This is a comprehensive data analysis portfolio delving into purchase data collected from a large home appliances and electronics online store between January 2020 to November 2020.

The dataset, obtained through the Open CDP project, captures product transaction events - each row signifying an event representing a many-to-many relationship between products and users. This unique perspective allows for exploration of customer behavior, product performance, and business insights.

As a data analyst, I leverage skills to unravel patterns, trends, and meaningful correlations within this extensive dataset. The openly sourced customer data enables deep dive into dynamics of an online store, offering opportunities to extract actionable insights and recommendations.

This portfolio unlocks potential hidden within realms of home appliances and electronics purchase data. Key topics explored include:

• Data Exploration
• Data Cleaning
• Time Series Analysis
• Product Analysis

  And more!

To explore this portfolio, begin with the Jupyter Notebook Electronics Store Notebook.ipynb for an overview of dataset contents and analysis approach. Individual analysis files are found in the reports folder. Contact me for any other assistance!