The Airbnb data containing outlier is shown below a) Clean and merge the two data tables to extract valuable insights b) Analyzing the data to identify the prices per night for the properties vary by location and neighborhood? c) Read a list of check-in and check-out times and use the merged data frame to output a table of the average price per night for each property type based on the check-in and check-out times. Module-2 Question Bank: ADSP d) Use the merged data frame to output a scatter plot of the number of bedrooms against the price per night for each property type. e) Use the merged data frame to output a box plot of the distribution of prices per night for each property type. Data Table: 1 able:2 Property ID 12345 23456 34567 45678 56789 67890 78901 89012 90123 01234 Property ID 12345 23456 34567 45678 56789 67890 78901 89012 90123 01234 Reviews 4.9/5 4.8/5 4.7/5 4.9/5 4.6/5 4.5/5 4.8/5 5.0/5 4.7/5 4.4/5 Property Type Price per night 750 600 1500 3000 850 450 1750 9500 900 100 Apartment Condo House Villa Apartment Condo House Villa Apartment Condo Check-in Procedures 3:00 pm at lobby 4:00 pm at reception 2:00 pm at front door 3:00 pm at villa 2:00 pm at lobby 3:00 pm at reception 4:00 pm at front door 2:00 pm at villa 3:00 pm at lobby 4:00 pm at reception Check-out Procedures 11:00 am at lobby 10:00 am at reception 12:00 pm at front door 10:00 am at villa 12:00 pm at lobby 11:00 am at reception 10:00 am at front door 11:00 am at villa 12:00 pm at lobby 11:00 am at reception
The Airbnb data containing outlier is shown below a) Clean and merge the two data tables to extract valuable insights b) Analyzing the data to identify the prices per night for the properties vary by location and neighborhood? c) Read a list of check-in and check-out times and use the merged data frame to output a table of the average price per night for each property type based on the check-in and check-out times. Module-2 Question Bank: ADSP d) Use the merged data frame to output a scatter plot of the number of bedrooms against the price per night for each property type. e) Use the merged data frame to output a box plot of the distribution of prices per night for each property type. Data Table: 1 able:2 Property ID 12345 23456 34567 45678 56789 67890 78901 89012 90123 01234 Property ID 12345 23456 34567 45678 56789 67890 78901 89012 90123 01234 Reviews 4.9/5 4.8/5 4.7/5 4.9/5 4.6/5 4.5/5 4.8/5 5.0/5 4.7/5 4.4/5 Property Type Price per night 750 600 1500 3000 850 450 1750 9500 900 100 Apartment Condo House Villa Apartment Condo House Villa Apartment Condo Check-in Procedures 3:00 pm at lobby 4:00 pm at reception 2:00 pm at front door 3:00 pm at villa 2:00 pm at lobby 3:00 pm at reception 4:00 pm at front door 2:00 pm at villa 3:00 pm at lobby 4:00 pm at reception Check-out Procedures 11:00 am at lobby 10:00 am at reception 12:00 pm at front door 10:00 am at villa 12:00 pm at lobby 11:00 am at reception 10:00 am at front door 11:00 am at villa 12:00 pm at lobby 11:00 am at reception
Chapter4: Analyzing And Charting Financial Data
Section: Chapter Questions
Problem 2.10CP
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