**Purpose The government hospitals in Cyprus do not have an efficient and effective way of analyzing and processing the emergency room patient's data for the seasonal pattern of illness.
**Significance By using Python programing language I developed an efficient and effective way of processing and analyzing the patients' data for the seasonal illness trends and give the advantage of predicting the upcoming illness peaks and getting prepared for them in multiple ways to will provide quicker diagnosis and medical supplements.
**Methodology The paper-based patient data was transferred to a spreadsheet which was later imported to Pandas as a dataframe for analyzing the data and exploring the potential trends in peaking of illnesses.
**Implication The methodology that I have developed in this project with Python will be shared with government hospitals in Cyprus.
