Clear execution in quick-start notebook.

QuickStart.ipynb

@@ -9,15 +9,6 @@
     "dataset."
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip install -r requirements.txt"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -26,8 +17,7 @@
    "source": [
     "import quilt\n",
     "import numpy as np\n",
-    "import pandas as pd\n",
-    "quilt.install('ResidentMario/missingno_data', force=True)"
+    "import pandas as pd"
    ]
   },
   {
@@ -228,9 +218,7 @@
     "supports visualizing geospatial data nullity patterns with a geoplot visualization. This is an experimental data \n",
     "visualization type, and requires the [`geoplot`](https://github.com/ResidentMario/geoplot) and [`geopandas`](http://geopandas.org/) \n",
     "libraries. These are optional dependencies are must be installed separately from the rest of `missingno`. Once you \n",
-    "have them you can run:\n",
-    "\n",
-    "    "
+    "have them you can run:"
    ]
   },
   {
@@ -258,14 +246,22 @@
     "small datasets like this sample one.\n",
     "\n",
     "If you can specify a geographic grouping within the dataset, you can plot your data as a set of minimum-enclosure \n",
-    "[convex hulls](https://en.wikipedia.org/wiki/Convex_hull) instead:\n",
-    "\n",
-    "    >>> msno.geoplot(collisions, x='LONGITUDE', y='LATITUDE', by='ZIP CODE')\n",
-    "\n",
-    "![alt-text][hull-geoplot]\n",
-    "\n",
-    "[hull-geoplot]: https://i.imgur.com/osnPwEE.png\n",
-    "\n",
+    "[convex hulls](https://en.wikipedia.org/wiki/Convex_hull) instead:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "msno.geoplot(collisions, x='LONGITUDE', y='LATITUDE', by='ZIP CODE')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
     "Convex hulls are usually more interpretable than the quadtree, especially when the underlying dataset is relatively \n",
     "small (as this one is). We again see a data nullity distribution that's seemingly at random, giving us confidence \n",
     "that the nullity of collision records is not geographically variable.\n",
@@ -283,6 +279,13 @@
     "you're interested in contributing to this library, see details on doing so in the `CONTRIBUTING.md` file in this \n",
     "repository."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {