Corruption Perception Index Using Data Visualization Techniques

dc.contributor.author	Syed Muhammad Hassan Rizvi, 01-134191-029
dc.contributor.author	Muhammad Abdullah, 01-134191-049
dc.date.accessioned	2023-03-02T10:53:24Z
dc.date.available	2023-03-02T10:53:24Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/123456789/15047
dc.description	Supervised by Mr. Faisal Asad ur Rehman	en_US
dc.description.abstract	The system will rank countries according to their perceived levels of corruption using data visualization techniques such as graphs and patterns. The proposed system does not provide a solution regarding how to handle corruption in different public sectors that are administrative and political sectors, rather it provides a measure through perceptions of public sector levels corruption according to the score on a scale from 0 to 10 or 0 to 100, where 0 stands for highly corrupt and 10 or 100 stands for very clean country.	en_US
dc.language.iso	en	en_US
dc.publisher	Computer Sciences	en_US
dc.relation.ispartofseries	BS (CS);P-1804
dc.subject	Rank Countries	en_US
dc.subject	Political Sectors	en_US
dc.title	Corruption Perception Index Using Data Visualization Techniques	en_US
dc.type	Project Reports	en_US