To develop for task 2 I need to do the following:
To develop for task 2 I need to do the following:
Here i experimented with a programme that i’m not too familiar with, however know of its potential to create amazing 3d objects and animations. Here is me experimenting by manipulating shapes, using a range of tools.
With this programme I am allowed to control how I manipulate objects by typing in how much I want the object to change. This could be a good feature if I find some figures on amount of drinks bought, and compare that data with how drunk people get. The more the shape twists could resemble how disorientated the person is.
Here I’ve considered what data I could collect under the different data collecting methods. With all the data collected I could then combine them to create interesting narratives.
The data contained within this short animated infographic is exceptional. If the data were to be written down raw, on a piece of paper it could take a whole day to read. However with clever use of a rotating year clock, moving lines and shapes to change the vehicle appearance, moving engine and changing icons of the engine and steering wheel, sums up this information in just over a minute long. With animated infographics, it has the potential to store a lot of data which i may consider if my data is quite large.
When seeing this a year back this was great motivation for me, never mind the other millions of people who has seen these models before. These models were made to show what certain weights of fat looked like. The models shocked me when i realised how big of an area 5lbs of fat was. Think for many people they may have said ‘oh i’ve only lost 5lbs’. Now they would be jumping for glee.
This app visualises your music library as a galaxy. It is a 3D universe created by information about recording artist the owner loves. It does this by allocating stars as artists, orbiting planets are albums and each planet has moon system representing each track. Rather than my iPad just telling me what music I like, I rather see it for myself which this app successfully does with constellation of stars. This app has the ability to take on data, and constantly build a visual to inform the owner of what music they want to listen to.
Finding data for my chosen theme initially doesn’t panic me, as the topic of alcohol is a very widely discussed and tested subject. Already I have explored 3 inforgraphics that are alcohol themed and already found some interesting stories.
To find information on Alcohol I can use both previous data and also first hand. There are many sites like CDC that have a long list of data sets containing relevant information that could be useful to me. Also, knowing someone who works for the NHS has access to particular information, can not only gain stats but also stories of alcohol related incidences. I think books even though unless up to date won’t have the current information I need, may still play a part in containing some background, that could potentialy create a great story. Collecting data first hand, I could use systems like surveys, observation, interviews all with their own benefits. I could also try and find sales of drink, to see how much as a whole the country purchase alcohol.
Survey- Good for gathering brief responses/ Can be administrated in written form/ Can include close-ended and open-ended questions
Observation- Can discover certain behaviours/ no risk of of people giving false info
Interviews- Deep insight into data/ in-depth attitudes towards topic/ can probe and explore questions
Reading bubbles lines and string has given me a great insight into how important data is and how data should be interpreted as a ‘matter of concern rather than a matter of fact’. When we can produce data visuals with context, that can provide multiple perspective needed for understanding, we can move on and progress. ‘Data provides the means society advances, science progresses and legalisation changes’, so without providing a visual without context and meaning, their is simply no room for progression.
In this workshop we were put into groups of 5, and was set the task of going and collecting data in our allocated theme of ‘travel’. We first had to find an angle on travel that we could then go and find data for. As a group we decided to do the number of deaths due to different types of transport.
Here is a programme that allows you to create objects in 3D space. The programme allows you to see the object you making in 4 windows (Top, Side, front and 3D space). It has a number of tools within the programme that allow you to manipulate an object to create an infinite amount of outcomes.
Here what was originally a normal 2D graph, was manipulated within 3D max to create A 3D visual.
Here we further experimented more with the possibilities of what we can create 3D.
Here we started to experiment removing space from an object.
Coming into contact with 3D programmes was not a strange to me, as I have used the programme Cinema 4D. However what was new to me was the potential of printing out files as a 3D object, which excites me greatly.
In this workshop we were exposed to a process called Coding. Coding is programming language that gives a computer a set of instructions to follow. Coding is very precise and if any hick ups, potentially break the whole system down.
Code when worked well is a very powerful tool. Giving a certain set of instructions that are relevant to my collected data, could potentially create some interesting motion visuals.
In this lesson we were exposed to something new called Arduino. Unbeknown to me, Arduino is an open source hardware board, that allows you to make circuits that create an interactive electronic object.
We were put into groups and given an Arduino set, in which we had to chose a circuit that would potentially collect some interactive data. As a group we decided that we would crate a light sensor, then go onto to measure the light in different part of the uni.
Once we had collected the data, we then took a tour around the uni with the Arduino in-front of us. This sensed different levels of light around the uni, which was then recorded on the Arduino. Once we had fished collecting the light data, we then linked the Arduino to the Mac via double ended USB. Here we could transfer and process this information on a programme called ‘Processing’.
This is the data processed into a simple graph. Having this data in this form allows us to extract meaning, and also allows us to develop this recording further. Seeing data as a visual gives a better sense of understanding, rather than seeing a load numbers on screen.