Editor's note: This #TableauDesignMonth guest blog post was written by Giorgia Lupi of Accurat.
Information Design is playing an increasingly critical role in every project that uses data and quantitative information to communicate facts or stories, and more and more data visualizations can be compound, rich and multi-layered.
In our view, to be a designer you have to find new ways to attract people's attentions through new languages, new products and new solutions that besides being functional, accurate and appropriate must be magnetic and surprising.
At Accurat, we create data visualizations and interactive analytical tools; we really tend to never start from so-called “visual standards” when we visualize data; we never start by listing the possibilities that we have, or by seeing what the tools we use can easily create. We like to design very customized pieces - every time - exploring how these analytical representations can be beautiful and pleasant - while of course keeping the accuracy of the data analysis intact and clear.
I am responsible for the design direction at Accurat, and most of the time I am supposed to come up with design ideas for our data visualization projects. Over time, I have developed my own method for doing so: what I always do when I start every kind of project is to allow myself to have the time it takes to get truly inspired by the world around me - while keeping the “brief” in mind.
Every day I spend a great amount of time looking for visual inspiration, and carefully and maniacally organizing those different kind of images I find on Pinterest (that is my tool for that - http://www.pinterest.com/giorgialupi/)
(And I love doing it! It really gives me a compulsive pleasure!)
This technique is important not only for amusement but as a necessary practice that can be suggested to any kind of designers: It is very important to keep a curious and critical eye on everything that strikes your attention, and to understand why it acted as a constant resource for inspiration and for transferring what we like / visually speaking / into our visual taste.
Looking for clues in unusual contexts can definitely be described as an attempt to discover and dissect the aesthetic qualities of all the things that we naturally like, in order to be able to abstract them and introduce them as core principles and guidelines in building visual compositions.
I ask myself the questions: “What is it that I like of what I see? What elements, aspects and features do I appreciate and why?”
What I then do, every time, whether I have a project in mind or not, is I draw what I see, I re-trace what I like of what I see, and I see drawing as a tool for capturing ideas, for showing an idea you already defined, but it’s infinitely more powerful to help that idea take shape.
I see design as a way to translate a structural concept for a specific audience, through a specific medium; design for me is also the process of visual planning and organizing the choices made along the way of a project, given its specific boundaries.
Drawing becomes design when you start tracing lines that help you rationalize what you think and envision as a possible solution.
Specifically, in designing data visualizations, I think a very common approach is to start with the tools we can produce, and maybe also from what we feel comfortable in doing with these tools - but I think that none of us wants to be driven by this!
The fact then that since I can't have data on paper when I am sketching what comes to mind and designing a data visualization, I feel that it is very helpful to explore visual features and visual aggregations that start exactly from what you have in mind, and that can serve to open questions on the data itself. I see this as a shortcut from your head to the final piece of data visualization.
While designing data visualizations there are normally three distinct phases for me in my design process:
- A first phase when I am interested in the main macro categories of data we are analyzing (i.e. the kind of topics we are talking about, the eventual correlations and the number of elements we might have: such if they are fifty or five hundreds). In this phase I am mainly interested in understanding the macro categories to start sketching first visual possibilities about the macro organization of the layout - the “architecture” of the visualization.
- Then a second phase where I just focus on the singular elements, the entry points that we have, to figure out which shapes, colors, features we might invent to better represent them according to the type of variables we have, and to maybe see if we can get some macro-groups / underlying categories.
Here is the phase where before even getting digital I need to have a drawing that visually can sum up of all the choices that we’ve made, only in this way I can feel ok about the project.
- To conclude I would generally have a final phase where I would structure what I’d expect to finally create, not in illustrator (digital format), but on paper. This stage is when we’re pretty sure that we can go ahead with the visual models we've designed (or that we've re-designed...), and I would refine the sketch before getting digital to have everything in the same place, to have a draft piece that can be easily sharable with clients for quick feedbacks and comments.
Of course I’m describing only the very first part in a longer process that also involves the execution part and most of the time also the software development process (because – in real life – not all of the clients unfortunately are ok with buying only sketches from you...); this process is also not always as linear as I described it, but what I wanted to point out with it is really the approach we try to keep every time.
And coming back to data visualization, I think that it is valuable to try to embrace this indeterminism: These open possibilities that derive from free visual explorations, without the boundaries that you can have while drawing and while having the data only in your mind, to shape a visual understanding of those data, to open mental spaces, and to allow unusual connections to be made.
Ryan Sleeper is the Director of Data Visualization & Analysis at Evolytics in Kansas City, Missouri. Ryan is the founder and leader of the Kansas City Tableau User Group, a Tableau Conference speaker, and 2013 ...
from Andy Cotegreave of Gravyanecdote.com - Nov. 25th 2014
Editor's note: As part of Tableau Design Month - Part 2 we are excited to have Tableau's social media manager, blogger (GravyAnecdote.com) and all round data viz guru Andy Cotegreave contributing this guest blog post for us.
Figure 1 US Fatalities dashboard ...
At this year’s Tableau Conference in Seattle, I held a session called Pimp My Viz. Here’s the teaser for it:
In the session, I took a few audience-submitted vizzes and “pimped” them, just as Xzibit would do on the MTV classic, Pimp My Ride. We added a lot of interactivity, custom visuals, embedded content, and other things ...
from From Dwight Worley of The Journal News/LoHud.com - Nov. 20th 2014
Editor's note: As part of Tableau Design Month - Part 2 we are excited to have Dwight Worley from The Journal News/LoHud.com contributing this guest blog post for us.
I have been a Tableau Desktop user for about 18 months, using a free copy of the software I ...
Editor's Note: It's Design Month at Tableau Public and we are thrilled to have this guest blog post from our Iron Viz Champion: John Mathis. John is a Information Management & Analytics Consultant at Slalom and blogs as The Datographer.
How complex was ...
“Good design never goes out of fashion” -Holger Nielsen
With that in mind November is #TableauDesignMonth – part 2!
Good design is central to data visualization; a brilliantly designed visualisation lets people engage with your data, while a poorly ...
We're wrapping up #VizTheVote politics month with a collection of visualizations we hope will inspire you to dig deep into political data and share your findings with the world with Tableau Public. Whether it's for a local town election or a national race, visualizations that showcase new insights can help digitally engage an ...
For #VizTheVote month I wanted to take a closer look into what has arguably been one of the biggest political events this year in the UK – the Scottish independence referendum (the outcome: on 18 September 2014 Scotland voted ‘No’ and chose to remain part of Great ...
from Jim Miller of The Sacramento Bee - Oct. 29th 2014
Editor's note: a huge thanks to Jim Miller of The Sacramento Bee for contributing this guest blog post.
California’s campaign season might seem a little sleepy from the perspective of people in other states. There are no hot-button U.S. Senate ...