Using a switch statement to create a new column for categorizing Net Promoter Score (NPS) feedback is an effective method because it allows for clear classification of respondents into distinct groups based on their NPS ratings. NPS typically classifies respondents into promoters, passives, and detractors based on their scores from 0 to 10. By implementing a switch statement, you can systematically assign each score to its corresponding category. This categorization not only simplifies data analysis but also enhances reporting, as it lets stakeholders quickly identify sentiment trends among customers.
In contrast, calculating the average NPS provides an overview of overall customer sentiment but does not categorize individual responses. A measure simply reflects a single numeric value rather than splitting responses into actionable segments.
Utilizing a standard deviation formula may offer insights into the variability of the responses, yet it does not categorize the feedback—it rather describes the spread of the data points around the mean.
Implementing a pie chart can visually represent the distribution of the NPS categories once they are defined, but it does not help in the initial categorization process. A visual representation is beneficial for communicating results but does not serve as a method for sorting or classifying the raw feedback itself. Therefore, creating a new column with a