You are tasked with improving the data quality and observability of a dataset containing customer

orders for an e$-$commerce website. The dataset contains $1,000$ records, and you've identified several data

quality issues:

$$ Duplicate Orders: There are $50$ duplicate orders in the dataset.

$$ Missing Values: In the "Shipping Address" field, $100$ records have missing or incomplete addresses

$$ Inconsistent Date Formats: The "Order Date" field contains dates in both $"$MM$/$DD$/$YYYY$"$ and

$"$YYYY$-$MM$-$DD$"$ formats. There are $30$ records with inconsistent date formats.

$$ Outliers in Order Amount: There are $10$ orders with an unusually high order amount that seems like

outliers.

a$)$ Explain why data quality and observability are essential in this context.

b$)$ Design and compute four data quality metrics based on the given data.

c$)$ Propose a step$-$by$-$step plan to address these data quality issues and enhance data observability.