Survey Data on Customer Two-Stage Decision-Making Process in Household Vacuum Cleaner Market

The dataset contains several components, including:
1. The survey instrument used to collect the data in .pdf file format (pdf file for the questionnaire)
2. The raw survey data in .csv file format (csv file for survey data): The survey data contains 251 variables with responses from 1002 respondents. In the survey design, all questions are mandatory, and therefore no missing values exist, except for instances where respondents chose to respond with “prefer not to say” (in some sensitive demographic questions) or “I don’t know” (in some questions related to their social networks). Non-applicable responses are coded as "NULL" and blank values.
3. The codebook for the raw survey data in .xlsx file format (xlsx file for survey data): The codebook explains each of the 251 variables included in the survey data file. The codebook lists how each survey question and response option is numerically coded in the raw data and can be used as a guide for navigating the survey dataset.
4. The product feature list data in .csv file format (csv file for product data): The product feature list data contains the product features of 624 vacuum cleaner products and each product has 32 variables/features. Missing values, where no online information is available, are coded as “NA,” while non-applicable values, such as runtime for corded vacuum cleaners or navigation path for non-robotic vacuum cleaners, are coded as blank values.
5. The codebook for the product features list data in .xlsx file format (xlsx file for product data): The accompanying codebook provides a detailed description of each feature and its data type, as well as the number of missing values for each product feature in the last column.