{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "import altair as alt\n",
    "import pandas as pd\n",
    "from vega_datasets import data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame({\n",
    "    'Name': ['Big M*c', 'Lg Supreme Pizza', '12\" Veggie Delite', \"500ml Coke\"],\n",
    "    'Calories': [540, 350, 460, 210],\n",
    "    'Fat': [28, 17, 6, 0],\n",
    "    'Sugar': [9, 2, 12, 53]\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "background": "#fff",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-d7a009f4d34c853c57fc55b6505475b6"
       },
       "datasets": {
        "data-d7a009f4d34c853c57fc55b6505475b6": [
         {
          "Calories": 540,
          "Fat": 28,
          "Name": "Big M*c",
          "Sugar": 9
         },
         {
          "Calories": 350,
          "Fat": 17,
          "Name": "Lg Supreme Pizza",
          "Sugar": 2
         },
         {
          "Calories": 460,
          "Fat": 6,
          "Name": "12\" Veggie Delite",
          "Sugar": 12
         },
         {
          "Calories": 210,
          "Fat": 0,
          "Name": "500ml Coke",
          "Sugar": 53
         }
        ]
       },
       "encoding": {
        "x": {
         "field": "Name",
         "type": "nominal"
        },
        "y": {
         "field": "Calories",
         "type": "quantitative"
        }
       },
       "height": 200,
       "mark": "bar",
       "padding": 20,
       "width": 150
      },
      "image/png": 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6jbaOe1pNzEp/Vh8S6aR8/PgxnE4nvv76a22AwaVLl+D3+7XX+P1+tLe3IxgMorS0FAAQiUSgKMqSHT7cUy7fuKc0nlXCS7l+/XocPnx4wbLh4WEoioKRkRF0d3dDURSMjo6itrYWPp8PAFBTUwOv17vkuiklpbQiq4SX8t07P6uqCuDNBFzzI4TKysoAvLleMzU1FaqqQlGUZcfTUkpKaUVWCS/lUoRCobiz4PX19WF2dnbZ91NKSmlFVh+1lGahlJTSiqwopQkoJaW0IitKaQJKSSmtyIpSmoBSUkorsqKUJqCUlNKKrCilCSglpbQiK0ppAkpJKa3IilKagFJSSiuyopQmoJSU0oqsKKUJKCWltCIrSmkCSkkprciKUpqAUlJKK7KilCaglJTSiqwopQkoJaW0IitKaQJKSSmtyIpSmoBSUkorsqKUJqCUlNKKrCilCSglpbQiK0ppAkpJKa3IilKagFJSSiuyopQmoJSU0oqsKKUJKCWltCIrSmkCSkkprciKUpqAUlJKK7KilCaglJTSiqwopQkoJaW0IitKaQJKSSmtyOqjkfL169cx9weZnp7GzMxMzGsnJiaWvAXePJSSUlqRVcJLOTExgdbWVqxZswbnzp0DAITDYRQUFCAlJQVerxf5+fmYm5tDKBSCz+dDeno63G43Kioqllw3paSUVmSV8FJ2dHRg+/btcDqdmpQtLS3weDzaa1wuF5qbm1FcXIw9e/YAAAYGBiCEwOTk5KLrppSU0oqsEl7KedatW6dJWVVVhby8PO25zMxMVFZWIicnB9XV1QCAaDQKIcSSAVFKSmlFVh+llEePHkVBQYH2XHZ2NqqqqhAIBHDmzBltuaqq6O3tXXSdlJJSWpHVRynlpUuX4Pf7tef8fj/a29sRDAZRWloKAIhEIlAURevwaW5uRklJSUxr67hn+4f5SdFpHCi/iJ6eHq0dKL9oe02fFJ1GW8c9rSZmpT+rD8mqkHJ4eBiKomBkZATd3d1QFAWjo6Oora2Fz+cDANTU1MDr9S65Tu4pl2/cUxrP6qOS8o8//tAeFxYWQlEUCCFQVlYGAJiamkJqaipUVYWiKLh69eqS66SUlNKKrD4aKeMRCoUwNjYWs7yvry/mnGY8KCWltCKrj1pKs1BKSmlFVpTSBJSSUlqRFaU0AaWklFZkRSlNQCkppRVZUUoTUEpKaUVWlNIElJJSWpEVpTQBpaSUVmRFKU1AKSmlFVlRShNQSkppRVaU0gSUklJakRWlNAGlpJRWZEUpTUApKaUVWVFKE1BKSmlFVpTSBJSSUlqRFaU0AaWklFZkRSlNQCkppRVZUUoTUEpKaUVWlNIElJJSWpEVpTQBpaSUVmRFKU1AKSmlFVlRShNQSkppRVaU0gSUklJakRWlNAGlpJRWZEUpTUApKaUVWVFKE1BKSmlFVpTSBJSSUlqRFaU0AaWklFZkRSlNQCkppRVZUco4TExMaPelXApKSSmtyIpSvkUoFILP50N6ejrcbjcqKiqWfD2lpJRWZEUp36K4uBh79uwBAAwMDEAIgcnJyUVfTykppRVZUcq3yMnJQXV1NQAgGo1CCLFkQJSSUlqRFaV8i0AggDNnzmiPVVVFb28vAKC5uRklJSULWllZWcwyNjazra6u7oN+r1e1lMFgEKWlpQCASCQCRVF0dfiYpaSkxPJtGEXGmgA565KxprdZ1VLW1tbC5/MBAGpqauD1eldkuzJ+qDLWBMhZl4w1vc2qlnJqagqpqalQVRWKouDq1asrsl0ZP1QZawLkrEvGmt5mVUs5T19fH2ZnZ1dsezJ+qDLWBMhZl4w1vU1CSLnSNDc3211CDDLWBMhZl4w1vQ2lJEQyKKVBHj9+jK6uLrx69cruUhYgW11jY2O4efMmAOD27ds2V7M4Fy5cwPj4uN1lLIBS6iQSiSArKwuKosDv92PTpk3Yt2+f3WVJWdeLFy+gqipOnjwJAMjIyMCmTZtsrQkApqensW3bNjidTq0pioLnz5/bXdoCKKVO/vnnH7jdbgwMDMDv92NqagqqquLJkyes6x3Onj2LL774YsGy5ORk27/8LS0tyMzMRHV1NXJzc3H8+HGkpaXZWlM8KKVOWlpa8NlnnyEUCsHv9wMAPB4Purq6WNc79PT0IDU1FaOjowDe9I6rqoqhoSHbagKAP/74A19++SUGBgawdu1aAEBmZia6u7ttretdKKUBvF4vsrKy4HK5sH79eqSnp9tdEgA56yopKYHD4YCqqlBVFeXl5XaXhFAoBKfTiYsXL8Lj8eDzzz+Hqqr8TbmamZycRG1tLXbu3Inz589jenra7pIAxNY1NTVlWy3RaFQb6hiNRtHT07MiQx/18vr1a/T396OnpwfffvstWltb7S4pBkqpg1evXqGurg7BYBAjIyNay8jIwMDAgK21NTc3o76+Xnt8//59rFmzxrZe2KqqKpSWluLUqVO2bH8p7t69i8LCwgWX9+Xl5dn6RywelFIH872bQggoiqK11NRUvH792tbanj59CqfTiQsXLuC7776DoigoLi62Ze/U3d0Nn88HIQSamppWfPvL0djYCCEEkpOT8fTpUwCA2+2W5jTSPJRSJ/fu3cMff/xhdxlxefDgAVRVRXJysu2dFqdOncKhQ4ek+A35Lo2NjcjPz0dpaSlUVcW1a9co5Wqkp6cHX375Je7fv4/NmzfHNLv2lI8fP8bOnTu1Nr+H2r59O3bu3Gnb791wOIxwOGzLtpejsbERBQUFAID6+nrt6IdSrjJGRkZw4cIFhEIhnD17NqbZ9QV88eIFTp8+vWizo67r169DCLFos/vL//DhwwUXJHd2diIzM5O/KVcbQ0NDqKioWLTJsFeIRCK4fPkyysrKcPfuXdvqePLkCdauXQtFUZCXl4eGhgaMjo5ifHxcitMO7OhJEPr6+rBr165Fm92nRebm5uB2uxEIBLBz5054PB74/X5bT0MMDAzg+PHjSE1NhcPhwJ49e3Djxg3b6pmHHT0JyMuXL/Hf//4Xf/75J9rb223veQWAv//+e8FggenpaTgcDttHGs1z/fp1uFwuCCFs31uyoyfBGB8fh8vlgt/vh9/vRzAYlGLc5L///qtNiQK86WhxOp0ffIY1IwwNDeHkyZNYu3YtVFXFrl27cPXqVUSjUdtqAtjRk3CcP38eGRkZC8aYJiUl2fobbh6/34/k5GTk5ubC7XYjJyfHljqePn2K9PR07TflxYsXMTk5iZmZGczMzNhS09uwoyfB6OrqQlpaGp4/fw6/36/tkQYHB22ta34alK6uLpw4ccLWw9b29nYpe1/ne84HBwfx22+/xTQZOuvehlIaID8/X5ukS1VVfPXVV7bWU11dDSGE9tt248aNyMrKwoMHD2yrKRKJLNrs4tGjRwgGg+jq6sK2bdtimt2dde9CKQ3y/Plz/PXXXxgeHra1jpmZGTgcDly6dElb9vr1axw5cgRut9tWCWTl9u3b6Ovrs7uMZaGUOpiensb58+eRl5cHr9eLgoKCBYPA7aChoQEbNmyI+1xSUpI0va+yEAgEtI6d//znP3aXsySUUgd79+5FUlISDh48iAsXLqCsrAwOhwNHjx61rabz588jOTk5ZvnY2BgURbH9t65MzA/aHxkZwaNHj+BwOGzvCV4KSrkM/f39EELEDPS+f/8+nE6nTVUBw8PDUBQFP/30kybg4OAgdu3ahYyMDNvqAoAbN27E7ehxOBz47bffVryetrY2rccceHPPmZWcJ9golHIZ2tvbkZqaGvc5VVUxMTER97mV4MqVK3A4HNoXfn60Smdnp201AW/2TC6XC3fv3kUkEkFLSws8Hg86OzshhEAoFFrRetra2pCZmak9ppSrnHc/0LdxOBy2n3iemZnBrVu3cPnyZfT29krRwdPQ0ICtW7cuWJaUlITR0VEEAgH8+++/K1pPW1vbgmth370u1s4/rPGglMsw/4E6HI6YJuNoEBkIh8NwuVw4cOAAqqurUVBQgLS0NLS1tUFV1RU/BTE9PY2HDx8u2mT7fUkpl2FychK3b99etMk0/4xMDA4O4tdff0Vubi6qqqowMjKCGzdu4P79+3aXJj2UknwwVtvIGVmhlKuUjo4ObfrGeM2O30mrbeSMrFDKVUo4HF4ws967zU7enmKypaVFu6eIDBw7dgwOhwPr1q3Drl27UFtba3dJMVBKA7S3t2PLli04ePAgfvvtN2lGzVy8eBEHDhzAvn37tGbXVRn79u2DEAJ+vx+BQEDbc9s9Thh4M8xOURQ0NTXB7/fj3r17UFUVL1++tLu0BVBKnfT390NRFHz33Xfw+/34/fff4XQ6bb8kqb+/H06nE99++y0OHz6sNTvOw/X29kJVVVy5cgUFBQVwOp14+fIl7t27B0VRbO/lrKurQ15e3oLL71JTU6XakwOUUjd//vknsrOzF3yga9assX2ai7/++gu5ubm21jDP2+d0r1+/vuD8rgzndGdnZ+F2u/Hjjz8iJSUFx48fh9vtlq4HnVLqZGRkBMnJydqQrbt378LhcCyYhMkOJicn4XK5kJubiyNHjmjNjj1lW1sbAoEAAODWrVtYt26d9pwMUgJvOsh27NiBpKQkFBYW2j76KR6U0gCVlZVwu93acLZz587ZXRLa29uhKAoKCwuxf/9+rdlxWN3W1gZFUeDxeOB2u7V/ezweqQZazMzMYHJyUmuyQSnfA7t7N9+mvr4e2dnZdpcB4M08RleuXFm02T0EcG5uTpu0WoYZERaDUi5DR0cHUlJScO3aNWnOB77N48ePoaoq8vPzUVlZiVOnTuHUqVM8UR+H+vp6ZGVlST0YHaCUyxIOhxEKhTA7O4vBwcGYZneP4v3793miXid3796Fx+PBo0eP7C5lSSilTjo7O5GWlragpaenIzc319Yu9f7+ftTV1eHw4cOorq6W5typjIyMjEBVVR6+JgqDg4NQVRXHjx9HS0sLiouL4Xa7ceLECSiKYkuHwU8//QRFUeD3+7F9+3bk5ubC6XRi+/btK17LauDPP/+E3+/Hy5cvMTU1pTXZoJQ6qa+vR15e3oJlycnJGBsbQ0ZGxopfIxiNRqEoSsxeenx8HKqq4smTJytaz2rg4cOHSElJQX9/v92lLAml1MnIyAjcbjcuX76Mvr4+1NTUICkpCX19fdrIlZUkGo1qo2feZmxsDE6n0/b7VMpIS0uLdsiqqqp2Xaxsp0UopQEaGxuxadMmOBwO5OTkoL29HXV1daiqqrKlntOnT0NRFCQlJWH9+vVIS0uDoigoKiqypR7ZmZmZkbKz7l0opU5evXqF1tbWmGZ3T97Q0BAaGxtRXl6OpqYmjI6O2lqP7PAqkQSiq6tLm9tlfo+kqiqcTqdtJ++fPXuG/Px8JCcnQwgBp9OJzz77jD2wi8CrRBKMW7duISUlRRu8PDIyApfLpXWs9Pb2rnhNXq8Xn3/+Oa5fv46hoSE8evQIx44dg6Iotl+9IiO8SiTBaG1tRVZWlvZ4fnKoiYkJZGZm4s6dOytaTyQSgRAi7pA/j8cj3RdNBniVSAKSnp6O1NRU5OXlwe1244svvsD//vc/JCUl2dJZkJ6ejqysLNTW1uLu3btobW3F999/D4fDYfvwP1nhVSIJyP3793Hq1CntcPXZs2e2nYCemJhAUVERUlJSoKoqUlNTsXv3bv6mXISGhoZVMbCCUhpA9p67rq4uKW75LitDQ0NQVRU1NTV48OABurq60NXVxcPX1YqMPXderxezs7OYnJzEmjVrtBm/T548aVtNMnPt2jUkJSXFNA4eWKXI2HOnKAqmp6dx+vRpbNiwATMzMxgYGIDL5eKlW0vw4sULNDU14dmzZ3aXEhdKqRMZe+7mpfzmm2/w66+/asvT09P5uzIO0WgUWVlZcDqd8Hq9EEJg7969dpcVA6VchtnZWU082XruHA6HNt2Gy+UCAASDQTidTumGjslAQ0MDMjMztRkQ5ly1wIgAAAWvSURBVC/lev78uc2VLYRSLkNbWxscDgf2799vu4TxGBoawrVr1/D7778DAL7//nteIbIIzc3NC2b+i0aj8Hq90h3GUsplmJ2dRV1dHbKzs7WJoH7++WcMDQ3ZXRoxSE9PD4QQSE9Px44dO5CamgpVVVFYWIjCwkJp5l6ilAaYnp5eIGhmZiaHs60inj17hpMnTy7axsfH7S4RAKU0zM2bN7F//344HA4kJSXxvOAq4tWrV7h582ZM43nKVcidO3cQDAbhcrmgqiqKioo4tnQV0t7ejpSUFKSkpCApKUm72Fm2KUEo5TJcv34dQghs3rwZDQ0NPP+XQIRCISQnJ0v3mVLKZZiYmJButjPyYZiZmYHD4ZBu6hRKST4aWlpatHl5HA4HFEXB2rVruackxC6mp6fx9OlTPH36FH19fdINGpiHUi7Dy5cv0dDQgNbWVvT09NhdDnlP2trasHHjRgBvRva4XC4IIXDixAmbK4uFUi5Dd3c3cnJysH37dpSXl9tdDnkPJiYmIITQRj05nU4cO3YMnZ2dUg5JpJTL8PDhQ+Tn56OwsBCVlZV2l0PegwsXLiAjIwPAmz+yiqJoN/lJT0/HvXv37CwvBkq5DCMjI6irq8OVK1fw4MEDu8sh78G1a9e0y+2OHz+OTz/9FMCbG+4qioJQKGRneTFQSh1cvnxZuxKjpqZGW+50Onm6ZBUwNzcHl8uFjRs3QlEU/P777+jv78fWrVvh8/nsLi8GSrkM0WgUbrcb1dXVaGpqgsPhwI0bNwDIc8twsjyTk5M4deoU2tvbAbz5Q1taWooXL17YXFkslHIZpqamIITQpoyoq6uD1+tFJBKhlMQSKKUOvF4vtmzZol3Nv2XLFmzevBmKolBK8sGhlDro7+9HUVGR1vsaDoexf/9+JCUlcX5V8sGhlOSjQdabNL0LpSQfDTLepCkelHIZIpEINm/evGjjRc6rBxlv0hQPSqmDY8eOQQiBn376CVVVVQuabFcYkMWR7SZNi0EpdeLxeDAwMGB3GcQkst2kKR6UUiecICtxePsmTR0dHXjy5IlUU4JQSvJRo6qqdOeaKSX5qKGUhEgGpSTEBh49eoQvvvgibhNCUEpCVppnz57hhx9+WLTNX/AsC5SSEMmglIRIBqUkRDIoJSGSQSkJkQxKmeCkpaVBCIGqqiptmcvlgtfrtbEqshSUMsGZl1JVVW2WBEopN5QywZmXUgiBYDAIYKGUTU1N8Hq9UFUVPp8P//zzDwBg3bp12LhxIwKBABwOB77++mscPHgQDocDa9euRX9/v/b+rKwsqKqKrKws6eZQXY1QygQnLS0NqqoiNzcXQgj09fVpUkajUTidTjidTvzyyy9wOp1wuVyYm5uD0+mEEAK5ublwOBwQQsDtdiMrKwtCCBQVFeHVq1cQQiAlJQUHDx6EEAJpaWl2/5dXPZQywZmX8vnz51AUBZs2bVogZUtLC4LBIAoKCrQ96uvXr+F0OpGUlAQAOHz4MIQQaG1txejoKIQQyM7ORk1NDYQQyMrKwldffaXJOz4+bvP/enVDKROceSkBoKysTBPP6/VidHQUqqpCVVUEg0GkpKQskHL+EHf+fTdu3ND2jjk5OTh06BCEENiwYQP27t2rNdnGkq42KGWC87aU4XAYbrdbk7KzsxNCCOTn5+PmzZtQFAVCCExNTemSsr6+XpOyqakJfr9fu08HeX8oZYLztpTAm+n656UEgIyMDG2Gt/k95Y0bNxZIefToUW35/G3lcnJyAAAlJSVQVVVbR2Nj48r/JxMMSknQ399vagKwSCSChw8fchKxDwSlJEQyKCUhkkEpCZEMSkmIZFBKQiSDUhIiGZSSEMmglIRIBqUkRDIoJSGSQSkJkQxKSYhkUEpCJINSEiIZlJIQyaCUhEgGpSREMiglIZJBKQmRDEpJiGRQSkIk4/8BBbEStFVtuGsAAAAASUVORK5CYII=",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(\n",
    "    df,\n",
    "    padding=20,\n",
    "    background='#fff'\n",
    ").mark_bar(\n",
    ").encode(\n",
    "    x='Name',\n",
    "    y='Calories'\n",
    ").properties(\n",
    "    width=150,\n",
    "    height=200\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "background": "#fff",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-d7a009f4d34c853c57fc55b6505475b6"
       },
       "datasets": {
        "data-d7a009f4d34c853c57fc55b6505475b6": [
         {
          "Calories": 540,
          "Fat": 28,
          "Name": "Big M*c",
          "Sugar": 9
         },
         {
          "Calories": 350,
          "Fat": 17,
          "Name": "Lg Supreme Pizza",
          "Sugar": 2
         },
         {
          "Calories": 460,
          "Fat": 6,
          "Name": "12\" Veggie Delite",
          "Sugar": 12
         },
         {
          "Calories": 210,
          "Fat": 0,
          "Name": "500ml Coke",
          "Sugar": 53
         }
        ]
       },
       "encoding": {
        "size": {
         "field": "Calories",
         "type": "quantitative"
        },
        "x": {
         "field": "Fat",
         "type": "quantitative"
        },
        "y": {
         "field": "Sugar",
         "type": "quantitative"
        }
       },
       "height": 200,
       "mark": "circle",
       "padding": 20,
       "width": 200
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(\n",
    "    df,\n",
    "    padding=20,\n",
    "    background='#fff'\n",
    ").mark_circle(\n",
    ").encode(\n",
    "    x='Fat',\n",
    "    y='Sugar',\n",
    "    size='Calories'\n",
    ").properties(\n",
    "    width=200,\n",
    "    height=00\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "config": {
        "background": "#fff",
        "mark": {
         "tooltip": null
        },
        "padding": 20,
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "name": "data-d7a009f4d34c853c57fc55b6505475b6"
       },
       "datasets": {
        "data-d7a009f4d34c853c57fc55b6505475b6": [
         {
          "Calories": 540,
          "Fat": 28,
          "Name": "Big M*c",
          "Sugar": 9
         },
         {
          "Calories": 350,
          "Fat": 17,
          "Name": "Lg Supreme Pizza",
          "Sugar": 2
         },
         {
          "Calories": 460,
          "Fat": 6,
          "Name": "12\" Veggie Delite",
          "Sugar": 12
         },
         {
          "Calories": 210,
          "Fat": 0,
          "Name": "500ml Coke",
          "Sugar": 53
         }
        ]
       },
       "layer": [
        {
         "encoding": {
          "x": {
           "field": "Name",
           "type": "nominal"
          },
          "y": {
           "axis": {
            "orient": "left"
           },
           "field": "Calories",
           "type": "quantitative"
          }
         },
         "height": 200,
         "mark": "bar",
         "width": 150
        },
        {
         "encoding": {
          "x": {
           "field": "Name",
           "type": "nominal"
          },
          "y": {
           "axis": {
            "orient": "right"
           },
           "field": "Sugar",
           "type": "quantitative"
          }
         },
         "height": 200,
         "mark": {
          "color": "orange",
          "type": "line"
         },
         "width": 150
        }
       ],
       "resolve": {
        "scale": {
         "y": "independent"
        }
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "base = alt.Chart(\n",
    "    df,\n",
    ").encode(\n",
    "    x='Name'\n",
    ").properties(\n",
    "    width=150,\n",
    "    height=200\n",
    ")\n",
    "\n",
    "cal = base.mark_bar(\n",
    ").encode(\n",
    "    y=alt.Y('Calories', axis=alt.Axis(orient='left')),\n",
    ")\n",
    "\n",
    "sugar = base.mark_line(\n",
    "    color='orange'\n",
    ").encode(\n",
    "    y=alt.Y('Sugar', axis=alt.Axis(orient='right')),\n",
    ")\n",
    "\n",
    "(cal + sugar).resolve_scale(\n",
    "    y='independent'\n",
    ").configure(\n",
    "    padding=20,\n",
    "    background='#fff'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v3+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v3.4.0.json",
       "background": "#fff",
       "config": {
        "mark": {
         "tooltip": null
        },
        "view": {
         "height": 300,
         "width": 400
        }
       },
       "data": {
        "url": "https://vega.github.io/vega-datasets/data/movies.json"
       },
       "encoding": {
        "x": {
         "bin": true,
         "field": "IMDB_Rating",
         "type": "quantitative"
        },
        "y": {
         "aggregate": "count",
         "type": "quantitative"
        }
       },
       "mark": "bar",
       "padding": 20
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 3 object>\n",
       "\n",
       "If you see this message, it means the renderer has not been properly enabled\n",
       "for the frontend that you are using. For more information, see\n",
       "https://altair-viz.github.io/user_guide/troubleshooting.html\n"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "source = data.movies.url\n",
    "\n",
    "alt.Chart(\n",
    "    source,\n",
    "    padding=20,\n",
    "    background='#fff'\n",
    ").mark_bar(\n",
    ").encode(\n",
    "    alt.X(\"IMDB_Rating:Q\", bin=True),\n",
    "    y='count()',\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "source = data.movies.url\n",
    "\n",
    "alt.Chart(\n",
    "    source,\n",
    "    padding=20,\n",
    "    background='#fff'\n",
    ").mark_bar(\n",
    ").encode(\n",
    "    alt.X(\"IMDB_Rating:Q\", bin=True),\n",
    "    y='average(Worldwide_Gross):Q',\n",
    ")"
   ]
  },
  {
   "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": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}