diff --git a/notebook.ipynb b/notebook.ipynb
index 9288a67..4e5e7a6 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -12,11 +12,1011 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# put code in here"
+    "# put code in here\n",
+    "import pandas as pd\n",
+    "import plotly.express as px\n",
+    "\n",
+    "# read in crime data from 2008-2023 April : https://data.seattle.gov/Public-Safety/SPD-Crime-Data-2008-Present/tazs-3rd5\n",
+    "full = pd.read_csv('./data/seattle-crime.csv')\n",
+    "\n",
+    "# remove values where no know lat/long\n",
+    "full = full[full.Latitude != 0]\n",
+    "full = full[full.Longitude != 0]\n",
+    "\n",
+    "# only look at the most common crime type\n",
+    "df = full.loc[full['Offense Parent Group'] == 'LARCENY-THEFT']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
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+        "plotlyServerURL": "https://plot.ly"
+       },
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+         "legendgroup": "Theft of Motor Vehicle Parts or Accessories",
+         "marker": {
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+         "name": "Theft of Motor Vehicle Parts or Accessories",
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+         "hovertemplate": "Offense=Shoplifting<br>Latitude=%{x}<br>Longitude=%{y}<extra></extra>",
+         "legendgroup": "Shoplifting",
+         "marker": {
+          "color": "#EF553B",
+          "symbol": "circle"
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+         "mode": "markers",
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                       {\"responsive\": true}                    ).then(function(){\n",
+       "                            \n",
+       "var gd = document.getElementById('1317cf1a-5876-412e-97bb-56b011dc1cb4');\n",
+       "var x = new MutationObserver(function (mutations, observer) {{\n",
+       "        var display = window.getComputedStyle(gd).display;\n",
+       "        if (!display || display === 'none') {{\n",
+       "            console.log([gd, 'removed!']);\n",
+       "            Plotly.purge(gd);\n",
+       "            observer.disconnect();\n",
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+       "}});\n",
+       "\n",
+       "// Listen for the removal of the full notebook cells\n",
+       "var notebookContainer = gd.closest('#notebook-container');\n",
+       "if (notebookContainer) {{\n",
+       "    x.observe(notebookContainer, {childList: true});\n",
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+       "\n",
+       "// Listen for the clearing of the current output cell\n",
+       "var outputEl = gd.closest('.output');\n",
+       "if (outputEl) {{\n",
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+       "\n",
+       "                        })                };                });            </script>        </div>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# get the unique values df.Offense.unique()\n",
+    "# 'Theft of Motor Vehicle Parts or Accessories', 'Shoplifting', \n",
+    "#       'Theft From Motor Vehicle', 'Theft From Building'\n",
+    "\n",
+    "# df['Latitude'].plot(kind='box')\n",
+    "# df['Latitude'].mode()\n",
+    "\n",
+    "# px.scatter_mapbox(\n",
+    "#     df,\n",
+    "#     lat=\"Latitude\",\n",
+    "#     lon=\"Longitude\",\n",
+    "#     color=\"Offense\",\n",
+    "#     color_discrete_map={\"Theft of Motor Vehicle Parts or Accessories\": \"turquoise\", \"Shoplifting\": \"green\", \"Theft From Motor Vehicle\": \"brown\", \"Theft From Building\":\"red\"},\n",
+    "# )\n",
+    "\n",
+    "fig = px.scatter(df, x=\"Latitude\", y=\"Longitude\", color=\"Offense\")\n",
+    "fig.show()"
    ]
   }
  ],
@@ -27,8 +1027,16 @@
    "name": "python3"
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+    "name": "ipython",
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+   "mimetype": "text/x-python",
    "name": "python",
-   "version": "3.11.1 (main, Dec 23 2022, 09:28:24) [Clang 14.0.0 (clang-1400.0.29.202)]"
+   "nbconvert_exporter": "python",
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