Convenient and simple data analysis tools for day-to-day use. Mostly to get a first look at data attributes. Output is usually structured to allow for rowbinding, to allow for comparison of different data sets or subsets/versions.
You can install DataAnalysisTools from github with:
# install.packages("devtools")
devtools::install_github("julianbarg/DataAnalysisTools")The functions in DataAnalysisTools cover everyday tasks carried out by data scientists and provide for easy-to-read code from the get-go.
build_NA <- DataAnalysisTools::build_NA
NA1 <- build_NA(mtcars)
NA2 <- build_NA(cars)
NA_statistics <- rbind(NA1, NA2)
NA_statistics
#> source variable NAs observations perc_NA
#> 1 mtcars mpg 0 32 0
#> 2 mtcars cyl 0 32 0
#> 3 mtcars disp 0 32 0
#> 4 mtcars hp 0 32 0
#> 5 mtcars drat 0 32 0
#> 6 mtcars wt 0 32 0
#> 7 mtcars qsec 0 32 0
#> 8 mtcars vs 0 32 0
#> 9 mtcars am 0 32 0
#> 10 mtcars gear 0 32 0
#> 11 mtcars carb 0 32 0
#> 12 cars speed 0 50 0
#> 13 cars dist 0 50 0