Data Analysis for Social Media: Demographic Patterns and Behavioral Insight
Student: Umar Alhaji Umar (Project, 2025)
Department of Information Technology
Bayero University, Kano, Kano State
Abstract
Social media has become one of the most significant aspects of modern communication, enabling billions of people worldwide to interact, share, and consume information daily. This study focuses on exploring social media users' demographic patterns and behavioral insights using exploratory data analysis (EDA) techniques. The main objective of this project is to identify trends, correlations, and relationships within social media user data, with particular attention to age, gender, and location factors. Data was collected and cleaned to ensure accuracy, and various analytical methods were applied to extract meaningful insights. The findings of this research reveal notable differences in how different demographic groups use and engage with social media platforms. These insights can help marketers, policymakers, and platform developers better understand user preferences and enhance user experience.
Keywords
For the full publication, please contact the author directly at: Alhajiumar404@gmail.com
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Institutions
- Federal University of Technology, Minna, Niger State 47
- Federal University of Technology, Owerri, Imo State 95
- Federal University Oye-Ekiti, Ekiti State 41
- Federal University, Birnin-Kebbi, Kebbi State 37
- Federal University, Dutse, Jigawa State 6
- Federal University, Dutsin-Ma, Katsina State 63
- Federal University, Gashua, Yobe State 3
- Federal University, Gusau, Zamfara State 14
- Federal University, Kashere, Gombe State 1
- Federal University, Lafia, Nasarawa State 6