I have a dataframe like below (the real data has many more people and club): Year Player Club 2005 Phelan Chicago Fire 2007 Phelan Boston Pant 2
Here are two datasets: (this is fake data) library(tidyverse) myfruit <- tibble(fruit_name = c("apple", "pear", "banana", "cherry"), number
I just need to write some code that will look at the difference between the "est_age" and "known_age" columns in my data set. Then I need to know what percenta
I have a data frame that some rows that need to be further grouped by some of the overlapped values among rows col1, col2 a1, 2;3 a2, 2 a3, 3;4 a4, 4 a
I have seen similar posts on this topic (see, for example, here and here) but not one that is specific to the sf-tidyverse ecosystem. I have a series of lakes,
I know this is a duplicate Q but I can't seem to find the post again Using the following data df <- data.frame(A=c(1,1,2,2),B=c(NA,2,NA,4),C=c(3,NA,NA,5),D