Abstract:
"Auto visualization creating system which work with column header names to identify
columns through a classification model. Word Embeddings of columns names obtained
through clip-multilingual model & classification model fitted using the manually created
standard column categories. After trialing out multiple classification models, best
accuracy was given by a Cat-Boost classifier. A system was created using python to
populate a standard excel file when any type of new retail sales dataset is given. This is
connected to a Power Bi visualization which created focusing on the retail sales KPIs."