starwars
The examples below make use of the starwars
and storms
data from the dplyr
package
# some example data data(starwars, package = "dplyr") data(storms, package = "dplyr")
For illustrating comparisons of dataframes, use the starwars
data and produce two new dataframes star_1
and star_2
that randomly sample the rows of the original and drop a couple of columns.
title: "Missingness and counting NAs" output: github_document
library(dplyr) star_1 <- starwars %>% sample_n(50) star_2 <- starwars %>% sample_n(50) %>% select(-1, -2)
starwars
The examples below make use of the starwars
and storms
data from the dplyr
package
# some example data data(starwars, package = "dplyr") data(storms, package = "dplyr")
For illustrating comparisons of dataframes, use the starwars
data and produce two new dataframes star_1
and star_2
that randomly sample the rows of the original and drop a couple of columns.
library(dplyr) star_1 <- starwars %>% sample_n(50) star_2 <- starwars %>% sample_n(50) %>% select(-1, -2)
inspect_mem()
for a single dataframeTo explore the memory usage of the columns in a data frame, use inspect_mem()
. The command returns a tibble
containing the size of each column in the dataframe.
library(inspectdf) inspect_mem(starwars)
A barplot can be produced by passing the result to show_plot()
:
inspect_mem(starwars) %>% show_plot()
inspect_mem()
for two dataframesWhen a second dataframe is provided, inspect_mem()
will create a dataframe comparing the size of each column for both input dataframes. The summaries for the first and second dataframes are show in columns with names appended with _1
and _2
, respectively.
inspect_mem(star_1, star_2)
inspect_mem(star_1, star_2) %>% show_plot()
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