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.
- 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.