CSV is ideal for data analysis when you have tabular data that is not too complex or nested,
Supported by many software and prog languages
Stores data as "objects"
Can handle complex and nested data structures
-arrays, lists, and dictionaries
Work with data that is not easily represented in a table
Stores data as "elements, attributes, and text"
Can handle metadata, schemas, and namespaces
Ideal for data that is highly structured and hierarchical
Q: Now the question becomes how do we decide which format should we use based on the raw data that we have. Okay, perhaps, I need to learn first how to do a data analysis
