How can we calculate descriptive statistics (mean, median, quartiles, etc.) and generate charts (Histogram, Scatterplot, Boxplots, etc.) using T-SQL and Python for a large volume of quantitative data stored in a SQL Server table?
Consider a use case where we want to calculate basic descriptive statistics of numerical fields with minimal code and complexity. We’ll pass our data to Python for these calculations and fetch the results back into T-SQL. The FactInternetSales table contains over 60k sales records. With a single line of Python code, we can compute all these statistics, as shown in the example below. Let’s explore what this example does and how data is exchanged between Python and T-SQL.