Average answers by question

The table you created in the last exercise has been preloaded for you as tagged_answers. You can use this table to determine, on average, how many answers each questions gets.

tagged_answers <- question_answer_counts %>%
    inner_join(question_tags, by = c("id" = "question_id")) %>%
    inner_join(tags, by = c("tag_id" = "id"))

Some of the important variables from this table include: n, the number of answers for each question, and tag_name, the name of each tag associated with each question.

Let's use some of our favorite dplyr verbs to find out how many answers each question gets on average.

This exercise is part of the course

Joining Data with dplyr

View Course

Exercise instructions

Aggregate the tagged_answers table by tag_name.
Summarize tagged_answers to get the count of questions and the average_answers.
Sort the resulting questions column in descending order.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

tagged_answers %>%
  # Aggregate by tag_name
  ___  %>%
  # Summarize questions and average_answers
  summarize(questions = ___,
            average_answers = ___) %>%
  # Sort the questions in descending order
  ___

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