With our Disney Cruise Line survey going strong, we thought we'd take a peek into the data to make sure we're doing the most important thing a survey can do: achieve a rich and varied sample. With over 600 responders across the US (including Alaska, which is hidden in the image below), we wanted to be sure that we are capturing as much diversity in our data as possible. Of course, looking at the quality of a survey sample includes many more variables than location (we also ask about sex, race, age, marital status, and income level in our survey), but as a single variable looking at the geodata can help us identify if our responders are too concentrated in one area, or if we have major gaps in our data. We can also go back and correlate respondent locations to other interesting geographic elements, like the two US parks (Disneyland and Walt Disney World), as well as responder proximity to US ports from which DCL sails (i.e. Port Canaveral (FL), Miami (FL), New York (NY), Galveston (TX), and more).
About the Map
This simple symbol map features small blue circles where zip codes were reported for each of the 600+ survey responders. The bigger and darker the circle, the higher the percentage of survey responders who reported living in that zip code. This data for any individual zip code can be seen (in a tooltip) by hovering over any individual circle.
This interactive dashboard also features a zip code entry where users can enter their zip code, and, if it appears in our data, the map will isolate on that area!
If you'd like to interact with the map, you can do so below or directly on Tableau Public. (If you haven't already, don't forget to take the survey here, too!)