We are developing this section of our website to report and display the site user statistics. Over the past few years we have intermittently displayed various statistics as we have developed the site in order to monitor the results of change or new items. Regular visitors have told us that they too like looking at the graphs to see how we are doing so we have decided to make this section a permanent feature and develop it further.
The User Session count is one of the basic statistical elements that is of use to the website controller but it is important to understand what it means. To a website a user is not only any one but anything, a search engine robot is a user just as much as you are whilst you are on the site. The session count informs the website controller of the overall usage of the site at any given moment in time.
The number below represents the current number of User Sessions on our servers* at this moment in time
* The British Towns and Villages website is hosted in a load-balanced environment from three web servers and the databases are delivered to them by an additional SQL database server. We have now added two sub-domains to our site to deliver the National Image Library and the Flora and Fauna Database.
The total number of User Sessions each of the last 24 hours and total for each of the last 7 days is recorded and displayed on graphs that can be accessed using the menu on the left.
We have developed a new statistical record to record the daily total of user sessions over a long period of time. Refresh page to update today's count.
| Date | Total User Sessions |
|---|---|
04/07/2009 |
1,582 |
03/07/2009 |
45,037 |
02/07/2009 |
59,724 |
01/07/2009 |
53,845 |
30/06/2009 |
56,466 |
29/06/2009 |
50,245 |
28/06/2009 |
51,306 |
27/06/2009 |
39,664 |
26/06/2009 |
49,223 |
25/06/2009 |
39,452 |
24/06/2009 |
94,255 |
23/06/2009 |
53,980 |
22/06/2009 |
47,650 |
21/06/2009 |
43,400 |
Using this new system we have been able to reduce the amount of data we are storing and the load on our servers required to calculate the statistics and produce the graphs but at the same time extending the overall amount of useful data that we have to hand. Once we have built up sufficient data we will be able to compare each month over a whole year or even over successive years.
