Here's an example of joining two data tables in R. This is incredibly useful and similar to a "left join" in sql.
# Load the data.table library
library(data.table)
# Create a People data.table
people <- data.table(id = c(1, 2, 3, 4, 5), name = c("Randy", "Will", "Ben", "Katie", "Amy"))
# Create a Visits data.table
visits <- data.table(id = c(1, 2, 2, 4, 4, 5, 5, 5), visit_date = c("2023-01-01", "2023-01-01", "2023-02-01",
"2023-02-03", "2023-02-06", "2023-02_10",
"2023_02-11", "2023-02-12"))
print(people)
id name
1: 1 Randy
2: 2 Will
3: 3 Ben
4: 4 Katie
5: 5 Amy
print(visits)
id visit_date
1: 1 2023-01-01
2: 2 2023-01-01
3: 2 2023-02-01
4: 4 2023-02-03
5: 4 2023-02-06
6: 5 2023-02_10
7: 5 2023_02-11
8: 5 2023-02-12
## Show the visits, with person name from People table
data <- visits[people, on = "id", nomatch = 0L]
> print(data)
id visit_date name
1: 1 2023-01-01 Randy
2: 2 2023-01-01 Will
3: 2 2023-02-01 Will
4: 4 2023-02-03 Katie
5: 4 2023-02-06 Katie
6: 5 2023-02_10 Amy
7: 5 2023_02-11 Amy
8: 5 2023-02-12 Amy
If you want to keep all of the records in your main table, even if they don't exist in your other table, you can omit the nomatch = 0L
If you have a SQL background, this would be similar to a left outer join. Keep in mind, however, that the "Left" table is actually on the right in this statement