Database Reference
In-Depth Information
Yet data is a relatively new language for most people. The goal of data literacy,
like reading literacy, is to develop control over surface-level comprehension
so the reader “can focus on understanding the deeper levels of meaning
embedded in the text.” 1 It takes time to move from the grasp of individual
vocabulary to the instantaneous internalization of meaning. It is a worthwhile
journey because this new language of data is useful for interpreting your
world. It can be argued that data will become a new lingua franca, that is, a
language systematically used to facilitate communication possible between
people not sharing a mother tongue. 2
In Chapter 4, which focuses on element 1, you can see that it takes more than
a solitary listener to give meaning to your data. It takes an educated audience
that appreciates the nature of the data presented, knows core data concepts,
can find insights in data presentations (both simple tables and advanced
charts), and—like the movie critic—sets high expectations.
ELEMENT 2: DATA FLuENT PRODuCERS
Not always, but too often, authors of data communications forsake their
role. You've certainly been witness to the results: raw data tables delivered
as “reports”; long PowerPoint presentations with slide after slide of repetitive
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