examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "53b5106a-7621-4f40-814f-2cac55636898",
   "metadata": {},
   "source": [
    "# Altair theme for Reveal data graphics\n",
    "\n",
    "- You will need 'Tenon' installed as a system-wide font.\n",
    "- There will likely be more style modifications needed after exporting as SVG to Adobe Illustrator.\n",
    "- There's some bottom padding added to the bottom of each chart to add in Sources and Credits manually.\n",
    "- Check the examples below for customizing charts."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "79996a6d-c640-4d87-b6ed-1f080ff409aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from vega_datasets import data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85da0b12-9152-4d6d-9dff-0aa96b46246b",
   "metadata": {},
   "source": [
    "## Import Altair and register theme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "526732ab-b309-449c-bb6e-7bfd632bc7b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ThemeRegistry.enable('altair_reveal')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import altair as alt\n",
    "import altair_reveal as altair_reveal\n",
    "alt.themes.register('altair_reveal', altair_reveal.theme)\n",
    "alt.themes.enable('altair_reveal')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40daa826-e26a-4428-a607-8723da799a4c",
   "metadata": {},
   "source": [
    "### Fallback to png for GitHub display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ffafa96e-e670-4e0e-9491-651b0423a79e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RendererRegistry.enable('mimetype')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.renderers.enable('mimetype')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "87a99d39-3e7a-4237-9e83-15f18ddada2b",
   "metadata": {},
   "source": [
    "### Save charts (you'll need chromedriver)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9f23204a-c29b-4e8a-b469-39839ab91e4b",
   "metadata": {},
   "outputs": [],
   "source": [
    "from altair_saver import save"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1e6a132b-17b8-4c30-ac9d-c1e8cf08fa6a",
   "metadata": {},
   "source": [
    "## Pre-defined colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "77acac39-1525-49f1-ad82-10c3d943a84d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'black': '#222222',\n",
       " 'white': '#ffffff',\n",
       " 'background': '#f9f9f9',\n",
       " 'light_grey': '#dddddd',\n",
       " 'dark_grey': '#666666',\n",
       " 'orange': '#e54600',\n",
       " 'dark_blue': '#004488',\n",
       " 'blue': '#0077bb',\n",
       " 'magenta': '#c51b8a'}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "altair_reveal.palette"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24502c1e-5022-4f9d-b72c-513b5ec7b85a",
   "metadata": {},
   "source": [
    "## Clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d1f3ed0b-38c1-4253-8bba-cb5fbdbb3706",
   "metadata": {},
   "outputs": [],
   "source": [
    "cars = data.cars().copy()\n",
    "cars['Year'] = pd.to_datetime(cars['Year'])\n",
    "cars = cars[cars['Year'] <= '1980-12-31'].copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1978378b-8dfb-45bc-be44-a50e9432415b",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Vertical bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "21f5d12b-0e2e-4fb4-9b2c-cf7f486f2135",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#f9f9f9",
         "tickColor": "#f9f9f9"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
        },
        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
        },
        "point": {
         "stroke": "#0077bb"
        },
        "rect": {
         "fill": "#0077bb"
        },
        "shape": {
         "stroke": "#0077bb"
        },
        "symbol": {
         "fill": "#0077bb",
         "size": 30
        },
        "title": {
         "align": "left",
         "anchor": "start",
         "color": "#222222",
         "font": "Tenon",
         "fontSize": 28,
         "fontWeight": 500,
         "subtitleColor": "#222222",
         "subtitleFont": "Tenon",
         "subtitleFontSize": 20,
         "subtitleFontWeight": 300,
         "subtitleLineHeight": 24,
         "subtitlePadding": 10
        },
        "view": {
         "height": 500,
         "strokeOpacity": 0,
         "width": 320
        }
       },
       "data": {
        "name": "data-338d66dfbbc2197ff7a526ac020915e8"
       },
       "datasets": {
        "data-338d66dfbbc2197ff7a526ac020915e8": [
         {
          "Acceleration": 12,
          "Cylinders": 8,
          "Displacement": 307,
          "Horsepower": 130,
          "Miles_per_Gallon": 18,
          "Name": "chevrolet chevelle malibu",
          "Origin": "USA",
          "Weight_in_lbs": 3504,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 11.5,
          "Cylinders": 8,
          "Displacement": 350,
          "Horsepower": 165,
          "Miles_per_Gallon": 15,
          "Name": "buick skylark 320",
          "Origin": "USA",
          "Weight_in_lbs": 3693,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 11,
          "Cylinders": 8,
          "Displacement": 318,
          "Horsepower": 150,
          "Miles_per_Gallon": 18,
          "Name": "plymouth satellite",
          "Origin": "USA",
          "Weight_in_lbs": 3436,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 12,
          "Cylinders": 8,
          "Displacement": 304,
          "Horsepower": 150,
          "Miles_per_Gallon": 16,
          "Name": "amc rebel sst",
          "Origin": "USA",
          "Weight_in_lbs": 3433,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10.5,
          "Cylinders": 8,
          "Displacement": 302,
          "Horsepower": 140,
          "Miles_per_Gallon": 17,
          "Name": "ford torino",
          "Origin": "USA",
          "Weight_in_lbs": 3449,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10,
          "Cylinders": 8,
          "Displacement": 429,
          "Horsepower": 198,
          "Miles_per_Gallon": 15,
          "Name": "ford galaxie 500",
          "Origin": "USA",
          "Weight_in_lbs": 4341,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 9,
          "Cylinders": 8,
          "Displacement": 454,
          "Horsepower": 220,
          "Miles_per_Gallon": 14,
          "Name": "chevrolet impala",
          "Origin": "USA",
          "Weight_in_lbs": 4354,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 8.5,
          "Cylinders": 8,
          "Displacement": 440,
          "Horsepower": 215,
          "Miles_per_Gallon": 14,
          "Name": "plymouth fury iii",
          "Origin": "USA",
          "Weight_in_lbs": 4312,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10,
          "Cylinders": 8,
          "Displacement": 455,
          "Horsepower": 225,
          "Miles_per_Gallon": 14,
          "Name": "pontiac catalina",
          "Origin": "USA",
          "Weight_in_lbs": 4425,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 8.5,
          "Cylinders": 8,
          "Displacement": 390,
          "Horsepower": 190,
          "Miles_per_Gallon": 15,
          "Name": "amc ambassador dpl",
          "Origin": "USA",
          "Weight_in_lbs": 3850,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 17.5,
          "Cylinders": 4,
          "Displacement": 133,
          "Horsepower": 115,
          "Miles_per_Gallon": null,
          "Name": "citroen ds-21 pallas",
          "Origin": "Europe",
          "Weight_in_lbs": 3090,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 11.5,
          "Cylinders": 8,
          "Displacement": 350,
          "Horsepower": 165,
          "Miles_per_Gallon": null,
          "Name": "chevrolet chevelle concours (sw)",
          "Origin": "USA",
          "Weight_in_lbs": 4142,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 11,
          "Cylinders": 8,
          "Displacement": 351,
          "Horsepower": 153,
          "Miles_per_Gallon": null,
          "Name": "ford torino (sw)",
          "Origin": "USA",
          "Weight_in_lbs": 4034,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10.5,
          "Cylinders": 8,
          "Displacement": 383,
          "Horsepower": 175,
          "Miles_per_Gallon": null,
          "Name": "plymouth satellite (sw)",
          "Origin": "USA",
          "Weight_in_lbs": 4166,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 11,
          "Cylinders": 8,
          "Displacement": 360,
          "Horsepower": 175,
          "Miles_per_Gallon": null,
          "Name": "amc rebel sst (sw)",
          "Origin": "USA",
          "Weight_in_lbs": 3850,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10,
          "Cylinders": 8,
          "Displacement": 383,
          "Horsepower": 170,
          "Miles_per_Gallon": 15,
          "Name": "dodge challenger se",
          "Origin": "USA",
          "Weight_in_lbs": 3563,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 8,
          "Cylinders": 8,
          "Displacement": 340,
          "Horsepower": 160,
          "Miles_per_Gallon": 14,
          "Name": "plymouth 'cuda 340",
          "Origin": "USA",
          "Weight_in_lbs": 3609,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 8,
          "Cylinders": 8,
          "Displacement": 302,
          "Horsepower": 140,
          "Miles_per_Gallon": null,
          "Name": "ford mustang boss 302",
          "Origin": "USA",
          "Weight_in_lbs": 3353,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 9.5,
          "Cylinders": 8,
          "Displacement": 400,
          "Horsepower": 150,
          "Miles_per_Gallon": 15,
          "Name": "chevrolet monte carlo",
          "Origin": "USA",
          "Weight_in_lbs": 3761,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 10,
          "Cylinders": 8,
          "Displacement": 455,
          "Horsepower": 225,
          "Miles_per_Gallon": 14,
          "Name": "buick estate wagon (sw)",
          "Origin": "USA",
          "Weight_in_lbs": 3086,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
          "Cylinders": 4,
          "Displacement": 113,
          "Horsepower": 95,
          "Miles_per_Gallon": 24,
          "Name": "toyota corona mark ii",
          "Origin": "Japan",
          "Weight_in_lbs": 2372,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 198,
          "Horsepower": 95,
          "Miles_per_Gallon": 22,
          "Name": "plymouth duster",
          "Origin": "USA",
          "Weight_in_lbs": 2833,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 199,
          "Horsepower": 97,
          "Miles_per_Gallon": 18,
          "Name": "amc hornet",
          "Origin": "USA",
          "Weight_in_lbs": 2774,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 16,
          "Cylinders": 6,
          "Displacement": 200,
          "Horsepower": 85,
          "Miles_per_Gallon": 21,
          "Name": "ford maverick",
          "Origin": "USA",
          "Weight_in_lbs": 2587,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 14.5,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 88,
          "Miles_per_Gallon": 27,
          "Name": "datsun pl510",
          "Origin": "Japan",
          "Weight_in_lbs": 2130,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 20.5,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 46,
          "Miles_per_Gallon": 26,
          "Name": "volkswagen 1131 deluxe sedan",
          "Origin": "Europe",
          "Weight_in_lbs": 1835,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 17.5,
          "Cylinders": 4,
          "Displacement": 110,
          "Horsepower": 87,
          "Miles_per_Gallon": 25,
          "Name": "peugeot 504",
          "Origin": "Europe",
          "Weight_in_lbs": 2672,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 14.5,
          "Cylinders": 4,
          "Displacement": 107,
          "Horsepower": 90,
          "Miles_per_Gallon": 24,
          "Name": "audi 100 ls",
          "Origin": "Europe",
          "Weight_in_lbs": 2430,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 17.5,
          "Cylinders": 4,
          "Displacement": 104,
          "Horsepower": 95,
          "Miles_per_Gallon": 25,
          "Name": "saab 99e",
          "Origin": "Europe",
          "Weight_in_lbs": 2375,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 12.5,
          "Cylinders": 4,
          "Displacement": 121,
          "Horsepower": 113,
          "Miles_per_Gallon": 26,
          "Name": "bmw 2002",
          "Origin": "Europe",
          "Weight_in_lbs": 2234,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
          "Cylinders": 6,
          "Displacement": 199,
          "Horsepower": 90,
          "Miles_per_Gallon": 21,
          "Name": "amc gremlin",
          "Origin": "USA",
          "Weight_in_lbs": 2648,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 14,
          "Cylinders": 8,
          "Displacement": 360,
          "Horsepower": 215,
          "Miles_per_Gallon": 10,
          "Name": "ford f250",
          "Origin": "USA",
          "Weight_in_lbs": 4615,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
          "Cylinders": 8,
          "Displacement": 307,
          "Horsepower": 200,
          "Miles_per_Gallon": 10,
          "Name": "chevy c20",
          "Origin": "USA",
          "Weight_in_lbs": 4376,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 13.5,
          "Cylinders": 8,
          "Displacement": 318,
          "Horsepower": 210,
          "Miles_per_Gallon": 11,
          "Name": "dodge d200",
          "Origin": "USA",
          "Weight_in_lbs": 4382,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 18.5,
          "Cylinders": 8,
          "Displacement": 304,
          "Horsepower": 193,
          "Miles_per_Gallon": 9,
          "Name": "hi 1200d",
          "Origin": "USA",
          "Weight_in_lbs": 4732,
          "Year": "1970-01-01T00:00:00"
         },
         {
          "Acceleration": 14.5,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 88,
          "Miles_per_Gallon": 27,
          "Name": "datsun pl510",
          "Origin": "Japan",
          "Weight_in_lbs": 2130,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 4,
          "Displacement": 140,
          "Horsepower": 90,
          "Miles_per_Gallon": 28,
          "Name": "chevrolet vega 2300",
          "Origin": "USA",
          "Weight_in_lbs": 2264,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 14,
          "Cylinders": 4,
          "Displacement": 113,
          "Horsepower": 95,
          "Miles_per_Gallon": 25,
          "Name": "toyota corona",
          "Origin": "Japan",
          "Weight_in_lbs": 2228,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 19,
          "Cylinders": 4,
          "Displacement": 98,
          "Horsepower": null,
          "Miles_per_Gallon": 25,
          "Name": "ford pinto",
          "Origin": "USA",
          "Weight_in_lbs": 2046,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 20,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 48,
          "Miles_per_Gallon": null,
          "Name": "volkswagen super beetle 117",
          "Origin": "Europe",
          "Weight_in_lbs": 1978,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 13,
          "Cylinders": 6,
          "Displacement": 232,
          "Horsepower": 100,
          "Miles_per_Gallon": 19,
          "Name": "amc gremlin",
          "Origin": "USA",
          "Weight_in_lbs": 2634,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 225,
          "Horsepower": 105,
          "Miles_per_Gallon": 16,
          "Name": "plymouth satellite custom",
          "Origin": "USA",
          "Weight_in_lbs": 3439,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 250,
          "Horsepower": 100,
          "Miles_per_Gallon": 17,
          "Name": "chevrolet chevelle malibu",
          "Origin": "USA",
          "Weight_in_lbs": 3329,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 250,
          "Horsepower": 88,
          "Miles_per_Gallon": 19,
          "Name": "ford torino 500",
          "Origin": "USA",
          "Weight_in_lbs": 3302,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 6,
          "Displacement": 232,
          "Horsepower": 100,
          "Miles_per_Gallon": 18,
          "Name": "amc matador",
          "Origin": "USA",
          "Weight_in_lbs": 3288,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 12,
          "Cylinders": 8,
          "Displacement": 350,
          "Horsepower": 165,
          "Miles_per_Gallon": 14,
          "Name": "chevrolet impala",
          "Origin": "USA",
          "Weight_in_lbs": 4209,
          "Year": "1971-01-01T00:00:00"
         },
         {
          "Acceleration": 11.5,
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         },
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         },
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         },
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         },
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         },
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         },
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          "Miles_per_Gallon": 21.5,
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          "Year": "1977-01-01T00:00:00"
         },
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          "Name": "mazda rx-4",
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          "Year": "1977-01-01T00:00:00"
         },
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          "Horsepower": 48,
          "Miles_per_Gallon": 43.1,
          "Name": "volkswagen rabbit custom diesel",
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          "Year": "1978-01-01T00:00:00"
         },
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          "Miles_per_Gallon": 36.1,
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         },
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          "Horsepower": 52,
          "Miles_per_Gallon": 32.8,
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          "Year": "1978-01-01T00:00:00"
         },
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          "Acceleration": 18.6,
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          "Horsepower": 70,
          "Miles_per_Gallon": 39.4,
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         },
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          "Acceleration": 16.4,
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         },
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          "Acceleration": 15.5,
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          "Horsepower": 110,
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         },
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          "Acceleration": 12.8,
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         },
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          "Acceleration": 15.8,
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         },
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          "Acceleration": 17.2,
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         },
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         },
         {
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         },
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          "Acceleration": 11.2,
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         },
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         },
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         },
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         },
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         },
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         },
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         {
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         {
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          "Horsepower": 103,
          "Miles_per_Gallon": 20.3,
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         },
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          "Acceleration": 13.6,
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          "Miles_per_Gallon": 17,
          "Name": "volvo 264gl",
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         },
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         },
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         },
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         },
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          "Acceleration": 16.6,
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          "Horsepower": 68,
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          "Name": "honda Accelerationord lx",
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         },
         {
          "Acceleration": 15.4,
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          "Name": "pontiac lemans v6",
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         },
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         },
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         },
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          "Year": "1979-01-01T00:00:00"
         },
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         },
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         },
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         },
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          "Year": "1979-01-01T00:00:00"
         },
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         },
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         },
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          "Horsepower": 142,
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          "Year": "1979-01-01T00:00:00"
         },
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          "Horsepower": 125,
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          "Year": "1979-01-01T00:00:00"
         },
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          "Horsepower": 150,
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          "Name": "chrysler lebaron town @ country (sw)",
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         },
         {
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          "Miles_per_Gallon": 31.9,
          "Name": "vw rabbit custom",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 15.2,
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          "Horsepower": 65,
          "Miles_per_Gallon": 34.1,
          "Name": "maxda glc deluxe",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 14.4,
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          "Horsepower": 80,
          "Miles_per_Gallon": 35.7,
          "Name": "dodge colt hatchback custom",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
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          "Horsepower": 80,
          "Miles_per_Gallon": 27.4,
          "Name": "amc spirit dl",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 20.1,
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          "Horsepower": 77,
          "Miles_per_Gallon": 25.4,
          "Name": "mercedes benz 300d",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 17.4,
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          "Horsepower": 125,
          "Miles_per_Gallon": 23,
          "Name": "cadillac eldorado",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 24.8,
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          "Horsepower": 71,
          "Miles_per_Gallon": 27.2,
          "Name": "peugeot 504",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 22.2,
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          "Horsepower": 90,
          "Miles_per_Gallon": 23.9,
          "Name": "oldsmobile cutlass salon brougham",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 13.2,
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          "Horsepower": 70,
          "Miles_per_Gallon": 34.2,
          "Name": "plymouth horizon",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 14.9,
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          "Horsepower": 70,
          "Miles_per_Gallon": 34.5,
          "Name": "plymouth horizon tc3",
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          "Year": "1979-01-01T00:00:00"
         },
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          "Acceleration": 19.2,
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          "Horsepower": 65,
          "Miles_per_Gallon": 31.8,
          "Name": "datsun 210",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 14.7,
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          "Horsepower": 69,
          "Miles_per_Gallon": 37.3,
          "Name": "fiat strada custom",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 16,
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          "Horsepower": 90,
          "Miles_per_Gallon": 28.4,
          "Name": "buick skylark limited",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 11.3,
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          "Horsepower": 115,
          "Miles_per_Gallon": 28.8,
          "Name": "chevrolet citation",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 12.9,
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          "Horsepower": 115,
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          "Name": "oldsmobile omega brougham",
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          "Year": "1979-01-01T00:00:00"
         },
         {
          "Acceleration": 13.2,
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          "Horsepower": 90,
          "Miles_per_Gallon": 33.5,
          "Name": "pontiac phoenix",
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          "Year": "1979-01-01T00:00:00"
         },
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          "Acceleration": 14.7,
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          "Horsepower": 76,
          "Miles_per_Gallon": 41.5,
          "Name": "vw rabbit",
          "Origin": "Europe",
          "Weight_in_lbs": 2144,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 18.8,
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          "Horsepower": 60,
          "Miles_per_Gallon": 38.1,
          "Name": "toyota corolla tercel",
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          "Weight_in_lbs": 1968,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
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          "Horsepower": 70,
          "Miles_per_Gallon": 32.1,
          "Name": "chevrolet chevette",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 16.4,
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          "Horsepower": 65,
          "Miles_per_Gallon": 37.2,
          "Name": "datsun 310",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 16.5,
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          "Displacement": 151,
          "Horsepower": 90,
          "Miles_per_Gallon": 28,
          "Name": "chevrolet citation",
          "Origin": "USA",
          "Weight_in_lbs": 2678,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 18.1,
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          "Horsepower": 88,
          "Miles_per_Gallon": 26.4,
          "Name": "ford fairmont",
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          "Weight_in_lbs": 2870,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 20.1,
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          "Displacement": 151,
          "Horsepower": 90,
          "Miles_per_Gallon": 24.3,
          "Name": "amc concord",
          "Origin": "USA",
          "Weight_in_lbs": 3003,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 18.7,
          "Cylinders": 6,
          "Displacement": 225,
          "Horsepower": 90,
          "Miles_per_Gallon": 19.1,
          "Name": "dodge aspen",
          "Origin": "USA",
          "Weight_in_lbs": 3381,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.8,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 78,
          "Miles_per_Gallon": 34.3,
          "Name": "audi 4000",
          "Origin": "Europe",
          "Weight_in_lbs": 2188,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
          "Cylinders": 4,
          "Displacement": 134,
          "Horsepower": 90,
          "Miles_per_Gallon": 29.8,
          "Name": "toyota corona liftback",
          "Origin": "Japan",
          "Weight_in_lbs": 2711,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.5,
          "Cylinders": 4,
          "Displacement": 120,
          "Horsepower": 75,
          "Miles_per_Gallon": 31.3,
          "Name": "mazda 626",
          "Origin": "Japan",
          "Weight_in_lbs": 2542,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
          "Cylinders": 4,
          "Displacement": 119,
          "Horsepower": 92,
          "Miles_per_Gallon": 37,
          "Name": "datsun 510 hatchback",
          "Origin": "Japan",
          "Weight_in_lbs": 2434,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.2,
          "Cylinders": 4,
          "Displacement": 108,
          "Horsepower": 75,
          "Miles_per_Gallon": 32.2,
          "Name": "toyota corolla",
          "Origin": "Japan",
          "Weight_in_lbs": 2265,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.9,
          "Cylinders": 4,
          "Displacement": 86,
          "Horsepower": 65,
          "Miles_per_Gallon": 46.6,
          "Name": "mazda glc",
          "Origin": "Japan",
          "Weight_in_lbs": 2110,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 14.4,
          "Cylinders": 4,
          "Displacement": 156,
          "Horsepower": 105,
          "Miles_per_Gallon": 27.9,
          "Name": "dodge colt",
          "Origin": "USA",
          "Weight_in_lbs": 2800,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 19.2,
          "Cylinders": 4,
          "Displacement": 85,
          "Horsepower": 65,
          "Miles_per_Gallon": 40.8,
          "Name": "datsun 210",
          "Origin": "Japan",
          "Weight_in_lbs": 2110,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 21.7,
          "Cylinders": 4,
          "Displacement": 90,
          "Horsepower": 48,
          "Miles_per_Gallon": 44.3,
          "Name": "vw rabbit c (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2085,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 23.7,
          "Cylinders": 4,
          "Displacement": 90,
          "Horsepower": 48,
          "Miles_per_Gallon": 43.4,
          "Name": "vw dasher (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2335,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 19.9,
          "Cylinders": 5,
          "Displacement": 121,
          "Horsepower": 67,
          "Miles_per_Gallon": 36.4,
          "Name": "audi 5000s (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2950,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 21.8,
          "Cylinders": 4,
          "Displacement": 146,
          "Horsepower": 67,
          "Miles_per_Gallon": 30,
          "Name": "mercedes-benz 240d",
          "Origin": "Europe",
          "Weight_in_lbs": 3250,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 13.8,
          "Cylinders": 4,
          "Displacement": 91,
          "Horsepower": 67,
          "Miles_per_Gallon": 44.6,
          "Name": "honda civic 1500 gl",
          "Origin": "Japan",
          "Weight_in_lbs": 1850,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.3,
          "Cylinders": 4,
          "Displacement": 85,
          "Horsepower": null,
          "Miles_per_Gallon": 40.9,
          "Name": "renault lecar deluxe",
          "Origin": "Europe",
          "Weight_in_lbs": 1835,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 18,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 67,
          "Miles_per_Gallon": 33.8,
          "Name": "subaru dl",
          "Origin": "Japan",
          "Weight_in_lbs": 2145,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.3,
          "Cylinders": 4,
          "Displacement": 89,
          "Horsepower": 62,
          "Miles_per_Gallon": 29.8,
          "Name": "vokswagen rabbit",
          "Origin": "Europe",
          "Weight_in_lbs": 1845,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 11.4,
          "Cylinders": 6,
          "Displacement": 168,
          "Horsepower": 132,
          "Miles_per_Gallon": 32.7,
          "Name": "datsun 280-zx",
          "Origin": "Japan",
          "Weight_in_lbs": 2910,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 12.5,
          "Cylinders": 3,
          "Displacement": 70,
          "Horsepower": 100,
          "Miles_per_Gallon": 23.7,
          "Name": "mazda rx-7 gs",
          "Origin": "Japan",
          "Weight_in_lbs": 2420,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.1,
          "Cylinders": 4,
          "Displacement": 122,
          "Horsepower": 88,
          "Miles_per_Gallon": 35,
          "Name": "triumph tr7 coupe",
          "Origin": "Europe",
          "Weight_in_lbs": 2500,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 14.3,
          "Cylinders": 4,
          "Displacement": 140,
          "Horsepower": null,
          "Miles_per_Gallon": 23.6,
          "Name": "ford mustang cobra",
          "Origin": "USA",
          "Weight_in_lbs": 2905,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17,
          "Cylinders": 4,
          "Displacement": 107,
          "Horsepower": 72,
          "Miles_per_Gallon": 32.4,
          "Name": "honda Accelerationord",
          "Origin": "Japan",
          "Weight_in_lbs": 2290,
          "Year": "1980-01-01T00:00:00"
         }
        ]
       },
       "encoding": {
        "x": {
         "field": "Year",
         "timeUnit": "year",
         "type": "ordinal"
        },
        "y": {
         "aggregate": "mean",
         "axis": {
          "tickCount": 10
         },
         "field": "Miles_per_Gallon",
         "type": "quantitative"
        }
       },
       "mark": "bar",
       "title": {
        "subtitle": [
         "Average fuel efficiency by miles per",
         "gallon of different makes and models",
         "of cars since 1970.",
         " "
        ],
        "text": "Cars Lorem Ipsum"
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(cars).mark_bar().encode(\n",
    "    x=alt.X('year(Year):O'), # wrap `Year` column with Altair's year() fn, then type as :O[rdinal] for proper display\n",
    "    y=alt.Y('mean(Miles_per_Gallon)', axis=alt.Axis(tickCount=10)),\n",
    ").properties(\n",
    "    title={\n",
    "        'text': 'Cars Lorem Ipsum',\n",
    "        'subtitle' : ['Average fuel efficiency by miles per', 'gallon of different makes and models', 'of cars since 1970.', ' ']\n",
    "\n",
    "        # You could split up the subtitle into separate strings to fit \n",
    "        # each line, as shown above. However, it's better for Reveal's \n",
    "        # workflow to make the subtitle longer than what will fit in \n",
    "        # the chart because you can edit it in Illustrator, like so:\n",
    "        \n",
    "        # 'subtitle' : ['Average fuel efficiency by miles per gallon of different makes and models of cars since 1970.', ' ']\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "41ef3273-cbe8-4022-853d-53cf736e3371",
   "metadata": {},
   "outputs": [],
   "source": [
    "# uncomment to save image as svg\n",
    "# save(hbar, 'hbar.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "722aabfa-489b-445c-9965-3d7a3517a0c0",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Horizontal bar chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "411b1ddc-db97-4666-b2fa-0633512f962c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#f9f9f9",
         "tickColor": "#f9f9f9"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
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        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
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        "point": {
         "stroke": "#0077bb"
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        "rect": {
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        "symbol": {
         "fill": "#0077bb",
         "size": 30
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        "title": {
         "align": "left",
         "anchor": "start",
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         "font": "Tenon",
         "fontSize": 28,
         "fontWeight": 500,
         "subtitleColor": "#222222",
         "subtitleFont": "Tenon",
         "subtitleFontSize": 20,
         "subtitleFontWeight": 300,
         "subtitleLineHeight": 24,
         "subtitlePadding": 10
        },
        "view": {
         "height": 500,
         "strokeOpacity": 0,
         "width": 320
        }
       },
       "data": {
        "name": "data-093ece8c35bb2d41094cfb6138ec810b"
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          "site": "University Farm",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 27
         },
         {
          "site": "Waseca",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 48.86667
         },
         {
          "site": "Morris",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 27.43334
         },
         {
          "site": "Crookston",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 39.93333
         },
         {
          "site": "Grand Rapids",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 32.96667
         },
         {
          "site": "Duluth",
          "variety": "Manchuria",
          "year": 1931,
          "yield": 28.96667
         },
         {
          "site": "University Farm",
          "variety": "Glabron",
          "year": 1931,
          "yield": 43.06666
         },
         {
          "site": "Waseca",
          "variety": "Glabron",
          "year": 1931,
          "yield": 55.2
         },
         {
          "site": "Morris",
          "variety": "Glabron",
          "year": 1931,
          "yield": 28.76667
         },
         {
          "site": "Crookston",
          "variety": "Glabron",
          "year": 1931,
          "yield": 38.13333
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         {
          "site": "Grand Rapids",
          "variety": "Glabron",
          "year": 1931,
          "yield": 29.13333
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         {
          "site": "Duluth",
          "variety": "Glabron",
          "year": 1931,
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         },
         {
          "site": "University Farm",
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          "year": 1931,
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         },
         {
          "site": "Waseca",
          "variety": "Svansota",
          "year": 1931,
          "yield": 47.33333
         },
         {
          "site": "Morris",
          "variety": "Svansota",
          "year": 1931,
          "yield": 25.76667
         },
         {
          "site": "Crookston",
          "variety": "Svansota",
          "year": 1931,
          "yield": 40.46667
         },
         {
          "site": "Grand Rapids",
          "variety": "Svansota",
          "year": 1931,
          "yield": 29.66667
         },
         {
          "site": "Duluth",
          "variety": "Svansota",
          "year": 1931,
          "yield": 25.7
         },
         {
          "site": "University Farm",
          "variety": "Velvet",
          "year": 1931,
          "yield": 39.9
         },
         {
          "site": "Waseca",
          "variety": "Velvet",
          "year": 1931,
          "yield": 50.23333
         },
         {
          "site": "Morris",
          "variety": "Velvet",
          "year": 1931,
          "yield": 26.13333
         },
         {
          "site": "Crookston",
          "variety": "Velvet",
          "year": 1931,
          "yield": 41.33333
         },
         {
          "site": "Grand Rapids",
          "variety": "Velvet",
          "year": 1931,
          "yield": 23.03333
         },
         {
          "site": "Duluth",
          "variety": "Velvet",
          "year": 1931,
          "yield": 26.3
         },
         {
          "site": "University Farm",
          "variety": "Trebi",
          "year": 1931,
          "yield": 36.56666
         },
         {
          "site": "Waseca",
          "variety": "Trebi",
          "year": 1931,
          "yield": 63.8333
         },
         {
          "site": "Morris",
          "variety": "Trebi",
          "year": 1931,
          "yield": 43.76667
         },
         {
          "site": "Crookston",
          "variety": "Trebi",
          "year": 1931,
          "yield": 46.93333
         },
         {
          "site": "Grand Rapids",
          "variety": "Trebi",
          "year": 1931,
          "yield": 29.76667
         },
         {
          "site": "Duluth",
          "variety": "Trebi",
          "year": 1931,
          "yield": 33.93333
         },
         {
          "site": "University Farm",
          "variety": "No. 457",
          "year": 1931,
          "yield": 43.26667
         },
         {
          "site": "Waseca",
          "variety": "No. 457",
          "year": 1931,
          "yield": 58.1
         },
         {
          "site": "Morris",
          "variety": "No. 457",
          "year": 1931,
          "yield": 28.7
         },
         {
          "site": "Crookston",
          "variety": "No. 457",
          "year": 1931,
          "yield": 45.66667
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 457",
          "year": 1931,
          "yield": 32.16667
         },
         {
          "site": "Duluth",
          "variety": "No. 457",
          "year": 1931,
          "yield": 33.6
         },
         {
          "site": "University Farm",
          "variety": "No. 462",
          "year": 1931,
          "yield": 36.6
         },
         {
          "site": "Waseca",
          "variety": "No. 462",
          "year": 1931,
          "yield": 65.7667
         },
         {
          "site": "Morris",
          "variety": "No. 462",
          "year": 1931,
          "yield": 30.36667
         },
         {
          "site": "Crookston",
          "variety": "No. 462",
          "year": 1931,
          "yield": 48.56666
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 462",
          "year": 1931,
          "yield": 24.93334
         },
         {
          "site": "Duluth",
          "variety": "No. 462",
          "year": 1931,
          "yield": 28.1
         },
         {
          "site": "University Farm",
          "variety": "Peatland",
          "year": 1931,
          "yield": 32.76667
         },
         {
          "site": "Waseca",
          "variety": "Peatland",
          "year": 1931,
          "yield": 48.56666
         },
         {
          "site": "Morris",
          "variety": "Peatland",
          "year": 1931,
          "yield": 29.86667
         },
         {
          "site": "Crookston",
          "variety": "Peatland",
          "year": 1931,
          "yield": 41.6
         },
         {
          "site": "Grand Rapids",
          "variety": "Peatland",
          "year": 1931,
          "yield": 34.7
         },
         {
          "site": "Duluth",
          "variety": "Peatland",
          "year": 1931,
          "yield": 32
         },
         {
          "site": "University Farm",
          "variety": "No. 475",
          "year": 1931,
          "yield": 24.66667
         },
         {
          "site": "Waseca",
          "variety": "No. 475",
          "year": 1931,
          "yield": 46.76667
         },
         {
          "site": "Morris",
          "variety": "No. 475",
          "year": 1931,
          "yield": 22.6
         },
         {
          "site": "Crookston",
          "variety": "No. 475",
          "year": 1931,
          "yield": 44.1
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 475",
          "year": 1931,
          "yield": 19.7
         },
         {
          "site": "Duluth",
          "variety": "No. 475",
          "year": 1931,
          "yield": 33.06666
         },
         {
          "site": "University Farm",
          "variety": "Wisconsin No. 38",
          "year": 1931,
          "yield": 39.3
         },
         {
          "site": "Waseca",
          "variety": "Wisconsin No. 38",
          "year": 1931,
          "yield": 58.8
         },
         {
          "site": "Morris",
          "variety": "Wisconsin No. 38",
          "year": 1931,
          "yield": 29.46667
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         {
          "site": "Crookston",
          "variety": "Wisconsin No. 38",
          "year": 1931,
          "yield": 49.86667
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         {
          "site": "Grand Rapids",
          "variety": "Wisconsin No. 38",
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         {
          "site": "Duluth",
          "variety": "Wisconsin No. 38",
          "year": 1931,
          "yield": 31.6
         },
         {
          "site": "University Farm",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 26.9
         },
         {
          "site": "Waseca",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 33.46667
         },
         {
          "site": "Morris",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 34.36666
         },
         {
          "site": "Crookston",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 32.96667
         },
         {
          "site": "Grand Rapids",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 22.13333
         },
         {
          "site": "Duluth",
          "variety": "Manchuria",
          "year": 1932,
          "yield": 22.56667
         },
         {
          "site": "University Farm",
          "variety": "Glabron",
          "year": 1932,
          "yield": 36.8
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         {
          "site": "Waseca",
          "variety": "Glabron",
          "year": 1932,
          "yield": 37.73333
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         {
          "site": "Morris",
          "variety": "Glabron",
          "year": 1932,
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         {
          "site": "Crookston",
          "variety": "Glabron",
          "year": 1932,
          "yield": 26.16667
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         {
          "site": "Grand Rapids",
          "variety": "Glabron",
          "year": 1932,
          "yield": 14.43333
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         {
          "site": "Duluth",
          "variety": "Glabron",
          "year": 1932,
          "yield": 25.86667
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         {
          "site": "University Farm",
          "variety": "Svansota",
          "year": 1932,
          "yield": 27.43334
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         {
          "site": "Waseca",
          "variety": "Svansota",
          "year": 1932,
          "yield": 38.5
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         {
          "site": "Morris",
          "variety": "Svansota",
          "year": 1932,
          "yield": 35.03333
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          "year": 1932,
          "yield": 20.63333
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         {
          "site": "Grand Rapids",
          "variety": "Svansota",
          "year": 1932,
          "yield": 16.63333
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         {
          "site": "Duluth",
          "variety": "Svansota",
          "year": 1932,
          "yield": 22.23333
         },
         {
          "site": "University Farm",
          "variety": "Velvet",
          "year": 1932,
          "yield": 26.8
         },
         {
          "site": "Waseca",
          "variety": "Velvet",
          "year": 1932,
          "yield": 37.4
         },
         {
          "site": "Morris",
          "variety": "Velvet",
          "year": 1932,
          "yield": 38.83333
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         {
          "site": "Crookston",
          "variety": "Velvet",
          "year": 1932,
          "yield": 32.06666
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         {
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          "year": 1932,
          "yield": 32.23333
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         {
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          "variety": "Velvet",
          "year": 1932,
          "yield": 22.46667
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         {
          "site": "University Farm",
          "variety": "Trebi",
          "year": 1932,
          "yield": 29.06667
         },
         {
          "site": "Waseca",
          "variety": "Trebi",
          "year": 1932,
          "yield": 49.2333
         },
         {
          "site": "Morris",
          "variety": "Trebi",
          "year": 1932,
          "yield": 46.63333
         },
         {
          "site": "Crookston",
          "variety": "Trebi",
          "year": 1932,
          "yield": 41.83333
         },
         {
          "site": "Grand Rapids",
          "variety": "Trebi",
          "year": 1932,
          "yield": 20.63333
         },
         {
          "site": "Duluth",
          "variety": "Trebi",
          "year": 1932,
          "yield": 30.6
         },
         {
          "site": "University Farm",
          "variety": "No. 457",
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         {
          "site": "Waseca",
          "variety": "No. 457",
          "year": 1932,
          "yield": 42.2
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         {
          "site": "Morris",
          "variety": "No. 457",
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          "yield": 43.53334
         },
         {
          "site": "Crookston",
          "variety": "No. 457",
          "year": 1932,
          "yield": 34.33333
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 457",
          "year": 1932,
          "yield": 19.46667
         },
         {
          "site": "Duluth",
          "variety": "No. 457",
          "year": 1932,
          "yield": 22.7
         },
         {
          "site": "University Farm",
          "variety": "No. 462",
          "year": 1932,
          "yield": 25.56667
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         {
          "site": "Waseca",
          "variety": "No. 462",
          "year": 1932,
          "yield": 44.7
         },
         {
          "site": "Morris",
          "variety": "No. 462",
          "year": 1932,
          "yield": 47
         },
         {
          "site": "Crookston",
          "variety": "No. 462",
          "year": 1932,
          "yield": 30.53333
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 462",
          "year": 1932,
          "yield": 19.9
         },
         {
          "site": "Duluth",
          "variety": "No. 462",
          "year": 1932,
          "yield": 22.5
         },
         {
          "site": "University Farm",
          "variety": "Peatland",
          "year": 1932,
          "yield": 28.06667
         },
         {
          "site": "Waseca",
          "variety": "Peatland",
          "year": 1932,
          "yield": 36.03333
         },
         {
          "site": "Morris",
          "variety": "Peatland",
          "year": 1932,
          "yield": 43.2
         },
         {
          "site": "Crookston",
          "variety": "Peatland",
          "year": 1932,
          "yield": 25.23333
         },
         {
          "site": "Grand Rapids",
          "variety": "Peatland",
          "year": 1932,
          "yield": 26.76667
         },
         {
          "site": "Duluth",
          "variety": "Peatland",
          "year": 1932,
          "yield": 31.36667
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         {
          "site": "University Farm",
          "variety": "No. 475",
          "year": 1932,
          "yield": 30
         },
         {
          "site": "Waseca",
          "variety": "No. 475",
          "year": 1932,
          "yield": 41.26667
         },
         {
          "site": "Morris",
          "variety": "No. 475",
          "year": 1932,
          "yield": 44.23333
         },
         {
          "site": "Crookston",
          "variety": "No. 475",
          "year": 1932,
          "yield": 32.13333
         },
         {
          "site": "Grand Rapids",
          "variety": "No. 475",
          "year": 1932,
          "yield": 15.23333
         },
         {
          "site": "Duluth",
          "variety": "No. 475",
          "year": 1932,
          "yield": 27.36667
         },
         {
          "site": "University Farm",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 38
         },
         {
          "site": "Waseca",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 58.16667
         },
         {
          "site": "Morris",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 47.16667
         },
         {
          "site": "Crookston",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 35.9
         },
         {
          "site": "Grand Rapids",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 20.66667
         },
         {
          "site": "Duluth",
          "variety": "Wisconsin No. 38",
          "year": 1932,
          "yield": 29.33333
         }
        ]
       },
       "encoding": {
        "x": {
         "aggregate": "sum",
         "axis": {
          "tickCount": 10
         },
         "field": "yield",
         "type": "quantitative"
        },
        "y": {
         "field": "site",
         "sort": "-x",
         "type": "nominal"
        }
       },
       "mark": "bar",
       "title": {
        "subtitle": [
         "Yields over different regions",
         "and different years in the 1930s",
         " "
        ],
        "text": "Barley crops"
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(data.barley()).mark_bar().encode(\n",
    "    x=alt.X(\n",
    "        'sum(yield):Q',\n",
    "        axis=alt.Axis(tickCount=10)\n",
    "    ),\n",
    "    y=alt.Y('site:N', sort='-x')\n",
    ").properties(\n",
    "    title={\n",
    "        'text': 'Barley crops',\n",
    "        'subtitle' : ['Yields over different regions', 'and different years in the 1930s', ' ']\n",
    "    }\n",
    ") "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3e66bb39-39c1-4d2d-b0a7-744bd42a3b5c",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Line chart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7b6ba240-ac83-4323-a122-1440bae764ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
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         },
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         },
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         },
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         },
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         },
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         },
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          "Name": "mazda rx-4",
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         },
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          "Miles_per_Gallon": 43.1,
          "Name": "volkswagen rabbit custom diesel",
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         },
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         },
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         },
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          "Name": "datsun b210 gx",
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         },
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          "Year": "1978-01-01T00:00:00"
         },
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          "Name": "oldsmobile cutlass salon brougham",
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         },
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          "Horsepower": 140,
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 139,
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         },
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 95,
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          "Name": "chevrolet malibu",
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 85,
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          "Name": "ford fairmont (auto)",
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 88,
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          "Year": "1978-01-01T00:00:00"
         },
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          "Acceleration": 17.2,
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          "Horsepower": 100,
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 90,
          "Miles_per_Gallon": 19.4,
          "Name": "amc concord",
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          "Year": "1978-01-01T00:00:00"
         },
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          "Horsepower": 105,
          "Miles_per_Gallon": 20.6,
          "Name": "buick century special",
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          "Year": "1978-01-01T00:00:00"
         },
         {
          "Acceleration": 16.7,
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          "Horsepower": 85,
          "Miles_per_Gallon": 20.8,
          "Name": "mercury zephyr",
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          "Year": "1978-01-01T00:00:00"
         },
         {
          "Acceleration": 18.7,
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          "Displacement": 225,
          "Horsepower": 110,
          "Miles_per_Gallon": 18.6,
          "Name": "dodge aspen",
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          "Year": "1978-01-01T00:00:00"
         },
         {
          "Acceleration": 15.1,
          "Cylinders": 6,
          "Displacement": 258,
          "Horsepower": 120,
          "Miles_per_Gallon": 18.1,
          "Name": "amc concord d/l",
          "Origin": "USA",
          "Weight_in_lbs": 3410,
          "Year": "1978-01-01T00:00:00"
         },
         {
          "Acceleration": 13.2,
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          "Displacement": 305,
          "Horsepower": 145,
          "Miles_per_Gallon": 19.2,
          "Name": "chevrolet monte carlo landau",
          "Origin": "USA",
          "Weight_in_lbs": 3425,
          "Year": "1978-01-01T00:00:00"
         },
         {
          "Acceleration": 13.4,
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          "Displacement": 231,
          "Horsepower": 165,
          "Miles_per_Gallon": 17.7,
          "Name": "buick regal sport coupe (turbo)",
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         },
         {
          "Acceleration": 11.2,
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         },
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          "Acceleration": 13.7,
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         },
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          "Acceleration": 16.5,
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         },
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          "Acceleration": 16.7,
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         },
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          "Acceleration": 13.6,
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         },
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         },
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         },
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          "Acceleration": 16.6,
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          "Name": "honda Accelerationord lx",
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         },
         {
          "Acceleration": 15.4,
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         },
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          "Acceleration": 18.2,
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         },
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         },
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         },
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         },
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         },
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         },
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         },
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         },
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         },
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         },
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         },
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          "Acceleration": 11.3,
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          "Name": "chevrolet citation",
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          "Year": "1979-01-01T00:00:00"
         },
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          "Horsepower": 115,
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         },
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          "Name": "pontiac phoenix",
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          "Year": "1979-01-01T00:00:00"
         },
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          "Acceleration": 14.7,
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          "Horsepower": 76,
          "Miles_per_Gallon": 41.5,
          "Name": "vw rabbit",
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          "Year": "1980-01-01T00:00:00"
         },
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          "Acceleration": 18.8,
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          "Horsepower": 60,
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          "Name": "toyota corolla tercel",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
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          "Horsepower": 70,
          "Miles_per_Gallon": 32.1,
          "Name": "chevrolet chevette",
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          "Year": "1980-01-01T00:00:00"
         },
         {
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          "Miles_per_Gallon": 37.2,
          "Name": "datsun 310",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 16.5,
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          "Horsepower": 90,
          "Miles_per_Gallon": 28,
          "Name": "chevrolet citation",
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          "Year": "1980-01-01T00:00:00"
         },
         {
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          "Miles_per_Gallon": 26.4,
          "Name": "ford fairmont",
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          "Year": "1980-01-01T00:00:00"
         },
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          "Miles_per_Gallon": 24.3,
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          "Year": "1980-01-01T00:00:00"
         },
         {
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          "Miles_per_Gallon": 19.1,
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          "Year": "1980-01-01T00:00:00"
         },
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          "Acceleration": 15.8,
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          "Horsepower": 78,
          "Miles_per_Gallon": 34.3,
          "Name": "audi 4000",
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          "Weight_in_lbs": 2188,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.5,
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          "Horsepower": 90,
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          "Name": "toyota corona liftback",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.5,
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          "Horsepower": 75,
          "Miles_per_Gallon": 31.3,
          "Name": "mazda 626",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15,
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          "Horsepower": 92,
          "Miles_per_Gallon": 37,
          "Name": "datsun 510 hatchback",
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          "Weight_in_lbs": 2434,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.2,
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          "Horsepower": 75,
          "Miles_per_Gallon": 32.2,
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.9,
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          "Horsepower": 65,
          "Miles_per_Gallon": 46.6,
          "Name": "mazda glc",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 14.4,
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          "Horsepower": 105,
          "Miles_per_Gallon": 27.9,
          "Name": "dodge colt",
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 19.2,
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          "Horsepower": 65,
          "Miles_per_Gallon": 40.8,
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          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 21.7,
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          "Horsepower": 48,
          "Miles_per_Gallon": 44.3,
          "Name": "vw rabbit c (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2085,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 23.7,
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          "Horsepower": 48,
          "Miles_per_Gallon": 43.4,
          "Name": "vw dasher (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2335,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 19.9,
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          "Horsepower": 67,
          "Miles_per_Gallon": 36.4,
          "Name": "audi 5000s (diesel)",
          "Origin": "Europe",
          "Weight_in_lbs": 2950,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 21.8,
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          "Horsepower": 67,
          "Miles_per_Gallon": 30,
          "Name": "mercedes-benz 240d",
          "Origin": "Europe",
          "Weight_in_lbs": 3250,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 13.8,
          "Cylinders": 4,
          "Displacement": 91,
          "Horsepower": 67,
          "Miles_per_Gallon": 44.6,
          "Name": "honda civic 1500 gl",
          "Origin": "Japan",
          "Weight_in_lbs": 1850,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17.3,
          "Cylinders": 4,
          "Displacement": 85,
          "Horsepower": null,
          "Miles_per_Gallon": 40.9,
          "Name": "renault lecar deluxe",
          "Origin": "Europe",
          "Weight_in_lbs": 1835,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 18,
          "Cylinders": 4,
          "Displacement": 97,
          "Horsepower": 67,
          "Miles_per_Gallon": 33.8,
          "Name": "subaru dl",
          "Origin": "Japan",
          "Weight_in_lbs": 2145,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.3,
          "Cylinders": 4,
          "Displacement": 89,
          "Horsepower": 62,
          "Miles_per_Gallon": 29.8,
          "Name": "vokswagen rabbit",
          "Origin": "Europe",
          "Weight_in_lbs": 1845,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 11.4,
          "Cylinders": 6,
          "Displacement": 168,
          "Horsepower": 132,
          "Miles_per_Gallon": 32.7,
          "Name": "datsun 280-zx",
          "Origin": "Japan",
          "Weight_in_lbs": 2910,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 12.5,
          "Cylinders": 3,
          "Displacement": 70,
          "Horsepower": 100,
          "Miles_per_Gallon": 23.7,
          "Name": "mazda rx-7 gs",
          "Origin": "Japan",
          "Weight_in_lbs": 2420,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 15.1,
          "Cylinders": 4,
          "Displacement": 122,
          "Horsepower": 88,
          "Miles_per_Gallon": 35,
          "Name": "triumph tr7 coupe",
          "Origin": "Europe",
          "Weight_in_lbs": 2500,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 14.3,
          "Cylinders": 4,
          "Displacement": 140,
          "Horsepower": null,
          "Miles_per_Gallon": 23.6,
          "Name": "ford mustang cobra",
          "Origin": "USA",
          "Weight_in_lbs": 2905,
          "Year": "1980-01-01T00:00:00"
         },
         {
          "Acceleration": 17,
          "Cylinders": 4,
          "Displacement": 107,
          "Horsepower": 72,
          "Miles_per_Gallon": 32.4,
          "Name": "honda Accelerationord",
          "Origin": "Japan",
          "Weight_in_lbs": 2290,
          "Year": "1980-01-01T00:00:00"
         }
        ]
       },
       "encoding": {
        "x": {
         "field": "Year",
         "timeUnit": "year",
         "type": "ordinal"
        },
        "y": {
         "aggregate": "mean",
         "field": "Miles_per_Gallon",
         "type": "quantitative"
        }
       },
       "mark": "line",
       "title": {
        "subtitle": [
         "Average fuel efficiency by miles per",
         "gallon of different makes and models",
         "of cars since 1970.",
         " "
        ],
        "text": "Cars"
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(cars).mark_line().encode(\n",
    "    x=alt.X('year(Year):O'), # wrap `Year` column with Altair's year() fn, then type as :O[rdinal] for proper display\n",
    "    y=alt.Y('mean(Miles_per_Gallon)'),\n",
    ").properties(\n",
    "    title={\n",
    "        'text': 'Cars',\n",
    "        'subtitle' : ['Average fuel efficiency by miles per', 'gallon of different makes and models', 'of cars since 1970.', ' ']\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0effa591-ad4b-4ea5-83f3-be4a2af55510",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Scatterplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5c5023cc-2b4a-434d-8082-09933a73d0e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
        },
        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
        },
        "point": {
         "stroke": "#0077bb"
        },
        "rect": {
         "fill": "#0077bb"
        },
        "shape": {
         "stroke": "#0077bb"
        },
        "symbol": {
         "fill": "#0077bb",
         "size": 30
        },
        "title": {
         "align": "left",
         "anchor": "start",
         "color": "#222222",
         "font": "Tenon",
         "fontSize": 28,
         "fontWeight": 500,
         "subtitleColor": "#222222",
         "subtitleFont": "Tenon",
         "subtitleFontSize": 20,
         "subtitleFontWeight": 300,
         "subtitleLineHeight": 24,
         "subtitlePadding": 10
        },
        "view": {
         "height": 500,
         "strokeOpacity": 0,
         "width": 320
        }
       },
       "data": {
        "name": "data-a264acbd6e539a8b3afc0cb5f240fb57"
       },
       "datasets": {
        "data-a264acbd6e539a8b3afc0cb5f240fb57": [
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 5.1,
          "sepalWidth": 3.5,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 4.9,
          "sepalWidth": 3,
          "species": "setosa"
         },
         {
          "petalLength": 1.3,
          "petalWidth": 0.2,
          "sepalLength": 4.7,
          "sepalWidth": 3.2,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.2,
          "sepalLength": 4.6,
          "sepalWidth": 3.1,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 5,
          "sepalWidth": 3.6,
          "species": "setosa"
         },
         {
          "petalLength": 1.7000000000000002,
          "petalWidth": 0.4,
          "sepalLength": 5.4,
          "sepalWidth": 3.9,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.30000000000000004,
          "sepalLength": 4.6,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.2,
          "sepalLength": 5,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.2,
          "sepalLength": 4.4,
          "sepalWidth": 2.9,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.1,
          "sepalLength": 4.9,
          "sepalWidth": 3.1,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.2,
          "sepalLength": 5.4,
          "sepalWidth": 3.7,
          "species": "setosa"
         },
         {
          "petalLength": 1.6,
          "petalWidth": 0.2,
          "sepalLength": 4.8,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.1,
          "sepalLength": 4.8,
          "sepalWidth": 3,
          "species": "setosa"
         },
         {
          "petalLength": 1.1,
          "petalWidth": 0.1,
          "sepalLength": 4.3,
          "sepalWidth": 3,
          "species": "setosa"
         },
         {
          "petalLength": 1.2,
          "petalWidth": 0.2,
          "sepalLength": 5.8,
          "sepalWidth": 4,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.4,
          "sepalLength": 5.7,
          "sepalWidth": 4.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.3,
          "petalWidth": 0.4,
          "sepalLength": 5.4,
          "sepalWidth": 3.9,
          "species": "setosa"
         },
         {
          "petalLength": 1.4,
          "petalWidth": 0.30000000000000004,
          "sepalLength": 5.1,
          "sepalWidth": 3.5,
          "species": "setosa"
         },
         {
          "petalLength": 1.7000000000000002,
          "petalWidth": 0.30000000000000004,
          "sepalLength": 5.7,
          "sepalWidth": 3.8,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.30000000000000004,
          "sepalLength": 5.1,
          "sepalWidth": 3.8,
          "species": "setosa"
         },
         {
          "petalLength": 1.7000000000000002,
          "petalWidth": 0.2,
          "sepalLength": 5.4,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.5,
          "petalWidth": 0.4,
          "sepalLength": 5.1,
          "sepalWidth": 3.7,
          "species": "setosa"
         },
         {
          "petalLength": 1,
          "petalWidth": 0.2,
          "sepalLength": 4.6,
          "sepalWidth": 3.6,
          "species": "setosa"
         },
         {
          "petalLength": 1.7000000000000002,
          "petalWidth": 0.5,
          "sepalLength": 5.1,
          "sepalWidth": 3.3,
          "species": "setosa"
         },
         {
          "petalLength": 1.9,
          "petalWidth": 0.2,
          "sepalLength": 4.8,
          "sepalWidth": 3.4,
          "species": "setosa"
         },
         {
          "petalLength": 1.6,
          "petalWidth": 0.2,
          "sepalLength": 5,
          "sepalWidth": 3,
          "species": "setosa"
         },
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         "type": "nominal"
        },
        "x": {
         "field": "petalWidth",
         "type": "quantitative"
        },
        "y": {
         "field": "petalLength",
         "type": "quantitative"
        }
       },
       "mark": "point",
       "title": {
        "subtitle": [
         "Lengths and widths of petals and",
         "sepals for 150 iris flowers.",
         " "
        ],
        "text": "Irises"
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(data.iris()).mark_point().encode(\n",
    "    x='petalWidth',\n",
    "    y='petalLength',\n",
    "    color=alt.Color('species', scale=alt.Scale(scheme='dark2'))\n",
    "    \n",
    "    # add a title to the legend if needed\n",
    "    # color=alt.Color('species', scale=alt.Scale(scheme='dark2'), title='Species')\n",
    "    # Key squares are oddly outlined in Altair but should be filled in Illustrator\n",
    ").configure_axisY( # adding some colors back to the scatterplot\n",
    "    domainColor='#666666',\n",
    "    tickColor='#666666',\n",
    ").properties(\n",
    "    title={\n",
    "        'text': 'Irises',\n",
    "        'subtitle' : ['Lengths and widths of petals and','sepals for 150 iris flowers.',' ']\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1d49038e-5e1c-4bfc-a910-63f5707065e0",
   "metadata": {},
   "source": [
    "## Step chart\n",
    "\n",
    "The chart below might need some modifications with the tick marks in production."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cd575303-eac0-40eb-b7c0-74b88dbfff21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#f9f9f9",
         "tickColor": "#f9f9f9"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
        },
        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
        },
        "point": {
         "stroke": "#0077bb"
        },
        "rect": {
         "fill": "#0077bb"
        },
        "shape": {
         "stroke": "#0077bb"
        },
        "symbol": {
         "fill": "#0077bb",
         "size": 30
        },
        "title": {
         "align": "left",
         "anchor": "start",
         "color": "#222222",
         "font": "Tenon",
         "fontSize": 28,
         "fontWeight": 500,
         "subtitleColor": "#222222",
         "subtitleFont": "Tenon",
         "subtitleFontSize": 20,
         "subtitleFontWeight": 300,
         "subtitleLineHeight": 24,
         "subtitlePadding": 10
        },
        "view": {
         "height": 500,
         "strokeOpacity": 0,
         "width": 320
        }
       },
       "data": {
        "name": "data-96e857a61c6b623bafe23440d582a500"
       },
       "datasets": {
        "data-96e857a61c6b623bafe23440d582a500": [
         {
          "date": "2000-01-01T00:00:00",
          "price": 39.81,
          "symbol": "MSFT"
         },
         {
          "date": "2000-02-01T00:00:00",
          "price": 36.35,
          "symbol": "MSFT"
         },
         {
          "date": "2000-03-01T00:00:00",
          "price": 43.22,
          "symbol": "MSFT"
         },
         {
          "date": "2000-04-01T00:00:00",
          "price": 28.37,
          "symbol": "MSFT"
         },
         {
          "date": "2000-05-01T00:00:00",
          "price": 25.45,
          "symbol": "MSFT"
         },
         {
          "date": "2000-06-01T00:00:00",
          "price": 32.54,
          "symbol": "MSFT"
         },
         {
          "date": "2000-07-01T00:00:00",
          "price": 28.4,
          "symbol": "MSFT"
         },
         {
          "date": "2000-08-01T00:00:00",
          "price": 28.4,
          "symbol": "MSFT"
         },
         {
          "date": "2000-09-01T00:00:00",
          "price": 24.53,
          "symbol": "MSFT"
         },
         {
          "date": "2000-10-01T00:00:00",
          "price": 28.02,
          "symbol": "MSFT"
         },
         {
          "date": "2000-11-01T00:00:00",
          "price": 23.34,
          "symbol": "MSFT"
         },
         {
          "date": "2000-12-01T00:00:00",
          "price": 17.65,
          "symbol": "MSFT"
         },
         {
          "date": "2001-01-01T00:00:00",
          "price": 24.84,
          "symbol": "MSFT"
         },
         {
          "date": "2001-02-01T00:00:00",
          "price": 24,
          "symbol": "MSFT"
         },
         {
          "date": "2001-03-01T00:00:00",
          "price": 22.25,
          "symbol": "MSFT"
         },
         {
          "date": "2001-04-01T00:00:00",
          "price": 27.56,
          "symbol": "MSFT"
         },
         {
          "date": "2001-05-01T00:00:00",
          "price": 28.14,
          "symbol": "MSFT"
         },
         {
          "date": "2001-06-01T00:00:00",
          "price": 29.7,
          "symbol": "MSFT"
         },
         {
          "date": "2001-07-01T00:00:00",
          "price": 26.93,
          "symbol": "MSFT"
         },
         {
          "date": "2001-08-01T00:00:00",
          "price": 23.21,
          "symbol": "MSFT"
         },
         {
          "date": "2001-09-01T00:00:00",
          "price": 20.82,
          "symbol": "MSFT"
         },
         {
          "date": "2001-10-01T00:00:00",
          "price": 23.65,
          "symbol": "MSFT"
         },
         {
          "date": "2001-11-01T00:00:00",
          "price": 26.12,
          "symbol": "MSFT"
         },
         {
          "date": "2001-12-01T00:00:00",
          "price": 26.95,
          "symbol": "MSFT"
         },
         {
          "date": "2002-01-01T00:00:00",
          "price": 25.92,
          "symbol": "MSFT"
         },
         {
          "date": "2002-02-01T00:00:00",
          "price": 23.73,
          "symbol": "MSFT"
         },
         {
          "date": "2002-03-01T00:00:00",
          "price": 24.53,
          "symbol": "MSFT"
         },
         {
          "date": "2002-04-01T00:00:00",
          "price": 21.26,
          "symbol": "MSFT"
         },
         {
          "date": "2002-05-01T00:00:00",
          "price": 20.71,
          "symbol": "MSFT"
         },
         {
          "date": "2002-06-01T00:00:00",
          "price": 22.25,
          "symbol": "MSFT"
         },
         {
          "date": "2002-07-01T00:00:00",
          "price": 19.52,
          "symbol": "MSFT"
         },
         {
          "date": "2002-08-01T00:00:00",
          "price": 19.97,
          "symbol": "MSFT"
         },
         {
          "date": "2002-09-01T00:00:00",
          "price": 17.79,
          "symbol": "MSFT"
         },
         {
          "date": "2002-10-01T00:00:00",
          "price": 21.75,
          "symbol": "MSFT"
         },
         {
          "date": "2002-11-01T00:00:00",
          "price": 23.46,
          "symbol": "MSFT"
         },
         {
          "date": "2002-12-01T00:00:00",
          "price": 21.03,
          "symbol": "MSFT"
         },
         {
          "date": "2003-01-01T00:00:00",
          "price": 19.31,
          "symbol": "MSFT"
         },
         {
          "date": "2003-02-01T00:00:00",
          "price": 19.34,
          "symbol": "MSFT"
         },
         {
          "date": "2003-03-01T00:00:00",
          "price": 19.76,
          "symbol": "MSFT"
         },
         {
          "date": "2003-04-01T00:00:00",
          "price": 20.87,
          "symbol": "MSFT"
         },
         {
          "date": "2003-05-01T00:00:00",
          "price": 20.09,
          "symbol": "MSFT"
         },
         {
          "date": "2003-06-01T00:00:00",
          "price": 20.93,
          "symbol": "MSFT"
         },
         {
          "date": "2003-07-01T00:00:00",
          "price": 21.56,
          "symbol": "MSFT"
         },
         {
          "date": "2003-08-01T00:00:00",
          "price": 21.65,
          "symbol": "MSFT"
         },
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       },
       "mark": {
        "interpolate": "step-after",
        "line": true,
        "type": "area"
       },
       "title": {
        "subtitle": [
         "Daily closing stock prices for GOOG",
         "between 2000 and 2010.",
         " "
        ],
        "text": "Google Stocks"
       },
       "transform": [
        {
         "filter": "(datum.symbol === 'GOOG')"
        }
       ]
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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(data.stocks()).mark_area(\n",
    "        interpolate='step-after',\n",
    "        line=True\n",
    "    ).encode(\n",
    "        x=alt.X('yearmonth(date):T'),\n",
    "        y='price'\n",
    "    ).transform_filter(\n",
    "        alt.datum.symbol == 'GOOG'\n",
    "    ).properties(\n",
    "        title={\n",
    "            'text': 'Google Stocks',\n",
    "            'subtitle' : ['Daily closing stock prices for GOOG','between 2000 and 2010.',' ']\n",
    "        }\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3aee4f7e-1edb-4988-b53d-c6f3c148e246",
   "metadata": {},
   "source": [
    "## Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "42f87543-9766-4ef2-8c05-08e2dae4699e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
        },
        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
        },
        "point": {
         "stroke": "#0077bb"
        },
        "rect": {
         "fill": "#0077bb"
        },
        "shape": {
         "stroke": "#0077bb"
        },
        "symbol": {
         "fill": "#0077bb",
         "size": 30
        },
        "title": {
         "align": "left",
         "anchor": "start",
         "color": "#222222",
         "font": "Tenon",
         "fontSize": 28,
         "fontWeight": 500,
         "subtitleColor": "#222222",
         "subtitleFont": "Tenon",
         "subtitleFontSize": 20,
         "subtitleFontWeight": 300,
         "subtitleLineHeight": 24,
         "subtitlePadding": 10
        },
        "view": {
         "height": 500,
         "strokeOpacity": 0,
         "width": 320
        }
       },
       "data": {
        "name": "data-29152d9ab7dcda1a65f1895ba9b7cc51"
       },
       "datasets": {
        "data-29152d9ab7dcda1a65f1895ba9b7cc51": [
         {
          "date": "2010-01-01T00:00:00",
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          "date": "2010-01-10T12:00:00",
          "temp": 43.5
         },
         {
          "date": "2010-01-10T13:00:00",
          "temp": 44.2
         },
         {
          "date": "2010-01-10T14:00:00",
          "temp": 44.7
         },
         {
          "date": "2010-01-10T15:00:00",
          "temp": 44.6
         },
         {
          "date": "2010-01-10T16:00:00",
          "temp": 44
         },
         {
          "date": "2010-01-10T17:00:00",
          "temp": 42.8
         },
         {
          "date": "2010-01-10T18:00:00",
          "temp": 42.2
         },
         {
          "date": "2010-01-10T19:00:00",
          "temp": 42
         },
         {
          "date": "2010-01-10T20:00:00",
          "temp": 41.8
         },
         {
          "date": "2010-01-10T21:00:00",
          "temp": 41.5
         },
         {
          "date": "2010-01-10T22:00:00",
          "temp": 41.2
         },
         {
          "date": "2010-01-10T23:00:00",
          "temp": 41
         },
         {
          "date": "2010-01-11T00:00:00",
          "temp": 40.6
         },
         {
          "date": "2010-01-11T01:00:00",
          "temp": 40.3
         },
         {
          "date": "2010-01-11T02:00:00",
          "temp": 40.1
         },
         {
          "date": "2010-01-11T03:00:00",
          "temp": 39.9
         },
         {
          "date": "2010-01-11T04:00:00",
          "temp": 39.7
         },
         {
          "date": "2010-01-11T05:00:00",
          "temp": 39.5
         },
         {
          "date": "2010-01-11T06:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-11T07:00:00",
          "temp": 39.5
         },
         {
          "date": "2010-01-11T08:00:00",
          "temp": 39.5
         },
         {
          "date": "2010-01-11T09:00:00",
          "temp": 40.1
         },
         {
          "date": "2010-01-11T10:00:00",
          "temp": 41.2
         },
         {
          "date": "2010-01-11T11:00:00",
          "temp": 42.4
         },
         {
          "date": "2010-01-11T12:00:00",
          "temp": 43.6
         },
         {
          "date": "2010-01-11T13:00:00",
          "temp": 44.4
         },
         {
          "date": "2010-01-11T14:00:00",
          "temp": 44.8
         },
         {
          "date": "2010-01-11T15:00:00",
          "temp": 44.8
         },
         {
          "date": "2010-01-11T16:00:00",
          "temp": 44.1
         },
         {
          "date": "2010-01-11T17:00:00",
          "temp": 42.9
         },
         {
          "date": "2010-01-11T18:00:00",
          "temp": 42.3
         },
         {
          "date": "2010-01-11T19:00:00",
          "temp": 42.1
         },
         {
          "date": "2010-01-11T20:00:00",
          "temp": 41.9
         },
         {
          "date": "2010-01-11T21:00:00",
          "temp": 41.6
         },
         {
          "date": "2010-01-11T22:00:00",
          "temp": 41.3
         },
         {
          "date": "2010-01-11T23:00:00",
          "temp": 41.1
         },
         {
          "date": "2010-01-12T00:00:00",
          "temp": 40.7
         },
         {
          "date": "2010-01-12T01:00:00",
          "temp": 40.4
         },
         {
          "date": "2010-01-12T02:00:00",
          "temp": 40.2
         },
         {
          "date": "2010-01-12T03:00:00",
          "temp": 39.9
         },
         {
          "date": "2010-01-12T04:00:00",
          "temp": 39.7
         },
         {
          "date": "2010-01-12T05:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-12T06:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-12T07:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-12T08:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-12T09:00:00",
          "temp": 40.1
         },
         {
          "date": "2010-01-12T10:00:00",
          "temp": 41.2
         },
         {
          "date": "2010-01-12T11:00:00",
          "temp": 42.5
         },
         {
          "date": "2010-01-12T12:00:00",
          "temp": 43.6
         },
         {
          "date": "2010-01-12T13:00:00",
          "temp": 44.4
         },
         {
          "date": "2010-01-12T14:00:00",
          "temp": 44.9
         },
         {
          "date": "2010-01-12T15:00:00",
          "temp": 44.9
         },
         {
          "date": "2010-01-12T16:00:00",
          "temp": 44.3
         },
         {
          "date": "2010-01-12T17:00:00",
          "temp": 43
         },
         {
          "date": "2010-01-12T18:00:00",
          "temp": 42.4
         },
         {
          "date": "2010-01-12T19:00:00",
          "temp": 42.2
         },
         {
          "date": "2010-01-12T20:00:00",
          "temp": 42
         },
         {
          "date": "2010-01-12T21:00:00",
          "temp": 41.6
         },
         {
          "date": "2010-01-12T22:00:00",
          "temp": 41.3
         },
         {
          "date": "2010-01-12T23:00:00",
          "temp": 41.1
         },
         {
          "date": "2010-01-13T00:00:00",
          "temp": 40.7
         },
         {
          "date": "2010-01-13T01:00:00",
          "temp": 40.4
         },
         {
          "date": "2010-01-13T02:00:00",
          "temp": 40.2
         },
         {
          "date": "2010-01-13T03:00:00",
          "temp": 40
         },
         {
          "date": "2010-01-13T04:00:00",
          "temp": 39.8
         },
         {
          "date": "2010-01-13T05:00:00",
          "temp": 39.6
         },
         {
          "date": "2010-01-13T06:00:00",
          "temp": 39.7
         },
         {
          "date": "2010-01-13T07:00:00",
          "temp": 39.7
         },
         {
          "date": "2010-01-13T08:00:00",
          "temp": 39.7
         },
         {
          "date": "2010-01-13T09:00:00",
          "temp": 40.3
         },
         {
          "date": "2010-01-13T10:00:00",
          "temp": 41.4
         },
         {
          "date": "2010-01-13T11:00:00",
          "temp": 42.7
         },
         {
          "date": "2010-01-13T12:00:00",
          "temp": 43.8
         },
         {
          "date": "2010-01-13T13:00:00",
          "temp": 44.6
         },
         {
          "date": "2010-01-13T14:00:00",
          "temp": 45.1
         },
         {
          "date": "2010-01-13T15:00:00",
          "temp": 45.1
         },
         {
          "date": "2010-01-13T16:00:00",
          "temp": 44.5
         },
         {
          "date": "2010-01-13T17:00:00",
          "temp": 43.3
         },
         {
          "date": "2010-01-13T18:00:00",
          "temp": 42.6
         },
         {
          "date": "2010-01-13T19:00:00",
          "temp": 42.5
         },
         {
          "date": "2010-01-13T20:00:00",
          "temp": 42.2
         },
         {
          "date": "2010-01-13T21:00:00",
          "temp": 41.8
         },
         {
          "date": "2010-01-13T22:00:00",
          "temp": 41.5
         },
         {
          "date": "2010-01-13T23:00:00",
          "temp": 41.3
         },
         {
          "date": "2010-01-14T00:00:00",
          "temp": 40.9
         },
         {
          "date": "2010-01-14T01:00:00",
          "temp": 40.6
         },
         {
          "date": "2010-01-14T02:00:00",
          "temp": 40.4
         },
         {
          "date": "2010-01-14T03:00:00",
          "temp": 40.2
         },
         {
          "date": "2010-01-14T04:00:00",
          "temp": 39.9
         },
         {
          "date": "2010-01-14T05:00:00",
          "temp": 39.8
         },
         {
          "date": "2010-01-14T06:00:00",
          "temp": 39.8
         },
         {
          "date": "2010-01-14T07:00:00",
          "temp": 39.8
         },
         {
          "date": "2010-01-14T08:00:00",
          "temp": 39.8
         },
         {
          "date": "2010-01-14T09:00:00",
          "temp": 40.4
         },
         {
          "date": "2010-01-14T10:00:00",
          "temp": 41.5
         },
         {
          "date": "2010-01-14T11:00:00",
          "temp": 42.8
         },
         {
          "date": "2010-01-14T12:00:00",
          "temp": 43.9
         },
         {
          "date": "2010-01-14T13:00:00",
          "temp": 44.8
         },
         {
          "date": "2010-01-14T14:00:00",
          "temp": 45.2
         },
         {
          "date": "2010-01-14T15:00:00",
          "temp": 45.2
         },
         {
          "date": "2010-01-14T16:00:00",
          "temp": 44.6
         },
         {
          "date": "2010-01-14T17:00:00",
          "temp": 43.4
         },
         {
          "date": "2010-01-14T18:00:00",
          "temp": 42.7
         },
         {
          "date": "2010-01-14T19:00:00",
          "temp": 42.5
         },
         {
          "date": "2010-01-14T20:00:00",
          "temp": 42.1
         },
         {
          "date": "2010-01-14T21:00:00",
          "temp": 41.8
         },
         {
          "date": "2010-01-14T22:00:00",
          "temp": 41.5
         },
         {
          "date": "2010-01-14T23:00:00",
          "temp": 41.3
         }
        ]
       },
       "encoding": {
        "color": {
         "field": "temp",
         "title": "Temperature (F)",
         "type": "quantitative"
        },
        "x": {
         "field": "date",
         "timeUnit": "hoursminutes",
         "type": "ordinal"
        },
        "y": {
         "axis": {
          "format": "%Y"
         },
         "field": "date",
         "timeUnit": "monthdate",
         "type": "ordinal"
        }
       },
       "height": 180,
       "mark": "rect",
       "title": {
        "subtitle": [
         "Hourly temperatures in Seattle during",
         "the first two weeks of 2010.",
         " "
        ],
        "text": "Seattle temperatures"
       }
      },
      "image/png": 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",
      "text/plain": [
       "<VegaLite 4 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": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temps = data.seattle_temps()\n",
    "temps = temps[temps.date < '2010-01-15'].copy()\n",
    "alt.Chart(temps).mark_rect(\n",
    ").encode(\n",
    "    alt.X('hoursminutes(date):O'),\n",
    "    alt.Y('monthdate(date):O', axis=alt.Axis(format='%Y')), # format follows d3-time-format \n",
    "    alt.Color('temp:Q', title='Temperature (F)')\n",
    ").configure_axisY( # adding some colors for clarity\n",
    "    domainColor='#666666',\n",
    "    tickColor='#666666',\n",
    ").properties(\n",
    "    height=180, # adjust height to get neat squares\n",
    "    title={\n",
    "        'text': 'Seattle temperatures',\n",
    "        'subtitle' : ['Hourly temperatures in Seattle during','the first two weeks of 2010.',' ']\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27d33a45-841d-410b-9f21-863de6ba44e5",
   "metadata": {},
   "source": [
    "## Small multiple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "85295822-cd7d-4b23-b804-8119daa33f48",
   "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>Entity</th>\n",
       "      <th>Year</th>\n",
       "      <th>Deaths</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Drought</td>\n",
       "      <td>2010</td>\n",
       "      <td>20000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Earthquake</td>\n",
       "      <td>2010</td>\n",
       "      <td>226733.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Epidemic</td>\n",
       "      <td>2010</td>\n",
       "      <td>12143.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Extreme temperature</td>\n",
       "      <td>2010</td>\n",
       "      <td>57188.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Extreme weather</td>\n",
       "      <td>2010</td>\n",
       "      <td>1564.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Flood</td>\n",
       "      <td>2017</td>\n",
       "      <td>648.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Landslide</td>\n",
       "      <td>2017</td>\n",
       "      <td>405.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Mass movement (dry)</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Volcanic activity</td>\n",
       "      <td>2017</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Wildfire</td>\n",
       "      <td>2017</td>\n",
       "      <td>75.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 Entity  Year    Deaths\n",
       "0               Drought  2010   20000.0\n",
       "1            Earthquake  2010  226733.0\n",
       "2              Epidemic  2010   12143.0\n",
       "3   Extreme temperature  2010   57188.0\n",
       "4       Extreme weather  2010    1564.0\n",
       "..                  ...   ...       ...\n",
       "65                Flood  2017     648.0\n",
       "66            Landslide  2017     405.0\n",
       "67  Mass movement (dry)  2017       0.0\n",
       "68    Volcanic activity  2017       0.0\n",
       "69             Wildfire  2017      75.0\n",
       "\n",
       "[70 rows x 3 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "disasters = data.disasters()\n",
    "disasters = disasters[\n",
    "    (disasters['Year'] >= 2010) & \n",
    "    (disasters['Entity'] != 'All natural disasters')\n",
    "].reset_index(drop=True)\n",
    "\n",
    "# Pivot and melt the data so that we can generate rows for 0 deaths.\n",
    "# Makes the following chart more uniform when using `resolve_scale`.\n",
    "disasters_pivot = disasters.pivot_table(index='Entity', columns='Year', values='Deaths').reset_index()\n",
    "disasters_pivot = disasters_pivot.fillna(0)\n",
    "disasters_melt = pd.melt(disasters_pivot, id_vars='Entity', value_vars=[2010, 2011, 2012, 2012, 2014, 2015, 2016, 2017], value_name='Deaths')\n",
    "disasters_melt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "5af342e2-09fc-4f34-b847-3794a3a6bda8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.vegalite.v4+json": {
       "$schema": "https://vega.github.io/schema/vega-lite/v4.17.0.json",
       "columns": 2,
       "config": {
        "arc": {
         "fill": "#0077bb"
        },
        "area": {
         "fill": "#0077bb"
        },
        "axis": {
         "gridColor": "#dddddd",
         "labelColor": "#666666",
         "labelFlush": false,
         "labelFont": "Tenon",
         "labelFontSize": 13,
         "labelFontWeight": 400,
         "labelPadding": 5,
         "tickSize": 6,
         "title": null,
         "titleColor": "#666666",
         "titleFontWeight": 300
        },
        "axisX": {
         "domainColor": "#666666",
         "tickColor": "#666666"
        },
        "axisY": {
         "domainColor": "#f9f9f9",
         "tickColor": "#f9f9f9"
        },
        "background": "#f9f9f9",
        "bar": {
         "fill": "#0077bb"
        },
        "legend": {
         "columnPadding": 20,
         "direction": "horizontal",
         "labelAlign": "left",
         "labelBaseline": "middle",
         "labelColor": "#222222",
         "labelFont": "Tenon",
         "labelFontSize": 16,
         "labelFontWeight": 300,
         "offset": 40,
         "orient": "top",
         "rowPadding": 10,
         "symbolType": "square",
         "title": null,
         "titleFont": "Tenon",
         "titleFontSize": 16,
         "titleFontWeight": 400
        },
        "line": {
         "stroke": "#0077bb",
         "strokeWidth": 3
        },
        "padding": {
         "bottom": 80,
         "left": 20,
         "right": 20,
         "top": 20
        },
        "path": {
         "stroke": "#0077bb"
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",
      "text/plain": [
       "<VegaLite 4 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": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "alt.Chart(disasters_melt).mark_bar().encode(\n",
    "    x=alt.X('Year:O', axis=alt.Axis(labelAngle=0)), # labelAngle is rotated because `Year` is int not actual datetime object\n",
    "    y=alt.Y('Deaths:Q', axis=alt.Axis(format='s')) # format follows d3-format: turns 100,000 to 100k.  \n",
    ").properties(\n",
    "    height=100 # height here deals with the height of each facet chart\n",
    ").facet(\n",
    "    facet=alt.Facet('Entity', \n",
    "        title=None,\n",
    "        header=alt.Header(\n",
    "            labelAnchor='start',\n",
    "            labelFont='Tenon',\n",
    "            labelFontSize=16,\n",
    "            labelFontWeight=300,\n",
    "            labelColor=altair_reveal.palette['black']\n",
    "        )\n",
    "    ),\n",
    "    columns=2, # columns=1 for mobile view\n",
    "    spacing=40,\n",
    "    title={\n",
    "        'text': 'Natural Disasters',\n",
    "        'subtitle' : ['Natural disasters from 2010 to 2017.', ' ']\n",
    "    }\n",
    ").resolve_scale(\n",
    "    x='independent'\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}