diff --git a/notebooks/Dashboard.ipynb b/notebooks/Dashboard.ipynb
index 81a9f0ea39a8c8382fa5dcb2ae5747d74fa95cd3..ed4cb56a3c22fda69c6595762e4f85893ab3eb57 100644
--- a/notebooks/Dashboard.ipynb
+++ b/notebooks/Dashboard.ipynb
@@ -188,7 +188,7 @@
    "outputs": [],
    "source": [
     "# select countries over a certain per capita case threshold\n",
-    "per_capita_thresh = 1200\n",
+    "per_capita_thresh = 2100\n",
     "countries_over_thresh_per_capita = latest_df[latest_df.positive_100k > per_capita_thresh].country_label\n",
     "countries_over_thresh_per_capita = [c for c in countries_over_thresh_per_capita if c not in set(['Andorra', 'Iceland', 'San Marino'])]\n",
     "\n",
diff --git a/notebooks/covid-19-ecdc.ipynb b/notebooks/covid-19-ecdc.ipynb
index 893b6835a1af27af6a1220a787f17a6da834c02d..f5f731bfb0739c7f04b4452b79544d78993254d3 100644
--- a/notebooks/covid-19-ecdc.ipynb
+++ b/notebooks/covid-19-ecdc.ipynb
@@ -81,7 +81,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "nthresh=300000\n",
+    "nthresh=500000\n",
     "country_max_ser = df.set_index(['country_label', 'date'])['positive'].groupby(level='country_label').max()\n",
     "countries_over_thresh = country_max_ser[country_max_ser>nthresh].index\n",
     "countries_over_thresh = [c for c in countries_over_thresh if c not in set(['Andorra', 'Iceland', 'San Marino'])]\n",
diff --git a/notebooks/covid-19-us-nyt.ipynb b/notebooks/covid-19-us-nyt.ipynb
index ff37ece54901b14cefe5b367dbe3952489551c90..1f49d9b8cd29676cc676f67f9ec8b5346e4e048c 100644
--- a/notebooks/covid-19-us-nyt.ipynb
+++ b/notebooks/covid-19-us-nyt.ipynb
@@ -200,7 +200,7 @@
     "    pos_day=(12, 20000), \n",
     "    pos_3days=(40,20000),\n",
     "    pos_week=(44,100),\n",
-    "    max_days=150, \n",
+    "    max_days=250, \n",
     "    max_case=50000,\n",
     "    start_case=10\n",
     ")\n",
diff --git a/notebooks/openzh-covid-19.ipynb b/notebooks/openzh-covid-19.ipynb
index 97607cc8d780de22883d7cf0f2ee1817fcf5b4db..4d4797b61a5234d2dc2b07cafd0ca32280e07e5a 100644
--- a/notebooks/openzh-covid-19.ipynb
+++ b/notebooks/openzh-covid-19.ipynb
@@ -93,7 +93,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "base = alt.Chart(df)\n",
+    "startdate = \"2020-08-01\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "base = alt.Chart(df[df['date'] > startdate])\n",
     "base.configure_header(titleFontSize=25)\n",
     "base.configure_axis(labelFontSize=15, titleFontSize=15)\n",
     "\n",
@@ -139,7 +148,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "base = alt.Chart(df)\n",
+    "base = alt.Chart(df[df['date'] > startdate])\n",
     "base.configure_header(titleFontSize=25)\n",
     "base.configure_axis(labelFontSize=15, titleFontSize=15)\n",
     "\n",
@@ -178,16 +187,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "since_100th_case = helper.make_since_df(df, 'positive', 'canton')\n",
+    "since_100th_case = helper.make_since_df(df, 'positive', 'canton', start_case=1000)\n",
     "\n",
-    "base = alt.Chart(since_100th_case, title=\"Switzerland: total cases since 100th case\").encode(alt.Y(scale=alt.Scale(type='log')))\n",
+    "base = alt.Chart(since_100th_case, title=\"Switzerland: total cases since 1000th case\").encode(alt.Y(scale=alt.Scale(type='log')))\n",
     "\n",
     "lineChart = plotting.make_region_since_chart(\n",
     "    base, \n",
     "    'positive', \n",
     "    'sinceDay0', \n",
     "    'canton', \n",
-    "    'Days since 100th case',\n",
+    "    'Days since 1000th case',\n",
     "    'Cumulative positive cases',\n",
     "    'Cases',\n",
     "    'Canton'\n",
@@ -196,9 +205,7 @@
     "    height=450\n",
     ")\n",
     "\n",
-    "rule_chart = plotting.make_rule_chart(max_days=max(since_100th_case['sinceDay0']), pos_day=(9,5000), pos_3days=(19,8000))\n",
-    "\n",
-    "lineChart + rule_chart"
+    "lineChart "
    ]
   },
   {