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.
Make sure to like, subscribe, and hit the notification bell 🔔 to stay updated on more data analysis tutorials! Drop a comment if you have any questions or want to see more videos like this.
On this page of the site you can watch the video online Exploratory Data Analysis on Social media usage || Python || Pandas || Data Analysis with a duration of hours minute second in good quality, which was uploaded by the user MERN Stack Dev 14 October 2024, share the link with friends and acquaintances, this video has already been watched 405 times on youtube and it was liked by 22 viewers. Enjoy your viewing!