Astsa

Abstract

1. Introduction

... astsa is the R package to accompany the Springer text, Time Series Analysis and Its Applications: With R Examples and the Chapman & Hall text Time Series: A Data Analysis Approach using R.

We won't always push the latest version of the package to CRAN, but the latest working version of the package will always be at Github.

2. Objective

R package to accompany Time Series Analysis and Its Applications: With R Examples -and- Time Series: A Data Analysis Approach Using R

This project demonstrates how R can be applied to a real-world Data Science problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• See the project README for exact requirements
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/nickpoison/astsa.git
cd astsa

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Turn the analysis into an interactive dashboard
• Automate data refresh with a scheduled job
• Add a predictive model on top of the analysis

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. What is the source of the dataset and how was missing data handled?
2. Which exploratory analysis steps revealed the most useful insight?
3. Why were these particular charts chosen to present the data?
4. Which statistical or ML technique supports the conclusions?
5. How could the analysis be automated or refreshed with new data?

9. Source Code & License

This project is developed by nickpoison and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.