In this video, we perform an in-depth data analysis of social media platforms to uncover interesting insights about user behaviour, platform preferences, and engagement metrics using Python and pandas. Whether you're a data enthusiast or someone curious about how users interact with different platforms, this tutorial will provide you with valuable insights.
📊 Analysis Techniques:
Filtering and aggregating data by age, platform, and time of day.
Using groupby() and value_counts() functions in pandas to draw meaningful conclusions.
Technologies Used:
Python 🐍
Pandas 🧮
Code and Dataset - https://colab.research.google.com/dri...
This video offers a step-by-step guide on how to conduct such analyses and derive actionable insights from social media data. Whether you're learning data science, improving your Python skills, or just exploring social media trends, this tutorial is packed with valuable tips.
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