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What is Box Plot, Apriori Algorithm & Data Normalization about?

The document discusses three main questions related to data analysis: creating a box plot to identify outliers using quartiles, applying the Apriori Algorithm in Python to find item relationships in transactions, and normalizing employee experience data using Min-Max and Z-Score methods. The box plot analysis involves calculating the first and third quartiles and identifying outliers based on the interquartile range. The Apriori Algorithm reveals that items A5 and A7 are frequently bought together, while no

Author

laibaehsanellahi

Language

EN