EDA: Performs Multiple EDA Analyis Functions

In ckornafel/expldata: Implementation of Exploratory Data Analysis

Description

Performs multiple exploratory functions on dataframe

Provides:

For Object - name, object class, and random sample of values

For Rows - missing values, percent of total row, and duplicate rows

For Columns - value type, missing values (count & percent), range (min, max, & spread), Shapiro-Wilk Normality (p-value and 95 and count any outliers (inner and outer)

Usage

EDA(x, expR = NULL, expC = NULL, plots = FALSE)

Arguments

x	A matrix-like R Object
expR	Interger of expected row number
expC	Integer of expected column number
plots	Logical value to produce plots

Value

A list of ggplot2 plots

Examples

## Not run: 
x <- data.frame("X1" = c(1,2,3,1,2,3),
                "X2" = 1:6,
                "X3"= c("a","b","c","a","b","c"))

EDA(x)

plot_value <- EDA(x,plots = TRUE)

## End(Not run)

ckornafel/expldata documentation built on Dec. 27, 2019, 2:20 a.m.