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Calculating means by category

A good way to explore categorical variables is to calculate summary statistics such as the mean for each category. Here, you'll look at grouped means for the house prices in the Taiwan real estate dataset.

taiwan_real_estate is available and dplyr is loaded.

Cet exercice fait partie du cours

Introduction to Regression in R

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Instructions

  • Group taiwan_real_estate by house_age_years.
  • Summarize to calculate the mean price_twd_msq for each group, naming the column mean_by_group.
  • Assign the result to summary_stats and look at the numbers.

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de code.

summary_stats <- taiwan_real_estate %>% 
  # Group by house age
  ___ %>% 
  # Summarize to calculate the mean house price/area
  ___(mean_by_group = ___)

# See the result
summary_stats
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