Which of the following tools would be best to use to calculate the interquartile range, median, mean, and standard deviation of a column in a table that has 5,000,000 rows?

Microsoft Excel would struggle significantly with performance and memory handling for a dataset of 5,000,000 rows, making it impractical for these calculations.

R is a powerful programming language and environment specifically designed for statistical computing and graphics, making it highly efficient for calculating complex statistical measures like interquartile range, median, mean, and standard deviation on large datasets. Its extensive package ecosystem offers specialized functions for such tasks, often optimized for performance.

Snowflake is a cloud data warehouse optimized for querying and storing large datasets; while it can perform some aggregate functions, it is not primarily a statistical analysis tool like R.

SQL can perform basic aggregate functions like mean and standard deviation, and median with window functions, but calculating the interquartile range can be cumbersome, and SQL is not as specialized or efficient for a comprehensive suite of statistical analyses on large datasets compared to R.