MLS-C01 · Question #333
MLS-C01 Question #333: Real Exam Question with Answer & Explanation
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Question
A data scientist is building a forecasting model for a retail company by using the most recent 5 years of sales records that are stored in a data warehouse. The dataset contains sales records for each of the company's stores across five commercial regions. The data scientist creates a working dataset with StoreID. Region. Date, and Sales Amount as columns. The data scientist wants to analyze yearly average sales for each region. The scientist also wants to compare how each region performed compared to average sales across all commercial regions. Which visualization will help the data scientist better understand the data trend?
Options
- ACreate an aggregated dataset by using the Pandas GroupBy function to get average sales for
- BCreate an aggregated dataset by using the Pandas GroupBy function to get average sales for
- CCreate an aggregated dataset by using the Pandas GroupBy function to get average sales for
- DCreate an aggregated dataset by using the Pandas GroupBy function to get average sales for
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