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Martin Burger and Emilee McWilliams

One of the best ways to analyze data is visually. It takes a fraction of a second to create connections and see patterns. Data Visualization is one of the best ways to sum up hundreds, thousands, even millions of data points at a glance.

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What's inside

Four courses

Creating Visualizations Using Base R Graphics

(0 hours)
This course teaches how to create visualizations for various datasets using Base R Graphics. From bar charts to histograms and line plots, you'll make an impact quickly in businesses and organizations.

Creating Visualizations in R Using ggplot2: R Playbook

(1 hours)
This course teaches how to create visualizations for various datasets, including box plots, bar charts, scatter plot matrices, and geographic maps.

Formatting ggplot2 Visualization Elements in R

(2 hours)
Use the popular ggplot2 visualization library to fine tune your charts. Focus is on color palettes, axes and scales, as well as plot themes.

Annotating ggplot2 Visualizations in R

(2 hours)
Learn how to annotate ggplots to enhance clarity. Add text, labels, shapes, and lines to your visualizations. Master ggplot legends for clear variable identification.

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