@@ -152,6 +152,14 @@ Layouts can drastically change the appearance of networks, making them easier or
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Here are 3 network graphs from the same data. They look very different from each other.
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Data from: [ Li et al., 2022, BioRxiv] ( https://www.biorxiv.org/content/10.1101/2022.07.04.498697v1 )
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+ Here is 9 different layouts for the _ same_ network. They can look very different.
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+ ![ Different layouts] ( https://github.com/cxli233/FriendsDontLetFriends/blob/main/Results/network_layouts.gif )
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+ The R script to make this animation is available [ here] ( https://github.com/cxli233/FriendsDontLetFriends/blob/main/Scripts/Animated_networks.Rmd )
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+ ![ Different layout of the animation] ( https://github.com/cxli233/FriendsDontLetFriends/blob/main/Results/Different_layouts.png )
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# 9. Friends Don't Let Friends Confuse Position-based Visualizations with Length-based Visualizations
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This is always the elephant in the room and the essence of many misleading visualizations.
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These are very distinct tasks in data visualization.
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In this hypothetical experiment, we had blueberry plants assigned to two groups.
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- One group was the control; the other was treated with a chemical to make fruit development faster.
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- Each group had 5 plants. The response of the treatment was divided into 3 categories:
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+ One group was the control; the other was treated with a chemical to make fruit development faster.
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+ Each group had 5 plants.
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+ The response of the treatment was divided into 3 categories:
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light green fruits, light blue fruits, and dark blue fruits.
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100 fruits from each plant were examined and the number of fruits in each category was counted.
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The percentage of fruits in each category was calculated and reported.
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