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
- Sokoto State University, Sokoto, Sokoto State 42
- St. Albert The Great Major Seminary, Abeokuta. (affl. To University of Benin) 1
- Sule Lamido University, Kafin Hausa, Jigawa State 4
- Tai Solarin University of Education, Ijagun, Ogun State 18
- Tansian University, Oba, Anambra State 1
- Taraba State University, Jalingo, Taraba State 32
- Temple-Gate Polytechnic, Osisioma, Abia State 1
- The Oke-Ogun Polytechnic, Saki, Oyo State 6
- The Polytechnic, Ibadan, Oyo State 13
- THOMAS ADEWUMI UNIVERSITY, OKO-IRESE, KWARA STATE 1