diff --git a/chicagostats.ipynb b/chicagostats.ipynb
index 93f0d26..da45940 100644
--- a/chicagostats.ipynb
+++ b/chicagostats.ipynb
@@ -8,8 +8,9 @@
    },
    "outputs": [],
    "source": [
-    "import numpy as np\n",
     "import pandas as pd\n",
+    "\n",
+    "# Imports for geopandas\n",
     "import geopandas as gpd\n",
     "from shapely import wkt\n",
     "from shapely.geometry import Point\n",
@@ -312,7 +313,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "6992c2d2-8f25-4be5-a329-00123cc1f341",
+       "ref": "de5f784b-e1f8-4c86-ae77-44ea11a90734",
        "rows": [
         [
          "0",
@@ -691,7 +692,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "ce4727a3-68c0-4c0b-b25e-1516365b66e5",
+       "ref": "d020feb8-7ffc-4199-a8d7-30009e26a87b",
        "rows": [
         [
          "0",
@@ -1590,7 +1591,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "b68a29c5-7cad-4934-a15f-e63a65e2d390",
+       "ref": "47fd1f05-2491-41e9-a0c8-f29bd9efe432",
        "rows": [
         [
          "0",
@@ -2756,7 +2757,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "153e97dd-f834-448d-8e72-057747559ba1",
+       "ref": "9c46db16-ed4d-470d-8fc3-1d5d5ef6a29c",
        "rows": [
         [
          "0",
@@ -3154,7 +3155,7 @@
    "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. 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."
+    "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. However, I'll admit that I don't understand a lot of the syntax, though it was a lot of fun making maps."
    ]
   },
   {
@@ -3185,7 +3186,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "4e9bacce-bcb9-42eb-94ac-c0b31c790bd2",
+       "ref": "1716ae11-b2b6-4856-b22e-7e12e51b8a03",
        "rows": [
         [
          "0",
@@ -3384,7 +3385,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "6de06fed-716d-4f98-a525-8363755684c7",
+       "ref": "d17c6ca2-432b-4530-858f-9e4cb5a33446",
        "rows": [
         [
          "61",
@@ -3558,7 +3559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {
     "id": "Lzm91TQxeiSw"
    },
@@ -3579,7 +3580,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "d0f5cf75-21fd-4563-9bcd-06d7550d982a",
+       "ref": "5d632cc2-06e2-4be2-9cb9-6efdf1274e2d",
        "rows": [
         [
          "BATTERY",
@@ -3737,7 +3738,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "1ba85941-1bd7-4aa1-b3e2-b23c6e7e84f4",
+       "ref": "aff8949c-631f-4d6c-bffe-dca825926312",
        "rows": [
         [
          "0",
@@ -3916,7 +3917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 8,
    "metadata": {
     "id": "GaIopai0eiSw"
    },
@@ -3942,7 +3943,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "bb30dc52-7d37-46a4-9035-97c84ab42cb5",
+       "ref": "351cf700-ec7b-47b6-b489-0a3480be6a66",
        "rows": [
         [
          "0",
@@ -4092,7 +4093,7 @@
        "9  60614                       253.0"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4124,7 +4125,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 9,
    "metadata": {
     "id": "etMcpFA6eiSw"
    },
@@ -4155,7 +4156,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "4d8d5381-cdfd-4355-b066-cdcd703b90a6",
+       "ref": "e7642c6a-8206-4117-b79d-beb98d552591",
        "rows": [
         [
          "0",
@@ -4362,7 +4363,7 @@
         }
        ],
        "conversionMethod": "pd.DataFrame",
-       "ref": "662caa7c-d30c-462d-b464-340f0dce967c",
+       "ref": "e07a40da-45e6-48c2-be92-de0db83a3647",
        "rows": [
         [
          "count",
@@ -4500,7 +4501,7 @@
        "max                                           388.000000      "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4513,6 +4514,13 @@
     "crime_vs_income.describe()\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -4524,7 +4532,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 10,
    "metadata": {
     "id": "1DB_24FQeiSx"
    },
@@ -4550,7 +4558,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -4575,7 +4583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {
     "id": "5rW0P_lyeiSx"
    },
@@ -4601,7 +4609,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 13,
    "metadata": {
     "id": "woCiUovleiSx"
    },
@@ -4630,7 +4638,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -4657,7 +4665,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -4694,7 +4702,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "id": "86XH7FSneiSx"
    },
@@ -4720,30 +4728,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
-    "id": "IWhZ2TefeiSx"
+    "id": "IWhZ2TefeiSx",
+    "vscode": {
+     "languageId": "ruby"
+    }
    },
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "id": "EFuqF9aDeiSx"
-   },
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "id": "mNewxn9_eiSx"
-   },
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pop_vs_crime = pd.merge(population, zip_freqs, on='ZIP')\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.scatter(pop_vs_crime['Population'], pop_vs_crime['Violent Crimes per Thousand Residents'])\n",
+    "\n",
+    "plt.xlabel('Population Size')\n",
+    "plt.ylabel('Violent Crimes per Thousand Residents')\n",
+    "plt.title('Population vs. Violent Crime Rate by ZIP Code in Chicago (2019)')\n",
+    "\n",
+    "plt.show()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -4754,17 +4769,6 @@
     "# 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 1d05e40..d4964b7 100644
Binary files a/chicagostatsreport.odt and b/chicagostatsreport.odt differ