diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..763513e
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1 @@
+.ipynb_checkpoints
diff --git a/environment.yml b/environment.yml
index 158f661..79a5eae 100644
--- a/environment.yml
+++ b/environment.yml
@@ -1,4 +1,4 @@
-name: coiled
+name: coiled-examples
 channels:
   - conda-forge
   - defaults
diff --git a/uber-lyft.ipynb b/uber-lyft.ipynb
index 0494af9..fef7b0d 100644
--- a/uber-lyft.ipynb
+++ b/uber-lyft.ipynb
@@ -28,21 +28,37 @@
    "source": [
     "import coiled\n",
     "\n",
+    "name = \"your_name\" #avoid reusing teamate clusters\n",
+    "\n",
     "cluster = coiled.Cluster(\n",
     "    n_workers=30,\n",
     "    account=\"events\",\n",
-    "    name=\"uber-lyft\",\n",
+    "    name=f\"uber-lyft_pydata-seattle_{name}\",\n",
     "    shutdown_on_close=False,\n",
     ")\n",
     "\n",
     "client = cluster.get_client()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "30f1ed22-0346-462e-b6a9-3e3a385702ae",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "client"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "id": "33b598a4-fe0a-43c5-8007-0e955ac193f9",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "import dask\n",
@@ -76,7 +92,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "95a96932-2109-447c-9eb3-0d235de5e973",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "df = df.persist()\n",
@@ -88,7 +106,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "0d1b4b93-3c0d-430b-9d3a-4573d52d991d",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%time df.base_passenger_fare.sum().compute()"
@@ -110,7 +130,6 @@
    "cell_type": "markdown",
    "id": "48f4dbf8-86c6-4cfc-8125-a67ea2ddfbed",
    "metadata": {
-    "jp-MarkdownHeadingCollapsed": true,
     "tags": []
    },
    "source": [
@@ -121,7 +140,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "f0068858-cce5-4939-85df-7251bd0923c2",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "total = df[[\"base_passenger_fare\", \"driver_pay\", \"tips\", \"trip_miles\"]].sum()\n",
@@ -133,7 +154,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "e3abf9cf-303d-4b79-a541-c337a8c55f35",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "total"
@@ -143,7 +166,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "327134c9-409c-4979-acb7-e987fe86d7aa",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "average"
@@ -153,7 +178,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "ae57ee02-b8c3-4d9b-a053-2d866bb6ab14",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "total, average = dask.compute(total, average)"
@@ -171,7 +198,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "0779b461-afe8-4f1d-8648-8b92c4f63220",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "df[df.tips != 0].tips.mean().compute()"
@@ -237,7 +266,9 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "b71729eb-f841-433a-b020-0f2b1c425355",
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "df.hvfhs_license_num.value_counts().compute()"
@@ -254,7 +285,35 @@
    "source": [
     "df[\"tipped\"] = df.tips != 0\n",
     "\n",
-    "df.groupby(\"hvfhs_license_num\").tipped.mean().compute()"
+    "tip_by_provider = df.groupby(\"hvfhs_license_num\").tipped.mean().compute()\n",
+    "tip_by_provider"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07cafdb6-dea7-4748-b1cd-0072bb306bbf",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tip_by_provider"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3877c42-17db-44ed-a674-0699ccecf886",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "provider = {\"HV0002\": \"Juno\", \"HV0005\": \"Lyft\", \"HV0003\": \"Uber\", \"HV0004\": \"Via\"}\n",
+    "tip_by_provider = tip_by_provider.to_frame().set_index(tip_by_provider.index.map(provider))\n",
+    "\n",
+    "tip_by_provider"
    ]
   },
   {