Final-Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Best Neighborhood: Cleaning Up the Streets\n",
    "### Team Gr8: Daulton Cipicchio, Evan Kozierok, and Matt Muir"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Introduction\n",
    "For our Big Ideas final project, we were tasked to determine which neighborhood of Pittsburgh is the best using some metric of our choice, analyzing data retrieved from the Western Pennsylvania Regional Data Center.\n",
    "\n",
    "We wanted to create a mix of silly and serious in our datasets, so we began searching through the WPRDC dataset collections to search for interesting datasets. Early on we found an archive of police reports which we were confident was a good dataset - it was large, detailed, generally well-maintained, and most importantly, it included what neighborhood each crime took place in. \n",
    "\n",
    "However, not all the datasets were as good - some were unusably small, and many had location input by latitude/longitude coordinates or U.S. Census tracts. Since the borders of neighborhoods are not defined simply and many tracts cross neighborhood borders, we were unable to use these datasets. In the end, we had to give up on many promising datasets such as air quality, number of trees, and number of steps in public stairways. But in the end, we came up with our metric to determine which neighborhood kept their streets clean - in more ways than one.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## The Metric\n",
    "We chose to use three data sets to determine the best neighborhood: crime rates, population, and the total number of smart trash containers present in each neighborhood. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy\n",
    "police = pd.read_csv(\"Police-Blotter.csv\")\n",
    "population = pd.read_csv(\"population_data.csv\")\n",
    "smart_trash = pd.read_csv(\"Smart-Containers.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first found the total number of reports for every neighborhood in the police dataset, and then we divided this by the population in each neighborhood from the 2010 census. This helped us find the average amount of crimes committed per person in each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>INCIDENTNEIGHBORHOOD</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>South Side Flats</th>\n",
       "      <td>11726</td>\n",
       "      <td>South Side Flats</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Business District</th>\n",
       "      <td>8854</td>\n",
       "      <td>Central Business District</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Carrick</th>\n",
       "      <td>6605</td>\n",
       "      <td>Carrick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bloomfield</th>\n",
       "      <td>5532</td>\n",
       "      <td>Bloomfield</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shadyside</th>\n",
       "      <td>5109</td>\n",
       "      <td>Shadyside</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           INCIDENTNEIGHBORHOOD               Neighborhood\n",
       "South Side Flats                          11726           South Side Flats\n",
       "Central Business District                  8854  Central Business District\n",
       "Carrick                                    6605                    Carrick\n",
       "Bloomfield                                 5532                 Bloomfield\n",
       "Shadyside                                  5109                  Shadyside"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "crimesPerNeighborhood = police['INCIDENTNEIGHBORHOOD'].value_counts()\n",
    "crimesFrame = pd.DataFrame(crimesPerNeighborhood)\n",
    "crimesFrame['Neighborhood'] = list(crimesFrame.index)\n",
    "crimesFrame.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9dfdc61978>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
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      "text/plain": [
       "<Figure size 2160x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "crimesPerNeighborhood.plot.bar(figsize=(30,10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a very big graph but as you can see we have a few neighborhoods with a lot of crime - South Side Flats and Central Business District in particular - and a long tail of neighborhoods with much less crime. However not all of these have the same population which we account for by making a ratio based off of population."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/ihome/crc/install/python/miniconda3-3.7/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n"
     ]
    },
    {
     "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>INCIDENTNEIGHBORHOOD</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Population (2010)</th>\n",
       "      <th>rat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>244</td>\n",
       "      <td>Swisshelm Park</td>\n",
       "      <td>1361</td>\n",
       "      <td>0.179280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>188</td>\n",
       "      <td>New Homestead</td>\n",
       "      <td>990</td>\n",
       "      <td>0.189899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>675</td>\n",
       "      <td>Terrace Village</td>\n",
       "      <td>3228</td>\n",
       "      <td>0.209108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2475</td>\n",
       "      <td>Squirrel Hill North</td>\n",
       "      <td>11363</td>\n",
       "      <td>0.217812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>932</td>\n",
       "      <td>Banksville</td>\n",
       "      <td>4144</td>\n",
       "      <td>0.224903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>1064</td>\n",
       "      <td>Stanton Heights</td>\n",
       "      <td>4601</td>\n",
       "      <td>0.231254</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>581</td>\n",
       "      <td>Duquesne Heights</td>\n",
       "      <td>2425</td>\n",
       "      <td>0.239588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>839</td>\n",
       "      <td>Morningside</td>\n",
       "      <td>3346</td>\n",
       "      <td>0.250747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1837</td>\n",
       "      <td>Greenfield</td>\n",
       "      <td>7294</td>\n",
       "      <td>0.251851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>786</td>\n",
       "      <td>Central Northside</td>\n",
       "      <td>2923</td>\n",
       "      <td>0.268902</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    INCIDENTNEIGHBORHOOD         Neighborhood  Population (2010)       rat\n",
       "85                   244       Swisshelm Park               1361  0.179280\n",
       "87                   188        New Homestead                990  0.189899\n",
       "69                   675      Terrace Village               3228  0.209108\n",
       "25                  2475  Squirrel Hill North              11363  0.217812\n",
       "61                   932           Banksville               4144  0.224903\n",
       "55                  1064      Stanton Heights               4601  0.231254\n",
       "72                   581     Duquesne Heights               2425  0.239588\n",
       "64                   839          Morningside               3346  0.250747\n",
       "37                  1837           Greenfield               7294  0.251851\n",
       "66                   786    Central Northside               2923  0.268902"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pops = population.loc[:, ['Neighborhood','Population (2010)']]\n",
    "crimeFrame = pd.DataFrame(crimesPerNeighborhood)\n",
    "crimeFrame.head()\n",
    "ratio = pd.merge(crimesFrame, pops, how='inner', left_on='Neighborhood', right_on='Neighborhood')\n",
    "count = 0\n",
    "for x in ratio['Population (2010)']:\n",
    "    ratio['Population (2010)'][count] = x.replace(',','')\n",
    "    count = count+1\n",
    "\n",
    "ratio['Population (2010)'] = ratio['Population (2010)'].astype(int)\n",
    "ratio['rat'] = ratio['INCIDENTNEIGHBORHOOD']/ratio['Population (2010)']\n",
    "ratio = ratio.sort_values(by='rat')\n",
    "ratio.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because Pandas is confused/confusing, here `INCIDENTNEIGHBORHOOD` is actually the number of crimes reported. We can see from the value `rat` that Swisshelm Park and New Homestead have the lowest ratios of crimes/person. In case you're wondering which neighborhoods have the highest crime rates, here are the 5 highest and lowest displayed graphically, just for kicks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9df4586978>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ratio.iloc[[0,1,2,3,4,-5,-4,-3,-2,-1]].plot.bar(x='Neighborhood',y='rat')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Don't go to Chateau I guess.... \n",
    "\n",
    "The \"Smart\" trash bins contain sensors that detect when a can needs to be emptied and lets the proper people/departments know. This would help the neighborhood be cleaner, as there is a much smaller chance for the trash containers to overflow. We found the total amount of containers in each neighborhood so we could compare it to the crime rate."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9df44faef0>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "counted_values = smart_trash['neighborhood'].value_counts()\n",
    "counted_values.plot.bar(figsize=(20,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "South Side Flats    66\n",
       "East Liberty        64\n",
       "Bloomfield          61\n",
       "North Shore         60\n",
       "Strip District      50\n",
       "Name: neighborhood, dtype: int64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "counted_values.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, South Side Flats had both the largest number of crimes and smart trash cans."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once we had both of these datasets sorted, we merged them together divided the number of smart trash cans by the number of crimes per person. The best neighborhoods would be ones that have the largest number, as this would show that they are keeping trash and crime off of their streets. This metric provides important information about the safety and environment of a neighborhood. Note that only neighborhoods that were in both datasets were evaluated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Neighborhood</th>\n",
       "      <th>Cans</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>South Side Flats</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>East Liberty</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bloomfield</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>North Shore</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Strip District</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Cans\n",
       "0  South Side Flats    66\n",
       "1      East Liberty    64\n",
       "2        Bloomfield    61\n",
       "3       North Shore    60\n",
       "4    Strip District    50"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cv_frame = pd.DataFrame({\"Neighborhood\" : counted_values.index.tolist(), \"Cans\" : counted_values.values})\n",
    "cv_frame.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "final_metric = pd.merge(ratio, cv_frame, how='inner', on='Neighborhood')\n",
    "final_metric[\"Final Ratio!\"] = final_metric.Cans / final_metric.rat\n",
    "final_metric = final_metric.sort_values(by=\"Final Ratio!\", ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## The Best Neighborhood\n",
    "It is time to announce the best neighborhood. The winner of best neighborhood is..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9df41c0630>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
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   "source": [
    "final_metric.plot.bar(x=\"Neighborhood\",y=\"Final Ratio!\",figsize=(25,10))"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Squirrel Hill South!\n",
    "Congratulations to the residents of Squirrel Hill, which took both 1st and 6th place with Squirrel Hill South and North respectively. And the data clearly shows that you should never go to Chateau or South Shore."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>INCIDENTNEIGHBORHOOD</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Population (2010)</th>\n",
       "      <th>rat</th>\n",
       "      <th>Cans</th>\n",
       "      <th>Final Ratio!</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4298</td>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>15110</td>\n",
       "      <td>0.284447</td>\n",
       "      <td>47</td>\n",
       "      <td>165.232666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5109</td>\n",
       "      <td>Shadyside</td>\n",
       "      <td>13915</td>\n",
       "      <td>0.367158</td>\n",
       "      <td>40</td>\n",
       "      <td>108.944999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5532</td>\n",
       "      <td>Bloomfield</td>\n",
       "      <td>8442</td>\n",
       "      <td>0.655295</td>\n",
       "      <td>61</td>\n",
       "      <td>93.087852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>4282</td>\n",
       "      <td>East Liberty</td>\n",
       "      <td>5869</td>\n",
       "      <td>0.729596</td>\n",
       "      <td>64</td>\n",
       "      <td>87.719757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2427</td>\n",
       "      <td>Bluff</td>\n",
       "      <td>6600</td>\n",
       "      <td>0.367727</td>\n",
       "      <td>32</td>\n",
       "      <td>87.021014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2475</td>\n",
       "      <td>Squirrel Hill North</td>\n",
       "      <td>11363</td>\n",
       "      <td>0.217812</td>\n",
       "      <td>18</td>\n",
       "      <td>82.640000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    INCIDENTNEIGHBORHOOD         Neighborhood  Population (2010)       rat  \\\n",
       "10                  4298  Squirrel Hill South              15110  0.284447   \n",
       "18                  5109            Shadyside              13915  0.367158   \n",
       "48                  5532           Bloomfield               8442  0.655295   \n",
       "50                  4282         East Liberty               5869  0.729596   \n",
       "19                  2427                Bluff               6600  0.367727   \n",
       "1                   2475  Squirrel Hill North              11363  0.217812   \n",
       "\n",
       "    Cans  Final Ratio!  \n",
       "10    47    165.232666  \n",
       "18    40    108.944999  \n",
       "48    61     93.087852  \n",
       "50    64     87.719757  \n",
       "19    32     87.021014  \n",
       "1     18     82.640000  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metric.head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly, Squirrel Hill South did not have the highest number of trash cans or the lowest crime ratio. As a matter of fact, Squirrel Hill South actually had the 6th highest number of crimes among the neighborhoods, and was only ranked 6th for number of smart trash cans. However, because it was the most populated neighborhood, it was able to make up for the higher crime number and its healthy proportion of trash cans pushed it to the top. The story looks similar with Shadyside, which also happened to be 2nd largest in terms of population."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>INCIDENTNEIGHBORHOOD</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Population (2010)</th>\n",
       "      <th>rat</th>\n",
       "      <th>Cans</th>\n",
       "      <th>Final Ratio!</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>4298</td>\n",
       "      <td>Squirrel Hill South</td>\n",
       "      <td>15110</td>\n",
       "      <td>0.284447</td>\n",
       "      <td>47</td>\n",
       "      <td>165.232666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5109</td>\n",
       "      <td>Shadyside</td>\n",
       "      <td>13915</td>\n",
       "      <td>0.367158</td>\n",
       "      <td>40</td>\n",
       "      <td>108.944999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>3886</td>\n",
       "      <td>Brookline</td>\n",
       "      <td>13214</td>\n",
       "      <td>0.294082</td>\n",
       "      <td>17</td>\n",
       "      <td>57.806999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2475</td>\n",
       "      <td>Squirrel Hill North</td>\n",
       "      <td>11363</td>\n",
       "      <td>0.217812</td>\n",
       "      <td>18</td>\n",
       "      <td>82.640000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2973</td>\n",
       "      <td>North Oakland</td>\n",
       "      <td>10551</td>\n",
       "      <td>0.281774</td>\n",
       "      <td>16</td>\n",
       "      <td>56.783047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>6605</td>\n",
       "      <td>Carrick</td>\n",
       "      <td>10113</td>\n",
       "      <td>0.653120</td>\n",
       "      <td>42</td>\n",
       "      <td>64.306737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    INCIDENTNEIGHBORHOOD         Neighborhood  Population (2010)       rat  \\\n",
       "10                  4298  Squirrel Hill South              15110  0.284447   \n",
       "18                  5109            Shadyside              13915  0.367158   \n",
       "11                  3886            Brookline              13214  0.294082   \n",
       "1                   2475  Squirrel Hill North              11363  0.217812   \n",
       "8                   2973        North Oakland              10551  0.281774   \n",
       "47                  6605              Carrick              10113  0.653120   \n",
       "\n",
       "    Cans  Final Ratio!  \n",
       "10    47    165.232666  \n",
       "18    40    108.944999  \n",
       "11    17     57.806999  \n",
       "1     18     82.640000  \n",
       "8     16     56.783047  \n",
       "47    42     64.306737  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_metric.sort_values(by='Population (2010)', ascending=False).head(6)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Conclusions\n",
    "__Evan:__ To be perfectly honest, I really haven't lived in Pittsburgh for long enough to have any real personal ranking of the neighborhoods. However, I was in Squirrel Hill South once because I went to Frick Park in September and it seemed very nice and was generally a very pretty and calm place. Therefore I think our metric must be doing *something* right. I also hear Shadyside is in fact nice and I have also heard some less than pleasant things about South Shore but I can't speak from experience there.\n",
    "\n",
    "__Daulton:__ As someone who has lived in the Pittsburgh area for my entire life, I agree that Squirrel Hill is one of the nicest areas around the city. I have only been there a few times, but it has seemed like an incredibly nice area each time I went. I also have been to Shadyside many times and I would most likely say that it is personally my favorite neighborhood.\n",
    "\n",
    "__Matt:__ I completely agree with Squirrel Hill being the best neighborhood in Pittsburgh.  I've only had one real encounter with the area, when I was going to tour Carnegie Mellon, but it seemed to be a very modern, peaceful neighborhood.  My personal favorite, however, would have to be Oakland, home of the best University in the United States.  All of the food options and social life make Oakland the most interesting place to live."
   ]
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   "execution_count": null,
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