diff --git a/chicagostats.ipynb b/chicagostats.ipynb
index 36ee92b..e7b7580 100644
--- a/chicagostats.ipynb
+++ b/chicagostats.ipynb
@@ -3154,16 +3154,192 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "A lot of cleaning and reorganizing needs to be done on the data in order for it to be usable. First I will use geopandas to map ZIP codes for each crime using the coordiates given in the dataset with a zipcode shapemap."
+    "A lot of cleaning and reorganizing needs to be done on the data in order for it to be usable. Unfortunatly the crime dataset does not include the zip code where the crime occured, though it does include the coordinates. I will use geopandas to map ZIP codes for each crime using the coordiates given in the dataset with a zipcode shapemap. I used the GeoPandas user guide for this section, which is cited in my bibliography."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": null,
    "metadata": {
     "id": "TBBTbXx8eiSw"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
+       "columns": [
+        {
+         "name": "index",
+         "rawType": "int64",
+         "type": "integer"
+        },
+        {
+         "name": "Primary Type",
+         "rawType": "object",
+         "type": "string"
+        },
+        {
+         "name": "ZIP",
+         "rawType": "object",
+         "type": "string"
+        }
+       ],
+       "conversionMethod": "pd.DataFrame",
+       "ref": "24f31df6-b4ba-44ff-b90c-da8d44eaa9a6",
+       "rows": [
+        [
+         "0",
+         "WEAPONS VIOLATION",
+         "60621"
+        ],
+        [
+         "1",
+         "BATTERY",
+         "60621"
+        ],
+        [
+         "3",
+         "WEAPONS VIOLATION",
+         "60644"
+        ],
+        [
+         "4",
+         "WEAPONS VIOLATION",
+         "60624"
+        ],
+        [
+         "5",
+         "OTHER OFFENSE",
+         "60643"
+        ],
+        [
+         "6",
+         "BATTERY",
+         "60609"
+        ],
+        [
+         "7",
+         "ASSAULT",
+         "60625"
+        ],
+        [
+         "8",
+         "OTHER OFFENSE",
+         "60628"
+        ],
+        [
+         "9",
+         "THEFT",
+         "60601"
+        ],
+        [
+         "10",
+         "BATTERY",
+         "60649"
+        ]
+       ],
+       "shape": {
+        "columns": 2,
+        "rows": 10
+       }
+      },
+      "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>Primary Type</th>\n",
+       "      <th>ZIP</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>WEAPONS VIOLATION</td>\n",
+       "      <td>60621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>BATTERY</td>\n",
+       "      <td>60621</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WEAPONS VIOLATION</td>\n",
+       "      <td>60644</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>WEAPONS VIOLATION</td>\n",
+       "      <td>60624</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>OTHER OFFENSE</td>\n",
+       "      <td>60643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>BATTERY</td>\n",
+       "      <td>60609</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>ASSAULT</td>\n",
+       "      <td>60625</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>OTHER OFFENSE</td>\n",
+       "      <td>60628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>THEFT</td>\n",
+       "      <td>60601</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>BATTERY</td>\n",
+       "      <td>60649</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Primary Type    ZIP\n",
+       "0   WEAPONS VIOLATION  60621\n",
+       "1             BATTERY  60621\n",
+       "3   WEAPONS VIOLATION  60644\n",
+       "4   WEAPONS VIOLATION  60624\n",
+       "5       OTHER OFFENSE  60643\n",
+       "6             BATTERY  60609\n",
+       "7             ASSAULT  60625\n",
+       "8       OTHER OFFENSE  60628\n",
+       "9               THEFT  60601\n",
+       "10            BATTERY  60649"
+      ]
+     },
+     "execution_count": 218,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "zipcodes_df['geometry'] = zipcodes_df['the_geom'].apply(wkt.loads)\n",
     "zipcodes = gpd.GeoDataFrame(zipcodes_df, geometry='geometry', crs=\"EPSG:4326\")\n",
@@ -3172,14 +3348,15 @@
     "crimes_clean['geometry'] = crimes_clean.apply(lambda row: Point(row['Longitude'], row['Latitude']), axis=1)\n",
     "crimes_gdf = gpd.GeoDataFrame(crimes_clean, geometry='geometry', crs=\"EPSG:4326\")\n",
     "\n",
-    "crimes_zip = gpd.sjoin(crimes_gdf, zipcodes, how=\"left\", predicate=\"within\").filter([\"Primary Type\", \"Arrest\", \"ZIP\"])\n"
+    "crimes_zip = gpd.sjoin(crimes_gdf, zipcodes, how=\"left\", predicate=\"within\").filter([\"Primary Type\", \"ZIP\"])\n",
+    "display(crimes_zip.head(10))\n"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next I will clean the population dataframe to get a population per zipcode count. I will exclude zip codes with less than 5000 people in them."
+    "Next I will clean the population dataframe to get a population per zipcode count. I will exclude zip codes with less than 5000 people in them because they heavily skew the crime statistic (For example, O'Hare Airport's zipcode (60666) has zero residents but still has violent crime)."
    ]
   },
   {
@@ -3377,190 +3554,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Next I will eliminate irrelevent columns and isolate only violent crimes and list the counts of each offense as well as the zip codes in order of frequency. See the documentation for the definition of a violent crime."
+    "Next I will eliminate irrelevent columnsi in the crime dataframe, isolate only violent crimes, and list the counts of each offense as well as the zip codes in order of frequency. See the documentation for the definition of a violent crime."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 179,
+   "execution_count": 193,
    "metadata": {
     "id": "Lzm91TQxeiSw"
    },
    "outputs": [
-    {
-     "data": {
-      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
-       "columns": [
-        {
-         "name": "index",
-         "rawType": "int64",
-         "type": "integer"
-        },
-        {
-         "name": "Primary Type",
-         "rawType": "object",
-         "type": "string"
-        },
-        {
-         "name": "ZIP",
-         "rawType": "object",
-         "type": "string"
-        }
-       ],
-       "conversionMethod": "pd.DataFrame",
-       "ref": "e978c8cc-61e7-4720-aaf7-b13ef0a25d30",
-       "rows": [
-        [
-         "1",
-         "BATTERY",
-         "60621"
-        ],
-        [
-         "6",
-         "BATTERY",
-         "60609"
-        ],
-        [
-         "7",
-         "ASSAULT",
-         "60625"
-        ],
-        [
-         "10",
-         "BATTERY",
-         "60649"
-        ],
-        [
-         "11",
-         "BATTERY",
-         "60621"
-        ],
-        [
-         "12",
-         "BATTERY",
-         "60611"
-        ],
-        [
-         "14",
-         "BATTERY",
-         "60623"
-        ],
-        [
-         "15",
-         "BATTERY",
-         "60617"
-        ],
-        [
-         "16",
-         "BATTERY",
-         "60628"
-        ],
-        [
-         "18",
-         "BATTERY",
-         "60619"
-        ]
-       ],
-       "shape": {
-        "columns": 2,
-        "rows": 10
-       }
-      },
-      "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>Primary Type</th>\n",
-       "      <th>ZIP</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60621</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>6</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60609</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>7</th>\n",
-       "      <td>ASSAULT</td>\n",
-       "      <td>60625</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60649</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60621</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60611</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60623</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60617</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60628</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>BATTERY</td>\n",
-       "      <td>60619</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   Primary Type    ZIP\n",
-       "1       BATTERY  60621\n",
-       "6       BATTERY  60609\n",
-       "7       ASSAULT  60625\n",
-       "10      BATTERY  60649\n",
-       "11      BATTERY  60621\n",
-       "12      BATTERY  60611\n",
-       "14      BATTERY  60623\n",
-       "15      BATTERY  60617\n",
-       "16      BATTERY  60628\n",
-       "18      BATTERY  60619"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "application/vnd.microsoft.datawrangler.viewer.v0+json": {
@@ -3577,7 +3580,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "9b0ba5d9-2e04-4e6a-b299-92c56a45a25b",
+       "ref": "25d33c18-0a5e-4981-829f-cddafea6ef56",
        "rows": [
         [
          "BATTERY",
@@ -3735,7 +3738,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "f38f36de-d2eb-4ae5-a3c9-d81d9b46c00a",
+       "ref": "a8e7e053-1540-477a-96ac-6e15203d71cc",
        "rows": [
         [
          "0",
@@ -3893,7 +3896,6 @@
     "crimes = crimes_zip[crimes_zip[\"Primary Type\"].isin([\"ASSAULT\", \"BATTERY\", \"CRIMINAL SEXUAL ASSAULT\", \n",
     "                                             \"SEX OFFENSE\", \"HOMICIDE\", \"ROBBERY\", \"CRIM SEXUAL ASSAULT\", \"KIDNAPPING\", \n",
     "                                             \"INTIMIDATION\", \"STALKING\", \"HUMAN TRAFFICKING\"])].drop(columns=\"Arrest\")\n",
-    "display(crimes.head(10))\n",
     "\n",
     "type_counts = crimes[\"Primary Type\"].value_counts().to_frame()\n",
     "zip_freqs = crimes[\"ZIP\"].astype(str).value_counts().to_frame()\n",
@@ -3915,7 +3917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 190,
    "metadata": {
     "id": "GaIopai0eiSw"
    },
@@ -3941,7 +3943,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "a6fde97a-ba8f-4e9d-8697-094ef0a3ef49",
+       "ref": "9a123164-f8d1-44a6-83d7-039233619369",
        "rows": [
         [
          "0",
@@ -4091,7 +4093,7 @@
        "9  60614                       253.0"
       ]
      },
-     "execution_count": 186,
+     "execution_count": 190,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4118,12 +4120,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Last I will combine the crime and income dataframes into one (by zip code) so it can undergo analysis and plot a preliminary dot plot graph."
+    "Last I will combine the crime and income dataframes into one (by zip code) so it can undergo analysis."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 219,
    "metadata": {
     "id": "etMcpFA6eiSw"
    },
@@ -4148,13 +4150,13 @@
          "type": "float"
         },
         {
-         "name": "Average Total Annual Income",
+         "name": "Average Total Annual Income (Thousands of US Dollars)",
          "rawType": "float64",
          "type": "float"
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "317e3866-d3b6-4d73-b71e-770ef0c71c87",
+       "ref": "027d0d88-5215-4c95-8ad2-8ffa1b5f06ff",
        "rows": [
         [
          "0",
@@ -4215,251 +4217,11 @@
          "60614",
          "10.97",
          "253.0"
-        ],
-        [
-         "10",
-         "60615",
-         "34.07",
-         "71.0"
-        ],
-        [
-         "11",
-         "60616",
-         "25.3",
-         "63.0"
-        ],
-        [
-         "12",
-         "60617",
-         "36.79",
-         "34.0"
-        ],
-        [
-         "13",
-         "60618",
-         "11.59",
-         "86.0"
-        ],
-        [
-         "14",
-         "60619",
-         "64.03",
-         "36.0"
-        ],
-        [
-         "15",
-         "60620",
-         "66.19",
-         "36.0"
-        ],
-        [
-         "16",
-         "60621",
-         "107.75",
-         "20.0"
-        ],
-        [
-         "17",
-         "60622",
-         "22.8",
-         "131.0"
-        ],
-        [
-         "18",
-         "60623",
-         "45.98",
-         "27.0"
-        ],
-        [
-         "19",
-         "60624",
-         "106.59",
-         "28.0"
-        ],
-        [
-         "20",
-         "60625",
-         "13.53",
-         "66.0"
-        ],
-        [
-         "21",
-         "60626",
-         "22.44",
-         "47.0"
-        ],
-        [
-         "22",
-         "60628",
-         "55.84",
-         "36.0"
-        ],
-        [
-         "23",
-         "60629",
-         "25.41",
-         "34.0"
-        ],
-        [
-         "24",
-         "60630",
-         "10.49",
-         "61.0"
-        ],
-        [
-         "25",
-         "60631",
-         "6.81",
-         "98.0"
-        ],
-        [
-         "26",
-         "60632",
-         "16.5",
-         "31.0"
-        ],
-        [
-         "27",
-         "60633",
-         "14.26",
-         "54.0"
-        ],
-        [
-         "28",
-         "60634",
-         "11.47",
-         "54.0"
-        ],
-        [
-         "29",
-         "60636",
-         "98.55",
-         "26.0"
-        ],
-        [
-         "30",
-         "60637",
-         "62.09",
-         "49.0"
-        ],
-        [
-         "31",
-         "60638",
-         "9.51",
-         "57.0"
-        ],
-        [
-         "32",
-         "60639",
-         "22.14",
-         "32.0"
-        ],
-        [
-         "33",
-         "60640",
-         "16.82",
-         "81.0"
-        ],
-        [
-         "34",
-         "60641",
-         "16.69",
-         "53.0"
-        ],
-        [
-         "35",
-         "60642",
-         "23.64",
-         "134.0"
-        ],
-        [
-         "36",
-         "60643",
-         "28.45",
-         "66.0"
-        ],
-        [
-         "37",
-         "60644",
-         "79.61",
-         "30.0"
-        ],
-        [
-         "38",
-         "60645",
-         "11.78",
-         "52.0"
-        ],
-        [
-         "39",
-         "60646",
-         "5.11",
-         "104.0"
-        ],
-        [
-         "40",
-         "60647",
-         "15.27",
-         "90.0"
-        ],
-        [
-         "41",
-         "60649",
-         "61.72",
-         "32.0"
-        ],
-        [
-         "42",
-         "60651",
-         "43.44",
-         "30.0"
-        ],
-        [
-         "43",
-         "60652",
-         "17.33",
-         "48.0"
-        ],
-        [
-         "44",
-         "60653",
-         "41.96",
-         "44.0"
-        ],
-        [
-         "45",
-         "60654",
-         "40.41",
-         "270.0"
-        ],
-        [
-         "46",
-         "60655",
-         "5.67",
-         "89.0"
-        ],
-        [
-         "47",
-         "60656",
-         "8.19",
-         "70.0"
-        ],
-        [
-         "48",
-         "60657",
-         "13.66",
-         "157.0"
-        ],
-        [
-         "49",
-         "60659",
-         "12.45",
-         "44.0"
         ]
        ],
        "shape": {
         "columns": 3,
-        "rows": 54
+        "rows": 10
        }
       },
       "text/html": [
@@ -4483,7 +4245,7 @@
        "      <th></th>\n",
        "      <th>Zip Code</th>\n",
        "      <th>Number of Violent Crimes per Thousand Residents</th>\n",
-       "      <th>Average Total Annual Income</th>\n",
+       "      <th>Average Total Annual Income (Thousands of US Dollars)</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -4547,386 +4309,34 @@
        "      <td>10.97</td>\n",
        "      <td>253.0</td>\n",
        "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>60615</td>\n",
-       "      <td>34.07</td>\n",
-       "      <td>71.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>60616</td>\n",
-       "      <td>25.30</td>\n",
-       "      <td>63.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>60617</td>\n",
-       "      <td>36.79</td>\n",
-       "      <td>34.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>60618</td>\n",
-       "      <td>11.59</td>\n",
-       "      <td>86.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>60619</td>\n",
-       "      <td>64.03</td>\n",
-       "      <td>36.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
-       "      <td>60620</td>\n",
-       "      <td>66.19</td>\n",
-       "      <td>36.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>60621</td>\n",
-       "      <td>107.75</td>\n",
-       "      <td>20.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>17</th>\n",
-       "      <td>60622</td>\n",
-       "      <td>22.80</td>\n",
-       "      <td>131.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>18</th>\n",
-       "      <td>60623</td>\n",
-       "      <td>45.98</td>\n",
-       "      <td>27.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>19</th>\n",
-       "      <td>60624</td>\n",
-       "      <td>106.59</td>\n",
-       "      <td>28.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>20</th>\n",
-       "      <td>60625</td>\n",
-       "      <td>13.53</td>\n",
-       "      <td>66.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>60626</td>\n",
-       "      <td>22.44</td>\n",
-       "      <td>47.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>22</th>\n",
-       "      <td>60628</td>\n",
-       "      <td>55.84</td>\n",
-       "      <td>36.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>23</th>\n",
-       "      <td>60629</td>\n",
-       "      <td>25.41</td>\n",
-       "      <td>34.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>24</th>\n",
-       "      <td>60630</td>\n",
-       "      <td>10.49</td>\n",
-       "      <td>61.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25</th>\n",
-       "      <td>60631</td>\n",
-       "      <td>6.81</td>\n",
-       "      <td>98.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>26</th>\n",
-       "      <td>60632</td>\n",
-       "      <td>16.50</td>\n",
-       "      <td>31.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>27</th>\n",
-       "      <td>60633</td>\n",
-       "      <td>14.26</td>\n",
-       "      <td>54.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>28</th>\n",
-       "      <td>60634</td>\n",
-       "      <td>11.47</td>\n",
-       "      <td>54.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>29</th>\n",
-       "      <td>60636</td>\n",
-       "      <td>98.55</td>\n",
-       "      <td>26.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>30</th>\n",
-       "      <td>60637</td>\n",
-       "      <td>62.09</td>\n",
-       "      <td>49.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>31</th>\n",
-       "      <td>60638</td>\n",
-       "      <td>9.51</td>\n",
-       "      <td>57.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>32</th>\n",
-       "      <td>60639</td>\n",
-       "      <td>22.14</td>\n",
-       "      <td>32.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>33</th>\n",
-       "      <td>60640</td>\n",
-       "      <td>16.82</td>\n",
-       "      <td>81.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>34</th>\n",
-       "      <td>60641</td>\n",
-       "      <td>16.69</td>\n",
-       "      <td>53.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>35</th>\n",
-       "      <td>60642</td>\n",
-       "      <td>23.64</td>\n",
-       "      <td>134.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>36</th>\n",
-       "      <td>60643</td>\n",
-       "      <td>28.45</td>\n",
-       "      <td>66.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>37</th>\n",
-       "      <td>60644</td>\n",
-       "      <td>79.61</td>\n",
-       "      <td>30.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>38</th>\n",
-       "      <td>60645</td>\n",
-       "      <td>11.78</td>\n",
-       "      <td>52.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>39</th>\n",
-       "      <td>60646</td>\n",
-       "      <td>5.11</td>\n",
-       "      <td>104.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>40</th>\n",
-       "      <td>60647</td>\n",
-       "      <td>15.27</td>\n",
-       "      <td>90.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>41</th>\n",
-       "      <td>60649</td>\n",
-       "      <td>61.72</td>\n",
-       "      <td>32.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>42</th>\n",
-       "      <td>60651</td>\n",
-       "      <td>43.44</td>\n",
-       "      <td>30.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>43</th>\n",
-       "      <td>60652</td>\n",
-       "      <td>17.33</td>\n",
-       "      <td>48.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>44</th>\n",
-       "      <td>60653</td>\n",
-       "      <td>41.96</td>\n",
-       "      <td>44.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>45</th>\n",
-       "      <td>60654</td>\n",
-       "      <td>40.41</td>\n",
-       "      <td>270.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>46</th>\n",
-       "      <td>60655</td>\n",
-       "      <td>5.67</td>\n",
-       "      <td>89.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>47</th>\n",
-       "      <td>60656</td>\n",
-       "      <td>8.19</td>\n",
-       "      <td>70.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>48</th>\n",
-       "      <td>60657</td>\n",
-       "      <td>13.66</td>\n",
-       "      <td>157.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>49</th>\n",
-       "      <td>60659</td>\n",
-       "      <td>12.45</td>\n",
-       "      <td>44.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50</th>\n",
-       "      <td>60660</td>\n",
-       "      <td>11.33</td>\n",
-       "      <td>64.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>51</th>\n",
-       "      <td>60661</td>\n",
-       "      <td>16.32</td>\n",
-       "      <td>234.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>52</th>\n",
-       "      <td>60707</td>\n",
-       "      <td>4.99</td>\n",
-       "      <td>58.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>53</th>\n",
-       "      <td>60827</td>\n",
-       "      <td>19.42</td>\n",
-       "      <td>25.0</td>\n",
-       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   Zip Code  Number of Violent Crimes per Thousand Residents  \\\n",
-       "0     60601                                            29.50   \n",
-       "1     60605                                            24.26   \n",
-       "2     60607                                            28.81   \n",
-       "3     60608                                            20.85   \n",
-       "4     60609                                            37.25   \n",
-       "5     60610                                            23.31   \n",
-       "6     60611                                            29.80   \n",
-       "7     60612                                            65.84   \n",
-       "8     60613                                            12.67   \n",
-       "9     60614                                            10.97   \n",
-       "10    60615                                            34.07   \n",
-       "11    60616                                            25.30   \n",
-       "12    60617                                            36.79   \n",
-       "13    60618                                            11.59   \n",
-       "14    60619                                            64.03   \n",
-       "15    60620                                            66.19   \n",
-       "16    60621                                           107.75   \n",
-       "17    60622                                            22.80   \n",
-       "18    60623                                            45.98   \n",
-       "19    60624                                           106.59   \n",
-       "20    60625                                            13.53   \n",
-       "21    60626                                            22.44   \n",
-       "22    60628                                            55.84   \n",
-       "23    60629                                            25.41   \n",
-       "24    60630                                            10.49   \n",
-       "25    60631                                             6.81   \n",
-       "26    60632                                            16.50   \n",
-       "27    60633                                            14.26   \n",
-       "28    60634                                            11.47   \n",
-       "29    60636                                            98.55   \n",
-       "30    60637                                            62.09   \n",
-       "31    60638                                             9.51   \n",
-       "32    60639                                            22.14   \n",
-       "33    60640                                            16.82   \n",
-       "34    60641                                            16.69   \n",
-       "35    60642                                            23.64   \n",
-       "36    60643                                            28.45   \n",
-       "37    60644                                            79.61   \n",
-       "38    60645                                            11.78   \n",
-       "39    60646                                             5.11   \n",
-       "40    60647                                            15.27   \n",
-       "41    60649                                            61.72   \n",
-       "42    60651                                            43.44   \n",
-       "43    60652                                            17.33   \n",
-       "44    60653                                            41.96   \n",
-       "45    60654                                            40.41   \n",
-       "46    60655                                             5.67   \n",
-       "47    60656                                             8.19   \n",
-       "48    60657                                            13.66   \n",
-       "49    60659                                            12.45   \n",
-       "50    60660                                            11.33   \n",
-       "51    60661                                            16.32   \n",
-       "52    60707                                             4.99   \n",
-       "53    60827                                            19.42   \n",
+       "  Zip Code  Number of Violent Crimes per Thousand Residents  \\\n",
+       "0    60601                                            29.50   \n",
+       "1    60605                                            24.26   \n",
+       "2    60607                                            28.81   \n",
+       "3    60608                                            20.85   \n",
+       "4    60609                                            37.25   \n",
+       "5    60610                                            23.31   \n",
+       "6    60611                                            29.80   \n",
+       "7    60612                                            65.84   \n",
+       "8    60613                                            12.67   \n",
+       "9    60614                                            10.97   \n",
        "\n",
-       "    Average Total Annual Income  \n",
-       "0                         238.0  \n",
-       "1                         155.0  \n",
-       "2                         156.0  \n",
-       "3                          38.0  \n",
-       "4                          34.0  \n",
-       "5                         215.0  \n",
-       "6                         388.0  \n",
-       "7                          53.0  \n",
-       "8                         128.0  \n",
-       "9                         253.0  \n",
-       "10                         71.0  \n",
-       "11                         63.0  \n",
-       "12                         34.0  \n",
-       "13                         86.0  \n",
-       "14                         36.0  \n",
-       "15                         36.0  \n",
-       "16                         20.0  \n",
-       "17                        131.0  \n",
-       "18                         27.0  \n",
-       "19                         28.0  \n",
-       "20                         66.0  \n",
-       "21                         47.0  \n",
-       "22                         36.0  \n",
-       "23                         34.0  \n",
-       "24                         61.0  \n",
-       "25                         98.0  \n",
-       "26                         31.0  \n",
-       "27                         54.0  \n",
-       "28                         54.0  \n",
-       "29                         26.0  \n",
-       "30                         49.0  \n",
-       "31                         57.0  \n",
-       "32                         32.0  \n",
-       "33                         81.0  \n",
-       "34                         53.0  \n",
-       "35                        134.0  \n",
-       "36                         66.0  \n",
-       "37                         30.0  \n",
-       "38                         52.0  \n",
-       "39                        104.0  \n",
-       "40                         90.0  \n",
-       "41                         32.0  \n",
-       "42                         30.0  \n",
-       "43                         48.0  \n",
-       "44                         44.0  \n",
-       "45                        270.0  \n",
-       "46                         89.0  \n",
-       "47                         70.0  \n",
-       "48                        157.0  \n",
-       "49                         44.0  \n",
-       "50                         64.0  \n",
-       "51                        234.0  \n",
-       "52                         58.0  \n",
-       "53                         25.0  "
+       "   Average Total Annual Income (Thousands of US Dollars)  \n",
+       "0                                              238.0      \n",
+       "1                                              155.0      \n",
+       "2                                              156.0      \n",
+       "3                                               38.0      \n",
+       "4                                               34.0      \n",
+       "5                                              215.0      \n",
+       "6                                              388.0      \n",
+       "7                                               53.0      \n",
+       "8                                              128.0      \n",
+       "9                                              253.0      "
       ]
      },
      "metadata": {},
@@ -4934,27 +4344,174 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "application/vnd.microsoft.datawrangler.viewer.v0+json": {
+       "columns": [
+        {
+         "name": "index",
+         "rawType": "object",
+         "type": "string"
+        },
+        {
+         "name": "Number of Violent Crimes per Thousand Residents",
+         "rawType": "float64",
+         "type": "float"
+        },
+        {
+         "name": "Average Total Annual Income (Thousands of US Dollars)",
+         "rawType": "float64",
+         "type": "float"
+        }
+       ],
+       "conversionMethod": "pd.DataFrame",
+       "ref": "c5c2e44f-248b-4d36-9e50-0be877cb5cbd",
+       "rows": [
+        [
+         "count",
+         "54.0",
+         "54.0"
+        ],
+        [
+         "mean",
+         "30.88240740740741",
+         "85.37037037037037"
+        ],
+        [
+         "std",
+         "25.582880252613602",
+         "75.89026245645283"
+        ],
+        [
+         "min",
+         "4.99",
+         "20.0"
+        ],
+        [
+         "25%",
+         "12.885",
+         "36.0"
+        ],
+        [
+         "50%",
+         "22.62",
+         "55.5"
+        ],
+        [
+         "75%",
+         "39.62",
+         "96.0"
+        ],
+        [
+         "max",
+         "107.75",
+         "388.0"
+        ]
+       ],
+       "shape": {
+        "columns": 2,
+        "rows": 8
+       }
+      },
+      "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>Number of Violent Crimes per Thousand Residents</th>\n",
+       "      <th>Average Total Annual Income (Thousands of US Dollars)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>54.000000</td>\n",
+       "      <td>54.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>30.882407</td>\n",
+       "      <td>85.370370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>25.582880</td>\n",
+       "      <td>75.890262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.990000</td>\n",
+       "      <td>20.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>12.885000</td>\n",
+       "      <td>36.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>22.620000</td>\n",
+       "      <td>55.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>39.620000</td>\n",
+       "      <td>96.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>107.750000</td>\n",
+       "      <td>388.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
+       "       Number of Violent Crimes per Thousand Residents  \\\n",
+       "count                                        54.000000   \n",
+       "mean                                         30.882407   \n",
+       "std                                          25.582880   \n",
+       "min                                           4.990000   \n",
+       "25%                                          12.885000   \n",
+       "50%                                          22.620000   \n",
+       "75%                                          39.620000   \n",
+       "max                                         107.750000   \n",
+       "\n",
+       "       Average Total Annual Income (Thousands of US Dollars)  \n",
+       "count                                          54.000000      \n",
+       "mean                                           85.370370      \n",
+       "std                                            75.890262      \n",
+       "min                                            20.000000      \n",
+       "25%                                            36.000000      \n",
+       "50%                                            55.500000      \n",
+       "75%                                            96.000000      \n",
+       "max                                           388.000000      "
       ]
      },
+     "execution_count": 219,
      "metadata": {},
-     "output_type": "display_data"
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "crime_vs_income = pd.merge(zip_freqs, income, on=\"ZIP\", how=\"left\")\n",
-    "crime_vs_income.columns = [\"Zip Code\", \"Number of Violent Crimes per Thousand Residents\", \"Average Total Annual Income\"]\n",
+    "crime_vs_income.columns = [\"Zip Code\", \"Number of Violent Crimes per Thousand Residents\", \"Average Total Annual Income (Thousands of US Dollars)\"]\n",
     "crime_vs_income.set_index(crime_vs_income[\"Zip Code\"])\n",
-    "\n",
-    "plt.scatter(crime_vs_income[\"Average Total Annual Income\"], crime_vs_income[\"Number of Violent Crimes per Thousand Residents\"])\n",
-    "plt.xlabel(\"Average Total Annual Income (Thousands of US Dollars)\")\n",
-    "plt.ylabel(\"Number of Violent Crimes per Thousand Residents\")\n",
-    "plt.title(\"Income vs Crime in Chicago (2019)\")\n",
-    "\n",
-    "display(crime_vs_income.head(100))\n",
-    "plt.show()"
+    "display(crime_vs_income.head(10))\n",
+    "crime_vs_income.describe()\n"
    ]
   },
   {
@@ -4968,30 +4525,81 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 205,
    "metadata": {
     "id": "86XH7FSneiSx"
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.scatter(crime_vs_income[\"Average Total Annual Income (Thousands of US Dollars)\"], crime_vs_income[\"Number of Violent Crimes per Thousand Residents\"])\n",
+    "plt.xlabel(\"Average Total Annual Income (Thousands of US Dollars)\", fontsize=12)\n",
+    "plt.ylabel(\"Number of Violent Crimes per Thousand Residents\", fontsize=12)\n",
+    "plt.title(\"Income vs Crime in Chicago (2019)\")\n",
+    "plt.show()\n"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 213,
    "metadata": {
     "id": "1DB_24FQeiSx"
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(income[\"Average Total Income (USD)\"], bins=10)\n",
+    "plt.xlabel(\"Average Total Annual Income (Thousands of US Dollars)\")\n",
+    "plt.ylabel(\"Number of ZIP Codes\")\n",
+    "plt.title(\"Income Distribution in Chicago by ZIP Code (2019)\")\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 220,
    "metadata": {
     "id": "5rW0P_lyeiSx"
    },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(zip_freqs[\"Violent Crimes per Thousand Residents\"], bins=10)\n",
+    "plt.xlabel(\"Violent Crimes per Thousand Residents\")\n",
+    "plt.ylabel(\"Number of ZIP Codes\")\n",
+    "plt.title(\"Crime Rate Distribution in Chicago by ZIP Codes (2019)\")\n",
+    "plt.show()\n"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -5056,6 +4664,17 @@
     "# Code for Part D (if any)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "https://data.cityofchicago.org/Facilities-Geographic-Boundaries/Boundaries-ZIP-Codes-Map/gdcf-axmw\n",
+    "\n",
+    "https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-Present/ijzp-q8t2/about_data\n",
+    "\n",
+    "https://data.cityofchicago.org/api/views/85cm-7uqa/rows.csv?accessType=DOWNLOAD\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/chicagostatsreport.odt b/chicagostatsreport.odt
index 453cc6b..47fdbd0 100644
Binary files a/chicagostatsreport.odt and b/chicagostatsreport.odt differ