What is the difference between the complete() function and specialized functions like summarize() ?

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What is the main difference between the complete() function and some of the specialized functions like summarize() ?

Daniel Steinhold Asked question March 31, 2024
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The main difference between the complete() function and the summarize() function lies in their purpose and level of detail:

  • Complete Function:

    • Goal: Checks for missing values (often represented by NA or NULL) in a data set.
    • Output: Typically a logical value (TRUE or FALSE) indicating if there are any missing values in the entire data set or specific columns.
    • Focus: Provides a high-level overview of data completeness.
  • Summarize Function:

    • Goal: Creates a summary of the data set based on user-defined calculations.
    • Output: A new data frame with one row for each group (if used with group_by beforehand) containing summary statistics like mean, median, count, etc. for specified columns.
    • Focus: Offers a detailed look at various aspects of the data set.

Here's an analogy:

Imagine you have a library with books.

  • complete() is like checking if any books are missing from the shelves.
  • summarize() is like calculating the average number of pages per book, the number of books in each genre, or the most popular author.

In short, complete() gives a yes/no answer about missing data, while summarize() provides a rich analysis of the data's characteristics.

Daniel Steinhold Changed status to publish March 31, 2024
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