  Selecting the appropriate visual presentation of the data such that it
preserves the semantics of the underlying data and at the same time provides an
intuitive summary of the data is an important, often the final step of data
analytics. Unfortunately, this is also a step involving significant human
effort starting from selection of groups of columns in the structured results
from analytics stages, to the selection of right visualization by experimenting
with various alternatives. In this paper, we describe our \emph{DataVizard}
system aimed at reducing this overhead by automatically recommending the most
appropriate visual presentation for the structured result. Specifically, we
consider the following two scenarios: first, when one needs to visualize the
results of a structured query such as SQL; and the second, when one has
acquired a data table with an associated short description (e.g., tables from
the Web). Using a corpus of real-world database queries (and their results) and
a number of statistical tables crawled from the Web, we show that DataVizard is
capable of recommending visual presentations with high accuracy. We also
present the results of a user survey that we conducted in order to assess user
views of the suitability of the presented charts vis-a-vis the plain text
captions of the data.
