Quality in Information Delivery Part 4:
Definitions, Conditions, and Footnotes
At the start of this series, we noted that proper data expression is required to highlight potentially useful information. Such data expression is achieved by transforming raw data from digital media into a form that humans can read and understand.
Our first article focused on common errors in the use of Pie Charts, while our second installment explored data expression errors with Line Charts. The third article described misleading uses of color, the challenges to the reader when dimensions are presented inconsistently, and the unreadable nature of MS Excel chart defaults.
This article explains the importance of documenting and including the data provenance of any information that is presented to decision-makers.