How many rows does torg have now?
@@ -216,23 +217,23 @@Which island?
Make it a Date
--
+
Use mutate( ) to convert the date column to a Date object in each of the data sets.
biscoe <- biscoe %>% @@ -245,7 +246,7 @@Make it a Date
biscoe <- biscoe %>%
mutate(date = mdy(date))
@@ -306,23 +307,23 @@ More data exploartion
Both data frames have an island column and a date column, but with different names. What operation do we want to use? Which join type is most appropriate here? Remember that when combining data frames, column names are important and are case-sensitive. We want the resulting data frame to have the same number of rows as the penguins_raw data frame.
Table join
-
+
-
+
Use a ****_join( ) function to combine the columns of the two data sets so the result has the same number of rows as penguins_raw.
-
+
penguin_temps <- left_join(penguins_raw, temps,
by = c("Island" = "_______" ,
@@ -332,7 +333,7 @@ Table join
-
+
penguin_temps <- left_join(penguins_raw, temps,
by = c("Island" = "island",
@@ -373,23 +374,23 @@ Plots
Isotope plots
-
+
-
+
Make 2 plots. One comparing temperature to Delta 15 N, and one comparing temperature to Delta 13 C. Assign the data from each island to its own color.
-
+
# Delta 15 plot
ggplot(penguin_temps,
@@ -402,7 +403,7 @@ Isotope plots
-
+
# Delta 15 plot
ggplot(penguin_temps,
diff --git a/public/page/exercise/day5/05-2-date-mischief-and-data-joins.html b/public/page/exercise/day5/05-2-date-mischief-and-data-joins.html
index e42a687..fa0746c 100644
--- a/public/page/exercise/day5/05-2-date-mischief-and-data-joins.html
+++ b/public/page/exercise/day5/05-2-date-mischief-and-data-joins.html
@@ -63,7 +63,7 @@
"headline": "Date mischief",
"description" : "Getting started Create a new R script. Save it as soon as you make it and give it a good name like 5-2_exercise.",
"inLanguage" : "en",
- "wordCount": 1424 ,
+ "wordCount": 1423 ,
"datePublished" : "0001-01-01T00:00:00",
"dateModified" : "0001-01-01T00:00:00",
"image" : "https:\/\/tidy-mn.github.io\/R-camp-penguins\/images\/penguins_circle1.png",
@@ -399,7 +399,8 @@ Step 1
Icky…It looks like there are duplicate rows in the data. That seems to happen a lot. Since the temp value always appears to be the same for the duplicate row, I think it is safe to say the duplicate should be removed.
-If you are 100% sure your data should not have duplicate rows in it, you can use the function distinct( ) to keep only one row from each of the groups of duplicates. In the end, every row will be a distinct and unique row compared to ALL the others in the table.
+
+If you are 100% sure your data should not have duplicate rows in it, you can use the function distinct( ) to keep only one row from each of the groups of duplicates. In the end, every row will be a distinct and unique row compared to ALL others in the table.
How many rows does torg have now?
@@ -488,23 +489,23 @@ Which island?
Make it a Date
-
+
-
+
Use mutate( ) to convert the date column to a Date object in each of the data sets.
-
+
biscoe <- biscoe %>%
@@ -517,7 +518,7 @@ Make it a Date
-
+
biscoe <- biscoe %>%
mutate(date = mdy(date))
@@ -578,23 +579,23 @@ More data exploartion
Both data frames have an island column and a date column, but with different names. What operation do we want to use? Which join type is most appropriate here? Remember that when combining data frames, column names are important and are case-sensitive. We want the resulting data frame to have the same number of rows as the penguins_raw data frame.
Table join
-
+
-
+
Use a ****_join( ) function to combine the columns of the two data sets so the result has the same number of rows as penguins_raw.
-
+
penguin_temps <- left_join(penguins_raw, temps,
by = c("Island" = "_______" ,
@@ -604,7 +605,7 @@ Table join
-
+
penguin_temps <- left_join(penguins_raw, temps,
by = c("Island" = "island",
@@ -645,23 +646,23 @@ Plots
Isotope plots
-