Male mannequins by Pierre Imans, made by the sculptor Clovis Trouille, circa 1930-1940, Paris. More to see:Â godsandfoolishgrandeur
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Male mannequins by Pierre Imans, made by the sculptor Clovis Trouille, circa 1930-1940, Paris. More to see:Â godsandfoolishgrandeur

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Emotion and Tech(no)body Exhibition at Austrian Cultural ForumÂ
Illustration by Lee K. (@lee.k.illust)
Credit: Mark Anthony (@markanthonymydin)
Close up of 399 Days (2014), Rachel Kneebone at the V&A MuseumÂ

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Place (Village), Rachel Whiteread, V&A Museum of Childhood
The Childhood Cube (2000), Sarah Raphael at the V&A Museum of ChildhoodÂ
A bicycle graveyard in China
Different directions of the bikes creates both movement and texture. it almost has a painterly affect. A busy image united by dominantly yellow bikes.Â
Typography Ruined The Oscars’ Biggest Moment. This Guy Fixed It
Basically - why proper typography and a logical information hierarchy is importantÂ
Jil Sander, Campaign A/WÂ 2004/2005. Model: Lily Donaldson and Mathias Lauridsen, Photo: David Sims.
Her first solo exhibition (in a museum) ever: “Präsens”,  Museum fĂĽr Angewandte Kunst Frankfurt, until 6 May 2018.Â
What makes it pop? - High contrast of purple and pink huesÂ

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Databases: Tumblr Fandometrics
Tumblr Fandometrics is the result of our efforts to compile a database of Tumblr’s favorite entertainers and entertainments, and track the shifts in our users’ collective affection.Â
This blog is one of my favourite tumblrs as it religiously collects data on one of the most popular places on the internet - tumblr. It’s also a quick way to see what everyone else is into - and it find new fandoms to explore whenever I’m bored. It would be amazing to visualise such a data set as rankings change every week it reflects the fluctuating interest of popular culture.Â
The Simian by The Toy BuroÂ
vvvv - a multipurpose toolkit
Plot Lines by Johanna Kamradt, Christian Tate (click link to see picture enlarged) The 2011 Booker Longlist novels broken down by theme.Â
Reminiscent of a subway map, Kamradt creates a visually engaging and intuitive infographic. It combines two familiar types of data visualisations: pie charts and subway maps. It has clear colour attributions. Similar colours (such as light and dark blue) are kept separately from each other as to avoid confusion. The composition itself is well balanced. The eye is drawn more towards the themes piechart - as it should be since it is the purpose of the infographic. It is visually more imposing due to the negative spacing in the fanning our of the lines connecting the books to its relevant themes. However, a clear drawback is in the difficultly of reading the lines from book to theme due to the many intersections. The infographic fulfils its purpose as it clearly shows which themes are the most prevalent in Booker Longlist novels.Â
Similar Diversity by Philipp Steinweber and Andreas Koller Visual is based on the English translation of holy texts of five major religions: Christianity, Islam, Judaism, Hinduism and Buddhism. Evaluation of the text is done with VVVV (node-based programming tool) then visualised using Processing. 


The large arc visual shows the 41 most frequent characters from different Holy Scriptures and their communalities. The characters are aligned alphabetically on the x-axis. Their names’ and the arcs’ size is calculated from their total wordcount in all scriptures. According to that, characters which play a big role in several scriptures are displayed larger.The colored segments of the arcs are showing the frequency of the word resp. the character in the particular Holy Books.Below the names can be found bar charts which are breaking down the activities of the characters in detail. The verbs are gained by filtering them out of the texts, technically each verb straight after a character’s name is taken. In case of the word order "God loves" the verb "loves" is referred to the charcter’s name "God". The hight of the rows and the font size show the frequency of particular activities. The numerous arcs connecting the names in the upper part of the visual symbolize similarities of the activities assigned to a character pair. An algorithm calculates the according activities of every couple. Based on these results, the different stroke sizes and shades of grey are calculated.
The creator’s intention for this visualisation is for the viewers should be inspired to think about own prejudices and current religious conflicts. Since the visualisation is created objectively - the scriptures processed by a program, structured in an alphabetical manner - it takes out the faith component of religion itself. It forces viewers to look at the bare text of these scriptures themselves and find the commonalities between these five major religions. This is reflected in the title itself - Similar Diversity.
This infographic is effective not only due to its objectivity, but its intuitiveness. The familiarity of pie chart and bar chart elements in the coloured arches and blocks below it makes it easy to read. The clear differences in colour used adds to this readability. However, the overarching, grey arches are not as easily understood. Without an explanation, the function of these arches are not clear. Yet, this aside, this infographic is a refreshing take on data concerning religion.

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