{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# \"Lulusnya Jadi Dua Kali Lebih Lama!\"\n",
    "> \"Alasan mengapa diagram batang harus dimulai dari nol\"\n",
    "\n",
    "- toc: false\n",
    "- branch: master\n",
    "- badges: true\n",
    "- comments: true\n",
    "- author: Ali Akbar\n",
    "- categories: [statis]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Diagram batang](http://www.ee.ui.ac.id/web/komputer/wp-content/uploads/sites/2/2018/10/Length-of-Study.png \"Sumber: http://www.ee.ui.ac.id/web/komputer/id/fakta-dan-infografis/\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Sebetulnya dari situs yang menyediakan infografik di atas ada beberapa poin yang bisa dibahas, salah satunya adalah penggunaan [*pie chart*](https://grafik.tentangdata.com/statis/2020/06/05/Mari-Berkontribusi-untuk-Masyarakat.html). Namun, supaya tidak bosan, fokus tulisan kali ini adalah ke dua diagram batang di atas.\n",
    "\n",
    "Di pos-pos sebelumnya{% fn 1 %} lebih banyak dibahas tentang inkonsistensi dari panjang batangnya. Karena grafik di atas kelihatannya dibuat dengan *software* pengolah data, jadi kelihatannya tidak ada kesalahan dari konsistensinya. Masalah yang mau disorot kali ini adalah fakta bahwa diagram batang di atas sumbu y-nya tidak dimulai dari nol.\n",
    "\n",
    "Mengapa ini jadi penting?\n",
    "\n",
    "Pada dasarnya, manusia itu menggunakan perbandingan panjang batang tersebut sebagai persepsi proporsi. Ketika tidak dimulai dari nol, selisih panjangnya jadi sangat dipengaruhi oleh titik awalnya. Kalau grafik di atas dilihat sekilas, kesannya dari 2013/2014 term 1 ke 2013/2014 term 2 rata-rata waktu studinya naik lebih dari dua kali lipat!\n",
    "\n",
    "Sebagai perbandingan, mari perhatikan grafik di bawah yang dimulai dari nol."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ZvSnZ2+BhTFb9S93uE6ddO6ognekSfVP/VHN9/cx79Clg/03399U5l3hVw8tb4N\nPUMPvTj9MOVwdrAVU4w+7tj/zVu6tRGNDrhk/bO3dvLvv69787umMNpaMeXtzHuY32p5epNz\nOTrgkilmdz3bO7itaF26w9PXgKK48QP/SY0X1Myl3j8UWi9Rs/1Th8WuuXV/6znc+9Jrdf0b\n3tVuZWX6Uczh7GArphhd0bVUqT3ebTyjAy5Z/+wv1BObFixK+1mmhjnaWjHV7Uzr6r2vbESj\nAy6ZYva4li/+8HbXE9Ienr4GFMWId3fuvWme8n9TcJV6wD8hds39Sal91mv94SH1b/h+6VM6\ngyjmenaqFVOMri7b9bW183bvsr5xjU65ZIrZi9RV7ZTq+GKTGB1fMdXtzDOt7beZTM7l6JRL\nppx9nFJqz6rMhqelYUVx7WXF+y7Xc2uukMn+SbFrbvXcuzr236hvnljvhhsqvPvYmYUph7NT\nr5hi9Nal/q3qryrBn4BouKMDLJli9suq1Z/WLju01YqmMDq+YorRnuoe16Q9N7ejAyyZavYV\nrW986a5OP82v5xS1nte17e83xe40L1Oz/NPMPyf+f7un9EHL6t3wxubTZs06ts2stxvT7AAr\nphgdtbFZ2rfXHI4OsmSK2W+rG73Dz9R9TWF0fMXU1/jLBZ+lOze3o4MsmWL2W5GXov+hHstk\nfHoaUhRfKT5itf91beHvvMNnVOR5qsgV8nQ//wntFerBr/rUv2Flpm+kyuHsACumGv3JFP/R\n6zp1T+MZHWTJVLM/V497h1sKr28Ko82KqUZ7fj44zbE5Hh1kyVSzn1BL/R+y2dWZzE9PA4ri\n1l2PqvnklyH7e0dO7RH5LnKFLFAzvcNH1dsPXV7/hhEZPITN4ewgK6Ya/UnkYcYjBYn+iFPD\nHB1oyZTX+D7+y18vquebwmizYurb2fri29Mbm+PRgZZMNXtx5F75PPVkBvPT1ICiOF+dfrtv\nkX6t+PSXxxQ8HDk1es0d2uaGmVe1GKqHzU+xoS+DKOZwdpAVU44+ueyqGWNLf914RgdaMuXs\nPzcb/vhN2w9O/ilqjWl0bMXUt7Pn1IL0xuZ4dKAlU87+RdmYmTe0G5BfzylOqXnE5v278fKP\nW+1X8ys+0StkzXldy/a89ocNXbem2NCXQRRzODvAiqlHfz+ma9neE9N9t2AORwdZMsA1Puvg\nlj0u+75pjK5ZMcDoC8sT/DXbBjw6yJKpZ1fd2Ke8+0XfZDA+XQ0oigCQe0QRACxEEQAsRBEA\nLEQRACxEEQAsRBEALEQRACxNIorxTxUJV/wDJXIhV3udp7ud273O093OzV434CieOyDghvFP\nFQl5tPlAifBHS+x1nu52Dvc6T3c7l7fxIBpTFD9dk2iz2h/2EOpo84ES4Y+W2Os83e0c7nWe\n7nYub+NBNNwoHqCUmq/17INbdh1bpXXvSSPVdF3xhxt77XjOpmt6tDox9umStT7sIdTR5gMl\nwh8tsdd5uts53Os83e1c3sYDabhRXDG84uMN+tGC06aNKzvGu+r2GHD/f3VF10kbXirseuMP\n85T1l+yGOb7qAo42HygR/mif673O093O4V7n6W7n8jYeSMONYuRO9saO/kd4TVcLdO9O3j8q\nuuJQ76Cff++77y/jWzq/6oKPjnygRG5Gu7/B5Odu53Cv83S3c3kbD6KBR3Gxmrl8+fKPCqfp\n3iP80ypGeQcDf+UdHGH9gWuRG0yg0dEPlMjJaKEo5t9u53Cv83S3c3kbD6KBR3F2zd9Xm6B7\nX+KfVnGRdzDQ/4um4jeYIKNrPlAiF6Oloph/u53Dvc7T3c7lbTyIBh7FN9XCmu96V/qHId5g\nAoyOfaBEDkZrqSjm327ncK/zdLdzeRsPooFH8bsW471j7w1cEv4NJvXo+AdKhD7aJxPF/Nvt\nHO51nu52Lm/jQTTgKP62/avf6FsKRz15Q+fBIf97Emx0/AMlQh/tc3+Dyc/dzuFe5+lu5/I2\nHkQDjuLCPcvf0vrh/s27Vq4N+aoLNtr6QImwR/vc32Dyc7dzuNd5utu5vI0H0YCjCADhI4oA\nYCGKAGAhigBgIYoAYCGKAGAhigBgIYoAYCGKAGAhigBgIYoAYCGKAGAhigBgIYoAYCGKAGAh\nigBgIYoAYCGKAGAhigBgIYoAYCGKAGAhigBgIYoAYCGKAGAhigBgIYoAYCGKAGAhigjBByN3\nKen+i0XJzv5YzQvzpwHqQxQhb2pRh3Mmje1S8FiS8+uJojpc6GcCkiCKEPdZyU/+532pOrz4\n08QbJI7iuQO8g8GXCv5gQEDEYwYAACAASURBVAJEEeKGN/8i8vXjspsjXz9ds80G9UQxU3Vm\nAAERRUjbWnKe9V3vSSPVdF112a4lnc7wwlV1aff2x73hRbH9RO/Mx1SVOesApdR83bvSO/nu\nfVvsfeNW77K3P/ajFgctiC50Vasq7/DIA7SefXDLrmO9b8yi0RlARogipH2iJlvf9d5jwP3/\n1ReXXPLYuFanaj2k6JIpJ7a1oxg7a8Xwio83RKI4vuDcxyuLzvIu++NRa74ctEt0oQ/Vs1qv\nKpqsHy04bdq4smN0fNHoDCAjRBHSXlNPeYfzvDt+qp8XrE7+HbyT/AfSF/fSf1N3e0dOsKMY\nOyv68NmL4qpS/3nFWwv/rXt336L10+rL6Lp7jtR6UvGajR3P9r6ZrhbELxmdAWSEKELaZ+pO\n7/DLKVOm/MyP4oiak9c8v0d3fVuhn6+/2FGMnWWiOEct9i+vHte9f+UdeUWtjC5wbZtN+oDj\n9WI1c/ny5R8VTotf0swA0kcUIW1r6a9rjg3zo3iJf2zJsZ3LDurbXVfu5H/3fiyKU70oxs4y\nUZyiVvsbFd2ie/t3GU0Ul6gXPlGz9GwVNSF+yegMICNEEeKOL/088vW7Hfrp6Csn61sO+esm\nfUV3fUfhRu/bl2NRvFVVmbOse4rve0dWqanRy5oo6r3OvK7dJv2mWhj9Nn7JyHZAZogixH20\n3aDI+xSHq1gU5yr/t1t+0l2/re71jpziRXGny70jh6gqc5aJ4lclo70jtxUs2TaK17freYGX\n2hbjvePvDVwSvyRRRBaIIuRNLe943uRxvXa7IBbFlcXHP//cce1LZ+hh2415fES3ZvP0ka0e\nemVEX1UVP+u37V/9JrL52ILfzhxTdIbeNorLlPLfnnNL4agnb+g82FqUKCILRBEh+GDEHq0O\nGf/t4lGxe3Gz9izvd/vqow7XGyu7tz3m88Pe0/85quXulYsHb4qftXDP8rcim1ff2a95xQ1b\n6kRR79k78uXh/s27Vq61FiWKyAJRRKO1vsVNuf4R0AQRRTRSW7+/snRFrn8INEFEEY3USqV+\nn+ufAU0RUUQjtfn5Jbn+EdAkEUUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCw\nEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBF\nALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCw\nEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRQCwEEUAsBBF\nALAQRQCwEEUAsBBFALAQRQCwEEUAsBBFALAQRaTheqXUP52uuPCsHuU7HXz5Vyk221l1zmx9\npQYnmzZBRexw8EPVke/d7xwaJaKINOzpdWOcw/W2VhZEy9T80fo3rC+K05WamPRMO4rbTKuJ\nomdE5GzXO4dGiigiuPf9gvRwuOCl3nq9Thmxm1Lb/bXeDTOOYpk6Ktk0L4oDx4+/dKB36uta\nYOfQSBFFBHeFUq2UWuRsvbe8PN3lfd16udenerfMOIrD1ORk07wojvdP/7lSE7T7nUNjRRQR\nXDdVPlGpsVr/VqmHve8fVKpS68/PqGgx4JK13veDlVp7/c5/1Pqln3Uu6TrUv/+l11/Yu8Pp\n3w7r90ttbxn1S6XOjxypPrD9jqsTX/7rc3rsdMLKSBR7qxb+KUWqn7Y2GbGTUu26b6m1+lvD\nupb1PGWxd+zRwq+STYtF8QGlzrB3DnmOKCKwt5U64YsCtbvW/1DqRB3JzNv679tHnpfb/ZNI\n1MYo9aCeGn2qrtB7kPpNX//YgV38kFlbRmxtq9Rn9oAEl1+xu3+sW8ttoxjf5PDIkS326i80\nixwtetVevM60WBRviXyN7xzyHFFEYJcoNU0fpNS7Wu+qWm3S1e3VbnrL3qrNY/+8rVAdF4la\n8b6nvKJ3VK1v+PMFkXB6ket716XbKS9k9pYRXypVXmtAgsuPUGr/uy8tUttG0dok+vDZXn0v\nVXjnKzeWqQp78TrTolGser2jUjNr7RzyG1FEUNWdVPG32nuIebnWo5Waq99VarSeo9TvvDPP\nUGqpH7XLvOOrjjhiktabi9XeemO5avud1vf7UbS3jFiqonfMTo/cr3tTJ7j8F83UblVa37Ft\nFK1NaqJorb65UHVeofWk03+12frx60yLv/rcZ0utnUN+I4oI6jXlv5L7iVK7ar3Iz9fNSi3U\ndyrVoXv37u2V+rMftZqHxv988KIByrun9i+lfu19u7nMC5m9ZcQXSpVu1bWjuM3l/xp9iLu2\nzj3F+CY1UbRX9+77NTvgmje31vrx60wzUdzzg9o7h/xGFBHUeUodds0117T0n0jUvVQffZjq\nrvVYc3/rd37U1vlbPr2L922rIq9Yzyt1jX9KTy9k9pYRW7dXyuuR/vP48UfHorjN5f+o1D3+\nKa23jWJ8k5oo2qu/0StypPN0+8evMy36lpzxt7y4YdudQ14jigho8w4mO5VaX63Uv0r89zrf\no9SzsU28qK33vvy7WHW4acHmVl6xFij1G/+c1l7I7C2jToq+XqMjb4t5M9HlX1Dqau+U7wui\nUfSfFNzczFvL2qQmirVX//voPfyXYZbVNy32QkvdnUNeI4oI6EWTDdWlWi9R6tjIb8XVPMD9\n9MUXV8Wi9qBSN0XeDF2hvy1QHX/Q+kn/OUV7y6i3vbXGbtF6y03KjqJ1+eVK9dio9b2Rh8/7\nKvW51i/7a1mb+FG8tdbP8c5FF83XetnP/JdOLNtOs6NYe+eQ14giAjpdqYciRyoiSfHfatPL\n+25LhWo17cMnu6ntv4tF7Qml9nzi0R6RYnl3yn50/7iyyKvP1pY1Kr1Fup58+u6qsMiKon35\nYUodfP+Y4kgUvbt6+901ro2/lr2JV9wRm+3VvVb2mPr3Px+k1IJae7DNNDuK2+wc8hlRRDBV\nrVXh6sixK5W6RGv/7tZV/revtYzcwSp52kTtq3aRNwy2UR21/mhH/3irlv7zgNaWNbZeHL13\n1uzefawo2pdf1tE/3qbUj+LfI7+6vI//8Nne5D3vWMEWe/Wzau70HVX7pZZtpllR3HbnkM+I\nIoKZpdRh0WOLvLtt1fpTry4fRr7/9OSepbud7v99mZqo6QU/adnj/O/OrKh4XuuVw7u0H/Lv\n3pFXjONbGm+etktx+yGv62sGfpj48p+P6LbDkGWDKvzhL/yoZa9z1/WtOKH2Jjd2LGq5xV59\ny/TDu5TsuP8dP2y7E7WmWVHcdueQz4giwrBDLDpAQ0cUIWnTzi3avqOrb1bqylz/KEAwRBGi\nbvUeZXfbUam+63P9kwDBEEXImnPcbqUdDrjj+1z/HEBARBEALEQRACxEEQAsRBEALEQRACxE\nEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEA\nLEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQxr2y4anQYxrye6x0FMkYU\nw/f1kzPD8NS6uqOXlg8PQ/8zw79WAUdcRfH5w2P6XeNoySbr7nb9w9BmRt3RS3d8NQyjiCIa\nL1dR/H/mDsrxoxwt2WRNOjKUMh30RN3RRBFIxf3D53HjnC/ZxBBFoAEjiuEjimF74uehOPm7\nXO8oXCCK4SOKYTvz0EvC0HJprncULuQ2iovmhOIT5zuZlTyN4gfh/MdekmD0maNC2e0dE0Tx\n77t3C0PP57K9VcLIbRRb7N4zBLvs73wns5KnUdxt1zD+Y++6W4LROYzi9L3uDcPBd2Z7q4SR\n2yiWzQrjtnpHf+c7mZU8jWKXKWGMntIlwehcRvHAUEYfRRTdIYrhI4qCiCKyRRTDRxQFEUVk\niyiGjygKIooNwmEqFB1Efvi8jeL1ofyqXf8fV9UdTRQFEcUGof8dYez1rDKRHz5vozj01FvD\nULSm7miiKIgoNghEsZbGEsXxYYx+tZgoxhBFQUTRIaIoiygaRFEQUXSIKMoiigZRFJQoiluu\nDuUvCo+eleAaJ4q1EEUbUTSIoqBEUVxTeFYYDh2a4BonirUQRRtRNIiioIRRLA5l9HiimBJR\ntBFFgygKIooOEUVZRNEgioKIokPpR/G92Q9MnrWwOun5RNFGFA2iKIgoOpRuFKf0iv5+Tc9H\nkm1BFG1E0SCKgoiiQ2lGcYoa+uSSVauWPXNqwdQkmxBFG1E0iKIgouhQmlEcMCJ2bHSyv9xK\nFG1E0SCKgoiiQ2lGsdVDsWMvtU6yCVG0EUWDKAoiig6lGcVDjtwUPVI9clCSTYiijSgaRFEQ\nUXQozSjOKdlrwjNvvDH7lv2K5yTZhCjaiKJBFAURRYfSffX59aGF/ovPhUNeS7YFUbQRRYMo\nCiKKDqX/PsV1S+fNXbI2+flE0UYUDaIoiCg6xG+0yCKKBlEURBQdyjiKn31Q69uP7os56rzg\nixBFQUTRIIqCiKJxeO1Lvnp2zD6nBl+EKAoiigZRFEQUjckXJTmDh882omgQRUFE0SGeU5RF\nFA2iKIgoOpR+FDdpXfXUgwuSnk8UbUTRIIqCiKJDaUax6sJWZcPX91dKDduQZBOiaCOKBlEU\nRBQdSjOK1xaedVPPfh3nrHikxXVJNiGKNqJoEEVBRNGhNKPY43Kt56u7vWNXViTZhCjaiKJB\nFAURRYfSjGLZTK2/U3O9YzPLk2xCFG1E0SCKgoiiQ2lGseeV3sGfVnsHE7ol2YQo2oiiQRQF\nEUWH0oziVaXj5/tfv53R5vwkmxBFG1E0iKIgouhQuq8+X1A00P/aTx2W4P/2CKJoI4oGURRE\nFB1K+32KVcv9w6d5n2IwRNEgioKIokP8RossomgQRUFE0SGiKIsoGkRREFF0iCjKIooGURRE\nFB0iirKIokEUBRFFh4iiLKJoEEVBRNEhoiiLKBpEURBRdIgoyiKKBlEURBQdIoqyiKJBFAUR\nRYeIoiyiaBBFQUTRIaIoiygaRFEQUXSIKMoiigZRFEQUHSKKsoiiQRQFEUWHiKIsomgQRUFE\n0SGiKIsoGkRREFF0iCjKIooGURREFB0iirKIokEUBRFFh4iiLKJoEEVBRNEhV1Hc+EnMBWOD\nX4ooCiKKBlEURBSTeWj7mPJjgl+KKAoiigZRFEQUU+Phs40oGkRREFF0iCjKIooGURREFB0i\nirKIokEUBRFFh4iiLKJoEEVBRNEhoiiLKBpEURBRdIgoyiKKBlEURBQdIoqyiKJBFAURRYeI\noiyiaBBFQUTRIaIoiygaRFEQUXSIKMoiigZRFEQUHSKKsoiiQRQFEUWHiKIsomgQRUFE0SGi\nKIsoGkRREFF0iCjKIooGURREFB0iirKIokEUBRFFh4iiLKJoEEVBRNEhoiiLKBpEURBRdIgo\nyiKKBlEURBQdSj+K781+YPKshdVJzyeKNqJoEEVBRNGhdKM4pZeK6PlIsi2Ioo0oGkRREFF0\nKM0oTlFDn1yyatWyZ04tmJpkE6JoI4oGURREFB1KM4oDRsSOjd4/ySZE0UYUDaIoiCg6lGYU\nWz0UO/ZS6ySbEEUbUTSIoiCi6FCaUTzkyE3RI9UjByXZhCjaiKJBFAURRYfSjOKckr0mPPPG\nG7Nv2a94TpJNiKKNKBpEURBRdCjdV59fH1rov/hcOOS1ZFsQRRtRNIiiIKLoUPrvU1y3dN7c\nJWuTn08UbUTRIIqCiKJD/EaLLKJoEEVBRNGhbaP4vwf+L9gFP/sgyRlE0UYUDaIoiCg6VCuK\nX957WKEqCXbBw2vndHr/mA7HBZ9OFAURRYMoCmrKUfzv3YObqTanPLku2AUnX1Tr22/fiTmj\nMvh0oiiIKBpEUVCTjeLKO3/cTO08SG3OfkUePtuIokEUBRFFh6JRPKhAdbt0/tbnUr/ssnnW\nTTMj799edHuSLYiijSgaRFEQUXQomkFVeLn/JpvUUfx6gFJqj/94x25Pti1RtBFFgygKIooO\nRdN2cWdVevyM71NH8fzWz657Yef+m4hiQETRIIqCiKJDNWmr/vvFu6jmA1SC/4Vr2W2Cd/Bu\n8R+IYkBE0SCKgoiiQ/G0RbpY9NN7v6xv8+bT/cPKtquJYjBE0SCKgoiiQ7XSVv0Pr4vN6tt8\n75H+4douR1QTxUCIokEUBRFFh2JpW/W3ZVv8r9X/uKS+zR9UR9+7VutXtzv6dKIYBFE0iKIg\nouhQNG3rT1VK9Xo79ebV93RS/u/3zemqiGIQRNEgioKIokPRtI1WJz18bZvO64Nc4usq/3Dr\nGw8nOZ8o2oiiQRQFEUWHolHsfrx38Iya62JFomgjigZRFEQUHYpGsXCyd/C9muJiRaJoI4oG\nURREFB2q+Y2WKfHDbBFFG1E0iKIgougQUZRFFA2iKIgoOlQTxcnfeqKH32a5IlG0EUWDKAoi\nig7VRNGW5YpE0UYUDaIoiCg6FE3gBFuWKxJFG1E0iKIgougQH1wliygaRFEQUXSIKMoiigZR\nFEQUHYpF8dObte4XMSrLFYmijSgaRFEQUXSoJopTi73l1c+Oba9GLc5yRaJoI4oGURREFB2K\nRnFRwU8/ibxP8dvh3b7LckWiaCOKBlEURBQdikbxxK7+X3nw37y9oefYLFckijaiaBBFQUTR\noWgUu0VCFvmNlrE9s1yRKNqIokEUBRFFh6JRLLnLP5znfxLB3aVZrkgUbUTRIIqCiKJD0Sh2\nOteccE6fLFckijaiaBBFQUTRoWgUT+34v5rvV3UYmeWKRNFGFA2iKIgoOhSN4uKin3wRObLy\nkPIPs1yRKNqIokEUBRFFh2rep/hoSfPzJj9155ml203NbJ23Rscc+KvglyKKgoiiQRQFNdko\n6s9OKlFKlZ7w7wzXWRiP4q+DX4ooCiKKBlEU1HSjqPXWT177bKuDFXn4bCOKBlEURBQd4g9C\nyCKKBlEURBQdIoqyiKJBFAURRYeIoiyiaBBFQUTRIaIoiygaRFEQUXSIKMoiigZRFEQUHSKK\nsoiiQRQFEUWHiKIsomgQRUFE0SGiKIsoGkRREFF0iCjKIooGURREFB0iirKIokEUBRFFh4ii\nLKJoEEVBRNEhoiiLKBpEURBRdIgoyiKKBlEURBQdIoqyiKJBFAURRYeIoiyiaBBFQUTRIaIo\niygaRFEQUXSIKMoiigZRFEQUHUo/iu/NfmDyrIXVSc8nijaiaBBFQUTRoXSjOKWXiuj5SLIt\niKKNKBpEURBRdCjNKE5RQ59csmrVsmdOLUj2sX9E0UYUDaIoiCg6lGYUB4yIHRu9f5JNiKKN\nKBpEURBRdCjNKLZ6KHbspdZJNiGKNqJoEEVBRNGhNKN4yJGbokeqRw5KsglRtBFFgygKIooO\npRnFOSV7TXjmjTdm37Jf8ZwkmxBFG1E0iKIgouhQuq8+vz600H/xuXDIa8m2IIo2omgQRUFE\n0aH036e4bum8uUvWJj+fKNqIokEUBRFFh/iNFllE0SCKgoiiQxlH8bMPan379ZyYUy4NvghR\nFEQUDaIoiCgah9e+5Mz+MR2OD74IURREFA2iKIgoGpMvSnIGD59tRNEgioKIokM8pyiLKBpE\nURBRdIgoyiKKBlEURBQdIoqyiKJBFAURRYeIoiyiaBBFQUTRoTSjeIAlySZE0UYUDaIoiCg6\nlGYUp+6p+gyrkWQTomgjigZRFEQUHUr34fPqsptTbEEUbUTRIIqCiKJDaT+nOJgopoMoGkRR\nEFF0KO0ovvtRig2Ioo0oGkRREFF0iFefZRFFgygKIooOEUVZRNEgioKIokNEURZRNIiiIKLo\nEFGURRQNoiiIKDpEFGURRYMoCiKKDhFFWUTRIIqCiKJDRFEWUTSIoiCi6BBRlEUUDaIoiCg6\nRBRlEUWDKAoiig4RRVlE0SCKgoiiQ0RRFlE0iKIgougQUZRFFA2iKIgoOkQUZRFFgygKIooO\nEUVZRNEgioKIokNEURZRNIiiIKLoEFGURRQNoiiIKDpEFGURRYMoCiKKDhFFWUTRIIqCiKJD\nRFEWUTSIoiCi6JCrKP5x+5jSIcEvRRQFEUWDKAoiisls/jrm0rHBL0UUBRFFgygKIoqp8fDZ\nRhQNoiiIKDpEFGURRYMoCiKKDhFFWUTRIIqCiKJDRFEWUTSIoiCi6BBRlEUUDaIoiCg6RBRl\nEUWDKAoiig4RRVlE0SCKgoiiQ0RRFlE0iKIgougQUZRFFA2iKIgoOkQUZRFFgygKIooOEUVZ\nRNEgioKIokNEURZRNIiiIKLoEFGURRQNoiiIKDpEFGURRYMoCiKKDhFFWUTRIIqCiKJDRFEW\nUTSIoiCi6BBRlEUUDaIoiCg6lH4U35v9wORZC6uTnk8UbUTRIIqCiKJD6UZxSi8V0fORZFsQ\nRRtRNIiiIKLoUJpRnKKGPrlk1aplz5xaMDXJJkTRRhQNoiiIKDqUZhQHjIgdG71/kk2Ioo0o\nGkRREFF0KM0otnooduyl1kk2IYo2omgQRUFE0aE0o3jIkZuiR6pHDkqyCVG0EUWDKAoiig6l\nGcU5JXtNeOaNN2bfsl/xnCSbEEUbUTSIoiCi6FC6rz6/PrTQf/G5cMhrybYgijaiaBBFQUTR\nofTfp7hu6by5S9YmP58o2oiiQRQFEUWH+I0WWUTRIIqCiKJDGUfxsw+SnEEUbUTRIIqCiKJD\nGUfx8NqXfPnnMX1OCb5I+cGDQtBvQILRQ/uEMXpQs6/rjr6rQyij202vO3pZSSijeySKYtf9\nwxi9f9cEo8/sEcboQSXL6o6e0S6U0R0m1R39dbNQRvdJFMUB/cIYfXB5gtHZyziKky+q9e0n\n98Xc/EbwRZ6+LxTzE4xeEM7oGQlGfxHO6IcS9HjzlHBmL0mw2y+GMzrRuyLeD2f0Y5vrjv76\n/lBGP/hFgt2eFsro+xYlGD0vnNHPJhidPffPKQJAI+b+r+QAQCPm/q/kAEAj5v6v5ABAI+b+\nr+RIm35+jgbndnZ+js7T3c7P0TmdbXP/V3IyV/1QvxbdLvBfM31lcOv9H42eOPUA/7Dqmt7l\nPa+v8o+e8lJ9G/pG79yoZgdbsf7R8yLPabRpRKMDLpniGv/vqZ07/KaeX69qTKOtFesdPT/6\nBJY6sfGMDrhkimv8wb2b95qwMd3RGXD/V3Iyd6867YnrWu+3Wb9ecsQfT1ORZy1XV0SukFGl\n42dUFl7oHdvcZWN9G3peaZZBFHM4O9CKKUY/UHTrxIkTE7xXrcGODrZkitlfdq+4+4byk5rG\n6PiK9Y9eOdF3XeEtjWd0sCVTXOOT1NnTxhT/Jt3RGXD/V3Iy1/lo7+BZ9YweupeX3qG9tX73\n0HLlXyFVReO9w7P8O6dzf17fhp7VHXfIIIo5nB1oxRSjL++V/i7ndnSwJVPMHr/DV1qPLUj0\nHr3GNzq+YsrbmefCgVsaz+hgS6aY3ecY7+DSkk3pzk6f+7+Sk7Fv1L3e4Tp107qiCd6RJ9U/\n9Uc339zHv0KWD/Tff31TmXeFXDy1vg09Qw+9OP0w5XB2sBVTjD7u2P/NW7q1EY0OuGT9s7d2\n8u+/r3vzu6Yw2lox5e3Me5jfanl6k3M5OuCSKWZ3Pds7uK1oXbrD0+f+r+RkbOMH/qovqJlL\nvX8otF6iZvunDotdc+v+1nO496XX6vo3vKvdysr0o5jD2cFWTDG6omupUnu823hGB1yy/tlf\nqCc2LViU9rNMDXO0tWKq25nW1Xtf2YhGB1wyxexxLV/84e2uJ6Q9PH0N7Tda3t2596Z5yv9N\nwVXqAf+E2DX3J6X2Wa/1h4fUv+H7pU/pDKKY69mpVkwxurps19fWztu9y/rGNTrlkilmL1JX\ntVOq44tNYnR8xVS3M8+0tt9mMjmXo1MumXL2cd5D1D2rMhueloYVxbWXFe+7XM+tuUIm+yfF\nrrnVc+/q2H+jvnlivRtuqPDuY2cWphzOTr1iitFbl/q3qr+qBH8CouGODrBkitkvq1Z/Wrvs\n0FYrmsLo+IopRnuqe1yT9tzcjg6wZKrZV7S+8aW7Ov20AT6nKGpe17a/3xS707xMzfJPM/+c\n+P/tntIHLat3wxubT5s169g2s95uTLMDrJhidNTGZmnfXnM4OsiSKWa/rW70Dj9T9zWF0fEV\nU1/jLxd8lu7c3I4OsmSK2W9FXor+h3osk/HpaUhRfKX4iNX+17WFv/MOn1GR56kiV8jT/fwn\ntFeoB7/qU/+GlZm+kSqHswOsmGr0J1P8R6/r1D2NZ3SQJVPN/lw97h1uKby+KYw2K6Ya7fn5\n4DTH5nh0kCVTzX5CLfV/yGZXZzI/PQ0oilt3Parmz0wM2d87cmqPyHeRK2SBmukdPqrefujy\n+jeMyOAhbA5nB1kx1ehPIg8zHilI9EecGuboQEumvMb38V/+elE93xRGmxVT387WF9+e3tgc\njw60ZKrZiyP3yuepJzOYn6YGFMX56vTbfYv0a8Wnvzym4OHIqdFr7tA2N8y8qsVQPWx+ig19\nGUQxh7ODrJhy9MllV80YW/rrxjM60JIpZ/+52fDHb9p+cJp/sqmBjo6tmPp29pxakN7YHI8O\ntGTK2b8oGzPzhnYD8us5xSk1j9i8fzde/nGr/Wp+xSd6haw5r2vZntf+sKHr1hQb+jKIYg5n\nB1gx9ejvx3Qt23tiuu8WzOHoIEsGuMZnHdyyx2XfN43RNSsGGH1heYK/ZtuARwdZMvXsqhv7\nlHe/6JsMxqerAUURAHKPKAKAhSgCgIUoAoCFKAKAhSgCgIUoAoCFKAKApUlEMf6pIuGKf6BE\nLuRqr/N0t3O713m627nZ6wYcxXMHBNww/qkiIY82HygR/miJvc7T3c7hXufpbufyNh5EY4ri\np2sSbVb7wx5CHW0+UCL80RJ7nae7ncO9ztPdzuVtPIiGG8UDlFLztZ59cMuuY6u07j1ppJqu\nK/5wY68dz9l0TY9WcRIlCAAABe5JREFUJ8Y+EaHWhz2EOtp8oET4oyX2Ok93O4d7nae7ncvb\neCANN4orhld8vEE/WnDatHFlx3hX3R4D7v+vrug6acNLhV1v/GGesv6S3TDHV13A0eYDJcIf\n7XO913m62znc6zzd7VzexgNpuFGM3Mne2NH/CK/paoHu3cn7R0VXHOod9PPvfff9ZXxL51dd\n8NGRD5TIzWj3N5j83O0c7nWe7nYub+NBNPAoLlYzly9f/lHhNN17hH9axSjvYOCvvIMjrD9w\nLXKDCTQ6+oESORktFMX82+0c7nWe7nYub+NBNPAozq75+2oTdO9L/NMqLvIOBvp/0VT8BhNk\ndM0HSuRitFQU82+3c7jXebrbubyNB9HAo/imWljzXe9K/zDEG0yA0bEPlMjBaC0Vxfzb7Rzu\ndZ7udi5v40E08Ch+12K8d+y9gUvCv8GkHh3/QInQR/tkoph/u53Dvc7T3c7lbTyIBhzF37Z/\n9Rt9S+GoJ2/oPDjkf0+CjY5/oEToo33ubzD5uds53Os83e1c3saDaMBRXLhn+VtaP9y/edfK\ntSFfdcFGWx8oEfZon/sbTH7udg73Ok93O5e38SAacBQBIHxEEQAsRBEALEQRACxEEQAsRBEA\nLEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRACxE\nEQAsRBEALEQRACxEEQAsRBEALEQRACxEEQAsRBEALEQRIfhg5C4l3X+xKNnZH6t5Yf40QH2I\nIuRNLepwzqSxXQoeS3J+PVFUhwv9TEASRBHiPiv5yf+8L1WHF3+aeIPEUTx3gHcw+FLBHwxI\ngChC3PDmX0S+flx2c+Trp2u22aCeKGaqzgwgIKIIaVtLzrO+6z1ppJquqy7btaTTGV64qi7t\n3v64N7wotp/onfmYqjJnHaCUmq97V3on371vi71v3Opd9vbHftTioAXRha5qVeUdHnmA1rMP\nbtl1rPeNWTQ6A8gIUYS0T9Rk67veewy4/7/64pJLHhvX6lSthxRdMuXEtnYUY2etGF7x8YZI\nFMcXnPt4ZdFZ3mV/PGrNl4N2iS70oXpW61VFk/WjBadNG1d2jI4vGp0BZIQoQtpr6invcJ53\nx0/184LVyb+Dd5L/QPriXvpv6m7vyAl2FGNnRR8+e1FcVeo/r3hr4b917+5btH5afRldd8+R\nWk8qXrOx49neN9PVgvglozOAjBBFSPtM3ekdfjllypSf+VEcUXPymuf36K5vK/Tz9Rc7irGz\nTBTnqMX+5dXjuvevvCOvqJXRBa5ts0kfcLxerGYuX778o8Jp8UuaGUD6iCKkbS39dc2xYX4U\nL/GPLTm2c9lBfbvryp38796PRXGqF8XYWSaKU9Rqf6OiW3Rv/y6jieIS9cInapaeraImxC8Z\nnQFkhChC3PGln0e+frdDPx195WR9yyF/3aSv6K7vKNzofftyLIq3qipzlnVP8X3vyCo1NXpZ\nE0W915nXtduk31QLo9/GLxnZDsgMUYS4j7YbFHmf4nAVi+Jc5f92y0+667fVvd6RU7wo7nS5\nd+QQVWXOMlH8qmS0d+S2giXbRvH6dj0v8FLbYrx3/L2BS+KXJIrIAlGEvKnlHc+bPK7XbhfE\noriy+PjnnzuufekMPWy7MY+P6NZsnj6y1UOvjOirquJn/bb9q99ENh9b8NuZY4rO0NtGcZlS\n/ttzbikc9eQNnQdbixJFZIEoIgQfjNij1SHjv108KnYvbtae5f1uX33U4XpjZfe2x3x+2Hv6\nP0e13L1y8eBN8bMW7ln+VmTz6jv7Na+4YUudKOo9e0e+PNy/edfKtdaiRBFZIIpotNa3uCnX\nPwKaIKKIRmrr91eWrsj1D4EmiCiikVqp1O9z/TOgKSKKaKQ2P78k1z8CmiSiCAAWoggAFqII\nABaiCAAWoggAFqIIABaiCAAWoggAFqIIABaiCAAWoggAFqIIABaiCAAWoggAFqIIABaiCAAW\noggAFqIIABaiCAAWoggAFqIIABaiCACW/w94fJdwBfpbvAAAAABJRU5ErkJggg==",
      "text/plain": [
       "Plot with title “Average Graduates' GPA”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 650
      },
      "text/plain": {
       "height": 400,
       "width": 650
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#collapse-hide\n",
    "\n",
    "suppressPackageStartupMessages(library(tidyverse))\n",
    "\n",
    "theme_set(theme_minimal(base_size = 20))\n",
    "\n",
    "# Abaikan kompleksitas kode dalam membuat term-nya, saya sedang latihan R\n",
    "df <- tibble(\n",
    "    term = head(\n",
    "        sort(c(outer(\n",
    "            paste(2013:2017, 2014:2018, sep = \"/\"),\n",
    "            c('term 1', 'term 2'),\n",
    "            FUN = paste,\n",
    "            sep = \"\\n\"\n",
    "        ))),\n",
    "        -1\n",
    "    ),\n",
    "    mean_year = c(4, 4.5, 4.03, 4.06, 4.14, 4.21, 4.03, 4.5, 4.4),\n",
    "    gpa = c(3.41, 3.32, 3.51, 3.53, 3.41, 3.45, 3.42, 3.25, 3.34)\n",
    ")\n",
    "\n",
    "par(mfrow = c(2, 1))\n",
    "with(df, {\n",
    "    barplot(\n",
    "        mean_year ~ term,\n",
    "        main = 'Length of Study',\n",
    "        xlab = 'Graduation year',\n",
    "        ylab = 'Year to graduate'\n",
    "    )\n",
    "    barplot(\n",
    "        gpa ~ term,\n",
    "        main = \"Average Graduates' GPA\",\n",
    "        xlab = \"Graduation year\",\n",
    "        ylab = \"GPA\"\n",
    "    )\n",
    "})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*Malah jadi kurang menarik ya?*\n",
    "\n",
    "Karena memang mahasiswa S1 di Indonesia biasanya lulusnya tidak jauh-jauh dari empat tahun, perbedaannya tidak terlihat begitu signifikan. Grafik di atas sudah benar, tapi jadi kurang *bercerita*. Salah satu solusi untuk data yang ada hubungannya dengan waktu seperti ini adalah dengan menggunakan diagram garis atau *line plot*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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p8lDuOBumtkF0FJ5EGg9h+yi3ANQyhuDfC183+5yBuhqCizGjhp0t/mw4DHZRdB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\nYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 400,
       "width": 650
      },
      "text/plain": {
       "height": 400,
       "width": 650
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#collapse-hide\n",
    "\n",
    "options(repr.plot.width = 13, repr.plot.height = 8, repr.plot.res = 100)\n",
    "\n",
    "df %>%\n",
    "    rename(\n",
    "        GPA = gpa,\n",
    "        `Year to graduate` = mean_year\n",
    "    ) %>%\n",
    "    pivot_longer(-(term)) %>%\n",
    "    ggplot(aes(group = 1)) +\n",
    "    geom_line(aes(x = term, y = value), size = 1) +\n",
    "    labs(x = \"Graduation year\", y = \"\") +\n",
    "    facet_grid(name ~ ., scales = 'free_y') +\n",
    "    theme_classic(base_size = 20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Dengan begini, fluktuasinya jadi lebih terlihat dan orang tidak akan berekspektasi bahwa waktu lulusnya bertambah sampai dua kali lipat. Berdasarkan ilmu dari [sini](https://flowingdata.com/2015/08/31/bar-chart-baselines-start-at-zero/),\n",
    "> Memulai diagram batang dari nol itu adalah aturan, bukan saran.\n",
    "\n",
    "Jadi, daripada mengubah titik awal dari diagram batangnya, lebih baik diubah sekalian jenis diagramnya.\n",
    "\n",
    "Ngomong-ngomong, apakah Anda melihat pola yang lain dari grafik di atas?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "{{ '[Ini](https://grafik.tentangdata.com/statis/2020/05/30/Muslihat-Visualisasi-dan-Politik.html), [ini](https://grafik.tentangdata.com/dinamis/2020/06/03/Lokadata-Rerata-ART.html), dan [ini](https://grafik.tentangdata.com/statis/2020/06/03/Pertumbuhan-Kargo-Domestik-dan-Internasional.html).' | fndetail: 1 }}"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
  },
  "language_info": {
   "codemirror_mode": "r",
   "file_extension": ".r",
   "mimetype": "text/x-r-source",
   "name": "R",
   "pygments_lexer": "r",
   "version": "4.0.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}