Visual Rhetoric. This section of the OWL discusses the use of rhetorical theory and rhetoric as it relates to visuals and design. "Visual rhetoric" has been used to mean anything from the use of images as argument, to the arrangement of elements on a page for rhetorical effect, to the use of typography (fonts), and more. While we cannot hope to cover these and many other topics in depth in this resource, it will be possible for us to look at some of the common visual rhetoric problems encountered by student writers: the text elements of a page (including font choices), the use of visuals (including photographs, illustrations, and charts and graphs), and the role of overall design in composing a page rhetorically.
Note: Much of the current use of "visual rhetoric" is directed at analyzing images and other visuals that already exist. This handout is meant to help you generate visual material. What is visual rhetoric? Image Caption: Visual Literacy For more information: Entretien avec J. Bertin. 8principles. Guidelines. 8 hats. Last week I posted a slideshare version of my slides from a recent pair of presentation events in Chicago. The title of this talk was “The 8 hats of data visualisation”. In this article I want to follow up these slides with a written accompaniment to contextualise and explain what I was presenting, as slides alone don’t really manage to achieve this effectively. Ever since I discovered data visualisation I have been intrigued by the many different subject areas and disciplines that contribute to its unique mix of art and science.
This convergence of different ingredients introduces a wonderful richness and variety of concerns but can equally present quite a challenge for people looking to master the subject. As the field continues to increase in popularity and exposure, penetrating more into the mainstream, and as data resources and technological capabilities continue to enhance at incredible rates, the opportunities and challenges similarly increase. June 26th, 2012 in critique. Data journalism. The new punk | This is a chord… this is another… this is a third. NOW FORM A BAND So went the first issue of British punk fanzine Sideburns in 1977 in the "first and last part in a series".
It might be 35 years old, but this will do nicely as a theory of data journalism in 2012. Why? Arguably punk was most important in its influence, encouraging kids in the suburbs to take up instruments, with little or no musical training. Crucial to it was the idea: anyone can do it. Is the same true of data journalism? Now is the time to examine this - in May 2010, we published this piece on how reporters would soon be flooded with a "tsunami of data". There are even different streams now - short-form, quick-and-dirty data visualisations of the kind we do every day on the Datablog, right through to complex investigations and visualisations - such as our riots data analysis or the kind of projects which made the shortlist of the Data Journalism Awards, from around the world. 1) This is a dataset 2) Here's another.
Quatre voies du datajournalism. Le datajournalism ou journalisme de données, peut difficilement se résumer à un type de contenus ou à un type de démarche. Il requiert des compétences spécifiques, selon l'usage qui en est fait. J’ai eu l’impression, ces derniers jours, de répéter plusieurs fois la même chose à des personnes différentes (ce qui est un vrai plaisir quand il s’agit de datajournalism). D’où l’idée d’articuler ici ces quelques éléments récurrents. Photo CC par Ian-S sur Flickr Finalement, le datajournalism ou journalisme de données, peut difficilement se résumer à un type de contenus ou à un type de démarche. J’ai identifié quatre dimensions, et pour chacune les compétences nécessaires à sa mise en œuvre : 1-COMPRÉHENSION : le datajournalism permet de mieux comprendre le monde.
Pour cette visualisation des succès au box office américain depuis 1986, l’équipe du nytimes.com a particulièrement travaillé sur la forme des courbes, et leur couleur. Le datajournalism, c’est de la visualisation d’information. How To Create Infographics. In this tutorial you will learn that data doesn't have to be boring, it can be beautiful! Learn how to use various graph tools, illustration techniques and typography to make an accurate and inspiring infographic in Adobe Illustrator. Start by using the Rectangle Tool (M) to draw a shape. Give it a subtle radial gradient too. The entire design is based on a grid of four columns.
Condense the shape so it fits within the left-most guide and centre guide. Move the shape over to the right and add another guide to the centre here. Using the Rectangle Tool (M) draw a thin white box on the centre line that will be the width of the gap between the columns. Repeat the process for the other columns with your final result being below. I like to place the most important graphics first and work-in the ancillary charts and graphs afterwards. Early on you can experiment with placing a main graphic that will help give the piece some visual interest. Give the circles a variety of gradients. That's it! Templates | GraphicRiver.