Use the given code below to answer the questions.

## # A tibble: 1,032 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04 103.  105.  102   105.  67649400     98.2
##  2 2016-01-05 106.  106.  102.  103.  55791000     95.8
##  3 2016-01-06 101.  102.   99.9 101.  68457400     93.9
##  4 2016-01-07  98.7 100.   96.4  96.4 81094400     89.9
##  5 2016-01-08  98.6  99.1  96.8  97.0 70798000     90.4
##  6 2016-01-11  99.0  99.1  97.3  98.5 49739400     91.9
##  7 2016-01-12 101.  101.   98.8 100.  49154200     93.2
##  8 2016-01-13 100.  101.   97.3  97.4 62439600     90.8
##  9 2016-01-14  98.0 100.   95.7  99.5 63170100     92.8
## 10 2016-01-15  96.2  97.7  95.4  97.1 79833900     90.6
## # … with 1,022 more rows

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.

## # A tibble: 772 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 762 more rows

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

10,515,000 stocks were traded on january 13th 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.

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

logical example:

Character example:

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.

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 beggining of 2019 the line chart has shown that netflix took a huge leap and went up to about 350 then plumeted near the middle end of the 2019 year to go back down to equal or less than the beggining of 2019.

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.

## # A tibble: 2,064 x 8
##    symbol date        open  high   low close   volume adjusted
##    <chr>  <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 NFLX   2016-01-04  109   110   105.  110. 20794800     110.
##  2 NFLX   2016-01-05  110.  111.  106.  108. 17664600     108.
##  3 NFLX   2016-01-06  105.  118.  105.  118. 33045700     118.
##  4 NFLX   2016-01-07  116.  122.  112.  115. 33636700     115.
##  5 NFLX   2016-01-08  116.  118.  111.  111. 18067100     111.
##  6 NFLX   2016-01-11  112.  117.  111.  115. 21920400     115.
##  7 NFLX   2016-01-12  116.  118.  115.  117. 15133500     117.
##  8 NFLX   2016-01-13  114.  114.  105.  107. 24921600     107.
##  9 NFLX   2016-01-14  106.  109.  101.  107. 23664800     107.
## 10 NFLX   2016-01-15  102.  106.  102.  104. 19775100     104.
## # … with 2,054 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.