Use the given code below to answer the questions.

## # A tibble: 927 x 7
##    date        open  high   low close  volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>   <dbl>    <dbl>
##  1 2016-01-04  231.  231.  219   223. 6827100     223.
##  2 2016-01-05  226.  227.  220   223. 3186800     223.
##  3 2016-01-06  220   220.  216.  219. 3779100     219.
##  4 2016-01-07  214.  218.  214.  216. 3554300     216.
##  5 2016-01-08  218.  220.  211.  211  3628100     211 
##  6 2016-01-11  214.  214.  203   208. 4089700     208.
##  7 2016-01-12  212.  214.  205.  210. 3091900     210.
##  8 2016-01-13  212.  213.  200   200. 4126400     200.
##  9 2016-01-14  202.  210   193.  206. 6490700     206.
## 10 2016-01-15  199.  205.  197.  205. 5578600     205.
## # … with 917 more rows

Q1 Import Tesla 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.

Q2 How many shares of the stock were traded on January 13, 2016?

4126400

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 contrats with numerical data, it is alphanumeric data or text.Example is a specific name of a person. Logical data describes the data in as much detail as possible, without regard in how they will be physical implemented. Example would be sales. ## Q4 Plot the closing price in a line chart.

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

Tesla stocks since the beginning of 2019 have steadily gone down.

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

## # A tibble: 927 x 7
##    date        open  high   low close  volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>   <dbl>    <dbl>
##  1 2016-01-04  231.  231.  219   223. 6827100     223.
##  2 2016-01-05  226.  227.  220   223. 3186800     223.
##  3 2016-01-06  220   220.  216.  219. 3779100     219.
##  4 2016-01-07  214.  218.  214.  216. 3554300     216.
##  5 2016-01-08  218.  220.  211.  211  3628100     211 
##  6 2016-01-11  214.  214.  203   208. 4089700     208.
##  7 2016-01-12  212.  214.  205.  210. 3091900     210.
##  8 2016-01-13  212.  213.  200   200. 4126400     200.
##  9 2016-01-14  202.  210   193.  206. 6490700     206.
## 10 2016-01-15  199.  205.  197.  205. 5578600     205.
## # … with 917 more rows
## # A tibble: 927 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 917 more rows

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

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

Q8 Hide the code in Q6 but display 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.