The raw data is collected from a weaving industry of Bangladesh and then preprocessed to get final dataset. The prepared dataset can be used in machine learning, data science and statistical analysis. Here, the dependents variables may be the rejection or production depending on the intend of use.
Steps to reproduce
The daily production data from a weaving factory from January to September was collected. Then the data set was preprocessed to have the clean dataset. The preprocessing involves merging daily and monthly data, cleaning, filling the missing values, and feature engineering.