Use the given code below to answer the questions.

## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis

## Import data
stocks <- tq_get("AAPL", get = "stock.prices", from = "2016-01-01")
stocks

## Visualize
stocks %>%
  ggplot(aes(x = date, y = adjusted)) +
  geom_line()

Q1 Import Netflix stock prices, instead of Apple.

## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis

## Import data
stocks <- tq_get("NFLX", get = "stock.prices", from = "2017-01-01")
stocks

Q2 How many shares of the stock were traded on January 13, 2017?

10,515,000 shares were traded on January 13, 2017.

Q3 Stock prices in this data would be a good example of numeric data. Character and logical are two other basic data types in R. List one example of character data and one example of logical data.

Character data would be like “one”, “two”, “three”. Logical data would be “TRUE” , “FALSE”

Q4 Plot the closing price in a line chart.

Hint: Insert a new code chunk below and type in the code, using the ggplot() function above. Revise the code so that it maps close to the y-axis, instead of adjusted.

## Visualize
stocks %>%
  ggplot(aes(x = date, y = close)) +
  geom_line()

Q5 From the chart you created in Q4, briefly describe how the Netflix stock has performed since the beginning of 2019.

At the beginning of 2019, Netflix experienced rapid growth, followed by a plateau. It then took a dip before beginning an alsmost year long period of growth to present.

Q6 Import two stocks: Netflix and Amazon for the same time period.

## Import data
stocks <- tq_get("NFLX", "AMZN", get = "stock.prices", from = "2016-01-01")
stocks
## # A tibble: 1,033 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04  109   110   105.  110. 20794800     110.
##  2 2016-01-05  110.  111.  106.  108. 17664600     108.
##  3 2016-01-06  105.  118.  105.  118. 33045700     118.
##  4 2016-01-07  116.  122.  112.  115. 33636700     115.
##  5 2016-01-08  116.  118.  111.  111. 18067100     111.
##  6 2016-01-11  112.  117.  111.  115. 21920400     115.
##  7 2016-01-12  116.  118.  115.  117. 15133500     117.
##  8 2016-01-13  114.  114.  105.  107. 24921600     107.
##  9 2016-01-14  106.  109.  101.  107. 23664800     107.
## 10 2016-01-15  102.  106.  102.  104. 19775100     104.
## # … with 1,023 more rows

Q7 Hide the messages and the results of the code, but display the code on the webpage.

Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.

Q8 Make an exception to the code chunk in Q6 by displaying both the code and its results.

Hint: Use echo and results in the chunk option. Note that this question only applies to the individual code chunk of Q6.

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.