Computer Science Stuff

Updated On: 11/16/2008

You can download it here in plain text format

1. google.com
2. yahoo.com
3. myspace.com
4. youtube.com
5. facebook.com
6. live.com
7. msn.com
8. wikipedia.org
9. ebay.com
10. aol.com
11. craigslist.org
12. blogger.com
13. go.com
14. amazon.com
15. cnn.com
16. espn.go.com
17. photobucket.com
18. flickr.com
19. microsoft.com
20. comcast.net
21. adultfriendfinder.com
22. wordpress.com
23. nytimes.com
24. imdb.com
25. ask.com
26. aim.com
27. about.com
28. weather.com
29. pornhub.com
30. fastclick.com
31. rapidshare.com
32. mapquest.com
33. pogo.com
34. apple.com
35. foxnews.com
36. youporn.com
37. redtube.com
38. att.net
39. walmart.com
40. adobe.com
41. megavideo.com
42. vmn.net
43. reference.com
44. doubleclick.com
45. bbc.co.uk
46. target.com
47. rr.com
48. nfl.com
49. netflix.com
50. sportsline.com
51. livejournal.com
52. answers.com
53. washingtonpost.com
54. careerbuilder.com
55. ign.com
56. hulu.com
57. zedo.com
58. att.com
59. bestbuy.com
60. verizon.net
61. googlesyndication.com
62. foxsports.com
63. disney.go.com
64. dell.com
65. typepad.com
66. cnet.com
67. hi5.com
68. xvideos.com
69. linkedin.com
70. gamespot.com
71. veoh.com
72. usps.com
73. livejasmin.com
74. tribalfusion.com
75. playlist.com
76. xnxx.com
77. latimes.com
78. monster.com
79. imageshack.us
80. ning.com
81. tube8.com
82. fimserve.com
83. deviantart.com
84. gamefaqs.com
85. msplinks.com
86. tinypic.com
87. imeem.com
88. clicksor.com
89. nbc.com
90. thepiratebay.org
91. tagged.com
92. quizrocket.com
93. ups.com
94. reuters.com
95. bankofamerica.com
96. watch-movies.net
97. abcnews.go.com
98. chase.com
99. dailymotion.com
100. download.com

Popularity: 18% [?]

When analyzing your website statistics you break it down into four categories:

1. Visits
   
2. Pages
3. Hits
4. Bandwidth

Visits

Usually called unique visitors, this is a deduction of how many “people” visited your site. Usually based on IP address and sometimes other factors as well. This is always an estimation since there is no accurate way to measure that. Therefore different stats programs could come up with different numbers using the same log file. I use awstats and another stat program to gauge how many people come to my website.
Example: A visit from User A at IP address X would count as one unique visitor, regardless of how many pages they viewed or how many hits they generated.
Usage: Great metric to estimate the number of unique people that visit your site. Your reach.

Pages

How many pages have been viewed on your website, ignoring embedded images and such.
Example: Let’s say your homepage, index.html, has three images on it. When someone visits your homepage, the server will record 1 page view.
Usage: Useful metric to determine how many and what individual pages of your site are being viewed. Helps you guesstimate the number of pages each visitor views each time they come to your website.

Hits

How many objects are loaded up when a visitor comes to your website.
Example: Let’s say your homepage, index.html, has three images on it. When someone visits your homepage, the server will record 4 hits: one for the index.html document, and one for each of the three images it had to fetch to complete the page.
Usage: To see how many objects your server is loading up.

Bandwidth

This shows the amount of data sent from your server
Example: If your homepage is 14k plus 3 images at 12k each, then when a typical user requests that page they’ll pull 50k of bandwidth (14+12+12+12).
Usage: See your bandwidth usage.

Reading the numbers…

Example of everything together

Example of a statistic: 100 unique visitors, 300 visits, 1200 page views, 3600 hits, 2.2GB bandwidth

This means an estimated 100 different people have visited. Those 100 people visited on average 3 times each (300 visits / 100 uniques). During each of those 300 visits, those 100 people viewed an average of 4 pages each (1200 page views / 300 visits). Those 1200 page views generated and average of 3600 hits, or 3 hits per page. All together, 2.2GB of bandwidth was consumed.

2.2GB of bandwidth is a lot for that level of traffic. Unless they are movies, the graphics could be way too big. 3 hits per page view? are images being cached appropriately? Could signal some coding inefficiencies.

The number of visits being higher than the number of uniques is good. Means you have repeat visitors.

4 page views per visitor, how good/bad that is depends on the site. Measures the “stickiness” of your site.

Popularity: 13% [?]