Recently, cell phone usage has increased incrementally to huge numbers. Statistics show that a total number of mobile phone users worldwide, from 2013 to 2019, is about 60 percent of the Earth's population. This reflects that the use of cell phones is the traditional way of communicating for most of the people in the world. Making calls and sending text messages are the main methods of communication used with cell phones. The purpose of this work is to present "CLogVis," a crime data analysis and visualization system that helps police departments and security agencies connect criminals and suspects by using their cell phone data. Cell phones contain a huge amount of information that helps agencies and police departments in various ways find relationships and connections between criminals. Moreover, information in cell phones will expand in an incremental way when the suspect uses the Internet through their cell phone. In our system, we will be looking to build relationships and connecttions between criminals by using phonebooks and call history (inbound and outbound) to find the relationships between suspects. Regarding the nature of crime organizations, which are built on networks, graph techniques are used to build connections throughout datasets gathered from arrested suspects, criminals, and Telecommunications Service Provider (TSP) log files.