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@article{160275,
        author = {Ritik SR Jha and Sonam Ram},
        title = {Telecom Call Data Record Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {274-278},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160275},
        abstract = {Client needs to develop a POC ( Proof of Concept ) for one of its esteemed clients for Unified Call Data Record Analysis. The challenge is that the CDR ( Call Data Record ) is in raw format and does not have column names also present and it has 435 columns in total. Contains date and time information in a regular pattern like- "2019 06 20 03 27 17.906". contains some unwanted data. Information spread across multiple columns. We need to visualize the Analytics for Call data, Device data and Service data.
CDR Analysis and Insights is a real time call data records analysis project, in which earlier there was  the raw data  that had 16k+ Rows and 435 Columns and according to the requirement of the client, The CDR data is represented using a UI which contains three tabs, Call Analytics Tool , Device Analytics Tool and Service Analytics Tool which will give information about the calls, devices and services in the form graph, cards , tables and pie chart respectively, hence making it easy to Visualize and Analyze Data so that some insights can be made over the data
},
        keywords = {Data Visualization, Data Analysis, Call Data Record, WireFrame, Python.},
        month = {},
        }