Passage 2       Faced with an  (26)   torrent of information, data scientists use visual aids to make sense ofbig data. This combination of numbers with art is often called "'data visualizations." Nevertheless, itcan easily be  (27)  to twist public opinion to benefit specific communities or advocate groups.The problem is that we tend to trust images more than words, which is why we get  (28)   in thedata deluge. For example, by presenting data with color cues, data scientists make specific datamore  (29)  than the rest, but when looking at the raw materials, we may find the colored partdoes not stand out from the rest. Also, using structural cues can be misleading in the way that withdifferent  (30)   on the x or y-axes, it can create other effects, though the original data are thesame.
【題組】26.
(A) unconsecrated
(B) undereducated
(C) unprecedented
(D) unsympathetic