| dc.contributor.author | Fernando, Srinal Manodha | |
| dc.date.accessioned | 2025-07-02T05:16:57Z | |
| dc.date.available | 2025-07-02T05:16:57Z | |
| dc.date.issued | 2024 | |
| dc.identifier.citation | Fernando, Srinal Manodha (2024) AUTO VISUALIZATION ENGINE - State of art system to convert retail sales data in any excel table format into standard visualization. MSc. Dissertation, Informatics Institute of Technology | en_US |
| dc.identifier.issn | 20221181 | |
| dc.identifier.uri | http://dlib.iit.ac.lk/xmlui/handle/123456789/2854 | |
| dc.description.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." | en_US |
| dc.language.iso | en | en_US |
| dc.subject | Auto visualization | en_US |
| dc.subject | Classification models | en_US |
| dc.subject | Python | en_US |
| dc.subject | Power Bi | en_US |
| dc.title | AUTO VISUALIZATION ENGINE - State of art system to convert retail sales data in any excel table format into standard visualization | en_US |
| dc.type | Thesis | en_US |