differences for PR #539

datacarpentry · Nov 29, 2024 · cdb8964 · cdb8964
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diff --git a/.Rhistory b/.Rhistory
diff --git a/.here b/.here
diff --git a/03-dplyr.md b/03-dplyr.md
@@ -167,6 +167,10 @@ filter(interviews, village == "Chirodzo")
 #   instanceID <chr>
 ```
 
+You may also have noticed that the output from these call doesn't run off the
+screen anymore. It's one of the advantages of `tbl_df` (also called tibble), 
+the central data class in the tidyverse, compared to normal dataframes in R.
+
 We can also specify multiple conditions within the `filter()` function. We can
 combine conditions using either "and" or "or" statements. In an "and"
 statement, an observation (row) must meet **every** criteria to be included
@@ -555,9 +559,6 @@ interviews %>%
 3 Ruaca              7.57
 ```
 
-You may also have noticed that the output from these calls doesn't run off the
-screen anymore. It's one of the advantages of `tbl_df` over dataframe.
-
 You can also group by multiple columns:
 
 
@@ -588,7 +589,9 @@ interviews %>%
 9 Ruaca    <NA>                 6.22
 ```
 
-Note that the output is a grouped tibble. To obtain an ungrouped tibble, use the
+Note that the output is a grouped tibble of nine rows by three columns 
+which is indicated by the by two first lines with the `#`.
+To obtain an ungrouped tibble, use the
 `ungroup` function:
 
 
@@ -619,6 +622,8 @@ interviews %>%
 9 Ruaca    <NA>                 6.22
 ```
 
+Notice that the second line with the `#` that previously indicated the grouping has 
+disappeared and we now only have a 9x3-tibble without grouping.
 When grouping both by `village` and `membr_assoc`, we see rows in our table for
 respondents who did not specify whether they were a member of an irrigation
 association. We can exclude those data from our table using a filter step.

diff --git a/md5sum.txt b/md5sum.txt
@@ -6,7 +6,7 @@
 "episodes/00-intro.Rmd" "55b4f07dc0323cb819256954954ec242" "site/built/00-intro.md" "2024-11-19"
 "episodes/01-intro-to-r.Rmd" "e6038b5b8156ba5036aa08878d24c370" "site/built/01-intro-to-r.md" "2024-11-19"
 "episodes/02-starting-with-data.Rmd" "6217dcc0ad4be665633300c51665f35c" "site/built/02-starting-with-data.md" "2024-11-19"
-"episodes/03-dplyr.Rmd" "9d624d21108a73be97259938d97f3458" "site/built/03-dplyr.md" "2024-11-19"
+"episodes/03-dplyr.Rmd" "4780930e7533e5ae34ec0520f462cd38" "site/built/03-dplyr.md" "2024-11-29"
 "episodes/04-tidyr.Rmd" "ac03030af6b9247b199c9bc29f2916a2" "site/built/04-tidyr.md" "2024-11-19"
 "episodes/05-ggplot2.Rmd" "03ae0a2f69b9b9eb7822c1b33462bd3c" "site/built/05-ggplot2.md" "2024-11-19"
 "episodes/06-rmarkdown.Rmd" "0d414fd9c037f1a3a78b1cae5e2708b6" "site/built/06-rmarkdown.md" "2024-11-19"