Applied Data Visualization with R and ggplot2

Creating a Time Series Plot

In this section, we'll look at variations in closing stock prices for Facebook from June 2017 to June 2018. Let's begin by implementing the following steps:

1. Read the data provided in FB.csv.
2. Print the data using the glimpse command, as follows:

df_fb <- read.csv("data/FB.csv")#Glimpseglimpse(df_fb)## Observations: 357## Variables: 7## $ Date <fct> 2017-01-17, 2017-01-18, 2017-01-19, 2017-01-20, 2017...## $ Open <dbl> 128.04, 128.41, 128.23, 128.10, 127.31, 129.38, 130....## $ High <dbl> 128.34, 128.43, 128.35, 128.48, 129.25, 129.90, 131....## $ Low <dbl> 127.40, 126.84, 127.45, 126.78, 126.95, 128.38, 129....## $ Close <dbl> 127.87, 127.92, 127.55, 127.04, 128.93, 129.37, 131....## $ Adj.Close <dbl> 127.87, ...