Download a copy of the
Portal Teaching Database surveys table
and load it into R using read.csv().
Use pipes (%>%) to combine the following operations to manipulate the data.
mutate(), select(), and na.omit() to create a new data frame with
the year, species_id, and weight in kilograms of each individual,
with no null weights.filter() and select() to get the year, month, day, and
species_id columns for all of the rows in the data frame where species_id
is SH.group_by() and summarize() functions to get a count of the number
of individuals in each species ID.group_by() and summarize() functions to get a count of the number
of individuals in each species ID in each year.filter(), group_by(), and summarize() functions to get the mean
mass of species DO in each year.