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  2. Discuss why data visualization is important for conveying not only objective data, but the implications of those data, and interpreting results.

Discuss why data visualization is important for conveying not only objective data, but the implications of those data, and interpreting results.

Discuss why data visualization is important for conveying not only objective data, but the implications of those data, and interpreting results.

How could a researcher in this area present information to yield the conclusion they want, even if the data does not support it? In your discussion, address axis scales, axis directions, and other areas of possible bias.
explain if there is any presentation that truly removes all bias?

Material
Dunn, Lisa (2020). How to Transform Boring and Dry Reports with Data. Retrieved from: https://visme.co/blog/business-intelligence-visualization
Gaslowitz, Lea. (2017). How to spot a misleading graph [Video file]. Retrieved from https://www.youtube.com/watch?v=E91bGT9BjYk (4:09)


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