Vienna, Austria is a popular tourist destination for business and leisure. From the hundreds of places that offer accommodation, we want to pick a hotel that is underpriced relative to its location and quality for a weekday in November 2017. What kind of variables could we consider during our search for a good deal? We look at qualitative and quantitative variables and create a data table that we can work with.
This case study illustrates how to find problems with observations and variables and uses the
hotels-vienna dataset. It shows how to create a tidy data table and how to deal with missing values and duplicates. It allows instructors to demonstrate the importance of data cleaning and the common steps of data wrangling.