Question

A car company asked a data scientist to determine what type of customers are more likely to purchase their vehicles. However, the data comes from several sources and is in a relatively "raw format". What kind of processing can the data scientist perform on the data to prepare it for the Modeling stage?

Answer 1

In order for data to be useful, it must be prepared so that it can be analyzed and processed. Preparing data usually takes several steps:

• First the data scientist must edit the data: correct incomplete, inconsistent or ambiguous answers.
• Then the data scientist must assign codes to possible answers so that they can be processed statistically.
• Then the data must be transcribed so that it can be processed.
• It is always a good idea to remove all inconsistencies and extreme values before starting to statistically process the data.
• Finally, the data scientist must decide which data analysis strategy should he/she use based on the previous steps and the characteristics of the dta itself.