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 |