Manufacturing
For electronic component manufacturing company, we did an elaborative data-driven EDA (Exploratory data analysis). The dataset was about the various defects in the products across each shit across each product. They were utilizing various methods to mitigate the defects. So the goal was to identify the defect distribution across each product across each operator and to answer various questions such as which method is best for reducing the defect. Which product get which type of defect? Which shift has effective working in terms of revenue generation for the company? What methods are efficient in reducing which defect? And many more business-related questions. We created a satisfactory EDA on the data set and answered all the logical questions in terms of visualization that are easy to understand and make decisions. We dashboard the result in a very interactive manner using plotly dash and google charts.
