Boston Pre-COVID Tourism Analysis with R:
Data:
https://data.boston.gov/dataset/economic-indicators-legacy-portal
Code:
https://github.com/naoyamorishita/study/blob/7c45e4349ac1e67f785cf187a9803f8336d52f69/boston_precovid_tourism_analysis_withR
4. Objective of Study
• To Analyze Relationship between:
• Number of Passengers of Boston Logan International Airport
• Daily Average Hotel Rate
• To Enhance R Analysis Skill
5. Research Questions
üWere there Descriptive Characteristics in the Data?
üWere there Statistical Relationships among the Data?
7. Dataset
• ECONOMIC INDICATORS (CSV)
• Including
• Total Number of Passengers/ Month at Logan Airport
• Total Number of Int’l Flights/ Month at Logan Airport
• Average Hotel Rate in Boston Monthly Basis
• Downloaded on 16 Nov 2022
• URL is in the Description of this Deck
8. Research Questions
üWere there Descriptive Characteristics in the Data?
üWere there Statistical Relationships among the Data?
17. Conclusion
• No. of Average Passenger was around 3.5M/ Month
• Average Hotel Rate was around $250/ Night
• Yearly Number of Passengers of Logan Airport Increased
• There was a Strong Correlation between:
• No. of Passengers/ Month of Logan Airport
• Monthly Average Rate of Hotel/ Night