👉 Wrangling is a process used in data collection and analysis where researchers or analysts attempt to manipulate, filter, and analyze large datasets in order to gain insights or conclusions. This can be done through various techniques such as using statistical software, machine learning algorithms, or other specialized tools.
In the context of data wrangling, it involves:
1.
Data Cleaning
: Ensuring that the data is free from errors and inconsistencies before analysis.
2.
Preprocessing
: Preparing the raw data for analysis
wrangling