Use the given code below to answer the questions.

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.

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

## Import data
stocks <- tq_get("NFLX", get = "stock.prices", from = "2017-01-13")
stocks
## # A tibble: 773 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2017-01-13  131.  134.  131.  134. 10515000     134.
##  2 2017-01-17  135.  135.  132.  133. 12220200     133.
##  3 2017-01-18  133.  134.  131.  133. 16168600     133.
##  4 2017-01-19  142.  143.  138.  138. 23203400     138.
##  5 2017-01-20  139.  141.  138.  139.  9497400     139.
##  6 2017-01-23  139.  139.  137.  137.  7433900     137.
##  7 2017-01-24  138.  141.  137.  140.  7754700     140.
##  8 2017-01-25  141.  141.  139.  140.  7238100     140.
##  9 2017-01-26  140.  141.  139.  139.  6038300     139.
## 10 2017-01-27  139.  142.  139   142.  8323900     142.
## # … with 763 more rows

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

10515000

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.

Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.

An example of character data is my name, Yuxia Wu. An example of logical data is true or false entity.

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()

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.

At the start of 2019, Netflix had around 240 subscribers，and then gradually builds up to between 350 and 370 subscribers. Although it declined slightly at the end of 2019, the number of subscribers started to rise again in 2020.

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
mult_stocks <- tq_get("AMZN","NFLX", get = "stock.prices", from = "2017-01-013")
mult_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.