1. How do wrong chart types confuse viewers?
Wrong chart types hide patterns and weaken comparisons, which makes trends unclear and reduces trust in the information shown.
2. Why do colours matter in Data Visualization?
Colours guide attention and define groups, so poor colour choices blend categories and make the chart harder for viewers to read.
3. What happens when scales are changed unfairly?
Unfair scales exaggerate small differences and distort trends, which mislead viewers and create a false picture of the data.
4. Why is missing context a problem in charts?
Missing titles, labels, or sources leaves viewers unsure about the meaning, which limits understanding and weakens the chart’s message.
5. How does clutter affect a chart’s clarity?
Cluttered visuals hide the important pattern and add noise, which slows understanding and reduces the strength of the message.