Today, more than ever, the imperative objective of tourism activity stands out: Sustainability. Consequently, coping with the phenomenon of overtourism and simultaneously achieving its sustainable development have created an urging need for better and more effective planning, development, and management of the tourist activities. The Research Institute for Tourism in Greece has recently conducted a survey aiming to measure the sustainability of the Greek Hotel sector.

The dataset (original raw data) provides various relative measures of a sample of 114 hotels, summarized in the following variables: STARS Hotel class category (1*- 5*) ROOMS Hotel room number (Integer) OPERATION C= Continuous Operation S= Seasonal Operation TRACK Track Energy Consumption, YES = 1, NO = 0 TARGET Energy Consumption Reduction Target (%) LED_COST LED replacement cost (Euro) AC_COST A/C replacement cost (Euro) A/C_YEAR Year of A/C Installation PLASTIC Disposable Plastic Use 01 garbage bags YES = 1, NO = 0 02 straw YES = 1, NO = 0 03 table settings YES = 1, NO = 0 04 food and drink packaging YES = 1, NO = 0 05 dispenser YES = 1, NO = 0 06 none YES = 1, NO = 0 INVEST Planning Investment of Sustainability Funds

Question 1: (25%) 1.1 Construct the frequency distribution, percentage distribution and histogram of LED_COST variable from the original (raw) data. Comment on the characteristics of the distribution of the variable. 1.2 Use the original (raw) data to construct separately, the frequency distributions and the percentage distributions of the variable TARGET for hotels with a) Number of rooms 50 considered as small size hotels b) Number of rooms > 50 considered as big size hotels. What conclusions can you reach in terms of differences distribution shape and measures? 1.3 Use the original (raw) data to plot two histograms of frequency distributions of the variable INVEST one for the small and one for the large size hotels. What conclusions can you reach in terms of differences distribution shape and measures? 1.4 Use the original (raw) data to construct a summary table and a bar chart for counts and percentages of the group variable PLASTIC. Comment on the use of plastics in the Greek Hotel Industry. 1.5 Using the box plot and the Five Point Summary (Min, Max, Median, and Quartiles) describe and comment on the distribution of A/C oldness (age) derived from the A/C_YEAR variable. Use the original (raw) data. (note: Construct and use a new variable A/C_AGE in years) In constructing the frequency and percentage distributions and histograms determine number of classes and range and explain your method.