Quiz3-a

Q1. dividends Import dividends of Apple and Microsoft since 2010.

## # A tibble: 0 x 2
## # … with 2 variables: symbol <chr>, dividends <???>

Q2. economic data Import U.S. civilian unemployment rate (seasonally adjusted) since 2017.

Hint: Find the symbol in FRED.

## # A tibble: 37 x 2
##    date       price
##    <date>     <dbl>
##  1 2017-01-01   4.7
##  2 2017-02-01   4.6
##  3 2017-03-01   4.4
##  4 2017-04-01   4.4
##  5 2017-05-01   4.4
##  6 2017-06-01   4.3
##  7 2017-07-01   4.3
##  8 2017-08-01   4.4
##  9 2017-09-01   4.2
## 10 2017-10-01   4.1
## # … with 27 more rows

Q3. exchange rates Import exchange rate between the U.S. dollar and the Japanese yen.

Hint: Find the symbol in oanda.com.

## # A tibble: 180 x 2
##    date       exchange.rate
##    <date>             <dbl>
##  1 2019-09-07       0.00935
##  2 2019-09-08       0.00935
##  3 2019-09-09       0.00934
##  4 2019-09-10       0.00931
##  5 2019-09-11       0.00928
##  6 2019-09-12       0.00926
##  7 2019-09-13       0.00925
##  8 2019-09-14       0.00925
##  9 2019-09-15       0.00925
## 10 2019-09-16       0.00927
## # … with 170 more rows

Q4. stock prices Import stock price of Apple and Microsoft since 2010.

Q5 Scatterplot Plot the relationship between closing price and volume for Apple.

Hint: See the code in 4.2.1 Scatterplot. Use the dplyr::filter function to select Apple.

Q6 Describe the relationship between closing price and volume for Apple.

Hint: See the scatterplot you created in the previous question.

There is an inverse relationship between the closing price and volume for apple’s stock prices.

Q7 Scatterplot Plot the relationship between closing price and volume for both Apple and Microsoft.

Hint: Use facet_wrap().

Q8 Hide the messages and the code, but display results of the code from the webpage.

Hint: Use message, 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.