A sales estimation dashboard is a coherent, visually immersive, and interactive insight of the electronic products sold globally over the last 4 years, developed using POWERBI to estimate the company performance and also to drive a valid conclusion for the future growth of the company.
In this Power Bi project, all the data has been compared using different shifts and the delayed time. Here the range of the upper bound is also analyzed where the maximum upper bound is predicted in the morning shift compared to mid-day and evening shift. The delay time in morning (A.M.) and Evening (P.M.) ranges have also been predicted.
Using python code and Machine Learning Pipeline Model to create an ETL model with Apache Spark.
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