A customer may move and get married; using an old address or marital status after a life change is a common example of data distortion that will erroneously impact a customer record if the information is not updated.
- What is an example of misinterpretation of data?
- What is an example of bad data visualization?
- What causes distortion in data visualization?
- What is an example of a misleading graph?
What is an example of misinterpretation of data?
For example – If I have data for ice cream sales and discounts on cornflakes. Even if they show a positive correlation we cannot conclude that the discounts led to increase in sales of ice cream.
What is an example of bad data visualization?
Using the wrong graphs/charts for their particular purpose. Not making the best use out of colors. Creating misleading graphs/charts. Trying to incorporate too much information in one graph.
What causes distortion in data visualization?
The distortion caused by poor axis scaling is a by-product of the way we read visualizations. Axis labels require conscious attention to interpret: We have to actively read these numbers to make sense of them. However, when we look at a visualization, we form the gist of a visual scene unconsciously.
What is an example of a misleading graph?
Pie chart. Comparing pie charts of different sizes could be misleading as people cannot accurately read the comparative area of circles. The usage of thin slices, which are hard to discern, may be difficult to interpret. The usage of percentages as labels on a pie chart can be misleading when the sample size is small.