clean_table: Remove columns filled only with NA (missing value)
In hadrilec/insee: Tools to Easily Download Data from INSEE BDM Database
Description
Usage
Arguments
Value
Examples
Description
Remove columns filled only with NA (missing value)
Usage
1
Arguments
df
the dataframe to be cleaned
Value
a dataframe without columns containing only NA
Examples
1
2
3
4
5
6
7
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()
hadrilec/insee documentation built on Oct. 13, 2021, 12:03 p.m.
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Description Usage Arguments Value Examples
Description
Remove columns filled only with NA (missing value)
Usage
1 |
Arguments
df |
the dataframe to be cleaned |
Value
a dataframe without columns containing only NA
Examples
1 2 3 4 5 6 7 | 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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