Daily screen time by participant:

Graph 1 shows the total daily recorded time from each one of the participants. The daily screen varies between days and participants, there is not a clear pattern in any of the cases .

Data cleaning :

Merging and standardizing names of the categories for each of the participants, this allow us to have uniform data for a correct analysis.

Time spent on Social:

Graph 2 shows the daily minutes spent on ‘Social’ category by participant. Note that there are several peaks in defined dates where participants such as ‘MU’ , ‘X’ and ‘Z’ spent more minutes on Social that the mean overall value.

Time spent on Games/Entertainment:

On graph 3 we can see that participants K and Z tend to spent significant more time than the rest of participants on games and entertainment . We could infer as well that participant MU doesn’t seams to be really attracted with games and entertainment.

Time spent on Education:

Graph 4 shows how participant invest their time on Education. It looks like participants such as Z, MU and X are the type of person that tend to organize their studies in fixed days to get all the work done at the same day. While M participants invest short periods of time on several days to complete their job done.

Time spent on Health & Fitness:

Graph 5 shows that for Health & Fitness seams to be really important for participant MU, investing high amounts of time in defined dates. The rest of participants are not interested on this topic.

## Time spent on Productivity & Finance:

Graph 6 shows the daily time spent on Productivity and Finance issues, in general all participants tend to invest more time on this category during weekdays in comparison to weekends. It’s interesting to see that participants MU and X share a similar tendence on this category.

Time spent on Travel:

Graph 7 shows the daily time spent on travel. Participants X and MU tend to invest big amounts of time during weekdays , suggesting that their job or center of study it’s located far way from their respective homes. The rest of participants doesn’t look like that they have the same issue.

Time spent on Creativity:

Graph 8 shows the time spent o Creativity. Almost all of the participants invest big amounts of time on this categories, probably due to their job,field of education and hobbies. Participant K doesn’t seams to be really interested on this category.

Analysis by participant:

Time spent in each category by participant:

Graph 9 shows the total time spent by participant in each of the categories during the time window of this study. This chart allow us to see the interest from each of the participants. Note that ‘Social’ is a important category for everyone in this study , while ‘Games and Education’, as we mentioned before, is really high for participants K and Z. Again, ‘Health and Fitness" category is import mostly for MU but not for the rest. Travel is a category that is quiet important in participants MU and X and categories such as ’Creativity’ and ‘Productivity and Finance’ are almost equal distributed in each of the participants.

Time spent distribution along weekdays and weekends by participant

Due that the time spent in some of the categories depends on the day of week , we decided to split the time into weekdays and weekends. The next charts shows the mean time spent, during the study , on each of the categories splinted on the time windows mentioned before.

Participant MU

On graphs 10 and 11 it’s notorious the proportion’s difference of time spent between categories. Note that while ‘Productivity and Finance’ is higher within weekdays, it is smaller during weekends. The fact of having more time spare time on weekends is reflected by a significant increment on categories such as’ Games and entertainment ‘and’ Health and Fitness ".

Paticipant M

On the case of participant M, graphs 12 and 13 are really similar, but there’s a clear increment on time invest on “Games and Entertainment” during weekend.

Participant Z

Graphs 14 and 15 shows that there’s is not a notorious difference between activities during weekdays and weekends carry out by participant Z.

Participant K

As in the last case, graphs 16 and 17 shows that participant K spends his time proportionally equal during weekends and weekdays.

Participant X

Graphs 18 and 19 shows a notorious difference between categories from participant X. The time spent on traveling is reduced during weekends, while the time spent on Social is highly increased.