What is a good response to the following post made by a classmate? The Data Wrangling process is time consuming for a beginner. However, I can see how it is necessary to clean up raw data to make it easier to interpret. Especially when there is a vast amount of data. This exercise does highlight why data wrangling and preparation can take up to 60-70% of the total data analysis process. Getting the data configured into a format that can easily be transitioned to a pivot table is not a simple or quick fix. Once it is easier to interpret or in a pivot table format, the analysis process is much for efficient. The data that may limit value for analysis would be the empty data cells. This includes the modifiers and modifiers revenue. In addition to this, is the item fee column which is all zero values. I learned how to merge data from one workbook to another using the VLookup formula. There is value in deleting data that is not useful to what we are attempting to analyze, such as deleting 2018's sales information. I also think that Pivot Tables are a form of metadata, whereas, it is