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
## # A tibble: 1,028 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04 103.  105.  102   105.  67649400     98.4
##  2 2016-01-05 106.  106.  102.  103.  55791000     96.0
##  3 2016-01-06 101.  102.   99.9 101.  68457400     94.1
##  4 2016-01-07  98.7 100.   96.4  96.4 81094400     90.1
##  5 2016-01-08  98.6  99.1  96.8  97.0 70798000     90.6
##  6 2016-01-11  99.0  99.1  97.3  98.5 49739400     92.1
##  7 2016-01-12 101.  101.   98.8 100.  49154200     93.4
##  8 2016-01-13 100.  101.   97.3  97.4 62439600     91.0
##  9 2016-01-14  98.0 100.   95.7  99.5 63170100     93.0
## 10 2016-01-15  96.2  97.7  95.4  97.1 79833900     90.8
## # … with 1,018 more rows
## Visualize
stocks %>%
  ggplot(aes(x = date, y = close)) +
  geom_line()

Q1 Get Walmart 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 for Walmart. You may find the ticker symbol for Microsoft from Yahoo Finance.

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

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

Q2 How many columns (variables) are there?

7 columns

Q3 Interpret the second observation?

Walmart stock prices will stay around the same price at all times. The price started at about 60 dollars and only once reached 65.

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

They are numeric. The others include logical and characters.

Q5 Plot the adjusted closing price in a line chart.

Hint: Insert a new code chunk below and type in the code, using the ggplot() function above. Revise the code so that it maps adjusted to the y-axis, instead of close.

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

For more information on the ggplot() function, refer to Ch2 Introduction to ggplot2 in one of our e-textbooks, Data Visualization with R.

Q6 From the chart you created in Q5, briefly describe how the Walmart stock has performed since the beginning of 2019.

Since 2019 the Walmart stock has gone up quite a bit. In 2019 it started around 90 and now it is above 110.

Q7 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.

Q8 Hide the given code at the top and its results from the webpage.

Hint: Use eval in the chunk option. 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.