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diff --git a/.nojekyll b/.nojekyll
@@ -1 +1 @@
-173bb1d7
+bf3476e4
diff --git a/materials/2_data_manipulation_1.html b/materials/2_data_manipulation_1.html
@@ -732,9 +732,9 @@ <h2>A different function</h2>
 <pre><code># A tibble: 3 × 3
   pickup_datetime      year trip_distance
   &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;
-1 2021-11-16 12:55:00  2021       351613.
-2 2021-10-27 17:46:00  2021       345124.
-3 2021-12-11 10:48:00  2021       335094.</code></pre>
+1 2021-11-16 06:55:00  2021       351613.
+2 2021-10-27 11:46:00  2021       345124.
+3 2021-12-11 04:48:00  2021       335094.</code></pre>
 </div>
 </div>
 </section>
@@ -748,9 +748,9 @@ <h2>Or call <code>collect()</code> first</h2>
 <pre><code># A tibble: 3 × 3
   pickup_datetime      year trip_distance
   &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;
-1 2021-10-03 16:45:02  2021          134 
-2 2021-10-03 17:29:35  2021          218.
-3 2021-10-03 17:58:15  2021          225.</code></pre>
+1 2021-01-03 03:01:26  2021          216.
+2 2021-01-03 05:36:52  2021          268.
+3 2021-01-06 01:27:55  2021          271.</code></pre>
 </div>
 </div>
 </section>
@@ -823,7 +823,7 @@ <h2>Using functions inside verbs</h2>
 <section id="morning-vs-afternoon-with-namespacing" class="slide level2">
 <h2>Morning vs afternoon with namespacing</h2>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb37" data-code-line-numbers="2"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1"></a>nyc_taxi <span class="sc">|&gt;</span></span>
+<div class="sourceCode cell-code" id="cb37" data-code-line-numbers="3"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb37-1"><a href="#cb37-1"></a>nyc_taxi <span class="sc">|&gt;</span></span>
 <span id="cb37-2"><a href="#cb37-2"></a>  <span class="fu">group_by</span>(</span>
 <span id="cb37-3"><a href="#cb37-3"></a>    <span class="at">time_of_day =</span> <span class="fu">ifelse</span>(lubridate<span class="sc">::</span><span class="fu">am</span>(pickup_datetime), <span class="st">"morning"</span>, <span class="st">"afternoon"</span>)</span>
 <span id="cb37-4"><a href="#cb37-4"></a>  ) <span class="sc">|&gt;</span></span>
@@ -842,7 +842,7 @@ <h2>Morning vs afternoon with namespacing</h2>
 <section id="morning-vs-afternoon---without-namespacing" class="slide level2">
 <h2>Morning vs afternoon - without namespacing</h2>
 <div class="cell">
-<div class="sourceCode cell-code" id="cb39" data-code-line-numbers="4"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb39-1"><a href="#cb39-1"></a><span class="fu">library</span>(lubridate)</span>
+<div class="sourceCode cell-code" id="cb39" data-code-line-numbers="5"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb39-1"><a href="#cb39-1"></a><span class="fu">library</span>(lubridate)</span>
 <span id="cb39-2"><a href="#cb39-2"></a></span>
 <span id="cb39-3"><a href="#cb39-3"></a>nyc_taxi <span class="sc">|&gt;</span></span>
 <span id="cb39-4"><a href="#cb39-4"></a>  <span class="fu">group_by</span>(</span>
@@ -891,12 +891,12 @@ <h2>Option 1 - find a workaround!</h2>
 <pre><code># A tibble: 6 × 24
   vendor_name pickup_datetime     dropoff_datetime    passenger_count
   &lt;chr&gt;       &lt;dttm&gt;              &lt;dttm&gt;                        &lt;int&gt;
-1 &lt;NA&gt;        2012-01-20 14:09:36 2012-01-20 14:42:25               1
-2 &lt;NA&gt;        2012-01-20 14:54:10 2012-01-20 15:06:55               1
-3 &lt;NA&gt;        2012-01-20 08:08:01 2012-01-20 08:11:02               1
-4 &lt;NA&gt;        2012-01-20 08:36:22 2012-01-20 08:39:44               1
-5 &lt;NA&gt;        2012-01-20 20:58:32 2012-01-20 21:03:04               1
-6 &lt;NA&gt;        2012-01-20 19:40:20 2012-01-20 19:43:43               2
+1 &lt;NA&gt;        2012-01-20 08:09:36 2012-01-20 08:42:25               1
+2 &lt;NA&gt;        2012-01-20 08:54:10 2012-01-20 09:06:55               1
+3 &lt;NA&gt;        2012-01-20 02:08:01 2012-01-20 02:11:02               1
+4 &lt;NA&gt;        2012-01-20 02:36:22 2012-01-20 02:39:44               1
+5 &lt;NA&gt;        2012-01-20 14:58:32 2012-01-20 15:03:04               1
+6 &lt;NA&gt;        2012-01-20 13:40:20 2012-01-20 13:43:43               2
 # ℹ 20 more variables: trip_distance &lt;dbl&gt;, pickup_longitude &lt;dbl&gt;,
 #   pickup_latitude &lt;dbl&gt;, rate_code &lt;chr&gt;, store_and_fwd &lt;chr&gt;,
 #   dropoff_longitude &lt;dbl&gt;, dropoff_latitude &lt;dbl&gt;, payment_type &lt;chr&gt;,

diff --git a/search.json b/search.json
@@ -802,14 +802,14 @@
     "href": "materials/2_data_manipulation_1.html#a-different-function",
     "title": "Big Data in R with Arrow",
     "section": "A different function",
-    "text": "A different function\n\nlong_rides_2021 |&gt;\n  slice_max(n = 3, order_by = trip_distance, with_ties = FALSE) |&gt;\n  collect()\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;\n1 2021-11-16 12:55:00  2021       351613.\n2 2021-10-27 17:46:00  2021       345124.\n3 2021-12-11 10:48:00  2021       335094."
+    "text": "A different function\n\nlong_rides_2021 |&gt;\n  slice_max(n = 3, order_by = trip_distance, with_ties = FALSE) |&gt;\n  collect()\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;\n1 2021-11-16 06:55:00  2021       351613.\n2 2021-10-27 11:46:00  2021       345124.\n3 2021-12-11 04:48:00  2021       335094."
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     "href": "materials/2_data_manipulation_1.html#or-call-collect-first",
     "title": "Big Data in R with Arrow",
     "section": "Or call collect() first",
-    "text": "Or call collect() first\n\nlong_rides_2021 |&gt;\n  collect() |&gt;\n  slice(1:3)\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;\n1 2021-10-03 16:45:02  2021          134 \n2 2021-10-03 17:29:35  2021          218.\n3 2021-10-03 17:58:15  2021          225."
+    "text": "Or call collect() first\n\nlong_rides_2021 |&gt;\n  collect() |&gt;\n  slice(1:3)\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  &lt;dttm&gt;              &lt;int&gt;         &lt;dbl&gt;\n1 2021-01-03 03:01:26  2021          216.\n2 2021-01-03 05:36:52  2021          268.\n3 2021-01-06 01:27:55  2021          271."
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@@ -872,7 +872,7 @@
     "href": "materials/2_data_manipulation_1.html#option-1---find-a-workaround",
     "title": "Big Data in R with Arrow",
     "section": "Option 1 - find a workaround!",
-    "text": "Option 1 - find a workaround!\n\nnyc_taxi |&gt;\n  mutate(vendor_name = ifelse(vendor_name == \"CMT\", NA, vendor_name)) |&gt;\n  head() |&gt;\n  collect()\n\n# A tibble: 6 × 24\n  vendor_name pickup_datetime     dropoff_datetime    passenger_count\n  &lt;chr&gt;       &lt;dttm&gt;              &lt;dttm&gt;                        &lt;int&gt;\n1 &lt;NA&gt;        2012-01-20 14:09:36 2012-01-20 14:42:25               1\n2 &lt;NA&gt;        2012-01-20 14:54:10 2012-01-20 15:06:55               1\n3 &lt;NA&gt;        2012-01-20 08:08:01 2012-01-20 08:11:02               1\n4 &lt;NA&gt;        2012-01-20 08:36:22 2012-01-20 08:39:44               1\n5 &lt;NA&gt;        2012-01-20 20:58:32 2012-01-20 21:03:04               1\n6 &lt;NA&gt;        2012-01-20 19:40:20 2012-01-20 19:43:43               2\n# ℹ 20 more variables: trip_distance &lt;dbl&gt;, pickup_longitude &lt;dbl&gt;,\n#   pickup_latitude &lt;dbl&gt;, rate_code &lt;chr&gt;, store_and_fwd &lt;chr&gt;,\n#   dropoff_longitude &lt;dbl&gt;, dropoff_latitude &lt;dbl&gt;, payment_type &lt;chr&gt;,\n#   fare_amount &lt;dbl&gt;, extra &lt;dbl&gt;, mta_tax &lt;dbl&gt;, tip_amount &lt;dbl&gt;,\n#   tolls_amount &lt;dbl&gt;, total_amount &lt;dbl&gt;, improvement_surcharge &lt;dbl&gt;,\n#   congestion_surcharge &lt;dbl&gt;, pickup_location_id &lt;int&gt;,\n#   dropoff_location_id &lt;int&gt;, year &lt;int&gt;, month &lt;int&gt;"
+    "text": "Option 1 - find a workaround!\n\nnyc_taxi |&gt;\n  mutate(vendor_name = ifelse(vendor_name == \"CMT\", NA, vendor_name)) |&gt;\n  head() |&gt;\n  collect()\n\n# A tibble: 6 × 24\n  vendor_name pickup_datetime     dropoff_datetime    passenger_count\n  &lt;chr&gt;       &lt;dttm&gt;              &lt;dttm&gt;                        &lt;int&gt;\n1 &lt;NA&gt;        2012-01-20 08:09:36 2012-01-20 08:42:25               1\n2 &lt;NA&gt;        2012-01-20 08:54:10 2012-01-20 09:06:55               1\n3 &lt;NA&gt;        2012-01-20 02:08:01 2012-01-20 02:11:02               1\n4 &lt;NA&gt;        2012-01-20 02:36:22 2012-01-20 02:39:44               1\n5 &lt;NA&gt;        2012-01-20 14:58:32 2012-01-20 15:03:04               1\n6 &lt;NA&gt;        2012-01-20 13:40:20 2012-01-20 13:43:43               2\n# ℹ 20 more variables: trip_distance &lt;dbl&gt;, pickup_longitude &lt;dbl&gt;,\n#   pickup_latitude &lt;dbl&gt;, rate_code &lt;chr&gt;, store_and_fwd &lt;chr&gt;,\n#   dropoff_longitude &lt;dbl&gt;, dropoff_latitude &lt;dbl&gt;, payment_type &lt;chr&gt;,\n#   fare_amount &lt;dbl&gt;, extra &lt;dbl&gt;, mta_tax &lt;dbl&gt;, tip_amount &lt;dbl&gt;,\n#   tolls_amount &lt;dbl&gt;, total_amount &lt;dbl&gt;, improvement_surcharge &lt;dbl&gt;,\n#   congestion_surcharge &lt;dbl&gt;, pickup_location_id &lt;int&gt;,\n#   dropoff_location_id &lt;int&gt;, year &lt;int&gt;, month &lt;int&gt;"
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