Use the given code below to answer the questions.

Q1 Get Amazon stock prices, instead of Apple.

## # A tibble: 1,023 x 7
##    date        open  high   low close  volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>   <dbl>    <dbl>
##  1 2016-01-04  656.  658.  628.  637. 9314500     637.
##  2 2016-01-05  647.  647.  628.  634. 5822600     634.
##  3 2016-01-06  622   640.  620.  633. 5329200     633.
##  4 2016-01-07  622.  630   605.  608. 7074900     608.
##  5 2016-01-08  620.  624.  606   607. 5512900     607.
##  6 2016-01-11  612.  620.  599.  618. 4891600     618.
##  7 2016-01-12  625.  626.  612.  618. 4724100     618.
##  8 2016-01-13  621.  621.  579.  582. 7655200     582.
##  9 2016-01-14  580.  602.  570.  593  7238000     593 
## 10 2016-01-15  572.  585.  565.  570. 7784500     570.
## # … with 1,013 more rows

Q2 How many columns (variables) are there?

## Observations: 1,023
## Variables: 7
## $ date     <date> 2016-01-04, 2016-01-05, 2016-01-06, 2016-01-07, 2016-01-08,…
## $ open     <dbl> 656.29, 646.86, 622.00, 621.80, 619.66, 612.48, 625.25, 620.…
## $ high     <dbl> 657.72, 646.91, 639.79, 630.00, 624.14, 619.85, 625.99, 620.…
## $ low      <dbl> 627.51, 627.65, 620.31, 605.21, 606.00, 598.57, 612.24, 579.…
## $ close    <dbl> 636.99, 633.79, 632.65, 607.94, 607.05, 617.74, 617.89, 581.…
## $ volume   <dbl> 9314500, 5822600, 5329200, 7074900, 5512900, 4891600, 472410…
## $ adjusted <dbl> 636.99, 633.79, 632.65, 607.94, 607.05, 617.74, 617.89, 581.…

Q3 What are the variables?

Date, Open Price, High Price, Low Price, Closing Price, Volume, Adjusted Closing Price

Q4 What type of data are they? What are other basic data types?

This data type is numeric. Other data types include character and logical

Q5 How many rows are there?

There are 1023 rows.

Q6 What does the row represent?

Stock info for each business day.

Q7 Create a line plot for the data.