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Module 5
Publication-Quality Data Visualization
1
Grammar of Graphics Fundamentals
Describe the Grammar of Graphics (data, aesthetics, geoms).
2
"Crafting Visualizations with `ggplot2`"
Create scatter plots, line plots, and bar charts using `ggplot2`.
3
Visualizing Distributions
Visualize distributions with histograms, density plots, and box plots.
4
Enhance Plot Aesthetics with `labs()` and `theme()`
Customize plot titles, labels, and overall appearance using `labs()` and `theme()`.
Mastering Aesthetic Scales
Control aesthetic mappings like color and fill using scale functions.
Multi-Panel Plots with `facet_wrap()` and `facet_grid()`
Create multi-panel plots using `facet_wrap()` and `facet_grid()`.
7
Saving Plots with `ggsave()`
Save plots for publication in various formats using `ggsave()`.
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Data Reshaping and Functional Programming
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Reproducible Reporting with R Markdown