Hi All, I have a data set that looks like this: Member ID Site Page Views Time 1284183 www.playdom.com 4682 14,366 585061 www.facebook.com 13358 13,321 529833 apps.facebook.com 5868 9,055 4898080 www.facebook.com 7924 6,404 2565039 www.youtube.com 1710 5,824 4939438 www.youtube.com 1954 4,904 641927 www.worldwinner.com 1803 4,647 4928065 apps.facebook.com 261 4,527 4898080 apps.facebook.com 744 4,476 889593 www.adam4adam.com 8860 4,399 4958904 apps.facebook.com 504 4,297 4898080 www.sparkpeople.com 7480 4,206 4958779 apps.facebook.com 393 3,777 5269652 www.facebook.com 10600 3,484 4923921 www.facebook.com 8882 3,471 5271811 www.facebook.com 958 3,433 4962490 apps.facebook.com 894 3,285 4955017 apps.facebook.com 816 3,000 4941534 www.pogo.com 656 2,794 There are multiple sites per Member ID, Member ID and Site are unique combinations. Page Views is how many times that member clicked on that site. Time is the time in seconds spent on that site. I have about 10,000 records. I'm looking for some techniques to analyze this data in order to find out the relationships between websites. I want to be able to say that if someone visits facebook how likely are they to also visit youtube. so far i have run the data through the SAS Market Basket Analysis macro (but i don't know how to 'weight' the data using page views/time).I'm also open to ideas about other information that can be gleaned from a data set like this. Thank you!
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