Project 1: Defining a Data Science Problem & Understanding Data

Overview

The puropse of this project was to complete a full data science exploration demonstrating that I can:

• define a reasonable, well-scoped data science problem,
• clean and explore a real-world dataset,
• create effective visualizations that help answer questions,
• and thoughtfully reflect on what the data does (and does not) tell me.

Dataset

• Source: https://www.kaggle.com/datasets/rockyt07/social-media-user-analysis
• Size: [1,000,000 rows/57 columns]
• Description: [“This dataset contains 1,000,000+ fully synthetic user profiles that realistically simulate Instagram usage patterns combined with detailed demographic, lifestyle, health, and behavioral attributes.”]

Methods

• Data Cleaning with Pandas
• Visualizations with Seaborn and Matplotlib

Full Essay & Code

• Click here to read my full essay (PDF)
• Juypter Notebook Code

Results