Esquisse Package

# install.packages("esquisse")
library(esquisse)

Esquisse Package

The esquisse package is helpful for getting used to creating plots in R.

It is an interactive tool to help you in RStudio.

It’s super nifty! starting a plot

First, get some data..

We can use the CO heat-related ER visits dataset. This dataset contains information about the number and rate of visits for heat-related illness to Emergency rooms in Colorado from 2011-2022, adjusted for age.

er <-
  read_csv("https://jhudatascience.org/intro_to_r/data/CO_ER_heat_visits.csv")

head(er)
## # A tibble: 6 × 6
##   county  rate lower95cl upper95cl visits  year
##   <chr>  <dbl>     <dbl>     <dbl>  <dbl> <dbl>
## 1 Adams   6.73     NA         9.24     29  2011
## 2 Adams   4.84      2.85     NA        23  2012
## 3 Adams   6.84      4.36      9.31     31  2013
## 4 Adams   3.08      1.71      4.85     15  2014
## 5 Adams   3.36      1.89      5.23     16  2015
## 6 Adams   8.85      6.12     11.6      42  2016

Starting a plot

Using the esquisser() function you can start creating a plot for a data.frame or tibble. That’s it!

esquisser(er)

starting a plot

Show the plot in the browser

esquisse::esquisser(er, viewer = "browser")

Select Variables

To select variables you can drag and drop variables to the respective axis that you would like the variable to be plotted on.

select variables

Find code

To select variables you can drag and drop variables to the respective axis that you would like the variable to be plotted on.

select variables

Change plot type

esquisse automatically assumes a plot type, but you might want to change this.

change plot type

Add Facets

Facets create multiple plots based on the different values of a variable.

add facets

Add size

Sometimes it is useful to change the way points are plotted so that size represents a variable. This can especially be helpful if you need your plot to be black and white.

add color

Add color

For plots with points use the color region to change coloring according to a variable. (use “fill” for bar plots)