Part 2: Diving Deeper into Data Visualization with R

Slides

We recommend that you open the html slides with Google Chrome web browser.

1. Review of Grammar of Graphics
2. Making maps
3. Getting your plots
   to talk back
4. Determining the best plot design

Schedule

Time	Activity
1.30-2.00	Lesson 1: Check your ggplot2 knowledge
2.00-2.15	Break out session
2.15-2.45	Lesson 2: Making maps
2.45-3.00	Break out session
3.00-3.30	Coffee Break
3.30-4.00	Lesson 3: Getting your plots to talk back
4.00-4.15	Break out session
4.15-4.45	Lesson 4: Determining best plot design
4.45-5.00	Break out session + Conclusion

Data

Download the folowing data for the exercises:

• melb_lga_covid.csv
• VIF2019_Population_Service_Ages_LGA_2036.xlsx
• oz_map.rda
• platypus.rda
• TB_notifications_2020-07-01.csv

Exercises

Before getting started, you will need to install the following R-packages:

install.packages(c( 'tidyverse',
                    'ggthemes',
                    'ggmap',
                    'leaflet',
                    'lubridate',
                    'plotly',
                    'gganimate',
                    'nullabor',
                    'ozmaps',
                    'sf',
                    'cartogram',
                    'gapminder',
                    'datasauRus',
                    'viridis',
                    'maps',
                    'here',
                    'transformr',
                    'mapproj'))

1. Review of Grammar of Graphics Rmd html solution Rmd html solution

2. Making maps Rmd html solution Rmd html solution

3. Getting your plots to talk back Rmd html solution Rmd html solution

4. Determining the best plot design Rmd html solution Rmd html solution