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.

Hint: Insert a new code chunk below and type in the code, using the tq_get() function above. Replace the ticker symbol. Find ticker symbols from Yahoo Finance.

## 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 of Netflix stock changed hands on 1/13/17.

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.

An example of Character data would be “TRUE!” or “char” or just any text. An example of logical data could be echo= “FALSE”

Q4 Plot the closing price in a line chart.

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

``` For more information on the ggplot() function, refer to Ch2 Introduction to ggplot2 in one of our e-textbooks, Data Visualization with R.

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

Since the beginning of 2019, Netflix steadily rose until about June of 2019.From about June 2019 to December 2019, the closing price dropped heavily and fast.

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

Hint: Insert a new code chunk below and type in the code, using the tq_get() function above. You may refer to the manual of the tidyquant r package. Or, simply Google the tq_get function and see examples of the function’s usage.

## Import data
stocks <- tq_get("NFLX", get = "stock.prices", from = "2017-01-01")
stocks
## # A tibble: 781 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2017-01-03  125.  128.  124.  127.  9437900     127.
##  2 2017-01-04  127.  130.  127.  129.  7843600     129.
##  3 2017-01-05  129.  133.  129.  132. 10185500     132.
##  4 2017-01-06  132.  134.  130.  131. 10657900     131.
##  5 2017-01-09  131.  132.  130.  131.  5771800     131.
##  6 2017-01-10  131.  132.  129.  130.  5985800     130.
##  7 2017-01-11  131.  132.  129.  130.  5615100     130.
##  8 2017-01-12  131.  131.  128.  129.  5388900     129.
##  9 2017-01-13  131.  134.  131.  134. 10515000     134.
## 10 2017-01-17  135.  135.  132.  133. 12220200     133.
## # … with 771 more rows
## Import data
stocks <- tq_get("AMZN", get = "stock.prices", from = "2017-01-01")
stocks
## # A tibble: 781 x 7
##    date        open  high   low close  volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>   <dbl>    <dbl>
##  1 2017-01-03  758.  759.  748.  754. 3521100     754.
##  2 2017-01-04  758.  760.  754.  757. 2510500     757.
##  3 2017-01-05  762.  782.  760.  780. 5830100     780.
##  4 2017-01-06  782.  799.  778.  796. 5986200     796.
##  5 2017-01-09  798   802.  792.  797. 3446100     797.
##  6 2017-01-10  797.  798   790.  796. 2558400     796.
##  7 2017-01-11  794.  800.  790.  799. 2992800     799.
##  8 2017-01-12  800.  814.  800.  814. 4873900     814.
##  9 2017-01-13  814.  822.  811.  817. 3791900     817.
## 10 2017-01-17  816.  816   803.  810. 3670500     810.
## # … with 771 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.