19/09/2020

Objectives

EDA in a Snap!

  1. Help with the Exploratory Data Analysis of new datasets.
  2. Give important measures.
  3. Be easy to use.

Exploratory Data Analysis

  • Allows you to understand your data.
  • Always done.
  • Interactive process. Why CODE?

EDA Examples

  • Some questions are always asked!
dim(cars)
## [1] 50  2
head(cars)
##   speed dist
## 1     4    2
## 2     4   10
## 3     7    4
## 4     7   22
## 5     8   16
## 6     9   10
summary(cars)
##      speed           dist       
##  Min.   : 4.0   Min.   :  2.00  
##  1st Qu.:12.0   1st Qu.: 26.00  
##  Median :15.0   Median : 36.00  
##  Mean   :15.4   Mean   : 42.98  
##  3rd Qu.:19.0   3rd Qu.: 56.00  
##  Max.   :25.0   Max.   :120.00

Speed UP!

With EDA Snap you can have complete EDAs with a Snap!!!