如何根据R中的2列选择数据框的一行

Question

I currently have the following problem.

I have a data frame of 150.000 rows and 4 columns, I need to filter by Profile ID (per day) and keep the last transaction that the user made (Profile ID), here is an example:

In the following image, the user ID "aToPCmXnXnOCgoGqEOVxY5pEnNM0h1" made two transactions, however, the last one he made (based on the Date column) is row 3656.

What is the best way to select that row?

Initially, I thought about performing a double loop with an If inside, but it is very inefficient and time-consuming to perform this task.

Answer 1

Try this

library(dplyr)

df |> group_by(Profile.ID) |> summarise(Purchase = tail(Purchase , 1))
|> left_join(df)