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@@ -31,20 +31,20 @@ By the end of the chapter, readers will be able to do the following:
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- bar plots
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- histogram plots
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- Given a data set and a question, select from the above plot types and use R to create a visualization that best answers the question.
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- Given a visualization and a question, evaluate the effectiveness of the visualization and suggest improvements to better answer the question.
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- Evaluate the effectiveness of a visualization and suggest improvements to better answer a given question.
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- Referring to the visualization, communicate the conclusions in non-technical terms.
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- Identify rules of thumb for creating effective visualizations.
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- Define the three key aspects of ggplot objects:
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- aesthetic mappings
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- geometric objects
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- scales
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- Use the `ggplot2` package in R to create and refine the above visualizations using:
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- geometric objects: `geom_point`, `geom_line`, `geom_histogram`, `geom_bar`, `geom_vline`, `geom_hline`
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- scales: `xlim`, `ylim`
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- aesthetic mappings: `x`, `y`, `fill`, `color`, `shape`
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- labeling: `xlab`, `ylab`, `labs`
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- font control and legend positioning: `theme`
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- subplots: `facet_grid`
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- Define the three key aspects of `ggplot2` objects:
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- aesthetic mappings
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- geometric objects
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- scales
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- Describe the difference in raster and vector output formats.
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- Use `ggsave` to save visualizations in `.png` and `.svg` format.
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