

Overall, data wrangling covers the following processes:
Getting data from the various source into one place
Piecing the data together according to the determined setting
Cleaning the data from the noise or erroneous, missing elements
It should be noted that Data Wrangling is somewhat demanding and time-consuming operation both from computational capacities and human resources.
For example, you have an affiliate advertising network, and you need to gather performance statistics for the current stage of the marketing campaign;





