In previous weeks we have looked at data in numerical or even alphabetical form, and I think we got a lot out of that information such as trends as well as what data is out there, where and how to get it. However a lot of data is very boring to look at and very long. This means, in particular for humanities data it looses a lot of its feeling and understanding. This week we looked at tools that can take in data and then churn it out in one of the visualisations, and how much customisation we can do like in Plotly and Raw. Examples like Mapping Police Violence and The Preservation of Favoured traces utilise movement and colour to very effectively and viscerally portray data. Mapping Police Violence had data points pop up like gun shots, and the rate at the changes of The Origin of the Species physically showed the theme of the progress of science. I thought these were really fascinating examples and summed up what we were trying to identify and explore in the class. Although I am more interested in mapping for my project I gained from the class that some visualisations match some data better, which can help me in selecting visual components for my project.
Here is my stacked bar graph using plotly rather than QueryPic