You are tasked with performing exploratory data analysis on a table named containing daily sales transactions. The table includes columns like 'transaction_date', 'product_id', 'quantity' , and 'price'. Your goal is to identify potential data quality issues and understand the distribution of sales. Which of the following SQL queries using Snowflake's statistical functions and features would be MOST effective for quickly identifying outliers in the 'quantity' column, potential data skewness, and missing values?

Correct Answer: B,C
Options B and C are the most effective. Option B provides the total record count, the count of non-null quantity values (helping identify missing data), an approximate median, and the approximate distinct count of product IDs. This gives a good overview of data completeness and product diversity. Option C provides the min, max, variance and skew which together help identify possible outliers and understand the data distribution.