profiling_num

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

Around 10% of almost any predictive modeling project is spent in predictive modeling, 'funModeling' and the book Data Science Live Book (<https://livebook.datascienceheroes.com/>) are intended to cover remaining 90%: data preparation, profiling, selecting best variables 'dataViz', assessing model performance and other functions.

Pablo Casas

funModeling

Exploratory Data Analysis and Data Preparation Tool-Box

profiling_num function

<dl><dt>data</dt>
<dd>data frame</dd></dl>

Arguments

Profiling numerical data — profiling_num

<dl>

<dt>data</dt>
<dd>data frame</dd>

</dl>

profiling_num: Profiling numerical data

Description

Usage

Value

Arguments

Examples