1) Bar Graphs: If you clump certain data together, or not use the right axes incrementation, you can alter the data to be more in your favor. You will have researcher bias all over your paper.
2) Line Graphs: You can change the order of the X axes in order to make a trend that isn't actually apparent within the data. Line Graphs are great for trends and are also great for making up trends that don't exist whatsoever.
3) Pictures: Pictures are great visualization techniques that a researcher can use in order to visually represent the experiment they are conducting. However, research bias can be apparent, the researcher could possibly not take an accurate picture of what they "should" take a picture of, or they could simply alter the pictures to their own liking.
4) Animations: Animations are excellent ways that a researcher can visually represent how a process OCCURS, however, they could insert researcher bias by not including the correct animations. Animations are obscure as they allow a researcher to do as they please.
2) Line Graphs: You can change the order of the X axes in order to make a trend that isn't actually apparent within the data. Line Graphs are great for trends and are also great for making up trends that don't exist whatsoever.
3) Pictures: Pictures are great visualization techniques that a researcher can use in order to visually represent the experiment they are conducting. However, research bias can be apparent, the researcher could possibly not take an accurate picture of what they "should" take a picture of, or they could simply alter the pictures to their own liking.
4) Animations: Animations are excellent ways that a researcher can visually represent how a process OCCURS, however, they could insert researcher bias by not including the correct animations. Animations are obscure as they allow a researcher to do as they please.
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