Dear readers of EdStat, I have a data set of the number of tourists who came to Brazil from 1990 to 2000. I have 10 different nationalities of tourists and I also have the type of accommodation they were in. I also have the different cities in Brazil and the number of tourists for each one, also by years and even months, by kind of accomodation and by nationality.
I would like to extract the information of those data in order to find if there are patterns among the tourists, the evolution of them, the differences in the kind of accomodation, if it has changed through the years and if there are seasonal patterns. I checked cluster analysis, but since I have ten variables corresponding to the years, I don't know if this is correct. I was told that a correspondence analysis should be appropriate (for the tourists and the kind of accomodation), but since I have the variable year and month I don't know how to deal with it and maybe there are more appropriate techniques. In order to show the evolution, I think I should extract the information for each nationality as a time series, but I don't know if I could also show the evolution for several nationalities altogether. As I have the data by months, ARIMA models should fit (I guess). If someone knows how I can deal with this data, the Kind of techniques I should use and if there are any references of related things, I would appreciate it so much. Thank you very much in advance. Patricia ___________________________________________________ Yahoo! Messenger - Nueva versi�n GRATIS Super Webcam, voz, caritas animadas, y m�s... http://messenger.yahoo.es . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
