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
analysis social media demographic patterns behavioral insight
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