Data Basics

1 Load Library

library(tidyverse)

## ── Attaching packages ────────────────────────────────────────────────────────────────────────────────────────────── tidyverse 1.2.1 ──

## ✔ ggplot2 3.2.1     ✔ purrr   0.3.3
## ✔ tibble  2.1.3     ✔ dplyr   0.8.3
## ✔ tidyr   1.0.0     ✔ stringr 1.4.0
## ✔ readr   1.3.1     ✔ forcats 0.4.0

## ── Conflicts ───────────────────────────────────────────────────────────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag()    masks stats::lag()

2 Data Types

2.1 Vector - Numeric

a <- c(1,2,3)
a

## [1] 1 2 3

# class tells us whether data is numeric or character
class(a)

## [1] "numeric"

2.2 Vector - Character

b <- c("low", "medium", "high")
b

## [1] "low"    "medium" "high"

class(b)

## [1] "character"

3 Data Structures

3.1 Tibble

# stores different types of data
ab_tibble <- tibble(a, b)
ab_tibble

3.2 Importing a tibble

read_rds(path = "Data_Files/bike_sales/bike_wrangled.rds")