|datacamp data manipulation with dplyr answers||0.97||1||4197||47|
We will use the dplyr package in R to effectively manipulate and conditionally compute summary statistics over subsets of a “big” dataset containing many observations. This lesson assumes a basic familiarity with R and data frames.How to get the first result from a group in dplyr?
Google search “dplyr first result within group.” You’ll need a filter (row_number ()......) in there somewhere. Hint: 5 pipes: filter, group_by, summarize, arrange, filter (row_number ().... Note: dplyr’s pipe syntax used to be %.% before it changed to %>%.What is the correct pipe syntax in dplyr?
Note: dplyr’s pipe syntax used to be %.% before it changed to %>%. So when looking around, you might still see some people use the old syntax.What is a ‘datapipelines’?
Pipelines. An evolution of ‘reshape2’. It’s designed specifically for data tidying (not general reshaping or aggregating) and works well with dplyr data pipelines.