clean_table: Remove columns filled only with NA (missing value)
In insee: Tools to Easily Download Data from INSEE BDM Database
clean_table R Documentation
Remove columns filled only with NA (missing value)
Description
Remove columns filled only with NA (missing value)
Usage
clean_table(df)
Arguments
df
the dataframe to be cleaned
Value
a dataframe without columns containing only NA
Examples
library(tidyverse)
idbank_empl =
get_idbank_list("EMPLOI-SALARIE-TRIM-NATIONAL") %>% #employment
mutate(title = get_insee_title(idbank)) %>%
separate(title, sep = " - ", into = paste0("title", 1:5), fill = "right") %>%
clean_table()
insee documentation built on Sept. 18, 2022, 1:08 a.m.
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| clean_table | R Documentation |
Remove columns filled only with NA (missing value)
Description
Remove columns filled only with NA (missing value)
Usage
clean_table(df)
Arguments
df |
the dataframe to be cleaned |
Value
a dataframe without columns containing only NA
Examples
library(tidyverse)
idbank_empl =
get_idbank_list("EMPLOI-SALARIE-TRIM-NATIONAL") %>% #employment
mutate(title = get_insee_title(idbank)) %>%
separate(title, sep = " - ", into = paste0("title", 1:5), fill = "right") %>%
clean_table()
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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