diff --git a/src/explore.ipynb b/src/explore.ipynb
index 738d32419694c963988a0c575d60516aeac05fd4..3578be77528fe349a6cf0aee634a6f9cbb66e290 100644
--- a/src/explore.ipynb
+++ b/src/explore.ipynb
@@ -667,6 +667,42 @@
     "#TODO: why is the peak there? there's an upward tendency"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# The same plot as above, but \"zoomed in\", so we can actually read the values for single months\n",
+    "fig, ax = plt.subplots(num=None, figsize=(18, 6), dpi=80, facecolor='w', edgecolor='k')\n",
+    "\n",
+    "xfmt = matplotlib.dates.DateFormatter('%Y/%m')\n",
+    "ax.xaxis.set_major_formatter(xfmt)\n",
+    "\n",
+    "locator = matplotlib.dates.MonthLocator(bymonth=[1,5,9])\n",
+    "ax.xaxis.set_major_locator(locator)\n",
+    "\n",
+    "plt.xlabel('Month')\n",
+    "plt.ylabel('Num hits')\n",
+    "plt.plot_date(df_hits['LogMonth'],df_hits['Freq'], 'bo')\n",
+    "#plt.xticks(matplotlib.dates.date2num(df_hits['LogMonth']))\n",
+    "plt.setp(plt.gca().xaxis.get_majorticklabels(),\n",
+    "         'rotation', 60)\n",
+    "plt.grid(color='0.7', linestyle='-', linewidth=0.2)\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},