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All functions

classify_df()
Classify all variable of a data.frame
correct_list_df()
corrections of each df of a list
create_config()
Create a template of configuration file
create_df_stats()
Create statistics from database
create_fake_silc()
Use PUF files for SILC example
empty_as_na()
Replace empty by na
extract_config()
extract a config from key (config from load_config)
folder_to_df()
tranform data from folder to config and df
heatmap_group()
Create a heatmap
is.integer64()
Check if value is integer64
list_dist()
List distribution of discrete variables
load_config()
load a config file for prepare data
loop_stats()
Loop of stats creation by zone
my_chisq_test()
Specific chisq test to NA and Other modality
prepa_stats()
Create a summarise of all the difference
prepa_survey()
Preparation of a survey
prepa_surveys()
Preparation of all surveys from a folder
runExample()
Shiny Example of vizsurvey
runVizsurvey()
Shiny vizsurvey
runVizsurvey_from_file()
Shiny vizsurvey from a csv/tsv
runVizsurvey_from_folder()
Shiny vizsurvey with already prepared data
runVizsurvey_from_r()
Shiny vizsurvey from a R data.frame
scale_IQR()
Robust Scale of a varible with IQR
score_isoforest()
calculate isoforest score from df