03 - Fungsi, File IO, Library.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. Fungsi / Subprogram\n",
    "Fungsi / Subprogram digunakan untuk mengelompokkan beberapa syntaks dalam satu kelompok statement. Pada umumnya kelompok statement ini sering dikerjakan berulang kali. Ketika program kita sudah cukup besar, fungsi dapat digunakan untuk mem breakdown potongan-potongan kode agar menjadi beberapa kesatuan kecil.\n",
    "\n",
    "## 1.1 Deklarasi Fungsi\n",
    "Berikut diberikan contoh untuk mendeklarasikan fungsi bernama hello, yang menerima parameter berupa bilangan n. Tujuan dari fungsi ini akan mengoutputkan kata \"hello\" sebanyak n kali"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 306,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hello(n,k):\n",
    "    for i in range(n):\n",
    "        print(k)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2 Pemanggilan Fungsi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 307,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n",
      "Tutorial Bahasa Python\n"
     ]
    }
   ],
   "source": [
    "hello(10,\"Tutorial Bahasa Python\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.3 Fungsi yang Mengirimkan Kembalian Nilai\n",
    "Dalam contoh fungsi yang pertama, fungsi tersebut hanya menjalankan sebuah perintah. Namun fungsi juga seringkali digunakan untuk melakukan perhitungan dan kemudian nilainya dipergunakan dalam proses selanjutnya. seperti contoh berikut:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def faktorial(n):\n",
    "    i = 1\n",
    "    result = 1\n",
    "    while i<n:\n",
    "        result = result * n\n",
    "        n = n - 1\n",
    "    return result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 309,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "120\n",
      "12\n"
     ]
    }
   ],
   "source": [
    "hasil = faktorial(5)\n",
    "print(hasil)\n",
    "\n",
    "hasil = faktorial(2) * faktorial(3)\n",
    "print(hasil)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. FILE INPUT OUTPUT\n",
    "Seringkali kita ingin menyimpan hasil output dari program ke dalam sebuah File, ataupun membaca data yang ada dari file. Python menyediakan fungsi untuk hal ini\n",
    "\n",
    "# 2.1 Menulis ke File\n",
    "Dalam penulisan ke file, awalnya kita harus membuat / membuka sebuah file dengan mode 'w' atau write. Kemudian kita bisa memasukkan teks ke dalam file tersebut. Setelah selesai menulis, kita bisa close file tersebut. Kalian bisa mengeceknya dalam folder yang sama dengan ipynb ini, apakah file sudah terbuat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open('data.txt','w')\n",
    "f.write('Hello World! \\nHello Again \\n')\n",
    "f.write(\"This is our new text file \\n\") \n",
    "f.write(\"and this is another line \\n\") \n",
    "f.write(\"Why? Because we can\") \n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2 Membaca dari File "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello World! \n",
      "Hello Again \n",
      "This is our new text file \n",
      "and this is another line \n",
      "Why? Because we can\n"
     ]
    }
   ],
   "source": [
    "fo = open('data.txt','r')\n",
    "print(fo.read())\n",
    "fo.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 312,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===\n",
      "HELLO WORLD! \n",
      "\n",
      "===\n",
      "HELLO AGAIN \n",
      "\n",
      "===\n",
      "THIS IS OUR NEW TEXT FILE \n",
      "\n",
      "===\n",
      "AND THIS IS ANOTHER LINE \n",
      "\n",
      "===\n",
      "WHY? BECAUSE WE CAN\n"
     ]
    }
   ],
   "source": [
    "fo = open('data.txt','r')\n",
    "for line in fo:\n",
    "    print(\"===\")\n",
    "    print(line.upper())\n",
    "fo.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Import"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seringkali kita tidak perlu melakukan implementasi ulang terhadap banyak kasus seperti analisa statistik sederhana, melakukan random, fungsi matematika sederhana sampai yang kompleks, dan lain sebagainya. Kita bisa menggunakan module / library yang telah disediakan oleh python ataupun library yang telah dibuat oleh orang"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.1 Modul Random"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.40072947557790217\n",
      "87\n"
     ]
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "r = random.random()\n",
    "print(r)\n",
    "r = random.randint(50,100)\n",
    "print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['BPF',\n",
       " 'LOG4',\n",
       " 'NV_MAGICCONST',\n",
       " 'RECIP_BPF',\n",
       " 'Random',\n",
       " 'SG_MAGICCONST',\n",
       " 'SystemRandom',\n",
       " 'TWOPI',\n",
       " '_BuiltinMethodType',\n",
       " '_MethodType',\n",
       " '_Sequence',\n",
       " '_Set',\n",
       " '__all__',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " '_acos',\n",
       " '_bisect',\n",
       " '_ceil',\n",
       " '_cos',\n",
       " '_e',\n",
       " '_exp',\n",
       " '_inst',\n",
       " '_itertools',\n",
       " '_log',\n",
       " '_pi',\n",
       " '_random',\n",
       " '_sha512',\n",
       " '_sin',\n",
       " '_sqrt',\n",
       " '_test',\n",
       " '_test_generator',\n",
       " '_urandom',\n",
       " '_warn',\n",
       " 'betavariate',\n",
       " 'choice',\n",
       " 'choices',\n",
       " 'expovariate',\n",
       " 'gammavariate',\n",
       " 'gauss',\n",
       " 'getrandbits',\n",
       " 'getstate',\n",
       " 'lognormvariate',\n",
       " 'normalvariate',\n",
       " 'paretovariate',\n",
       " 'randint',\n",
       " 'random',\n",
       " 'randrange',\n",
       " 'sample',\n",
       " 'seed',\n",
       " 'setstate',\n",
       " 'shuffle',\n",
       " 'triangular',\n",
       " 'uniform',\n",
       " 'vonmisesvariate',\n",
       " 'weibullvariate']"
      ]
     },
     "execution_count": 315,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(random)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2 Modul Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 316,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.714285714285714 3 1 5.437961803049794 29.571428571428566\n"
     ]
    }
   ],
   "source": [
    "import statistics as sta\n",
    "\n",
    "a = [0, 1, 1, 3, 4, 9, 15]\n",
    "\n",
    "b = sta.mean(a)\n",
    "c = sta.median(a)\n",
    "d = sta.mode(a)\n",
    "e = sta.stdev(a)\n",
    "f = sta.variance(a)\n",
    "\n",
    "print(b,c,d,e,f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 317,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Decimal',\n",
       " 'Fraction',\n",
       " 'StatisticsError',\n",
       " '__all__',\n",
       " '__builtins__',\n",
       " '__cached__',\n",
       " '__doc__',\n",
       " '__file__',\n",
       " '__loader__',\n",
       " '__name__',\n",
       " '__package__',\n",
       " '__spec__',\n",
       " '_coerce',\n",
       " '_convert',\n",
       " '_counts',\n",
       " '_exact_ratio',\n",
       " '_fail_neg',\n",
       " '_find_lteq',\n",
       " '_find_rteq',\n",
       " '_isfinite',\n",
       " '_ss',\n",
       " '_sum',\n",
       " 'bisect_left',\n",
       " 'bisect_right',\n",
       " 'chain',\n",
       " 'collections',\n",
       " 'decimal',\n",
       " 'groupby',\n",
       " 'harmonic_mean',\n",
       " 'math',\n",
       " 'mean',\n",
       " 'median',\n",
       " 'median_grouped',\n",
       " 'median_high',\n",
       " 'median_low',\n",
       " 'mode',\n",
       " 'numbers',\n",
       " 'pstdev',\n",
       " 'pvariance',\n",
       " 'stdev',\n",
       " 'variance']"
      ]
     },
     "execution_count": 317,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(statistics)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Jika gagal import, maka package tersebut belum ada dalam library di komputer lokal kita.\n",
    "Kita harus mendownload nya dari package manager python.\n",
    "package manager : pip, conda"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.3 Modul Math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "\n",
    "a = math.factorial(5)\n",
    "b = math.pi\n",
    "c = math.sqrt(5)\n",
    "d = math.log(256, 2)\n",
    "\n",
    "print(a,b,c,d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.4 Modul CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv,os\n",
    "print(os.getcwd())\n",
    "with open('data-bencana-kekeringan-2012-2013.csv') as csvfile:\n",
    "    my_csv_file = csv.reader(csvfile, delimiter=',',quotechar=\"'\")\n",
    "    for row in my_csv_file:\n",
    "        kolom_tanggal = row[2]\n",
    "        print(row)\n",
    "        print(\"=================\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. Numpy\n",
    "Numpy memiliki kegunaan untuk operasi vektor dan matriks. Fiturnya hampir sama dengan MATLAB dalam mengelola array dan array multidimensi. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.1 Numpy Array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 2 3]\n",
      " [4 5 6]]\n",
      "(2, 3)\n",
      "1 2 4\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "# a = np.array([1, 2, 3])   \n",
    "# print(a)\n",
    "# print(type(a))            \n",
    "# print(a.shape)            \n",
    "# print(a[0], a[1], a[2])   \n",
    "# a[0] = 5                  \n",
    "# print(a)                  \n",
    "\n",
    "b = np.array([[1,2,3],[4,5,6]])    \n",
    "print(b)\n",
    "print(b.shape)                     \n",
    "print(b[0, 0], b[0, 1], b[1, 0])   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.2 Buat Array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.35496649  0.31574346  0.86014418  0.79060175  0.14366303]\n",
      " [ 0.15028203  0.85767561  0.2491628   0.26437015  0.38173404]\n",
      " [ 0.93026496  0.05927082  0.24389118  0.39301268  0.9360466 ]\n",
      " [ 0.01606721  0.56275679  0.19491998  0.75071973  0.32543569]\n",
      " [ 0.72643753  0.36890742  0.40160521  0.97974954  0.25034607]]\n"
     ]
    }
   ],
   "source": [
    "# a = np.zeros((5,4))   \n",
    "# print(a)             \n",
    "                      \n",
    "# b = np.ones((3,2))    \n",
    "# print(b)              \n",
    "\n",
    "# c = np.full((5,2), 7)  \n",
    "# print(c)               \n",
    "                      \n",
    "# d = np.eye(6)        \n",
    "# print(d)             \n",
    "                     \n",
    "# e = np.random.random((5,5))  \n",
    "# print(e)                                             "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.3 Indexing & Slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1  2  3  4]\n",
      " [ 5  6  7  8]\n",
      " [ 9 10 11 12]]\n",
      "[[2 3]\n",
      " [6 7]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "a = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])\n",
    "print(a)\n",
    "b = a[:2, 1:3]\n",
    "print(b)\n",
    "# print(a[0, 1])   \n",
    "# b[0, 0] = 77 \n",
    "# print(b)\n",
    "# print(a[0, 1])  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4.4 Operasi Vektor & Matriks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1.  2.]\n",
      " [ 3.  4.]]\n",
      "[[ 5.  6.]\n",
      " [ 7.  8.]]\n",
      "[[ 0.2         0.33333333]\n",
      " [ 0.42857143  0.5       ]]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "x = np.array([[1,2],[3,4]], dtype=np.float64)\n",
    "y = np.array([[5,6],[7,8]], dtype=np.float64)\n",
    "\n",
    "print(x)\n",
    "print(y)\n",
    "\n",
    "# print(x + y)\n",
    "# print(np.add(x, y))\n",
    "\n",
    "# print(x - y)\n",
    "# print(np.subtract(x, y))\n",
    "\n",
    "# print(x * y)\n",
    "# print(np.multiply(x, y))\n",
    "\n",
    "# print(x / y)\n",
    "# print(np.divide(x, y))\n",
    "\n",
    "# print(np.sqrt(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Pandas\n",
    "Dengan menggunakan sistem dataframe, kita dapat memuat sebuah file ke dalam tabel virtual ala spreadsheet dengan menggunakan Pandas. Dengan menggunakan Pandas, kita dapat mengolah suatu data dan mengolahnya seperti join, distinct, group by, agregasi, dan teknik seperti pada SQL. Hanya saja dilakukan pada tabel yang dimuat dari file ke RAM. Pandas juga dapat membaca file dari berbagai format seperti .txt, .csv, .tsv, dan lainnya. Anggap saja Pandas adalah spreadsheet namun tidak memiliki GUI dan punya fitur seperti SQL."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.1 Membaca File CSV"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_kekeringan = pd.read_csv('data-bencana-kekeringan-2012-2013.csv', delimiter = ',', encoding = \"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.2 Melihat Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "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>No</th>\n",
       "      <th>Bencana</th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>Jam</th>\n",
       "      <th>Bujur</th>\n",
       "      <th>Lintang</th>\n",
       "      <th>Lokasi</th>\n",
       "      <th>Korban</th>\n",
       "      <th>Kerugian</th>\n",
       "      <th>Keterangan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/29/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.140</td>\n",
       "      <td>-7.15097</td>\n",
       "      <td>Kampung Laut Kawungaten Kedungmangu Gadingreja...</td>\n",
       "      <td>nihil</td>\n",
       "      <td>Â± 800 ha sawah mengalami kekeringan</td>\n",
       "      <td>Kronologis : - Kekeringan terjadi pada akhir A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/23/2013</td>\n",
       "      <td>12.30 WIB</td>\n",
       "      <td>106.842</td>\n",
       "      <td>-6.17332</td>\n",
       "      <td>Jl. Krmat III Dalam RT. 06 / 08 Kel. Kwitang K...</td>\n",
       "      <td>nihil</td>\n",
       "      <td>1 rumah terbakar</td>\n",
       "      <td>Kronologis : - Api berasal dari Korsleting aru...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/23/2013</td>\n",
       "      <td>15:32 WIB</td>\n",
       "      <td>106.845</td>\n",
       "      <td>-6.21154</td>\n",
       "      <td>Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel...</td>\n",
       "      <td>nihil</td>\n",
       "      <td>1 rumah terbakar</td>\n",
       "      <td>Kronologis : - Api berasal dari Korsleting aru...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/23/2013</td>\n",
       "      <td>18.25 WIB</td>\n",
       "      <td>106.845</td>\n",
       "      <td>-6.21154</td>\n",
       "      <td>Jl. Kebon Tebu RT. 019 / 17 Kel. Muara Baru Ke...</td>\n",
       "      <td>nihil</td>\n",
       "      <td>50 rumah petakan terbakar</td>\n",
       "      <td>Kronologis : - Api berasal dari Korsleting aru...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/20/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.564</td>\n",
       "      <td>-6.71553</td>\n",
       "      <td>Provinsi Jawa Barat Kota Cirebon Kec. Harjamuk...</td>\n",
       "      <td>Sebagian wilayah Kel. Argasunya dan Kel. Kalij...</td>\n",
       "      <td>Dalam Pendataan</td>\n",
       "      <td>Kronologis : - Musim Kemarau Upaya : - Walikot...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/19/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.464</td>\n",
       "      <td>-7.16460</td>\n",
       "      <td>Ds. Bujur Barat Ds. Bujur Timur Ds. Ponjanan B...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Masih dalam pendataan</td>\n",
       "      <td>*Kronologis : Menurunnya debit sumber mata air...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/17/2013</td>\n",
       "      <td>07.00 WIB</td>\n",
       "      <td>112.898</td>\n",
       "      <td>-7.64975</td>\n",
       "      <td>Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Dalam proses pendataan</td>\n",
       "      <td>Kondisi Mutakhir: Desa-desa yang terdampak; 1....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/17/2013</td>\n",
       "      <td>07:00:00 WIB</td>\n",
       "      <td>112.903</td>\n",
       "      <td>-7.64487</td>\n",
       "      <td>Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Dalam proses pendataan</td>\n",
       "      <td>Kondisi Muktahir : Desa-Desa yang terdampak ; ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/17/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.214</td>\n",
       "      <td>-7.32795</td>\n",
       "      <td>Kab. Tasikmalaya, Provinsi Jawa Barat</td>\n",
       "      <td>Masih dalam pendataan</td>\n",
       "      <td>Masih dalam pendataan</td>\n",
       "      <td>Kronologis : - Disebabkan oleh Musim Kemarau U...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.617</td>\n",
       "      <td>-6.81108</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...</td>\n",
       "      <td>Penduduk di 16 kecamatan terdampak</td>\n",
       "      <td>Dalam proses pendataan</td>\n",
       "      <td>Kronologis : - Musim Kemarau Upaya : - Bupati ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.350</td>\n",
       "      <td>-7.33333</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Ciamis</td>\n",
       "      <td>Pendataan</td>\n",
       "      <td>Sawah mengalami gagal panen</td>\n",
       "      <td>Kronologis : - Disebabkan oleh Musim Kemarau U...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/15/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.657</td>\n",
       "      <td>-7.67868</td>\n",
       "      <td>(83 Desa dalam pendataan) Kec. Kebumen Kec. Ka...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Kesulitan mencari air bersih di 16 Kecamatan 8...</td>\n",
       "      <td>*Kronologis: -Sejak pertengahan September samp...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/9/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.610</td>\n",
       "      <td>-6.91474</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Bandung Kec. Bojong S...</td>\n",
       "      <td>Penduduk di 23 Kecamatan dan 54 Desa/Kelurahan...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Kronologis : - Musim Kemarau Upaya : - Bupati ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/5/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.994</td>\n",
       "      <td>-7.70555</td>\n",
       "      <td>Dsn.Krajan Dsn.Jambaran Dsn.Kembang Sari Timur...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Kondisi Muktahir: -Jarak lokasi ke kota 20 Kmâ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/2/2013</td>\n",
       "      <td>-</td>\n",
       "      <td>106.551</td>\n",
       "      <td>-6.98727</td>\n",
       "      <td>Kec. Tegal Buleud Ds. Calincing Kp. Puncak Sob...</td>\n",
       "      <td>Korban Jiwa/Terdampak :  Ds. Pagelaran 700 KK...</td>\n",
       "      <td>Kerugian Materil :  Di Kec. Jampang Kulon, Ds...</td>\n",
       "      <td>Kronologis : Kekeringan terjadi pada akhir Agu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/2/2013</td>\n",
       "      <td>-</td>\n",
       "      <td>112.163</td>\n",
       "      <td>-8.10144</td>\n",
       "      <td>Kec. Nglegok Ds. Sumber Sari Kec. Panggung Rej...</td>\n",
       "      <td>Korban Jiwa : Nihil</td>\n",
       "      <td>Kerugian Materil : Nihil</td>\n",
       "      <td>Dampak Bencana :  Kekuranagn AIR  Tanah Keri...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/1/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.840</td>\n",
       "      <td>-6.83133</td>\n",
       "      <td>Ds. Kamal Ds. Pamulihan Kec. Larangan Ds. Peng...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Wilayah Timur : 150 Ha sawah kekeringan Wilaya...</td>\n",
       "      <td>Kondisi Mutakhir : Kekeringan terjadi dari bul...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>8/31/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.008</td>\n",
       "      <td>-7.70973</td>\n",
       "      <td>Kec. Bagelen Kec. Purworejo Kec. Gerabak Kec. ...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Masih dalam pendataan</td>\n",
       "      <td>Kronologis :Musim kemarau Upaya : - BPBD, Dina...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>8/31/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.547</td>\n",
       "      <td>-7.46168</td>\n",
       "      <td>Ds panerusan kulon Ds Panerusan wetan Ds gumel...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>-Sawah 304 Ha Kering terancam gagal panen -Lad...</td>\n",
       "      <td>Kronologis : -Jumlah desa yang mengalami rawan...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>8/15/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>109.642</td>\n",
       "      <td>-7.68377</td>\n",
       "      <td>Kec. Ayah Kec. Buayan Kec. Rowokele Kec. Sempo...</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>*Kronologis :Kekeringan disebabkan oleh pola m...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>8/24/2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>114.952</td>\n",
       "      <td>-3.17240</td>\n",
       "      <td>Kec. Simpang Empat, Kab. Banjar, Prov. Kaliman...</td>\n",
       "      <td>2039 KK / 8156 jiwa terdampak</td>\n",
       "      <td>Nihil</td>\n",
       "      <td>- BPBD langsung meninjau lokasi bencana kekeri...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>22</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>8/1/2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.722</td>\n",
       "      <td>-7.80896</td>\n",
       "      <td>Kab. Probolinggo, Prov. Jawa Timur</td>\n",
       "      <td>104.344 jiwa tersebar di 40 desa dan 12 kecamatan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>- Musim kemarau yang panjang telah menimbulkan...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>23</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>6/7/2012</td>\n",
       "      <td>NaN</td>\n",
       "      <td>112.960</td>\n",
       "      <td>-7.83601</td>\n",
       "      <td>Kec. Gempol dan Lumbang, Kab. Pasuruan, Prov. ...</td>\n",
       "      <td>11.444 KK / 46.594 Jiwa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    No     Bencana    Tanggal           Jam    Bujur   Lintang   \\\n",
       "0     1  Kekeringan  9/29/2013           NaN  110.140  -7.15097   \n",
       "1     2  Kekeringan  9/23/2013     12.30 WIB  106.842  -6.17332   \n",
       "2     3  Kekeringan  9/23/2013     15:32 WIB  106.845  -6.21154   \n",
       "3     4  Kekeringan  9/23/2013     18.25 WIB  106.845  -6.21154   \n",
       "4     5  Kekeringan  9/20/2013           NaN  108.564  -6.71553   \n",
       "5     6  Kekeringan  9/19/2013           NaN  113.464  -7.16460   \n",
       "6     7  Kekeringan  9/17/2013     07.00 WIB  112.898  -7.64975   \n",
       "7     8  Kekeringan  9/17/2013  07:00:00 WIB  112.903  -7.64487   \n",
       "8     9  Kekeringan  9/17/2013           NaN  108.214  -7.32795   \n",
       "9    10  Kekeringan  9/16/2013           NaN  107.617  -6.81108   \n",
       "10   11  Kekeringan  9/16/2013           NaN  108.350  -7.33333   \n",
       "11   12  Kekeringan  9/15/2013           NaN  109.657  -7.67868   \n",
       "12   13  Kekeringan   9/9/2013           NaN  107.610  -6.91474   \n",
       "13   14  Kekeringan   9/5/2013           NaN  113.994  -7.70555   \n",
       "14   15  Kekeringan   9/2/2013             -  106.551  -6.98727   \n",
       "15   16  Kekeringan   9/2/2013             -  112.163  -8.10144   \n",
       "16   17  Kekeringan   9/1/2013           NaN  108.840  -6.83133   \n",
       "17   18  Kekeringan  8/31/2013           NaN  110.008  -7.70973   \n",
       "18   19  Kekeringan  8/31/2013           NaN  109.547  -7.46168   \n",
       "19   20  Kekeringan  8/15/2013           NaN  109.642  -7.68377   \n",
       "20   21  Kekeringan  8/24/2012           NaN  114.952  -3.17240   \n",
       "21   22  Kekeringan   8/1/2012           NaN  113.722  -7.80896   \n",
       "22   23  Kekeringan   6/7/2012           NaN  112.960  -7.83601   \n",
       "\n",
       "                                              Lokasi   \\\n",
       "0   Kampung Laut Kawungaten Kedungmangu Gadingreja...   \n",
       "1   Jl. Krmat III Dalam RT. 06 / 08 Kel. Kwitang K...   \n",
       "2   Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel...   \n",
       "3   Jl. Kebon Tebu RT. 019 / 17 Kel. Muara Baru Ke...   \n",
       "4   Provinsi Jawa Barat Kota Cirebon Kec. Harjamuk...   \n",
       "5   Ds. Bujur Barat Ds. Bujur Timur Ds. Ponjanan B...   \n",
       "6   Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...   \n",
       "7   Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...   \n",
       "8               Kab. Tasikmalaya, Provinsi Jawa Barat   \n",
       "9   Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...   \n",
       "10                    Provinsi Jawa Barat Kab. Ciamis   \n",
       "11  (83 Desa dalam pendataan) Kec. Kebumen Kec. Ka...   \n",
       "12  Provinsi Jawa Barat Kab. Bandung Kec. Bojong S...   \n",
       "13  Dsn.Krajan Dsn.Jambaran Dsn.Kembang Sari Timur...   \n",
       "14  Kec. Tegal Buleud Ds. Calincing Kp. Puncak Sob...   \n",
       "15  Kec. Nglegok Ds. Sumber Sari Kec. Panggung Rej...   \n",
       "16  Ds. Kamal Ds. Pamulihan Kec. Larangan Ds. Peng...   \n",
       "17  Kec. Bagelen Kec. Purworejo Kec. Gerabak Kec. ...   \n",
       "18  Ds panerusan kulon Ds Panerusan wetan Ds gumel...   \n",
       "19  Kec. Ayah Kec. Buayan Kec. Rowokele Kec. Sempo...   \n",
       "20  Kec. Simpang Empat, Kab. Banjar, Prov. Kaliman...   \n",
       "21                 Kab. Probolinggo, Prov. Jawa Timur   \n",
       "22  Kec. Gempol dan Lumbang, Kab. Pasuruan, Prov. ...   \n",
       "\n",
       "                                              Korban   \\\n",
       "0                                               nihil   \n",
       "1                                               nihil   \n",
       "2                                               nihil   \n",
       "3                                               nihil   \n",
       "4   Sebagian wilayah Kel. Argasunya dan Kel. Kalij...   \n",
       "5                                               Nihil   \n",
       "6                                               Nihil   \n",
       "7                                               Nihil   \n",
       "8                               Masih dalam pendataan   \n",
       "9                  Penduduk di 16 kecamatan terdampak   \n",
       "10                                          Pendataan   \n",
       "11                                              Nihil   \n",
       "12  Penduduk di 23 Kecamatan dan 54 Desa/Kelurahan...   \n",
       "13                                              Nihil   \n",
       "14  Korban Jiwa/Terdampak :  Ds. Pagelaran 700 KK...   \n",
       "15                                Korban Jiwa : Nihil   \n",
       "16                                              Nihil   \n",
       "17                                              Nihil   \n",
       "18                                              Nihil   \n",
       "19                                              Nihil   \n",
       "20                      2039 KK / 8156 jiwa terdampak   \n",
       "21  104.344 jiwa tersebar di 40 desa dan 12 kecamatan   \n",
       "22                            11.444 KK / 46.594 Jiwa   \n",
       "\n",
       "                                            Kerugian   \\\n",
       "0                Â± 800 ha sawah mengalami kekeringan   \n",
       "1                                    1 rumah terbakar   \n",
       "2                                    1 rumah terbakar   \n",
       "3                           50 rumah petakan terbakar   \n",
       "4                                     Dalam Pendataan   \n",
       "5                               Masih dalam pendataan   \n",
       "6                              Dalam proses pendataan   \n",
       "7                              Dalam proses pendataan   \n",
       "8                               Masih dalam pendataan   \n",
       "9                              Dalam proses pendataan   \n",
       "10                        Sawah mengalami gagal panen   \n",
       "11  Kesulitan mencari air bersih di 16 Kecamatan 8...   \n",
       "12                                              Nihil   \n",
       "13                                              Nihil   \n",
       "14  Kerugian Materil :  Di Kec. Jampang Kulon, Ds...   \n",
       "15                           Kerugian Materil : Nihil   \n",
       "16  Wilayah Timur : 150 Ha sawah kekeringan Wilaya...   \n",
       "17                              Masih dalam pendataan   \n",
       "18  -Sawah 304 Ha Kering terancam gagal panen -Lad...   \n",
       "19                                              Nihil   \n",
       "20                                              Nihil   \n",
       "21                                                NaN   \n",
       "22                                                NaN   \n",
       "\n",
       "                                          Keterangan   \n",
       "0   Kronologis : - Kekeringan terjadi pada akhir A...  \n",
       "1   Kronologis : - Api berasal dari Korsleting aru...  \n",
       "2   Kronologis : - Api berasal dari Korsleting aru...  \n",
       "3   Kronologis : - Api berasal dari Korsleting aru...  \n",
       "4   Kronologis : - Musim Kemarau Upaya : - Walikot...  \n",
       "5   *Kronologis : Menurunnya debit sumber mata air...  \n",
       "6   Kondisi Mutakhir: Desa-desa yang terdampak; 1....  \n",
       "7   Kondisi Muktahir : Desa-Desa yang terdampak ; ...  \n",
       "8   Kronologis : - Disebabkan oleh Musim Kemarau U...  \n",
       "9   Kronologis : - Musim Kemarau Upaya : - Bupati ...  \n",
       "10  Kronologis : - Disebabkan oleh Musim Kemarau U...  \n",
       "11  *Kronologis: -Sejak pertengahan September samp...  \n",
       "12  Kronologis : - Musim Kemarau Upaya : - Bupati ...  \n",
       "13  Kondisi Muktahir: -Jarak lokasi ke kota 20 Kmâ...  \n",
       "14  Kronologis : Kekeringan terjadi pada akhir Agu...  \n",
       "15  Dampak Bencana :  Kekuranagn AIR  Tanah Keri...  \n",
       "16  Kondisi Mutakhir : Kekeringan terjadi dari bul...  \n",
       "17  Kronologis :Musim kemarau Upaya : - BPBD, Dina...  \n",
       "18  Kronologis : -Jumlah desa yang mengalami rawan...  \n",
       "19  *Kronologis :Kekeringan disebabkan oleh pola m...  \n",
       "20  - BPBD langsung meninjau lokasi bencana kekeri...  \n",
       "21  - Musim kemarau yang panjang telah menimbulkan...  \n",
       "22                                                NaN  "
      ]
     },
     "execution_count": 333,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>No</th>\n",
       "      <th>Bencana</th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>Jam</th>\n",
       "      <th>Bujur</th>\n",
       "      <th>Lintang</th>\n",
       "      <th>Lokasi</th>\n",
       "      <th>Korban</th>\n",
       "      <th>Kerugian</th>\n",
       "      <th>Keterangan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/29/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110.14</td>\n",
       "      <td>-7.15097</td>\n",
       "      <td>Kampung Laut Kawungaten Kedungmangu Gadingreja...</td>\n",
       "      <td>nihil</td>\n",
       "      <td>Â± 800 ha sawah mengalami kekeringan</td>\n",
       "      <td>Kronologis : - Kekeringan terjadi pada akhir A...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   No     Bencana    Tanggal  Jam   Bujur   Lintang   \\\n",
       "0    1  Kekeringan  9/29/2013  NaN  110.14  -7.15097   \n",
       "\n",
       "                                             Lokasi  Korban   \\\n",
       "0  Kampung Laut Kawungaten Kedungmangu Gadingreja...   nihil   \n",
       "\n",
       "                              Kerugian   \\\n",
       "0  Â± 800 ha sawah mengalami kekeringan   \n",
       "\n",
       "                                         Keterangan   \n",
       "0  Kronologis : - Kekeringan terjadi pada akhir A...  "
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_kekeringan.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_kekeringan.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "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>Bencana</th>\n",
       "      <th>Tanggal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/15/2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/9/2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/5/2013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/2/2013</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Bencana    Tanggal \n",
       "10  Kekeringan  9/16/2013\n",
       "11  Kekeringan  9/15/2013\n",
       "12  Kekeringan   9/9/2013\n",
       "13  Kekeringan   9/5/2013\n",
       "14  Kekeringan   9/2/2013"
      ]
     },
     "execution_count": 337,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan.iloc[10:15,1:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.3 Memilih Beberapa Kolom Saja"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['No ', 'Bencana ', 'Tanggal ', 'Jam ', 'Bujur ', 'Lintang ', 'Lokasi ',\n",
       "       'Korban ', 'Kerugian ', 'Keterangan '],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "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>Bencana</th>\n",
       "      <th>Lokasi</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kampung Laut Kawungaten Kedungmangu Gadingreja...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Jl. Krmat III Dalam RT. 06 / 08 Kel. Kwitang K...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Jl. Kebon Tebu RT. 019 / 17 Kel. Muara Baru Ke...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Provinsi Jawa Barat Kota Cirebon Kec. Harjamuk...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Ds. Bujur Barat Ds. Bujur Timur Ds. Ponjanan B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kab. Tasikmalaya, Provinsi Jawa Barat</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Ciamis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>(83 Desa dalam pendataan) Kec. Kebumen Kec. Ka...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Bandung Kec. Bojong S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Dsn.Krajan Dsn.Jambaran Dsn.Kembang Sari Timur...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Tegal Buleud Ds. Calincing Kp. Puncak Sob...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Nglegok Ds. Sumber Sari Kec. Panggung Rej...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Ds. Kamal Ds. Pamulihan Kec. Larangan Ds. Peng...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Bagelen Kec. Purworejo Kec. Gerabak Kec. ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Ds panerusan kulon Ds Panerusan wetan Ds gumel...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Ayah Kec. Buayan Kec. Rowokele Kec. Sempo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Simpang Empat, Kab. Banjar, Prov. Kaliman...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kab. Probolinggo, Prov. Jawa Timur</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>Kec. Gempol dan Lumbang, Kab. Pasuruan, Prov. ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Bencana                                             Lokasi \n",
       "0   Kekeringan  Kampung Laut Kawungaten Kedungmangu Gadingreja...\n",
       "1   Kekeringan  Jl. Krmat III Dalam RT. 06 / 08 Kel. Kwitang K...\n",
       "2   Kekeringan  Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel...\n",
       "3   Kekeringan  Jl. Kebon Tebu RT. 019 / 17 Kel. Muara Baru Ke...\n",
       "4   Kekeringan  Provinsi Jawa Barat Kota Cirebon Kec. Harjamuk...\n",
       "5   Kekeringan  Ds. Bujur Barat Ds. Bujur Timur Ds. Ponjanan B...\n",
       "6   Kekeringan  Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...\n",
       "7   Kekeringan  Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...\n",
       "8   Kekeringan              Kab. Tasikmalaya, Provinsi Jawa Barat\n",
       "9   Kekeringan  Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...\n",
       "10  Kekeringan                    Provinsi Jawa Barat Kab. Ciamis\n",
       "11  Kekeringan  (83 Desa dalam pendataan) Kec. Kebumen Kec. Ka...\n",
       "12  Kekeringan  Provinsi Jawa Barat Kab. Bandung Kec. Bojong S...\n",
       "13  Kekeringan  Dsn.Krajan Dsn.Jambaran Dsn.Kembang Sari Timur...\n",
       "14  Kekeringan  Kec. Tegal Buleud Ds. Calincing Kp. Puncak Sob...\n",
       "15  Kekeringan  Kec. Nglegok Ds. Sumber Sari Kec. Panggung Rej...\n",
       "16  Kekeringan  Ds. Kamal Ds. Pamulihan Kec. Larangan Ds. Peng...\n",
       "17  Kekeringan  Kec. Bagelen Kec. Purworejo Kec. Gerabak Kec. ...\n",
       "18  Kekeringan  Ds panerusan kulon Ds Panerusan wetan Ds gumel...\n",
       "19  Kekeringan  Kec. Ayah Kec. Buayan Kec. Rowokele Kec. Sempo...\n",
       "20  Kekeringan  Kec. Simpang Empat, Kab. Banjar, Prov. Kaliman...\n",
       "21  Kekeringan                 Kab. Probolinggo, Prov. Jawa Timur\n",
       "22  Kekeringan  Kec. Gempol dan Lumbang, Kab. Pasuruan, Prov. ..."
      ]
     },
     "execution_count": 339,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan[['Bencana ','Lokasi ']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     Kampung Laut Kawungaten Kedungmangu Gadingreja...\n",
       "1     Jl. Krmat III Dalam RT. 06 / 08 Kel. Kwitang K...\n",
       "2     Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel...\n",
       "3     Jl. Kebon Tebu RT. 019 / 17 Kel. Muara Baru Ke...\n",
       "4     Provinsi Jawa Barat Kota Cirebon Kec. Harjamuk...\n",
       "5     Ds. Bujur Barat Ds. Bujur Timur Ds. Ponjanan B...\n",
       "6     Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...\n",
       "7     Ds. Sruwi Ds. Sumberejo Kec. Winongan Ds. Kara...\n",
       "8                 Kab. Tasikmalaya, Provinsi Jawa Barat\n",
       "9     Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...\n",
       "10                      Provinsi Jawa Barat Kab. Ciamis\n",
       "11    (83 Desa dalam pendataan) Kec. Kebumen Kec. Ka...\n",
       "12    Provinsi Jawa Barat Kab. Bandung Kec. Bojong S...\n",
       "13    Dsn.Krajan Dsn.Jambaran Dsn.Kembang Sari Timur...\n",
       "14    Kec. Tegal Buleud Ds. Calincing Kp. Puncak Sob...\n",
       "15    Kec. Nglegok Ds. Sumber Sari Kec. Panggung Rej...\n",
       "16    Ds. Kamal Ds. Pamulihan Kec. Larangan Ds. Peng...\n",
       "17    Kec. Bagelen Kec. Purworejo Kec. Gerabak Kec. ...\n",
       "18    Ds panerusan kulon Ds Panerusan wetan Ds gumel...\n",
       "19    Kec. Ayah Kec. Buayan Kec. Rowokele Kec. Sempo...\n",
       "20    Kec. Simpang Empat, Kab. Banjar, Prov. Kaliman...\n",
       "21                   Kab. Probolinggo, Prov. Jawa Timur\n",
       "22    Kec. Gempol dan Lumbang, Kab. Pasuruan, Prov. ...\n",
       "Name: Lokasi , dtype: object"
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan['Lokasi ']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Jl. Cibubur, Blok Dukuh, No. 6 RT. 02 / 10 Kel. Cibubur Kec. Ciracas Kota Adm. Jakarta Timur Prov. DKI Jakarta'"
      ]
     },
     "execution_count": 341,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan['Lokasi '][2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "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>No</th>\n",
       "      <th>Bencana</th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>Jam</th>\n",
       "      <th>Bujur</th>\n",
       "      <th>Lintang</th>\n",
       "      <th>Lokasi</th>\n",
       "      <th>Korban</th>\n",
       "      <th>Kerugian</th>\n",
       "      <th>Keterangan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.35</td>\n",
       "      <td>-7.33333</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Ciamis</td>\n",
       "      <td>Pendataan</td>\n",
       "      <td>Sawah mengalami gagal panen</td>\n",
       "      <td>Kronologis : - Disebabkan oleh Musim Kemarau U...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    No     Bencana    Tanggal  Jam   Bujur   Lintang   \\\n",
       "10   11  Kekeringan  9/16/2013  NaN  108.35  -7.33333   \n",
       "\n",
       "                            Lokasi     Korban                     Kerugian   \\\n",
       "10  Provinsi Jawa Barat Kab. Ciamis  Pendataan  Sawah mengalami gagal panen   \n",
       "\n",
       "                                          Keterangan   \n",
       "10  Kronologis : - Disebabkan oleh Musim Kemarau U...  "
      ]
     },
     "execution_count": 342,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data_kekeringan[data_kekeringan['Tanggal ']=='9/16/2013']\n",
    "data_kekeringan.loc[(data_kekeringan['Tanggal ']=='9/16/2013') & (data_kekeringan['Korban ']=='Pendataan')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "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>No</th>\n",
       "      <th>Bencana</th>\n",
       "      <th>Tanggal</th>\n",
       "      <th>Jam</th>\n",
       "      <th>Bujur</th>\n",
       "      <th>Lintang</th>\n",
       "      <th>Lokasi</th>\n",
       "      <th>Korban</th>\n",
       "      <th>Kerugian</th>\n",
       "      <th>Keterangan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107.617</td>\n",
       "      <td>-6.81108</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...</td>\n",
       "      <td>Penduduk di 16 kecamatan terdampak</td>\n",
       "      <td>Dalam proses pendataan</td>\n",
       "      <td>Kronologis : - Musim Kemarau Upaya : - Bupati ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Kekeringan</td>\n",
       "      <td>9/16/2013</td>\n",
       "      <td>NaN</td>\n",
       "      <td>108.350</td>\n",
       "      <td>-7.33333</td>\n",
       "      <td>Provinsi Jawa Barat Kab. Ciamis</td>\n",
       "      <td>Pendataan</td>\n",
       "      <td>Sawah mengalami gagal panen</td>\n",
       "      <td>Kronologis : - Disebabkan oleh Musim Kemarau U...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    No     Bencana    Tanggal  Jam    Bujur   Lintang   \\\n",
       "9    10  Kekeringan  9/16/2013  NaN  107.617  -6.81108   \n",
       "10   11  Kekeringan  9/16/2013  NaN  108.350  -7.33333   \n",
       "\n",
       "                                              Lokasi   \\\n",
       "9   Provinsi Jawa Barat Kab. Bandung Barat Kec Lem...   \n",
       "10                    Provinsi Jawa Barat Kab. Ciamis   \n",
       "\n",
       "                               Korban                     Kerugian   \\\n",
       "9   Penduduk di 16 kecamatan terdampak       Dalam proses pendataan   \n",
       "10                           Pendataan  Sawah mengalami gagal panen   \n",
       "\n",
       "                                          Keterangan   \n",
       "9   Kronologis : - Musim Kemarau Upaya : - Bupati ...  \n",
       "10  Kronologis : - Disebabkan oleh Musim Kemarau U...  "
      ]
     },
     "execution_count": 343,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_kekeringan.loc[(data_kekeringan['Tanggal '] =='9/16/2013') | (data_kekeringan['Korban ']=='Pendataan')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.4 Contoh Data Lain yang memiliki Kolom Numerik"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pangan = pd.read_csv('jumlah-usaha-pertanian-per-provinsi-per-usaha-2003-2013.csv', delimiter = ',', encoding = \"utf-8\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "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>kode_provinsi</th>\n",
       "      <th>nama_provinsi</th>\n",
       "      <th>bentuk_usaha</th>\n",
       "      <th>tahun</th>\n",
       "      <th>jumlah</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>699370.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>644851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>111.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   kode_provinsi                   nama_provinsi  bentuk_usaha  tahun  \\\n",
       "0           11.0  Prov. Nanggroe Aceh Darussalam  Rumah Tangga   2003   \n",
       "1           11.0  Prov. Nanggroe Aceh Darussalam   Badan Hukum   2003   \n",
       "2           11.0  Prov. Nanggroe Aceh Darussalam  Rumah Tangga   2013   \n",
       "3           11.0  Prov. Nanggroe Aceh Darussalam   Badan Hukum   2013   \n",
       "4           11.0  Prov. Nanggroe Aceh Darussalam       Lainnya   2013   \n",
       "\n",
       "     jumlah  \n",
       "0  699370.0  \n",
       "1     131.0  \n",
       "2  644851.0  \n",
       "3     100.0  \n",
       "4     111.0  "
      ]
     },
     "execution_count": 345,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pangan.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pangan.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pangan.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.5 Statistik Sederhana"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_pangan.kode_provinsi.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "57381750.0 6.0 6314370.0\n"
     ]
    }
   ],
   "source": [
    "s = data_pangan.jumlah.sum()\n",
    "mi = data_pangan.jumlah.min()\n",
    "ma = data_pangan.jumlah.max()\n",
    "\n",
    "print(s,mi,ma)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "339536.982249 242.0\n"
     ]
    }
   ],
   "source": [
    "me = data_pangan.jumlah.mean()\n",
    "md = data_pangan.jumlah.median()\n",
    "\n",
    "print(me,md)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.6 Grouping \n",
    "\n",
    "http://pbpython.com/images/groupby-example.png"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 348,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tahun\n",
       "2003    459355.794118\n",
       "2013    258866.891089\n",
       "Name: jumlah, dtype: float64"
      ]
     },
     "execution_count": 348,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pangan.groupby('tahun').mean()['jumlah']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 350,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "nama_provinsi\n",
       "Prov. Bali                          180236.00\n",
       "Prov. Banten                        298219.20\n",
       "Prov. Bengkulu                      111669.20\n",
       "Prov. D I Yogyakarta                214171.00\n",
       "Prov. DKI Jakarta                    12995.40\n",
       "Prov. Gorontalo                      51137.80\n",
       "Prov. Jambi                         169379.00\n",
       "Prov. Jawa Barat                   1481023.20\n",
       "Prov. Jawa Tengah                  2012493.20\n",
       "Prov. Jawa Timur                   2258974.80\n",
       "Prov. Kalimantan Barat              248578.20\n",
       "Prov. Kalimantan Selatan            180931.80\n",
       "Prov. Kalimantan Tengah             114763.40\n",
       "Prov. Kalimantan Timur               76832.60\n",
       "Prov. Kalimantan Utara               20937.25\n",
       "Prov. Kepulauan Bangka Belitung      52889.80\n",
       "Prov. Kepulauan Riau                 28847.40\n",
       "Prov. Lampung                       503997.80\n",
       "Prov. Maluku                         72016.40\n",
       "Prov. Maluku Utara                   51917.80\n",
       "Prov. Nanggroe Aceh Darussalam      268912.60\n",
       "Prov. Nusa Tenggara Barat           264140.80\n",
       "Prov. Nusa Tenggara Timur           301781.80\n",
       "Prov. Papua                         143855.00\n",
       "Prov. Papua Barat                    29223.20\n",
       "Prov. Riau                          224620.80\n",
       "Prov. Sulawesi Barat                 70600.00\n",
       "Prov. Sulawesi Selatan              412708.20\n",
       "Prov. Sulawesi Tengah               159750.60\n",
       "Prov. Sulawesi Tenggara             126068.60\n",
       "Prov. Sulawesi Utara                115657.00\n",
       "Prov. Sumatera Barat                270884.80\n",
       "Prov. Sumatera Selatan              386104.80\n",
       "Prov. Sumatera Utara                564218.00\n",
       "Name: jumlah, dtype: float64"
      ]
     },
     "execution_count": 350,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pangan.groupby('nama_provinsi').mean()['jumlah']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 351,
   "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>kode_provinsi</th>\n",
       "      <th>nama_provinsi</th>\n",
       "      <th>bentuk_usaha</th>\n",
       "      <th>tahun</th>\n",
       "      <th>jumlah</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Prov. Kepulauan Riau</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Prov. Kepulauan Riau</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>76.0</td>\n",
       "      <td>Prov. Sulawesi Barat</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>94.0</td>\n",
       "      <td>Prov. Papua</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>74.0</td>\n",
       "      <td>Prov. Sulawesi Tenggara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>76.0</td>\n",
       "      <td>Prov. Sulawesi Barat</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>74.0</td>\n",
       "      <td>Prov. Sulawesi Tenggara</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>34.0</td>\n",
       "      <td>Prov. D I Yogyakarta</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>82.0</td>\n",
       "      <td>Prov. Maluku Utara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>82.0</td>\n",
       "      <td>Prov. Maluku Utara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>75.0</td>\n",
       "      <td>Prov. Gorontalo</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>76.0</td>\n",
       "      <td>Prov. Sulawesi Barat</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>75.0</td>\n",
       "      <td>Prov. Gorontalo</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>31.0</td>\n",
       "      <td>Prov. DKI Jakarta</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Prov. Kalimantan Utara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>28.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>91.0</td>\n",
       "      <td>Prov. Papua Barat</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>31.0</td>\n",
       "      <td>Prov. DKI Jakarta</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>91.0</td>\n",
       "      <td>Prov. Papua Barat</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>74.0</td>\n",
       "      <td>Prov. Sulawesi Tenggara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>32.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>53.0</td>\n",
       "      <td>Prov. Nusa Tenggara Timur</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>21.0</td>\n",
       "      <td>Prov. Kepulauan Riau</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>53.0</td>\n",
       "      <td>Prov. Nusa Tenggara Timur</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>37.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>64.0</td>\n",
       "      <td>Prov. Kalimantan Timur</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Prov. Kalimantan Utara</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>38.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>91.0</td>\n",
       "      <td>Prov. Papua Barat</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2013</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>17.0</td>\n",
       "      <td>Prov. Bengkulu</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>75.0</td>\n",
       "      <td>Prov. Gorontalo</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>19.0</td>\n",
       "      <td>Prov. Kepulauan Bangka Belitung</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>43.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>34.0</td>\n",
       "      <td>Prov. D I Yogyakarta</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>44.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>94.0</td>\n",
       "      <td>Prov. Papua</td>\n",
       "      <td>Badan Hukum</td>\n",
       "      <td>2003</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>14.0</td>\n",
       "      <td>Prov. Riau</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>541050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>34.0</td>\n",
       "      <td>Prov. D I Yogyakarta</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>574920.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>14.0</td>\n",
       "      <td>Prov. Riau</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>581517.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>36.0</td>\n",
       "      <td>Prov. Banten</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>592841.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>52.0</td>\n",
       "      <td>Prov. Nusa Tenggara Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>600613.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>61.0</td>\n",
       "      <td>Prov. Kalimantan Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>614738.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>61.0</td>\n",
       "      <td>Prov. Kalimantan Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>627638.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Prov. Sumatera Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>644610.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>644851.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>Prov. Nanggroe Aceh Darussalam</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>699370.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>13.0</td>\n",
       "      <td>Prov. Sumatera Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>709351.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>52.0</td>\n",
       "      <td>Prov. Nusa Tenggara Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>719875.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>53.0</td>\n",
       "      <td>Prov. Nusa Tenggara Timur</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>729483.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>53.0</td>\n",
       "      <td>Prov. Nusa Tenggara Timur</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>778854.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>36.0</td>\n",
       "      <td>Prov. Banten</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>898021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Prov. Sumatera Selatan</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>958724.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>16.0</td>\n",
       "      <td>Prov. Sumatera Selatan</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>971458.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>73.0</td>\n",
       "      <td>Prov. Sulawesi Selatan</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>980946.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>73.0</td>\n",
       "      <td>Prov. Sulawesi Selatan</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>1082251.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>18.0</td>\n",
       "      <td>Prov. Lampung</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>1226455.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>18.0</td>\n",
       "      <td>Prov. Lampung</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>1293192.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>12.0</td>\n",
       "      <td>Prov. Sumatera Utara</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>1327759.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>12.0</td>\n",
       "      <td>Prov. Sumatera Utara</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>1492104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>32.0</td>\n",
       "      <td>Prov. Jawa Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>3058612.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>33.0</td>\n",
       "      <td>Prov. Jawa Tengah</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>4290619.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>32.0</td>\n",
       "      <td>Prov. Jawa Barat</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>4345148.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>35.0</td>\n",
       "      <td>Prov. Jawa Timur</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2013</td>\n",
       "      <td>4978358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>33.0</td>\n",
       "      <td>Prov. Jawa Tengah</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>5770801.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>35.0</td>\n",
       "      <td>Prov. Jawa Timur</td>\n",
       "      <td>Rumah Tangga</td>\n",
       "      <td>2003</td>\n",
       "      <td>6314370.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Prov. Kalimantan Utara</td>\n",
       "      <td>Lainnya</td>\n",
       "      <td>2013</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>170 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     kode_provinsi                    nama_provinsi  bentuk_usaha  tahun  \\\n",
       "46            21.0             Prov. Kepulauan Riau   Badan Hukum   2003   \n",
       "49            21.0             Prov. Kepulauan Riau       Lainnya   2013   \n",
       "143           76.0             Prov. Sulawesi Barat   Badan Hukum   2013   \n",
       "164           94.0                      Prov. Papua       Lainnya   2013   \n",
       "131           74.0          Prov. Sulawesi Tenggara   Badan Hukum   2003   \n",
       "141           76.0             Prov. Sulawesi Barat   Badan Hukum   2003   \n",
       "134           74.0          Prov. Sulawesi Tenggara       Lainnya   2013   \n",
       "68            34.0             Prov. D I Yogyakarta   Badan Hukum   2013   \n",
       "153           82.0               Prov. Maluku Utara   Badan Hukum   2013   \n",
       "151           82.0               Prov. Maluku Utara   Badan Hukum   2003   \n",
       "139           75.0                  Prov. Gorontalo       Lainnya   2013   \n",
       "144           76.0             Prov. Sulawesi Barat       Lainnya   2013   \n",
       "138           75.0                  Prov. Gorontalo   Badan Hukum   2013   \n",
       "54            31.0                Prov. DKI Jakarta       Lainnya   2013   \n",
       "168            NaN           Prov. Kalimantan Utara   Badan Hukum   2013   \n",
       "159           91.0                Prov. Papua Barat       Lainnya   2013   \n",
       "53            31.0                Prov. DKI Jakarta   Badan Hukum   2013   \n",
       "156           91.0                Prov. Papua Barat   Badan Hukum   2003   \n",
       "133           74.0          Prov. Sulawesi Tenggara   Badan Hukum   2013   \n",
       "91            53.0        Prov. Nusa Tenggara Timur   Badan Hukum   2003   \n",
       "48            21.0             Prov. Kepulauan Riau   Badan Hukum   2013   \n",
       "93            53.0        Prov. Nusa Tenggara Timur   Badan Hukum   2013   \n",
       "114           64.0           Prov. Kalimantan Timur       Lainnya   2013   \n",
       "166            NaN           Prov. Kalimantan Utara   Badan Hukum   2003   \n",
       "158           91.0                Prov. Papua Barat   Badan Hukum   2013   \n",
       "31            17.0                   Prov. Bengkulu   Badan Hukum   2003   \n",
       "136           75.0                  Prov. Gorontalo   Badan Hukum   2003   \n",
       "41            19.0  Prov. Kepulauan Bangka Belitung   Badan Hukum   2003   \n",
       "66            34.0             Prov. D I Yogyakarta   Badan Hukum   2003   \n",
       "161           94.0                      Prov. Papua   Badan Hukum   2003   \n",
       "..             ...                              ...           ...    ...   \n",
       "15            14.0                       Prov. Riau  Rumah Tangga   2003   \n",
       "65            34.0             Prov. D I Yogyakarta  Rumah Tangga   2003   \n",
       "17            14.0                       Prov. Riau  Rumah Tangga   2013   \n",
       "77            36.0                     Prov. Banten  Rumah Tangga   2013   \n",
       "87            52.0        Prov. Nusa Tenggara Barat  Rumah Tangga   2013   \n",
       "95            61.0           Prov. Kalimantan Barat  Rumah Tangga   2003   \n",
       "97            61.0           Prov. Kalimantan Barat  Rumah Tangga   2013   \n",
       "12            13.0             Prov. Sumatera Barat  Rumah Tangga   2013   \n",
       "2             11.0   Prov. Nanggroe Aceh Darussalam  Rumah Tangga   2013   \n",
       "0             11.0   Prov. Nanggroe Aceh Darussalam  Rumah Tangga   2003   \n",
       "10            13.0             Prov. Sumatera Barat  Rumah Tangga   2003   \n",
       "85            52.0        Prov. Nusa Tenggara Barat  Rumah Tangga   2003   \n",
       "90            53.0        Prov. Nusa Tenggara Timur  Rumah Tangga   2003   \n",
       "92            53.0        Prov. Nusa Tenggara Timur  Rumah Tangga   2013   \n",
       "75            36.0                     Prov. Banten  Rumah Tangga   2003   \n",
       "27            16.0           Prov. Sumatera Selatan  Rumah Tangga   2013   \n",
       "25            16.0           Prov. Sumatera Selatan  Rumah Tangga   2003   \n",
       "127           73.0           Prov. Sulawesi Selatan  Rumah Tangga   2013   \n",
       "125           73.0           Prov. Sulawesi Selatan  Rumah Tangga   2003   \n",
       "37            18.0                    Prov. Lampung  Rumah Tangga   2013   \n",
       "35            18.0                    Prov. Lampung  Rumah Tangga   2003   \n",
       "7             12.0             Prov. Sumatera Utara  Rumah Tangga   2013   \n",
       "5             12.0             Prov. Sumatera Utara  Rumah Tangga   2003   \n",
       "57            32.0                 Prov. Jawa Barat  Rumah Tangga   2013   \n",
       "62            33.0                Prov. Jawa Tengah  Rumah Tangga   2013   \n",
       "55            32.0                 Prov. Jawa Barat  Rumah Tangga   2003   \n",
       "72            35.0                 Prov. Jawa Timur  Rumah Tangga   2013   \n",
       "60            33.0                Prov. Jawa Tengah  Rumah Tangga   2003   \n",
       "70            35.0                 Prov. Jawa Timur  Rumah Tangga   2003   \n",
       "169            NaN           Prov. Kalimantan Utara       Lainnya   2013   \n",
       "\n",
       "        jumlah  \n",
       "46         6.0  \n",
       "49        10.0  \n",
       "143       14.0  \n",
       "164       15.0  \n",
       "131       18.0  \n",
       "141       18.0  \n",
       "134       20.0  \n",
       "68        20.0  \n",
       "153       20.0  \n",
       "151       21.0  \n",
       "139       23.0  \n",
       "144       23.0  \n",
       "138       26.0  \n",
       "54        28.0  \n",
       "168       28.0  \n",
       "159       30.0  \n",
       "53        31.0  \n",
       "156       32.0  \n",
       "133       32.0  \n",
       "91        35.0  \n",
       "48        35.0  \n",
       "93        37.0  \n",
       "114       38.0  \n",
       "166       38.0  \n",
       "158       41.0  \n",
       "31        41.0  \n",
       "136       42.0  \n",
       "41        43.0  \n",
       "66        44.0  \n",
       "161       46.0  \n",
       "..         ...  \n",
       "15    541050.0  \n",
       "65    574920.0  \n",
       "17    581517.0  \n",
       "77    592841.0  \n",
       "87    600613.0  \n",
       "95    614738.0  \n",
       "97    627638.0  \n",
       "12    644610.0  \n",
       "2     644851.0  \n",
       "0     699370.0  \n",
       "10    709351.0  \n",
       "85    719875.0  \n",
       "90    729483.0  \n",
       "92    778854.0  \n",
       "75    898021.0  \n",
       "27    958724.0  \n",
       "25    971458.0  \n",
       "127   980946.0  \n",
       "125  1082251.0  \n",
       "37   1226455.0  \n",
       "35   1293192.0  \n",
       "7    1327759.0  \n",
       "5    1492104.0  \n",
       "57   3058612.0  \n",
       "62   4290619.0  \n",
       "55   4345148.0  \n",
       "72   4978358.0  \n",
       "60   5770801.0  \n",
       "70   6314370.0  \n",
       "169        NaN  \n",
       "\n",
       "[170 rows x 5 columns]"
      ]
     },
     "execution_count": 351,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pangan.sort_values('jumlah')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 355,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>tahun</th>\n",
       "      <th>jumlah</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kode_provinsi</th>\n",
       "      <th>bentuk_usaha</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">11.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>115.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>111.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>672110.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">12.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>437.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>352.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>1409931.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">13.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>293.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>676980.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">14.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>217.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>102.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>561283.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">15.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>423287.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">16.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>148.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>965091.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">17.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>59.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>128.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>279050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">18.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>107.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>127.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>1259823.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">19.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>49.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>66.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>132142.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">21.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>20.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>72093.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">71.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>70.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>267.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>288938.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">72.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>399256.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">73.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>107.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>129.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>1031598.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">74.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>315136.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">75.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>127799.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">76.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>176472.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">81.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>235.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>179869.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">82.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>20.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>129739.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">91.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>36.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>73006.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">94.0</th>\n",
       "      <th>Badan Hukum</th>\n",
       "      <td>2008</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lainnya</th>\n",
       "      <td>2013</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rumah Tangga</th>\n",
       "      <td>2008</td>\n",
       "      <td>359580.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>99 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            tahun     jumlah\n",
       "kode_provinsi bentuk_usaha                  \n",
       "11.0          Badan Hukum    2008      115.5\n",
       "              Lainnya        2013      111.0\n",
       "              Rumah Tangga   2008   672110.5\n",
       "12.0          Badan Hukum    2008      437.5\n",
       "              Lainnya        2013      352.0\n",
       "              Rumah Tangga   2008  1409931.5\n",
       "13.0          Badan Hukum    2008       85.0\n",
       "              Lainnya        2013      293.0\n",
       "              Rumah Tangga   2008   676980.5\n",
       "14.0          Badan Hukum    2008      217.5\n",
       "              Lainnya        2013      102.0\n",
       "              Rumah Tangga   2008   561283.5\n",
       "15.0          Badan Hukum    2008      100.0\n",
       "              Lainnya        2013      120.0\n",
       "              Rumah Tangga   2008   423287.5\n",
       "16.0          Badan Hukum    2008      148.0\n",
       "              Lainnya        2013       46.0\n",
       "              Rumah Tangga   2008   965091.0\n",
       "17.0          Badan Hukum    2008       59.0\n",
       "              Lainnya        2013      128.0\n",
       "              Rumah Tangga   2008   279050.0\n",
       "18.0          Badan Hukum    2008      107.5\n",
       "              Lainnya        2013      127.0\n",
       "              Rumah Tangga   2008  1259823.5\n",
       "19.0          Badan Hukum    2008       49.0\n",
       "              Lainnya        2013       66.0\n",
       "              Rumah Tangga   2008   132142.5\n",
       "21.0          Badan Hukum    2008       20.5\n",
       "              Lainnya        2013       10.0\n",
       "              Rumah Tangga   2008    72093.0\n",
       "...                           ...        ...\n",
       "71.0          Badan Hukum    2008       70.5\n",
       "              Lainnya        2013      267.0\n",
       "              Rumah Tangga   2008   288938.5\n",
       "72.0          Badan Hukum    2008       54.5\n",
       "              Lainnya        2013      131.0\n",
       "              Rumah Tangga   2008   399256.5\n",
       "73.0          Badan Hukum    2008      107.5\n",
       "              Lainnya        2013      129.0\n",
       "              Rumah Tangga   2008  1031598.5\n",
       "74.0          Badan Hukum    2008       25.0\n",
       "              Lainnya        2013       20.0\n",
       "              Rumah Tangga   2008   315136.5\n",
       "75.0          Badan Hukum    2008       34.0\n",
       "              Lainnya        2013       23.0\n",
       "              Rumah Tangga   2008   127799.0\n",
       "76.0          Badan Hukum    2008       16.0\n",
       "              Lainnya        2013       23.0\n",
       "              Rumah Tangga   2008   176472.5\n",
       "81.0          Badan Hukum    2008       54.5\n",
       "              Lainnya        2013      235.0\n",
       "              Rumah Tangga   2008   179869.0\n",
       "82.0          Badan Hukum    2008       20.5\n",
       "              Lainnya        2013       69.0\n",
       "              Rumah Tangga   2008   129739.5\n",
       "91.0          Badan Hukum    2008       36.5\n",
       "              Lainnya        2013       30.0\n",
       "              Rumah Tangga   2008    73006.5\n",
       "94.0          Badan Hukum    2008       50.0\n",
       "              Lainnya        2013       15.0\n",
       "              Rumah Tangga   2008   359580.0\n",
       "\n",
       "[99 rows x 2 columns]"
      ]
     },
     "execution_count": 355,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_pangan.groupby(['kode_provinsi','bentuk_usaha']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5.7 Visualisasi Sederhana\n",
    "Panda menyediakan fungsi untuk melakukan visualisasi sederhana, namun jika menginginkan yang lebih lengkap, bisa melihat di library matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0,0.5,'Jumlah')"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x1080 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = data_pangan.groupby(('nama_provinsi')).mean()['jumlah']\n",
    "ax = ax.plot(kind='bar', title =\"Rata-Rata Berdasarkan Tahun\", figsize=(15,15), legend=True, fontsize=12)\n",
    "ax.set_xlabel(\"Tahun\", fontsize=12)\n",
    "ax.set_ylabel(\"Jumlah\", fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Projects\n",
    "\n",
    "Temukan data yang menurut kalian menarik pada http://data.go.id . Buat analisa data yang berisi:\n",
    "1. Deskripsi Data\n",
    "2. Statistik tentang data\n",
    "3. Visualisasi sederhana\n",
    "4. Narasi analisis\n",
    "\n",
    "Buat dalam sebuah Notebook dengan judul Analisa Data X, dimana X adalah Deskripsi Data yang dianalisa. Submit link menuju notebooknya di elisa."
   ]
  },
  {
   "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}