Use the given code below to answer the questions.

Q1 Get Amazon stock prices, instead of Apple.

## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis
## Import data
stocks <- tq_get("AMZN", get = "stock.prices", from = "2016-01-01")
stocks
## # A tibble: 1,025 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 1,015 more rows

Q2 How many columns (variables) are there?

There are 7 variables.

Q3 What are the variables?

date, open, high, low, close, volume, adjusted

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

These variables are numeric. The other types are character and logical.

Q5 How many rows are there?

There are 1,025 rows.

Q6 What does the row represent?

The row represents daily stock prices.

Q7 Create a line plot for the data.

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

Q8 Hide the messages and warings but display the code and its results on the webpage.

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

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.