Covid-19 Project.ipynb

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   "source": [
    "# 1. From epidemic to pandemic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"CDC.png\" style=\"width:250px;height:250\"/>"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# In December 2019, COVID-19 coronavirus was first identified in the Wuhan region of China. By March 11, 2020, the World Health Organization (WHO) categorized the COVID-19 outbreak as a pandemic. A lot has happened in the months in between with major outbreaks in some Countries.\n",
    "\n",
    "We know that COVID-19 spreads through respiratory droplets, such as through coughing, sneezing, or speaking. But, how quickly did the virus spread across the globe? And, can we see any effect from country-wide policies, like shutdowns and quarantines?\n",
    "\n",
    "Fortunately, organizations around the world have been collecting data so that governments can monitor and learn from this pandemic. Notably, the Johns Hopkins University Center for Systems Science and Engineering created a publicly available data repository to consolidate this data from sources like the WHO, the Centers for Disease Control and Prevention (CDC), and the Ministry of Health from multiple countries.\n",
    "\n",
    "In this notebook, you will visualize COVID-19 data from the first several months of the outbreak to see at what point this virus became a global pandemic.\n",
    "\n",
    "The data used in this project was pulled on March 30, 2020, and should not be considered to be the most up to date data available."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Which countries outside of China have been hit hardest?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Top 10 Infected Countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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   "source": [
    "import folium\n",
    "map=folium.Map()\n",
    "#Top 10 Infected Countries\n",
    "countries = [\n",
    "    {'loc': [37.090240,  -95.712891], 'label': 'USA'},\n",
    "    {'loc': [-14.235004, -51.925282], 'label': 'Brazil'},\n",
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    "    {'loc': [38.9637,35.2433], 'label': 'Turkey'}]\n",
    "\n",
    "for country in countries:\n",
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Countries=[\"USA\",\"Brazil\",\"Russia\",\"Spain\",\"Uk\",\"Itly\",\"France\",\"Germany\",\"India\",\"Turkey\"]\n",
    "Cases=[1775488,438812,387623,285644,269127,232248,186238,182711,172359,160979]\n",
    "plt.title(\"Top 10 Countries Infected By Corona Virus\")\n",
    "plt.xlabel(\"Countries\")\n",
    "plt.ylabel(\"Infected [In Lakhs]\")\n",
    "plt.fill_between(Countries,Cases,0,color=\"orange\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "india=pd.read_csv(r\"C:\\Users\\HP\\Downloads\\india.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x2a789083a60>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 427.875x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.relplot(x=\"Confirmed\",y=\"State/UnionTerritory\",hue='Cured',data=india)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Let's annotate Our World!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"dr1.png\" style=\"width:800px;height:200px\"/>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total Cases In India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(r\"C:\\Users\\HP\\Downloads\\sets.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>Sno</th>\n",
       "      <th>AgeGroup</th>\n",
       "      <th>TotalCases</th>\n",
       "      <th>Percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>0-9</td>\n",
       "      <td>22</td>\n",
       "      <td>3.18%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>10-19</td>\n",
       "      <td>27</td>\n",
       "      <td>3.90%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>20-29</td>\n",
       "      <td>172</td>\n",
       "      <td>24.86%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>30-39</td>\n",
       "      <td>146</td>\n",
       "      <td>21.10%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>40-49</td>\n",
       "      <td>112</td>\n",
       "      <td>16.18%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>50-59</td>\n",
       "      <td>77</td>\n",
       "      <td>11.13%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>60-69</td>\n",
       "      <td>89</td>\n",
       "      <td>12.86%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>70-79</td>\n",
       "      <td>28</td>\n",
       "      <td>4.05%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>&gt;=80</td>\n",
       "      <td>10</td>\n",
       "      <td>1.45%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Missing</td>\n",
       "      <td>9</td>\n",
       "      <td>1.30%</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sno AgeGroup  TotalCases Percentage\n",
       "0    1      0-9          22      3.18%\n",
       "1    2    10-19          27      3.90%\n",
       "2    3    20-29         172     24.86%\n",
       "3    4    30-39         146     21.10%\n",
       "4    5    40-49         112     16.18%\n",
       "5    6    50-59          77     11.13%\n",
       "6    7    60-69          89     12.86%\n",
       "7    8    70-79          28      4.05%\n",
       "8    9     >=80          10      1.45%\n",
       "9   10  Missing           9      1.30%"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(\"AgeGroup\",\"TotalCases\",data=data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x2a78cc6ac70>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Months=[\"February\",\"March\",\"April\",\"May\"]\n",
    "total_cases=[10,1397,32213,133587]\n",
    "plt.title(\"Total Cases\")\n",
    "plt.xlabel=(\"Months\")\n",
    "plt.ylabel=(\"Total Cases\")\n",
    "plt.fill_between(Months,total_cases,0,color=\"DarkOrange\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total Recoveries in India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Months=[\"April\",\"May\"]\n",
    "Recoveries=[8373,62733]\n",
    "plt.fill_between(Months,Recoveries,0,color=\"green\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Total Deaths In India"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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eAKb2s8ls4NaI6IqITcBGYJakA4F9I2JVRARwA3DsiN+BmVW8zmc2sHPhTUSFTX04HEPq05d0KPn5cp9Ooa9Iek7SEkn7pdhUYGvBZtUpNjUt940XO85cSVWSqurr64dSRTOrMLm2dmpPOMPdOoM06KQv6e3AHcDXI6KFfFfN+4AZQA1wSW/RIptHP/E3ByMWR8TMiJg5ZcqUwVbRzCpQ/bcuIbeztdTVmDAGlfQl7UU+4d8UEXcCRMT2iMhGRA64FpiVilcDBxdsPg3YluLTisTNzIal7aePsuvex4iuypz6cDgGM3pHwPXACxHx/YL4gQXFPg08n5ZXAHMk7S3pMGA6sDoiaoBWSUenfZ4A3D1K78PMKkympp66r363Iic3H4nBjN75CHA8sE7S2hQ7AzhO0gzyXTSbgS8BRMR6ScuBDeRH/pyaRu4AnAIsBfYhP2rHI3fMbMgil6P2C2e7H38YBkz6EfEkxfvj7+tnm/nA/CLxKuDIoVTQzKyvnVfeQveG30ImO3BhewPfZdPMJpSudS/T9F8/dCt/mHwbBjObMHIdXdSeMM8JfwSc9M1swmg441KyDTtLXY0JzUnfzCaEXSt/SdsdK93KHyEnfTMre5n6Jur+/QIPzxwFTvpmVtYigu1fPIec76szKpz0zaysNV93B12/fgEymVJXZVLwkE0zK1vdL22i8YKr3a0zitzSN7OyFF3d1Bw/j+j0fXVGk5O+mZWlhnOvIlvbAFH0Zrw2TE76ZlZ22h+rovWme9ytMwac9M2srGQbm9n+xXOc8MeIk76ZlY2IYPuXLyDX1l7qqkxaTvpmVjZafnQPnauehR4PzxwrHrJpZmWh+7db2XHmQqLDF2GNpcHMnHWwpEckvSBpvaSvpfi7Ja2U9HJ63q9gm3mSNkp6SdInC+JHSVqX1i1MM2iZWYWLnkx+cvMu9+OPtcF072SA0yLivwNHA6dKOhw4HXg4IqYDD6fXpHVzgCOAY4CrJO2Z9rUImEt+CsXpab2ZVbjG71xLZmsN5Dw8c6wNmPQjoiYinknLrcALwFRgNrAsFVsGHJuWZwO3RkRXRGwCNgKz0py6+0bEqogI4IaCbcysQnWsepbm6+7waJ1xMqQTuZIOBT4EPA0ckCY7Jz2/JxWbCmwt2Kw6xaam5b7xYseZK6lKUlV9ff1QqmhmE0i2pY3az5/l2yWPo0EnfUlvB+4Avh4RLf0VLRKLfuJvDkYsjoiZETFzypQpg62imU0w9V/9Lrm2XaWuRkUZVNKXtBf5hH9TRNyZwttTlw3puS7Fq4GDCzafBmxL8WlF4mZWgVqWP0D7z1dDV0+pq1JRBjN6R8D1wAsR8f2CVSuAE9PyicDdBfE5kvaWdBj5E7arUxdQq6Sj0z5PKNjGzCpIz6s1NPzHJR6eWQKDGaf/EeB4YJ2ktSl2BrAAWC7pZOBV4DMAEbFe0nJgA/mRP6dGRDZtdwqwFNgHuD89zKyCRDZL7Ulnuh+/RAZM+hHxJMX74wE+vptt5gPzi8SrgCOHUkEzm1yaLl5Kz8atkM2VuioVyVfkmtm46XxmAzuvuMWt/BLyvXfMbFzk2trzV9064ZeUk76ZjYv6b15Errm11NWoeE76ZjbmWlc8wq77nvDUh2XASd/MxlSmpp76ry3wbRbKhJO+mY2ZyOV8m4Uy46RvZmNm5xU30/3CK5DJDlzYxoWHbJrZmOha9zJNFy91t06ZcUvfzEZdrr2T2hPmOeGXISd9Mxt1DWdcSrZhZ6mrYUU46ZvZqGp74Be03fmQT96WKSd9Mxs1mbpG6k+5wN06ZcxJ38xGRUSw/YvnkHPCL2tO+mY2Kpqv/TFda1+ETKbUVbF+eMimmY1Y94ubaLzwGnfrTABu6ZvZiERXNzXHz/N9dSaIwUyXuERSnaTnC2LnSnpN0tr0+FTBunmSNkp6SdInC+JHSVqX1i1MUyaa2QTXcM6VZGsbIKLUVbFBGExLfylwTJH4DyJiRnrcByDpcGAOcETa5ipJe6byi4C55OfMnb6bfZrZBNL+WBWtN9/r4ZkTyIBJPyIeBxoHub/ZwK0R0RURm4CNwCxJBwL7RsSqiAjgBuDY4VbazEov29jM9n/7tvvxJ5iR9Ol/RdJzqftnvxSbCmwtKFOdYlPTct94UZLmSqqSVFVfXz+CKprZWIgItv/7+eR2dZS6KjZEw036i4D3ATOAGuCSFC/WTx/9xIuKiMURMTMiZk6ZMmWYVTSzsdJy4wo6n3oOejw8c6IZVtKPiO0RkY2IHHAtMCutqgYOLig6DdiW4tOKxM1sgun+7avsOOsKoqOz1FWxYRhW0k999L0+DfSO7FkBzJG0t6TDyJ+wXR0RNUCrpKPTqJ0TgLtHUG8zK4HoyVB7wpk+cTuBDXhxlqRbgI8C+0uqBs4BPippBvkums3AlwAiYr2k5cAGIAOcGhG9syecQn4k0D7A/elhZhPIjvmLyWyt8fDMCWzApB8RxxUJX99P+fnA/CLxKuDIIdXOzMpGxy/X0nL9nW7lT3C+ItfMBpRtbqX2C2c74U8CTvpmNqC6r36XXOuuUlfDRoGTvpn1q2X5A3Q88ivo7il1VWwUOOmb2W71bNlGw7cu9vDMScRJ38yKikyG2pPO9N0zJxknfTMrqvHiZfT8thpyuVJXxUaRJ1ExszfpXLOe5itv8WidScgtfTN7g1xbO7Un+qrbycpJ38zeoO60i8jubC11NWyMOOmb2e+0rniE9vufhC6fvJ2snPTNDIDMtjrqv7bAwzMnOSd9MyNyOWo/79ssVAInfTNj5+U30/3iK5DJDlzYJjQP2TSrYLn2TpqvvZ2mi5YS7sevCE76ZhUoejK03LiCxu9cS3RnnPAryIDdO2ni8zpJzxfE3i1ppaSX0/N+BevmSdoo6SVJnyyIHyVpXVq3MM2gZWbjKHI5Wm5/gC0z/pEd5y0i19zmE7cVZjB9+kuBY/rETgcejojpwMPpNZIOB+YAR6RtrpK0Z9pmETCX/BSK04vs08zGSESw62dP8uqfzqHhmxeTrWsk2p3sK9FgZs56XNKhfcKzyU+hCLAMeBT4zxS/NSK6gE2SNgKzJG0G9o2IVQCSbgCOxVMmmo25jl/8moZ5l9KzZZsTvQ27T/+ANNk5EVEj6T0pPhV4qqBcdYr1pOW+cTMbI51rX6ThjMvofn6ju3Dsd0b7RG6xfvroJ158J9Jc8l1BHHLIIaNTM7MK0f2bzTScfQWdq9YSHR53b2803KS/XdKBqZV/IFCX4tXAwQXlpgHbUnxakXhREbEYWAwwc+bM3f5xMLPX9WytZcd5i2j/2ZNET8a3RLaihntx1grgxLR8InB3QXyOpL0lHUb+hO3q1BXUKunoNGrnhIJtzGwEMnWN1H3jIrZ++HPsuvex/PBLJ3zbjQFb+pJuIX/Sdn9J1cA5wAJguaSTgVeBzwBExHpJy4ENQAY4NSJ6L/E7hfxIoH3In8D1SVyzEcg2t9L0gxtpWXInkc15DlsblMGM3jluN6s+vpvy84H5ReJVwJFDqp2ZvUmuvZPmq2+j6bKbIJf1dIY2JL4i12yCiO4emm9YQdN3ryN6enyS1obFSd+szEU2S+sdD9F47pXkdnV4rL2NiJO+WZmKCHbd/wQ7zrqc7I5mor2j1FWyScBJ36wMtT+xhoZ5l5HZWuOWvY0qJ32zMtL56xdomHcZ3S/81snexoSTvlkZ6H5pEw1nXU7n08/5BK2NKSd9sxLqebWGHeddRfuDvyS6eyDnC9BtbDnpm5VAZvsOGhdcR9uPHyQyWU9TaOPGSd9sHGV3ttL0g2W0LPkJkc1CT6bUVbIK46RvNg5yuzrYefVt7Fx4U/6WCZ6e0ErESd9sDEV3D83LfkLTgiW+itbKgpO+2RiIbJbW2x9gx3mLiPZOD7+0suGkbzaKIoJd9z7OjrMvJ9vY7GRvZcdJ32yUtD9WRcMZl5Kp3u5kb2XLSd9shDrXrM/PRfviJid7K3tO+mbD1PXCK+w463I6f7XOJ2htwhhR0pe0GWgFskAmImZKejdwG3AosBn4bEQ0pfLzgJNT+a9GxAMjOb5ZKfRs3pa/ivahVURXD4SvorWJYzRa+n8VEQ0Fr08HHo6IBZJOT6//U9LhwBzgCOAg4CFJ7y+YTtGsrGVqG2j87nW03bGSyGQg63lobeIZi+6d2eTn1AVYBjwK/GeK3xoRXcAmSRuBWcCqMaiD2ajJ7myl6ZKltCz9Sf7CKl9FaxPYSJN+AA9KCuCaiFgMHBARNQARUSPpPansVOCpgm2rU+xNJM0F5gIccsghI6yi2fDk2trZueg2dl5xc/6WCV2eeNwmvpEm/Y9ExLaU2FdKerGfsioSK9oZmv54LAaYOXOmO0xtXEVXN81Lf0LT95YQPRmi0ydpbfIYUdKPiG3puU7SXeS7a7ZLOjC18g8E6lLxauDggs2nAdtGcnyz0RTZLK23/Ywd519NdPgqWpuc9hjuhpLeJukdvcvAXwPPAyuAE1OxE4G70/IKYI6kvSUdBkwHVg/3+GajJSJoXfEIW476LA3zLiW3Y6cTvk1aI2npHwDcJal3PzdHxM8k/QpYLulk4FXgMwARsV7ScmADkAFO9cgdK6WIoOOxKhrmXUpmW50TvVWEYSf9iHgF+GCR+A7g47vZZj4wf7jHNBstnVXraZh3Kd2/2exkbxXFV+RaRena8FsazlpIV9V6X0VrFclJ3ypCz6bX2HHuVbT//ClfRWsVzUnfJrVMbQONF15D290/J3qykPVpJKtsTvo2KWUbm2m6ZBktN9xNZHKQ8VW0ZuCkb5NMrq2dpitvofmqWz0XrVkRTvo2KURXN81L7qTxoh9CT9ZX0ZrthpO+TWiRydBy6/00XnAN0dnl4ZdmA3DStwkpcjna7nmMHWdfTm5nq5O92SA56duEEhF0PLKahjMuI1NT72RvNkRO+jZhdK5eR/0Zl9Hz8hYne7NhctK3ste1fiMNZy6k65kNvorWbISc9K1s9bxSTcM5V9Lx6K+Irm5fRWs2Cpz0rexkaurZccE17PrpI0SP56I1G01O+lY2so3NNF70Q1p/dE9+ekLPRWs26pz0reRybe00XX4zzYtuyyf7bs9FazZWnPStZHKdXTRffydNFy+FjK+iNRsP4570JR0DXAbsCVwXEQvGuw5WWpHJ0HLL/TRecDXR2U10ePil2XgZ16QvaU/gSuB/k58o/VeSVkTEhvGsRyWKCMjlIJsjMlnIpedsts/rHJHNvF4um8t3ufSW+93r3v1k8630bC7/nEvP2eJlc53dtCy5i1xLm8fam5XAeLf0ZwEb01SLSLoVmE1+3txRl+1NLIUJqzApvSFJ5fLlstk+r3uT2RuT2xuSZmFiS4kuMhnozhCZLNHTk05Mpnim4Lkn8/oxC/dXmEh765IrOHY2l56zkIu0PiX29Mi/TrGBhjvuIVCfR/4zAgH0PqflN4k3PBGRX+w9bqS6EB6NYzYYYzREebyT/lRga8HrauDP+haSNBeYC3DIIYcM60CRzfLaX88l29RSGH09Kf0uFG9Y/YYC0WfhDZv33VeRfZfKHnvAHnsUTc1j581HG9/jm00ukthz/3eN+n7HO+n300QsCEQsBhYDzJw5c1ipVHvuySFP3TycTc3MJq09xvl41cDBBa+nAdvGuQ5mZhVrvJP+r4Dpkg6T9HvAHGDFONfBzKxijWv3TkRkJH0FeID8kM0lEbF+POtgZlbJxn2cfkTcB9w33sc1M7Px794xM7MSctI3M6sgTvpmZhXESd/MrIIoynw2Ikn1wJZhbr4/0DCK1bGR82dSnvy5lJ+RfibvjYgpfYNln/RHQlJVRMwsdT3sdf5MypM/l/IzVp+Ju3fMzCqIk76ZWQWZ7El/cakrYG/iz6Q8+XMpP2PymUzqPn0zM3ujyd7SNzOzAk76ZmYVpGySvqSspLUFj0P7KfuoJA8vKyFJIenGgtdvkVQv6Z5R2n/baOyn0kn6dPqs/ngY214n6fC0vFnS/qNfw8o01t+f/oz7XTb70RERM0ZrZ5LeEhGZEe5jz4jIjladJpldwJGS9omIDvKT3b82lB2MxmdkAzoOeJL83BXnDnaj9Lv/b2NVKRv592e4ymLF25kAAAQVSURBVKalX4ykoyQ9JmmNpAckHViw+l8l/VLS85JmpfLnSlos6UHgBkknSbqiYH/3SPpoWl4kqUrSeknnFZTZLOnbkp4ETpf0TMG66ZLWjPX7nkDuB/42LR8H3NK7QtKs9Pn8Oj3/txQ/SdLtkn4KPCjp7ZJ+KGmdpOck/WPBPuZLelbSU5IOGM83NhlIejvwEeBk8kkfSR+V9LikuyRtkHS1pD3SujZJ50t6Gviw/6Mec8P5/jwhaUZBuV9I+sBQDlpOSX+fgq6duyTtBVwO/FNEHAUsAeYXlH9bRPw58OW0rtdRwOyI+JcBjndmutrtA8Bf9vnBdUbEX0TEfKC54If8eWDpsN/h5HMrMEfSW8n/HJ8uWPci8L8i4kPAt4HvFKz7MHBiRHwMOBtojog/iYgPAD9PZd4GPBURHwQeB744tm9lUjoW+FlE/AZolPQ/UnwWcBrwJ8D7gP+T4m8Dno+IP4uIJ8e9tpVnON+f64CTACS9H9g7Ip4bykHLtntH0pHAkcBKSZCfaaumoPwtABHxuKR9JfVOG78i/bs0kM9Kmkv+Z3AgcDjQ+8O7raDcdcDnJX0D+GfyXxgDIuK5dO7lON48Mc47gWWSpgMB7FWwbmVENKblT5BaoWmfTWmxG+jt31xD/t9fG5rjgEvT8q3p9b3A6oh4BUDSLcBfAD8GssAdJahnRRrm9+d24GxJ3wK+wDAaoeWU9PsSsD4iPryb9X0vMOh9vasgluGN/828FUDSYcA3gT+NiCZJS3vXFdnHHcA55FugayJix1DeRAVYAVwMfBT4g4L4BcAjEfHp9Iv9aMG6wp+vePNnCdATr19EkqW8f1fLjqQ/AD5Gvt84yDeagnxy2d13p9PnsMbdkL4/EdEuaSUwG/gsMOTut3Lq3unrJWCKpA8DSNpL0hEF6/85xf+CfPdAc5F9bAZmSNpD0sG83krfl3ziaU59xX+zu0pERCf5OX0XAT8c2VualJYA50fEuj7xd/L6iamT+tn+QeArvS8k7Teqtatc/wTcEBHvjYhDI+JgYBP5Vv0sSYelvvx/Jn+i10pjON+f64CFwK8K/mMetLJN+hHRTf4X93uSngXWAn9eUKRJ0i+Bq8mfqCrmF+R/0deR/2v6TNr3s8CvgfXkf+i/GKA6N5FvDT04rDcziUVEdURcVmTVfwHflfQL8q3M3bkQ2C+dkH8W+KuxqGcFOg64q0/sDuBfgFXAAuB58t+PvuVsnAzn+xMRa4AWhtkI9W0YBkHSN4F3RsTZpa6L2Uik0WvfjIi/K3VdbHgkHUS+u+ePIyI31O3dTzoASXeRH+HwsVLXxcwqm6QTyI9i/MZwEj64pW9mVlHKtk/fzMxGn5O+mVkFcdI3M6sgTvpmZhXESd/MrIL8f2Nubklq0FIUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Months=[\"February\",\"March\",\"April\",\"May\"]\n",
    "total_deaths=[0,28,1111,4012]\n",
    "plt.title(\"Total Deaths\")\n",
    "plt.fill_between(Months,total_deaths,0,color=\"Crimson\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. China compared to the rest of the world"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tt=pd.read_csv(r\"C:\\Users\\HP\\Downloads\\total_cases.csv\")\n",
    "td=pd.read_csv(r\"C:\\Users\\HP\\Downloads\\total_deaths.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Total Cases in China')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(\"China\",bins=\"auto\",density=False,alpha=0.9,rwidth=0.85,facecolor='orange',data=tt)\n",
    "plt.title(\"Total Cases in China\")\n",
    "#plt.xlabel(\"Total Cases\")\n",
    "#plt.ylabel(\"DAYS\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Total Deaths in China')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(\"China\",bins=\"auto\",alpha=0.9,facecolor='red',rwidth=0.85,data=td)\n",
    "plt.title(\"Total Deaths in China\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Let's annotate!\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"1.jpg\" style=width:300px;height:200px>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Impact of COVID-19 on National Stock Exchange of India NIFTY 50 (1 Jan 2020 to 19 May 2020)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Date=[\"30_January\",\"2_March\",\"12 March\",\"25_March\",\"12_May\"]\n",
    "value=[12211,11500,10089,8200,9600]\n",
    "#ylabel(\"Share Price\")\n",
    "plt.fill_between(Date,value,0,color=\"MediumVioletRed\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The GDP of a country tends to increase when the total value of goods and services that domestic producers sell to foreign countries exceeds the total value of foreign goods and services that domestic consumers buy. When this situation occurs, a country is said to have a trade surplus. If the opposite situation occurs–if the amount that domestic consumers spend on foreign products is greater than the total sum of what domestic producers are able to sell to foreign consumers–it is called a trade deficit. In this situation, the GDP of a country tends to decrease.# "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# India's GDP growth rate since FY16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "FY=[\"FY16\",\"FY17\",\"FY18\",\"FY19\",\"FY20\",\"FY21\"]\n",
    "GDP=[8.0,8.3,6.6,6.1,4.2,-5.0]\n",
    "#plt.xlabel(\"Fiscal Year\")\n",
    "#plt.ylabel(\"GDP\")\n",
    "plt.fill_between(FY,GDP,0,color=\"MediumSpringGreen\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}