WEEK 11 : Dashboard – Student Screen Use

  • Mini Tasks 1

Through this data, it is evident that out of mobile phones & laptops, the laptop is the most popular device, for its convenience and function, and in addition it seems the Tv is still used to experience films or gaming’s, however the overall total use is a big decline from baby boomers usage. The data shows a breakdown of the students screen use for each category. It seems that students to spend most of their time recreationally and at uni, all while using their devices.

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  • Mini Tasks 2

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WEEK 10 : Dashboard – Our Time data

A day in the life of a Western Sydney University student – The data depicts an overwhelming amount of screen time amongst the Uni students daily schedules. Which was unsurprising, given the group of millennial subjects. The data shoes mobiles were mainly using for online chat messaging / specifically when travelling. In addition, during study time, almost all students would use their desktop/laptop devices.

The data definitely reflects my age & my generation – being the tech obsessed millennial group referred to by the Bureau of statistics “Children in the 21st century are considered by many to be the digital generation: IT savvy children who have never known life without a computer or the internet. They use IT frequently and in a variety of ways.” (Bureau of Statistics, 2011)

 

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WEEK 8 : Make a Story

Screen Usage in an Average Day

This data depicts the average amount of time a single student will spend doing various activities throughout the day. The data depicted represents the average daily routine of 36 university students over a 7 day period. After assessing the collected data, it is evident students are opting for a more screen based leisure activities as opposed to physical exercise.

. Each activity which I recorded came under nine major activity groups broken down into four types: Necessary time  1. Personal care activities Contracted time 2. Employment activities 3. Education activities Committed time 4. Domestic activities 5. Child care activities 6. Purchasing activities 7. Voluntary work and care activities Free time 8. Social and community interaction 9. Recreation and leisure . These are the Classifications from the Australian Bureau of Statistics 2006 Time Use survey which used. In addition, I also recorded how much of this time use involves screen time, which unsurprisingly resulted in accounting to majority of the time.

The data definitely reflects my age & my generation – being the tech obsessed millennial group referred to by the Bureau of statistics “Children in the 21st century are considered by many to be the digital generation: IT savvy children who have never known life without a computer or the internet. They use IT frequently and in a variety of ways.” (Bureau of Statistics, 2011)

 

In conclusion, it is evident from this data that technology is an important access of everyday life for me. This is most definitely a reflection of the society & culture which I live in, screen time is embedded into the daily lives of millennials, whether it be for recreational use such as gaming, social networking, listening to music, online shopping etc, or educational use. Thus, although my screen-time may be excessive & un-healthy, it is a cultural trend & is natural behaviour for my age group.

 

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Lecture Pod 9

Natalia Miebach is a Boston-based artist who translates weather data in sculptures and musical notes. In this Ted Talk, Natalie explains her sculpture creation of Hurricane Noel in 2007. Her unique sculpture can be read and played as musical piece, as every element in the sculpture reverts to a musical note. Natalie explains that weather systems and patterns are invisible to most of us. However, by using sculptures and music, Natalie makes what was invisible, visible. Natalie’s sculpture is accessible through multiple outlets – art, science and music, making it a ground-breaking innovation.

Reflection:

 This ted talk was really interesting, as I had never seen music and data visualization combined before. I think Natalie’s approach, in visualizing the data by converting them to music notes was really creative & unique. This was a really interesting and insightful was to view data and revealed that data can really be visualised in any way provided it create meaning.

Natalie ensures that the sculptures and the music created is a direct interpretation of the data. It isn’t manipulated to look or sound a certain way based on her personal interests, which is very important in data & journalism.

 

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Miebach, N. (2011). Art made of storms [Image]. Retrieved 24 September, 2018 from https://www.ted.com/talks/nathalie_miebach

 

Reference 

Miebach, N. (2011, July). Art made of storms [Video File]. Retrieved from https://www.ted.com/talks/nathalie_miebach

 

Lecture Pod 8

Summary:

It is very common in this day and age to feel like we are being overloaded with information and the solution is data visualizing, combine numbers and patterns together then designing that information so it makes more sense, or it tells a story or allows us to focus only on the information that’s important.

There is always interesting and odd patterns hidden in this data that you can only see when you visualize it. As David refers to In his lecture , there is a popular phrase that “Data is the new oil”, however he believes “Data is the new soil” because it is a fertile, creative medium.

Data Visualization is a quick solution to explore data, even the information is terrible, graphs can be beautiful. Visualizing information is a form of knowledge compression, “design is about solving problems and providing elegant solutions, and information design is about solving information problems.”

 

Data journalism is the helping public discourse establish what they can trust. The guardian came up with a code/algorithm which looked at the achievement of gold medals, and how much more value was derived from country’s who had less population and less expectation of winning compared to more favoured country’s.

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Reflection:

“Data is the new oil” or “Data is the new soil” because it is a fertile, creative medium.

Data is the kind of ubiquitous resource that we can shape to provide new innovations and new insights. visualizations, infographics, data visualizations, they all came out and play important roles to help visualize and analyse massive data on the Internet. Reading graphs is effortless and when you’re navigating dense information, beautiful graphics or a lovely data visualization, it’s a relief.

Lecture Pod 6

What is Data Journalism? – The Guardian

“Its not about opinions , its about what’s really there”

Journalism is about telling that story using then power of data. Data journalism is the use of key information sense, key data, key reference elements to inform a story.Data journalism is the recognition of the power of measurement in helping public conversations and public discourse in general.

Data journalism is something new, it relies entirely on the technologies of the moment and didn’t exist before 2009. Graphs help understanding data and news more effectively.

 

Reflections:

The most important thing about any data that’s applied whether it’s a spreadsheet or any other is that it has to be precise it and has to be accurate and has to be a logical way for the code to talk to it and get back the right information.

 

Lecture Pod 5

Summary:

Why Use Graphs ? To make comparisons easier.

There is an over use of bubble charts – Designers often chose graphs styles purely based on aesthetic purposes, even though it doesn’t   effectively aid the information.

Bar goods are good because they allow for simple comparisons. Bubble charts prompt the viewers to compare the height & width of the bubbles, instead of comparing the circumference of the circles. Circles almost always prompt audience to compare the circle sizes. Squares are much easier to compare, more accurately.

 

Bubble charts + colour scales often suggests the statistics are similar , even thought the actually aren’t, as it’s hard for the human eye to recognise a difference In the information.

 

The wrong type of graph can obscure really important information (which could have saved lives, in the historical example of the Nasa rocket crash).

 

Bar charts are most commonly understood because they have a great familiarity. They allow for you to quickly compare information & they contrast the differences between high & low.

 

Pie charts are another graph that are commonly mis-used. They are for minimal amount of data comparison.

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*This image was taken from the lecture pod.

 

References

McCandles, D. (2010). leonGraphsPod720p. Retrieved from https://vimeo.com/177306425

 

 

Reflection:

 

Designers choose what is aesthetic, our vision and brains struggle to measure surface area, better equipped at analysing length. Due to this we struggle to differentiate statistics that involve circles and tend to underestimate size, figures and values. So in conclusion, Why do we use graphs? To make comparisons easier! As Alberto Cairo started ‘The more accurate and easier it is to make a judgment the more likely the reader will take away a perception of the presented patterns’.

 

About Me

About this blog :

This blog is where I will document my data visualization journey. I will be researching & working on assignments in class which will deepen my knowledge & understanding of data visualisation.

 

About me :

Hi, I am a young and aspiring graphic designer. This blog will be where I will upload all my notes and insights from my uni lectures.  I love the world of design and am constantly inspired by new and inventive designs.  This work realm allows for so much creativity and innovation, thus I am very excited to explore new ideas.