Question

Question No. 23 Data munging is A process to do data archival A process to visualize data A process to copy data O A process to clean messy data​

Answer 1

Answer:

Sometimes confused with data wrangling, data munging is the initial process of refining raw data into content or formats better-suited for consumption by downstream systems and users.

The term ‘Mung’ was coined in the late 60s as a somewhat derogatory term for actions and transformations which progressively degrade a dataset, and quickly became tied to the backronym “Mash Until No Good” (or, recursively, “Mung Until No Good”).

But as the diversity, expertise, and specialization of data practitioners grew in the internet age, ‘munging’ and ‘wrangling’ became more useful generic terms, used analogously to ‘coding’ for software engineers.

With the rise of cloud computing and storage, and more sophisticated analytics, these terms evolved further, and today refer specifically to the initial collection, preparation, and refinement of raw data.