phpMyVisites | open source web analytics, website statistics
http://cfcberkeley.org/scripts/phpmv2/phpmyvisites.php have chosen phpMyVisites
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phpMyVisites | An open source website statistics and web analytics application distributed under the GNU GPL.
Today's date is Wed, 14 May 2008 17:22:49 -0600
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Indian Ocean
Modify newsletter
Previous
Citation
You're allways right. By using phpMyVisites, you're just even more right than usually.
Long term Analysis (Days of the Period)
Contacts
Graph to show durations of the visits by visitor
Cannot login. Bad login or password.
Exit Rate
Internet Service Providers
Who is behind phpMyVisites?
The author, documentor, and creator of the phpMyVisites project is Matthieu Aubry.
Don't hesitate to consult the acknowledgments page on the official website to get a complete list of phpMyVisites friends.
http://cfcberkeley.org/scripts/phpmv2/phpmyvisites.php have chosen phpMyVisites
Visitor information
Number
Month
Email has to be a valid email
Is phpmyvisites THE solution?
Free software is good for you!
Web Analytics
Web websites statisticsConfiguration
Browsers
URL alias Manager
No visits were provided by search engines.
1 page
Show statistics graphs.
Table prefix
Description:
Add newsletter
See statistics (if they are not protected by phpMyVisites administrator) for http://cfcberkeley.org/scripts/phpmv2
Today's date is also Wednesday 14th of May 2008 05:22 PM
Done!
Translator
Graph to show visits per hour for the server
Normal/widescreen
Entry pages
This period was removed in the administration, only the essential statistics were kept.
Name:
Show JavaScript statistics code
URLs aliases
Record all EXCEPT specified variables
Atlantic Ocean
visit
User management
A big thank you to all those who shared their culture while contributing to the translation of phpMyVisites:
Countries
You can edit user's groups by selecting the users you want to change, and then select a group in which you want to move the selected users.
Either choose to reuse the existing database tables or select a clean install to erase all existing data in the database.