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8  Working With Time Series Data in R

When analyzing time series data in R there are some important steps to follow. Below is example code that loads BTC data and creates a time series object to analyze.

Be careful and always follow these steps.

Start by cleaning the directory and loading the necessary packages.

Continue by loading the data into R by using the read_csv() function and making sure you put the path in quotations.

Lastly, make sure that the Date variable is recognized in the format month/day/year by using the mdy() function and specifying it as the index for in the tsibble() function.

rm(list=ls())
library(tidyverse)
library(fpp3)
library(ggthemes)

BTC<-read_csv("https://jagelves.github.io/Data/BTC_USD.csv")

BTC_ts <- BTC %>%
  mutate(Date = mdy(Date)) %>%
  as_tsibble(index = Date)