explore1.4.0 package

A/B testing interactive

A/B testing comparing two mean

A/B testing comparing percent per group

A/B testing

Add a variable id at first column in dataset

Add a random 0/1 variable to dataset

Add a random categorical variable to dataset

Add a random double variable to dataset

Add a random integer variable to dataset

Add a random moon variable to dataset

Add a random starsign variable to dataset

Balance target variable

Check vector for low variance

Clean variable

Adds percentage to dplyr::count()

Create data of A/B testing

Create data app

Create data buy

Create data churn

Create an empty dataset

Create data esoteric

Create data newsletter

Create data person

Create data random

Create data unfair

Generate a notebook

Cut a variable

Create a data dictionary Markdown file

decrypt text

Describe all variables of a dataset

Describe categorical variable

Describe numerical variable

Describe table

Describe a dataset or variable

Drop all observations where expression is true

Drop all observations with NA-values

Drop variables by name

Drop all variables with low variance

Drop all variables with no variance

Drop all not numeric variables

Drop all variables with NA-values

encrypt text

Explain a target using Random Forest.

Explain a binary target using a logistic regression (glm). Model chose...

Explain a target using a simple decision tree (classification or regre...

Explain a binary target using xgboost

Explore all variables

Explore categorical variable using bar charts

Explore data without aggregation (label + value)

Explore the correlation between two variables

Explore count data (categories + frequency)

Explore density of variable

Explore dataset interactive

Explore variable + binary target (values 0/1)

Explore table

explore: Simplifies Exploratory Data Analysis

Explore a dataset or variable

Format number as character string (auto)

Format number as character string (kMB)

Format number as character string (space as big.mark)

Format target

Format type description

Get predefined colors

Get number of rows for a grid plot

Return type of variable

Put variables into "buckets" to create a set of plots instead one larg...

Return if variable is categorical or numerical

Make a explore-plot interactive

Log conditional

Mix colors

Plots a legend that can be used for explore_all with a binary target

Plot a text

Plot a variable info

Predict target using a trained model.

Replace NA

Generate a report of all variables

Rescales a numeric variable into values between 0 and 1

Show color vector as ggplot

Simplifies a text string

Explore categorical variable + target

Explore Nuberical variable + target

Get fig.height for RMarkdown-junk using explore_all()

Use the beer data set

Use the diamonds data set

Use the iris flower data set

Use the mpg data set

Use the mtcars data set

Use the penguins data set

Use the starwars data set

Use the titanic data set

Use the wordle data set

Weight target variable

Calculate with periods (format yyyymm)