diff --git a/Ch02/emails.ipynb b/Ch02/emails.ipynb
new file mode 100644
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--- /dev/null
+++ b/Ch02/emails.ipynb
@@ -0,0 +1,1483 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>emailsOpened</th>\n",
+       "      <th>member</th>\n",
+       "      <th>week</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2015-06-29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2015-07-13</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2015-07-20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2015-07-27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2015-08-03</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   emailsOpened  member       week\n",
+       "0           3.0     1.0 2015-06-29\n",
+       "1           2.0     1.0 2015-07-13\n",
+       "2           2.0     1.0 2015-07-20\n",
+       "3           3.0     1.0 2015-07-27\n",
+       "4           1.0     1.0 2015-08-03"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "emails = pd.read_csv('data/emails.csv',\n",
+    "                     header=0,\n",
+    "                     names=['emailsOpened', 'member', 'week'],\n",
+    "                     parse_dates=['week'])\n",
+    "\n",
+    "emails.head()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "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>amount</th>\n",
+       "      <th>timestamp</th>\n",
+       "      <th>member</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>2017-11-12 11:13:44</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>2015-08-25 19:01:45</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>2015-03-26 12:03:47</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>2016-07-06 12:24:55</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>2016-05-11 18:13:04</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2671</th>\n",
+       "      <td>25.0</td>\n",
+       "      <td>2016-09-02 11:20:00</td>\n",
+       "      <td>992.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2672</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>2017-11-02 12:17:06</td>\n",
+       "      <td>993.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2673</th>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>2016-09-13 21:09:47</td>\n",
+       "      <td>995.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2674</th>\n",
+       "      <td>1000.0</td>\n",
+       "      <td>2017-09-29 20:03:01</td>\n",
+       "      <td>995.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2675</th>\n",
+       "      <td>50.0</td>\n",
+       "      <td>2018-01-03 19:24:24</td>\n",
+       "      <td>998.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2676 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      amount           timestamp  member\n",
+       "0       25.0 2017-11-12 11:13:44     0.0\n",
+       "1       50.0 2015-08-25 19:01:45     0.0\n",
+       "2       25.0 2015-03-26 12:03:47     0.0\n",
+       "3       50.0 2016-07-06 12:24:55     0.0\n",
+       "4       50.0 2016-05-11 18:13:04     1.0\n",
+       "...      ...                 ...     ...\n",
+       "2671    25.0 2016-09-02 11:20:00   992.0\n",
+       "2672    50.0 2017-11-02 12:17:06   993.0\n",
+       "2673  1000.0 2016-09-13 21:09:47   995.0\n",
+       "2674  1000.0 2017-09-29 20:03:01   995.0\n",
+       "2675    50.0 2018-01-03 19:24:24   998.0\n",
+       "\n",
+       "[2676 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "donations = pd.read_csv('data/donations.csv', parse_dates=['timestamp'])\n",
+    "donations.columns = ['amount', 'timestamp', 'member']\n",
+    "donations\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "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>memberId</th>\n",
+       "      <th>memberStats</th>\n",
+       "      <th>yearJoined</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>2014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>2015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>2016</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>bronze</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>995</th>\n",
+       "      <td>995</td>\n",
+       "      <td>bronze</td>\n",
+       "      <td>2016</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>996</th>\n",
+       "      <td>996</td>\n",
+       "      <td>bronze</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>997</th>\n",
+       "      <td>997</td>\n",
+       "      <td>bronze</td>\n",
+       "      <td>2018</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>998</th>\n",
+       "      <td>998</td>\n",
+       "      <td>bronze</td>\n",
+       "      <td>2017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>999</th>\n",
+       "      <td>999</td>\n",
+       "      <td>silver</td>\n",
+       "      <td>2014</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1000 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     memberId memberStats  yearJoined\n",
+       "0           0      silver        2014\n",
+       "1           1      silver        2015\n",
+       "2           2      silver        2016\n",
+       "3           3      bronze        2018\n",
+       "4           4      silver        2018\n",
+       "..        ...         ...         ...\n",
+       "995       995      bronze        2016\n",
+       "996       996      bronze        2018\n",
+       "997       997      bronze        2018\n",
+       "998       998      bronze        2017\n",
+       "999       999      silver        2014\n",
+       "\n",
+       "[1000 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "YearJoined = pd.read_csv('data/year_joined.csv')\n",
+    "YearJoined.columns = ['memberId', 'memberStats', 'yearJoined']\n",
+    "YearJoined\n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "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>week</th>\n",
+       "      <th>member</th>\n",
+       "      <th>emailsOpened</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>81388</th>\n",
+       "      <td>2015-02-09</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58211</th>\n",
+       "      <td>2015-02-16</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>58750</th>\n",
+       "      <td>2015-02-23</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65757</th>\n",
+       "      <td>2015-03-02</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72225</th>\n",
+       "      <td>2015-03-09</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15091</th>\n",
+       "      <td>2018-04-30</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>45275</th>\n",
+       "      <td>2018-05-07</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23176</th>\n",
+       "      <td>2018-05-14</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14552</th>\n",
+       "      <td>2018-05-21</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2694</th>\n",
+       "      <td>2018-05-28</td>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>173 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            week  member  emailsOpened\n",
+       "81388 2015-02-09   998.0           0.0\n",
+       "58211 2015-02-16   998.0           0.0\n",
+       "58750 2015-02-23   998.0           0.0\n",
+       "65757 2015-03-02   998.0           0.0\n",
+       "72225 2015-03-09   998.0           0.0\n",
+       "...          ...     ...           ...\n",
+       "15091 2018-04-30   998.0           3.0\n",
+       "45275 2018-05-07   998.0           3.0\n",
+       "23176 2018-05-14   998.0           3.0\n",
+       "14552 2018-05-21   998.0           3.0\n",
+       "2694  2018-05-28   998.0           3.0\n",
+       "\n",
+       "[173 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "complete_idx = pd.MultiIndex.from_product((set(emails.week), set(emails.member)))\n",
+    "\n",
+    "all_email = (emails.set_index(['week', 'member'])\n",
+    "                   .reindex(complete_idx, fill_value=0)\n",
+    "                   .reset_index())\n",
+    "all_email.columns = ['week', 'member', 'emailsOpened']\n",
+    "\n",
+    "all_email[all_email.member==998].sort_values(by='week')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "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>week</th>\n",
+       "      <th>member</th>\n",
+       "      <th>emailsOpened</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2016-12-05</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2016-12-05</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2016-12-05</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2016-12-05</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2016-12-05</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93231</th>\n",
+       "      <td>2017-05-08</td>\n",
+       "      <td>959.0</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93236</th>\n",
+       "      <td>2017-05-08</td>\n",
+       "      <td>970.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93237</th>\n",
+       "      <td>2017-05-08</td>\n",
+       "      <td>973.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93241</th>\n",
+       "      <td>2017-05-08</td>\n",
+       "      <td>987.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>93245</th>\n",
+       "      <td>2017-05-08</td>\n",
+       "      <td>995.0</td>\n",
+       "      <td>3.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>31836 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            week  member  emailsOpened\n",
+       "0     2016-12-05     1.0           3.0\n",
+       "3     2016-12-05     6.0           1.0\n",
+       "4     2016-12-05     9.0           3.0\n",
+       "6     2016-12-05    14.0           0.0\n",
+       "8     2016-12-05    20.0           1.0\n",
+       "...          ...     ...           ...\n",
+       "93231 2017-05-08   959.0           2.0\n",
+       "93236 2017-05-08   970.0           1.0\n",
+       "93237 2017-05-08   973.0           3.0\n",
+       "93241 2017-05-08   987.0           3.0\n",
+       "93245 2017-05-08   995.0           3.0\n",
+       "\n",
+       "[31836 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cutoff_dates = emails.groupby('member').week.agg(['min', 'max']).reset_index()\n",
+    "\n",
+    "for _, row in cutoff_dates.iterrows():\n",
+    "    member = row['member']\n",
+    "    start_date = row['min']\n",
+    "    end_date = row['max']\n",
+    "    query = 'member == @member and (week < @start_date or week > @end_date)'\n",
+    "    all_email.drop(all_email.query(query).index, axis='index', inplace=True)\n",
+    "\n",
+    "all_email"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Constructing a found time series"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "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>member</th>\n",
+       "      <th>amount</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>timestamp</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-03-30</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-08-31</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-07-11</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-11-13</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-05-09</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-21</th>\n",
+       "      <td>992.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-11-06</th>\n",
+       "      <td>993.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2016-09-19</th>\n",
+       "      <td>995.0</td>\n",
+       "      <td>1000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-10-02</th>\n",
+       "      <td>995.0</td>\n",
+       "      <td>1000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-08</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2612 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            member  amount\n",
+       "timestamp                 \n",
+       "2015-03-30     0.0    25.0\n",
+       "2015-08-31     0.0    50.0\n",
+       "2016-07-11     0.0    50.0\n",
+       "2017-11-13     0.0    25.0\n",
+       "2016-05-09     1.0    50.0\n",
+       "...            ...     ...\n",
+       "2018-05-21   992.0    50.0\n",
+       "2017-11-06   993.0    50.0\n",
+       "2016-09-19   995.0  1000.0\n",
+       "2017-10-02   995.0  1000.0\n",
+       "2018-01-08   998.0    50.0\n",
+       "\n",
+       "[2612 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Constructing a found time series\n",
+    "donations.set_index('timestamp', inplace=True)\n",
+    "agg_don = (donations.groupby('member')\n",
+    "                    .apply(lambda df: df.amount.resample('W-MON').sum()))\n",
+    "\n",
+    "agg_don = agg_don[agg_don != 0]\n",
+    "agg_don = agg_don.reset_index().set_index('timestamp')   \n",
+    "agg_don"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/lib/python3.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>member</th>\n",
+       "      <th>emailsOpened</th>\n",
+       "      <th>amount</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>week</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2015-06-29</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-07-06</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-07-13</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-07-20</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2015-07-27</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-30</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-07</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-14</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-21</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-28</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>31836 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            member  emailsOpened  amount\n",
+       "week                                    \n",
+       "2015-06-29     1.0           3.0     0.0\n",
+       "2015-07-06     1.0           0.0     0.0\n",
+       "2015-07-13     1.0           2.0     0.0\n",
+       "2015-07-20     1.0           2.0     0.0\n",
+       "2015-07-27     1.0           3.0     0.0\n",
+       "...            ...           ...     ...\n",
+       "2018-04-30   998.0           3.0     0.0\n",
+       "2018-05-07   998.0           3.0     0.0\n",
+       "2018-05-14   998.0           3.0     0.0\n",
+       "2018-05-21   998.0           3.0     0.0\n",
+       "2018-05-28   998.0           3.0     0.0\n",
+       "\n",
+       "[31836 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 51,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "lst = []                                                                        \n",
+    "for member, member_email in all_email.groupby('member'):                        \n",
+    "    member_donations = agg_don.query('member == @member')                     \n",
+    "                                                                                \n",
+    "    member_email.set_index('week', inplace=True)                                \n",
+    "    member_email.sort_index(inplace=True)                                       \n",
+    "                                                                                \n",
+    "    df = pd.merge(member_email, member_donations,                               \n",
+    "                  how='left',                                                   \n",
+    "                  left_index=True, right_index=True)                            \n",
+    "    df.fillna(0, inplace=True)                                                  \n",
+    "    df['member'] = df.member_x                                                  \n",
+    "    lst.append(df.reset_index()[['member', 'week', 'emailsOpened', 'amount']])  \n",
+    "                                                                                \n",
+    "merged_df = pd.concat(lst).set_index('week') \n",
+    "merged_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "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>member</th>\n",
+       "      <th>emailsOpened</th>\n",
+       "      <th>amount</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>week</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2017-12-04</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-11</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-18</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-25</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-01</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-08</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-15</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-22</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-29</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-05</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-12</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-19</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-26</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-05</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-12</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-19</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-26</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-02</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-09</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-16</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-23</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-30</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-07</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-14</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-21</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-28</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            member  emailsOpened  amount\n",
+       "week                                    \n",
+       "2017-12-04   998.0           1.0     0.0\n",
+       "2017-12-11   998.0           3.0     0.0\n",
+       "2017-12-18   998.0           3.0     0.0\n",
+       "2017-12-25   998.0           0.0     0.0\n",
+       "2018-01-01   998.0           3.0     0.0\n",
+       "2018-01-08   998.0           3.0    50.0\n",
+       "2018-01-15   998.0           2.0     0.0\n",
+       "2018-01-22   998.0           3.0     0.0\n",
+       "2018-01-29   998.0           2.0     0.0\n",
+       "2018-02-05   998.0           3.0     0.0\n",
+       "2018-02-12   998.0           3.0     0.0\n",
+       "2018-02-19   998.0           3.0     0.0\n",
+       "2018-02-26   998.0           2.0     0.0\n",
+       "2018-03-05   998.0           2.0     0.0\n",
+       "2018-03-12   998.0           3.0     0.0\n",
+       "2018-03-19   998.0           2.0     0.0\n",
+       "2018-03-26   998.0           2.0     0.0\n",
+       "2018-04-02   998.0           3.0     0.0\n",
+       "2018-04-09   998.0           3.0     0.0\n",
+       "2018-04-16   998.0           3.0     0.0\n",
+       "2018-04-23   998.0           0.0     0.0\n",
+       "2018-04-30   998.0           3.0     0.0\n",
+       "2018-05-07   998.0           3.0     0.0\n",
+       "2018-05-14   998.0           3.0     0.0\n",
+       "2018-05-21   998.0           3.0     0.0\n",
+       "2018-05-28   998.0           3.0     0.0"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = merged_df.query('member == 998')\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/usr/lib/python3.7/site-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
+      "  \"\"\"Entry point for launching an IPython kernel.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>member</th>\n",
+       "      <th>emailsOpened</th>\n",
+       "      <th>amount</th>\n",
+       "      <th>target</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>week</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2017-12-04</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-11</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-18</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2017-12-25</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-01</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-08</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>50.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-15</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>50.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-22</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-01-29</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-05</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-12</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-19</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-02-26</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-05</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-12</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-19</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-03-26</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-02</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-09</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-16</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-23</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-04-30</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-07</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-14</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-21</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2018-05-28</th>\n",
+       "      <td>998.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            member  emailsOpened  amount  target\n",
+       "week                                            \n",
+       "2017-12-04   998.0           1.0     0.0     NaN\n",
+       "2017-12-11   998.0           3.0     0.0     0.0\n",
+       "2017-12-18   998.0           3.0     0.0     0.0\n",
+       "2017-12-25   998.0           0.0     0.0     0.0\n",
+       "2018-01-01   998.0           3.0     0.0     0.0\n",
+       "2018-01-08   998.0           3.0    50.0     0.0\n",
+       "2018-01-15   998.0           2.0     0.0    50.0\n",
+       "2018-01-22   998.0           3.0     0.0     0.0\n",
+       "2018-01-29   998.0           2.0     0.0     0.0\n",
+       "2018-02-05   998.0           3.0     0.0     0.0\n",
+       "2018-02-12   998.0           3.0     0.0     0.0\n",
+       "2018-02-19   998.0           3.0     0.0     0.0\n",
+       "2018-02-26   998.0           2.0     0.0     0.0\n",
+       "2018-03-05   998.0           2.0     0.0     0.0\n",
+       "2018-03-12   998.0           3.0     0.0     0.0\n",
+       "2018-03-19   998.0           2.0     0.0     0.0\n",
+       "2018-03-26   998.0           2.0     0.0     0.0\n",
+       "2018-04-02   998.0           3.0     0.0     0.0\n",
+       "2018-04-09   998.0           3.0     0.0     0.0\n",
+       "2018-04-16   998.0           3.0     0.0     0.0\n",
+       "2018-04-23   998.0           0.0     0.0     0.0\n",
+       "2018-04-30   998.0           3.0     0.0     0.0\n",
+       "2018-05-07   998.0           3.0     0.0     0.0\n",
+       "2018-05-14   998.0           3.0     0.0     0.0\n",
+       "2018-05-21   998.0           3.0     0.0     0.0\n",
+       "2018-05-28   998.0           3.0     0.0     0.0"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['target'] = df.amount.shift(1)                                               \n",
+    "df   "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Ch02/myemails.py b/Ch02/myemails.py
new file mode 100644
index 0000000..7d2d135
--- /dev/null
+++ b/Ch02/myemails.py
@@ -0,0 +1,61 @@
+import pandas as pd
+
+emails = pd.read_csv('data/emails.csv',
+                     header=0,
+                     names=['emailsOpened', 'member', 'week'],
+                     parse_dates=['week'])
+
+print(emails.head())
+
+donations = pd.read_csv('data/donations.csv', parse_dates=['timestamp'])
+donations.columns = ['amount', 'timestamp', 'member']
+
+YearJoined = pd.read_csv('data/year_joined.csv')
+YearJoined.columns = ['memberId', 'memberStats', 'yearJoined']
+
+complete_idx = pd.MultiIndex.from_product((set(emails.week), set(emails.member)))
+
+all_email = (emails.set_index(['week', 'member'])
+                   .reindex(complete_idx, fill_value=0)
+                   .reset_index())
+all_email.columns = ['week', 'member', 'emailsOpened']
+
+print(all_email[all_email.member==998].sort_values(by='week'))
+
+cutoff_dates = emails.groupby('member').week.agg(['min', 'max']).reset_index()
+
+for _, row in cutoff_dates.iterrows():
+    member = row['member']
+    start_date = row['min']
+    end_date = row['max']
+    query = 'member == @member and (week < @start_date or week > @end_date)'
+    all_email.drop(all_email.query(query).index, axis='index', inplace=True)
+
+# Constructing a found time series
+donations.set_index('timestamp', inplace=True)
+agg_don = (donations.groupby('member')
+                    .apply(lambda df: df.amount.resample('W-MON').sum()))
+
+agg_don = agg_don[agg_don != 0]
+agg_don = agg_don.reset_index().set_index('timestamp')
+
+
+lst = []
+for member, member_email in all_email.groupby('member'):
+    member_donations = agg_don.query('member == @member')
+
+    member_email.set_index('week', inplace=True)
+    member_email.sort_index(inplace=True)
+
+    df = pd.merge(member_email, member_donations,
+                  how='left',
+                  left_index=True, right_index=True)
+    df.fillna(0, inplace=True)
+    df['member'] = df.member_x
+    lst.append(df.reset_index()[['member', 'week', 'emailsOpened', 'amount']])
+
+merged_df = pd.concat(lst).set_index('week')
+df = merged_df.query('member == 998')     
+
+df['target'] = df.amount.shift(1)
+df
diff --git a/Ch02/unemp.py b/Ch02/unemp.py
new file mode 100644
index 0000000..eed6a14
--- /dev/null
+++ b/Ch02/unemp.py
@@ -0,0 +1,54 @@
+import matplotlib.pyplot as plt
+import pandas as pd
+
+unemp = pd.read_csv('data/UNRATE.csv', parse_dates=['DATE'], index_col='DATE')
+
+# generate a data set where data is randomly missing
+rand_unemp = unemp.sample(frac=0.9).sort_index() 
+
+# generate a dataset where data is more likely to be missing when unemployment
+# is high
+high_unemp = unemp.query('UNRATE > 8').sample(frac=0.2)
+bias_unemp = unemp.drop(high_unemp.index, axis='index')
+
+# 
+rand_unemp = rand_unemp.resample('M').mean()
+bias_unemp = bias_unemp.resample('M').mean()
+
+# Seems unnecessary.
+rand_unemp['rpt'] = rand_unemp['UNRATE'].isnull()
+
+data = {
+    'amt': [99, 100, 5, 15, 11, 1200],
+    'dt': ['2019-02-27', '2019-03-02', '2019-06-13', '2019-08-01', '2019-08-31', '2019-09-15',]
+}
+
+donations = pd.DataFrame(data, index=list(range(1,7)))
+donations['dt'] = pd.to_datetime(donations['dt'])
+
+identifier = ['q4q42', '4299hj', 'bbg2']
+dt = [pd.Timestamp(x) for x in ['2019-1-1', '2019-4-1', '2019-7-1']]
+publicity = pd.DataFrame({'identifier': identifier, 'dt': dt}, index=list(range(1,4)))
+
+donations.set_index('dt', inplace=True)
+publicity.set_index('dt', inplace=True)
+
+# we wish to label each donation according to 
+# what publicity campaign most recently preceded it.
+new_index = pd.date_range('2019-01-01', periods=270)
+df = donations.join(publicity.reindex(new_index, method='ffill'))
+print(df)
+
+# identify the missing data
+# Hey, it's already done by resample.
+
+idx = slice(350, 400)
+unemp_idx = unemp.iloc[idx]
+rand_unemp_ff = rand_unemp.iloc[idx].fillna(method='ffill')
+
+# plot a sample graph showing the flat portions.
+fig, ax = plt.subplots()
+unemp_idx.plot(ax=ax, linestyle='-', marker='o', markerfacecolor='none')
+rand_unemp_ff.plot(ax=ax)
+rand_unemp_ff.loc[rand_unemp_ff.rpt, 'UNRATE'].plot(linestyle='none', marker='o', color='r')
+ax.legend(['UNRATE', 'Missing', 'FFILL'])