minhchauvannguyen / oranges_rshiny

Shiny dashboard used for analyzing and forecasting fictious data with time series methods (ARIMA and Linear Regression).

🍊 ORANGE TIME SERIES ANALYSIS 🍊

This project was created with the purpose of building appropriate time series models to correctly forecast the number of oranges for different families across New Zealand in the next three years. The results are then presented using interactive charts for better interpretation.

About the data

The data used in the dashboard was generated randomly purely for educational purposes. It is hence fictional data which has 4 four columns:

• Name : Family Name
• Month
• Year
• Member: total number of members in a family
• Total: monthly oranges bought

Dashboard summary

The dashboard consists of three tabs:

• Results: displaying descriptive statistics and forecasting results in tabular form
• ARIMA: displaying ARIMA forecasting results and model’s performance
• Regression: displaying Regression forecasting results and model’s performance

Snapshot