Explanation:
Option B is correct because aggregation (combining data), filtration (removing unwanted data), and conversion (changing data formats) are all core components of data wrangling. These transformations prepare raw data for analysis by making it more structured and usable.
Option A is incorrect because data collection focuses on gathering data from various sources, not transforming it.
Option C is incorrect because data exploration involves analyzing and visualizing data to understand patterns and relationships, which typically happens after data wrangling is complete.
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Aggregation, filtration, and conversion are common transformations carried out as part of:
A
data collection.
B
data wrangling.
C
data exploration.