Schedule

• 8:30 - 9:00 [BB] joining data wk05_joining with functions from dplyr

• 9:00 - 9:45 [NT] visualization Intro

• 9:45 - 10:00 break

• 10:00 - 10:15 [NT] case study Slides
• 10:15 - 11:30 [NT] ggplot2 Examples

Assignments

• See New Assignment Github Workflow | wk05_joining.

Joining Data (Individual)

• See Individual Assignment wk05_ggplot | wk05_joining.

Visualizing Data (Group)

• Submit 2 plots: one based “thin” data set; the other based on data of interest to your group; utilize some of the features from ggplot2 presented in class.
• Link to files clim.csv clim and thin.csv thin
• Meta data on thin.csvmeta

Resources

Data Wrangling with dplyr & tidyr:

• Data Wrangling (dplyr, tidyr) cheat sheet
• wrangling-webinar.pdf

Visualizing with ggplot2:

• A Simple Introduction to the Graphing Philosophy of ggplot2 | R-bloggers
• Grammar of Graphics | Introduction to R
• Wickham, H (2010) A Layered Grammar of Graphics. Journal of Computational and Graphical Statistics

• [15 Data Visualizations That Will Blow Your Mind

  Udacity](http://blog.udacity.com/2015/01/15-data-visualizations-will-blow-mind.html)

• [Improving R Data Visualisations Through Design

  Spatial.ly](http://spatial.ly/2014/11/r-visualisations-design/)

• Inkscape - open-source vector graphics editor to spruce pdf plot outputs like above