Welcome to the Data Science Reports repository! This collection serves as a comprehensive database for all the data science projects undertaken during my academic journey at the University of Rhode Island.

1. Project: passwords

• Description: What makes a password strong? Is it the amount of characters it contains? Or perhaps a category it is apart of? In this project, I endevor into the inteicacies of what makes a password strong or weak.
• Files:
  • main.R: The main project file used for importing the dataset and previewing before analysis.
  • variation.R: The project file used to explore the variation within the given dataset.
  • variationModeling.R: The project file used to model the variation with regression and linear models.
  • passwords.Rproj: RStudio project configuation to replicate the project on your own machine.
  • passwords.csv: The main dataset used in the project.
  • passwordStrengths.csv: Second dataset used in the project to compare with the main dataset.
  • passwords_analysis.ipynb: Jupyter Notebook containing the analysis code.
  • passwords_analysis.pdf: PDF version of the Jupyter Notebook containing the analysis code.

2. Project: StudentSurvey

• Description: Data from a survey of students in introductory statistics courses
• Files:
  • main.R: The main project file used for importing the dataset and analysis.
  • StudentSurvey.Rproj: RStudio project configuation to replicate the project on your own machine.
  • StudentSurvey_analysis.ipynb: Jupyter Notebook containing the analysis code.
  • StudentSurvey_analysis.pdf: PDF version of the Jupyter Notebook containing the analysis code.

Feel free to explore each project folder for more details on the analyses performed, methodologies employed, and conclusions drawn. The code is provided in Jupyter Notebook format, making it easy to replicate and build upon the analyses.

If you find any areas of improvement or have suggestions for new analyses, feel free to open an issue or submit a pull request. Contributions are welcome and encouraged!

This repository is licensed under the Creative Commons Zero v1.0 Universal license, which allows you to use the code for any purpose without restrictions.

Thank you for visiting the Data Science Reports repository! Happy exploring!