📊 Data Analysis Case Study

This repository showcases a complete data analysis workflow across three major projects, using real-world datasets and Python-based visualizations. It demonstrates skills in data cleaning, EDA, statistical insights, and business presentation.

---

📁 Contents

1. Final Project – Airbnb NYC 2019

• Dataset: AB_NYC_2019.csv
• Analysis split into 5 parts: loading, exploration, visualization, outliers, and summary
• Charts: price distributions, room types, availability trends, outliers
• Deliverables: Python scripts, summary reports, PowerPoint presentation

2. Assignment 6 – Tip Distribution

• Basic data exploration
• Heatmaps, scatterplots, distribution plots

3. Assignment 7 – Titanic Survival Analysis

• Dataset: titanic.csv
• Visualizing survival rates by class and gender
• Bar charts and survival distributions

---

🔍 Key Skills Demonstrated

• Data wrangling with pandas
• Visualizations using matplotlib and seaborn
• Outlier detection
• Reporting and storytelling with data
• Structured Python scripting

---

🚀 How to Run

1. Clone the repo:

   git clone https://github.com/arun-data-analyst/Data-Analysis-Case-Study.git
   cd Data-Analysis-Case-Study
   

🧠 Author

Arun Acharya
Data Analyst in training | Willis College