I'm trying to isolate my dataset by rows and, due to multiple people working on this data set one group of data has tow names those being chem and, chemistry, It could be that I'm miss using tidyverse but what I'm trying to do is isolate only the rows that are labeled chem and chemistry.
When I run this code the resultant data is blank.
My code is shown below, any help would be appreciated!
# remove all columns with irrelevant data. # remove everything except discipline, class date, and codes. data <- subset(data, !is.na(data$instructor)) data_subject_code <- data[,c(7,9,14:30)] # Isolate data from chemistry discipline data_chemistry_code <- data_subject_code %>% filter(course_subject_code=="chem", course_subject_code=="chemistry")