Week 8 – Screen Time Study vs Screen Time Entertainment/Socialising

The screen time occupied by students compared to the screen time for entertainment and socialising reflects a greater amount of time dedicated for university study and attendance.
On average people are spending 8 hours and 41 minutes daily on electronic devices (Davies, 2015). According to the data calculated from students, 2.57 hours per day was dedicated to university study, with 0.94 hours per day of laptop usage at university and 0.461 of other screen use. The use of a desktop at university accounted for 0.78 hours per day.

Our daily engagement with social media has been climbing from 90 minutes to 135 minutes between 2012 and 2017 (Statista, 2018). Compared to these statistics of social media engagement, an average of 0.29 hours daily of social media on laptops was accounted and 0.51 hours via mobile phones. The most time spent on screens in respect to entertainment was Netflix or similar consumption, 0.46 hours on laptops and 0.55 on TV.

I found these results to be rather surprising considering the average typical usage of social media and general screen time. Due to the demanding nature of university and other commitments, students opted for alternative methods of occupying their free time.

Reference List

Davies, M. (2015, March). Average person now spends more time on their phone and laptop than sleeping, study claims. Retrieved from https://www.dailymail.co.uk/health/article-2989952/How-technology-taking-lives-spend-time-phones-laptops-SLEEPING.html

Statista. (2018, January). Daily time spent on social networking by internet users worldwide from 2012 to 2017(in minutes). Retrieved from https://www.statista.com/statistics/433871/daily-social-media-usage-worldwide/

Precedent Presentation/Data Analysis

50 Years Swiss Music Charts


What story does it tell?
The story tells 50 years of Swiss music charts, dating from 1968 till the present. Songs are represented by the number they were positioned on the charts during a specific time. Users are provided with a snippet of each song upon clicking for further inspection.

Does it allow for different levels of interrogation that can be seen or used on the part of the reader? eg. Can they drill down to discover more detail?

The reader is able to highlight certain songs and identify the title, artist and date they were present in the charts. The reader is also able to scroll down the page which navigates through the years.

Through the external link provided by Hitparade the user can navigate a different page where a further breakdown of data is given. This data includes a graph where 10,939 songs are discoverable, the most common word in each song title, mood and feeling the song evokes, Swiss songs and the key of the song.

Are you able to create multiple stories from it? If so what are they?

The data given is fairly linear and simply allows the user to identify the artist and song title. Through individual research the user would be able to learn more about the artist and songs

What can you say about the visual design – layout, colour, typography, visualisation style?

The visual design imitates a constellation within the galaxy, each song imitating a star connected to each other separated by time. By scrolling down the user navigates through the different years of the music chart, resembling a flying motion through outer space. The lines indicate each song and a number attached is reflective of their position on the Swiss Music Charts during that year.

The visual design remains uniform in its layout, with the use of a purple gradient background and white colour for text.


What improvements would you suggest?

Possible improvements could include a save button on songs the user is interested in, rather than navigating through the whole website every time they access the page.

Another improvement could be different colour backgrounds to differentiate each decade of music or to highlight a certain genre or country the music originated.

Where does the data come from? and comment on its source.

The data is courtesy of Hitparade and Spotify. Through the external link provided, the user can read through a further breakdown of data through visualisations ranging from mood, Swiss songs, cover songs and the song’s key.
mood:group presentation.jpeg