Summary In this weeks lecture pod we go through a TedTalk on Art made of storms by Miebach (2011). During her talk she gives the audience a song which is made from the patterns of weather. Miebach (2011) transformed data into a physical model where she also translated into music and reports that visualisation of …
Category Archives: Lecture Pods
Week 7 Lecture Pod
Summary In this weeks lecture pod we learn about the beauty of data visualization by McCandless (2010). According to McCandless (2010), there is no point of data if they are not given meaning such as giving them more visuals and patterns to better understand them as the eyes are very sensitive to them and only …
Week 6 Lecture Pod
Summary In this weeks lecture pod, we go through three different videos which is what is data journalism, the history of data journalism and data journalism by The Guardian (2013). Data journalism is making stories out of data, it can be out of words or designing maps according to The Guardian (2013). At The Guardian …
Week 5 Lecture Pod
Summary In this weeks lecture pod we learn why graphs are used. Graphs are used to compare data but if done poorly can give off the wrong idea such as bubble graphs as shown below. The reason bubble charts are not that useful is because they are round and we are bad at perceiving areas. …
Week 4 Lecture Pod
Summary For this week’s lecture, it is a continuation of last weeks pod which delves into the use cases of data visualisation through history while this week conveys more reasons into visualising data and modern examples. Firstly, Visualising is used to help users from having to go through multiple line of data and figuring out …
Week 3 Lecture Pod
Summary In this weeks lecture pod we learn about the purpose of data visualisation and the historical uses of them. The purpose of visualising data is to make it easier and quicker for more viewers to understand what is happening. In addition, this can be used to help viewers compare and contrast data to then …
Week 2 Lecture Pod
Summary In this week’s lecture pod, we go through the different types of measurements in data visualisation. The types are: Nominal – Uses named categories which are inherently unordered. These are used to count and calculate percentages of each product while not being able to find the average between each of them separately. Ordinal – …
Week 1 Lecture Pod
Summary In this weeks lecture pod we learn about Data and data visualisation and what they are. Data can be thought as the measurement of information and knowledge which have been obtained and interpreted. Data Visualisation is simply making data more easily comprehensible and usable through organisation and visual means such as graphs to be …