Quiz 1

Use the given code below to answer the questions.

## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis

## Import data
stocks <- tq_get("AAPL", get = "stock.prices", from = "2016-01-01")
stocks

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

Q1 Import Netflix stock prices, instead of Apple.

stocks <- tq_get("NFLX", get = "stock.prices", from = "2016-01-01")
stocks

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

10515000 shares were traded

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 would be text values likes “Hello World”. Logical data would be TRUE or FALSE.

Q4 Plot the closing price in a line chart.

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

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

Netflix stock had seen an increase in stock closing prices for a while til it had a drop at the tail end of the year. Since the major drop it has been steadily rising again.

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

mult_stocks <- tq_get(c("NFLX", "AMZN"),
                      get  = "stock.prices",
                      from = "2016-01-01")
mult_stocks

## # 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.

Q8 Make an exception to the code chunk in Q6 by displaying both the code and its results.

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

Q10 Use the correct slug.