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2 cards from this section. Quick, good the night before a test.
What is a row in a dataset?
Think of a row as an individual entry.
What do we call the attributes of a dataset?
Consider how you label the features in a table.
What do we call the number of records in a dataset?
Think of how data is organized in a table.
True or False: Unique values can help identify anomalies in a dataset.
Consider how discrepancies appear in data entries.
Given a dataset with thousands of records, describe how you would approach understanding its structure and preparing it for further analysis.
Consider how each step leads to better data manipulation.
You have a dataset with mixed types in a column meant for integers. Discuss ways to clean this data before analysis.
Think about data consistency and the importance of data type integrity.
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