This repository contains several business-related data analytics projects, showcasing various data processing and analysis techniques used in real-world scenarios. Each project demonstrates the complete workflow, from raw data acquisition to final presentation.

• Objective: Describe the main business problem or question related to the relationship between work, sleep habits, and consumer behaviors.
• Data: Raw and cleaned data files provided.
• Analysis: Data cleaning, exploration, and statistical modeling of survey data.
• Tools: Excel, Python, Tableau, StatPlus.
• Results: Summary of the key findings and insights from the analysis.

• Objective: Predict brochure demand based on historical data.
• Data: Raw data with historical sales figures.
• Analysis: Time series forecasting using statistical models.
• Tools: Excel, StatPlus.
• Results: Final demand predictions, including various visualizations in Tableau, and a written report.

• Objective: Analyze movie data to uncover trends in genres, compare performance between major production companies, and examine the success of adapted vs. original films.
• Data: Movie datasets including variables such as popularity, genres, runtime, production company, and revenue.
• Analysis: Data cleaning and visualization using Tableau, focusing on trends over time, company performance, and movie adaptations.
• Tools: Tableau, Python.
• Results: Key insights about the movie industry, including trends in genre popularity, revenue performance, and the rise of novel adaptations.

• Python: Data manipulation and analysis.
• Tableau: Data visualization and dashboard creation.
• Excel & StatPlus: Statistical analysis and forecasting.

1. Clone the repository:

   git clone https://github.com/summerchu24/Business-Data-Analytics-Projects.git
   

• For any questions or inquiries, feel free to reach out via GitHub.