# Notebook Explore

# Introduction

This is an R Notebook that helps you to explore your data. To use your owen data just replace the code below.

The Notebook uses the R package {explore} and is designed to explore small datasets as well as large datasets (with > 100 variables)

Data must be in a “tidy” format (each row is an observation, each column is a variable, each cell is a single value)

# Data Understanding

## Explore Table

## Describe Table

    ## 1 000 (1k) observations with 9 variables
    ## 0 observations containing missings (NA)
    ## 0 variables containing missings (NA)
    ## 0 variables with no variance

## Describe Variables

variable | type | na | na_pct | unique | min | mean | max
--- | --- | --- | --- | --- | --- | --- | ---
price | dbl | 0 | 0 | 26 | 4 | 19.13 | 29
type | chr | 0 | 0 | 3 | NA | NA | NA
usage | dbl | 0 | 0 | 160 | 0 | 54.66 | 150
shared | dbl | 0 | 0 | 2 | 0 | 0.40 | 1
device | chr | 0 | 0 | 3 | NA | NA | NA
newsletter | dbl | 0 | 0 | 2 | 0 | 0.50 | 1
language | chr | 0 | 0 | 4 | NA | NA | NA
duration | int | 0 | 0 | 101 | 0 | 49.58 | 100
churn | dbl | 0 | 0 | 2 | 0 | 0.35 | 1

## Explore Variables

# Finding Insights

## Explore Target

## Explore Variables + Target

## Explain Target