diff --git a/notebooks/Dashboard.ipynb b/notebooks/Dashboard.ipynb
index 6c8183f6cba676e56a5eeef222077796dabbd54c..a077f842b6daccddb2869fc25df756550635f9f4 100644
--- a/notebooks/Dashboard.ipynb
+++ b/notebooks/Dashboard.ipynb
@@ -37,6 +37,7 @@
     "ts_folder = \"../data/covid-19_jhu-csse/\"\n",
     "rates_folder = \"../data/covid-19_rates/\"\n",
     "geodata_path = \"../data/geodata/geo_data.csv\"\n",
+    "atlas_path = \"../data/atlas\"\n",
     "out_folder = None\n",
     "PAPERMILL_OUTPUT_PATH = None"
    ]
@@ -49,7 +50,7 @@
    "source": [
     "# Read in and transform the case data\n",
     "from covid_19_utils.converters import CaseConverter\n",
-    "converter = CaseConverter('../data/atlas')\n",
+    "converter = CaseConverter(atlas_path)\n",
     "jhu_df = converter.read_convert(ts_folder)\n",
     "\n",
     "# Read in geographical data\n",
@@ -89,9 +90,7 @@
     "Understanding the spread, distribution, and deadliness of COVID-19 is difficult, despite the data available about it. Differences in rates of testing, quality of data, demographics, etc. make it difficult to compare data between countries. \n",
     "\n",
     "All this needs to be considered when looking at the plots below. But despite those caveats, I found it helpful to plot the raw data, even though direct comparisons between countries might not be inaccurate."
-   ],
-   "execution_count": null,
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
@@ -108,9 +107,7 @@
    "metadata": {},
    "source": [
     "## How are cases per 100,000 distributed geographically?"
-   ],
-   "execution_count": null,
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
@@ -127,8 +124,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "map_df = latest_df[latest_df.country_label.isin(countries_over_thresh)]\n",
-    ""
+    "map_df = latest_df[latest_df.country_label.isin(countries_over_thresh)]\n"
    ]
   },
   {
@@ -183,9 +179,7 @@
    "metadata": {},
    "source": [
     "## How have cases been growing?"
-   ],
-   "execution_count": null,
-   "outputs": []
+   ]
   },
   {
    "cell_type": "code",
@@ -295,21 +289,14 @@
     "  <a href=\"https://worldmap.harvard.edu/data/geonode:country_centroids_az8\">Harvard Worldmap</a>\n",
     "</p>'''))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
   "hide_input": true,
   "kernelspec": {
-   "display_name": "Python 3.7.7 64-bit ('.venv': venv)",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python37764bitvenvvenv814492364d964019a25eb1cf3dc3e99c"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -321,9 +308,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.7-final"
+   "version": "3.7.3"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
\ No newline at end of file
+}