What are some real-world examples of data debugging?

What are some real-world examples of data debugging?

Data debugging involves identifying and fixing errors in datasets. For example, in a healthcare dataset, a common issue might be missing values for patient ages. Debugging would involve either filling in those values or removing the incomplete records.

Can you give me another example?

Sure! In a financial dataset, you might find discrepancies in transaction amounts due to data entry errors. Debugging would require cross-referencing with original receipts or bank statements to correct those amounts.

What tools can I use for data debugging?

There are several tools available for data debugging, such as Python libraries like Pandas for data manipulation, and SQL for querying databases. Additionally, data visualization tools like Tableau can help identify anomalies in the data.

How do I know if my data is clean?

You can assess data cleanliness by checking for missing values, duplicates, and outliers. Running descriptive statistics and visualizations can also help you understand the data distribution and identify potential issues.