However, this dataset does not contain the original data,
as some random noise is added afterwards, in order to
demonstrate functionality of rapport helpers. Dataset variables can be divided into 3 sets:
demographic data, Internet usage aspects
and application usage/content preference.
Demographic variables
- gender- respondent's gender
(factor with 2 levels: "male" and "female")
- age- respondent's age
- dwell-
dwelling (factor with 3 levels: "village", "small town"
and "city")
- student- is respondent a
student? (factor with 2 levels: "no" and "yes")
- partner- partnership status (factor with 3
levels: "single", "in a relationship" and "married")
Internet usage aspects
Following variables depict various aspects of Internet
usage:
- edu- time spent on-line in
educational purposes (expressed in hours)
- leisure- time spent on-line in leisure time
(expressed in hours)
- net.required- is
Internet access required for your profession? (factor
with 5 levels: "never", "rarely", "sometimes", "often"
and "always")
- net.pay- who pays for
Internet access? (factor with 5 levels: "parents",
"school/faculty", "employer", "self-funded" and "other")
- net.use- how long is respondent using
Internet? (ordered factor with 7 levels, ranging from
"less than 6 months" to "more than 5 years")
Application usage and on-line content preference
These variables include data on the use of Internet
applications and content available on the Internet.
Practically, they contain responses from a set of 8
questions on a five-point Likert scale.
- chatim- usage of chat and/or instant messaging
applications
- game- usage of on-line games
- surf- frequency of web-surfing
- email- usage of e-mail applications
- download- frequency of file downloading
- forum- attendance at web-forums
- socnet- usage of social networking services
- xxx- traffic to pornographic websites