In BAREJAA/reactivity: This package provides a way to generate introductory dplyr and ggplot2 presentations using user-supplied tidy datasets

library(tidyverse)

#Load datasets we will use for the lecture
source(here::here("code", "healthcare.R")) #loads dataset-specific variables

Lets take a glimpse at our dataset called heart

Basics of a ggplot code

Below is an example of the most basic form of the ggplot code

ggplot(data)+ #this will generate a blank plot for your data. At this point, ggplot knows what to plot, but not how.
  geom(mapping=aes(x, y)) #adding a geom tells ggplot how you would like to map your data

Take a moment to use this template to make a simple ggplot. The data heart is defined, but you can choose the variables you want to map to x and y. Add a second geom.

Put your code in the code chunk here, with LOCAL variables for each geom; run it by clicking the green arrow.

Put your code in the code chunk here, with GLOBAL variables for each geom; run it by clicking the green arrow.

The geoms are hierarchical, so they will inhert the data from the step above, unless you specficy differently.

BAREJAA/reactivity documentation built on April 16, 2020, 6:57 p.m.