{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Сезона грипа"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Да ли је број заражених грипом константан током године? Или се грип заиста јавља периодично/сезонски? Да ли су евентуалне правилности сличне у различитим државама? \n",
    "У потрази за одговорима на ова и/ли слична питања у вези са ширењем грипа (или прецизније вирусног обољења - изазваног вирусима типа инфлуенца А, Б или Ц) помоћи ће нам подаци Светске здравствене организације која кроз пројекат \"FluNet\" већ преко 20 година прати ширење вируса грипа. \n",
    "Подаци за различите државе могу се преузети [овде]( http://apps.who.int/flumart/Default?ReportNo=12), a неке од визуализација ових података могу се пронаћи на [сајту Светске здравствене организацаије](https://www.who.int/influenza/gisrs_laboratory/flunet/en/). У наставку ћемо научити како да репродукујемо неке од ових визуализација у пајтону и како да више сазнамо о сезоналности грипа користећи претходно преузете податке.\n",
    "Специјално:\n",
    "* по први пут ћемо се сусрести са подацима који имају временске одреднице и пратићемо број заражених из недеље у недељу \n",
    "* информације ћемо визуелно представити различитим линијским и стубичастим дијаграмима и упоредити их\n",
    "* анализираћемо трајање сезоне грипа у Србији и другим земљама"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "import datetime as dt\n",
    "\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## у Србији"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У фолдеру подаци наћи ћете претходно преузете фајлове са сајта СЗО које ћемо анализирати у наставку. За почетак, учитаћемо податке о праћењу грипа у Србији за целокупан доступан период, и функцијом [**head**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.head.html) ћемо погледати почетак табеле:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>WHOREGION</th>\n",
       "      <th>FLUREGION</th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>SDATE</th>\n",
       "      <th>EDATE</th>\n",
       "      <th>SPEC_RECEIVED_NB</th>\n",
       "      <th>SPEC_PROCESSED_NB</th>\n",
       "      <th>AH1</th>\n",
       "      <th>...</th>\n",
       "      <th>AH5</th>\n",
       "      <th>ANOTSUBTYPED</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>BYAMAGATA</th>\n",
       "      <th>BVICTORIA</th>\n",
       "      <th>BNOTDETERMINED</th>\n",
       "      <th>INF_B</th>\n",
       "      <th>ALL_INF</th>\n",
       "      <th>ALL_INF2</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>01/01/2007</td>\n",
       "      <td>07/01/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No Activity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>08/01/2007</td>\n",
       "      <td>14/01/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sporadic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country               WHOREGION          FLUREGION  Year  Week       SDATE  \\\n",
       "0  Serbia  European Region of WHO  South West Europe  2007     1  01/01/2007   \n",
       "1  Serbia  European Region of WHO  South West Europe  2007     2  08/01/2007   \n",
       "\n",
       "        EDATE  SPEC_RECEIVED_NB  SPEC_PROCESSED_NB  AH1  ...  AH5  \\\n",
       "0  07/01/2007               NaN                4.0  0.0  ...  NaN   \n",
       "1  14/01/2007               NaN                8.0  3.0  ...  NaN   \n",
       "\n",
       "   ANOTSUBTYPED  INF_A  BYAMAGATA  BVICTORIA  BNOTDETERMINED  INF_B  ALL_INF  \\\n",
       "0           0.0    0.0        NaN        NaN             NaN    NaN      0.0   \n",
       "1           0.0    4.0        NaN        NaN             NaN    NaN      4.0   \n",
       "\n",
       "   ALL_INF2        TITLE  \n",
       "0       NaN  No Activity  \n",
       "1       NaN     Sporadic  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs = pd.read_csv('data/grip data/Serbia_Flu_WHO_24072020.csv')\n",
    "grip_rs.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видимо да нам је на располагању 22 различите колоне, па како их је много функција **head** нам даје скраћен приказ. Уз помоћ функције [**info**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.info.html?highlight=info#pandas.DataFrame.info) проверићемо називе и тип података у свим колонам:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 708 entries, 0 to 707\n",
      "Data columns (total 22 columns):\n",
      "Country              708 non-null object\n",
      "WHOREGION            708 non-null object\n",
      "FLUREGION            708 non-null object\n",
      "Year                 708 non-null int64\n",
      "Week                 708 non-null int64\n",
      "SDATE                708 non-null object\n",
      "EDATE                708 non-null object\n",
      "SPEC_RECEIVED_NB     160 non-null float64\n",
      "SPEC_PROCESSED_NB    475 non-null float64\n",
      "AH1                  419 non-null float64\n",
      "AH1N12009            444 non-null float64\n",
      "AH3                  475 non-null float64\n",
      "AH5                  160 non-null float64\n",
      "ANOTSUBTYPED         475 non-null float64\n",
      "INF_A                475 non-null float64\n",
      "BYAMAGATA            440 non-null float64\n",
      "BVICTORIA            440 non-null float64\n",
      "BNOTDETERMINED       452 non-null float64\n",
      "INF_B                452 non-null float64\n",
      "ALL_INF              475 non-null float64\n",
      "ALL_INF2             90 non-null float64\n",
      "TITLE                708 non-null object\n",
      "dtypes: float64(14), int64(2), object(6)\n",
      "memory usage: 121.8+ KB\n"
     ]
    }
   ],
   "source": [
    "grip_rs.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Прво што можемо приметити - број уноса по колонама није исти у свакој од 22 колоне. \n",
    "Првих пар колона које дефинишу државу, регион коме припада и временске одреднице (година, редни број недеље у току године, датум почетка и краја недеље) имају највише уноса, док колоне које су везане за број узорака (енг. *SPEC_PROCESSED_NB*) и број узорака у којима је детектован вирус (типа А *INF_A*, типа Б, *INF_B* или укупно *ALL_INF*) имају мање уноса. То је вероватно зато што за неке недеље нема података, но то ћемо ускоро истражити. Интересантно је и што међу подацима имамо информације о броју заражених узорака по врстама детектованих вируса (нпр. *AH1N12009* или *BYAMAGATA*).\n",
    "Скоро све колоне су нумеричког типа (целобројни *int64* и рационални *float64*) што чини предстојећу анализу једноставнијом. Додатно примећујемо да колоне за које смо очекивали да буду препознате као датуми (SDATE, енг. 'start date' и EDATE енг. 'end date') имају тип *object*, зато ћемо у наставку те колоне превести у одговарајући формат уз помоћ функције [**to_datetime**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.to_datetime.html) у оквиру библиотеке *pandas*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "grip_rs['SDATE'] = pd.to_datetime(grip_rs['SDATE'], format=\"%d/%m/%Y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Да будемо сигурни да разумемо шта ова функција ради, трансформисали смо само колону *SDATE* па тип и формат ових података можете у наставку можете упоредити са колоном *EDATE*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>WHOREGION</th>\n",
       "      <th>FLUREGION</th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>SDATE</th>\n",
       "      <th>EDATE</th>\n",
       "      <th>SPEC_RECEIVED_NB</th>\n",
       "      <th>SPEC_PROCESSED_NB</th>\n",
       "      <th>AH1</th>\n",
       "      <th>...</th>\n",
       "      <th>AH5</th>\n",
       "      <th>ANOTSUBTYPED</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>BYAMAGATA</th>\n",
       "      <th>BVICTORIA</th>\n",
       "      <th>BNOTDETERMINED</th>\n",
       "      <th>INF_B</th>\n",
       "      <th>ALL_INF</th>\n",
       "      <th>ALL_INF2</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>07/01/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No Activity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Serbia</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>14/01/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sporadic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country               WHOREGION          FLUREGION  Year  Week      SDATE  \\\n",
       "0  Serbia  European Region of WHO  South West Europe  2007     1 2007-01-01   \n",
       "1  Serbia  European Region of WHO  South West Europe  2007     2 2007-01-08   \n",
       "\n",
       "        EDATE  SPEC_RECEIVED_NB  SPEC_PROCESSED_NB  AH1  ...  AH5  \\\n",
       "0  07/01/2007               NaN                4.0  0.0  ...  NaN   \n",
       "1  14/01/2007               NaN                8.0  3.0  ...  NaN   \n",
       "\n",
       "   ANOTSUBTYPED  INF_A  BYAMAGATA  BVICTORIA  BNOTDETERMINED  INF_B  ALL_INF  \\\n",
       "0           0.0    0.0        NaN        NaN             NaN    NaN      0.0   \n",
       "1           0.0    4.0        NaN        NaN             NaN    NaN      4.0   \n",
       "\n",
       "   ALL_INF2        TITLE  \n",
       "0       NaN  No Activity  \n",
       "1       NaN     Sporadic  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Обратите пажњу да смо у функцију **to_datetime** морали да додамо опциони аргумент *format* зато што би у супротном 07.01.2007. године био препознат као 01. јул а не као 07. јануар како ми желимо. На исти начин трансформисаћемо колону *EDATE*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "grip_rs['EDATE'] = pd.to_datetime(grip_rs['EDATE'], format=\"%d/%m/%Y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У анализи података битно нам је да проверимо тачност и доследност података, што није увек ни лак а често ни могућ посао, али бар основне провере конзистентности су често доступне. Овде на пример, није нам потребно да имамо датум и почетка и краја недеље, али постојање оба нам може користи да проверимо конзистентност. \n",
    "За почетак, проверићемо да ли се подаци о почетку недеље односе на почетак радне недеље, тј. понедељак. Функција [**weekday()**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DatetimeIndex.weekday.html) нам даје ту информацију, враћајући број од 0 до 6, за дане од понедељка до недеље. Погледајмо исход ове функције на првом елемeнту колоне *SDATE*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs.loc[0]['SDATE'].weekday()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можемо проверити и да ли су почетак и крај недеље увек удаљени једнак број дана (6), и ако је то тачно једна од колона нам је вишак. Иако то можемо проверити и користећи претходно уведену функцију **weekday** (покушајте!) за тип података који је препознат као временска одредница можемо обављати најједноставније одузимање:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timedelta('6 days 00:00:00')"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs.loc[0]['EDATE'] - grip_rs.loc[0]['SDATE']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверили смо да је удаљеност између почетка и краја недеље очекивана за први ред у табели, хајдемо сада да проверимо да ли то важи за целу табелу. Сетимо се, у оквиру *pandas* библиотеке можемо одузимати колоне, елемент по елемент, тј. позивањем ```grip_rs['EDATE'] - grip_rs['SDATE']``` добијамо нову колону чији су елементи у сваком реду настали одузимањем елемената у истом реду полазних колона:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     6 days\n",
       "1     6 days\n",
       "2     6 days\n",
       "3     6 days\n",
       "4     6 days\n",
       "5     6 days\n",
       "6     6 days\n",
       "7     6 days\n",
       "8     6 days\n",
       "9     6 days\n",
       "10    6 days\n",
       "11    6 days\n",
       "12    6 days\n",
       "13    6 days\n",
       "14    6 days\n",
       "15    6 days\n",
       "16    6 days\n",
       "17    6 days\n",
       "18    6 days\n",
       "19    6 days\n",
       "20    6 days\n",
       "21    6 days\n",
       "22    6 days\n",
       "23    6 days\n",
       "24    6 days\n",
       "25    6 days\n",
       "26    6 days\n",
       "27    6 days\n",
       "28    6 days\n",
       "29    6 days\n",
       "       ...  \n",
       "678   6 days\n",
       "679   6 days\n",
       "680   6 days\n",
       "681   6 days\n",
       "682   6 days\n",
       "683   6 days\n",
       "684   6 days\n",
       "685   6 days\n",
       "686   6 days\n",
       "687   6 days\n",
       "688   6 days\n",
       "689   6 days\n",
       "690   6 days\n",
       "691   6 days\n",
       "692   6 days\n",
       "693   6 days\n",
       "694   6 days\n",
       "695   6 days\n",
       "696   6 days\n",
       "697   6 days\n",
       "698   6 days\n",
       "699   6 days\n",
       "700   6 days\n",
       "701   6 days\n",
       "702   6 days\n",
       "703   6 days\n",
       "704   6 days\n",
       "705   6 days\n",
       "706   6 days\n",
       "707   6 days\n",
       "Length: 708, dtype: timedelta64[ns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs['EDATE'] - grip_rs['SDATE']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Да бисмо се уверили да у овој колони од 708 елемената (чији је приказ изнад скраћен) не постоји ред у коме је број дана различит од 6, издвојићемо само дане [**days**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dt.days.html) и погледаћемо само јединствене елементе у колони [**unique**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.unique.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([6], dtype=int64)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(grip_rs['EDATE'] - grip_rs['SDATE']).dt.days.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Како се табла *grip_rs* односи само на Србију, прве три колоне су увек исте садржине (проверите!), па ћемо их избацити функцијом [**drop**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.drop.html), уз колону о крајњем датуму недеље:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "grip_rs = grip_rs.drop(columns=['Country','WHOREGION','FLUREGION','EDATE'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>SDATE</th>\n",
       "      <th>SPEC_RECEIVED_NB</th>\n",
       "      <th>SPEC_PROCESSED_NB</th>\n",
       "      <th>AH1</th>\n",
       "      <th>AH1N12009</th>\n",
       "      <th>AH3</th>\n",
       "      <th>AH5</th>\n",
       "      <th>ANOTSUBTYPED</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>BYAMAGATA</th>\n",
       "      <th>BVICTORIA</th>\n",
       "      <th>BNOTDETERMINED</th>\n",
       "      <th>INF_B</th>\n",
       "      <th>ALL_INF</th>\n",
       "      <th>ALL_INF2</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007</td>\n",
       "      <td>1</td>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No Activity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>2007-01-08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sporadic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Week      SDATE  SPEC_RECEIVED_NB  SPEC_PROCESSED_NB  AH1  AH1N12009  \\\n",
       "0  2007     1 2007-01-01               NaN                4.0  0.0        NaN   \n",
       "1  2007     2 2007-01-08               NaN                8.0  3.0        NaN   \n",
       "\n",
       "   AH3  AH5  ANOTSUBTYPED  INF_A  BYAMAGATA  BVICTORIA  BNOTDETERMINED  INF_B  \\\n",
       "0  0.0  NaN           0.0    0.0        NaN        NaN             NaN    NaN   \n",
       "1  1.0  NaN           0.0    4.0        NaN        NaN             NaN    NaN   \n",
       "\n",
       "   ALL_INF  ALL_INF2        TITLE  \n",
       "0      0.0       NaN  No Activity  \n",
       "1      4.0       NaN     Sporadic  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grip_rs.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Предност трансформисања података о почетку недеље у временске одреднице постаће већ сад видљива зато што ту колону сада можемо директно проследити у функцију за цртање графика и х оса ће бити адекватно обележена подеоцима који одговарају датумима (пробајте поново да учитате податке и без трансформације нацртате исто, исход ће бити другачији):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,3))\n",
    "plt.plot(grip_rs['SDATE'], grip_rs['INF_A'], label='virus tipa A',linewidth=3)\n",
    "#sns.lineplot(grip_rs['SDATE'], grip_rs['INF_A'], label='virus tipa A',linewidth=3)\n",
    "plt.plot(grip_rs['SDATE'], grip_rs['INF_B'], label='virus tipa B',linewidth=3)\n",
    "#sns.lineplot(grip_rs['SDATE'], grip_rs['INF_B'], label='virus tipa B',linewidth=3)\n",
    "\n",
    "plt.legend()\n",
    "plt.xlabel('Datum')\n",
    "plt.ylabel('Broj uzoraka')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Већ на овом графику уочавамо да линије нису повезане зато што немамо податке за све недеље, што објашњава разлику између броја елемената у колонама *SDATE* и *INF_A* или *INF_B*.\n",
    "\n",
    "Линије кода које су коментарисане приказују другу функцију често коришћену за цртање линијских дијаграма, испробајте и њу. Шта примећујете? Позабавићемо се третманом недостајаћих података касније у овој свесци."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У оквиру [**plot**](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html) функције смо дефинисали и дебљину линије уз помоћ аргумента *linewidth* и свакој од линија доделили назив уз помоћ *label* што омогућава одговарајуће цртање легенде позивањем функције [**legend**](https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.legend.html)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видимо да су у неким периодима оба типа вируса присутна (нпр. 2013. година), некада доминира вирус типа Б (2018. година), а некада је значајно присутнији тип А (2019. година). У наставку ћемо погледати мало ближе период од последњих 5 година селектујући само оне податке из табеле у којима је вредност године ```grip_rs['SDATE'].dt.year``` 2015 и више:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "poslednjih5god = grip_rs[grip_rs['SDATE'].dt.year>=2015].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "График ћемо нацртати на сличан начин:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,4))\n",
    "plt.plot(poslednjih5god['SDATE'], poslednjih5god['INF_A'], marker='o', label='virus tipa A')\n",
    "plt.plot(poslednjih5god['SDATE'], poslednjih5god['INF_B'], marker='o', label='virus tipa B')\n",
    "plt.legend()\n",
    "plt.xlabel('Datum')\n",
    "plt.ylabel('Broj uzoraka')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Овде смо искористили опцију *marker* да обезбедимо да су јасно назначене вредности из табеле одговарајућим маркерима, у овом случају круговима. Обратите пажњу да маркери не постоје дуж целог посматраног времена. То је зато што за неке недеље не постоји бројна вредност у табели (што смо приметили и исрекиданошћу линије на претходном графику)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На графику који следи, исти подаци су приказани у фомату који је присутнији на сајту Светске здравствене организације, тј. стубичастим дијаграмом (сваки стубић одговара једној недељи), а стубићи за два типа вируса се настављају један на други, тј. очитавање на у оси највиших стубића говори нам о броју узорака са оба типа вируса (нпр током 2016. или 2018. године када су присутна оба типа вируса)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,3))\n",
    "plt.bar(poslednjih5god['SDATE'], poslednjih5god['INF_A'], width=5, label='virus tipa A')\n",
    "plt.bar(poslednjih5god['SDATE'], poslednjih5god['INF_B'], bottom=poslednjih5god['INF_A'], width=5, label='virus tipa B')\n",
    "plt.legend()\n",
    "plt.xlabel('Datum')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Стубичасти дијаграми који се настављају један на други су значајно бољи ако је циљ визуализације да представи пре свега укупан број детектованих узорака (без обзира на тип) и да проценимо периоде доминације једног односно другог вируса. Ако пак желимо да директније имамо увид у бројеве појединачних података, онда је стубичасти дијаграм са упоредно постављеним стубићима или линијски плот као на слици изнад лакши за сналажење."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Са претходних графика се чини да постоје понављања када су у питању моменти када број заражених крене да расте, погледајмо то детљније тако што ћемо све године ставити на један график у виду више линија које иду од 1. јануара до краја године. Пре цртања, увешћемо нову колону у којој ћемо избројати колико дана је протекло од 1. јануара до тада, то радимо функцијом [**dayofyear**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.dt.dayofyear.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "grip_rs['time_of_year']=grip_rs['SDATE'].dt.dayofyear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,4))\n",
    "plt.subplot(1,3,1)\n",
    "sns.lineplot(grip_rs['time_of_year'], grip_rs['ALL_INF'],hue=grip_rs['Year'])\n",
    "plt.subplot(1,3,2)\n",
    "sns.lineplot(grip_rs['time_of_year'], grip_rs['INF_A'],hue=grip_rs['Year'])\n",
    "plt.subplot(1,3,3)\n",
    "sns.lineplot(grip_rs['time_of_year'], grip_rs['INF_B'],hue=grip_rs['Year'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На првом графику с лева видимо укупан број инфицираних узорака, где линије различитих нијанси одговарају различитим годинама (граничне године дате су у легенди као водиља). На другом и трећем графику су узорци заражени вирусом типа А и Б, редом.\n",
    "Иако доста грубо, ови графици нам приказују постојање сезоналности у појавама грипа, бар у Србији. Видимо да се током целог посматраног периода од 13 година, грип типа А јавио само једном током летњих месеци, док су оба типа активна током прва три месеца године и последњег месеца у години."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Линијски плот [**lineplot**](https://seaborn.pydata.org/generated/seaborn.lineplot.html) у оквиру *seaborn* библиотеке нам нуди и опцију да усредњи податке за нас када за исте вредности х осе постоји више вредности у координате. Ако погледамо претходне податке на нивоу недеља (које се понављају у информацијама за сваку годину у распону од 1 до 53), усредњени трендови раста узорака са детектована оба типа грипа налазе се у наставку:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x='Week',y='INF_A',data=grip_rs,label='virus tipa A',ci=90)\n",
    "sns.lineplot(x='Week',y='INF_B',data=grip_rs,label='virus tipa B',ci=90)\n",
    "plt.xlabel('Redni broj nedelje u godini')\n",
    "plt.ylabel('Broj uzoraka')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Подебљана линија у средини ових обојених региона, одговара просечној вредности броја детектовани узорака за одговарајућу редну недељу у години. Означени региони светлијим нијансама исте боје означавају интервал вредности по у оси у оквиру кога се налази 90% измерених вредности у временском периоду који посматрамо. Проценат вредности које на овај начин желимо да означимо контролишемо аргументом *ci*, истражите како се дијаграм мења када мењате ове вредности.\n",
    "\n",
    "Поређења ради, на следећем графику су линијски плот просечне вредности узоратака типа А за сваку недељу представљени поред тачкастих вредности за све године. Коментарисане су линије кода које приказују исто за вирус типа Б, истражите и то!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Broj uzoraka')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(x='Week',y='INF_A',data=grip_rs,label='virus tipa A',ci=90)\n",
    "sns.scatterplot(x='Week',y='INF_A',data=grip_rs,alpha =0.5)\n",
    "# sns.lineplot(x='Week',y='INF_B',data=grip_rs,label='virus tipa B',ci=90)\n",
    "# sns.scatterplot(x='Week',y='INF_B',data=grip_rs,alpha =0.5)\n",
    "plt.xlabel('Redni broj nedelje u godini')\n",
    "plt.ylabel('Broj uzoraka')\n",
    "# plt.ylim([-5,160])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Слично, користећи функцију [**hist**](https://matplotlib.org/3.2.2/api/_as_gen/matplotlib.pyplot.hist.html) можемо избројати колико се пута свака од недеља у току године нашла у сезони грипа (постоји бар 1 узорак забележен у колони свих инфицираних, енг. *ALL_INF*):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(grip_rs[grip_rs['ALL_INF']>0]['Week'], bins=range(1,54))\n",
    "plt.xlabel('Redni broj nedelje u godini')\n",
    "plt.ylabel('Koliko puta je detektovan grip u toku te nedelje?')\n",
    "plt.axhline(y=7,color='red',linestyle='dashed')\n",
    "\n",
    "plt.axvline(x=(31+28+21)/7,color='black',linestyle='dashed')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Како су претходни подаци у распону од 14 година (од 2007 до 2020), црвеном хоризонталном линијом означили смо половину. Видимо да су последња недеља у години, и готово првих 20 недеља у преко 50% посматраних година биле захваћене сезоном грипа. (Црна испрекидана линија означава почетак пролећа.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## у Европи"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На досада већ увежбан начин учитавамо податке и проверавамо прва два реда:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>WHOREGION</th>\n",
       "      <th>FLUREGION</th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>SDATE</th>\n",
       "      <th>EDATE</th>\n",
       "      <th>SPEC_RECEIVED_NB</th>\n",
       "      <th>SPEC_PROCESSED_NB</th>\n",
       "      <th>AH1</th>\n",
       "      <th>...</th>\n",
       "      <th>AH5</th>\n",
       "      <th>ANOTSUBTYPED</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>BYAMAGATA</th>\n",
       "      <th>BVICTORIA</th>\n",
       "      <th>BNOTDETERMINED</th>\n",
       "      <th>INF_B</th>\n",
       "      <th>ALL_INF</th>\n",
       "      <th>ALL_INF2</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>2</td>\n",
       "      <td>08/01/2007</td>\n",
       "      <td>14/01/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Sporadic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Belarus</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>2007</td>\n",
       "      <td>7</td>\n",
       "      <td>12/02/2007</td>\n",
       "      <td>18/02/2007</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Local Outbreak</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Country               WHOREGION       FLUREGION  Year  Week       SDATE  \\\n",
       "0  Belarus  European Region of WHO  Eastern Europe  2007     2  08/01/2007   \n",
       "1  Belarus  European Region of WHO  Eastern Europe  2007     7  12/02/2007   \n",
       "\n",
       "        EDATE  SPEC_RECEIVED_NB  SPEC_PROCESSED_NB  AH1  ...  AH5  \\\n",
       "0  14/01/2007               NaN                0.0  0.0  ...  NaN   \n",
       "1  18/02/2007               NaN               20.0  0.0  ...  NaN   \n",
       "\n",
       "   ANOTSUBTYPED  INF_A  BYAMAGATA  BVICTORIA  BNOTDETERMINED  INF_B  ALL_INF  \\\n",
       "0           0.0    0.0        NaN        NaN             0.0    0.0      0.0   \n",
       "1           0.0    0.0        NaN        NaN             0.0    0.0      0.0   \n",
       "\n",
       "   ALL_INF2           TITLE  \n",
       "0       NaN        Sporadic  \n",
       "1       NaN  Local Outbreak  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eurodata = pd.read_csv('data/grip data/Europe_Flu_WHO_27072020.csv')\n",
    "eurodata.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Хајде да видимо сада шта се налази у претходно брисаним колонама о регионима *WHOREGION* и *FLUREGION*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['European Region of WHO'], dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eurodata.WHOREGION.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Као што смо очекивали обзиром да смо преузимали Европске податке *WHOREGION* има само једну вредност - Европа. А шта се налази у колони *FLUREGION*?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Eastern Europe', 'South West Europe', 'Northern Europe',\n",
       "       'Western Asia', 'Central Asia'], dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eurodata.FLUREGION.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ова колона садржи и неке регионе који су ван Европе, хајде да видим које земље су у тим регионима, нпр. у Централној Азији:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Kazakhstan', 'Kyrgyzstan', 'Uzbekistan', 'Tajikistan',\n",
       "       'Turkmenistan'], dtype=object)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "eurodata[eurodata.FLUREGION=='Central Asia'].Country.unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Светска здравствена организација идентификује различите регионе ширења грипа, ти региони са земљама које се налазе у њима излистани су [овде](https://www.who.int/influenza/surveillance_monitoring/updates/Influenza_Transmission_Zones.pdf?ua=1) и то су подаци које видимо у колони *FLUREGION*."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Слично као и у случају података за Србију, неопходно је да податак о почетку недеље пребацимо у одговоарајући формат да би нам даља анализа била лакша:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "eurodata['SDATE'] = pd.to_datetime(eurodata['SDATE'], format=\"%d/%m/%Y\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можемо за почетак видети који је укупан број узорака оба типа вируса забалежен у FluNet бази у посматраном периоду. То ћемо урадити тако што ћемо груписати податке по почетном датуму ('SDATE') функцијом [**groupby**](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.groupby.html) и одабрати да сумирамо све податке за вирус типа А и типа Б. Дакле независно од државе и регије, сви узорци за исту недељу сумирани су и нацртани на наредном дијаграму:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "eurodata.groupby(['SDATE'])['INF_A','INF_B'].sum().plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Овде смо и демонстрирали да се табеле могу нацртати и коришћењем [**plot**](https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.DataFrame.plot.html) у оквиру *pandas* библиотеке - пробајте да исти график нацртате као и до сада користећи **plt.plot()** шта је другачије?\n",
    "(dataframe.plot() је базирана на истој функцији *matplotlib* библиотеке, али су неке опције аутоматски подешене у складу са табелом коју цртамо)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видимо да за 2019. годину у једној недељи има и преко 25000 заражених узорака типа А, и осим у случају 2018. године, увек има више узорака заражених типом А, него типом Б (упоредите плаву и наранџасту линију на графику)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Даље, користећи груписање по недељи и региону, можемо сачувати одговарајуће податке у нову табелу коју ћемо користити да нацртамо аналогне графике за појединачне регионе."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>SDATE</th>\n",
       "      <th>FLUREGION</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>INF_B</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>Eastern Europe</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2007-01-01</td>\n",
       "      <td>Northern Europe</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       SDATE        FLUREGION  INF_A  INF_B\n",
       "0 2007-01-01   Eastern Europe   10.0    1.0\n",
       "1 2007-01-01  Northern Europe   72.0    0.0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "euroregions = pd.DataFrame(eurodata.groupby(['SDATE','FLUREGION'])['INF_A','INF_B'].sum()).reset_index()\n",
    "euroregions.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "За потребе графика у наставку називе различитих региона из колоне *FLUREGION* ћемо сачувати у новој листи:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Eastern Europe'"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regions = euroregions.FLUREGION.unique()\n",
    "regions[0] # излиставамо први елемент да проверимо његов садржај"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Фокусираћемо се у наставку на информације само у последњих 10 година, на већ извежбан начин: \n",
    "(Одлука да смањимо посматрани период није неопходна, можете одабрати било који период)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "euroregions = euroregions[euroregions.SDATE.dt.year>=2011]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Из ове подгрупе података можемо нацртати један график на пример за источну Европу:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,3))\n",
    "plotdata=euroregions[euroregions['FLUREGION']=='Eastern Europe']\n",
    "plt.plot(plotdata['SDATE'],plotdata['INF_A'],label='INF_A')\n",
    "plt.plot(plotdata['SDATE'],plotdata['INF_B'],label='INF_A')\n",
    "plt.legend()\n",
    "plt.title('Eastern Europe')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Овде јасно учавамо да се грип понавља у сличним периодима, као и да је вирус типа А доминантнији. Да проверимо да ли су ови закључци слични и у осталим регионима, ових пар линја кода убацити у једну петљу којом ћемо проћи кроз све доступне регионе и нацртати одговарајуће графике које ћемо лакше упоредити:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "for i in range(len(regions)):\n",
    "    plt.subplot(5,1,i+1)\n",
    "    plotdata=euroregions[euroregions['FLUREGION']==regions[i]]\n",
    "    plt.plot(plotdata['SDATE'],plotdata['INF_A'],label='INF_A')\n",
    "    plt.plot(plotdata['SDATE'],plotdata['INF_B'],label='INF_A')\n",
    "    plt.legend()\n",
    "    plt.ylabel(regions[i])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Када су нам подаци овако графички излистани, лакше их можемо упоредити и приметити сличности и разлике. Видимо да су сви региони имали највише случајева грипа у 2016 или 2019 години. Будите опрезни и приметите да је број узорака коме одговарају ови највећи пикови различит за различите регионе - и преко 10 000 у северној и југозападној Европи, а испод 200 у оном делу централне Азије који се налази у посматраном сету података.\n",
    "Као што смо приметили у агрегираним подацима за целу Европу, једина година у којој је вирус В доминантан је 2018, а асда видимо да није једнако доминантан у свим регионима, већ посебно у северној и југозападној Европи."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Као и у анализи података за Србију, и у овом случају, поред плотова у којима гледамо бројно стање за 10 година уназад, можемо погледати и просечне податке из недеље у недељу са циљем да проверимо да ли се периоди са повећаним бројем детектованих грипозних стања разликују у овим различитим регијама. То ћемо опет урадити у оквиру for петље за све регионе заједно:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,10))\n",
    "for i in range(len(regions)):\n",
    "    plt.subplot(5,1,i+1)\n",
    "    sns.lineplot(x='Week',y='INF_A',data=eurodata[eurodata['FLUREGION']==regions[i]],ci=90,label='INF_A')\n",
    "    sns.lineplot(x='Week',y='INF_B',data=eurodata[eurodata['FLUREGION']==regions[i]],ci=90,label='INF_B')\n",
    "    plt.legend()\n",
    "    plt.ylabel(regions[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сад јасно видимо да позиција максималног броја заражених грипом није иста у различитим регионима (видите на пример позицију максимума на плавој линији у западној Азији и северној Европи). Такође видимо да у неким регионима сезона грипа траје дуже (упоредите на пример када се плава линија спушта до нуле у југозападној и истрочној Европи).\n",
    "\n",
    "Хајде да још екстремније тестирамо ово запажање да географски регион утиче на време сезоне грипа. Учитаћемо још један сет података којим се нећемо пуно бавити већ ћемо само поновити претходне кораке (учитавање, форматирање датума, груписање и цртање просечног линијског дијаграма) и упоредити добијени график са досада анализираним:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,2))\n",
    "juznaamerika = pd.read_csv('data/grip data/Temperate_South_America_Flu_WHO_24072020.csv')\n",
    "juznaamerika['SDATE'] = pd.to_datetime(juznaamerika['SDATE'], format=\"%d/%m/%Y\")\n",
    "juznaamerika_group = pd.DataFrame(juznaamerika.groupby(['Week','SDATE'])['INF_A','INF_B'].sum()).reset_index()\n",
    "sns.lineplot(x='Week',y='INF_A',data=juznaamerika_group,ci=90)\n",
    "sns.lineplot(x='Week',y='INF_B',data=juznaamerika_group,ci=90)\n",
    "plt.title('Temperate South America')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Као што сте можда претпоставили, график на коме је назначена сезона грипа у Јужној Америци значајно се разликује од графика за Србију или регионе у близини које смо разматрали - сезона грипа је око 20-30 недеље, односно током нашег лета, али и јужноамеричке зиме. Овај податак иде у прилог чињеници да до ширења грипа долази углавном током зимских месеци (када год се они одвијају у локалној географској средини)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## у Србији и суседним земљама"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У наставку ћемо додатно испитати земље у суседству, са циљем да проверимо да ли смо са неком од суседних земаља посебно усклађени у смислу избијања и замирања сезона грипа. \n",
    "За почетакм у листи *rs_susedi* набројали смо све земље са којима се Србија граничи:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "rs_susedi = ['Albania','Bosnia and Herzegovina','Croatia','Montenegro','North Macedonia','Serbia', 'Bulgaria','Hungary','Romania']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На основу ове листе, можемо направити селекцију у оквиру Европских података. \n",
    "Услов ``` eurodata['Country'].isin(rs_susedi)]``` ће бити испуњен кад год је у датом реду земља једна од земаља у датој листи, стога тако можемо селектовати подскуп табеле који ће садржати само земље из листе *rs_susedi*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "susedi_df = eurodata[eurodata['Country'].isin(rs_susedi)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можемо проверити да ли број различитих земаља у листи *rs_susedi* одговара броју јединствених елемената у колони са земљама наше нове табеле:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(rs_susedi)==len(susedi_df.Country.unique())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У наставку су линијски плотови за вирусe типа А и Б, за сваку од издвојених земаља:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1440 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,20))\n",
    "for i in range(len(rs_susedi)):\n",
    "    plt.subplot(len(rs_susedi),1,i+1)\n",
    "    sns.lineplot(data=susedi_df[(susedi_df['Country']==rs_susedi[i])], x='SDATE',y=\"INF_A\",marker='.')\n",
    "    sns.lineplot(data=susedi_df[(susedi_df['Country']==rs_susedi[i])], x='SDATE',y=\"INF_B\",marker='.')\n",
    "    plt.ylabel(rs_susedi[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видимо да не постоје за све земље подједнако детаљни подаци. Специјално, чини се као да је у БиХ престало извештавање у неком тренутку, тако да ћемо те податке избацизи из даљег разматрања. Такође видимо да за неке земље прикупљање података починње тек од 2016 године, стога ћемо све посматрати за период од 2016. до 2020. године."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>WHOREGION</th>\n",
       "      <th>FLUREGION</th>\n",
       "      <th>Year</th>\n",
       "      <th>Week</th>\n",
       "      <th>SDATE</th>\n",
       "      <th>EDATE</th>\n",
       "      <th>SPEC_RECEIVED_NB</th>\n",
       "      <th>SPEC_PROCESSED_NB</th>\n",
       "      <th>AH1</th>\n",
       "      <th>...</th>\n",
       "      <th>AH5</th>\n",
       "      <th>ANOTSUBTYPED</th>\n",
       "      <th>INF_A</th>\n",
       "      <th>BYAMAGATA</th>\n",
       "      <th>BVICTORIA</th>\n",
       "      <th>BNOTDETERMINED</th>\n",
       "      <th>INF_B</th>\n",
       "      <th>ALL_INF</th>\n",
       "      <th>ALL_INF2</th>\n",
       "      <th>TITLE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14994</th>\n",
       "      <td>Albania</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2016</td>\n",
       "      <td>1</td>\n",
       "      <td>2016-01-04</td>\n",
       "      <td>10/01/2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No Report</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14995</th>\n",
       "      <td>Albania</td>\n",
       "      <td>European Region of WHO</td>\n",
       "      <td>South West Europe</td>\n",
       "      <td>2016</td>\n",
       "      <td>2</td>\n",
       "      <td>2016-01-11</td>\n",
       "      <td>17/01/2016</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No Report</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Country               WHOREGION          FLUREGION  Year  Week  \\\n",
       "14994  Albania  European Region of WHO  South West Europe  2016     1   \n",
       "14995  Albania  European Region of WHO  South West Europe  2016     2   \n",
       "\n",
       "           SDATE       EDATE  SPEC_RECEIVED_NB  SPEC_PROCESSED_NB  AH1  ...  \\\n",
       "14994 2016-01-04  10/01/2016               NaN                2.0  0.0  ...   \n",
       "14995 2016-01-11  17/01/2016               NaN               29.0  0.0  ...   \n",
       "\n",
       "       AH5  ANOTSUBTYPED  INF_A  BYAMAGATA  BVICTORIA  BNOTDETERMINED  INF_B  \\\n",
       "14994  NaN           0.0    0.0        0.0        0.0             0.0    0.0   \n",
       "14995  NaN           0.0    3.0        0.0        1.0             0.0    1.0   \n",
       "\n",
       "       ALL_INF  ALL_INF2      TITLE  \n",
       "14994      0.0       NaN  No Report  \n",
       "14995      4.0       NaN  No Report  \n",
       "\n",
       "[2 rows x 22 columns]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rs_susedi = ['Albania','Croatia','Montenegro','North Macedonia','Serbia', 'Bulgaria','Hungary','Romania']\n",
    "susedi_df = eurodata[eurodata['Country'].isin(rs_susedi)]\n",
    "susedi_df = susedi_df[(susedi_df.SDATE.dt.year>=2016)]\n",
    "susedi_df.head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Поновите цртање претходног низа графика за ову табелу, сада ће х оса бити иста па ћете лакше уочити да ли је у различитим земљама иста година била критична и слично.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "У наставку желимо да проверимо да ли постоје везе између проаста броја облелих од грипа у овим земљама. \n",
    "Направићемо посебну табелу на основу држава суседа у којој су подаци груписани по држави и датуму, за почетак само за вирус типа А:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>INF_A</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>SDATE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">Albania</th>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>0.0</td>\n",
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       "      <th>2016-01-11</th>\n",
       "      <td>3.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-18</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25</th>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01</th>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                    INF_A\n",
       "Country SDATE            \n",
       "Albania 2016-01-04    0.0\n",
       "        2016-01-11    3.0\n",
       "        2016-01-18   16.0\n",
       "        2016-01-25    6.0\n",
       "        2016-02-01   26.0"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA = pd.DataFrame(susedi_df.groupby(['Country','SDATE'])['INF_A'].sum())\n",
    "infA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ова дугачка табела има два индекса (име државе и датум) и једну колону са нама значајним подацима - број узорака заражених вирусом типа А. Трансформисаћемо ову табелу тако да има смао један индекс - датуме, а различите државе ће постати нове колоне у којима се налазе подаци за вирус типа А. То можемо урадити функцијом [**unstack**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.unstack.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">INF_A</th>\n",
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       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Bulgaria</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>Hungary</th>\n",
       "      <th>Montenegro</th>\n",
       "      <th>North Macedonia</th>\n",
       "      <th>Romania</th>\n",
       "      <th>Serbia</th>\n",
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       "    <tr>\n",
       "      <th>SDATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>2016-01-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-18</th>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25</th>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01</th>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             INF_A                                                      \\\n",
       "Country    Albania Bulgaria Croatia Hungary Montenegro North Macedonia   \n",
       "SDATE                                                                    \n",
       "2016-01-04     0.0      2.0     7.0     0.0        NaN             0.0   \n",
       "2016-01-11     3.0      4.0    31.0    76.0        1.0             0.0   \n",
       "2016-01-18    16.0     12.0    54.0     2.0        0.0             0.0   \n",
       "2016-01-25     6.0     16.0    44.0     5.0        3.0             1.0   \n",
       "2016-02-01    26.0     31.0    85.0     3.0        3.0             4.0   \n",
       "\n",
       "                           \n",
       "Country    Romania Serbia  \n",
       "SDATE                      \n",
       "2016-01-04     6.0    3.0  \n",
       "2016-01-11    11.0    5.0  \n",
       "2016-01-18    42.0   15.0  \n",
       "2016-01-25   129.0   10.0  \n",
       "2016-02-01   234.0   23.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA = infA.unstack(0)\n",
    "infA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Мешутим, овом трансформацијом, добили смо имена колона у више нивоа, проверимо то:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MultiIndex(levels=[['INF_A'], ['Albania', 'Bulgaria', 'Croatia', 'Hungary', 'Montenegro', 'North Macedonia', 'Romania', 'Serbia']],\n",
       "           codes=[[0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 2, 3, 4, 5, 6, 7]],\n",
       "           names=[None, 'Country'])"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "То значи да не можемо једноставно позивањем само ```infA['Serbia']``` добити листу података за Србију како смо желели (пробајте!). Да то решимо, променићемо имена колонама на следећи начин:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Bulgaria</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>Hungary</th>\n",
       "      <th>Montenegro</th>\n",
       "      <th>North Macedonia</th>\n",
       "      <th>Romania</th>\n",
       "      <th>Serbia</th>\n",
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       "    <tr>\n",
       "      <th>SDATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <td>0.0</td>\n",
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       "      <th>2016-01-11</th>\n",
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       "      <td>76.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-18</th>\n",
       "      <td>16.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-25</th>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-02-01</th>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country     Albania  Bulgaria  Croatia  Hungary  Montenegro  North Macedonia  \\\n",
       "SDATE                                                                          \n",
       "2016-01-04      0.0       2.0      7.0      0.0         NaN              0.0   \n",
       "2016-01-11      3.0       4.0     31.0     76.0         1.0              0.0   \n",
       "2016-01-18     16.0      12.0     54.0      2.0         0.0              0.0   \n",
       "2016-01-25      6.0      16.0     44.0      5.0         3.0              1.0   \n",
       "2016-02-01     26.0      31.0     85.0      3.0         3.0              4.0   \n",
       "\n",
       "Country     Romania  Serbia  \n",
       "SDATE                        \n",
       "2016-01-04      6.0     3.0  \n",
       "2016-01-11     11.0     5.0  \n",
       "2016-01-18     42.0    15.0  \n",
       "2016-01-25    129.0    10.0  \n",
       "2016-02-01    234.0    23.0  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA.columns = infA.columns.get_level_values(1)\n",
    "infA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Да заобиђемо могуће компликације када у табели недостају бројеви (NaN), попунићемо одговарајуће ћелије. Рад са недостајућим вредностима је врло често део сређивања и обраде података (зато што често функције не могу да баратају са низовима који садрже NaN) тако да је битно да бар на кратко продискутујемо пар типичних стратегија. Најчешћи начин да приступите недостајућим подацима је - да обришете све редове који немају потпуне податке (у овом случају све недеље за које нека од држава није послала податке), или да избегнемо губљење драгоцених података у другим колонама - да попуните празне ћелије. Додавање вредности је потребно радити доста пажљиво и посебно у случају доношења закључака на основу података треба бити сигуран да закључци нису последица тих додатих вредности. Најчешће се нове вредности додају или на основу разумне претпоставке о подацима или се додају насумични бројеви тако да одговарају дистрибуцији бројева у остатку табеле. Овде ћемо направити једну (надамо се) разумну претпоставку да су NaN вредности последица недостајућег извештаја који земље нису доставиле зато што тада није било случајева заражених грипом. Стога ћемо заменити NaN ћелије у табели са 0, то једноставно можемо урадити користећи функцију [**fillna**](https://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <td>15.0</td>\n",
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       "      <th>2016-01-25</th>\n",
       "      <td>6.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>10.0</td>\n",
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       "      <th>2016-02-01</th>\n",
       "      <td>26.0</td>\n",
       "      <td>31.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
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      ],
      "text/plain": [
       "Country     Albania  Bulgaria  Croatia  Hungary  Montenegro  North Macedonia  \\\n",
       "SDATE                                                                          \n",
       "2016-01-04      0.0       2.0      7.0      0.0         0.0              0.0   \n",
       "2016-01-11      3.0       4.0     31.0     76.0         1.0              0.0   \n",
       "2016-01-18     16.0      12.0     54.0      2.0         0.0              0.0   \n",
       "2016-01-25      6.0      16.0     44.0      5.0         3.0              1.0   \n",
       "2016-02-01     26.0      31.0     85.0      3.0         3.0              4.0   \n",
       "\n",
       "Country     Romania  Serbia  \n",
       "SDATE                        \n",
       "2016-01-04      6.0     3.0  \n",
       "2016-01-11     11.0     5.0  \n",
       "2016-01-18     42.0    15.0  \n",
       "2016-01-25    129.0    10.0  \n",
       "2016-02-01    234.0    23.0  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA = infA.fillna(0)\n",
    "infA.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Са овом, сређенијом табелом, још је лакше цртати податке за било коју земљу ```infA[columnname].plot()```:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Овде на пример поредимо ситуацију у Србији и Бугарској:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,2))\n",
    "infA['Serbia'].plot(label='Serbia')\n",
    "infA['Bulgaria'].plot(label='Bulgaria')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Корелације"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "До сада смо поређења међу земљама и закључке о сличностима и разликама доносили на основу посматрања графика (на пример да ли су висине максимума и позиције исте). Међутим уочавање потенцијалне зависности између броја заражених у две земље може се оценити и квантитативно. \n",
    "Једна згодна мера за оцену зависности међу две варијабле (у овом случају да ли је пораст броја заражених грипом у једној земљи праћен сличним порастом у другој) је корелација.\n",
    "Корелација у случају временских серија какве посматрамо нам говори о томе да ли су трендови пораста и опадања синхронизовани и у којој мери. На пример, два низа назависно генерисаних насумичних бројева имају корелацију 0, тј. пораст и опадање вредности у једном није у вези са другим низом. Знак корелације може бити позитиван (за варијабле код којих је пораст и опадање усклађено и у истом смеру, тј. пораст једне вредности праћен је порастом друге вредности) и негативан (када је пораст једне вредности праћен падом друге вредности).\n",
    "Коефицијен корелације постоји имплементиран у pandas библиотеци кроз функцију [**corr**](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.corr.html):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country</th>\n",
       "      <th>Bulgaria</th>\n",
       "      <th>Serbia</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Bulgaria</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.493097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serbia</th>\n",
       "      <td>0.493097</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country   Bulgaria    Serbia\n",
       "Country                     \n",
       "Bulgaria  1.000000  0.493097\n",
       "Serbia    0.493097  1.000000"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "infA[['Bulgaria','Serbia']].corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Излаз ове функције је симетрична табела - добијамо вредности корелације Србије и Бугарске и обратно иако су оне исте. Такође, увек у исходима добијамо и вредности корелације варијабле са самом собом, што је по дефиницији позитивна и максимална вредност коју корелација достиже 1."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Слично можемо поновити овај пут за све издвојене земље из окружења:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Bulgaria</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>Hungary</th>\n",
       "      <th>Montenegro</th>\n",
       "      <th>North Macedonia</th>\n",
       "      <th>Romania</th>\n",
       "      <th>Serbia</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.643657</td>\n",
       "      <td>0.699159</td>\n",
       "      <td>0.523267</td>\n",
       "      <td>0.771905</td>\n",
       "      <td>0.556544</td>\n",
       "      <td>0.733470</td>\n",
       "      <td>0.803285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bulgaria</th>\n",
       "      <td>0.643657</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.549749</td>\n",
       "      <td>0.423879</td>\n",
       "      <td>0.561262</td>\n",
       "      <td>0.290956</td>\n",
       "      <td>0.688827</td>\n",
       "      <td>0.493097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Croatia</th>\n",
       "      <td>0.699159</td>\n",
       "      <td>0.549749</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.456422</td>\n",
       "      <td>0.623969</td>\n",
       "      <td>0.478647</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>0.561384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>0.523267</td>\n",
       "      <td>0.423879</td>\n",
       "      <td>0.456422</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.549580</td>\n",
       "      <td>0.333502</td>\n",
       "      <td>0.474746</td>\n",
       "      <td>0.496825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montenegro</th>\n",
       "      <td>0.771905</td>\n",
       "      <td>0.561262</td>\n",
       "      <td>0.623969</td>\n",
       "      <td>0.549580</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.514751</td>\n",
       "      <td>0.746697</td>\n",
       "      <td>0.753964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Macedonia</th>\n",
       "      <td>0.556544</td>\n",
       "      <td>0.290956</td>\n",
       "      <td>0.478647</td>\n",
       "      <td>0.333502</td>\n",
       "      <td>0.514751</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.434236</td>\n",
       "      <td>0.753320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Romania</th>\n",
       "      <td>0.733470</td>\n",
       "      <td>0.688827</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>0.474746</td>\n",
       "      <td>0.746697</td>\n",
       "      <td>0.434236</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.615432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Serbia</th>\n",
       "      <td>0.803285</td>\n",
       "      <td>0.493097</td>\n",
       "      <td>0.561384</td>\n",
       "      <td>0.496825</td>\n",
       "      <td>0.753964</td>\n",
       "      <td>0.753320</td>\n",
       "      <td>0.615432</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country           Albania  Bulgaria   Croatia   Hungary  Montenegro  \\\n",
       "Country                                                               \n",
       "Albania          1.000000  0.643657  0.699159  0.523267    0.771905   \n",
       "Bulgaria         0.643657  1.000000  0.549749  0.423879    0.561262   \n",
       "Croatia          0.699159  0.549749  1.000000  0.456422    0.623969   \n",
       "Hungary          0.523267  0.423879  0.456422  1.000000    0.549580   \n",
       "Montenegro       0.771905  0.561262  0.623969  0.549580    1.000000   \n",
       "North Macedonia  0.556544  0.290956  0.478647  0.333502    0.514751   \n",
       "Romania          0.733470  0.688827  0.702617  0.474746    0.746697   \n",
       "Serbia           0.803285  0.493097  0.561384  0.496825    0.753964   \n",
       "\n",
       "Country          North Macedonia   Romania    Serbia  \n",
       "Country                                               \n",
       "Albania                 0.556544  0.733470  0.803285  \n",
       "Bulgaria                0.290956  0.688827  0.493097  \n",
       "Croatia                 0.478647  0.702617  0.561384  \n",
       "Hungary                 0.333502  0.474746  0.496825  \n",
       "Montenegro              0.514751  0.746697  0.753964  \n",
       "North Macedonia         1.000000  0.434236  0.753320  \n",
       "Romania                 0.434236  1.000000  0.615432  \n",
       "Serbia                  0.753320  0.615432  1.000000  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matrica_korelacija = infA.corr()\n",
    "matrica_korelacija"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Иако можемо тражити зависности прегледањем и детектовањем бројева близу 1, то није згодно у случају великих табела. Ову матрицу корелација можемо визуализовати функцијом [**matshow**](https://matplotlib.org/3.3.0/api/_as_gen/matplotlib.pyplot.matshow.html), она сваком од бројева додељује одређену нијансу боје (палету можете мењати опцијом *cmap*):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize=(10, 8))\n",
    "plt.matshow(matrica_korelacija, fignum=f.number)#, cmap='bone')\n",
    "plt.xticks(range(matrica_korelacija.shape[0]), matrica_korelacija.columns, fontsize=14, rotation=90)\n",
    "plt.yticks(range(matrica_korelacija.shape[0]), matrica_korelacija.columns, fontsize=14)\n",
    "cb = plt.colorbar()\n",
    "cb.ax.tick_params(labelsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Постоји *colorbar* са стране који нам говори да жута значи да су корелације близу 1, док тамно плаво значи 0.3. Међутим, није лако у овој шареној матрици идентификовати оне земље са којима је Србија има највећу корелацију (за то је између осталог крива и ова [оптичка илузија](https://en.wikipedia.org/wiki/Checker_shadow_illusion#/media/File:Checker_shadow_illusion.svg)). Стога ћемо преуредити листу колона/врста, тако да је прва у низу земаља (горе лево) Србија, а затим следе земље са којима је корелација све мања и мања.\n",
    "\n",
    "Издвојићемо колону вредности корелација Србије и осталих земаља и сортирати је у опадајућем редоследу:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Country\n",
       "Serbia             1.000000\n",
       "Albania            0.803285\n",
       "Montenegro         0.753964\n",
       "North Macedonia    0.753320\n",
       "Romania            0.615432\n",
       "Croatia            0.561384\n",
       "Hungary            0.496825\n",
       "Bulgaria           0.493097\n",
       "Name: Serbia, dtype: float64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "korelacije_srbije = matrica_korelacija['Serbia'].sort_values(ascending=False)\n",
    "korelacije_srbije"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Како желимо да нам се колоне и врсте у табели корелација појављују у овом редоследу, сачуваћемо индексе (називе земаља) ове табеле у низ који ће нам послужити као редослед за матрицу корелација:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Serbia', 'Albania', 'Montenegro', 'North Macedonia', 'Romania',\n",
       "       'Croatia', 'Hungary', 'Bulgaria'], dtype=object)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "redosled = korelacije_srbije.index.values\n",
    "redosled"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Добијени редослед колона и врста ћемо искористити функцијом **reindex** да променимо редослед врста, а једноставним позивањем ```matrica_korelacija[redosled]``` да променимо редослед колона. Овако претумбана матрица корелација изгледа овако:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Country</th>\n",
       "      <th>Serbia</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Montenegro</th>\n",
       "      <th>North Macedonia</th>\n",
       "      <th>Romania</th>\n",
       "      <th>Croatia</th>\n",
       "      <th>Hungary</th>\n",
       "      <th>Bulgaria</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Country</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Serbia</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.803285</td>\n",
       "      <td>0.753964</td>\n",
       "      <td>0.753320</td>\n",
       "      <td>0.615432</td>\n",
       "      <td>0.561384</td>\n",
       "      <td>0.496825</td>\n",
       "      <td>0.493097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Albania</th>\n",
       "      <td>0.803285</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.771905</td>\n",
       "      <td>0.556544</td>\n",
       "      <td>0.733470</td>\n",
       "      <td>0.699159</td>\n",
       "      <td>0.523267</td>\n",
       "      <td>0.643657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Montenegro</th>\n",
       "      <td>0.753964</td>\n",
       "      <td>0.771905</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.514751</td>\n",
       "      <td>0.746697</td>\n",
       "      <td>0.623969</td>\n",
       "      <td>0.549580</td>\n",
       "      <td>0.561262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Macedonia</th>\n",
       "      <td>0.753320</td>\n",
       "      <td>0.556544</td>\n",
       "      <td>0.514751</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.434236</td>\n",
       "      <td>0.478647</td>\n",
       "      <td>0.333502</td>\n",
       "      <td>0.290956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Romania</th>\n",
       "      <td>0.615432</td>\n",
       "      <td>0.733470</td>\n",
       "      <td>0.746697</td>\n",
       "      <td>0.434236</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>0.474746</td>\n",
       "      <td>0.688827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Croatia</th>\n",
       "      <td>0.561384</td>\n",
       "      <td>0.699159</td>\n",
       "      <td>0.623969</td>\n",
       "      <td>0.478647</td>\n",
       "      <td>0.702617</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.456422</td>\n",
       "      <td>0.549749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hungary</th>\n",
       "      <td>0.496825</td>\n",
       "      <td>0.523267</td>\n",
       "      <td>0.549580</td>\n",
       "      <td>0.333502</td>\n",
       "      <td>0.474746</td>\n",
       "      <td>0.456422</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.423879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bulgaria</th>\n",
       "      <td>0.493097</td>\n",
       "      <td>0.643657</td>\n",
       "      <td>0.561262</td>\n",
       "      <td>0.290956</td>\n",
       "      <td>0.688827</td>\n",
       "      <td>0.549749</td>\n",
       "      <td>0.423879</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Country            Serbia   Albania  Montenegro  North Macedonia   Romania  \\\n",
       "Country                                                                      \n",
       "Serbia           1.000000  0.803285    0.753964         0.753320  0.615432   \n",
       "Albania          0.803285  1.000000    0.771905         0.556544  0.733470   \n",
       "Montenegro       0.753964  0.771905    1.000000         0.514751  0.746697   \n",
       "North Macedonia  0.753320  0.556544    0.514751         1.000000  0.434236   \n",
       "Romania          0.615432  0.733470    0.746697         0.434236  1.000000   \n",
       "Croatia          0.561384  0.699159    0.623969         0.478647  0.702617   \n",
       "Hungary          0.496825  0.523267    0.549580         0.333502  0.474746   \n",
       "Bulgaria         0.493097  0.643657    0.561262         0.290956  0.688827   \n",
       "\n",
       "Country           Croatia   Hungary  Bulgaria  \n",
       "Country                                        \n",
       "Serbia           0.561384  0.496825  0.493097  \n",
       "Albania          0.699159  0.523267  0.643657  \n",
       "Montenegro       0.623969  0.549580  0.561262  \n",
       "North Macedonia  0.478647  0.333502  0.290956  \n",
       "Romania          0.702617  0.474746  0.688827  \n",
       "Croatia          1.000000  0.456422  0.549749  \n",
       "Hungary          0.456422  1.000000  0.423879  \n",
       "Bulgaria         0.549749  0.423879  1.000000  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matrica_korelacija = matrica_korelacija[redosled].reindex(redosled)\n",
    "matrica_korelacija"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сада ћемо поново ову матрицу визуализовати:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize=(10, 8))\n",
    "plt.matshow(matrica_korelacija, fignum=f.number)#, cmap='bone')\n",
    "plt.xticks(range(matrica_korelacija.shape[0]), matrica_korelacija.columns, fontsize=14, rotation=90)\n",
    "plt.yticks(range(matrica_korelacija.shape[0]), matrica_korelacija.columns, fontsize=14)\n",
    "cb = plt.colorbar()\n",
    "cb.ax.tick_params(labelsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Овако већ можемо лакше да уочимо правилности. Примећујемо да Србија, Црна Гора и Албанија имају високе корелације међусобно. Такође, примећујемо да Македонија осим са Србијом има мали коефицијент корелације са осталим земљама. Такође, примеђујемо да земље Европске уније (Бугарска, Румунија, Хрватска, Мађарска) имају мало веће корелације међусобно у односу на корелације са земљама ван ЕУ."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Иако је матрица корелација згодан начин да анализирате пуно временских серија у потрази за повезаностима, обратите пажњу да корелација не значи да постоји узрочно - последична веза (нпр. да се грип најчешће шири из Србије у Црну Гору). Велика корелација између две посматране варијабле може значити да обе зависе од неке треће, коју у том тренутку не разматрате, овде можда временски услови, или већ приказана сезоналност у подацима. Један од задатака у наставку, позива вас да истражите како се вреднсоти у овој матрици корелација мењају ако узмете у обзир сезоналност грипа."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Задаци"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. Нацртајте линијски дијаграм (попут првог у овој радној свесци) посматрајући само један тип вируса, нпр. *AH1N12009* за Србију или неку другу земљу чије податке имате у другим доступним табелама. \n",
    "Поред дебљине линије, пробајте да варирате боју или тип линије (да ли је пуна, тачкаста, итд.). Све опције функције **plot** можете истражити овде: https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2. Табеле са подацима Светске здравствене организације садрже и текстуалну колону 'TITLE'. Користећи функцију 'unique' истражите које вредности постоје у овој табели, а затим нацртајте график за Србију (или земљу по избору) на коме су тачкице које представљају број заражених узорака ('ALL_INF') током времена бити другачије обојене зависно од вредности у колони 'TITLE'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. У анализи корелација међу земљама, фокусирали смо се само на земље са којима се Србија граничи и само на анализу вируса типа А, истражи како се корелације међу земљама разликују уколико се разматра вирус типа Б или уколико се разматра укупан број заражених узорака. Слично, можеш одабрати било коју другу листу земаља или истражити како изгледа матрица корелација ако су у разматрању све земље из сета података. Специјално провери корелације између података у Србији и некој од земаља из Јужне Америке, шта примећујеш?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. (а) Као што је поменуто у опису корелација, очекујемо да трендови раста и опадања у листама насумично генерисаних бројева нису у вези те ће корелације бити 0 - провери то! (У оквиру библиотеке *numpy* можеш генерисати n униформно распоређених насумичних бројева између 0 и 1 на следећи начин ```np.random.rand(n)```)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. (б) А шта ако низови бројева нису потпуно насумични? На пример:\n",
    "```\n",
    "a = [0.5*np.sin(i)+np.random.rand() for i in range(100)]\n",
    "b = [0.5*np.sin(i)+np.random.rand()  for i in range(100)]\n",
    "```\n",
    "Нацртајте ове низове, а затим срачунајте и корелацију међу њима. Истражите како се вредности мењају ако промените коефицијент испред синуса, или ако уместо синуса искористите неку другу функцију."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. (в) Надам се да су вас претходни кораци заинтригирали у вези са претходно анализираним бројем заражених грипом и уоченим сезонским трендом у порасту и паду овог броја (који није баш синусна функција али смо приметили неку периодичност). Како бисмо проверили да ли је сезоналност грипа потенцијалан узрок високих корелација међу бројевима заражених у земљама из окружења, можемо приступити *detrendovanju* података. Уместо укупног броја заражених узорака које смо до сада анализирали посматрајмо одступање од вишегодишњег (нпр. петогодишњи) просека. За сваку од земаља које хоћете да анализирате:\n",
    "(1) израчунајте просечан број заражених за сваку недељу у петогодишњем периоду\n",
    "(2) за сваку од недеља током петогодишњег периода израчунајте колико је више (или мање) заражених у односу на петогодишњи просек за ту недељу\n",
    "(3) израчунајте корелације оваквих низова и упоредите вредности са претходно добијеним корелацијама\n",
    "Шта примећујете?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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