# install.packages("esquisse")
library(esquisse)
Esquisse Package
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
Using the esquisser() function you can start creating a plot for a data.frame or tibble. That’s it!
esquisser(mtcars)
Show the plot in the browser
esquisse::esquisser(iris, 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.
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.
Change plot type
esquisse automatically assumes a plot type, but you might want to change this.
Add Facets
Facets create multiple plots based on the different values of a variable.
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
For plots with points use the color region to change coloring according to a variable. (use “fill” for bar plots)
Appearance
You can change the overall appearance with the appearance tab.
Smooth Lines
Especially when you have a scatter plot, it can be helpful to add a smooth/trend line.
Change titles
To change titles on your plot, use the titles tab.
View data
You can also easily view data
Interrupting Esquisse
You’ll need to “interrupt” Esquisse to launch it with a new dataset.
Use the stop button or press ctrl+c to stop the Esquisse app.
Wide & Long Data Example
wide_circ <- read_csv("https://hutchdatascience.org/SeattleStatSummer_R/data/Charm_City_Circulator_Ridership.csv")
## Rows: 1146 Columns: 15 ## ── Column specification ──────────────────────────────────────────────────────── ## Delimiter: "," ## chr (2): day, date ## dbl (13): orangeBoardings, orangeAlightings, orangeAverage, purpleBoardings,... ## ## ℹ Use `spec()` to retrieve the full column specification for this data. ## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Wide Data
library(dplyr) glimpse(wide_circ)
## Rows: 1,146 ## Columns: 15 ## $ day <chr> "Monday", "Tuesday", "Wednesday", "Thursday", "Friday… ## $ date <chr> "01/11/2010", "01/12/2010", "01/13/2010", "01/14/2010… ## $ orangeBoardings <dbl> 877, 777, 1203, 1194, 1645, 1457, 839, 999, 1023, 137… ## $ orangeAlightings <dbl> 1027, 815, 1220, 1233, 1643, 1524, 938, 1000, 1047, 1… ## $ orangeAverage <dbl> 952.0, 796.0, 1211.5, 1213.5, 1644.0, 1490.5, 888.5, … ## $ purpleBoardings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ purpleAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ purpleAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ greenBoardings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ greenAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ greenAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ bannerBoardings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ bannerAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ bannerAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ daily <dbl> 952.0, 796.0, 1211.5, 1213.5, 1644.0, 1490.5, 888.5, …
Long Data
library(tidyr)
long_circ <- wide_circ %>%
pivot_longer(
cols = contains(c("boarding")),
names_to = "Route",
values_to = "Boardings"
)
Long Data
glimpse(long_circ)
## Rows: 4,584 ## Columns: 13 ## $ day <chr> "Monday", "Monday", "Monday", "Monday", "Tuesday", "T… ## $ date <chr> "01/11/2010", "01/11/2010", "01/11/2010", "01/11/2010… ## $ orangeAlightings <dbl> 1027, 1027, 1027, 1027, 815, 815, 815, 815, 1220, 122… ## $ orangeAverage <dbl> 952.0, 952.0, 952.0, 952.0, 796.0, 796.0, 796.0, 796.… ## $ purpleAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ purpleAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ greenAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ greenAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ bannerAlightings <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ bannerAverage <dbl> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, N… ## $ daily <dbl> 952.0, 952.0, 952.0, 952.0, 796.0, 796.0, 796.0, 796.… ## $ Route <chr> "orangeBoardings", "purpleBoardings", "greenBoardings… ## $ Boardings <dbl> 877, NA, NA, NA, 777, NA, NA, NA, 1203, NA, NA, NA, 1…
Make a plot of boardings by day for different routes
esquisser(wide_circ) # days as x...? Tricky! esquisser(long_circ) # day as x, Boardings as y, Route as fill
Summary
- Use the
esquisser()function on a dataset - Use the
viewer = "browser"argument to launch in your browser. - Code from Esquisse can copied into code chunks to be generated in the “Plots” pane
- It’s easier if your code is in “long” form!