From 3a129dd1545c9a76ba7f787c2c676b17e79f0cb4 Mon Sep 17 00:00:00 2001 From: Quarto GHA Workflow Runner Date: Sun, 17 Sep 2023 10:16:07 +0000 Subject: [PATCH] Built site for gh-pages --- .nojekyll | 2 +- materials/2_data_manipulation_1.html | 28 +++++++++++------------ search.json | 6 ++--- sitemap.xml | 34 ++++++++++++++-------------- 4 files changed, 35 insertions(+), 35 deletions(-) diff --git a/.nojekyll b/.nojekyll index 435f0b8..a9587c4 100644 --- a/.nojekyll +++ b/.nojekyll @@ -1 +1 @@ -173bb1d7 \ No newline at end of file +bf3476e4 \ No newline at end of file diff --git a/materials/2_data_manipulation_1.html b/materials/2_data_manipulation_1.html index 24ea953..1e8ae60 100644 --- a/materials/2_data_manipulation_1.html +++ b/materials/2_data_manipulation_1.html @@ -732,9 +732,9 @@

A different function

# A tibble: 3 × 3
   pickup_datetime      year trip_distance
   <dttm>              <int>         <dbl>
-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.
+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. @@ -748,9 +748,9 @@

Or call collect() first

# A tibble: 3 × 3
   pickup_datetime      year trip_distance
   <dttm>              <int>         <dbl>
-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.
+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. @@ -823,7 +823,7 @@

Using functions inside verbs

Morning vs afternoon with namespacing

-
nyc_taxi |>
+
nyc_taxi |>
   group_by(
     time_of_day = ifelse(lubridate::am(pickup_datetime), "morning", "afternoon")
   ) |>
@@ -842,7 +842,7 @@ 
Morning vs afternoon with namespacing

 

 
Morning vs afternoon - without namespacing

 

-
library(lubridate)
+
library(lubridate)
 
 nyc_taxi |>
   group_by(
@@ -891,12 +891,12 @@ 
Option 1 - find a workaround!

 
# A tibble: 6 × 24
   vendor_name pickup_datetime     dropoff_datetime    passenger_count
   <chr>       <dttm>              <dttm>                        <int>
-1 <NA>        2012-01-20 14:09:36 2012-01-20 14:42:25               1
-2 <NA>        2012-01-20 14:54:10 2012-01-20 15:06:55               1
-3 <NA>        2012-01-20 08:08:01 2012-01-20 08:11:02               1
-4 <NA>        2012-01-20 08:36:22 2012-01-20 08:39:44               1
-5 <NA>        2012-01-20 20:58:32 2012-01-20 21:03:04               1
-6 <NA>        2012-01-20 19:40:20 2012-01-20 19:43:43               2
+1 <NA>        2012-01-20 08:09:36 2012-01-20 08:42:25               1
+2 <NA>        2012-01-20 08:54:10 2012-01-20 09:06:55               1
+3 <NA>        2012-01-20 02:08:01 2012-01-20 02:11:02               1
+4 <NA>        2012-01-20 02:36:22 2012-01-20 02:39:44               1
+5 <NA>        2012-01-20 14:58:32 2012-01-20 15:03:04               1
+6 <NA>        2012-01-20 13:40:20 2012-01-20 13:43:43               2
 # ℹ 20 more variables: trip_distance <dbl>, pickup_longitude <dbl>,
 #   pickup_latitude <dbl>, rate_code <chr>, store_and_fwd <chr>,
 #   dropoff_longitude <dbl>, dropoff_latitude <dbl>, payment_type <chr>,
diff --git a/search.json b/search.json
index 2e6c74e..f26ed9e 100644
--- 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 |>\n  slice_max(n = 3, order_by = trip_distance, with_ties = FALSE) |>\n  collect()\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  <dttm>              <int>         <dbl>\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 |>\n  slice_max(n = 3, order_by = trip_distance, with_ties = FALSE) |>\n  collect()\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  <dttm>              <int>         <dbl>\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 |>\n  collect() |>\n  slice(1:3)\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  <dttm>              <int>         <dbl>\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 |>\n  collect() |>\n  slice(1:3)\n\n# A tibble: 3 × 3\n  pickup_datetime      year trip_distance\n  <dttm>              <int>         <dbl>\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 |>\n  mutate(vendor_name = ifelse(vendor_name == \"CMT\", NA, vendor_name)) |>\n  head() |>\n  collect()\n\n# A tibble: 6 × 24\n  vendor_name pickup_datetime     dropoff_datetime    passenger_count\n  <chr>       <dttm>              <dttm>                        <int>\n1 <NA>        2012-01-20 14:09:36 2012-01-20 14:42:25               1\n2 <NA>        2012-01-20 14:54:10 2012-01-20 15:06:55               1\n3 <NA>        2012-01-20 08:08:01 2012-01-20 08:11:02               1\n4 <NA>        2012-01-20 08:36:22 2012-01-20 08:39:44               1\n5 <NA>        2012-01-20 20:58:32 2012-01-20 21:03:04               1\n6 <NA>        2012-01-20 19:40:20 2012-01-20 19:43:43               2\n# ℹ 20 more variables: trip_distance <dbl>, pickup_longitude <dbl>,\n#   pickup_latitude <dbl>, rate_code <chr>, store_and_fwd <chr>,\n#   dropoff_longitude <dbl>, dropoff_latitude <dbl>, payment_type <chr>,\n#   fare_amount <dbl>, extra <dbl>, mta_tax <dbl>, tip_amount <dbl>,\n#   tolls_amount <dbl>, total_amount <dbl>, improvement_surcharge <dbl>,\n#   congestion_surcharge <dbl>, pickup_location_id <int>,\n#   dropoff_location_id <int>, year <int>, month <int>"
+    "text": "Option 1 - find a workaround!\n\nnyc_taxi |>\n  mutate(vendor_name = ifelse(vendor_name == \"CMT\", NA, vendor_name)) |>\n  head() |>\n  collect()\n\n# A tibble: 6 × 24\n  vendor_name pickup_datetime     dropoff_datetime    passenger_count\n  <chr>       <dttm>              <dttm>                        <int>\n1 <NA>        2012-01-20 08:09:36 2012-01-20 08:42:25               1\n2 <NA>        2012-01-20 08:54:10 2012-01-20 09:06:55               1\n3 <NA>        2012-01-20 02:08:01 2012-01-20 02:11:02               1\n4 <NA>        2012-01-20 02:36:22 2012-01-20 02:39:44               1\n5 <NA>        2012-01-20 14:58:32 2012-01-20 15:03:04               1\n6 <NA>        2012-01-20 13:40:20 2012-01-20 13:43:43               2\n# ℹ 20 more variables: trip_distance <dbl>, pickup_longitude <dbl>,\n#   pickup_latitude <dbl>, rate_code <chr>, store_and_fwd <chr>,\n#   dropoff_longitude <dbl>, dropoff_latitude <dbl>, payment_type <chr>,\n#   fare_amount <dbl>, extra <dbl>, mta_tax <dbl>, tip_amount <dbl>,\n#   tolls_amount <dbl>, total_amount <dbl>, improvement_surcharge <dbl>,\n#   congestion_surcharge <dbl>, pickup_location_id <int>,\n#   dropoff_location_id <int>, year <int>, month <int>"
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