This dynamic graph has been created from data of IP addresses connected by cable in the network of the University. The evolution of the number of connections throughout the week can be correlated with the number of users of the buildings.

The objective of this graph is to present a typical week with its evolution of entrances and exits in buildings. It may be useful, for example, to plan air conditioning schedules.

How does it work?

The first selector allows choosing the campus to do a pre-filter of the locations. The second selector allows choosing the network from the specific location. Warning: if this second selector is not working, you must press and hold the button, and the list of locations will appear.

The graph automatically adapts to the selection. Leaving the cursor on each bar, the exact values will appear.

The lower graphic is used to select the desired time interval. By default it shows Wednesday, but dragging the tabs on the sides allows comparing other days and hours.

Which data does it show?

The Computer Service has a record of the number of IP addresses within each network. The servers retain the IP addresses up to 3 hours after the last activity, so this data must be filtered. Subsequently the data are used to extract the occupations corresponding to 10 weeks of each year without holidays and distributed to the different stations, and since no significant trends or differences have been found between them, the average of the set of weeks is calculated. Finally a rest is made to remove from the number of IP addresses those corresponding to network equipment, access points of the WiFi network, fire control units, etc. The exploitation of data reaches from 2014 to 2017.

The locations depend on the structure of the computer network, so it can occur that, if two buildings share the same network, their graph will be joint, since we do not have more segregated data. A clear example is the joint chart of Nursing, Aulario I and Aulario III, which, although they are widely separated, share a single computer network.

It should also be borne in mind that there are few cable connections to the Aularios (lecture buildings), which correspond to a few computers for the concierge staff. In these cases the evolution of occupation will be less representative.