私醫聯招 英文歷屆試題｜第 578 題

Faced with an  (26)  torrent of information, data scientists use visual aids to make sense of big data. This combination of numbers with art is often called “data visualizations.” Nevertheless, it can 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 the data deluge. For example, by presenting data with color cues, data scientists make specific data more  (29)  than the rest, but when looking at the raw materials, we may find the colored part does not stand out from the rest. Also, using structural cues can be misleading in the way that with different  (30)  on the x or y-axes, it can create other effects, though the original data are the same.