Data Preprocessing Vs. Data Wrangling

• Data Preprocessing is performed before Data Wrangling
• Data Preprocessing data is prepared exactly after receiving the data from the data source.
• In this initial transformations, Data Cleaning or any aggregation of data is performed. It is executed once.
• It is the concept that is performed before applying any iterative model and will be executed once in the project.

• Data Wrangling is performed during the iterative analysis and model building.
• This concept at the time of feature engineering.
• The conceptual view of the dataset changes as different models is applied to achieve good analytic model.