EDA_ChicagoCrime.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis of Chicago Crime With Bokeh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
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       "      cell.notebook.kernel.execute(cmd, {\n",
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       "\n",
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       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
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       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = js_urls.length;\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
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       "      s.onreadystatechange = s.onload = function() {\n",
       "        root._bokeh_is_loading--;\n",
       "        if (root._bokeh_is_loading === 0) {\n",
       "          console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "          run_callbacks()\n",
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       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
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       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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       "  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.0.4.min.js\"];\n",
       "\n",
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       "    \n",
       "    function(Bokeh) {\n",
       "      (function(root, factory) {\n",
       "      //  if(typeof exports === 'object' && typeof module === 'object')\n",
       "      //    factory(require(\"Bokeh\"));\n",
       "      //  else if(typeof define === 'function' && define.amd)\n",
       "      //    define([\"Bokeh\"], factory);\n",
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       "        } else {\n",
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       "      ({\n",
       "        \"custom/main\": function(require, module, exports) {\n",
       "          var models = {\n",
       "            \"MyTicker\": require(\"custom/my_ticker\").MyTicker\n",
       "          };\n",
       "          require(\"base\").register_models(models);\n",
       "          module.exports = models;\n",
       "        },\n",
       "        \"custom/my_ticker\": function(require, module, exports) {\n",
       "      \"use strict\";\n",
       "      var __extends = (this && this.__extends) || (function () {\n",
       "          var extendStatics = function (d, b) {\n",
       "              extendStatics = Object.setPrototypeOf ||\n",
       "                  ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n",
       "                  function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };\n",
       "              return extendStatics(d, b);\n",
       "          };\n",
       "          return function (d, b) {\n",
       "              extendStatics(d, b);\n",
       "              function __() { this.constructor = d; }\n",
       "              d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n",
       "          };\n",
       "      })();\n",
       "      Object.defineProperty(exports, \"__esModule\", { value: true });\n",
       "      var categorical_ticker_1 = require(\"models/tickers/categorical_ticker\");\n",
       "      exports.MyTicker = (function () {\n",
       "          var MyTicker = /** @class */ (function (_super) {\n",
       "              __extends(MyTicker, _super);\n",
       "              function MyTicker() {\n",
       "                  return _super !== null && _super.apply(this, arguments) || this;\n",
       "              }\n",
       "              MyTicker.prototype.get_ticks = function (start, end, range, cross_loc) {\n",
       "                  var ticks;\n",
       "                  ticks = _super.prototype.get_ticks.call(this, start, end, range, cross_loc);\n",
       "                  // drops every other tick -- update to suit your specific needs\n",
       "                  ticks.major = ticks.major.filter(function (element, index) {\n",
       "                      return index % 2 === 0;\n",
       "                  });\n",
       "                  return ticks;\n",
       "              };\n",
       "              return MyTicker;\n",
       "          }(categorical_ticker_1.CategoricalTicker));\n",
       "          ;\n",
       "          MyTicker.prototype.type = \"MyTicker\";\n",
       "          return MyTicker;\n",
       "      }).call(this);\n",
       "\n",
       "      }\n",
       "      }, \"custom/main\");\n",
       "      ;\n",
       "      });\n",
       "\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.css\");\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }if (force === true) {\n",
       "        display_loaded();\n",
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       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
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       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
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       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"15743\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n    }\n    finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.info(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(js_urls, callback) {\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = js_urls.length;\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var s = document.createElement('script');\n      s.src = url;\n      s.async = false;\n      s.onreadystatechange = s.onload = function() {\n        root._bokeh_is_loading--;\n        if (root._bokeh_is_loading === 0) {\n          console.log(\"Bokeh: all BokehJS libraries loaded\");\n          run_callbacks()\n        }\n      };\n      s.onerror = function() {\n        console.warn(\"failed to load library \" + url);\n      };\n      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.getElementsByTagName(\"head\")[0].appendChild(s);\n    }\n  };var element = document.getElementById(\"15743\");\n  if (element == null) {\n    console.log(\"Bokeh: ERROR: autoload.js configured with elementid '15743' but no matching script tag was found. \")\n    return false;\n  }\n\n  var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-1.0.4.min.js\"];\n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    \n    function(Bokeh) {\n      (function(root, factory) {\n      //  if(typeof exports === 'object' && typeof module === 'object')\n      //    factory(require(\"Bokeh\"));\n      //  else if(typeof define === 'function' && define.amd)\n      //    define([\"Bokeh\"], factory);\n      //  else if(typeof exports === 'object')\n      //    factory(require(\"Bokeh\"));\n      //  else\n          factory(root[\"Bokeh\"]);\n      })(this, function(Bokeh) {\n        var define;\n        return (function outer(modules, entry) {\n        if (Bokeh != null) {\n          return Bokeh.register_plugin(modules, {}, entry);\n        } else {\n          throw new Error(\"Cannot find Bokeh. You have to load it prior to loading plugins.\");\n        }\n      })\n      ({\n        \"custom/main\": function(require, module, exports) {\n          var models = {\n            \"MyTicker\": require(\"custom/my_ticker\").MyTicker\n          };\n          require(\"base\").register_models(models);\n          module.exports = models;\n        },\n        \"custom/my_ticker\": function(require, module, exports) {\n      \"use strict\";\n      var __extends = (this && this.__extends) || (function () {\n          var extendStatics = function (d, b) {\n              extendStatics = Object.setPrototypeOf ||\n                  ({ __proto__: [] } instanceof Array && function (d, b) { d.__proto__ = b; }) ||\n                  function (d, b) { for (var p in b) if (b.hasOwnProperty(p)) d[p] = b[p]; };\n              return extendStatics(d, b);\n          };\n          return function (d, b) {\n              extendStatics(d, b);\n              function __() { this.constructor = d; }\n              d.prototype = b === null ? Object.create(b) : (__.prototype = b.prototype, new __());\n          };\n      })();\n      Object.defineProperty(exports, \"__esModule\", { value: true });\n      var categorical_ticker_1 = require(\"models/tickers/categorical_ticker\");\n      exports.MyTicker = (function () {\n          var MyTicker = /** @class */ (function (_super) {\n              __extends(MyTicker, _super);\n              function MyTicker() {\n                  return _super !== null && _super.apply(this, arguments) || this;\n              }\n              MyTicker.prototype.get_ticks = function (start, end, range, cross_loc) {\n                  var ticks;\n                  ticks = _super.prototype.get_ticks.call(this, start, end, range, cross_loc);\n                  // drops every other tick -- update to suit your specific needs\n                  ticks.major = ticks.major.filter(function (element, index) {\n                      return index % 2 === 0;\n                  });\n                  return ticks;\n              };\n              return MyTicker;\n          }(categorical_ticker_1.CategoricalTicker));\n          ;\n          MyTicker.prototype.type = \"MyTicker\";\n          return MyTicker;\n      }).call(this);\n\n      }\n      }, \"custom/main\");\n      ;\n      });\n\n    },\n    function(Bokeh) {\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-1.0.4.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-1.0.4.min.css\");\n      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.css\");\n      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-1.0.4.min.css\");\n    }\n  ];\n\n  function run_inline_js() {\n    \n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"15743\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(js_urls, function() {\n      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#import libraries\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "from bokeh.io import output_notebook, show\n",
    "from bokeh.models import ColumnDataSource, HoverTool\n",
    "from bokeh.plotting import figure\n",
    "from bokeh.sampledata.autompg import autompg_clean as df\n",
    "from bokeh.transform import factor_cmap\n",
    "from bokeh.models import ColumnDataSource, Plot, LinearAxis, Grid\n",
    "from bokeh.models.glyphs import VBar\n",
    "from bokeh.io import curdoc, show\n",
    "from bokeh.io import show, output_file\n",
    "from bokeh.models import FactorRange\n",
    "from bokeh.models import SingleIntervalTicker, LinearAxis\n",
    "from bokeh.models import Range1d\n",
    "import os\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "#set working directory\n",
    "os.chdir(os.getcwd()+'/Data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read in the raw crime data\n",
    "file = 'Crimes_-_2001_to_present.csv'\n",
    "crime = pd.read_csv(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#read in the shapefiles\n",
    "beat_shape = gpd.read_file('geo_export_2947a4f2-ac66-45f1-902b-a7ffa42f326b.shp')\n",
    "tract_shape = gpd.read_file('geo_export_ce0fbd70-d876-49ca-9432-ae1454719ab0.shp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#map file to consolidate categories\n",
    "crime_mapper = pd.read_csv('crime_mapper.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "#merge to get new mapping in crime data set\n",
    "crime = pd.merge(left=crime,right=crime_mapper,how='left',\n",
    "                 left_on='Primary Type',right_on='OLD_TYPE')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## General Descriptive Statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bar Plot of Crime Counts by Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_counts = pd.DataFrame(crime.groupby(['NEW_TYPE'])['ID'].count())\n",
    "crime_counts.reset_index(inplace=True)\n",
    "crime_counts = crime_counts.sort_values(by=['ID'],ascending=False)\n",
    "crime_counts.reset_index(inplace=True)\n",
    "\n",
    "crime_counts['NEW_TYPE'] = crime_counts['NEW_TYPE'].astype(str)\n",
    "group = crime_counts.groupby(by=['NEW_TYPE'])\n",
    "\n",
    "crimes = list(crime_counts['NEW_TYPE'])\n",
    "counts = list(crime_counts['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
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       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
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       "id": "1961"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=crimes,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=900,plot_height=600,title=\"Number of Crimes in Chicago by Type, 2001-Present\",\n",
    "           x_range=group, toolbar_location=None, tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.vbar(x='x', top='y', width=0.9,line_color=\"white\",fill_color=\"#b3de69\",\n",
    "       hover_line_color=\"darkgrey\",source=source,hover_fill_color='#ffffbf')\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Type of Crime Reported\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "p.x_range = FactorRange(factors=crime_counts['NEW_TYPE']) #orders \n",
    "\n",
    "#output_file(\"Number of Crimes Bar Chart.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## % of Offenses by Offense Type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_perc = pd.DataFrame(crime.groupby(['NEW_TYPE'])['ID'].count())\n",
    "crime_perc.reset_index(inplace=True)\n",
    "crime_perc = crime_counts.sort_values(by=['ID'],ascending=False)\n",
    "crime_perc.reset_index(inplace=True)\n",
    "crime_perc['ID'] = (crime_perc['ID'] / 6833941) * 100\n",
    "\n",
    "crime_perc['NEW_TYPE'] = crime_perc['NEW_TYPE'].astype(str)\n",
    "group = crime_perc.groupby(by=['NEW_TYPE'])\n",
    "\n",
    "crimes = list(crime_perc['NEW_TYPE'])\n",
    "counts = list(crime_perc['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "  var render_items = [{\"docid\":\"34f42629-46d7-42a7-bc3d-daa556748ee9\",\"roots\":{\"2500\":\"d8ebd703-d287-4aa1-b2e9-3da9c78f0ae6\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "2500"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=crimes,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"+\"%\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=900,plot_height=600,title=\"% of Crimes in Chicago by Type, 2001-Present\",\n",
    "           x_range=group, toolbar_location=None, tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.vbar(x='x', top='y', width=0.9,line_color=\"white\",fill_color=\"#ff9900\",\n",
    "       hover_line_color=\"darkgrey\",source=source,hover_fill_color='#ffffbf')\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Type of Crime Reported\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "p.x_range = FactorRange(factors=crime_perc['NEW_TYPE']) #orders \n",
    "\n",
    "#output_file(\"Percent of Crimes Bar Chart.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Number of Crimes by Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_counts = pd.DataFrame(crime.groupby(['Year'])['ID'].count())\n",
    "crime_counts.reset_index(inplace=True)\n",
    "crime_counts = crime_counts.sort_values(by=['Year'],ascending=True)\n",
    "crime_counts.reset_index(inplace=True)\n",
    "\n",
    "crime_counts['Year'] = crime_counts['Year'].astype(str)\n",
    "group = crime_counts.groupby(by=['Year'])\n",
    "\n",
    "crimes = list(crime_counts['Year'])\n",
    "counts = list(crime_counts['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"96f79407-3c09-495c-a68f-3bb9377584f7\" data-root-id=\"12648\"></div>\n"
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     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = 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       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "12648"
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     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=crimes,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"),\n",
    "    (\"Year\", \"@x\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=900,plot_height=600,title=\"Number of Crimes in Chicago by Year, 2001-Present\",\n",
    "           x_range=group, toolbar_location=None, tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.vbar(x='x', top='y', width=0.9,line_color=\"white\",fill_color=\"#00802b\",\n",
    "       hover_line_color=\"darkgrey\",source=source,hover_fill_color='#ffffbf')\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Type of Crime Reported\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "p.x_range = FactorRange(factors=crime_counts['Year']) #orders \n",
    "\n",
    "#output_file(\"Number of Crimes Bar Chart.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Temporal Analysis of Crime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Total Time Series of Crime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "#convert date column\n",
    "crime['Date'] = pd.to_datetime(crime['Date'],errors='coerce')\n",
    "crime['Day'] = crime['Date'].dt.date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_time = pd.DataFrame(crime.groupby(['Day'])['ID'].count())\n",
    "crime_time.reset_index(inplace=True)\n",
    "\n",
    "crime_time['Day'] = crime_time['Day'].astype(str)\n",
    "group = crime_time.groupby(by=['Day'])\n",
    "day = list(crime_time['Day'])\n",
    "counts = list(crime_time['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
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Application\",\"version\":\"1.0.4\"}};\n",
       "  var render_items = [{\"docid\":\"dfaf4a28-7fce-4c0c-8065-1c804c2d9215\",\"roots\":{\"17742\":\"c33ac809-04bf-4412-bfd3-52e39d5bc35a\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "17742"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=day,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"),\n",
    "    (\"Date\", \"@x\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=1000,plot_height=600,title=\"Number of Crimes by Day, 2001-Present\",\n",
    "           x_range=group, toolbar_location=None,x_axis_type=None,tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.line(x='x', y='y',line_color=\"#ff9900\",source=source)\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Type of Crime Reported\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "ticker = FixedTicker(ticks=list(range(0,7000,365)))\n",
    "xaxis = LinearAxis(ticker=ticker,axis_label=\"Day\")\n",
    "p.add_layout(xaxis, 'below')\n",
    "p.xaxis.major_label_overrides = {0: '2001', 365: '2002',730: '2003',1095: '2004',\n",
    "                                 1460:'2005',1825:'2006',2190:'2007',2555:'2008',\n",
    "                                 2920:'2009',3285:'2010',3650:'2011',4015:'2012',\n",
    "                                 4380:'2013',4745:'2014',5110:'2015',5475:'2016',\n",
    "                                 5840:'2017',6205:'2018',6570:'2019'}\n",
    "\n",
    "#output_file(\"Time Series of Crime.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time Series by Day of Year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "crime['DOY'] = crime['Date'].dt.dayofyear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_time = pd.DataFrame(crime.groupby(['DOY'])['ID'].count() / crime['Year'].nunique())\n",
    "crime_time.reset_index(inplace=True)\n",
    "\n",
    "crime_time['DOY'] = crime_time['DOY'].astype(str)\n",
    "group = crime_time.groupby(by=['DOY'])\n",
    "day = list(crime_time['DOY'])\n",
    "counts = list(crime_time['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
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2001-Present\"},\"id\":\"17170\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"17189\",\"type\":\"SaveTool\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"17205\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"17611\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"17615\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"17177\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"ticks\":[0,10,20,30,40,50,60,70,80,90,100,110,120,130,140,150,160,170,180,190,200,210,220,230,240,250,260,270,280,290,300,310,320,330,340,350,360]},\"id\":\"17208\",\"type\":\"FixedTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"17171\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"17182\",\"type\":\"BasicTicker\"}},\"id\":\"17185\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"17169\",\"type\":\"ColumnDataSource\"}},\"id\":\"17207\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"17191\",\"type\":\"HelpTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"17186\",\"type\":\"PanTool\"},{\"id\":\"17187\",\"type\":\"WheelZoomTool\"},{\"id\":\"17188\",\"type\":\"BoxZoomTool\"},{\"id\":\"17189\",\"type\":\"SaveTool\"},{\"id\":\"17190\",\"type\":\"ResetTool\"},{\"id\":\"17191\",\"type\":\"HelpTool\"},{\"id\":\"17192\",\"type\":\"HoverTool\"}]},\"id\":\"17193\",\"type\":\"Toolbar\"},{\"attributes\":{\"data_source\":{\"id\":\"17169\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"17204\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"17205\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"17207\",\"type\":\"CDSView\"}},\"id\":\"17206\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":{\"value\":0.5},\"fill_color\":{\"value\":\"lightgrey\"},\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":{\"value\":1.0},\"line_color\":{\"value\":\"black\"},\"line_dash\":[4,4],\"line_width\":{\"value\":2},\"plot\":null,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"17195\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"17182\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"17186\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"17179\",\"type\":\"LinearScale\"},{\"attributes\":{\"below\":[{\"id\":\"17209\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"17181\",\"type\":\"LinearAxis\"}],\"plot_width\":1000,\"renderers\":[{\"id\":\"17181\",\"type\":\"LinearAxis\"},{\"id\":\"17185\",\"type\":\"Grid\"},{\"id\":\"17195\",\"type\":\"BoxAnnotation\"},{\"id\":\"17206\",\"type\":\"GlyphRenderer\"},{\"id\":\"17209\",\"type\":\"LinearAxis\"}],\"title\":{\"id\":\"17170\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"17193\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"17211\",\"type\":\"FactorRange\"},\"x_scale\":{\"id\":\"17177\",\"type\":\"CategoricalScale\"},\"y_range\":{\"id\":\"17212\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"17179\",\"type\":\"LinearScale\"}},\"id\":\"17171\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"17614\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"formatter\":{\"id\":\"17611\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"17171\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"17182\",\"type\":\"BasicTicker\"}},\"id\":\"17181\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"factors\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\",\"51\",\"52\",\"53\",\"54\",\"55\",\"56\",\"57\",\"58\",\"59\",\"60\",\"61\",\"62\",\"63\",\"64\",\"65\",\"66\",\"67\",\"68\",\"69\",\"70\",\"71\",\"72\",\"73\",\"74\",\"75\",\"76\",\"77\",\"78\",\"79\",\"80\",\"81\",\"82\",\"83\",\"84\",\"85\",\"86\",\"87\",\"88\",\"89\",\"90\",\"91\",\"92\",\"93\",\"94\",\"95\",\"96\",\"97\",\"98\",\"99\",\"100\",\"101\",\"102\",\"103\",\"104\",\"105\",\"106\",\"107\",\"108\",\"109\",\"110\",\"111\",\"112\",\"113\",\"114\",\"115\",\"116\",\"117\",\"118\",\"119\",\"120\",\"121\",\"122\",\"123\",\"124\",\"125\",\"126\",\"127\",\"128\",\"129\",\"130\",\"131\",\"132\",\"133\",\"134\",\"135\",\"136\",\"137\",\"138\",\"139\",\"140\",\"141\",\"142\",\"143\",\"144\",\"145\",\"146\",\"147\",\"148\",\"149\",\"150\",\"151\",\"152\",\"153\",\"154\",\"155\",\"156\",\"157\",\"158\",\"159\",\"160\",\"161\",\"162\",\"163\",\"164\",\"165\",\"166\",\"167\",\"168\",\"169\",\"170\",\"171\",\"172\",\"173\",\"174\",\"175\",\"176\",\"177\",\"178\",\"179\",\"180\",\"181\",\"182\",\"183\",\"184\",\"185\",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Application\",\"version\":\"1.0.4\"}};\n",
       "  var render_items = [{\"docid\":\"d4e7dacd-9d58-46f1-8946-de0190ecdec7\",\"roots\":{\"17171\":\"3476c62e-7405-4041-9c74-37b571db6d01\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "17171"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=day,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"),\n",
    "    (\"Day of Year\", \"@x\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=1000,plot_height=600,title=\"Average # of Crimes by Day of Year, 2001-Present\",\n",
    "           x_range=group, y_range=(500, 1500),toolbar_location=None,x_axis_type=None,tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.line(x='x', y='y',line_color=\"#000099\",source=source)\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Day of Year\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "ticker = FixedTicker(ticks=list(range(0,365,10)))\n",
    "xaxis = LinearAxis(ticker=ticker,axis_label=\"Day of Year\")\n",
    "p.add_layout(xaxis, 'below')\n",
    "\n",
    "p.x_range = FactorRange(factors=crime_time['DOY']) \n",
    "p.y_range= Range1d(500, 1500)\n",
    "\n",
    "#output_file(\"Time Series of Crime.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time Series by Hour of the Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [],
   "source": [
    "crime['Hour'] = crime['Date'].dt.hour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6654"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime['Day'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "#create counts df for plot\n",
    "crime_time = pd.DataFrame(crime.groupby(['Hour'])['ID'].count() / crime['Day'].nunique())\n",
    "crime_time.reset_index(inplace=True)\n",
    "\n",
    "crime_time['Hour'] = crime_time['Hour'].astype(str)\n",
    "group = crime_time.groupby(by=['Hour'])\n",
    "day = list(crime_time['Hour'])\n",
    "counts = list(crime_time['ID'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1027.0425308085364"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crime_time['ID'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"db0a146f-f9f3-4f47-a0cd-24acbba7d7e7\" data-root-id=\"21950\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"aabf519b-1374-4203-9d79-6691d1590a2b\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"21958\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"21988\",\"type\":\"Line\"},{\"attributes\":{\"overlay\":{\"id\":\"21978\",\"type\":\"BoxAnnotation\"}},\"id\":\"21971\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"22459\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"below\":[{\"id\":\"21960\",\"type\":\"CategoricalAxis\"}],\"left\":[{\"id\":\"21964\",\"type\":\"LinearAxis\"}],\"plot_width\":1000,\"renderers\":[{\"id\":\"21960\",\"type\":\"CategoricalAxis\"},{\"id\":\"21963\",\"type\":\"Grid\"},{\"id\":\"21964\",\"type\":\"LinearAxis\"},{\"id\":\"21968\",\"type\":\"Grid\"},{\"id\":\"21978\",\"type\":\"BoxAnnotation\"},{\"id\":\"21989\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"21949\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"21976\",\"type\":\"Toolbar\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"21991\",\"type\":\"FactorRange\"},\"x_scale\":{\"id\":\"21956\",\"type\":\"CategoricalScale\"},\"y_range\":{\"id\":\"21992\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"21958\",\"type\":\"LinearScale\"}},\"id\":\"21950\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"grid_line_color\":{\"value\":null},\"plot\":{\"id\":\"21950\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"21961\",\"type\":\"CategoricalTicker\"}},\"id\":\"21963\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":\"#000099\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"21987\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"21970\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"21972\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"22463\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"plot\":null,\"text\":\"Average # 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       "  var render_items = [{\"docid\":\"aabf519b-1374-4203-9d79-6691d1590a2b\",\"roots\":{\"21950\":\"db0a146f-f9f3-4f47-a0cd-24acbba7d7e7\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        embed_document(root);\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "      attempts++;\n",
       "      if (attempts > 100) {\n",
       "        console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        clearInterval(timer);\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "21950"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#generate bokeh plot\n",
    "source = ColumnDataSource(data=dict(x=day,y=counts,desc=counts,))\n",
    "\n",
    "TOOLTIPS = [\n",
    "    (\"# of Crimes\", \"@desc\"),\n",
    "    (\"Hour of Day\", \"@x\"),\n",
    "]\n",
    "\n",
    "p = figure(plot_width=1000,plot_height=600,title=\"Average # of Crimes by Day of Year, 2001-Present\",\n",
    "           x_range=group,toolbar_location=None,tooltips=TOOLTIPS)\n",
    "\n",
    "\n",
    "p.line(x='x', y='y',line_color=\"#000099\",source=source)\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.xaxis.axis_label = \"Hour of the Day\"\n",
    "p.xaxis.major_label_orientation = 1.2\n",
    "\n",
    "p.xgrid.grid_line_color = None\n",
    "p.y_range.start = 0\n",
    "\n",
    "#ticker = FixedTicker(ticks=list(range(0,365,10)))\n",
    "#xaxis = LinearAxis(ticker=ticker,axis_label=\"Day of Year\")\n",
    "#p.add_layout(xaxis, 'below')\n",
    "\n",
    "p.x_range = FactorRange(factors=crime_time['Hour']) \n",
    "p.y_range= Range1d(0, 80)\n",
    "\n",
    "#output_file(\"Time Series of Crime.html\")\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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