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Quality in Information Delivery Part 2:
Common Mistakes in Information Expression (Line Charts & Data with Irregular Time Gaps)
October 2010
Michael Scofield

As we noted in Part 1 of this series, 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. The result is almost always a tabular and/or graphical expression.

To be useful, such information expressions must not be misleading or vague. Data quality across an enterprise cannot be complete without addressing the quality of the expression of information.

Our first article in this series focused on common errors in the use of Pie Charts. This installment will focus on Line Charts.