\n",
+       "0.708984      0.333496               8448        16.694992\n",
+       "0.958984      0.500000               5502        10.873088\n",
+       "0.708984      0.666992               3832         7.572823\n",
+       "1.000000      1.000000               2214         4.375321\n",
+       "0.591797      0.166748               2152         4.252796\n",
+       "0.386719      0.333496                816         1.612584\n",
+       "0.958984      1.000000                618         1.221296\n",
+       "0.591797      0.666992                500         0.988103\n",
+       "0.386719      0.166748                412         0.814197\n",
+       "NaN           NaN                     134         0.264812"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster c:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>15754</td>\n",
+       "      <td>24.439204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>11104</td>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>10404</td>\n",
+       "      <td>16.139741</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>6634</td>\n",
+       "      <td>10.291334</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>5654</td>\n",
+       "      <td>8.771059</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
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+       "      <td>3580</td>\n",
+       "      <td>5.553660</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>2900</td>\n",
+       "      <td>4.498774</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>2736</td>\n",
+       "      <td>4.244361</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>2132</td>\n",
+       "      <td>3.307375</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1466</td>\n",
+       "      <td>2.274208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>766</td>\n",
+       "      <td>1.188297</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>620</td>\n",
+       "      <td>0.961807</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>600</td>\n",
+       "      <td>0.930781</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>112</td>\n",
+       "      <td>0.173746</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              15754        24.439204\n",
+       "0.386719      0.333496              11104        17.225652\n",
+       "0.591797      0.333496              10404        16.139741\n",
+       "0.958984      0.500000               6634        10.291334\n",
+       "1.000000      0.500000               5654         8.771059\n",
+       "0.386719      0.166748               3580         5.553660\n",
+       "0.708984      0.666992               2900         4.498774\n",
+       "1.000000      1.000000               2736         4.244361\n",
+       "              0.250000               2132         3.307375\n",
+       "NaN           NaN                    1466         2.274208\n",
+       "0.958984      1.000000                766         1.188297\n",
+       "0.708984      0.333496                620         0.961807\n",
+       "0.958984      0.250000                600         0.930781\n",
+       "0.591797      0.166748                112         0.173746"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster d:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
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+       "  <thead>\n",
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+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
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+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
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+       "      <td>45.288376</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
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+       "      <td>8402</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>8020</td>\n",
+       "      <td>12.791885</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>5806</td>\n",
+       "      <td>9.260559</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4380</td>\n",
+       "      <td>6.986092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3924</td>\n",
+       "      <td>6.258772</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2548</td>\n",
+       "      <td>4.064055</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>498</td>\n",
+       "      <td>0.794309</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>426</td>\n",
+       "      <td>0.679469</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>292</td>\n",
+       "      <td>0.465739</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.006380</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.003190</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.591797      0.333496              28394        45.288376\n",
+       "0.386719      0.333496               8402        13.401174\n",
+       "0.259277      0.166748               8020        12.791885\n",
+       "0.386719      0.166748               5806         9.260559\n",
+       "0.708984      0.666992               4380         6.986092\n",
+       "              0.333496               3924         6.258772\n",
+       "0.591797      0.166748               2548         4.064055\n",
+       "NaN           NaN                     498         0.794309\n",
+       "0.259277      0.333496                426         0.679469\n",
+       "1.000000      0.500000                292         0.465739\n",
+       "0.591797      0.250000                  4         0.006380\n",
+       "0.708984      0.500000                  2         0.003190"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster e:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "    <tr>\n",
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+       "      <td>7606</td>\n",
+       "      <td>9.534674</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>5586</td>\n",
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+       "      <th rowspan=\"2\" valign=\"top\">0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>1268</td>\n",
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+       "    <tr>\n",
+       "      <th>0.083374</th>\n",
+       "      <td>634</td>\n",
+       "      <td>0.794765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>536</td>\n",
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+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>138</td>\n",
+       "      <td>0.172993</td>\n",
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+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.500000</th>\n",
+       "      <th>0.062500</th>\n",
+       "      <td>54</td>\n",
+       "      <td>0.067693</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.005014</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              38452        48.202377\n",
+       "0.708984      0.333496              11786        14.774608\n",
+       "0.958984      0.500000               8646        10.838389\n",
+       "0.708984      0.666992               7606         9.534674\n",
+       "1.000000      0.500000               5586         7.002457\n",
+       "0.386719      0.166748               4470         5.603470\n",
+       "0.259277      0.333496               1268         1.589530\n",
+       "              0.083374                634         0.794765\n",
+       "NaN           NaN                     536         0.671915\n",
+       "0.591797      0.333496                324         0.406158\n",
+       "1.000000      0.250000                268         0.335957\n",
+       "              1.000000                138         0.172993\n",
+       "0.500000      0.062500                 54         0.067693\n",
+       "              0.250000                  4         0.005014"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster f:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
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+       "      <th>1.000000</th>\n",
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+       "      <th>0.386719</th>\n",
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+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
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+       "      <th>0.708984</th>\n",
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+       "      <td>1244</td>\n",
+       "      <td>1.998008</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>792</td>\n",
+       "      <td>1.272044</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>536</td>\n",
+       "      <td>0.860878</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>398</td>\n",
+       "      <td>0.639234</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
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+       "      <td>0.552504</td>\n",
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+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>18</td>\n",
+       "      <td>0.028910</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000              41340        66.396839\n",
+       "0.708984      0.333496               6878        11.046866\n",
+       "0.591797      0.333496               5564         8.936430\n",
+       "0.958984      0.500000               2172         3.488484\n",
+       "0.386719      0.166748               1544         2.479843\n",
+       "NaN           NaN                    1432         2.299958\n",
+       "0.708984      0.666992               1244         1.998008\n",
+       "1.000000      0.250000                792         1.272044\n",
+       "0.958984      1.000000                536         0.860878\n",
+       "0.386719      0.333496                398         0.639234\n",
+       "1.000000      1.000000                344         0.552504\n",
+       "0.500000      0.250000                 18         0.028910"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster g:\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
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+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
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+       "      <th></th>\n",
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+       "      <th>0.708984</th>\n",
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+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>7830</td>\n",
+       "      <td>11.307839</td>\n",
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+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>4690</td>\n",
+       "      <td>6.773150</td>\n",
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+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>4258</td>\n",
+       "      <td>6.149269</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>4196</td>\n",
+       "      <td>6.059731</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3864</td>\n",
+       "      <td>5.580267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>2606</td>\n",
+       "      <td>3.763503</td>\n",
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+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>2100</td>\n",
+       "      <td>3.032754</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1566</td>\n",
+       "      <td>2.261568</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>1330</td>\n",
+       "      <td>1.920744</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>778</td>\n",
+       "      <td>1.123563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>378</td>\n",
+       "      <td>0.545896</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>12</td>\n",
+       "      <td>0.017330</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.008665</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.002888</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "0.259277      0.166748              15852        22.892958\n",
+       "1.000000      0.500000              11808        17.052741\n",
+       "0.708984      0.333496               7968        11.507134\n",
+       "0.591797      0.333496               7830        11.307839\n",
+       "0.386719      0.166748               4690         6.773150\n",
+       "0.708984      0.666992               4258         6.149269\n",
+       "0.958984      0.500000               4196         6.059731\n",
+       "0.386719      0.333496               3864         5.580267\n",
+       "0.591797      0.166748               2606         3.763503\n",
+       "1.000000      0.250000               2100         3.032754\n",
+       "NaN           NaN                    1566         2.261568\n",
+       "0.259277      0.333496               1330         1.920744\n",
+       "0.958984      1.000000                778         1.123563\n",
+       "1.000000      1.000000                378         0.545896\n",
+       "0.500000      0.250000                 12         0.017330\n",
+       "0.479492      0.250000                  6         0.008665\n",
+       "              0.500000                  2         0.002888"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "For cluster h:\n",
+      "\n"
+     ]
+    },
+    {
+     "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></th>\n",
+       "      <th></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>36324</td>\n",
+       "      <td>61.946178</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>4826</td>\n",
+       "      <td>8.230158</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3682</td>\n",
+       "      <td>6.279205</td>\n",
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+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2858</td>\n",
+       "      <td>4.873973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>2596</td>\n",
+       "      <td>4.427163</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>2030</td>\n",
+       "      <td>3.461919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>1892</td>\n",
+       "      <td>3.226577</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>1720</td>\n",
+       "      <td>2.933251</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>1244</td>\n",
+       "      <td>2.121491</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>766</td>\n",
+       "      <td>1.306320</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>500</td>\n",
+       "      <td>0.852689</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>200</td>\n",
+       "      <td>0.341076</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000              36324        61.946178\n",
+       "0.591797      0.333496               4826         8.230158\n",
+       "0.708984      0.333496               3682         6.279205\n",
+       "0.958984      0.500000               2858         4.873973\n",
+       "0.386719      0.333496               2596         4.427163\n",
+       "1.000000      1.000000               2030         3.461919\n",
+       "              0.250000               1892         3.226577\n",
+       "NaN           NaN                    1720         2.933251\n",
+       "0.386719      0.166748               1244         2.121491\n",
+       "0.708984      0.666992                766         1.306320\n",
+       "0.591797      0.666992                500         0.852689\n",
+       "0.958984      1.000000                200         0.341076"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      " For all clusters:\n"
+     ]
+    },
+    {
+     "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",
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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></th>\n",
+       "      <th>machine_id</th>\n",
+       "      <th>machine_id_perc</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>capacity.cpus</th>\n",
+       "      <th>capacity.memory</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>124234</td>\n",
+       "      <td>23.329891</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>103013</td>\n",
+       "      <td>19.344801</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>78078</td>\n",
+       "      <td>14.662260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>55801</td>\n",
+       "      <td>10.478864</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>36237</td>\n",
+       "      <td>6.804943</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>31151</td>\n",
+       "      <td>5.849843</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>29594</td>\n",
+       "      <td>5.557454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.386719</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>27011</td>\n",
+       "      <td>5.072393</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>12286</td>\n",
+       "      <td>2.307187</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.166748</th>\n",
+       "      <td>9902</td>\n",
+       "      <td>1.859496</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>NaN</th>\n",
+       "      <th>NaN</th>\n",
+       "      <td>8729</td>\n",
+       "      <td>1.639218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1.000000</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>7550</td>\n",
+       "      <td>1.417814</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>1.000000</th>\n",
+       "      <td>3552</td>\n",
+       "      <td>0.667030</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.333496</th>\n",
+       "      <td>3024</td>\n",
+       "      <td>0.567877</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.666992</th>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.187790</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.259277</th>\n",
+       "      <th>0.083374</th>\n",
+       "      <td>634</td>\n",
+       "      <td>0.119059</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.958984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>600</td>\n",
+       "      <td>0.112674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"2\" valign=\"top\">0.500000</th>\n",
+       "      <th>0.062500</th>\n",
+       "      <td>54</td>\n",
+       "      <td>0.010141</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>34</td>\n",
+       "      <td>0.006385</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>12</td>\n",
+       "      <td>0.002253</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.001127</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.591797</th>\n",
+       "      <th>0.250000</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.000751</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.708984</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000376</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0.479492</th>\n",
+       "      <th>0.500000</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.000376</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                               machine_id  machine_id_perc\n",
+       "capacity.cpus capacity.memory                             \n",
+       "1.000000      0.500000             124234        23.329891\n",
+       "0.591797      0.333496             103013        19.344801\n",
+       "0.259277      0.166748              78078        14.662260\n",
+       "0.708984      0.333496              55801        10.478864\n",
+       "0.386719      0.333496              36237         6.804943\n",
+       "0.958984      0.500000              31151         5.849843\n",
+       "0.708984      0.666992              29594         5.557454\n",
+       "0.386719      0.166748              27011         5.072393\n",
+       "1.000000      1.000000              12286         2.307187\n",
+       "0.591797      0.166748               9902         1.859496\n",
+       "NaN           NaN                    8729         1.639218\n",
+       "1.000000      0.250000               7550         1.417814\n",
+       "0.958984      1.000000               3552         0.667030\n",
+       "0.259277      0.333496               3024         0.567877\n",
+       "0.591797      0.666992               1000         0.187790\n",
+       "0.259277      0.083374                634         0.119059\n",
+       "0.958984      0.250000                600         0.112674\n",
+       "0.500000      0.062500                 54         0.010141\n",
+       "              0.250000                 34         0.006385\n",
+       "0.479492      0.250000                 12         0.002253\n",
+       "0.708984      0.250000                  6         0.001127\n",
+       "0.591797      0.250000                  4         0.000751\n",
+       "0.708984      0.500000                  2         0.000376\n",
+       "0.479492      0.500000                  2         0.000376"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Generate machine configurations table per cluster + a global table\n",
+    "\n",
+    "df = df[df.columns.difference(['missing_data_reason'])]\n",
+    "\n",
+    "for l in \"abcdefgh\":\n",
+    "    print(\"\\nFor cluster \" + l + \":\\n\")\n",
+    "    do_group_by(df[df.cluster==l])\n",
+    "\n",
+    "print(\"\\n For all clusters:\")\n",
+    "do_group_by(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "supreme-hepatitis",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.6.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}