Charts and graphs can be a valuable tool, as mentioned earlier, but they can also carry a sense of authority that overshadows the reality that data visualizations or non-visual presentations can be manipulative (see the margarine-and-divorce-rates example above). This is because data is often seen as a fixed source of truth, yet the presentation of data is in fact subjective, largely dependent on who’s interpreting it and how. While data visualization can help identify trends, patterns, or outliers in datasets, it can rarely be used for full analysis and interpretation by itself.
from Planet SciPy
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