clean_table: Remove columns filled only with NA (missing value)
In hadrilec2/insee: Tools to Easily Download Data from INSEE BDM Database
Description
Usage
Arguments
Examples
Description
Remove columns filled only with NA (missing value)
Usage
1
Arguments
df
the dataframe to be cleaned
Examples
1
2
3
4
5
6
7
8
9
library(tidyverse)
idbank_list = get_idbank_list() #idbank list
idbank_empl = idbank_list %>%
filter(nomflow == "EMPLOI-SALARIE-TRIM-NATIONAL") %>% #employment
mutate(title = get_insee_title(idbank)) %>%
separate(title, sep = " - ", into = paste0("title", 1:5), fill = "right") %>%
clean_table()
hadrilec2/insee documentation built on Aug. 10, 2020, 1:53 a.m.
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.
Description Usage Arguments Examples
Description
Remove columns filled only with NA (missing value)
Usage
1 |
Arguments
df |
the dataframe to be cleaned |
Examples
1 2 3 4 5 6 7 8 9 | library(tidyverse)
idbank_list = get_idbank_list() #idbank list
idbank_empl = idbank_list %>%
filter(nomflow == "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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.