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4 cards from this section. Quick, good the night before a test.
What is data cleaning?
Think about preparing data for analysis.
Name one issue that can arise from noisy data.
Noise is something that distorts true readings.
What is the primary purpose of data cleaning?
Think about why we need to prepare data for analysis.
True or False: Noise can enhance the quality of data.
Consider what 'noise' typically means in data.
You are responsible for data quality in a IoT health monitoring system. Describe the potential issues that could arise from failing to clean data and how you would address them.
Consider the implications of inaccurate health data on patient outcomes.
Propose a data cleaning strategy for a smart city traffic management system that encounters data from various sources and formats.
Think about how various data sources can lead to complications in analysis.
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