In alastairrushworth/inspectdf: Inspection, Comparison and Visualisation of Data Frames

Illustrative data: 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)

Illustrative data: 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 dataframe

To 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 dataframes

When 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()

alastairrushworth/inspectdf documentation built on Aug. 15, 2022, 1:23 a.m.