diff --git a/2-Working-With-Data/07-python/R/notebook.ipynb b/2-Working-With-Data/07-python/R/notebook.ipynb
index 605b211..79afbfe 100644
--- a/2-Working-With-Data/07-python/R/notebook.ipynb
+++ b/2-Working-With-Data/07-python/R/notebook.ipynb
@@ -166,7 +166,7 @@
     },
     {
      "data": {
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c2qAdCizVMAHXft5L3Sg3gAdEndPIBm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\nnXZjTwAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "plot without title"
       ]
@@ -1052,7 +1052,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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RVP1qDfRLZPvumCUeh3cXSqvKtq0K/qW37WvYtyZYJ2G0I6CDVo2DDPbU2pQWNl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\nAS5sdYLm0dKiPKkFtXCxH4XSHmuVE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Vgh40yLvmj3gXh5fxKXGcDp1tc3ccXafd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\nEomgSIJOJBKJoEiCTiQSiaD4/87RXKHCQFeFAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "plot without title"
       ]
@@ -1118,7 +1118,7 @@
     },
     {
      "data": {
-      "image/png": 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8X0gQK6WQR0VQN0uAjo4WL6QBtA+10c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\nZM8la27Zc8maFh2f9J6Abs6SPZesuWXPJWtadHzSewK6OUv2XLL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",
       "text/plain": [
        "plot without title"
       ]
@@ -1964,7 +1964,7 @@
     "## Printing and Plotting\n",
     " When We call head(df)  it will print out dataframe in a tabular form.\n",
     "\n",
-    "The first step of any data science project is data cleaning and visualization, thus it is important to visualize the dataset and extract some useful imformation."
+    "The first step of any data science project is data cleaning and visualization, thus it is important to visualize the dataset and extract some useful information."
    ]
   },
   {
@@ -2066,7 +2066,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "plot without title"
       ]
@@ -2092,7 +2092,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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",
       "text/plain": [
        "plot without title"
       ]
diff --git a/2-Working-With-Data/07-python/notebook-covidspread.ipynb b/2-Working-With-Data/07-python/notebook-covidspread.ipynb
index f745150..1118665 100644
--- a/2-Working-With-Data/07-python/notebook-covidspread.ipynb
+++ b/2-Working-With-Data/07-python/notebook-covidspread.ipynb
@@ -2,90 +2,62 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "# Estimation of COVID-19 Pandemic\r\n",
-    "\r\n",
-    "## Loading Data\r\n",
-    "\r\n",
+    "# Estimation of COVID-19 Pandemic\n",
+    "\n",
+    "## Loading Data\n",
+    "\n",
     "We will use data on COVID-19 infected individuals, provided by the [Center for Systems Science and Engineering](https://systems.jhu.edu/) (CSSE) at [Johns Hopkins University](https://jhu.edu/). Dataset is available in [this GitHub Repository](https://github.com/CSSEGISandData/COVID-19)."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 124,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "import numpy as np\r\n",
-    "import pandas as pd\r\n",
-    "import matplotlib.pyplot as plt\r\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
     "plt.rcParams[\"figure.figsize\"] = (10,3) # make figures larger"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We can load the most recent data directly from GitHub using `pd.read_csv`. If for some reason the data is not available, you can always use the copy available locally in the `data` folder - just uncomment the line below that defines `base_url`:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 125,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "base_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/\" # loading from Internet\r\n",
-    "# base_url = \"../../data/COVID/\" # loading from disk\r\n",
-    "infected_dataset_url = base_url + \"time_series_covid19_confirmed_global.csv\"\r\n",
-    "recovered_dataset_url = base_url + \"time_series_covid19_recovered_global.csv\"\r\n",
-    "deaths_dataset_url = base_url + \"time_series_covid19_deaths_global.csv\"\r\n",
+    "base_url = \"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/\" # loading from Internet\n",
+    "# base_url = \"../../data/COVID/\" # loading from disk\n",
+    "infected_dataset_url = base_url + \"time_series_covid19_confirmed_global.csv\"\n",
+    "recovered_dataset_url = base_url + \"time_series_covid19_recovered_global.csv\"\n",
+    "deaths_dataset_url = base_url + \"time_series_covid19_deaths_global.csv\"\n",
     "countries_dataset_url = base_url + \"../UID_ISO_FIPS_LookUp_Table.csv\""
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Let's now load the data for infected individuals and see how the data looks like:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 126,
-   "source": [
-    "infected = pd.read_csv(infected_dataset_url)\r\n",
-    "infected.head()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "  Province/State Country/Region       Lat       Long  1/22/20  1/23/20  \\\n",
-       "0            NaN    Afghanistan  33.93911  67.709953        0        0   \n",
-       "1            NaN        Albania  41.15330  20.168300        0        0   \n",
-       "2            NaN        Algeria  28.03390   1.659600        0        0   \n",
-       "3            NaN        Andorra  42.50630   1.521800        0        0   \n",
-       "4            NaN         Angola -11.20270  17.873900        0        0   \n",
-       "\n",
-       "   1/24/20  1/25/20  1/26/20  1/27/20  ...  8/20/21  8/21/21  8/22/21  \\\n",
-       "0        0        0        0        0  ...   152448   152448   152448   \n",
-       "1        0        0        0        0  ...   138132   138790   139324   \n",
-       "2        0        0        0        0  ...   190656   191171   191583   \n",
-       "3        0        0        0        0  ...    14988    14988    14988   \n",
-       "4        0        0        0        0  ...    45583    45817    45945   \n",
-       "\n",
-       "   8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  8/29/21  \n",
-       "0   152583   152660   152722   152822   152960   152960   152960  \n",
-       "1   139721   140521   141365   142253   143174   144079   144847  \n",
-       "2   192089   192626   193171   193674   194186   194671   195162  \n",
-       "3    15002    15003    15014    15016    15025    15025    15025  \n",
-       "4    46076    46340    46539    46726    46929    47079    47168  \n",
-       "\n",
-       "[5 rows x 590 columns]"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -253,49 +225,74 @@
        "</table>\n",
        "<p>5 rows × 590 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "  Province/State Country/Region       Lat       Long  1/22/20  1/23/20  \\\n",
+       "0            NaN    Afghanistan  33.93911  67.709953        0        0   \n",
+       "1            NaN        Albania  41.15330  20.168300        0        0   \n",
+       "2            NaN        Algeria  28.03390   1.659600        0        0   \n",
+       "3            NaN        Andorra  42.50630   1.521800        0        0   \n",
+       "4            NaN         Angola -11.20270  17.873900        0        0   \n",
+       "\n",
+       "   1/24/20  1/25/20  1/26/20  1/27/20  ...  8/20/21  8/21/21  8/22/21  \\\n",
+       "0        0        0        0        0  ...   152448   152448   152448   \n",
+       "1        0        0        0        0  ...   138132   138790   139324   \n",
+       "2        0        0        0        0  ...   190656   191171   191583   \n",
+       "3        0        0        0        0  ...    14988    14988    14988   \n",
+       "4        0        0        0        0  ...    45583    45817    45945   \n",
+       "\n",
+       "   8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  8/29/21  \n",
+       "0   152583   152660   152722   152822   152960   152960   152960  \n",
+       "1   139721   140521   141365   142253   143174   144079   144847  \n",
+       "2   192089   192626   193171   193674   194186   194671   195162  \n",
+       "3    15002    15003    15014    15016    15025    15025    15025  \n",
+       "4    46076    46340    46539    46726    46929    47079    47168  \n",
+       "\n",
+       "[5 rows x 590 columns]"
       ]
      },
+     "execution_count": 126,
      "metadata": {},
-     "execution_count": 126
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "infected = pd.read_csv(infected_dataset_url)\n",
+    "infected.head()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We can see that each row of the table defines the number of infected individuals for each country and/or province, and columns correspond to dates. Similar tables can be loaded for other data, such as number of recovered and number of deaths."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 127,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "recovered = pd.read_csv(recovered_dataset_url)\r\n",
+    "recovered = pd.read_csv(recovered_dataset_url)\n",
     "deaths = pd.read_csv(deaths_dataset_url)"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Making Sense of the Data\r\n",
-    "\r\n",
+    "## Making Sense of the Data\n",
+    "\n",
     "From the table above the role of province column is not clear. Let's see the different values that are present in `Province/State` column:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 128,
-   "source": [
-    "infected['Province/State'].value_counts()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "Australian Capital Territory    1\n",
@@ -312,140 +309,29 @@
        "Name: Province/State, Length: 87, dtype: int64"
       ]
      },
+     "execution_count": 128,
      "metadata": {},
-     "execution_count": 128
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "infected['Province/State'].value_counts()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "From the names we can deduce that countries like Australia and China have more detailed breakdown by provinces. Let's look for information on China to see the example:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 129,
-   "source": [
-    "infected[infected['Country/Region']=='China']"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "    Province/State Country/Region      Lat      Long  1/22/20  1/23/20  \\\n",
-       "58           Anhui          China  31.8257  117.2264        1        9   \n",
-       "59         Beijing          China  40.1824  116.4142       14       22   \n",
-       "60       Chongqing          China  30.0572  107.8740        6        9   \n",
-       "61          Fujian          China  26.0789  117.9874        1        5   \n",
-       "62           Gansu          China  35.7518  104.2861        0        2   \n",
-       "63       Guangdong          China  23.3417  113.4244       26       32   \n",
-       "64         Guangxi          China  23.8298  108.7881        2        5   \n",
-       "65         Guizhou          China  26.8154  106.8748        1        3   \n",
-       "66          Hainan          China  19.1959  109.7453        4        5   \n",
-       "67           Hebei          China  39.5490  116.1306        1        1   \n",
-       "68    Heilongjiang          China  47.8620  127.7615        0        2   \n",
-       "69           Henan          China  37.8957  114.9042        5        5   \n",
-       "70       Hong Kong          China  22.3000  114.2000        0        2   \n",
-       "71           Hubei          China  30.9756  112.2707      444      444   \n",
-       "72           Hunan          China  27.6104  111.7088        4        9   \n",
-       "73  Inner Mongolia          China  44.0935  113.9448        0        0   \n",
-       "74         Jiangsu          China  32.9711  119.4550        1        5   \n",
-       "75         Jiangxi          China  27.6140  115.7221        2        7   \n",
-       "76           Jilin          China  43.6661  126.1923        0        1   \n",
-       "77        Liaoning          China  41.2956  122.6085        2        3   \n",
-       "78           Macau          China  22.1667  113.5500        1        2   \n",
-       "79         Ningxia          China  37.2692  106.1655        1        1   \n",
-       "80         Qinghai          China  35.7452   95.9956        0        0   \n",
-       "81         Shaanxi          China  35.1917  108.8701        0        3   \n",
-       "82        Shandong          China  36.3427  118.1498        2        6   \n",
-       "83        Shanghai          China  31.2020  121.4491        9       16   \n",
-       "84          Shanxi          China  37.5777  112.2922        1        1   \n",
-       "85         Sichuan          China  30.6171  102.7103        5        8   \n",
-       "86         Tianjin          China  39.3054  117.3230        4        4   \n",
-       "87           Tibet          China  31.6927   88.0924        0        0   \n",
-       "88         Unknown          China      NaN       NaN        0        0   \n",
-       "89        Xinjiang          China  41.1129   85.2401        0        2   \n",
-       "90          Yunnan          China  24.9740  101.4870        1        2   \n",
-       "91        Zhejiang          China  29.1832  120.0934       10       27   \n",
-       "\n",
-       "    1/24/20  1/25/20  1/26/20  1/27/20  ...  8/20/21  8/21/21  8/22/21  \\\n",
-       "58       15       39       60       70  ...     1008     1008     1008   \n",
-       "59       36       41       68       80  ...     1112     1113     1115   \n",
-       "60       27       57       75      110  ...      603      603      603   \n",
-       "61       10       18       35       59  ...      780      780      780   \n",
-       "62        2        4        7       14  ...      199      199      199   \n",
-       "63       53       78      111      151  ...     3001     3007     3012   \n",
-       "64       23       23       36       46  ...      289      289      289   \n",
-       "65        3        4        5        7  ...      147      147      147   \n",
-       "66        8       19       22       33  ...      190      190      190   \n",
-       "67        2        8       13       18  ...     1317     1317     1317   \n",
-       "68        4        9       15       21  ...     1614     1614     1614   \n",
-       "69        9       32       83      128  ...     1521     1522     1523   \n",
-       "70        2        5        8        8  ...    12049    12052    12057   \n",
-       "71      549      761     1058     1423  ...    68287    68289    68289   \n",
-       "72       24       43       69      100  ...     1181     1181     1181   \n",
-       "73        1        7        7       11  ...      412      412      412   \n",
-       "74        9       18       33       47  ...     1583     1584     1584   \n",
-       "75       18       18       36       72  ...      937      937      937   \n",
-       "76        3        4        4        6  ...      574      574      574   \n",
-       "77        4       17       21       27  ...      443      443      443   \n",
-       "78        2        2        5        6  ...       63       63       63   \n",
-       "79        2        3        4        7  ...       77       77       77   \n",
-       "80        0        1        1        6  ...       18       18       18   \n",
-       "81        5       15       22       35  ...      668      668      668   \n",
-       "82       15       27       46       75  ...      923      923      923   \n",
-       "83       20       33       40       53  ...     2420     2432     2436   \n",
-       "84        1        6        9       13  ...      255      255      256   \n",
-       "85       15       28       44       69  ...     1181     1182     1183   \n",
-       "86        8       10       14       23  ...      458      459      462   \n",
-       "87        0        0        0        0  ...        1        1        1   \n",
-       "88        0        0        0        0  ...        0        0        0   \n",
-       "89        2        3        4        5  ...      980      980      980   \n",
-       "90        5       11       16       26  ...     1000     1007     1010   \n",
-       "91       43       62      104      128  ...     1420     1420     1421   \n",
-       "\n",
-       "    8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  8/29/21  \n",
-       "58     1008     1008     1008     1008     1008     1008     1008  \n",
-       "59     1115     1115     1115     1115     1115     1115     1115  \n",
-       "60      603      603      603      603      603      603      603  \n",
-       "61      782      782      783      783      784      785      786  \n",
-       "62      199      199      199      199      199      199      199  \n",
-       "63     3020     3023     3032     3040     3043     3046     3055  \n",
-       "64      289      289      289      289      289      289      289  \n",
-       "65      147      147      147      147      147      147      147  \n",
-       "66      190      190      190      190      190      190      190  \n",
-       "67     1317     1317     1317     1317     1317     1317     1317  \n",
-       "68     1614     1614     1614     1615     1615     1615     1615  \n",
-       "69     1524     1525     1525     1527     1528     1528     1528  \n",
-       "70    12062    12069    12074    12077    12094    12100    12107  \n",
-       "71    68289    68289    68289    68290    68290    68290    68290  \n",
-       "72     1181     1181     1181     1181     1181     1181     1181  \n",
-       "73      412      412      412      412      412      412      412  \n",
-       "74     1584     1586     1586     1587     1587     1589     1589  \n",
-       "75      937      937      937      937      937      937      937  \n",
-       "76      574      574      574      574      574      574      574  \n",
-       "77      443      443      444      445      446      446      446  \n",
-       "78       63       63       63       63       63       63       63  \n",
-       "79       77       77       77       77       77       77       77  \n",
-       "80       18       18       18       18       18       18       18  \n",
-       "81      669      669      669      669      669      669      669  \n",
-       "82      923      923      923      923      923      923      924  \n",
-       "83     2445     2451     2454     2462     2466     2471     2476  \n",
-       "84      256      256      256      256      258      258      259  \n",
-       "85     1185     1185     1185     1186     1187     1188     1188  \n",
-       "86      463      464      465      466      466      470      472  \n",
-       "87        1        1        1        1        1        1        1  \n",
-       "88        0        0        0        0        0        0        0  \n",
-       "89      980      980      980      980      980      980      980  \n",
-       "90     1014     1021     1031     1039     1047     1064     1067  \n",
-       "91     1428     1428     1429     1429     1429     1429     1430  \n",
-       "\n",
-       "[34 rows x 590 columns]"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1309,72 +1195,144 @@
        "</table>\n",
        "<p>34 rows × 590 columns</p>\n",
        "</div>"
-      ]
-     },
-     "metadata": {},
-     "execution_count": 129
-    }
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Pre-processing the Data \r\n",
-    "\r\n",
-    "We are not interested in breaking countries down to further territories, thus we would first get rid of this breakdown and add information on all territories together, to get info for the whole country. This can be done using `groupby`:"
-   ],
-   "metadata": {}
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 130,
-   "source": [
-    "infected = infected.groupby('Country/Region').sum()\r\n",
-    "recovered = recovered.groupby('Country/Region').sum()\r\n",
-    "deaths = deaths.groupby('Country/Region').sum()\r\n",
-    "\r\n",
-    "infected.head()"
-   ],
-   "outputs": [
-    {
-     "output_type": "execute_result",
-     "data": {
+      ],
       "text/plain": [
-       "                     Lat       Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
-       "Country/Region                                                            \n",
-       "Afghanistan     33.93911  67.709953        0        0        0        0   \n",
-       "Albania         41.15330  20.168300        0        0        0        0   \n",
-       "Algeria         28.03390   1.659600        0        0        0        0   \n",
-       "Andorra         42.50630   1.521800        0        0        0        0   \n",
-       "Angola         -11.20270  17.873900        0        0        0        0   \n",
+       "    Province/State Country/Region      Lat      Long  1/22/20  1/23/20  \\\n",
+       "58           Anhui          China  31.8257  117.2264        1        9   \n",
+       "59         Beijing          China  40.1824  116.4142       14       22   \n",
+       "60       Chongqing          China  30.0572  107.8740        6        9   \n",
+       "61          Fujian          China  26.0789  117.9874        1        5   \n",
+       "62           Gansu          China  35.7518  104.2861        0        2   \n",
+       "63       Guangdong          China  23.3417  113.4244       26       32   \n",
+       "64         Guangxi          China  23.8298  108.7881        2        5   \n",
+       "65         Guizhou          China  26.8154  106.8748        1        3   \n",
+       "66          Hainan          China  19.1959  109.7453        4        5   \n",
+       "67           Hebei          China  39.5490  116.1306        1        1   \n",
+       "68    Heilongjiang          China  47.8620  127.7615        0        2   \n",
+       "69           Henan          China  37.8957  114.9042        5        5   \n",
+       "70       Hong Kong          China  22.3000  114.2000        0        2   \n",
+       "71           Hubei          China  30.9756  112.2707      444      444   \n",
+       "72           Hunan          China  27.6104  111.7088        4        9   \n",
+       "73  Inner Mongolia          China  44.0935  113.9448        0        0   \n",
+       "74         Jiangsu          China  32.9711  119.4550        1        5   \n",
+       "75         Jiangxi          China  27.6140  115.7221        2        7   \n",
+       "76           Jilin          China  43.6661  126.1923        0        1   \n",
+       "77        Liaoning          China  41.2956  122.6085        2        3   \n",
+       "78           Macau          China  22.1667  113.5500        1        2   \n",
+       "79         Ningxia          China  37.2692  106.1655        1        1   \n",
+       "80         Qinghai          China  35.7452   95.9956        0        0   \n",
+       "81         Shaanxi          China  35.1917  108.8701        0        3   \n",
+       "82        Shandong          China  36.3427  118.1498        2        6   \n",
+       "83        Shanghai          China  31.2020  121.4491        9       16   \n",
+       "84          Shanxi          China  37.5777  112.2922        1        1   \n",
+       "85         Sichuan          China  30.6171  102.7103        5        8   \n",
+       "86         Tianjin          China  39.3054  117.3230        4        4   \n",
+       "87           Tibet          China  31.6927   88.0924        0        0   \n",
+       "88         Unknown          China      NaN       NaN        0        0   \n",
+       "89        Xinjiang          China  41.1129   85.2401        0        2   \n",
+       "90          Yunnan          China  24.9740  101.4870        1        2   \n",
+       "91        Zhejiang          China  29.1832  120.0934       10       27   \n",
        "\n",
-       "                1/26/20  1/27/20  1/28/20  1/29/20  ...  8/20/21  8/21/21  \\\n",
-       "Country/Region                                      ...                     \n",
-       "Afghanistan           0        0        0        0  ...   152448   152448   \n",
-       "Albania               0        0        0        0  ...   138132   138790   \n",
-       "Algeria               0        0        0        0  ...   190656   191171   \n",
-       "Andorra               0        0        0        0  ...    14988    14988   \n",
-       "Angola                0        0        0        0  ...    45583    45817   \n",
-       "\n",
-       "                8/22/21  8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  \\\n",
-       "Country/Region                                                                  \n",
-       "Afghanistan      152448   152583   152660   152722   152822   152960   152960   \n",
-       "Albania          139324   139721   140521   141365   142253   143174   144079   \n",
-       "Algeria          191583   192089   192626   193171   193674   194186   194671   \n",
-       "Andorra           14988    15002    15003    15014    15016    15025    15025   \n",
-       "Angola            45945    46076    46340    46539    46726    46929    47079   \n",
+       "    1/24/20  1/25/20  1/26/20  1/27/20  ...  8/20/21  8/21/21  8/22/21  \\\n",
+       "58       15       39       60       70  ...     1008     1008     1008   \n",
+       "59       36       41       68       80  ...     1112     1113     1115   \n",
+       "60       27       57       75      110  ...      603      603      603   \n",
+       "61       10       18       35       59  ...      780      780      780   \n",
+       "62        2        4        7       14  ...      199      199      199   \n",
+       "63       53       78      111      151  ...     3001     3007     3012   \n",
+       "64       23       23       36       46  ...      289      289      289   \n",
+       "65        3        4        5        7  ...      147      147      147   \n",
+       "66        8       19       22       33  ...      190      190      190   \n",
+       "67        2        8       13       18  ...     1317     1317     1317   \n",
+       "68        4        9       15       21  ...     1614     1614     1614   \n",
+       "69        9       32       83      128  ...     1521     1522     1523   \n",
+       "70        2        5        8        8  ...    12049    12052    12057   \n",
+       "71      549      761     1058     1423  ...    68287    68289    68289   \n",
+       "72       24       43       69      100  ...     1181     1181     1181   \n",
+       "73        1        7        7       11  ...      412      412      412   \n",
+       "74        9       18       33       47  ...     1583     1584     1584   \n",
+       "75       18       18       36       72  ...      937      937      937   \n",
+       "76        3        4        4        6  ...      574      574      574   \n",
+       "77        4       17       21       27  ...      443      443      443   \n",
+       "78        2        2        5        6  ...       63       63       63   \n",
+       "79        2        3        4        7  ...       77       77       77   \n",
+       "80        0        1        1        6  ...       18       18       18   \n",
+       "81        5       15       22       35  ...      668      668      668   \n",
+       "82       15       27       46       75  ...      923      923      923   \n",
+       "83       20       33       40       53  ...     2420     2432     2436   \n",
+       "84        1        6        9       13  ...      255      255      256   \n",
+       "85       15       28       44       69  ...     1181     1182     1183   \n",
+       "86        8       10       14       23  ...      458      459      462   \n",
+       "87        0        0        0        0  ...        1        1        1   \n",
+       "88        0        0        0        0  ...        0        0        0   \n",
+       "89        2        3        4        5  ...      980      980      980   \n",
+       "90        5       11       16       26  ...     1000     1007     1010   \n",
+       "91       43       62      104      128  ...     1420     1420     1421   \n",
        "\n",
-       "                8/29/21  \n",
-       "Country/Region           \n",
-       "Afghanistan      152960  \n",
-       "Albania          144847  \n",
-       "Algeria          195162  \n",
-       "Andorra           15025  \n",
-       "Angola            47168  \n",
+       "    8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  8/29/21  \n",
+       "58     1008     1008     1008     1008     1008     1008     1008  \n",
+       "59     1115     1115     1115     1115     1115     1115     1115  \n",
+       "60      603      603      603      603      603      603      603  \n",
+       "61      782      782      783      783      784      785      786  \n",
+       "62      199      199      199      199      199      199      199  \n",
+       "63     3020     3023     3032     3040     3043     3046     3055  \n",
+       "64      289      289      289      289      289      289      289  \n",
+       "65      147      147      147      147      147      147      147  \n",
+       "66      190      190      190      190      190      190      190  \n",
+       "67     1317     1317     1317     1317     1317     1317     1317  \n",
+       "68     1614     1614     1614     1615     1615     1615     1615  \n",
+       "69     1524     1525     1525     1527     1528     1528     1528  \n",
+       "70    12062    12069    12074    12077    12094    12100    12107  \n",
+       "71    68289    68289    68289    68290    68290    68290    68290  \n",
+       "72     1181     1181     1181     1181     1181     1181     1181  \n",
+       "73      412      412      412      412      412      412      412  \n",
+       "74     1584     1586     1586     1587     1587     1589     1589  \n",
+       "75      937      937      937      937      937      937      937  \n",
+       "76      574      574      574      574      574      574      574  \n",
+       "77      443      443      444      445      446      446      446  \n",
+       "78       63       63       63       63       63       63       63  \n",
+       "79       77       77       77       77       77       77       77  \n",
+       "80       18       18       18       18       18       18       18  \n",
+       "81      669      669      669      669      669      669      669  \n",
+       "82      923      923      923      923      923      923      924  \n",
+       "83     2445     2451     2454     2462     2466     2471     2476  \n",
+       "84      256      256      256      256      258      258      259  \n",
+       "85     1185     1185     1185     1186     1187     1188     1188  \n",
+       "86      463      464      465      466      466      470      472  \n",
+       "87        1        1        1        1        1        1        1  \n",
+       "88        0        0        0        0        0        0        0  \n",
+       "89      980      980      980      980      980      980      980  \n",
+       "90     1014     1021     1031     1039     1047     1064     1067  \n",
+       "91     1428     1428     1429     1429     1429     1429     1430  \n",
        "\n",
-       "[5 rows x 588 columns]"
-      ],
+       "[34 rows x 590 columns]"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "infected[infected['Country/Region']=='China']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Pre-processing the Data \n",
+    "\n",
+    "We are not interested in breaking countries down to further territories, thus we would first get rid of this breakdown and add information on all territories together, to get info for the whole country. This can be done using `groupby`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1566,105 +1524,120 @@
        "</table>\n",
        "<p>5 rows × 588 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                     Lat       Long  1/22/20  1/23/20  1/24/20  1/25/20  \\\n",
+       "Country/Region                                                            \n",
+       "Afghanistan     33.93911  67.709953        0        0        0        0   \n",
+       "Albania         41.15330  20.168300        0        0        0        0   \n",
+       "Algeria         28.03390   1.659600        0        0        0        0   \n",
+       "Andorra         42.50630   1.521800        0        0        0        0   \n",
+       "Angola         -11.20270  17.873900        0        0        0        0   \n",
+       "\n",
+       "                1/26/20  1/27/20  1/28/20  1/29/20  ...  8/20/21  8/21/21  \\\n",
+       "Country/Region                                      ...                     \n",
+       "Afghanistan           0        0        0        0  ...   152448   152448   \n",
+       "Albania               0        0        0        0  ...   138132   138790   \n",
+       "Algeria               0        0        0        0  ...   190656   191171   \n",
+       "Andorra               0        0        0        0  ...    14988    14988   \n",
+       "Angola                0        0        0        0  ...    45583    45817   \n",
+       "\n",
+       "                8/22/21  8/23/21  8/24/21  8/25/21  8/26/21  8/27/21  8/28/21  \\\n",
+       "Country/Region                                                                  \n",
+       "Afghanistan      152448   152583   152660   152722   152822   152960   152960   \n",
+       "Albania          139324   139721   140521   141365   142253   143174   144079   \n",
+       "Algeria          191583   192089   192626   193171   193674   194186   194671   \n",
+       "Andorra           14988    15002    15003    15014    15016    15025    15025   \n",
+       "Angola            45945    46076    46340    46539    46726    46929    47079   \n",
+       "\n",
+       "                8/29/21  \n",
+       "Country/Region           \n",
+       "Afghanistan      152960  \n",
+       "Albania          144847  \n",
+       "Algeria          195162  \n",
+       "Andorra           15025  \n",
+       "Angola            47168  \n",
+       "\n",
+       "[5 rows x 588 columns]"
       ]
      },
+     "execution_count": 130,
      "metadata": {},
-     "execution_count": 130
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "infected = infected.groupby('Country/Region').sum()\n",
+    "recovered = recovered.groupby('Country/Region').sum()\n",
+    "deaths = deaths.groupby('Country/Region').sum()\n",
+    "\n",
+    "infected.head()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "You can see that due to using `groupby` all DataFrames are now indexed by Country/Region. We can thus access the data for a specific country by using `.loc`:|"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 131,
-   "source": [
-    "infected.loc['US'][2:].plot()\r\n",
-    "recovered.loc['US'][2:].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "infected.loc['US'][2:].plot()\n",
+    "recovered.loc['US'][2:].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "> **Note** how we use `[2:]` to remove first two elements of a sequence that contain geolocation of a country. We can also drop those two columns altogether:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 132,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "infected.drop(columns=['Lat','Long'],inplace=True)\r\n",
-    "recovered.drop(columns=['Lat','Long'],inplace=True)\r\n",
+    "infected.drop(columns=['Lat','Long'],inplace=True)\n",
+    "recovered.drop(columns=['Lat','Long'],inplace=True)\n",
     "deaths.drop(columns=['Lat','Long'],inplace=True)"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Investigating the Data\r\n",
-    "\r\n",
+    "## Investigating the Data\n",
+    "\n",
     "Let's now switch to investigating a specific country. Let's create a frame that contains the data on infections indexed by date:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 133,
-   "source": [
-    "def mkframe(country):\r\n",
-    "    df = pd.DataFrame({ 'infected' : infected.loc[country] ,\r\n",
-    "                        'recovered' : recovered.loc[country],\r\n",
-    "                        'deaths' : deaths.loc[country]})\r\n",
-    "    df.index = pd.to_datetime(df.index)\r\n",
-    "    return df\r\n",
-    "\r\n",
-    "df = mkframe('US')\r\n",
-    "df"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "            infected  recovered  deaths\n",
-       "2020-01-22         1          0       0\n",
-       "2020-01-23         1          0       0\n",
-       "2020-01-24         2          0       0\n",
-       "2020-01-25         2          0       0\n",
-       "2020-01-26         5          0       0\n",
-       "...              ...        ...     ...\n",
-       "2021-08-25  38223029          0  632272\n",
-       "2021-08-26  38384360          0  633564\n",
-       "2021-08-27  38707294          0  636720\n",
-       "2021-08-28  38760363          0  637254\n",
-       "2021-08-29  38796746          0  637531\n",
-       "\n",
-       "[586 rows x 3 columns]"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1760,185 +1733,166 @@
        "</table>\n",
        "<p>586 rows × 3 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "            infected  recovered  deaths\n",
+       "2020-01-22         1          0       0\n",
+       "2020-01-23         1          0       0\n",
+       "2020-01-24         2          0       0\n",
+       "2020-01-25         2          0       0\n",
+       "2020-01-26         5          0       0\n",
+       "...              ...        ...     ...\n",
+       "2021-08-25  38223029          0  632272\n",
+       "2021-08-26  38384360          0  633564\n",
+       "2021-08-27  38707294          0  636720\n",
+       "2021-08-28  38760363          0  637254\n",
+       "2021-08-29  38796746          0  637531\n",
+       "\n",
+       "[586 rows x 3 columns]"
       ]
      },
+     "execution_count": 133,
      "metadata": {},
-     "execution_count": 133
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "def mkframe(country):\n",
+    "    df = pd.DataFrame({ 'infected' : infected.loc[country] ,\n",
+    "                        'recovered' : recovered.loc[country],\n",
+    "                        'deaths' : deaths.loc[country]})\n",
+    "    df.index = pd.to_datetime(df.index)\n",
+    "    return df\n",
+    "\n",
+    "df = mkframe('US')\n",
+    "df"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 134,
-   "source": [
-    "df.plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df.plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Now let's compute the number of new infected people each day. This will allow us to see the speed at which pandemic progresses. The easiest day to do it is to use `diff`:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 135,
-   "source": [
-    "df['ninfected'] = df['infected'].diff()\r\n",
-    "df['ninfected'].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['ninfected'] = df['infected'].diff()\n",
+    "df['ninfected'].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We can see high fluctuations in data. Let's look closer at one of the months:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 136,
-   "source": [
-    "df[(df.index.year==2020) & (df.index.month==7)]['ninfected'].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df[(df.index.year==2020) & (df.index.month==7)]['ninfected'].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "It clearly looks like there are weekly fluctuations in data. Because we want to be able to see the trends, it makes sense to smooth out the curve by computing running average (i.e. for each day we will compute the average value of the previous several days):"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 137,
-   "source": [
-    "df['ninfav'] = df['ninfected'].rolling(window=7).mean()\r\n",
-    "df['ninfav'].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['ninfav'] = df['ninfected'].rolling(window=7).mean()\n",
+    "df['ninfav'].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "In order to be able to compare several countries, we might want to take the country's population into account, and compare the percentage of infected individuals with respect to country's population. In order to get country's population, let's load the dataset of countries:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 138,
-   "source": [
-    "countries = pd.read_csv(countries_dataset_url)\r\n",
-    "countries"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "           UID iso2 iso3  code3     FIPS      Admin2 Province_State  \\\n",
-       "0            4   AF  AFG    4.0      NaN         NaN            NaN   \n",
-       "1            8   AL  ALB    8.0      NaN         NaN            NaN   \n",
-       "2           12   DZ  DZA   12.0      NaN         NaN            NaN   \n",
-       "3           20   AD  AND   20.0      NaN         NaN            NaN   \n",
-       "4           24   AO  AGO   24.0      NaN         NaN            NaN   \n",
-       "...        ...  ...  ...    ...      ...         ...            ...   \n",
-       "4191  84056037   US  USA  840.0  56037.0  Sweetwater        Wyoming   \n",
-       "4192  84056039   US  USA  840.0  56039.0       Teton        Wyoming   \n",
-       "4193  84056041   US  USA  840.0  56041.0       Uinta        Wyoming   \n",
-       "4194  84056043   US  USA  840.0  56043.0    Washakie        Wyoming   \n",
-       "4195  84056045   US  USA  840.0  56045.0      Weston        Wyoming   \n",
-       "\n",
-       "     Country_Region        Lat       Long_             Combined_Key  \\\n",
-       "0       Afghanistan  33.939110   67.709953              Afghanistan   \n",
-       "1           Albania  41.153300   20.168300                  Albania   \n",
-       "2           Algeria  28.033900    1.659600                  Algeria   \n",
-       "3           Andorra  42.506300    1.521800                  Andorra   \n",
-       "4            Angola -11.202700   17.873900                   Angola   \n",
-       "...             ...        ...         ...                      ...   \n",
-       "4191             US  41.659439 -108.882788  Sweetwater, Wyoming, US   \n",
-       "4192             US  43.935225 -110.589080       Teton, Wyoming, US   \n",
-       "4193             US  41.287818 -110.547578       Uinta, Wyoming, US   \n",
-       "4194             US  43.904516 -107.680187    Washakie, Wyoming, US   \n",
-       "4195             US  43.839612 -104.567488      Weston, Wyoming, US   \n",
-       "\n",
-       "      Population  \n",
-       "0     38928341.0  \n",
-       "1      2877800.0  \n",
-       "2     43851043.0  \n",
-       "3        77265.0  \n",
-       "4     32866268.0  \n",
-       "...          ...  \n",
-       "4191     42343.0  \n",
-       "4192     23464.0  \n",
-       "4193     20226.0  \n",
-       "4194      7805.0  \n",
-       "4195      6927.0  \n",
-       "\n",
-       "[4196 rows x 12 columns]"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -2142,38 +2096,74 @@
        "</table>\n",
        "<p>4196 rows × 12 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "           UID iso2 iso3  code3     FIPS      Admin2 Province_State  \\\n",
+       "0            4   AF  AFG    4.0      NaN         NaN            NaN   \n",
+       "1            8   AL  ALB    8.0      NaN         NaN            NaN   \n",
+       "2           12   DZ  DZA   12.0      NaN         NaN            NaN   \n",
+       "3           20   AD  AND   20.0      NaN         NaN            NaN   \n",
+       "4           24   AO  AGO   24.0      NaN         NaN            NaN   \n",
+       "...        ...  ...  ...    ...      ...         ...            ...   \n",
+       "4191  84056037   US  USA  840.0  56037.0  Sweetwater        Wyoming   \n",
+       "4192  84056039   US  USA  840.0  56039.0       Teton        Wyoming   \n",
+       "4193  84056041   US  USA  840.0  56041.0       Uinta        Wyoming   \n",
+       "4194  84056043   US  USA  840.0  56043.0    Washakie        Wyoming   \n",
+       "4195  84056045   US  USA  840.0  56045.0      Weston        Wyoming   \n",
+       "\n",
+       "     Country_Region        Lat       Long_             Combined_Key  \\\n",
+       "0       Afghanistan  33.939110   67.709953              Afghanistan   \n",
+       "1           Albania  41.153300   20.168300                  Albania   \n",
+       "2           Algeria  28.033900    1.659600                  Algeria   \n",
+       "3           Andorra  42.506300    1.521800                  Andorra   \n",
+       "4            Angola -11.202700   17.873900                   Angola   \n",
+       "...             ...        ...         ...                      ...   \n",
+       "4191             US  41.659439 -108.882788  Sweetwater, Wyoming, US   \n",
+       "4192             US  43.935225 -110.589080       Teton, Wyoming, US   \n",
+       "4193             US  41.287818 -110.547578       Uinta, Wyoming, US   \n",
+       "4194             US  43.904516 -107.680187    Washakie, Wyoming, US   \n",
+       "4195             US  43.839612 -104.567488      Weston, Wyoming, US   \n",
+       "\n",
+       "      Population  \n",
+       "0     38928341.0  \n",
+       "1      2877800.0  \n",
+       "2     43851043.0  \n",
+       "3        77265.0  \n",
+       "4     32866268.0  \n",
+       "...          ...  \n",
+       "4191     42343.0  \n",
+       "4192     23464.0  \n",
+       "4193     20226.0  \n",
+       "4194      7805.0  \n",
+       "4195      6927.0  \n",
+       "\n",
+       "[4196 rows x 12 columns]"
       ]
      },
+     "execution_count": 138,
      "metadata": {},
-     "execution_count": 138
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "countries = pd.read_csv(countries_dataset_url)\n",
+    "countries"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Because this dataset contains information on both countries and provinces, to get the population of the whole country we need to be a little bit clever: "
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 139,
-   "source": [
-    "countries[(countries['Country_Region']=='US') & countries['Province_State'].isna()]"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "     UID iso2 iso3  code3  FIPS Admin2 Province_State Country_Region   Lat  \\\n",
-       "790  840   US  USA  840.0   NaN    NaN            NaN             US  40.0   \n",
-       "\n",
-       "     Long_ Combined_Key   Population  \n",
-       "790 -100.0           US  329466283.0  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -2226,224 +2216,234 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "     UID iso2 iso3  code3  FIPS Admin2 Province_State Country_Region   Lat  \\\n",
+       "790  840   US  USA  840.0   NaN    NaN            NaN             US  40.0   \n",
+       "\n",
+       "     Long_ Combined_Key   Population  \n",
+       "790 -100.0           US  329466283.0  "
       ]
      },
+     "execution_count": 139,
      "metadata": {},
-     "execution_count": 139
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "countries[(countries['Country_Region']=='US') & countries['Province_State'].isna()]"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 140,
-   "source": [
-    "pop = countries[(countries['Country_Region']=='US') & countries['Province_State'].isna()]['Population'].iloc[0]\r\n",
-    "df['pinfected'] = df['infected']*100 / pop\r\n",
-    "df['pinfected'].plot(figsize=(10,3))\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "pop = countries[(countries['Country_Region']=='US') & countries['Province_State'].isna()]['Population'].iloc[0]\n",
+    "df['pinfected'] = df['infected']*100 / pop\n",
+    "df['pinfected'].plot(figsize=(10,3))\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "\r\n",
-    "## Computing $R_t$\r\n",
-    "\r\n",
-    "To see how infectuous is the disease, we look at the **basic reproduction number** $R_0$, which indicated the number of people that an infected person would further infect. When $R_0$ is more than 1, the epidemic is likely to spread.\r\n",
-    "\r\n",
-    "$R_0$ is a property of the disease itself, and does not take into account some protective measures that people may take to slow down the pandemic. During the pandemic progression, we can estimate the reproduction number $R_t$ at any given time $t$. It has been shown that this number can be roughly estimated by taking a window of 8 days, and computing $$R_t=\\frac{I_{t-7}+I_{t-6}+I_{t-5}+I_{t-4}}{I_{t-3}+I_{t-2}+I_{t-1}+I_t}$$\r\n",
-    "where $I_t$ is the number of newly infected individuals on day $t$.\r\n",
-    "\r\n",
+    "\n",
+    "## Computing $R_t$\n",
+    "\n",
+    "To see how infectious is the disease, we look at the **basic reproduction number** $R_0$, which indicated the number of people that an infected person would further infect. When $R_0$ is more than 1, the epidemic is likely to spread.\n",
+    "\n",
+    "$R_0$ is a property of the disease itself, and does not take into account some protective measures that people may take to slow down the pandemic. During the pandemic progression, we can estimate the reproduction number $R_t$ at any given time $t$. It has been shown that this number can be roughly estimated by taking a window of 8 days, and computing $$R_t=\\frac{I_{t-7}+I_{t-6}+I_{t-5}+I_{t-4}}{I_{t-3}+I_{t-2}+I_{t-1}+I_t}$$\n",
+    "where $I_t$ is the number of newly infected individuals on day $t$.\n",
+    "\n",
     "Let's compute $R_t$ for our pandemic data. To do this, we will take a rolling window of 8 `ninfected` values, and apply the function to compute the ratio above:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 141,
-   "source": [
-    "df['Rt'] = df['ninfected'].rolling(8).apply(lambda x: x[4:].sum()/x[:4].sum())\r\n",
-    "df['Rt'].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['Rt'] = df['ninfected'].rolling(8).apply(lambda x: x[4:].sum()/x[:4].sum())\n",
+    "df['Rt'].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "You can see that there are some gaps in the graph. Those can be caused by either `NaN`, if  `inf` values being present in the dataset. `inf` may be caused by division by 0, and `NaN` can indicate missing data, or no data available to compute the result (like in the very beginning of our frame, where rolling window of width 8 is not yet available). To make the graph nicer, we need to fill those values using `replace` and `fillna` function.\r\n",
-    "\r\n",
+    "You can see that there are some gaps in the graph. Those can be caused by either `NaN`, if  `inf` values being present in the dataset. `inf` may be caused by division by 0, and `NaN` can indicate missing data, or no data available to compute the result (like in the very beginning of our frame, where rolling window of width 8 is not yet available). To make the graph nicer, we need to fill those values using `replace` and `fillna` function.\n",
+    "\n",
     "Let's further look at the beginning of the pandemic. We will also limit the y-axis values to show only values below 6, in order to see better, and draw horizontal line at 1."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 142,
-   "source": [
-    "ax = df[df.index<\"2020-05-01\"]['Rt'].replace(np.inf,np.nan).fillna(method='pad').plot(figsize=(10,3))\r\n",
-    "ax.set_ylim([0,6])\r\n",
-    "ax.axhline(1,linestyle='--',color='red')\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "ax = df[df.index<\"2020-05-01\"]['Rt'].replace(np.inf,np.nan).fillna(method='pad').plot(figsize=(10,3))\n",
+    "ax.set_ylim([0,6])\n",
+    "ax.axhline(1,linestyle='--',color='red')\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Another interesting indicator of the pandemic is the **derivative**, or **daily difference** in new cases. It allows us to see clearly when pandemic is increasing or declining. "
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 143,
-   "source": [
-    "df['ninfected'].diff().plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['ninfected'].diff().plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Given the fact that there are a lot of fluctuations in data caused by reporting, it makes sense to smooth the curve by running rolling average to get the overall picture. Let's again focus on the first months of the pandemic:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 150,
-   "source": [
-    "ax=df[df.index<\"2020-06-01\"]['ninfected'].diff().rolling(7).mean().plot()\r\n",
-    "ax.axhline(0,linestyle='-.',color='red')\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "ax=df[df.index<\"2020-06-01\"]['ninfected'].diff().rolling(7).mean().plot()\n",
+    "ax.axhline(0,linestyle='-.',color='red')\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "\r\n",
-    "## Challenge\r\n",
-    "\r\n",
-    "Now it is time for you to play more with the code and data! Here are a few suggestions you can experiment with:\r\n",
-    "* See the spread of the pandemic in different countries.\r\n",
-    "* Plot $R_t$ graphs for several countries on one plot for comparison, or make several plots side-by-side\r\n",
-    "* See how the number of deaths and recoveries correlate with number of infected cases.\r\n",
-    "* Try to find out how long a typical disease lasts by visually correlating infection rate and deaths rate and looking for some anomalies. You may need to look at different countries to find that out.\r\n",
+    "\n",
+    "## Challenge\n",
+    "\n",
+    "Now it is time for you to play more with the code and data! Here are a few suggestions you can experiment with:\n",
+    "* See the spread of the pandemic in different countries.\n",
+    "* Plot $R_t$ graphs for several countries on one plot for comparison, or make several plots side-by-side\n",
+    "* See how the number of deaths and recoveries correlate with number of infected cases.\n",
+    "* Try to find out how long a typical disease lasts by visually correlating infection rate and deaths rate and looking for some anomalies. You may need to look at different countries to find that out.\n",
     "* Calculate the fatality rate and how it changes over time. You may want to take into account the length of the disease in days to shift one time series before doing calculations"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## References\r\n",
-    "\r\n",
-    "You may look at further studies of COVID epidemic spread in the following publications:\r\n",
-    "* [Sliding SIR Model for Rt Estimation during COVID Pandemic](https://soshnikov.com/science/sliding-sir-model-for-rt-estimation/), blog post by [Dmitry Soshnikov](http://soshnikov.com)\r\n",
-    "* T.Petrova, D.Soshnikov, A.Grunin. [Estimation of Time-Dependent Reproduction Number for Global COVID-19 Outbreak](https://www.preprints.org/manuscript/202006.0289/v1). *Preprints* **2020**, 2020060289 (doi: 10.20944/preprints202006.0289.v1)\r\n",
+    "## References\n",
+    "\n",
+    "You may look at further studies of COVID epidemic spread in the following publications:\n",
+    "* [Sliding SIR Model for Rt Estimation during COVID Pandemic](https://soshnikov.com/science/sliding-sir-model-for-rt-estimation/), blog post by [Dmitry Soshnikov](http://soshnikov.com)\n",
+    "* T.Petrova, D.Soshnikov, A.Grunin. [Estimation of Time-Dependent Reproduction Number for Global COVID-19 Outbreak](https://www.preprints.org/manuscript/202006.0289/v1). *Preprints* **2020**, 2020060289 (doi: 10.20944/preprints202006.0289.v1)\n",
     "* [Code for the above paper on GitHub](https://github.com/shwars/SlidingSIR)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "source": [],
+   "metadata": {},
    "outputs": [],
-   "metadata": {}
+   "source": []
   }
  ],
  "metadata": {
-  "orig_nbformat": 4,
+  "interpreter": {
+   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.8.8 64-bit (conda)",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python",
-   "version": "3.8.8",
-   "mimetype": "text/x-python",
    "codemirror_mode": {
     "name": "ipython",
     "version": 3
    },
-   "pygments_lexer": "ipython3",
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
    "nbconvert_exporter": "python",
-   "file_extension": ".py"
-  },
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.8.8 64-bit (conda)"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
   },
-  "interpreter": {
-   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
-  }
+  "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 2
diff --git a/2-Working-With-Data/07-python/notebook-papers.ipynb b/2-Working-With-Data/07-python/notebook-papers.ipynb
index b801c7d..e48453a 100644
--- a/2-Working-With-Data/07-python/notebook-papers.ipynb
+++ b/2-Working-With-Data/07-python/notebook-papers.ipynb
@@ -2,53 +2,49 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "# Analyzing COVID-19 Papers\r\n",
-    "\r\n",
-    "In this challenge, we will continue with the topic of COVID pandemic, and focus on processing scientific papers on the subject. There is [CORD-19 Dataset](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) with more than 7000 (at the time of writing) papers on COVID, available with metadata and abstracts (and for about half of them there is also full text provided).\r\n",
-    "\r\n",
+    "# Analyzing COVID-19 Papers\n",
+    "\n",
+    "In this challenge, we will continue with the topic of COVID pandemic, and focus on processing scientific papers on the subject. There is [CORD-19 Dataset](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge) with more than 7000 (at the time of writing) papers on COVID, available with metadata and abstracts (and for about half of them there is also full text provided).\n",
+    "\n",
     "A full example of analyzing this dataset using [Text Analytics for Health](https://docs.microsoft.com/azure/cognitive-services/text-analytics/how-tos/text-analytics-for-health/?WT.mc_id=academic-31812-dmitryso) cognitive service is described [in this blog post](https://soshnikov.com/science/analyzing-medical-papers-with-azure-and-text-analytics-for-health/). We will discuss simplified version of this analysis."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 145,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "import pandas as pd\r\n",
-    "import numpy as np\r\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
     "import matplotlib.pyplot as plt"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Getting the Data\r\n",
-    "\r\n",
-    "First, we need get the metadata for CORD papers that we will be working with.\r\n",
-    "\r\n",
-    "**NOTE**: We do not provide a copy of the dataset as part of this repository. You may first need to download the [`metadata.csv`](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge?select=metadata.csv) file from [this dataset on Kaggle](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge). Registration with Kaggle may be required. You may also download the dataset without registration [from here](https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html), but it will include all full texts in addition to metadata file.\r\n",
-    "\r\n",
-    "We will try to get the data directly from online source, however, if it fails, you need to download the data as described above. Also, it makes sense to download the data if you plan to experiment with it further, to save on waiting time.\r\n",
-    "\r\n",
+    "## Getting the Data\n",
+    "\n",
+    "First, we need get the metadata for CORD papers that we will be working with.\n",
+    "\n",
+    "**NOTE**: We do not provide a copy of the dataset as part of this repository. You may first need to download the [`metadata.csv`](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge?select=metadata.csv) file from [this dataset on Kaggle](https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge). Registration with Kaggle may be required. You may also download the dataset without registration [from here](https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html), but it will include all full texts in addition to metadata file.\n",
+    "\n",
+    "We will try to get the data directly from online source, however, if it fails, you need to download the data as described above. Also, it makes sense to download the data if you plan to experiment with it further, to save on waiting time.\n",
+    "\n",
     "> **NOTE** that dataset is quite large, around 1 Gb in size, and the following line of code can take a long time to complete! (~5 mins)"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 146,
-   "source": [
-    "df = pd.read_csv(\"https://datascience4beginners.blob.core.windows.net/cord/metadata.csv.zip\",compression='zip')\r\n",
-    "# df = pd.read_csv(\"metadata.csv\")\r\n",
-    "df.head()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stderr",
+     "output_type": "stream",
      "text": [
       "C:\\winapp\\Miniconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3441: DtypeWarning:\n",
       "\n",
@@ -57,7 +53,6 @@
      ]
     },
     {
-     "output_type": "execute_result",
      "data": {
       "text/html": [
        "<div>\n",
@@ -279,30 +274,30 @@
        "4  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5...    NaN  "
       ]
      },
+     "execution_count": 146,
      "metadata": {},
-     "execution_count": 146
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df = pd.read_csv(\"https://datascience4beginners.blob.core.windows.net/cord/metadata.csv.zip\",compression='zip')\n",
+    "# df = pd.read_csv(\"metadata.csv\")\n",
+    "df.head()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We will now convert publication date column to `datetime`, and plot the histogram to see the range of publication dates."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 147,
-   "source": [
-    "df['publish_time'] = pd.to_datetime(df['publish_time'])\r\n",
-    "df['publish_time'].hist()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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@@ -310,50 +305,40 @@
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['publish_time'] = pd.to_datetime(df['publish_time'])\n",
+    "df['publish_time'].hist()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Interestingly, there are coronavirus-related papers that date back to 1880!"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Structured Data Extraction\r\n",
-    "\r\n",
+    "## Structured Data Extraction\n",
+    "\n",
     "Let's see what kind of information we can easily extract from abstracts. One thing we might be interested in is to see which treatment strategies exist, and how they evolved over time. To begin with, we can manually compile the list of possible medications used to treat COVID, and also the list of diagnoses. We then go over them and search corresponding terms in the abstracts of papers."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 148,
-   "source": [
-    "medications = [\r\n",
-    "    'hydroxychloroquine', 'chloroquine', 'tocilizumab', 'remdesivir', 'azithromycin', \r\n",
-    "    'lopinavir', 'ritonavir', 'dexamethasone', 'heparin', 'favipiravir', 'methylprednisolone']\r\n",
-    "diagnosis = [\r\n",
-    "    'covid','sars','pneumonia','infection','diabetes','coronavirus','death'\r\n",
-    "]\r\n",
-    "\r\n",
-    "for m in medications:\r\n",
-    "    print(f\" + Processing medication: {m}\")\r\n",
-    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))\r\n",
-    "    \r\n",
-    "for m in diagnosis:\r\n",
-    "    print(f\" + Processing diagnosis: {m}\")\r\n",
-    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       " + Processing medication: hydroxychloroquine\n",
       " + Processing medication: chloroquine\n",
@@ -376,30 +361,40 @@
      ]
     }
    ],
-   "metadata": {}
+   "source": [
+    "medications = [\n",
+    "    'hydroxychloroquine', 'chloroquine', 'tocilizumab', 'remdesivir', 'azithromycin', \n",
+    "    'lopinavir', 'ritonavir', 'dexamethasone', 'heparin', 'favipiravir', 'methylprednisolone']\n",
+    "diagnosis = [\n",
+    "    'covid','sars','pneumonia','infection','diabetes','coronavirus','death'\n",
+    "]\n",
+    "\n",
+    "for m in medications:\n",
+    "    print(f\" + Processing medication: {m}\")\n",
+    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))\n",
+    "    \n",
+    "for m in diagnosis:\n",
+    "    print(f\" + Processing diagnosis: {m}\")\n",
+    "    df[m] = df['abstract'].apply(lambda x: str(x).lower().count(' '+m))"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "We have added a bunch of columns to our dataframe that contain number of times a given medicine/diagnosis is present in the abstract. \r\n",
-    "\r\n",
-    "> **Note** that we add space to the beginning of the word when looking for a substring. If we do not do that, we might get wrong results, because *chloroquine* would also be found inside substring *hydroxychloroquine*. Also, we force conversion of abstacts column to `str` to get rid of an error - try removing `str` and see what happens.\r\n",
-    "\r\n",
+    "We have added a bunch of columns to our dataframe that contain number of times a given medicine/diagnosis is present in the abstract. \n",
+    "\n",
+    "> **Note** that we add space to the beginning of the word when looking for a substring. If we do not do that, we might get wrong results, because *chloroquine* would also be found inside substring *hydroxychloroquine*. Also, we force conversion of abstracts column to `str` to get rid of an error - try removing `str` and see what happens.\n",
+    "\n",
     "To make working with data easier, we can extract the sub-frame with only medication counts, and compute the accumulated number of occurrences. This gives is the most popular medication: "
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 149,
-   "source": [
-    "dfm = df[medications]\r\n",
-    "dfm = dfm.sum().reset_index().rename(columns={ 'index' : 'Name', 0 : 'Count'})\r\n",
-    "dfm.sort_values('Count',ascending=False)"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/html": [
        "<div>\n",
@@ -499,22 +494,23 @@
        "6            ritonavir    948"
       ]
      },
+     "execution_count": 149,
      "metadata": {},
-     "execution_count": 149
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfm = df[medications]\n",
+    "dfm = dfm.sum().reset_index().rename(columns={ 'index' : 'Name', 0 : 'Count'})\n",
+    "dfm.sort_values('Count',ascending=False)"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 150,
-   "source": [
-    "dfm.set_index('Name').plot(kind='bar')\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
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xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_7\">\r\n      <!-- ritonavir -->\r\n      <g transform=\"translate(259.79733 322.513562)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"41.113281\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"68.896484\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"108.105469\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"169.287109\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"232.666016\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"293.945312\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"353.125\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"380.908203\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_8\">\r\n     <g id=\"line2d_8\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"289.503409\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      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</g>\r\n    </g>\r\n    <g id=\"xtick_9\">\r\n     <g id=\"line2d_9\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"321.968864\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_9\">\r\n      <!-- heparin -->\r\n      <g transform=\"translate(324.728239 318.50575)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-68\"/>\r\n       <use x=\"63.378906\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"124.902344\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"188.378906\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"249.658203\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"290.771484\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"318.554688\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_10\">\r\n     <g id=\"line2d_10\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"354.434318\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_10\">\r\n      <!-- favipiravir -->\r\n      <g transform=\"translate(357.193693 330.83075)rotate(-90)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2375 4863 \r\nL 2375 4384 \r\nL 1825 4384 \r\nQ 1516 4384 1395 4259 \r\nQ 1275 4134 1275 3809 \r\nL 1275 3500 \r\nL 2222 3500 \r\nL 2222 3053 \r\nL 1275 3053 \r\nL 1275 0 \r\nL 697 0 \r\nL 697 3053 \r\nL 147 3053 \r\nL 147 3500 \r\nL 697 3500 \r\nL 697 3744 \r\nQ 697 4328 969 4595 \r\nQ 1241 4863 1831 4863 \r\nL 2375 4863 \r\nz\r\n\" id=\"DejaVuSans-66\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-66\"/>\r\n       <use x=\"35.205078\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"96.484375\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"155.664062\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"183.447266\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"246.923828\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"274.707031\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"315.820312\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"377.099609\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"436.279297\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"464.0625\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_11\">\r\n     <g id=\"line2d_11\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"386.899773\" xlink:href=\"#m2263dfa67e\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_11\">\r\n      <!-- methylprednisolone -->\r\n      <g transform=\"translate(389.659148 379.727625)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"97.412109\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"158.935547\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"198.144531\" xlink:href=\"#DejaVuSans-68\"/>\r\n      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3103 4656 3366 4563 \r\nz\r\n\" id=\"DejaVuSans-36\" transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-36\"/>\r\n       <use x=\"63.623047\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"127.246094\" xlink:href=\"#DejaVuSans-30\"/>\r\n       <use x=\"190.869141\" xlink:href=\"#DejaVuSans-30\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_5\">\r\n     <g id=\"line2d_16\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"46.0125\" xlink:href=\"#me5fd5945af\" y=\"66.548794\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_17\">\r\n      <!-- 8000 -->\r\n      <g transform=\"translate(13.5625 70.348013)scale(0.1 -0.1)\">\r\n       <defs>\r\n        <path d=\"M 2034 2216 \r\nQ 1584 2216 1326 1975 \r\nQ 1069 1734 1069 1313 \r\nQ 1069 891 1326 650 \r\nQ 1584 409 2034 409 \r\nQ 2484 409 2743 651 \r\nQ 3003 894 3003 1313 \r\nQ 3003 1734 2745 1975 \r\nQ 2488 2216 2034 2216 \r\nz\r\nM 1403 2484 \r\nQ 997 2584 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        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfm.set_index('Name').plot(kind='bar')\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Looking for Trends in Treatment Strategy\r\n",
-    "\r\n",
+    "## Looking for Trends in Treatment Strategy\n",
+    "\n",
     "In the example above we have `sum`ed all values, but we can also do the same on a monthly basis:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 151,
-   "source": [
-    "dfm = df[['publish_time']+medications].set_index('publish_time')\r\n",
-    "dfm = dfm[(dfm.index>=\"2020-01-01\") & (dfm.index<=\"2021-07-31\")]\r\n",
-    "dfmt = dfm.groupby([dfm.index.year,dfm.index.month]).sum()\r\n",
-    "dfmt"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/html": [
        "<div>\n",
@@ -960,29 +954,31 @@
        "             7                             50  "
       ]
      },
+     "execution_count": 151,
      "metadata": {},
-     "execution_count": 151
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfm = df[['publish_time']+medications].set_index('publish_time')\n",
+    "dfm = dfm[(dfm.index>=\"2020-01-01\") & (dfm.index<=\"2021-07-31\")]\n",
+    "dfmt = dfm.groupby([dfm.index.year,dfm.index.month]).sum()\n",
+    "dfmt"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "This gives us a good picture of treatment strategies. Let's visualize it!"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 152,
-   "source": [
-    "dfmt.plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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@@ -990,37 +986,30 @@
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfmt.plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "An interesting observation is that we have huge spikes at two locations: January, 2020 and January, 2021. It is caused by the fact that some papers do not have a clearly specified data of publication, and they are specified as January of the respecive year.\r\n",
-    "\r\n",
+    "An interesting observation is that we have huge spikes at two locations: January, 2020 and January, 2021. It is caused by the fact that some papers do not have a clearly specified data of publication, and they are specified as January of the respective year.\n",
+    "\n",
     "To make more sense of the data, let's visualize just a few medicines. We will also \"erase\" data for January, and fill it in by some medium value, in order to make nicer plot:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 153,
-   "source": [
-    "meds = ['hydroxychloroquine','tocilizumab','favipiravir']\r\n",
-    "dfmt.loc[(2020,1)] = np.nan\r\n",
-    "dfmt.loc[(2021,1)] = np.nan\r\n",
-    "dfmt.fillna(method='pad',inplace=True)\r\n",
-    "fig, ax = plt.subplots(1,len(meds),figsize=(10,3))\r\n",
-    "for i,m in enumerate(meds):\r\n",
-    "    dfmt[m].plot(ax=ax[i])\r\n",
-    "    ax[i].set_title(m)\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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@@ -1028,28 +1017,35 @@
        "<Figure size 1000x300 with 3 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "meds = ['hydroxychloroquine','tocilizumab','favipiravir']\n",
+    "dfmt.loc[(2020,1)] = np.nan\n",
+    "dfmt.loc[(2021,1)] = np.nan\n",
+    "dfmt.fillna(method='pad',inplace=True)\n",
+    "fig, ax = plt.subplots(1,len(meds),figsize=(10,3))\n",
+    "for i,m in enumerate(meds):\n",
+    "    dfmt[m].plot(ax=ax[i])\n",
+    "    ax[i].set_title(m)\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Observe how popularity of hydroxychloroquine was on the rise in the first few months, and then started to decline, while number of mentions of favipiravir shows stable rise. Another good way to visualize relative popularity is to use **stack plot** (or **area plot** in Pandas terminology):"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 154,
-   "source": [
-    "dfmt.plot.area()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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@@ -1057,29 +1053,28 @@
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfmt.plot.area()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "Even further, we can compute relative popularity in percents:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 155,
-   "source": [
-    "dfmtp = dfmt.iloc[:,:].apply(lambda x: x/x.sum(), axis=1)\r\n",
-    "dfmtp.plot.area()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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@@ -1087,48 +1082,50 @@
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "dfmtp = dfmt.iloc[:,:].apply(lambda x: x/x.sum(), axis=1)\n",
+    "dfmtp.plot.area()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "\r\n",
-    "## Computing Medicine-Diagnosis Correspondence\r\n",
-    "\r\n",
-    "One of the most interesting relationships we can look for is how different diagnoses are treated with different medicines. In order to visualize it, we need to compute **co-occurence frequency map**, which would show how many times two terms are mentioned in the same paper.\r\n",
-    "\r\n",
-    "Such a map is essentialy a 2D matrix, which is best represented by **numpy array**. We will compute this map by walking through all abstracts, and marking entities that occur there:"
-   ],
-   "metadata": {}
+    "\n",
+    "## Computing Medicine-Diagnosis Correspondence\n",
+    "\n",
+    "One of the most interesting relationships we can look for is how different diagnoses are treated with different medicines. In order to visualize it, we need to compute **co-occurence frequency map**, which would show how many times two terms are mentioned in the same paper.\n",
+    "\n",
+    "Such a map is essentially a 2D matrix, which is best represented by **numpy array**. We will compute this map by walking through all abstracts, and marking entities that occur there:"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 156,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "m = np.zeros((len(medications),len(diagnosis)))\r\n",
-    "for a in df['abstract']:\r\n",
-    "    x = str(a).lower()\r\n",
-    "    for i,d in enumerate(diagnosis):\r\n",
-    "        if ' '+d in x:\r\n",
-    "            for j,me in enumerate(medications):\r\n",
-    "                if ' '+me in x:\r\n",
+    "m = np.zeros((len(medications),len(diagnosis)))\n",
+    "for a in df['abstract']:\n",
+    "    x = str(a).lower()\n",
+    "    for i,d in enumerate(diagnosis):\n",
+    "        if ' '+d in x:\n",
+    "            for j,me in enumerate(medications):\n",
+    "                if ' '+me in x:\n",
     "                    m[j,i] += 1"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 157,
-   "source": [
-    "m"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "array([[4788., 2264.,  741., 2109.,  348., 2730.,  975.],\n",
@@ -1144,34 +1141,28 @@
        "       [ 660.,  336.,  293.,  385.,   53.,  452.,  148.]])"
       ]
      },
+     "execution_count": 157,
      "metadata": {},
-     "execution_count": 157
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "m"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "One of the ways to visualize this matrix is to draw a **heatmap**:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 158,
-   "source": [
-    "plt.imshow(m,interpolation='nearest',cmap='hot')\r\n",
-    "ax = plt.gca()\r\n",
-    "ax.set_yticks(range(len(medications))) \r\n",
-    "ax.set_yticklabels(medications)\r\n",
-    "ax.set_xticks(range(len(diagnosis)))\r\n",
-    "ax.set_xticklabels(diagnosis,rotation=90)\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "image/png": 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transform=\"scale(0.015625)\"/>\r\n       </defs>\r\n       <use xlink:href=\"#DejaVuSans-64\"/>\r\n       <use x=\"63.476562\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"91.259766\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"152.539062\" xlink:href=\"#DejaVuSans-62\"/>\r\n       <use x=\"216.015625\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"277.539062\" xlink:href=\"#DejaVuSans-74\"/>\r\n       <use x=\"316.748047\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"378.271484\" xlink:href=\"#DejaVuSans-73\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"xtick_6\">\r\n     <g id=\"line2d_6\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"246.671625\" xlink:href=\"#mf4b223099c\" y=\"273.312\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_6\">\r\n      <!-- coronavirus -->\r\n      <g transform=\"translate(249.431 338.754187)rotate(-90)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-63\"/>\r\n       <use 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    <use x=\"180.761719\" xlink:href=\"#DejaVuSans-68\"/>\r\n       <use x=\"244.140625\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"283.003906\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"344.185547\" xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"441.597656\" xlink:href=\"#DejaVuSans-79\"/>\r\n       <use x=\"500.777344\" xlink:href=\"#DejaVuSans-63\"/>\r\n       <use x=\"555.757812\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"583.541016\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_6\">\r\n     <g id=\"line2d_13\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"140.256\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_13\">\r\n      <!-- lopinavir -->\r\n      <g transform=\"translate(63.31875 144.055219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6c\"/>\r\n       <use x=\"27.783203\" xlink:href=\"#DejaVuSans-6f\"/>\r\n       <use x=\"88.964844\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"152.441406\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"180.224609\" xlink:href=\"#DejaVuSans-6e\"/>\r\n       <use x=\"243.603516\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"304.882812\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"364.0625\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"391.845703\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_7\">\r\n     <g id=\"line2d_14\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"164.448\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_14\">\r\n      <!-- ritonavir -->\r\n      <g transform=\"translate(64.414062 168.247219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"41.113281\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"68.896484\" xlink:href=\"#DejaVuSans-74\"/>\r\n  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     <use x=\"63.378906\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use x=\"124.902344\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"188.378906\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"249.658203\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"290.771484\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"318.554688\" xlink:href=\"#DejaVuSans-6e\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_10\">\r\n     <g id=\"line2d_17\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"237.024\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_17\">\r\n      <!-- favipiravir -->\r\n      <g transform=\"translate(56.096875 240.823219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-66\"/>\r\n       <use x=\"35.205078\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"96.484375\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"155.664062\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"183.447266\" xlink:href=\"#DejaVuSans-70\"/>\r\n       <use x=\"246.923828\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"274.707031\" xlink:href=\"#DejaVuSans-72\"/>\r\n       <use x=\"315.820312\" xlink:href=\"#DejaVuSans-61\"/>\r\n       <use x=\"377.099609\" xlink:href=\"#DejaVuSans-76\"/>\r\n       <use x=\"436.279297\" xlink:href=\"#DejaVuSans-69\"/>\r\n       <use x=\"464.0625\" xlink:href=\"#DejaVuSans-72\"/>\r\n      </g>\r\n     </g>\r\n    </g>\r\n    <g id=\"ytick_11\">\r\n     <g id=\"line2d_18\">\r\n      <g>\r\n       <use style=\"stroke:#000000;stroke-width:0.8;\" x=\"113.615625\" xlink:href=\"#m8f88a8ba07\" y=\"261.216\"/>\r\n      </g>\r\n     </g>\r\n     <g id=\"text_18\">\r\n      <!-- methylprednisolone -->\r\n      <g transform=\"translate(7.2 265.015219)scale(0.1 -0.1)\">\r\n       <use xlink:href=\"#DejaVuSans-6d\"/>\r\n       <use x=\"97.412109\" xlink:href=\"#DejaVuSans-65\"/>\r\n       <use 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@@ -1179,71 +1170,44 @@
        "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "plt.imshow(m,interpolation='nearest',cmap='hot')\n",
+    "ax = plt.gca()\n",
+    "ax.set_yticks(range(len(medications))) \n",
+    "ax.set_yticklabels(medications)\n",
+    "ax.set_xticks(range(len(diagnosis)))\n",
+    "ax.set_xticklabels(diagnosis,rotation=90)\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "However, even better visualization can be done using so-called **Sankey** diagram! `matplotlib` does not have built-in support for this diagram type, so we would have to use [Plotly](https://plotly.com/python/) as described [in this tutorial](https://plotly.com/python/sankey-diagram/).\r\n",
-    "\r\n",
-    "To make plotly sankey diagram, we need to build the following lists:\r\n",
-    "* List `all_nodes` of all nodes in the graph, which will include both medications and diagnosis\r\n",
-    "* List of source and target indices - those lists would show, which nodes go to the left, and which to the right part of the diagram\r\n",
-    "* List of all links, each link consisting of:\r\n",
-    "   - Source index in the `all_nodes` array\r\n",
-    "   - Target index \r\n",
-    "   - Value indicating strength of the link. This is exactly the value from our co-occurence matrix.\r\n",
-    "   - Optionally color of the link. We will make an option to highlight some of the terms for clarity\r\n",
-    "\r\n",
-    "Generic code to draw sankey diagram is structured as a separate `sankey` function, which takes two lists (source and target categories) and co-occurence matrix. It also allows us to specify the treshold, and omit all links that are weaker than that treshold - this makes the diagram a little bit less complex. "
-   ],
-   "metadata": {}
+    "However, even better visualization can be done using so-called **Sankey** diagram! `matplotlib` does not have built-in support for this diagram type, so we would have to use [Plotly](https://plotly.com/python/) as described [in this tutorial](https://plotly.com/python/sankey-diagram/).\n",
+    "\n",
+    "To make plotly sankey diagram, we need to build the following lists:\n",
+    "* List `all_nodes` of all nodes in the graph, which will include both medications and diagnosis\n",
+    "* List of source and target indices - those lists would show, which nodes go to the left, and which to the right part of the diagram\n",
+    "* List of all links, each link consisting of:\n",
+    "   - Source index in the `all_nodes` array\n",
+    "   - Target index \n",
+    "   - Value indicating strength of the link. This is exactly the value from our co-occurence matrix.\n",
+    "   - Optionally color of the link. We will make an option to highlight some of the terms for clarity\n",
+    "\n",
+    "Generic code to draw sankey diagram is structured as a separate `sankey` function, which takes two lists (source and target categories) and co-occurence matrix. It also allows us to specify the threshold, and omit all links that are weaker than that threshold - this makes the diagram a little bit less complex. "
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 160,
-   "source": [
-    "import plotly.graph_objects as go\r\n",
-    "\r\n",
-    "def sankey(cat1, cat2, m, treshold=0, h1=[], h2=[]):\r\n",
-    "    all_nodes = cat1 + cat2\r\n",
-    "    source_indices = list(range(len(cat1)))\r\n",
-    "    target_indices = list(range(len(cat1),len(cat1)+len(cat2)))\r\n",
-    "\r\n",
-    "    s, t, v, c = [], [], [], []\r\n",
-    "    for i in range(len(cat1)):\r\n",
-    "        for j in range(len(cat2)):\r\n",
-    "            if m[i,j]>treshold:\r\n",
-    "                s.append(i)\r\n",
-    "                t.append(len(cat1)+j)\r\n",
-    "                v.append(m[i,j])\r\n",
-    "                c.append('pink' if i in h1 or j in h2 else 'lightgray')\r\n",
-    "\r\n",
-    "    fig = go.Figure(data=[go.Sankey(\r\n",
-    "        # Define nodes\r\n",
-    "        node = dict(\r\n",
-    "        pad = 40,\r\n",
-    "        thickness = 40,\r\n",
-    "        line = dict(color = \"black\", width = 1.0),\r\n",
-    "        label =  all_nodes),\r\n",
-    "\r\n",
-    "        # Add links\r\n",
-    "        link = dict(\r\n",
-    "        source =  s,\r\n",
-    "        target =  t,\r\n",
-    "        value =  v,\r\n",
-    "        color = c\r\n",
-    "    ))])\r\n",
-    "    fig.show()\r\n",
-    "\r\n",
-    "sankey(medications,diagnosis,m,500,h2=[0])"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
       "application/vnd.plotly.v1+json": {
        "config": {
@@ -2274,61 +2238,97 @@
        }
       }
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "import plotly.graph_objects as go\n",
+    "\n",
+    "def sankey(cat1, cat2, m, treshold=0, h1=[], h2=[]):\n",
+    "    all_nodes = cat1 + cat2\n",
+    "    source_indices = list(range(len(cat1)))\n",
+    "    target_indices = list(range(len(cat1),len(cat1)+len(cat2)))\n",
+    "\n",
+    "    s, t, v, c = [], [], [], []\n",
+    "    for i in range(len(cat1)):\n",
+    "        for j in range(len(cat2)):\n",
+    "            if m[i,j]>treshold:\n",
+    "                s.append(i)\n",
+    "                t.append(len(cat1)+j)\n",
+    "                v.append(m[i,j])\n",
+    "                c.append('pink' if i in h1 or j in h2 else 'lightgray')\n",
+    "\n",
+    "    fig = go.Figure(data=[go.Sankey(\n",
+    "        # Define nodes\n",
+    "        node = dict(\n",
+    "        pad = 40,\n",
+    "        thickness = 40,\n",
+    "        line = dict(color = \"black\", width = 1.0),\n",
+    "        label =  all_nodes),\n",
+    "\n",
+    "        # Add links\n",
+    "        link = dict(\n",
+    "        source =  s,\n",
+    "        target =  t,\n",
+    "        value =  v,\n",
+    "        color = c\n",
+    "    ))])\n",
+    "    fig.show()\n",
+    "\n",
+    "sankey(medications,diagnosis,m,500,h2=[0])"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Conclusion\r\n",
-    "\r\n",
+    "## Conclusion\n",
+    "\n",
     "You have seen that we can use quite simple methods to extract information from non-structured data sources, such as text. In this example, we have taken the existing list of medications, but it would be much more powerful to use natural language processing (NLP) techniques to perform entity extraction from text. In [this blog post](https://soshnikov.com/science/analyzing-medical-papers-with-azure-and-text-analytics-for-health/) we describe how to use cloud services for entity extraction. Another option would be using Python NLP libraries such as [NLTK](https://www.nltk.org/) - an approach for extracting information from text using NLTK is described [here](https://www.nltk.org/book/ch07.html)."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Challenge\r\n",
-    "\r\n",
-    "Continue to research the COVID paper data along the following lines:\r\n",
-    "\r\n",
-    "1. Build co-occurrence matrix of different medications, and see which medications often occur together (i.e. mentioned in one abstract). You can modify the code for building co-occurrence matrix for medications and diagnoses.\r\n",
-    "1. Visualize this matrix using heatmap.\r\n",
-    "1. As a stretch goal, you may want to visualize the co-occurrence of medications using [chord diagram](https://en.wikipedia.org/wiki/Chord_diagram). [This library](https://pypi.org/project/chord/) may help you draw a chord diagram.\r\n",
-    "1. As another stretch goal, try to extract dosages of different medications (such as **400mg** in *take 400mg of cholroquine daily*) using regular expressions, and build dataframe that shows different dosages for different medications. **Note**: consider numeric values that are in close textual vicinity of the medicine name."
-   ],
-   "metadata": {}
+    "## Challenge\n",
+    "\n",
+    "Continue to research the COVID paper data along the following lines:\n",
+    "\n",
+    "1. Build co-occurrence matrix of different medications, and see which medications often occur together (i.e. mentioned in one abstract). You can modify the code for building co-occurrence matrix for medications and diagnoses.\n",
+    "1. Visualize this matrix using heatmap.\n",
+    "1. As a stretch goal, you may want to visualize the co-occurrence of medications using [chord diagram](https://en.wikipedia.org/wiki/Chord_diagram). [This library](https://pypi.org/project/chord/) may help you draw a chord diagram.\n",
+    "1. As another stretch goal, try to extract dosages of different medications (such as **400mg** in *take 400mg of chloroquine daily*) using regular expressions, and build dataframe that shows different dosages for different medications. **Note**: consider numeric values that are in close textual vicinity of the medicine name."
+   ]
   },
   {
    "cell_type": "markdown",
-   "source": [],
-   "metadata": {}
+   "metadata": {},
+   "source": []
   }
  ],
  "metadata": {
-  "orig_nbformat": 4,
+  "interpreter": {
+   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.8.8 64-bit (conda)",
+   "name": "python3"
+  },
   "language_info": {
-   "name": "python",
-   "version": "3.8.8",
-   "mimetype": "text/x-python",
    "codemirror_mode": {
     "name": "ipython",
     "version": 3
    },
-   "pygments_lexer": "ipython3",
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
    "nbconvert_exporter": "python",
-   "file_extension": ".py"
-  },
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.8.8 64-bit (conda)"
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
   },
-  "interpreter": {
-   "hash": "86193a1ab0ba47eac1c69c1756090baa3b420b3eea7d4aafab8b85f8b312f0c5"
-  }
+  "orig_nbformat": 4
  },
  "nbformat": 4,
  "nbformat_minor": 2
diff --git a/2-Working-With-Data/07-python/notebook.ipynb b/2-Working-With-Data/07-python/notebook.ipynb
index 2ce194c..17cfe15 100644
--- a/2-Working-With-Data/07-python/notebook.ipynb
+++ b/2-Working-With-Data/07-python/notebook.ipynb
@@ -2,45 +2,41 @@
  "cells": [
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Basic Pandas Examples\r\n",
-    "\r\n",
+    "## Basic Pandas Examples\n",
+    "\n",
     "This notebook will walk you through some very basic Pandas concepts. We will start with importing typical data science libraries:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "import pandas as pd\r\n",
-    "import numpy as np\r\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
     "import matplotlib.pyplot as plt"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "### Series\r\n",
-    "\r\n",
+    "### Series\n",
+    "\n",
     "Series is like a list or 1D-array, but with index. All operations are index-aligned."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 37,
-   "source": [
-    "a = pd.Series(range(1,10))\r\n",
-    "b = pd.Series([\"I\",\"like\",\"to\",\"use\",\"Python\",\"and\",\"Pandas\",\"very\",\"much\"],index=range(0,9))\r\n",
-    "print(a,b)"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "0    1\n",
       "1    2\n",
@@ -64,64 +60,63 @@
      ]
     }
    ],
-   "metadata": {}
+   "source": [
+    "a = pd.Series(range(1,10))\n",
+    "b = pd.Series([\"I\",\"like\",\"to\",\"use\",\"Python\",\"and\",\"Pandas\",\"very\",\"much\"],index=range(0,9))\n",
+    "print(a,b)"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "One of the frequent usage of series is **time series**. In time series, index has a special structure - typically a range of dates or datetimes. We can create such an index with `pd.date_range`.\r\n",
-    "\r\n",
+    "One of the frequent usage of series is **time series**. In time series, index has a special structure - typically a range of dates or datetimes. We can create such an index with `pd.date_range`.\n",
+    "\n",
     "Suppose we have a series that shows the amount of product bought every day, and we know that every sunday we also need to take one item for ourselves. Here is how to model that using series:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 38,
-   "source": [
-    "start_date = \"Jan 1, 2020\"\r\n",
-    "end_date = \"Dec 31, 2020\"\r\n",
-    "idx = pd.date_range(start_date,end_date)\r\n",
-    "print(f\"Length of index is {len(idx)}\")\r\n",
-    "items_sold = pd.Series(np.random.randint(25,50,size=len(idx)),index=idx)\r\n",
-    "items_sold.plot(figsize=(10,3))\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Length of index is 366\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "start_date = \"Jan 1, 2020\"\n",
+    "end_date = \"Dec 31, 2020\"\n",
+    "idx = pd.date_range(start_date,end_date)\n",
+    "print(f\"Length of index is {len(idx)}\")\n",
+    "items_sold = pd.Series(np.random.randint(25,50,size=len(idx)),index=idx)\n",
+    "items_sold.plot(figsize=(10,3))\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 39,
-   "source": [
-    "additional_items = pd.Series(10,index=pd.date_range(start_date,end_date,freq=\"W\"))\r\n",
-    "print(f\"Additional items (10 item each week):\\n{additional_items}\")\r\n",
-    "total_items = items_sold+additional_items\r\n",
-    "print(f\"Total items (sum of two series):\\n{total_items}\")"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Additional items (10 item each week):\n",
       "2020-01-05    10\n",
@@ -193,28 +188,28 @@
      ]
     }
    ],
-   "metadata": {}
+   "source": [
+    "additional_items = pd.Series(10,index=pd.date_range(start_date,end_date,freq=\"W\"))\n",
+    "print(f\"Additional items (10 item each week):\\n{additional_items}\")\n",
+    "total_items = items_sold+additional_items\n",
+    "print(f\"Total items (sum of two series):\\n{total_items}\")"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "As you can see, we are having problems here, because in the weekly series non-mentioned days are considered to be missing (`NaN`), and adding `NaN` to a number gives us `NaN`. In order to get correct result, we need to specify `fill_value` when adding series:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 40,
-   "source": [
-    "total_items = items_sold.add(additional_items,fill_value=0)\r\n",
-    "print(total_items)\r\n",
-    "total_items.plot(figsize=(10,3))\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "2020-01-01    26.0\n",
       "2020-01-02    25.0\n",
@@ -231,68 +226,64 @@
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "total_items = items_sold.add(additional_items,fill_value=0)\n",
+    "print(total_items)\n",
+    "total_items.plot(figsize=(10,3))\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 41,
-   "source": [
-    "monthly = total_items.resample(\"1M\").mean()\r\n",
-    "ax = monthly.plot(kind='bar',figsize=(10,3))\r\n",
-    "ax.set_xticklabels([x.strftime(\"%b-%Y\") for x in monthly.index], rotation=45)\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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UwsPDpWnTpmqahYWF1K9fX06ePJmdf4qIiIiIiEj11k9s/kl4eLiIiDg4OOilOzg4yP3799/4maSkJElKSlJ/j46Ozs4sERERERFRHpAjs6IpiqL3O4AsaTrTp08XOzs79cfV1TUnskREREREREYsWwMbR0dHEfnryY1ORERElqc4OmPHjpVXr16pP2FhYdmZJSIiIiIiygOyNbBxc3MTR0dHOXz4sJqWnJwsx44dEz8/vzd+xsLCQmxtbfV+iIiIiIiI3sZbv2MTGxsrt2/fVn8PDQ2VixcvSuHChaVEiRIybNgwmTZtmri7u4u7u7tMmzZNrK2tpWvXrtmacSIiIiIiIp23DmzOnTsnDRo0UH8fMWKEiIj06tVL1q5dK6NHj5aEhAQZMGCAREZGio+Pjxw6dEhsbGyyL9dERERERESZvHVgExAQIAD+druiKDJp0iSZNGnSu+SLiIiIiIjoX8uRWdGIiIiIiIhyEwMbIiIiIiLSPAY2RERERESkeQxsiIiIiIhI8xjYEBERERGR5jGwISIiIiIizWNgQ0REREREmsfAhoiIiIiINI+BDRERERERaR4DGyIiIiIi0jwGNkREREREpHkMbIiIiIiISPMY2BARERERkeYxsCEiIiIiIs1jYENERERERJrHwIaIiIiIiDSPgQ0REREREWkeAxsiIiIiItI8BjZERERERKR5DGyIiIiIiEjzGNgQEREREZHmMbAhIiIiIiLNY2BDRERERESax8CGiIiIiIg0j4ENERERERFpHgMbIiIiIiLSPAY2RERERESkeQxsiIiIiIhI8xjYEBERERGR5jGwISIiIiIizWNgQ0REREREmsfAhoiIiIiINI+BDRERERERaR4DGyIiIiIi0jwGNkREREREpHkMbIiIiIiISPMY2BARERERkeYxsCEiIiIiIs1jYENERERERJrHwIaIiIiIiDSPgQ0REREREWkeAxsiIiIiItI8BjZERERERKR5DGyIiIiIiEjzGNgQEREREZHm5Vhgs2TJEnFzcxNLS0upXr26nDhxIqf+FBERERER5XE5Eths3bpVhg0bJuPGjZMLFy6Iv7+/tGjRQh48eJATf46IiIiIiPK4HAls5syZI3379pV+/fpJxYoVZd68eeLq6ipLly7NiT9HRERERER5XL7s/geTk5Plzz//lM8++0wvvWnTpnLy5Mks+yclJUlSUpL6+6tXr0REJDo6+p3ykZ4U/06ff1fvmv93ldePX4RlYOjjF2EZGPr4RVgGef34RVgGhj5+EZZBXj9+EZbBuxy/7rMA/u+dkc0ePXoEEcHvv/+ulz516lSUK1cuy/4TJ06EiPCHP/zhD3/4wx/+8Ic//OHPG3/CwsL+zzgk25/Y6CiKovc7gCxpIiJjx46VESNGqL+np6fLy5cvpUiRIm/cPzdER0eLq6urhIWFia2trUHyYEh5/fhFWAYiLIO8fvwiLIO8fvwiLIO8fvwiLAMRloGhjx+AxMTEiLOz8/+5b7YHNkWLFhVTU1MJDw/XS4+IiBAHB4cs+1tYWIiFhYVeWsGCBbM7W/8TW1vbPHkC6+T14xdhGYiwDPL68YuwDPL68YuwDPL68YuwDERYBoY8fjs7u3+1X7ZPHmBubi7Vq1eXw4cP66UfPnxY/Pz8svvPERERERERZf8TGxGRESNGSI8ePaRGjRpSu3ZtWbFihTx48ED69++fE3+OiIiIiIjyuBwJbLp06SIvXryQL7/8Up48eSJVqlSR/fv3S8mSJXPiz2U7CwsLmThxYpYhcnlFXj9+EZaBCMsgrx+/CMsgrx+/CMsgrx+/CMtAhGWgpeNXgH8zdxoREREREdF/V44s0ElERERERJSbGNgQEREREZHmMbAhIiIiIiLNY2BDRERERESax8Amh3FuBiKivFsX5tXjzgyAWg4sDyLKSZwVLRudP39eXr16JUlJSeLv7y/58+cXkYyKXFEUA+cu9+S146WsMp8D6enpYmLCPhSdvHB9nDx5Uh4/fixJSUlSp04dKVWqlIjkjXMhOjpakpKSxN7eXk3LC8dN/4x14l/yQh1I/ywnzwEGNtlk5cqV8tlnn4mTk5MEBwdLQECAdO7cWV2UNK9cyLoK+9WrVxIVFSUFChSQ/Pnzi6WlZZ4pg8xeP+a8UgbR0dFiamqqBvd52fPnzyUhIUEcHBzE3NxcRIy7YbNq1SoZMWKEVK5cWc6fPy+enp7SqFEjmTZtmogY97GvX79eVq1aJSEhIeLr6yu+vr4yevRoETHu4/4ne/bskZ9++kliY2PF29tbPvroI7GxsRGRvFMfioi8ePFCrKysRETE2trawLnJXQ8fPpRz586Joiji7u4ulSpVMnSW/hPyYp2gO2bdtZ8TZcDAJhv88ccf0qpVK1m0aJE0btxYYmJiZOzYsXL37l1p0qSJfPXVVyJi/JW47gS9cuWKdO/eXZKTkyU2Nlbq168vQ4cOlZo1a+aZC/nGjRuyZMkSuX//vvj5+UmtWrWkQYMGImL858HGjRtl6dKlEh0dLfnz55exY8dKnTp1pGjRokZ/7K9bu3atLFq0SMLCwqRixYpSq1YtmT59upiamkpaWpqYmpoaOovZ6urVq9K0aVOZPXu2vPfeexIVFSVz586Vffv2iZeXl6xfv15EjPMa2LFjh3Tv3l2mT58uNjY2curUKTl27Jh4enrK999/LyJ5ryGzfv166d+/v3Tq1EmSk5Nl79694ufnJyNHjpTmzZuLiHGeC6/bsGGDLFy4UOLj40VRFJk0aZLUr19fihYtauis5bjLly9L8+bNpXDhwhITEyPPnj2TyZMnS+/evfWeahq7kJAQ2b59uzx9+lSqVasmLVq0kGLFiuWpOuHmzZuybNkyefnypZQoUUKCgoLE1dU1+/8Q6J1t2bIF5cuXR3R0tJoWHh6OMWPGoHr16pgxY4YBc5e7wsLC4ODggKFDh+L06dOYP38+AgMDUbRoURw5cgQAkJaWZuBc5qxr166hYMGC6NChA3r06IGKFSuiRo0a+Oqrr9R90tPTDZjDnLNjxw5YWFhgxowZWL9+PTp06IBy5cph+PDhuHfvnqGzl6t2794NS0tLLF68GHv27MHIkSPh4eEBPz8/pKSkADC+a+HQoUMoWbIkwsPD1bSoqCgsW7YMlStXxsCBAw2Yu5yTlpaGTz75BEOHDlXTXr16he3bt8PR0RFt2rRR04312s8sPT0dT58+hbe3N5YuXaqm37t3DzVr1kS9evWwd+9eA+Yw9/zwww+wtLTEggULsGrVKgwYMAD58+fH8OHDcePGDUNnL0e9ePECVatWxejRoxEdHY379+9j4cKFyJcvHwYMGICwsDBDZzFXXL16FQULFkS7du3g6emJ6tWro2TJkrh06ZKhs5Zrrl27Bjs7O3Tt2hXNmzeHn58f7OzssHv37my/DzKwyQa7d+9GqVKlcP36dQBAamoqAODZs2f45JNP4Ofnh+DgYENmMdfs27cPPj4+iImJUdOuXbuGXr16wcrKCseOHQNgvDf3lJQUBAUFoVevXmranTt3MH78eLi5uWH8+PGGy1wOSk9PR0pKCt5//329xh0ATJ8+HTVq1MCgQYPw6NEjw2TQAEaPHo1+/fqpvyclJeHw4cOoWLEiatasqdYTxnQtnD17FiVKlMDhw4f10qOjozFz5kx4e3vj4MGDBspdzmratCkCAwP10pKSkrBz5064ublh5MiRBsqZYURFRaFcuXL47rvvAADJyckAgEePHqF27dqoX78+7t69C8C4rgEd3TH16dNHrx4AgG+//RalS5fGkCFD8ODBA0NkL1c8fvwYFSpUwK+//qqXvmvXLpibm2PEiBFIS0szyu9fJykpCa1bt0bv3r3VtPPnz6N9+/awtbXF77//DsD4OrkyS0tLQ/fu3dGlSxc17dmzZxgwYAAsLCzUOiK7zoO88fwrh1WtWlViYmJkzZo1IiJiamoq6enpUrRoUZk8ebLcuHFDDhw4YOBc5o64uDi5cOGCvHz5Uk2rWLGiTJw4UTp16iQDBgyQkJAQox16kC9fPgkNDZW0tDQ1rXTp0jJw4EDp06eP7NixQ1asWGHAHOYMRVEkX758kpSUJFFRUSIikpKSIiIin332mXTp0kWOHTsme/fuFZGMITnG7uHDh3L16lX1d3Nzc2nYsKEsXrxYkpKSpE+fPkY3DKd48eJiZ2cn69atk1evXqnpNjY20r9/f0lKSpJffvnFgDnMfrpzuVWrVvLixQs5d+6cus3c3FwaN24svXv3ltOnT0tERIShsmkQqamp6jVgZmYmKSkp4uzsLDt27JBr167JggULRESM6hp4XVRUlKSmpoqISHJysoiI9OvXTz7//HP57rvvZN++fSJinHViXFychIaGSnx8vIhk3BPS09Olbdu2smHDBpk7d67s3bvXqL//tLQ0efr0qXh6eqppXl5esnLlSmnVqpW0atVKQkND1fdOjJGiKPL06VMpXbq0iGQMPy1atKgsXrxYBg4cKP369ZPTp0+r79y8KwY2/4O4uDi9m7abm5ssXLhQZs+eLfPmzRORjC8SgNjb24u/v788fvzYQLnNHboLsmrVqlKlShXZsWOHWpmJZJRRUFCQmJuby8WLFw2Uy5ylKwNvb2+JjIyUp0+fqtscHR2lV69eUrNmTdmzZ49e2RiT4sWLy++//y5JSUliZmYmSUlJIiIyatQoqVOnjkyfPl1SUlKMekyxrmJu1qyZpKSk6DXkTUxMxM/PT/r16yfXrl2T+/fvGyqb2SIyMlKePHmiTufr6OgoCxculM2bN8tXX32ld57b2NhI7dq1JTw83IA5zn66c9nf31+ePn0qS5culbCwMHW7jY2NtG7dWk6ePCk3b940VDZznZ2dnYwfP17mz58vW7duFRFR6wQnJyeZNGmS/PTTT/LixQujbNTrGuseHh6yZ88eefHihZibm6sdPn379pXBgwfL+PHjJTw83KjqRN29sGzZsvLBBx/I6NGjJSQkRMzMzASApKWlSefOnSUoKEgWL14s8fHxRtuot7KyEkdHRzl8+LB6jIqiSOHChWXWrFlSo0YNGTJkiCQmJhptgKcoihQvXlx+/PFHSUlJEUVR1M7fb775Rtq0aSNBQUESExOTLdeB8VxJuWT79u3SsWNH8fHxkWbNmqm9Ue+99558/fXXMmLECJkyZYpERUWJoiiSmJgoDx48kCJFihg459nr9RuR7oKsWLGiVK9eXRYuXCi//vqrWomLiNStW1dMTU3l559/ztW85hZdGTRs2FCOHDki69atU3vqRER9WW7//v1y48YNQ2UzR02dOlXS0tKkQ4cOIiJiYWEhiYmJIiLyxRdfSHR0tJw5c8aQWcxxuoo5ICBAUlJSZN68eXoNWgsLC2nbtq1cvnxZLl++bKhsvrPNmzdL27ZtxcfHR3x9fWXv3r2SnJws9evXl++++07mzZsnw4cPl+DgYBHJ6BC6evWqODo6Gjjn7+6XX36RuXPnysiRI+XYsWMSHx8v3t7esmTJElm/fr1MmTJFrl27pu5fsGBB8fT0lAIFChgw1zkrODhYTpw4oT6BEBFp3Lix9OrVS8aNGyfbtm0TkYzzX/dfW1tbyZ8/v1E16l83cOBAqVChgrRv315evnwpZmZmap3YvXt3sbS0lJCQEAPnMnvEx8dLfHy8PHv2TE3r0aOHFCtWTMaMGSOhoaFiamqq3iuLFSsm8fHxYm1tbbSNehGRli1bypMnT2Tt2rV6bSIXFxfp3Lmz3Lp1S6+z3Bh16dJFzMzMZMqUKZKYmKhOoCMi8uGHH0p0dLReh9A7yZYBbXnE2rVrYWdnh6+++grffvstvLy84OPjo25PTk7Gt99+CwsLC9SrVw/NmjVDvXr1UKlSJfVlYWOgGwt669YtjBs3Dm3btsX8+fNx4cIFdZ+mTZvCxcUF27dvR2xsrJrerl07TJs2LbeznGOePHmC33//HTt37kRkZKQ6RnTevHkwNTXFokWLEBcXp+5/9+5dVK1aFZcvXzZUlrPNr7/+ijlz5mDw4MH4888/AWScGz/++COcnJzQunVrvf2vXLkCd3d3XLx40RDZzVE//fQTJk+ejG7dumH37t2IiIgA8NdLo61bt8aZM2fU/R89egRvb28cP37cUFl+Jxs2bICtrS3mzp2LPXv2oHnz5qhSpYreBCoHDx6Eg4MDqlevDi8vL9SuXRuVK1fWfF24evVqFClSBB07dkTJkiXh7e2NLVu2qNf+/v37UaxYMbRs2RJTpkzB/v370bhxY9SoUcNox9GvWbMG5cuXR5kyZVC0aFE0adJE3Xbx4kV89NFHKFq0KObMmYP79+/jwYMHaNGiBdq2bWtU71f88ssvmDp1KoYNG4Yff/wRQEaduHPnTvj6+qJRo0aIjIxU97979y7Kli2LkydPGijH2Sc4OBht2rSBp6cnfH19MX/+fHXbypUr4e/vj+bNm+PatWtq+uDBgxEYGIj4+HijOQ+eP3+OS5cu4fLly+p9ID4+Hh06dED16tWxefNmxMfHq/v/8ccfKF26NEJCQgyV5WwXHh6Oo0eP4tdff8Xt27cBZLxrNGLECNSoUQPTpk3Tew/75s2bcHNzU9sR74qBzb/0xx9/oGLFili9erWaFh4ejmLFiuGnn37S2/fSpUv44osv8PHHH2PixInqjVz3srCW6W7MV65cQbFixfDee++hbdu2KFu2LIKCghAVFaXu265dO5QrVw7vv/8+Zs2ahY8//hi2trbqJAtad/nyZZQrVw7VqlWDoiioV68e/vjjD3X7tGnToCgKRo0ahV9//RXh4eEYPXo0SpQooTdrlBatWrUKzs7OaNKkCby8vGBmZqbenOPj47Fr1y64urrC29sb69atw65du9CyZUv4+voaXeNu9erVKFSoEHr27Alvb29UrFgRy5cvV4/z6tWrcHNzg7+/P4YMGYLvvvsODRs2hLe3tybrhEuXLsHT0xPLly9X09LS0uDg4IC1a9eqvwMZnR9r167FmDFjsGDBArUu1Gpw8+OPP6JYsWLYsWOHmtaqVSu0aNECwF8vv546dQpBQUFwdXVFzZo10bx5c/XleWM7/7dt2wYbGxts3boV169fx2+//YZSpUph1qxZ6j537tzBzJkzkT9/fjg7O8Pd3R01atQwqjJZtWoVHBwc0KpVK9SpUweKomDLli0AMs73bdu2wcfHB66urli7di02btyIli1bolatWpqsBzILDg5GoUKFMHz4cCxYsABjxoxByZIl9dpGmzdvRosWLWBlZYXAwEA0adIENjY2RtXRdfnyZXh4eKBy5cooVKgQunXrpnb4xsbGonnz5qhVqxYmT56M6OhoREVFYfTo0ahatSpevnxp2Mxnk8uXL6NChQrw8PCAvb096tati6NHjwIAEhIS0L9/f/j4+KBXr16IiIhAWFgYPv/8c5QtWxZPnz7NljwwsPmX1qxZg4YNG6oFn5aWhvj4eJQvXx47d+5U99NV0K/3Pmi94srs4cOH6hSOOrt27UKBAgVw5coVvX3nzZuHLl26wMPDA61btzaaSiwkJATOzs4YP348wsLC8PjxY5QrV05v5hMAWLduHTw8PFC4cGFUqlQJxYsXx/nz5w2U6+yxb98+2NvbY9u2bUhKSgIA9OjRA/7+/mpPVGpqKu7evYtWrVqhXLlyqFy5Mlq0aKE2ZIzlejh48CCcnJzw/fffq2l9+/ZFtWrVAPxVH9y9exeffvopPD094efnh/bt22u2LHbv3o3WrVur03enpKQgPT0dtWvXxrJlywBk1H9/1wOrtePViY6OxuDBgzFq1CgkJSWp39/hw4dRoUIFxMTE6M3wlJKSgqioKDx79kwvzZjcv38fAQEBer3ziYmJ6NChA4KCgrLsf/fuXRw8eBBHjx5VzwNjKJP9+/fDwcEBW7duBZDRiB05ciQaN26sdvalpaXhxo0b6Nu3L0qVKoVq1aohMDBQs/WAzvPnz9GgQQOMGDFCTXv06BF8fX0xe/ZsvX0fPXqEZcuWoX///hg/frzRdHICGU8dHBwc8Omnn+LmzZtYt24dateujUWLFqn7xMXFYdCgQfD09IS5uTlq1aoFe3t7zbcJdEJCQuDk5ITRo0fj8ePHOHToENq3b49PP/1Uvc4TExPxzTffoGbNmlAUBVWqVIGLi0u2Pa0BGNj8a0lJSdi+fbv6u64yqlOnjl7vXeZtxig9PR2bN29Ghw4dcPv2bfWGnZ6ejmrVqqk9NK+XQWxsLBITE3M9vzkhISEBgwYNwocffoiEhAT1hrR582aUL18esbGxejep+/fv48yZMzh+/DgeP35sqGxni1evXqFr164YNWqUXvrq1atRtWrVN37m0aNHePr0qdE17uLi4vDZZ59h2LBhiIuLU8/5CxcuwN3dHc+fPwfwV4MlLS0NSUlJePXqlfpvaLEskpOTsW/fPvV33fG1b99eb80SIONaMRapqamYMmWK3rEDwPHjx2Fra/t/XtvG8FTidc+fP0evXr2yTOE9Y8YMdTiart5/0/FrtTGfWWxsLPr164cBAwbopX/33XcoVarUG6+Bx48fIzo62ijqxGvXriEwMBCHDh3SSx8wYIC67IGuA8xYxcbGonv37ujTp49e+sCBA1GtWjWkpKToBfL379/H+vXrsX//fqNZ3y0hIQFBQUHo1q2b3rU+ZcoUlC5dWu86SEtLQ0JCAn788UecPn0629czypc9b+oYJ92LTaampmJubi6dOnUSkYwZP8zMzEREJDExUZ39CoCMHDlSWrdura4ybyzw/6elVRRFnJ2dxd/fX8qUKaNuT09Pl8TERHn06JGIiFo+Ovnz58/V/Oa0tLQ08fX1FUtLSzWtaNGi8vz5c0lISBBra2u1zEqUKCElSpQwYG6zj62trfj5+WX5Pj09PeXVq1cSFRUlBQoUkHz58qkrKjs7O6v7paenS758xlHtWFtbi7Ozs5QsWVKsra3V9Hz58smTJ08kKipKihQpIqampiKSMamAubm5mJubi0jGNaWVsoiLi1NnNLKwsJBWrVqJSMYx6I4vJiZGnjx5oqb3799f/P39pXv37gbLd3YyNTWVTz/9VH35XXd+29vbS+HChfXqgo0bN0rHjh3FyspKTTPGF+Tt7Ozk66+/VieE0NV5JiYm6gQzuvKKjY0VW1tbvc/rzh0ty58/vzRs2DDLy++enp4CQOLj48XCwkKdKVVRFHFwcFDPB63XiUWLFpWhQ4dK48aNRSTj3mhqaiomJibq9Na6Ok8HRjbNfXx8vBQqVEjq1asnIn+VQaNGjeSPP/4Qkb+WAcmXL5+UKFFCevToYcgsZ7vU1FRxcXGR4sWLq9e/iYmJNG3aVDZt2iTJycliaWkpAMTExEQsLS2lZcuWOZIX7V5NOWzbtm1y4MABuXnzpgQGBkq9evWkTp066vbMFbhupptWrVrJpUuXZObMmYbKdrbTnZyZK6F69epJ3bp1ReSvcjA1NRUbGxu9G9X69evFzc1N/P39cz3fOcnS0lKmTJmiznSnK6NixYpJsWLFxNbWVi2vK1euSOXKlY2qUTNw4MAsaboZTlJTU9Wb9K+//ip16tTRa/AZUzmIiAwePFj9f921YGtrK7a2tnrB/dKlS+W9996TokWLqmlaubFv2rRJtm3bJnfv3pXatWtL69atJTAwUEREr7FmZmYmNjY2IpJRF169elUWL15syKy/s1OnTsnNmzfF2tpaKlasKFWrVlW36b4/MzMzMTExURvwTZo0keTkZOnatatB8pzTHjx4IKmpqWJraytFixZVg5q0tDT1+k5NTdWbvtfPz0+qVKlilGt4iWTMivp6cGJtbS3p6ekSHx8vhQsXFhGR/fv3S6tWrfTqQS3WiZnreXt7ezWoSU9PV9sA1tbWeus2ffrpp+Ls7CzDhw/XTN33b9nb20vXrl3F19dXRP6qGwoXLizp6emSnp6uNugfPnwoxYsXN2R2c0SBAgWkU6dOUqlSJRH5qwwKFCgg6enpap2gKIrcvXtXXdMmJ2jvisoFGzdulF69eom9vb24ubnJwYMHpWvXrvLdd9+JSMYXpuuJsLGxUZ/m3L17V+7duyf58uXTW6BRq3QN9jt37sisWbPkq6++krVr14rIX5WxrmEjIurUnSIiY8eOlYEDBxrF1K4iIi9evJArV65IaGiovHz5UooUKaLOx5+55y02NladyvPzzz+XQYMGaX4ax9OnT8uuXbtk+/bt8uDBAzU987SViYmJki9fPrXhHhAQIGPGjFEbe8bi2LFjMn/+fFm2bJn8+uuvb9zHwsJCrKys1GuhSZMmsm7dOrVxoyVbtmyRvn37iq+vrzRp0kRevXolHTp0kLlz56r76KY0L1SokFhYWEjHjh3lzp07cufOHU3XhatWrZLAwECZP3++fP755+Lv7y+LFy9Wj0d3446KipJXr17JixcvpE2bNnL//n35+eefjXLBvTVr1kiDBg2kcePG4ubmJqNGjZLTp0+LiP7Tl8zXfbNmzeTly5eyaNGiXM9vTvntt99k+/btsnTpUnny5In6dCrz9P5xcXGSmpoqhQoVEhGRRo0ayaBBgzR/Tly7dk26du0qLVq0kNatW8vx48fVe1zmgMXS0lItl3HjxsmcOXPEz8/PIHnOCVFRUfL8+XP1nqgLajK3CaKiouTZs2eSmpoqiqLI5MmTpWvXrkazbs+LFy/k/v376rIFuqAmLS1Nr36MjIxUO8i/+OILadCggcTExORcGWTrwDYjEBMTg6ZNm2LGjBlq2tWrVzFy5EiYmppi/fr1evvXrVsXiqKgYsWK6hh7LY+Xfd3Vq1dRqFAhNGvWDJUqVULJkiXh4+OTZWrCtLQ01KhRA9999x2mTJkCKysrnD171kC5zl6XLl1ChQoVULZsWbi4uKBevXpvnJ7zzJkzsLW1RXR0NCZMmAAzMzPNl8HKlSthZ2eHWrVqwczMDL6+vpg4caK6XTdu+I8//kCZMmXw6tUrNG/eXO96MJZpPFetWgU7Ozv4+/ujYsWKKFCgAEaPHq03nTeQ8QKlvb09bty4gTZt2qBcuXKanP0pOTkZHTt2xGeffaamPXv2DN988w1MTU316kgAaNOmDRRFQeXKlTVfF166dAnFihXD5s2bkZycjLt372LGjBkwMTHB2LFj9d4XvHr1KkqUKAFvb2+4u7tr/tj/zqFDh5A/f36sXLkSly5dwqJFi+Dn54cGDRpg//79evsuXrwYAQEBCAwMRJkyZYyqTL799lvY2dnB19cX+fPnR+XKlTFhwgS9SQLS09Nx8eJFlCpVCi9fvkRgYCAqVaqk+Trx5s2bsLW1RY8ePTBhwgTUq1cPZcuWxdixY/Hw4UMAf90TRo4cid69e2P27NmwsLDI1pfDDe3SpUuoVasWypQpg/Lly6Nv3756M53qvt+ffvoJ5cqVAwBMnDgRZmZmRlMOly5dQuXKlVG2bFnY29urSxq8fo6fO3cOrq6uSElJwaRJk3KlbcjA5jWRkZFwdXXVm6oSyJjaedSoUShSpIj6gnxaWhoCAgLg7u6u+WlM3yQhIQENGzbERx99BCBjVqBLly6hZs2aWdYj0ZVFyZIljSqoefToEVxcXDBq1CgEBwdjy5YteP/995EvXz51MgldY/XixYvw9vbGkCFDYGFhgXPnzhky6+/s0qVLcHR0xHfffYfExEQ8fPgQn376KSpXrox+/frp7atr3Hl5eaF06dJG1ZABMm7oLi4uasdGeHg4Nm7cCCsrK/Ts2VNvmvO7d+/CyckJ5cqV0wtqtFYW8fHxqFKlil5gA2Qcx/z586EoCjZt2gQg4ybWp08f1KxZ0yjqwt9//x0VKlTIMi37hg0bYGJigq+//lpNCw4OhqIo8PPz0+x3/U90DZSJEyciMDBQb9vPP/+M9u3bw9/fH7/++quaPn36dCiKAh8fH6Mqk8uXL6N48eLYtm2bOgPk8OHD4evri169eunVA/fu3UOpUqVQoUIFo6gT09PTMXz4cHTo0EEvfcKECahevTqGDh2KJ0+eqOljxoyBoiiws7MzmvYAkPG9FitWDKNHj8aOHTuwbt06uLi4oHr16jhx4oRe59Xvv/+OgIAADB8+3CjaBDoPHz5E8eLFMXbsWBw7dgzHjh1D1apV4eXlhfXr1+tNFnHr1i3UqFEDffv2hbm5ea6UAQObN+jevTs++OADPHv2TC/99u3beO+999CjRw91hoekpCSjmrYys4SEBNSsWRNr1qzRS4+JiYGfnx8qVaqkLsiXkJCApk2bwt7e3igWn9T57bff4OXlpdfAefHiBUaMGAEzMzO9efr//PNPKIqCwoULG0WvzI8//ojSpUurs3sBGce+cOFCVKhQQW96z99//90oGzI6ly5dQpkyZXD37l299KNHj8La2hoDBw5U00JDQ2FpaYm6detqvixGjhwJHx8f3LlzRy9dN/Vx/fr11UXokpOTjaYu/O2336AoijoNa+ZpnBcvXox8+fKpazPEx8frrVem9WP/O5MnT0a1atX0FmEFMhbqbd68OXr16oUXL14AyJgZsHv37kZXJr/88gucnZ0RGhqqpiUlJWHOnDnw8fHBsGHD1IDn8uXLUBRFnRUL0H459O/fHy1atEBqaqresUybNg1eXl5YtGiRWgesXbsWJUqUyLIEhNZt3boVnp6eerNbvnr1Cp6envD09NS79+/btw+KoiB//vxG0SbQOXjwYJaOn+TkZLRp0wbVqlXDjh071Pry5MmTUBQF1tbWuTatNQObN1i0aBFKlCiB1atX660QCwALFixAkSJF1Ju5jjFMW/kmnp6e6NGjh/q77jifPn2KChUq4P3331e37d69Gzdv3sz1POak/fv3Q1EUvRsZkDG94yeffIJChQohODgYABAREYGAgABcvXrVADnNfidPnoSrq6vagNOJiorC1KlTUa1aNRw5ckRNN4YFGP/OzZs3oSgK9uzZo6bpeuZ2794Nc3Nz9ekFAMyfP98oymLnzp3w8vLCxIkTszy92LZtGwoWLJgl6NHScLvX6W7GcXFxaNWqFdq0aaMGs7q1eXQL7X366adZ6n0tf9f/ly1btqBgwYLqNZ/52Ddv3gxra2u1UytzORhTmfz+++8oWbIkfvvtNwB/HVtqaiomTZoEDw8PHD9+HEDGNNdr1qwxinpAZ+zYsXB3d1c7djMPyfz4449RqlQpxMbGAgDCwsKybcHF/5KFCxeiRIkS6u+6skhISEDFihXRoEEDddu5c+fQsGFDo1qvBwC2b98OJycntdNT105OSEhA48aNUb16dTXwCw0NRbdu3XDt2rVcy1+eD2zOnz+P3bt344cfftBrvH700UewtbXFhg0b9FaEPXr0KGrUqKH3yNUY/N2Y3+XLl6Nq1arqiuLAXxX0ihUr4Onpqfm1Wd5EVx4RERGoXbs2hg0blmVl4JCQEPj7+2Pu3LlqY84Ybl46YWFhqFSpEvr165ell/bFixdwd3fXe99Gx5jKQCcpKQk9e/ZEw4YN9Xqd0tLSkJycjPfffx99+/bNsn6Tlsri5MmTWLVqFZYuXYrTp0+r6RMmTECpUqXw1Vdf6a25cOXKFXh4eODGjRuGyG62evbsGZ49e6bXEFuzZg1q1aqFwYMH4/79+3r7d+rUSa/Dx1i9fv526dIFTk5OuHXrFgD94MbNzQ0rVqzI1fzltvj4eFSoUAHt2rVT7xGZy6BixYr4+OOPs3xOS/XAP4mNjYWrqyvat2+vpuka9vHx8ShYsKDeen/G6NatW7C2tsa8efPUNF2Ad/v2bRQsWBArV65Ut0VGRuZ2FnNceHg4ChUqpDdMWTf8LCYmBvb29pgyZYq6LSYmJlfzl6dnRVuzZo20bt1avvzyS/nggw9k5MiRcu7cORERWbFihXTs2FFGjx4tX3/9tRw7dkxu3rwpX331ldjZ2YmDg4OBc5990tPTRVEUiYyMlJs3b8qtW7ckLi5OREQaN24s5cqVk/Xr18u2bdtERNRpHp2dneXVq1dGMbuHzuszHtnb20ujRo3kl19+kW3btklsbKy6b9myZcXc3FzOnj2rzoKi5fUIXr16pbcmU/HixWX27NmyatUqmTlzpjrbm0jGNJa+vr4SFhaW5d/RchnoPHnyRO7fv6/OeGNubi4dO3aUhIQEmT9/vly5ckVEMmYHNDMzk0KFCklERESW9Zu0UharV6+W9u3by8aNG2XSpEkyduxY2bt3r4iITJ48Wbp16yabN2+WkSNHyu7du+XkyZMycuRIsbW1FXd3dwPn/t1899130qVLF/H09JRu3brJ8uXLRUSkd+/e0r59ezl58qRMmDBBQkJCRCRjzYrnz5+Li4uLIbOdo/bt2ycDBw6Upk2byvz58yUyMlJERBYsWCCVKlWSBg0ayLlz59SZ0CIiIsTS0lJvOnNj8OLFCwkPD1dngLSyspKNGzfKkSNHpH///iKiPxtcQECAOmNqZlqpBzJ7+PCh7Ny5UxYuXCh3794VkYw1e5YsWSK//fabvP/++yIi6nT+L1++FCcnJ7G3tzdYnnODo6OjDBkyRNauXStbt24VkYxZANPS0sTZ2VnKly8vjx8/VvcvWLCggXKafXSz2+k4ODjItGnTZM2aNbJgwQIRybhHJicnS4ECBcTPz09d00xE1CVRck2uhlH/ITt27EChQoWwbds2xMTE4OzZs3Bzc8OcOXP09psyZQoaNGgARVHg6emp9w6Blodc6OiO4cqVK/Dx8YG7uztKly6NLl26qL2Xly9fRvPmzREQEKBOqhAdHY3PPvsMNWrUMJoeiRs3bmDIkCFo2LAhPv/8c70hWN26dUPFihUxb948vbG1Xbt2xejRozV/LmzatAkBAQEoUaIE/P39sX//fvU8X7t2LUxMTDBkyBC1dz42Nha1atXCuHHjDJntHLF+/XrUrl0b9vb28PX1xeTJk9Vtq1evRs2aNdGxY0d1yElkZCQaNWqEQYMGGSrL72T37t0oWrQotm7dirS0NFy/fh0NGjTAmDFj9PZbvXo1OnXqBBMTE3h7e6NevXqarws3bNgAa2trLF26FN9++y0GDhyIOnXq6A0nXbJkCRo2bIgCBQqgYcOG8PDwQOXKlY2mF/51q1evRpEiRdCvXz/07t0bJiYmmDRpkrr94cOHaNu2LWxtbTFgwABMmjQJTZo0gaenp1ENyd60aRP8/Pzg5uaGcuXK4fDhw+q2HTt2oECBAujatSvu3buHxMREJCUlwcfHR+/dQ626fPky3N3dUb16dbi6usLGxgZnzpwBkFH3b926FQ4ODqhfvz6OHj2Ks2fPYvz48XB2dsaDBw8MnPvsc/v2bUyYMAGffPIJJk+erNZz58+fR5cuXeDr64t169bpfaZJkyb46quvAGh39rvMbt26hSFDhqBLly748MMP1SczoaGhGDVqFNzc3DB79my9z7Ru3Vq9DgxRBnkysAkPD0eHDh3w5ZdfAvjrpjx27Fg0bNhQHV6i8/z5c5w7dw5XrlwxyiFHN27cQNGiRTFq1Cj88ccfWLp0Kfz9/bF48WL1pLx+/ToGDRoEJycnODg4oEaNGihatGiuvQyW065cuYIiRYqgd+/e6NmzJ+rVq4f27dvrVdJBQUHw8vJCnTp1MGHCBPTo0QM2NjbqOzZatX79etja2mL27Nn4/vvvUb9+fXh7e+tNY/zDDz+gSJEiqFmzJmrVqgU/Pz+jbNxt3LgR+fPnx6pVq7Br1y6MGzcOPj4+6k0dyHi3pG3btrCwsICXlxcqV66MqlWranIq15cvX6Jnz55qEKOr3+bPn4/KlSsjPj5er7Ganp6OkJAQPHz4UPN14cWLF1GlShW9YbaXLl2Cvb09du3apbdvSEgIVq1ahXHjxmHu3LlG9d5EZr/++itcXV313hdbv3497O3tswzHmzFjBtq0aYOAgAD06dNHPf+NIbhZv349bGxssHDhQuzduxfvv/8+nJyc1E689PR0/Prrr3B2dkaVKlXg6emJ2rVro1KlSpo/J+7cuaPOePX8+XNER0ejR48e8Pb2Vt+fSU5OxoULF+Dj4wMXFxd19jdjekH+8uXLsLe3R+fOndGgQQN4eHigbdu2av1+9uxZ9OnTB8WLF8eAAQPUjhEbGxujedf4ypUrKFq0KHr06IHu3bujSpUqqF69uloGd+7cwfjx45E/f3507NgR48ePR1BQEAoUKJCr79S8Ls8GNv369VN7XHVf0vz58/9Vr5NWeyffJDo6Gp06dUJQUJBeeqdOndCyZUu9tFevXuH27duYO3cutm7dmuWlYa16/PgxqlWrhtGjR6tphw8fhr29PX7//Xe9fbds2YKPPvoIdevWRZcuXTQ/A9yFCxdQtWpVvbHxCQkJKFKkCDZv3gzgr/P96tWr+PbbbzFixAjMmTPH6Bp3wcHB8Pb2xrfffqum3b9/Hy4uLli+fLnevo8ePcKBAwcwY8YMrF69WrNlERUVhXHjxuHnn3/WS9+xYwdKly6dZfKU12m5Ljxy5Ai6dOmS5cXeZs2aYcmSJQCgN23p64yhAZ9ZUlISPv/8c/Ts2VPt1EhPT8eVK1dQsmRJdZ2SzIF7UlKS3jmgtfP/TS5dugQvLy+99yTS0tJQtmzZLDOERkVFYfHixZg0aRLmzZun2XpAJykpCcOHD0fXrl3Vd2cAYNeuXShfvrwa2GR24cIFBAcHG9VEAbr3S3UdPomJidi+fTu8vLz0nubeu3cPa9asQYUKFVCrVi0EBAToLYOhZY8ePYKXl5faLkpPT8eff/6J8uXL49ChQ+p+0dHROHr0KBo2bIhGjRqhbdu2uHTpkqGyDQDQ3sDPbODg4CATJ06U4sWLi0jG+EFTU1MpXbq0FCpUSG/M7KlTp6R27dp6n9e9T2EMEhISxMHBQfz9/UUk4x0TU1NT6dSpk6xYsULS09MlPT1d8uXLJ7a2tmJrayvDhg0zbKaz2YULF6REiRLSs2dPASCKokjjxo2lQoUKcvv2bfHz85OUlBQxMzOTLl26SJcuXSQ5OVlMTEw0OXY6s7t374qbm5s0b95cRDJWzjYzM5PSpUtLUlKSiGS8bwRAKleuLJUrV9b7fFpamubLQCc2NlYqVaoktWrVEpGM94xKlCgh9erVk2fPnomISHJyspibm4uzs7M4OztLs2bN1M9rsSzs7OxkyJAhUqxYMRHJqAtNTEykRIkSUrBgQb2VxA8cOKCeJzpargtLly4tgwYNkgoVKoiIqNd+SkqKREdHi0jGuPG/k/k+YQzMzc2lRYsWcuvWLbG2thaRjGvf1dVVREQiIyPF2dlZrQ8URdErHwCaO//fJCwsTKysrKRx48YiknFcJiYmUrhwYfVdI5GM693Ozk4GDBig93kt1gM65ubm4ubmJtbW1uq7MyIi1atXl6ioKHny5ImUKlVK8uXLp9YVXl5ehstwDjly5Ij6Lg0AsbCwkAYNGsjAgQPl3r176n2wZMmS0rt3b+nRo4cAkOTkZPXa0brTp0+LtbW1fPLJJyKSURdUqlRJ0tLS5NGjR+p+NjY2Ur9+fTl8+LCYmJhIUlKSWFhYGCrbIiKizasvG+iCGl2lJSKSmJgoUVFRanpgYKDY2NiIr6+v3g3emBQpUkS6d+8uvr6+IvJXQ8XExERiYmJE5K8beFxcnOTPn98wGc1BDg4O0qpVK7Wywv+fDCExMVEiIiJERLK8FP5PDR4tadGihZibm6uNF0VRxNTUVBwcHCQ1NVVNE/mrUZ+ZMTXuSpUqJYMHDxYPDw+9dABG3dDVBTUif13/8fHxEh0drTbQWrVqJXFxcdKsWTOjqQtLlSolpUqVEhHRmwBF10DR/X+7du2kU6dO0qNHD0NkM1fVrVtX6tatmyU9KSlJYmJi1O9+yZIl0rx5cylTpoy6j7GcF61atRILCwspWbKkiIikpKSIubm5ODk56d0HTE1N33hP1Go9oDN48OAsabrOTXNzc7VOuHbtmpQtW1YvADIWFSpUkC5duoizs7OIZHT4FSpUSAoXLqx2+GWWnp4uZmZmmg1o36RmzZrSu3dvtY5MSUkRS0tLKVas2BsnyND5L7SNtNvdlk0URVEr5NjYWElMTJTExERp06aN3LhxQzZs2GA0FfabmJqaqkGNrhdOJONJTlxcnJiYmIiiKDJ+/Hhp06aNpKWlGdUsaCIZvVH9+vUTkb/KQFEUKViwoN5NavHixXLgwAFDZTPbpaeni5WVlQQGBqppuuONjo5WZzUBIAMGDJAffvjBIPnMLcWKFRMfHx8R0W/o6uoEnZYtW8rs2bNzPX+5KSYmRpKSkiQ+Pl7atm0rISEhcvjwYbW33pjoZoXUKVSokNrr2rx5c7l27Zo6A1Rek56eLmlpaWJlZaUGwI0bN5Z58+aJm5ubgXOX/XSzP2V+WqNrqCUnJ6sdXQDkww8/lJ9++skwGc0Fuus8LS1NUlJSxMTERL0uRo8eLS1atJCEhARDZjHHVKtWTYKCgkTkr6DOxMREbG1t9e4Fq1evVoMaY+Pq6iofffSRiIjeMVpaWqodfSIiy5cvl9DQULVT7L/QXs6TgY3ugj137pzcunVLTS9SpIgUKVJE2rZtKzdu3JAbN26ImZmZ2nNtrHSVuaIo6nTHdnZ2YmVlJSIi48aNkzlz5siMGTPE1NT0P3HiZpfMjbTXGzgFChRQH6l+/vnn8umnn0qJEiVyPY855U3DiHTfv4WFhTpNZcuWLWXfvn3SsWPH3MyewejOA925UahQIbVXtlmzZnLnzh0ZOnSoIbOYbXTHePz4cTl//ryabm9vL4ULF1Yb9sHBwWpdqLXr//Lly2+sw3XHnvkmrRMbGyvvvfeehIaGyrVr1/LEfQAZ79yKiKg9srp7grm5uSQkJEibNm3k8ePHcu3aNTExMckyDazWvV4nKoqiHiMAtXEXGBgoBw4ckHbt2uV2FnNc5vaASEZnl4WFhaSkpEhaWpqMHz9elixZIjt27JBChQoZMqs5JnOgYmJiojeKQ/f/EydOlH79+snt27cNksfclPlaT0lJUTtAJ06cKJ988skbn2IZUp4KbHQVt6IosnPnTmndurXeWMHU1FQ5efKkREZG6t3MjOnx4uvS0tLExMREHYKnO2F179SMHj1aZs+eLSdOnJAaNWoYMKfZ4/XeZkVRsjRYdBdwZGSkpKWlyddffy1z586VEydOSKVKlXItr9nt9UZI5oaM7h0S3Y29YMGCYmZmJh07dpTQ0FC5c+eO5MuXTw18tO718yA9PV1N0/XK6srCzMxMEhISpEOHDnL37l25evWq5hq6rx9v5rrwhx9+kLZt2+qtSZSSkiKXL1+WlJQUTdeFX375pXh5ecmxY8fUc/f1+4C/v788f/5cDWbj4uJk8uTJEhISohfQae3Y/8nrQ+90FEWR/fv3y+rVqyU5OVkURRELCwtJTEyUhg0byvXr1+XSpUtqmWj5Hau/oyuP58+f69WZtra2kj9/funSpYvcvn1b7t+/r+k68U11oK498PTpU3WtLpGMurBgwYIyZMgQmTVrlhw7dkx9F9EYvV63p6SkSEpKiiQmJoqdnZ3MmzdPZs2aJefOnZNy5coZKJc56/Uy0J3nqampUrhwYZk/f75aBrr3FP8zsncugv+Of5qtZ8uWLTAzM8OyZcv00s+fP4/u3btrfmaTf0t3fPfu3YOLiwt27Nihbtu4cSMURUGBAgWMagpH3Yw+x48fx2+//aaWwf3799GnTx+8fPlS3bd169YoVKgQ8ufPj7Nnzxokvznhiy++wLFjx9RZnXbs2IFOnTrh0aNH6j4tWrSAoiioVKmSOo2rMV4PuhWRM5dFyZIl9aa27dKlCxRFgZeXlybLInNd+PosX3v27IGVlVWWuvDOnTsYNWqUUdSFzZo1Q/HixXH48GG9mcx27tyJ/PnzY+nSpXr7f/7552jatKlRHPv/RVcf6o7x+++/h6mpKdavX6/u8/jxYyiKAm9vb6Muk/T0dLU8tm/fjrZt2+Lx48fq9vbt20NRFHh4eGiyHsgs83Vw6dIlvbXo7t27BxsbG3zzzTcAMsrl2rVrUBQFtra2RjPrl87r0/Prvtu7d++qZaBTv359lC5dGlZWVkbVJsgsPT1dPT/u3r2L8ePH691DAgMDUbBgQVhbW/9ny8AoA5vMJ+qCBQswaNAgBAUFqdMRrlmzBgsWLPjHf0OrFdab/FOQFxoaCmdnZ/Tv31+v3P744w80aNBA82u06GQ+tiNHjkBRFHWtinv37sHZ2RmDBw/W2693795wcHDQ/JTOmb//H374ASYmJjh58iQAYOvWrcifP79ewzY9PR1du3ZFzZo1jbohM2PGDAwePFj9XdfQfb2RP2fOHLRu3VqTZZH5fJ41axY++OADtGnTBhcuXAAA7N27F6tXr/7Hf0NLx5tZ5rXIGjduDGdnZxw+fBjJycmIiIiAt7d3lmm8gYygTutr9PydzHXB5s2b0apVK/UYL1y4ADMzsyyBHgCcOHFCk+f/3/m/Oj4LFCiARYsW6aV//PHHKFOmjObLITQ0FPXr1weQcT9wdnbGuXPnAGQshVGoUKEs7QEAGD16tMGn8c0pp06dwpYtW9Tz4t69e3ByckK3bt309qtZsybMzMw03ybITPc9P3/+XC89NDQUTk5O6NGjh156q1atoCiK3rTX/zVGF9hkrrAmTJiAggULokuXLihdujRKlCiB3377zYC5y12Z56EHgD///BNbt27Fjz/+iHv37gHIqKwGDhyYpRJLSUnRe3phLB49eoQVK1Zg+vTpADJWjS9VqtQbK/IjR47g7t27hshmjti8eTOWLFmirlnz8uVLlC9fHvPnz1f30ZVBQkKC2muj1Rv4/2Xt2rUoWrQorly5gujoaPj7++ut56Pz5MkTTTZ0M9eF06dPh52dHYYMGQIvLy/Y29tj48aNml6H5p+86bgaNWoEZ2dndc2esLAwve2vX//GVjaZj+fIkSP46KOPYGpqiqCgIKSkpCApKSnL/fFN9wWty1wOx48fx8mTJ3H69GkAGfeDhg0bvrFOzPxZLZfD1atXUaZMGZQrVw6KouC7775Ttx09ehTffPONXhnpjl9LCw//W7qnEw0bNkSLFi0AZJwDlSpVQlBQUJZj3717t9Gs3wf8dVz79u2Dv78/fvrpJwAZaxbWqlUL/fr1y1IGFy5cQGhoqEHy+28ZXWCj8/TpU/Tq1Qt//PEHgIyKqGXLlnB0dFQX5jRmU6dOxZAhQ/Ds2TMAGT0z5ubm8PDwgLm5OerWravXU5u50jLGCgzIGG6me5w+Y8YMNf2nn34y+uMPCQmBq6srFEXRe7weERGRZd/MNzVjady9/p2mp6fj9u3bqFu3rroQ3+sN3f/r39CKe/fuISgoSK/e6927NxwdHbF+/fo3LrpnLPbt26c+nQQyghsHBwf8/PPPmm6cvosRI0agevXq+Pjjj1GrVi04OjrqDcE2toVHM8t8DQ8fPhxFixaFk5MTChUqhA8//BAPHjx440KTmcvEGOrEhQsXQlEUlCpVSi/dGI7tbejOhzNnzqBw4cLYsWMHXr16hU2bNr2xvtfqPeCf7Nq1C1ZWVvj666/VuvLFixc4cOCAZo/XKAOblStXwtbWFjVq1MCNGzf0trVs2RLOzs44ceKEgXKXO5YvXw5FUfD555/j+vXr8PHxwbJlyxAfH4+rV69i4MCB8PLywsKFCw2d1Vy1bNkymJubo0+fPoiOjjZ0dnLM6xVSQkICdu3aBQ8PD1SvXl1NN+ZGzJu83ogfPHgwSpQokeXpprHYsGEDFEVBhQoVsoyH7tOnD5ydnbFhwwb1XSNjcuPGDTg4OKBXr156x575yU1eO/8PHTqEokWLqg2YtLQ0zJkzB56enkYf3GSuE8+ePYuyZcvi1KlTuHTpEg4dOoTChQujdevWah2h1Ubd39EdT3JyMn777Td888038Pb2hqenJ169egUg65MoYysD4M1PZqOiovDBBx/go48+UtPygqdPn6JatWr4+uuvDZ2VbGWUgc3Tp0/RqFEj5MuXT320nvlEbd26NRRFMbqX4F6na9QMHz4cHTp00OuJunv3Lj7++GM0aNDgjb32xmzp0qVQFAUzZswwyor79WEEiYmJADJuaPv370fJkiXRqFEjdR9jbMS8yfLly9GpUyf8/PPP6vsXkZGRqFGjBpYsWQJA+zfyN92Q27ZtC0VRsH79er33TgCgb9++UBRFHYKgZW/67rZt24YqVargww8/1AtuGjduDFdXV+zbty/PNGKAjElhnJ2d9cbTR0dHY8KECbC2tka/fv3Uc8RYy2XVqlXo2rUr+vfvr5d+69YtFChQAJ999pmBcpZzdNfG4cOHMX78ePUdu8uXL8PDwwMeHh56nT6HDx/Wm1DA2Jw5cwY7d+7US1u/fj2srKzU94i0fi/4N0JCQuDi4qJ29GeeQCMzrZWF5gObv6t8IyIiUKtWLVSsWBEhISEA9L+cUaNGGW2DLvNxrlu3DoqiwNTUVH1BUOfcuXNQFAW//vprLucw5+nK4MqVKzhy5Ah++OEHve26R/EzZ87U3EX7b82YMQPt2rWDr68vlixZor5XtX//fpQrVw5NmzZV9zXWRkxms2bNQrdu3WBubo6uXbtiwYIFSEtLw/vvv48PPvjA0NnLVq8PwWrWrBkcHR2zzAwGZAxbNaa6UNf7rPP999+jYsWK+PDDD/VmePTy8kKbNm1yO3u55k312vHjx1GhQgUcOnRIL/3BgwdwcXGBu7s7+vbta1TnQ2bh4eH44IMPUKhQIbRr105N13X+zJo1C15eXnjx4oXR3Rd27NgBKysrfPXVV3qduleuXFGDm3PnzmHMmDEoVaoUHj58aMDc5oz09HS8ePECPXr0gKIo6NGjBzZs2KBuf++999C5c2ejHp6b2f3791GqVCmsW7dOTdO1BQ4ePIh9+/YZKmvvRNOBTebG2OXLl3H+/Hm9i/HZs2eoXr06Kleu/MbgBsgbvdVbt26Foij45JNP8OTJEzX92bNnqFixIg4cOGDA3GU/3Xe8c+dOFC9eHFWrVkXBggXRtGlTXL58WT1vFi5cCAsLC0yePNmQ2c02ma+HiRMnonDhwhg6dCj69u2LwoULo2vXrmrD7scff0SlSpXg7e1tqOzmqH8K1I4fP47hw4fDxcUFrVq1Qr9+/aAoCvbu3ZuLOcw5/+sQLK3WhSdPnsTNmzcBAHPnzsWgQYOyvNy6bds22Nvbo0ePHnrBTV4I6L/++mscO3YMQEbDvlq1aggMDNSb1ejOnTvo1KkTpkyZAm9vb6OZZOdN3++5c+fQu3dvmJmZYePGjXrblixZgqpVqxrd0Mxr166hVKlSb5wFEABu3rwJHx8fuLq6onTp0lk6QY1NbGwsTp8+jRYtWsDT0xPe3t44fPgwvvjiC7Ro0QK3b982dBaz3ZsmwYiNjUVAQAAaNGiQZZazYcOGoUWLFpoM8jQb2GSusL744guULl0apUuXRoECBbBmzRp1Rq/nz5+jRo0a8PDwwPXr1w2V3RyX+RHi7du3cfr0afz+++9qT9Tq1auhKAqCgoJw4sQJhIaGYuzYsShYsCAePHhgyKzniMOHD6NQoULqi+F//vknFEVBw4YN8eeff6plNXPmTBQuXBgvXrwwZHaz1f379/HZZ5/hl19+UdMOHjyI6tWro3fv3oiLi0NCQgK2b9+ODz74wOgad5mPZ8+ePVi3bp16Q888zvzFixcYOnQoOnToAEVR8PHHH2f5vBbk5SFYoaGh8PHxQevWrfHkyROsXr0aRYoUwdixY9UnlDqTJk1CwYIF8d577+lNY6/VgO7fiI6ORps2bWBiYqIGK8HBwXB2dkazZs3wzTff4Oeff0bjxo3xwQcf4OXLl7CxscGcOXMMnPN3l/n8fvDgAa5evaqmhYaGomfPnmpvdVxcHMLDw9G4cWM0b97cKJ7WZG4T6J7SZw7433SMp06dQnh4eG5lMVfojvPGjRs4ePAgzp49q3aAv3z5EleuXEH79u1Ru3Zt+Pj4qO8mG5PMQxGHDRuGJk2aYNmyZQgPD8eDBw/g5OSEpk2bYtGiRdi7dy8GDBgAOzs7XLlyxcA5/99oNrDR+fLLL+Ho6IhDhw4hPT0d3bt3h62tLWbOnKmOEX3+/DlKlCiB7t27GzazOUh34u7YsQMVKlRA2bJl4evrCw8PD/XdGt07N4qi4L333oO/v7861lbrQkNDsXv3bgAZixAOGzYMEydOBJDxPlHp0qXRu3dvlC5dGr6+vjh37px6kzOmaa13794NRVFQrFgxHDlyRG/b/v37YW5urg49zPyiqDE0cgH94/jss8/g7OwMPz8/2Nvbo1mzZjh//nyWY42Pj8eCBQtgaWmp6c6PvDoEa8WKFWjQoAG6dOmCmJgYbN26FY6OjhgzZoxeQ27u3LmoX78+evXqZTTn++t0x5W50frgwQP07NkT5ubm6pOb69evo1OnTqhQoQLKlCmD+vXrIz4+HgBQu3ZtbNmyJfczn40yH/8XX3wBDw8PODk5oVq1apg9ezbi4uJw7do19OzZE4qioESJEujduzfq1aunTiSi1XMkPj4eiYmJuH//vvqdfv/993BwcEBUVBQA/br/5MmTOHPmjEHymtN058H3338PFxcXlCpVCiVLlkT58uWzTCB14MABfP3113BwcDDK9Xp++OEH2NjYoH///vjiiy/g4uKCpk2bIikpCSEhIWjbti3Kly+PMmXKoG7dupp+B11zgU3mYQdXrlxB48aNsWfPHgAZ09YVKlRIfVl25syZ6kuSUVFRRtUzp6t04+Li1LRjx46hQIECWL58OZKSkrB3714oioI5c+boDc9SFAVffvmlWslp3aNHj1C0aFFUrFhRnZP/0KFDCA4ORmRkJGrWrIl+/foBAH755RcoioLq1atr+sLV0Z0Huv8+evQIAwcOhKIoWLt2LQD9m1jlypUxc+bM3M9oLvvmm2/0Fp7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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "monthly = total_items.resample(\"1M\").mean()\n",
+    "ax = monthly.plot(kind='bar',figsize=(10,3))\n",
+    "ax.set_xticklabels([x.strftime(\"%b-%Y\") for x in monthly.index], rotation=45)\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## DataFrame\r\n",
-    "\r\n",
+    "## DataFrame\n",
+    "\n",
     "A dataframe is essentially a collection of series with the same index. We can combine several series together into a dataframe. Given `a` and `b` series defined above:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 42,
-   "source": [
-    "df = pd.DataFrame([a,b])\r\n",
-    "df"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   0     1   2    3       4    5       6     7     8\n",
-       "0  1     2   3    4       5    6       7     8     9\n",
-       "1  I  like  to  use  Python  and  Pandas  very  much"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -351,44 +342,37 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   0     1   2    3       4    5       6     7     8\n",
+       "0  1     2   3    4       5    6       7     8     9\n",
+       "1  I  like  to  use  Python  and  Pandas  very  much"
       ]
      },
+     "execution_count": 42,
      "metadata": {},
-     "execution_count": 42
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df = pd.DataFrame([a,b])\n",
+    "df"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "We can also use Series as columns, and specify column names using dictionary:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 43,
-   "source": [
-    "df = pd.DataFrame({ 'A' : a, 'B' : b })\r\n",
-    "df"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B\n",
-       "0  1       I\n",
-       "1  2    like\n",
-       "2  3      to\n",
-       "3  4     use\n",
-       "4  5  Python\n",
-       "5  6     and\n",
-       "6  7  Pandas\n",
-       "7  8    very\n",
-       "8  9    much"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -461,43 +445,44 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B\n",
+       "0  1       I\n",
+       "1  2    like\n",
+       "2  3      to\n",
+       "3  4     use\n",
+       "4  5  Python\n",
+       "5  6     and\n",
+       "6  7  Pandas\n",
+       "7  8    very\n",
+       "8  9    much"
       ]
      },
+     "execution_count": 43,
      "metadata": {},
-     "execution_count": 43
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df = pd.DataFrame({ 'A' : a, 'B' : b })\n",
+    "df"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "The same result can be achieved by transposing (and then renaming columns, to match the previous example):"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 44,
-   "source": [
-    "pd.DataFrame([a,b]).T.rename(columns={ 0 : 'A', 1 : 'B' })"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B\n",
-       "0  1       I\n",
-       "1  2    like\n",
-       "2  3      to\n",
-       "3  4     use\n",
-       "4  5  Python\n",
-       "5  6     and\n",
-       "6  7  Pandas\n",
-       "7  8    very\n",
-       "8  9    much"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -570,32 +555,44 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B\n",
+       "0  1       I\n",
+       "1  2    like\n",
+       "2  3      to\n",
+       "3  4     use\n",
+       "4  5  Python\n",
+       "5  6     and\n",
+       "6  7  Pandas\n",
+       "7  8    very\n",
+       "8  9    much"
       ]
      },
+     "execution_count": 44,
      "metadata": {},
-     "execution_count": 44
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "pd.DataFrame([a,b]).T.rename(columns={ 0 : 'A', 1 : 'B' })"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "**Selecting columns** from DataFrame can be done like this:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 45,
-   "source": [
-    "print(f\"Column A (series):\\n{df['A']}\")\r\n",
-    "print(f\"Columns B and A (DataFrame):\\n{df[['B','A']]}\")"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Column A (series):\n",
       "0    1\n",
@@ -622,32 +619,25 @@
      ]
     }
    ],
-   "metadata": {}
+   "source": [
+    "print(f\"Column A (series):\\n{df['A']}\")\n",
+    "print(f\"Columns B and A (DataFrame):\\n{df[['B','A']]}\")"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "**Selecting rows** based on filter expression:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 46,
-   "source": [
-    "df[df['A']<5]"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A     B\n",
-       "0  1     I\n",
-       "1  2  like\n",
-       "2  3    to\n",
-       "3  4   use"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -695,35 +685,38 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A     B\n",
+       "0  1     I\n",
+       "1  2  like\n",
+       "2  3    to\n",
+       "3  4   use"
       ]
      },
+     "execution_count": 46,
      "metadata": {},
-     "execution_count": 46
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df[df['A']<5]"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "The way it works is that expression `df['A']<5` returns a boolean series, which indicates whether expression is `True` or `False` for each elemens of the series. When series is used as an index, it returns subset of rows in the DataFrame. Thus it is not possible to use arbitrary Python boolean expression, for example, writing `df[df['A']>5 and df['A']<7]` would be wrong. Instead, you should use special `&` operation on boolean series:"
-   ],
-   "metadata": {}
+    "The way it works is that expression `df['A']<5` returns a boolean series, which indicates whether expression is `True` or `False` for each elements of the series. When series is used as an index, it returns subset of rows in the DataFrame. Thus it is not possible to use arbitrary Python boolean expression, for example, writing `df[df['A']>5 and df['A']<7]` would be wrong. Instead, you should use special `&` operation on boolean series:"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 47,
-   "source": [
-    "df[(df['A']>5) & (df['A']<7)]"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A    B\n",
-       "5  6  and"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -756,44 +749,35 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A    B\n",
+       "5  6  and"
       ]
      },
+     "execution_count": 47,
      "metadata": {},
-     "execution_count": 47
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df[(df['A']>5) & (df['A']<7)]"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "**Creating new computable columns**. We can easily create new computable columns for our DataFrame by using intuitive expressions. The code below calculates divergence of A from its mean value."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 48,
-   "source": [
-    "df['DivA'] = df['A']-df['A'].mean()\r\n",
-    "df"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B  DivA\n",
-       "0  1       I  -4.0\n",
-       "1  2    like  -3.0\n",
-       "2  3      to  -2.0\n",
-       "3  4     use  -1.0\n",
-       "4  5  Python   0.0\n",
-       "5  6     and   1.0\n",
-       "6  7  Pandas   2.0\n",
-       "7  8    very   3.0\n",
-       "8  9    much   4.0"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -876,56 +860,54 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B  DivA\n",
+       "0  1       I  -4.0\n",
+       "1  2    like  -3.0\n",
+       "2  3      to  -2.0\n",
+       "3  4     use  -1.0\n",
+       "4  5  Python   0.0\n",
+       "5  6     and   1.0\n",
+       "6  7  Pandas   2.0\n",
+       "7  8    very   3.0\n",
+       "8  9    much   4.0"
       ]
      },
+     "execution_count": 48,
      "metadata": {},
-     "execution_count": 48
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['DivA'] = df['A']-df['A'].mean()\n",
+    "df"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "What actually happens is we are computing a series, and then assigning this series to the left-hand-side, creating another column."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 49,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "# WRONG: df['ADescr'] = \"Low\" if df['A'] < 5 else \"Hi\"\r\n",
+    "# WRONG: df['ADescr'] = \"Low\" if df['A'] < 5 else \"Hi\"\n",
     "df['LenB'] = len(df['B']) # Wrong result"
-   ],
-   "outputs": [],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 50,
-   "source": [
-    "df['LenB'] = df['B'].apply(lambda x: len(x))\r\n",
-    "# or\r\n",
-    "df['LenB'] = df['B'].apply(len)\r\n",
-    "df"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B  DivA  LenB\n",
-       "0  1       I  -4.0     1\n",
-       "1  2    like  -3.0     4\n",
-       "2  3      to  -2.0     2\n",
-       "3  4     use  -1.0     3\n",
-       "4  5  Python   0.0     6\n",
-       "5  6     and   1.0     3\n",
-       "6  7  Pandas   2.0     6\n",
-       "7  8    very   3.0     4\n",
-       "8  9    much   4.0     4"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1018,39 +1000,46 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B  DivA  LenB\n",
+       "0  1       I  -4.0     1\n",
+       "1  2    like  -3.0     4\n",
+       "2  3      to  -2.0     2\n",
+       "3  4     use  -1.0     3\n",
+       "4  5  Python   0.0     6\n",
+       "5  6     and   1.0     3\n",
+       "6  7  Pandas   2.0     6\n",
+       "7  8    very   3.0     4\n",
+       "8  9    much   4.0     4"
       ]
      },
+     "execution_count": 50,
      "metadata": {},
-     "execution_count": 50
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['LenB'] = df['B'].apply(lambda x: len(x))\n",
+    "# or\n",
+    "df['LenB'] = df['B'].apply(len)\n",
+    "df"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "**Selecting rows based on numbers** can be done using `iloc` construct. For example, to select first 5 rows from the DataFrame:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 52,
-   "source": [
-    "df.iloc[:5]"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B  DivA  LenB\n",
-       "0  1       I  -4.0     1\n",
-       "1  2    like  -3.0     4\n",
-       "2  3      to  -2.0     2\n",
-       "3  4     use  -1.0     3\n",
-       "4  5  Python   0.0     6"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1115,40 +1104,39 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B  DivA  LenB\n",
+       "0  1       I  -4.0     1\n",
+       "1  2    like  -3.0     4\n",
+       "2  3      to  -2.0     2\n",
+       "3  4     use  -1.0     3\n",
+       "4  5  Python   0.0     6"
       ]
      },
+     "execution_count": 52,
      "metadata": {},
-     "execution_count": 52
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df.iloc[:5]"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "**Grouping** is often used to get a result similar to *pivot tables* in Excel. Suppose that we want to compute mean value of column `A` for each given number of `LenB`. Then we can group our DataFrame by `LenB`, and call `mean`:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 53,
-   "source": [
-    "df.groupby(by='LenB').mean()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "             A      DivA\n",
-       "LenB                    \n",
-       "1     1.000000 -4.000000\n",
-       "2     3.000000 -2.000000\n",
-       "3     5.000000  0.000000\n",
-       "4     6.333333  1.333333\n",
-       "6     6.000000  1.000000"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1206,42 +1194,40 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "             A      DivA\n",
+       "LenB                    \n",
+       "1     1.000000 -4.000000\n",
+       "2     3.000000 -2.000000\n",
+       "3     5.000000  0.000000\n",
+       "4     6.333333  1.333333\n",
+       "6     6.000000  1.000000"
       ]
      },
+     "execution_count": 53,
      "metadata": {},
-     "execution_count": 53
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df.groupby(by='LenB').mean()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "If we need to compute mean and the number of elements in the group, then we can use more complex `aggregate` function:"
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 58,
-   "source": [
-    "df.groupby(by='LenB') \\\r\n",
-    " .aggregate({ 'DivA' : len, 'A' : lambda x: x.mean() }) \\\r\n",
-    " .rename(columns={ 'DivA' : 'Count', 'A' : 'Mean'})"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "      Count      Mean\n",
-       "LenB                 \n",
-       "1         1  1.000000\n",
-       "2         1  3.000000\n",
-       "3         2  5.000000\n",
-       "4         3  6.333333\n",
-       "6         2  6.000000"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1299,41 +1285,44 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "      Count      Mean\n",
+       "LenB                 \n",
+       "1         1  1.000000\n",
+       "2         1  3.000000\n",
+       "3         2  5.000000\n",
+       "4         3  6.333333\n",
+       "6         2  6.000000"
       ]
      },
+     "execution_count": 58,
      "metadata": {},
-     "execution_count": 58
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df.groupby(by='LenB') \\\n",
+    " .aggregate({ 'DivA' : len, 'A' : lambda x: x.mean() }) \\\n",
+    " .rename(columns={ 'DivA' : 'Count', 'A' : 'Mean'})"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "## Printing and Plotting\r\n",
-    "\r\n",
+    "## Printing and Plotting\n",
+    "\n",
     "Data Scientist often has to explore the data, thus it is important to be able to visualize it. When DataFrame is big, many times we want just to make sure we are doing everything correctly by printing out the first few rows. This can be done by calling `df.head()`. If you are running it from Jupyter Notebook, it will print out the DataFrame in a nice tabular form."
-   ],
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 59,
-   "source": [
-    "df.head()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "execute_result",
      "data": {
-      "text/plain": [
-       "   A       B  DivA  LenB\n",
-       "0  1       I  -4.0     1\n",
-       "1  2    like  -3.0     4\n",
-       "2  3      to  -2.0     2\n",
-       "3  4     use  -1.0     3\n",
-       "4  5  Python   0.0     6"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1398,101 +1387,112 @@
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "   A       B  DivA  LenB\n",
+       "0  1       I  -4.0     1\n",
+       "1  2    like  -3.0     4\n",
+       "2  3      to  -2.0     2\n",
+       "3  4     use  -1.0     3\n",
+       "4  5  Python   0.0     6"
       ]
      },
+     "execution_count": 59,
      "metadata": {},
-     "execution_count": 59
+     "output_type": "execute_result"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df.head()"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
-    "\r\n",
-    "We have also seen the usage of `plot` function to visualize some columns. While `plot` is very useful for many tasks, and supports many different graph types via `kind=` parameter, you can always use raw `matplotlib` library to plot something more complex. We will cover data visualization in detail in separate course lessons.\r\n"
-   ],
-   "metadata": {}
+    "\n",
+    "We have also seen the usage of `plot` function to visualize some columns. While `plot` is very useful for many tasks, and supports many different graph types via `kind=` parameter, you can always use raw `matplotlib` library to plot something more complex. We will cover data visualization in detail in separate course lessons.\n"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 61,
-   "source": [
-    "df['A'].plot()\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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"
+      ]
      },
-     "metadata": {}
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "metadata": {}
+   "source": [
+    "df['A'].plot()\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": 63,
-   "source": [
-    "df['A'].plot(kind='bar')\r\n",
-    "plt.show()"
-   ],
+   "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
+      "image/png": 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    ],
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+    "df['A'].plot(kind='bar')\n",
+    "plt.show()"
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    "source": [
-    "\r\n",
+    "\n",
     "This overview covers most important concepts of Pandas, however, the library is very rich, and there is no limit to what you can do with it! Let's now apply this knowledge for solving specific problem."
-   ],
-   "metadata": {}
+   ]
   },
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  "nbformat_minor": 2
diff --git a/2-Working-With-Data/08-data-preparation/notebook.ipynb b/2-Working-With-Data/08-data-preparation/notebook.ipynb
index 80d0bb7..3189861 100644
--- a/2-Working-With-Data/08-data-preparation/notebook.ipynb
+++ b/2-Working-With-Data/08-data-preparation/notebook.ipynb
@@ -1,30 +1,4 @@
 {
-  "nbformat": 4,
-  "nbformat_minor": 0,
-  "metadata": {
-    "anaconda-cloud": {},
-    "kernelspec": {
-      "name": "python3",
-      "display_name": "Python 3",
-      "language": "python"
-    },
-    "language_info": {
-      "mimetype": "text/x-python",
-      "nbconvert_exporter": "python",
-      "name": "python",
-      "file_extension": ".py",
-      "version": "3.5.4",
-      "pygments_lexer": "ipython3",
-      "codemirror_mode": {
-        "version": 3,
-        "name": "ipython"
-      }
-    },
-    "colab": {
-      "name": "notebook.ipynb",
-      "provenance": []
-    }
-  },
   "cells": [
     {
       "cell_type": "markdown",
@@ -40,7 +14,6 @@
         "\n",
         "> **Learning goal:** By the end of this subsection, you should be comfortable finding general information about the data stored in pandas DataFrames.\n",
         "\n",
-
         "Once you have loaded your data into pandas, it will more likely than not be in a `DataFrame`. However, if the data set in your `DataFrame` has 60,000 rows and 400 columns, how do you even begin to get a sense of what you're working with? Fortunately, pandas provides some convenient tools to quickly look at overall information about a `DataFrame` in addition to the first few and last few rows.\n",
         "\n",
         "In order to explore this functionality, we will import the Python scikit-learn library and use an iconic dataset that every data scientist has seen hundreds of times: British biologist Ronald Fisher's *Iris* data set used in his 1936 paper \"The use of multiple measurements in taxonomic problems\":"
@@ -48,21 +21,20 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 1,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "hB1RofhdgRrp"
+        "id": "hB1RofhdgRrp",
+        "trusted": false
       },
-
+      "outputs": [],
       "source": [
         "import pandas as pd\n",
         "from sklearn.datasets import load_iris\n",
         "\n",
         "iris = load_iris()\n",
         "iris_df = pd.DataFrame(data=iris['data'], columns=iris['feature_names'])"
-      ],
-      "execution_count": 1,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -76,28 +48,28 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 2,
       "metadata": {
-        "id": "LOe5jQohhulf",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "LOe5jQohhulf",
         "outputId": "fb0577ac-3b4a-4623-cb41-20e1b264b3e9"
       },
-      "source": [
-        "iris_df.shape"
-      ],
-      "execution_count": 2,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "(150, 4)"
             ]
           },
+          "execution_count": 2,
           "metadata": {},
-          "execution_count": 2
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "iris_df.shape"
       ]
     },
     {
@@ -123,20 +95,16 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 3,
       "metadata": {
-        "id": "YPGh_ziji-CY",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "YPGh_ziji-CY",
         "outputId": "74e7a43a-77cc-4c80-da56-7f50767c37a0"
       },
-      "source": [
-        "iris_df.columns"
-      ],
-      "execution_count": 3,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "Index(['sepal length (cm)', 'sepal width (cm)', 'petal length (cm)',\n",
@@ -144,9 +112,13 @@
               "      dtype='object')"
             ]
           },
+          "execution_count": 3,
           "metadata": {},
-          "execution_count": 3
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "iris_df.columns"
       ]
     },
     {
@@ -170,24 +142,19 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 4,
       "metadata": {
-        "trusted": false,
-        "id": "dHHRyG0_gRrt",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "d8fb0c40-4f18-4e19-da48-c8db77d1d3a5"
+        "id": "dHHRyG0_gRrt",
+        "outputId": "d8fb0c40-4f18-4e19-da48-c8db77d1d3a5",
+        "trusted": false
       },
-      "source": [
-        "iris_df.info()"
-      ],
-      "execution_count": 4,
-
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "<class 'pandas.core.frame.DataFrame'>\n",
             "RangeIndex: 150 entries, 0 to 149\n",
@@ -202,7 +169,9 @@
             "memory usage: 4.8 KB\n"
           ]
         }
-
+      ],
+      "source": [
+        "iris_df.info()"
       ]
     },
     {
@@ -229,21 +198,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 5,
       "metadata": {
-        "id": "tWV-CMstFIRA",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 297
         },
+        "id": "tWV-CMstFIRA",
         "outputId": "4fc49941-bc13-4b0c-a412-cb39e7d3f289"
       },
-      "source": [
-        "iris_df.describe()"
-      ],
-      "execution_count": 5,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -343,9 +308,13 @@
               "max             7.900000          4.400000           6.900000          2.500000"
             ]
           },
+          "execution_count": 5,
           "metadata": {},
-          "execution_count": 5
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "iris_df.describe()"
       ]
     },
     {
@@ -371,23 +340,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 6,
       "metadata": {
-        "trusted": false,
-        "id": "DZMJZh0OgRrw",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 204
         },
-        "outputId": "d9393ee5-c106-4797-f815-218f17160e00"
+        "id": "DZMJZh0OgRrw",
+        "outputId": "d9393ee5-c106-4797-f815-218f17160e00",
+        "trusted": false
       },
-      "source": [
-        "iris_df.head()"
-      ],
-      "execution_count": 6,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -463,10 +427,13 @@
               "4                5.0               3.6                1.4               0.2"
             ]
           },
+          "execution_count": 6,
           "metadata": {},
-
-          "execution_count": 6
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "iris_df.head()"
       ]
     },
     {
@@ -491,17 +458,16 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 7,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "EKRmRFFegRrz"
+        "id": "EKRmRFFegRrz",
+        "trusted": false
       },
+      "outputs": [],
       "source": [
         "# Hint: Consult the documentation by using iris_df.head?"
-      ],
-      "execution_count": 7,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -515,23 +481,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 8,
       "metadata": {
-        "trusted": false,
-        "id": "heanjfGWgRr2",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 0
         },
-        "outputId": "6ae09a21-fe09-4110-b0d7-1a1fbf34d7f3"
+        "id": "heanjfGWgRr2",
+        "outputId": "6ae09a21-fe09-4110-b0d7-1a1fbf34d7f3",
+        "trusted": false
       },
-      "source": [
-        "iris_df.tail()"
-      ],
-      "execution_count": 8,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -607,10 +568,13 @@
               "149                5.9               3.0                5.1               1.8"
             ]
           },
+          "execution_count": 8,
           "metadata": {},
-
-          "execution_count": 8
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "iris_df.tail()"
       ]
     },
     {
@@ -633,9 +597,9 @@
       },
       "source": [
         "### Missing Data\n",
-        "Let us dive into missing data. Missing data occurs, when no value is sotred in some of the columns. \n",
+        "Let us dive into missing data. Missing data occurs, when no value is stored in some of the columns. \n",
         "\n",
-        "Let us take an example: say someone is concious about his/her weight and doesn't fill the weight field in a survey. Then, the weight value for that certain person will be missing. \n",
+        "Let us take an example: say someone is conscious about his/her weight and doesn't fill the weight field in a survey. Then, the weight value for that certain person will be missing. \n",
         "\n",
         "Most of the time, in real world datasets, missing values occur.\n",
         "\n",
@@ -661,38 +625,33 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 9,
       "metadata": {
-        "trusted": false,
-        "id": "QIoNdY4ngRr7",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "92779f18-62f4-4a03-eca2-e9a101604336"
+        "id": "QIoNdY4ngRr7",
+        "outputId": "92779f18-62f4-4a03-eca2-e9a101604336",
+        "trusted": false
       },
-      "source": [
-        "import numpy as np\n",
-        "\n",
-        "example1 = np.array([2, None, 6, 8])\n",
-        "example1"
-      ],
-
-      "execution_count": 9,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "array([2, None, 6, 8], dtype=object)"
             ]
           },
+          "execution_count": 9,
           "metadata": {},
-
-          "execution_count": 9
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "import numpy as np\n",
+        "\n",
+        "example1 = np.array([2, None, 6, 8])\n",
+        "example1"
       ]
-
-
     },
     {
       "cell_type": "markdown",
@@ -707,26 +666,21 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 10,
       "metadata": {
-        "trusted": false,
-        "id": "gWbx-KB9gRr8",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 292
         },
-        "outputId": "ecba710a-22ec-41d5-a39c-11f67e645b50"
+        "id": "gWbx-KB9gRr8",
+        "outputId": "ecba710a-22ec-41d5-a39c-11f67e645b50",
+        "trusted": false
       },
-      "source": [
-        "example1.sum()"
-      ],
-      "execution_count": 10,
       "outputs": [
         {
-          "output_type": "error",
           "ename": "TypeError",
-
           "evalue": "ignored",
+          "output_type": "error",
           "traceback": [
             "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
             "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
@@ -735,6 +689,9 @@
             "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for +: 'int' and 'NoneType'"
           ]
         }
+      ],
+      "source": [
+        "example1.sum()"
       ]
     },
     {
@@ -759,61 +716,57 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 11,
       "metadata": {
-        "trusted": false,
-        "id": "rcFYfMG9gRr9",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "699e81b7-5c11-4b46-df1d-06071768690f"
+        "id": "rcFYfMG9gRr9",
+        "outputId": "699e81b7-5c11-4b46-df1d-06071768690f",
+        "trusted": false
       },
-      "source": [
-        "np.nan + 1"
-      ],
-      "execution_count": 11,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "nan"
             ]
           },
+          "execution_count": 11,
           "metadata": {},
-
-          "execution_count": 11
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "np.nan + 1"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": 12,
       "metadata": {
-        "trusted": false,
-        "id": "BW3zQD2-gRr-",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "4525b6c4-495d-4f7b-a979-efce1dae9bd0"
+        "id": "BW3zQD2-gRr-",
+        "outputId": "4525b6c4-495d-4f7b-a979-efce1dae9bd0",
+        "trusted": false
       },
-      "source": [
-        "np.nan * 0"
-      ],
-      "execution_count": 12,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "nan"
             ]
           },
+          "execution_count": 12,
           "metadata": {},
-
-          "execution_count": 12
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "np.nan * 0"
       ]
-
     },
     {
       "cell_type": "markdown",
@@ -826,37 +779,31 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 13,
       "metadata": {
-        "trusted": false,
-        "id": "LCInVgSSgRr_",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "fa06495a-0930-4867-87c5-6023031ea8b5"
+        "id": "LCInVgSSgRr_",
+        "outputId": "fa06495a-0930-4867-87c5-6023031ea8b5",
+        "trusted": false
       },
-
-
-      "source": [
-        "example2 = np.array([2, np.nan, 6, 8]) \n",
-        "example2.sum(), example2.min(), example2.max()"
-      ],
-
-      "execution_count": 13,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "(nan, nan, nan)"
             ]
           },
+          "execution_count": 13,
           "metadata": {},
-
-          "execution_count": 13
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example2 = np.array([2, np.nan, 6, 8]) \n",
+        "example2.sum(), example2.min(), example2.max()"
       ]
-
     },
     {
       "cell_type": "markdown",
@@ -869,18 +816,16 @@
     },
     {
       "cell_type": "code",
-
       "execution_count": 11,
-      "source": [
-        "# What happens if you add np.nan and None together?\n"
-      ],
-      "outputs": [],
-
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "yan3QRaOgRr_"
-      }
+        "id": "yan3QRaOgRr_",
+        "trusted": false
+      },
+      "outputs": [],
+      "source": [
+        "# What happens if you add np.nan and None together?\n"
+      ]
     },
     {
       "cell_type": "markdown",
@@ -904,25 +849,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 15,
       "metadata": {
-        "trusted": false,
-        "id": "Nji-KGdNgRsA",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "36aa14d2-8efa-4bfd-c0ed-682991288822"
+        "id": "Nji-KGdNgRsA",
+        "outputId": "36aa14d2-8efa-4bfd-c0ed-682991288822",
+        "trusted": false
       },
-      "source": [
-        "int_series = pd.Series([1, 2, 3], dtype=int)\n",
-        "int_series"
-      ],
-
-      "execution_count": 15,
-
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "0    1\n",
@@ -931,10 +868,14 @@
               "dtype: int64"
             ]
           },
+          "execution_count": 15,
           "metadata": {},
-
-          "execution_count": 15
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "int_series = pd.Series([1, 2, 3], dtype=int)\n",
+        "int_series"
       ]
     },
     {
@@ -948,18 +889,18 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 16,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "Cy-gqX5-gRsB"
+        "id": "Cy-gqX5-gRsB",
+        "trusted": false
       },
+      "outputs": [],
       "source": [
         "# Now set an element of int_series equal to None.\n",
         "# How does that element show up in the Series?\n",
         "# What is the dtype of the Series?\n"
-      ],
-      "execution_count": 16,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -967,7 +908,7 @@
         "id": "WjMQwltNgRsB"
       },
       "source": [
-        "In the process of upcasting data types to establish data homogeneity in `Seires` and `DataFrame`s, pandas will willingly switch missing values between `None` and `NaN`. Because of this design feature, it can be helpful to think of `None` and `NaN` as two different flavors of \"null\" in pandas. Indeed, some of the core methods you will use to deal with missing values in pandas reflect this idea in their names:\n",
+        "In the process of upcasting data types to establish data homogeneity in `Series` and `DataFrame`s, pandas will willingly switch missing values between `None` and `NaN`. Because of this design feature, it can be helpful to think of `None` and `NaN` as two different flavors of \"null\" in pandas. Indeed, some of the core methods you will use to deal with missing values in pandas reflect this idea in their names:\n",
         "\n",
         "- `isnull()`: Generates a Boolean mask indicating missing values\n",
         "- `notnull()`: Opposite of `isnull()`\n",
@@ -991,36 +932,30 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 17,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "e-vFp5lvgRsC"
+        "id": "e-vFp5lvgRsC",
+        "trusted": false
       },
+      "outputs": [],
       "source": [
         "example3 = pd.Series([0, np.nan, '', None])"
-      ],
-      "execution_count": 17,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
-
+      "execution_count": 18,
       "metadata": {
-        "trusted": false,
-        "id": "1XdaJJ7PgRsC",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "92fc363a-1874-471f-846d-f4f9ce1f51d0"
+        "id": "1XdaJJ7PgRsC",
+        "outputId": "92fc363a-1874-471f-846d-f4f9ce1f51d0",
+        "trusted": false
       },
-      "source": [
-        "example3.isnull()"
-      ],
-      "execution_count": 18,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "0    False\n",
@@ -1030,10 +965,13 @@
               "dtype: bool"
             ]
           },
+          "execution_count": 18,
           "metadata": {},
-
-          "execution_count": 18
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example3.isnull()"
       ]
     },
     {
@@ -1051,6 +989,7 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 19,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1058,21 +997,20 @@
         "id": "JCcQVoPkHDUv",
         "outputId": "001daa72-54f8-4bd5-842a-4df627a79d4d"
       },
-      "source": [
-        "example3.isnull().sum()"
-      ],
-      "execution_count": 19,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "2"
             ]
           },
+          "execution_count": 19,
           "metadata": {},
-          "execution_count": 19
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example3.isnull().sum()"
       ]
     },
     {
@@ -1086,19 +1024,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 20,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "ggDVf5uygRsD"
+        "id": "ggDVf5uygRsD",
+        "trusted": false
       },
-
+      "outputs": [],
       "source": [
         "# Try running example3[example3.notnull()].\n",
         "# Before you do so, what do you expect to see?\n"
-      ],
-      "execution_count": 20,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -1150,23 +1086,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 21,
       "metadata": {
-        "trusted": false,
-        "id": "7uIvS097gRsD",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "c13fc117-4ca1-4145-a0aa-42ac89e6e218"
+        "id": "7uIvS097gRsD",
+        "outputId": "c13fc117-4ca1-4145-a0aa-42ac89e6e218",
+        "trusted": false
       },
-      "source": [
-        "example3 = example3.dropna()\n",
-        "example3"
-      ],
-      "execution_count": 21,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "0    0\n",
@@ -1174,10 +1104,14 @@
               "dtype: object"
             ]
           },
+          "execution_count": 21,
           "metadata": {},
-
-          "execution_count": 21
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example3 = example3.dropna()\n",
+        "example3"
       ]
     },
     {
@@ -1193,28 +1127,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 22,
       "metadata": {
-        "trusted": false,
-        "id": "an-l74sPgRsE",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "340876a0-63ad-40f6-bd54-6240cdae50ab"
+        "id": "an-l74sPgRsE",
+        "outputId": "340876a0-63ad-40f6-bd54-6240cdae50ab",
+        "trusted": false
       },
-
-      "source": [
-        "example4 = pd.DataFrame([[1,      np.nan, 7], \n",
-        "                         [2,      5,      8], \n",
-        "                         [np.nan, 6,      9]])\n",
-        "example4"
-      ],
-
-      "execution_count": 22,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1270,10 +1194,16 @@
               "2  NaN  6.0  9"
             ]
           },
+          "execution_count": 22,
           "metadata": {},
-
-          "execution_count": 22
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4 = pd.DataFrame([[1,      np.nan, 7], \n",
+        "                         [2,      5,      8], \n",
+        "                         [np.nan, 6,      9]])\n",
+        "example4"
       ]
     },
     {
@@ -1289,23 +1219,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 23,
       "metadata": {
-        "trusted": false,
-        "id": "jAVU24RXgRsE",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 80
         },
-        "outputId": "0b5e5aee-7187-4d3f-b583-a44136ae5f80"
+        "id": "jAVU24RXgRsE",
+        "outputId": "0b5e5aee-7187-4d3f-b583-a44136ae5f80",
+        "trusted": false
       },
-      "source": [
-        "example4.dropna()"
-      ],
-      "execution_count": 23,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1347,10 +1272,13 @@
               "1  2.0  5.0  8"
             ]
           },
+          "execution_count": 23,
           "metadata": {},
-
-          "execution_count": 23
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4.dropna()"
       ]
     },
     {
@@ -1364,23 +1292,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 24,
       "metadata": {
-        "trusted": false,
-        "id": "GrBhxu9GgRsE",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "ff4001f3-2e61-4509-d60e-0093d1068437"
+        "id": "GrBhxu9GgRsE",
+        "outputId": "ff4001f3-2e61-4509-d60e-0093d1068437",
+        "trusted": false
       },
-      "source": [
-        "example4.dropna(axis='columns')"
-      ],
-      "execution_count": 24,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1428,10 +1351,13 @@
               "2  9"
             ]
           },
+          "execution_count": 24,
           "metadata": {},
-
-          "execution_count": 24
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4.dropna(axis='columns')"
       ]
     },
     {
@@ -1447,25 +1373,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 25,
       "metadata": {
-        "trusted": false,
-        "id": "Bcf_JWTsgRsF",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "72e0b1b8-52fa-4923-98ce-b6fbed6e44b1"
+        "id": "Bcf_JWTsgRsF",
+        "outputId": "72e0b1b8-52fa-4923-98ce-b6fbed6e44b1",
+        "trusted": false
       },
-      "source": [
-        "example4[3] = np.nan\n",
-        "example4"
-      ],
-
-      "execution_count": 25,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1525,10 +1444,14 @@
               "2  NaN  6.0  9 NaN"
             ]
           },
+          "execution_count": 25,
           "metadata": {},
-
-          "execution_count": 25
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4[3] = np.nan\n",
+        "example4"
       ]
     },
     {
@@ -1556,16 +1479,16 @@
     {
       "cell_type": "code",
       "execution_count": 22,
+      "metadata": {
+        "collapsed": true,
+        "id": "ExUwQRxpgRsF",
+        "trusted": false
+      },
+      "outputs": [],
       "source": [
         "# How might you go about dropping just column 3?\n",
         "# Hint: remember that you will need to supply both the axis parameter and the how parameter.\n"
-      ],
-      "outputs": [],
-      "metadata": {
-        "collapsed": true,
-        "trusted": false,
-        "id": "ExUwQRxpgRsF"
-      }
+      ]
     },
     {
       "cell_type": "markdown",
@@ -1578,23 +1501,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 27,
       "metadata": {
-        "trusted": false,
-        "id": "M9dCNMaagRsG",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 80
         },
-        "outputId": "8093713a-54d2-4e54-c73f-4eea315cb6f2"
+        "id": "M9dCNMaagRsG",
+        "outputId": "8093713a-54d2-4e54-c73f-4eea315cb6f2",
+        "trusted": false
       },
-      "source": [
-        "example4.dropna(axis='rows', thresh=3)"
-      ],
-      "execution_count": 27,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1638,10 +1556,13 @@
               "1  2.0  5.0  8 NaN"
             ]
           },
+          "execution_count": 27,
           "metadata": {},
-
-          "execution_count": 27
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4.dropna(axis='rows', thresh=3)"
       ]
     },
     {
@@ -1683,7 +1604,7 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 28,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1692,19 +1613,8 @@
         "id": "MY5faq4yLdpQ",
         "outputId": "19ab472e-1eed-4de8-f8a7-db2a3af3cb1a"
       },
-      "source": [
-        "fill_with_mode = pd.DataFrame([[1,2,\"True\"],\n",
-        "                               [3,4,None],\n",
-        "                               [5,6,\"False\"],\n",
-        "                               [7,8,\"True\"],\n",
-        "                               [9,10,\"True\"]])\n",
-        "\n",
-        "fill_with_mode"
-      ],
-      "execution_count": 28,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1774,9 +1684,19 @@
               "4  9  10   True"
             ]
           },
+          "execution_count": 28,
           "metadata": {},
-          "execution_count": 28
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_mode = pd.DataFrame([[1,2,\"True\"],\n",
+        "                               [3,4,None],\n",
+        "                               [5,6,\"False\"],\n",
+        "                               [7,8,\"True\"],\n",
+        "                               [9,10,\"True\"]])\n",
+        "\n",
+        "fill_with_mode"
       ]
     },
     {
@@ -1790,6 +1710,7 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 29,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/"
@@ -1797,13 +1718,8 @@
         "id": "WKy-9Y2tN5jv",
         "outputId": "8da9fa16-e08c-447e-dea1-d4b1db2feebf"
       },
-      "source": [
-        "fill_with_mode[2].value_counts()"
-      ],
-      "execution_count": 29,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "True     3\n",
@@ -1811,9 +1727,13 @@
               "Name: 2, dtype: int64"
             ]
           },
+          "execution_count": 29,
           "metadata": {},
-          "execution_count": 29
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_mode[2].value_counts()"
       ]
     },
     {
@@ -1827,17 +1747,18 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 30,
       "metadata": {
         "id": "TxPKteRvNPOs"
       },
+      "outputs": [],
       "source": [
         "fill_with_mode[2].fillna('True',inplace=True)"
-      ],
-      "execution_count": 30,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 31,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1846,13 +1767,8 @@
         "id": "tvas7c9_OPWE",
         "outputId": "ec3c8e44-d644-475e-9e22-c65101965850"
       },
-      "source": [
-        "fill_with_mode"
-      ],
-      "execution_count": 31,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -1922,9 +1838,13 @@
               "4  9  10   True"
             ]
           },
+          "execution_count": 31,
           "metadata": {},
-          "execution_count": 31
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_mode"
       ]
     },
     {
@@ -1948,7 +1868,7 @@
         "1. Replace with Median of the row\n",
         "2. Replace with Mean of the row \n",
         "\n",
-        "We replace with Median, in case of skewed data with outliers. This is beacuse median is robust to outliers.\n",
+        "We replace with Median, in case of skewed data with outliers. This is because median is robust to outliers.\n",
         "\n",
         "When the data is normalized, we can use mean, as in that case, mean and median would be pretty close.\n",
         "\n",
@@ -1957,6 +1877,7 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 32,
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -1965,19 +1886,8 @@
         "id": "09HM_2feOj5Y",
         "outputId": "7e309013-9acb-411c-9b06-4de795bbeeff"
       },
-      "source": [
-        "fill_with_mean = pd.DataFrame([[-2,0,1],\n",
-        "                               [-1,2,3],\n",
-        "                               [np.nan,4,5],\n",
-        "                               [1,6,7],\n",
-        "                               [2,8,9]])\n",
-        "\n",
-        "fill_with_mean"
-      ],
-      "execution_count": 32,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2047,9 +1957,19 @@
               "4  2.0  8  9"
             ]
           },
+          "execution_count": 32,
           "metadata": {},
-          "execution_count": 32
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_mean = pd.DataFrame([[-2,0,1],\n",
+        "                               [-1,2,3],\n",
+        "                               [np.nan,4,5],\n",
+        "                               [1,6,7],\n",
+        "                               [2,8,9]])\n",
+        "\n",
+        "fill_with_mean"
       ]
     },
     {
@@ -2063,28 +1983,28 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 33,
       "metadata": {
-        "id": "XYtYEf5BSxFL",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "XYtYEf5BSxFL",
         "outputId": "68a78d18-f0e5-4a9a-a959-2c3676a57c70"
       },
-      "source": [
-        "np.mean(fill_with_mean[0])"
-      ],
-      "execution_count": 33,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "0.0"
             ]
           },
+          "execution_count": 33,
           "metadata": {},
-          "execution_count": 33
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "np.mean(fill_with_mean[0])"
       ]
     },
     {
@@ -2098,22 +2018,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 34,
       "metadata": {
-        "id": "FzncQLmuS5jh",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 204
         },
+        "id": "FzncQLmuS5jh",
         "outputId": "00f74fff-01f4-4024-c261-796f50f01d2e"
       },
-      "source": [
-        "fill_with_mean[0].fillna(np.mean(fill_with_mean[0]),inplace=True)\n",
-        "fill_with_mean"
-      ],
-      "execution_count": 34,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2183,9 +2098,14 @@
               "4  2.0  8  9"
             ]
           },
+          "execution_count": 34,
           "metadata": {},
-          "execution_count": 34
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_mean[0].fillna(np.mean(fill_with_mean[0]),inplace=True)\n",
+        "fill_with_mean"
       ]
     },
     {
@@ -2208,27 +2128,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 35,
       "metadata": {
-        "id": "DA59Bqo3jBYZ",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 204
         },
+        "id": "DA59Bqo3jBYZ",
         "outputId": "85dae6ec-7394-4c36-fda0-e04769ec4a32"
       },
-      "source": [
-        "fill_with_median = pd.DataFrame([[-2,0,1],\n",
-        "                               [-1,2,3],\n",
-        "                               [0,np.nan,5],\n",
-        "                               [1,6,7],\n",
-        "                               [2,8,9]])\n",
-        "\n",
-        "fill_with_median"
-      ],
-      "execution_count": 35,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2298,9 +2208,19 @@
               "4  2  8.0  9"
             ]
           },
+          "execution_count": 35,
           "metadata": {},
-          "execution_count": 35
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_median = pd.DataFrame([[-2,0,1],\n",
+        "                               [-1,2,3],\n",
+        "                               [0,np.nan,5],\n",
+        "                               [1,6,7],\n",
+        "                               [2,8,9]])\n",
+        "\n",
+        "fill_with_median"
       ]
     },
     {
@@ -2314,28 +2234,28 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 36,
       "metadata": {
-        "id": "uiDy5v3xjHHX",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "uiDy5v3xjHHX",
         "outputId": "564b6b74-2004-4486-90d4-b39330a64b88"
       },
-      "source": [
-        "fill_with_median[1].median()"
-      ],
-      "execution_count": 36,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "4.0"
             ]
           },
+          "execution_count": 36,
           "metadata": {},
-          "execution_count": 36
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_median[1].median()"
       ]
     },
     {
@@ -2349,22 +2269,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 37,
       "metadata": {
-        "id": "lFKbOxCMkBbg",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 204
         },
+        "id": "lFKbOxCMkBbg",
         "outputId": "a8bd18fb-2765-47d4-e5fe-e965f57ed1f4"
       },
-      "source": [
-        "fill_with_median[1].fillna(fill_with_median[1].median(),inplace=True)\n",
-        "fill_with_median"
-      ],
-      "execution_count": 37,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2434,9 +2349,14 @@
               "4  2  8.0  9"
             ]
           },
+          "execution_count": 37,
           "metadata": {},
-          "execution_count": 37
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "fill_with_median[1].fillna(fill_with_median[1].median(),inplace=True)\n",
+        "fill_with_median"
       ]
     },
     {
@@ -2450,22 +2370,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 38,
       "metadata": {
-        "trusted": false,
-        "id": "0ybtWLDdgRsG",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "b8c238ef-6024-4ee2-be2b-aa1f0fcac61d"
+        "id": "0ybtWLDdgRsG",
+        "outputId": "b8c238ef-6024-4ee2-be2b-aa1f0fcac61d",
+        "trusted": false
       },
-      "source": [
-        "example5 = pd.Series([1, np.nan, 2, None, 3], index=list('abcde'))\n",
-        "example5"
-      ],
-      "execution_count": 38,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "a    1.0\n",
@@ -2476,9 +2391,14 @@
               "dtype: float64"
             ]
           },
+          "execution_count": 38,
           "metadata": {},
-          "execution_count": 38
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example5 = pd.Series([1, np.nan, 2, None, 3], index=list('abcde'))\n",
+        "example5"
       ]
     },
     {
@@ -2492,22 +2412,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 39,
       "metadata": {
-        "trusted": false,
-        "id": "KXMIPsQdgRsH",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "aeedfa0a-a421-4c2f-cb0d-183ce8f0c91d"
+        "id": "KXMIPsQdgRsH",
+        "outputId": "aeedfa0a-a421-4c2f-cb0d-183ce8f0c91d",
+        "trusted": false
       },
-      "source": [
-        "example5.fillna(0)"
-      ],
-      "execution_count": 39,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "a    1.0\n",
@@ -2518,15 +2433,17 @@
               "dtype: float64"
             ]
           },
+          "execution_count": 39,
           "metadata": {},
-
-          "execution_count": 39
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example5.fillna(0)"
       ]
     },
     {
       "cell_type": "markdown",
-
       "metadata": {
         "id": "RRlI5f_hkfKe"
       },
@@ -2549,17 +2466,16 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 40,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "af-ezpXdgRsH"
+        "id": "af-ezpXdgRsH",
+        "trusted": false
       },
+      "outputs": [],
       "source": [
         "# What happens if you try to fill null values with a string, like ''?\n"
-      ],
-      "execution_count": 40,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -2572,22 +2488,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 41,
       "metadata": {
-        "trusted": false,
-        "id": "vO3BuNrggRsI",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "e2bc591b-0b48-4e88-ee65-754f2737c196"
+        "id": "vO3BuNrggRsI",
+        "outputId": "e2bc591b-0b48-4e88-ee65-754f2737c196",
+        "trusted": false
       },
-      "source": [
-        "example5.fillna(method='ffill')"
-      ],
-      "execution_count": 41,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "a    1.0\n",
@@ -2598,10 +2509,13 @@
               "dtype: float64"
             ]
           },
+          "execution_count": 41,
           "metadata": {},
-
-          "execution_count": 41
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example5.fillna(method='ffill')"
       ]
     },
     {
@@ -2615,22 +2529,17 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 42,
       "metadata": {
-        "trusted": false,
-        "id": "4M5onHcEgRsI",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "8f32b185-40dd-4a9f-bd85-54d6b6a414fe"
+        "id": "4M5onHcEgRsI",
+        "outputId": "8f32b185-40dd-4a9f-bd85-54d6b6a414fe",
+        "trusted": false
       },
-      "source": [
-        "example5.fillna(method='bfill')"
-      ],
-      "execution_count": 42,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "a    1.0\n",
@@ -2641,10 +2550,13 @@
               "dtype: float64"
             ]
           },
+          "execution_count": 42,
           "metadata": {},
-
-          "execution_count": 42
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example5.fillna(method='bfill')"
       ]
     },
     {
@@ -2659,23 +2571,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 43,
       "metadata": {
-        "trusted": false,
-        "id": "aRpIvo4ZgRsI",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "905a980a-a808-4eca-d0ba-224bd7d85955"
+        "id": "aRpIvo4ZgRsI",
+        "outputId": "905a980a-a808-4eca-d0ba-224bd7d85955",
+        "trusted": false
       },
-      "source": [
-        "example4"
-      ],
-      "execution_count": 43,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2735,30 +2642,29 @@
               "2  NaN  6.0  9 NaN"
             ]
           },
+          "execution_count": 43,
           "metadata": {},
-
-          "execution_count": 43
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": 44,
       "metadata": {
-        "trusted": false,
-        "id": "VM1qtACAgRsI",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "71f2ad28-9b4e-4ff4-f5c3-e731eb489ade"
+        "id": "VM1qtACAgRsI",
+        "outputId": "71f2ad28-9b4e-4ff4-f5c3-e731eb489ade",
+        "trusted": false
       },
-      "source": [
-        "example4.fillna(method='ffill', axis=1)"
-      ],
-      "execution_count": 44,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2818,9 +2724,13 @@
               "2  NaN  6.0  9.0  9.0"
             ]
           },
+          "execution_count": 44,
           "metadata": {},
-          "execution_count": 44
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4.fillna(method='ffill', axis=1)"
       ]
     },
     {
@@ -2843,18 +2753,18 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 45,
       "metadata": {
         "collapsed": true,
-        "trusted": false,
-        "id": "e8S-CjW8gRsJ"
+        "id": "e8S-CjW8gRsJ",
+        "trusted": false
       },
+      "outputs": [],
       "source": [
         "# What output does example4.fillna(method='bfill', axis=1) produce?\n",
         "# What about example4.fillna(method='ffill') or example4.fillna(method='bfill')?\n",
         "# Can you think of a longer code snippet to write that can fill all of the null values in example4?\n"
-      ],
-      "execution_count": 45,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -2867,23 +2777,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 46,
       "metadata": {
-        "trusted": false,
-        "id": "OtYVErEygRsJ",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "708b1e67-45ca-44bf-a5ee-8b2de09ece73"
+        "id": "OtYVErEygRsJ",
+        "outputId": "708b1e67-45ca-44bf-a5ee-8b2de09ece73",
+        "trusted": false
       },
-      "source": [
-        "example4.fillna(example4.mean())"
-      ],
-      "execution_count": 46,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -2943,10 +2848,13 @@
               "2  1.5  6.0  9 NaN"
             ]
           },
+          "execution_count": 46,
           "metadata": {},
-
-          "execution_count": 46
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example4.fillna(example4.mean())"
       ]
     },
     {
@@ -2987,29 +2895,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 47,
       "metadata": {
-        "id": "1vGz7uZyoWHL",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 235
         },
+        "id": "1vGz7uZyoWHL",
         "outputId": "9e252855-d193-4103-a54d-028ea7787b34"
       },
-      "source": [
-        "label = pd.DataFrame([\n",
-        "                      [10,'business class'],\n",
-        "                      [20,'first class'],\n",
-        "                      [30, 'economy class'],\n",
-        "                      [40, 'economy class'],\n",
-        "                      [50, 'economy class'],\n",
-        "                      [60, 'business class']\n",
-        "],columns=['ID','class'])\n",
-        "label"
-      ],
-      "execution_count": 47,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3079,9 +2975,21 @@
               "5  60  business class"
             ]
           },
+          "execution_count": 47,
           "metadata": {},
-          "execution_count": 47
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "label = pd.DataFrame([\n",
+        "                      [10,'business class'],\n",
+        "                      [20,'first class'],\n",
+        "                      [30, 'economy class'],\n",
+        "                      [40, 'economy class'],\n",
+        "                      [50, 'economy class'],\n",
+        "                      [60, 'business class']\n",
+        "],columns=['ID','class'])\n",
+        "label"
       ]
     },
     {
@@ -3095,23 +3003,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 48,
       "metadata": {
-        "id": "ZC5URJG3o1ES",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 235
         },
+        "id": "ZC5URJG3o1ES",
         "outputId": "aab0f1e7-e0f3-4c14-8459-9f9168c85437"
       },
-      "source": [
-        "class_labels = {'business class':0,'economy class':1,'first class':2}\n",
-        "label['class'] = label['class'].replace(class_labels)\n",
-        "label"
-      ],
-      "execution_count": 48,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3181,9 +3083,15 @@
               "5  60      0"
             ]
           },
+          "execution_count": 48,
           "metadata": {},
-          "execution_count": 48
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "class_labels = {'business class':0,'economy class':1,'first class':2}\n",
+        "label['class'] = label['class'].replace(class_labels)\n",
+        "label"
       ]
     },
     {
@@ -3212,29 +3120,17 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 49,
       "metadata": {
-        "id": "ZM0eVh0ArKUL",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 235
         },
+        "id": "ZM0eVh0ArKUL",
         "outputId": "83238a76-b3a5-418d-c0b6-605b02b6891b"
       },
-      "source": [
-        "one_hot = pd.DataFrame([\n",
-        "                      [10,'business class'],\n",
-        "                      [20,'first class'],\n",
-        "                      [30, 'economy class'],\n",
-        "                      [40, 'economy class'],\n",
-        "                      [50, 'economy class'],\n",
-        "                      [60, 'business class']\n",
-        "],columns=['ID','class'])\n",
-        "one_hot"
-      ],
-      "execution_count": 49,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3304,9 +3200,21 @@
               "5  60  business class"
             ]
           },
+          "execution_count": 49,
           "metadata": {},
-          "execution_count": 49
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "one_hot = pd.DataFrame([\n",
+        "                      [10,'business class'],\n",
+        "                      [20,'first class'],\n",
+        "                      [30, 'economy class'],\n",
+        "                      [40, 'economy class'],\n",
+        "                      [50, 'economy class'],\n",
+        "                      [60, 'business class']\n",
+        "],columns=['ID','class'])\n",
+        "one_hot"
       ]
     },
     {
@@ -3320,32 +3228,28 @@
     },
     {
       "cell_type": "code",
+      "execution_count": 50,
       "metadata": {
         "id": "RUPxf7egrYKr"
       },
+      "outputs": [],
       "source": [
         "one_hot_data = pd.get_dummies(one_hot,columns=['class'])"
-      ],
-      "execution_count": 50,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": 51,
       "metadata": {
-        "id": "TM37pHsFr4ge",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 235
         },
+        "id": "TM37pHsFr4ge",
         "outputId": "7be15f53-79b2-447a-979c-822658339a9e"
       },
-      "source": [
-        "one_hot_data"
-      ],
-      "execution_count": 51,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3429,9 +3333,13 @@
               "5  60                     1                    0                  0"
             ]
           },
+          "execution_count": 51,
           "metadata": {},
-          "execution_count": 51
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "one_hot_data"
       ]
     },
     {
@@ -3487,30 +3395,23 @@
       "source": [
         "### Identifying duplicates: `duplicated`\n",
         "\n",
-        "You can easily spot duplicate values using the `duplicated` method in pandas, which returns a Boolean mask indicating whether an entry in a `DataFrame` is a duplicate of an ealier one. Let's create another example `DataFrame` to see this in action."
+        "You can easily spot duplicate values using the `duplicated` method in pandas, which returns a Boolean mask indicating whether an entry in a `DataFrame` is a duplicate of an earlier one. Let's create another example `DataFrame` to see this in action."
       ]
     },
     {
       "cell_type": "code",
-
+      "execution_count": 52,
       "metadata": {
-        "trusted": false,
-        "id": "ZLu6FEnZgRsJ",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 204
         },
-        "outputId": "376512d1-d842-4db1-aea3-71052aeeecaf"
+        "id": "ZLu6FEnZgRsJ",
+        "outputId": "376512d1-d842-4db1-aea3-71052aeeecaf",
+        "trusted": false
       },
-      "source": [
-        "example6 = pd.DataFrame({'letters': ['A','B'] * 2 + ['B'],\n",
-        "                         'numbers': [1, 2, 1, 3, 3]})\n",
-        "example6"
-      ],
-      "execution_count": 52,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3574,29 +3475,30 @@
               "4       B        3"
             ]
           },
+          "execution_count": 52,
           "metadata": {},
-
-          "execution_count": 52
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example6 = pd.DataFrame({'letters': ['A','B'] * 2 + ['B'],\n",
+        "                         'numbers': [1, 2, 1, 3, 3]})\n",
+        "example6"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": 53,
       "metadata": {
-        "trusted": false,
-        "id": "cIduB5oBgRsK",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
-        "outputId": "3da27b3d-4d69-4e1d-bb52-0af21bae87f2"
+        "id": "cIduB5oBgRsK",
+        "outputId": "3da27b3d-4d69-4e1d-bb52-0af21bae87f2",
+        "trusted": false
       },
-      "source": [
-        "example6.duplicated()"
-      ],
-      "execution_count": 53,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": [
               "0    False\n",
@@ -3607,9 +3509,13 @@
               "dtype: bool"
             ]
           },
+          "execution_count": 53,
           "metadata": {},
-          "execution_count": 53
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example6.duplicated()"
       ]
     },
     {
@@ -3624,23 +3530,18 @@
     },
     {
       "cell_type": "code",
-
+      "execution_count": 54,
       "metadata": {
-        "trusted": false,
-        "id": "w_YPpqIqgRsK",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 142
         },
-        "outputId": "ac66bd2f-8671-4744-87f5-8b8d96553dea"
+        "id": "w_YPpqIqgRsK",
+        "outputId": "ac66bd2f-8671-4744-87f5-8b8d96553dea",
+        "trusted": false
       },
-      "source": [
-        "example6.drop_duplicates()"
-      ],
-      "execution_count": 54,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3692,10 +3593,13 @@
               "3       B        3"
             ]
           },
+          "execution_count": 54,
           "metadata": {},
-
-          "execution_count": 54
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example6.drop_duplicates()"
       ]
     },
     {
@@ -3704,27 +3608,23 @@
         "id": "69AqoCZAgRsK"
       },
       "source": [
-        "Both `duplicated` and `drop_duplicates` default to consider all columnsm but you can specify that they examine only a subset of columns in your `DataFrame`:"
+        "Both `duplicated` and `drop_duplicates` default to consider all columns but you can specify that they examine only a subset of columns in your `DataFrame`:"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": 55,
       "metadata": {
-        "trusted": false,
-        "id": "BILjDs67gRsK",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 111
         },
-        "outputId": "ef6dcc08-db8b-4352-c44e-5aa9e2bec0d3"
+        "id": "BILjDs67gRsK",
+        "outputId": "ef6dcc08-db8b-4352-c44e-5aa9e2bec0d3",
+        "trusted": false
       },
-      "source": [
-        "example6.drop_duplicates(['letters'])"
-      ],
-      "execution_count": 55,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
             "text/html": [
               "<div>\n",
@@ -3770,10 +3670,13 @@
               "1       B        2"
             ]
           },
+          "execution_count": 55,
           "metadata": {},
-
-          "execution_count": 55
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "example6.drop_duplicates(['letters'])"
       ]
     },
     {
@@ -3785,6 +3688,31 @@
         "> **Takeaway:** Removing duplicate data is an essential part of almost every data-science project. Duplicate data can change the results of your analyses and give you inaccurate results!"
       ]
     }
-
-  ]
+  ],
+  "metadata": {
+    "anaconda-cloud": {},
+    "colab": {
+      "name": "notebook.ipynb",
+      "provenance": []
+    },
+    "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": "3.5.4"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
 }