Database Reference
In-Depth Information
How to be discriminating with the data you choose to present
How to define metrics that are meaningful and lead to action
How to create a logical structure and narrative flow to your data
products
How to master basic design skills for making your data presentations
attractive and easy to understand, including choosing the right form
and language to present the data
How to create data products that meet the needs of multiple constitu-
ent groups and start a dialogue about the data
Before diving into this set of skills, we first want to propose a helpful approach
you can bring to designing data products.
GUIDED CONVERSATIONS
People working in the data analytics field believe in the importance of visual
data presentation and the concept of data storytelling . There are core truths
in the concept of data storytelling. First, data communication has an ability to
both create and resolve tension. That is, data products often pose a problem
and then deliver an insight that helps address the problem. Second, the author
is an active participant in the exchange of information. The author sets a path
that the audience goes down.
Nonetheless, we feel that the concept of data storytelling has gotten a little
overloaded. For example, consider comments like the following:
All of this data visualization is, of course, really just a new way to tell stories
(or create experiences).
Garrick Schmitt, Ad Age
The author of this visualization experimented with different views and arrived
on the two that told the story most completely, most effortlessly.
From Data to Story: Dissecting a Well-Made Visualization
In fact, the analogy to storytelling is limited when applied to communicating
with data. Data visualization has fundamental characteristics missing from tra-
ditional storytelling. For example, interactive data visualizations let audiences
explore information to find insights that resonate with them. Visualizations
Search WWH ::




Custom Search