Data can be any words, numbers, images or sounds without a context – in other words in their raw form.
- Data can be misleading because of the way it is visualised. Visualisations may include charts, graphs, plots, maps, tables…etc. Some visualisations are confusing. Others are a deliberate attempt to trick us
- Samples may be too small or biased
- Data for one time may be presented without taking into account changing trends or simply be out of date (e.g. data from the last UK census, which is commonly used for academic research purposes, is only updated every ten years)
- Correlation (two data sets showing a similar trend over time) may be confused with causation (the reason why a trend occurs)
Share your experiences and any tips for how you dealt with it in the comments below.Have you ever found data, or data visualisations, to be confusing, misleading or inaccurate?
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