{ggplot2}
create aesthetic mappings between data and plot
{dplyr}
return current group size
{dplyr}
keep specified columns
{ggplot2}
add layer of points to plot
{dplyr}
group data by levels of column
{tidyr}
pivot data frame to be wider
{dplyr}
select only unique/distinct rows from data frame
{tidyr}
pivot data frame to be longer
{readr}
parse a character vector to numbers
{dplyr}
keep rows based on values of columns
{tidyselect}
match column names that begin with string
{dplyr}
extract a single column
{base}
create vector of numbers, characters, etc.
{base}
return sample ranks of the values in a vector
{ggplot2}
scale x axis to be continuous
{base}
sum elements of vector
{dplyr}
summarize data usually by grouping variable
{ggplot2}
create a plotting area
{tibble}
create row-wise tibble
{base}
load R packages
{dplyr}
create or modify data columns
{lubridate}
return or set year component of a date-time
{ggplot2}
add layer of data lines to plot
The end!