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funModeling (version 1.6.8)

profiling_num: Profiling numerical data

Description

Get a metric table with many indicators for all numerical variables, automatically skipping the non-numerical variables. Current metrics are: mean, std_dev: standard deviation, all the p_XX: percentile at XX number, skewness, kurtosis, iqr: inter quartile range, variation_coef: the ratio of sd/mean, range_98 is the limit for which the 98

Usage

profiling_num(data, print_results = T, digits = 2)

Arguments

data

data frame

print_results

prints the result, TRUE by default.

digits

the number of digits to show the result, 2 by default.

Value

metrics table

Examples

Run this code
# NOT RUN {
profiling_num(mtcars)
# }

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