Important log fields for Web analysis

Date and time IP address URL accessed Protocol (HTTP or FTP) Browser type OS type Cookie Site referrer

WHE DQDOysHUs SDUsH WhH GHWDLOs RI WhRsH WHxW fiOHs WR FDUUy out an analysis. For example, by sorting based on the source ,P DGGUHss, wH FDQ fiQG RXW hRw PDQy hLWs wHUH JHQHUDWHG Ey D SDUWLFXODU WHE FOLHQW; RU Ey LQWHOOLJHQWOy sRUWLQJ WhURXJh WhH WHE SDJH fiOH QDPHs, wH FDQ NQRw whLFh SDJHs DUH hLW WhH PRsW. BDsHG RQ WhH vDOXHs LQ WhH EURwsHU fiHOG DQG O6 WySH, it is easy to know the number of Windows machines running the IE browser or Firefox, Mac users running Safari, etc. As you can see, all this information is extremely useful to tune the website according to the users’ experience, thus increasing WUDIfiF DQG OHDGLQJ WR EHWWHU EXsLQHss.