Clean-and-analyze-social-media-usage-data-with-Python
🥈SilverThe project utilizes Python to process social media data, particularly tweets, enhancing marketing strategies. Using NumPy and Random libraries, it systematically creates and manipulates simulated data, replicating diverse social media interactions across content categories and post types.
400Updated Today
Intermediate30min to implementmarketing
Saves ~60 min per use
Quick InstallView Source
git clone https://github.com/itsme-Ash/Clean-and-analyze-social-media-usage-data-with-Python.gitWorks with:
Claude
Overview
About This Skill
The project utilizes Python to process social media data, particularly tweets, enhancing marketing strategies. Using NumPy and Random libraries, it systematically creates and manipulates simulated data, replicating diverse social media interactions across content categories and post types.
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/itsme-Ash/Clean-and-analyze-social-media-usage-data-with-PythonRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
📝
No Examples Available
Check the GitHub repository or documentation for usage examples.
