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This repository contains data analysis projects and interactive dashboards created using Jupyter Notebooks, SQL, and Looker Studio. The projects cover various domains, including marketing, sales, e-commerce, video game analytics, and more.

Repository Structure

πŸ“‚ Jupyter Notebooks/

This folder contains Python-based data analysis projects, leveraging powerful libraries such as:

  • pandas & NumPy for data manipulation
  • Matplotlib & Seaborn for data visualization
  • Scikit-Learn for basic machine learning tasks

Each notebook explores real-world datasets, uncovering trends, patterns, and insights through data exploration and visualization.

πŸ“‚ Looker Reports/

This folder includes interactive dashboards built in Looker Studio, designed for visualizing key metrics and trends.

  • πŸ“„ PDF Exports of dashboards for reference
  • πŸ”— Live Dashboard Links for real-time data exploration

πŸ“‚ SQL Queries/

This folder contains SQL scripts for data extraction, cleaning, and analysis using joins, aggregations, and window functions.

πŸš€ Getting Started

Run Jupyter Notebooks Locally

Ensure you have Python installed, then install the required libraries:

pip install pandas numpy matplotlib seaborn scikit-learn

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Collection of data analysis projects and interactive dashboards for various datasets.

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