Use the given code below to answer the questions.

## # A tibble: 1,025 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04  60.5  61.5  60.4  61.5 11989200     55.7
##  2 2016-01-05  62.0  63.0  61.8  62.9 13326000     57.1
##  3 2016-01-06  62.5  64.0  62.5  63.5 16564600     57.6
##  4 2016-01-07  63.0  65.2  62.9  65.0 26430000     59.0
##  5 2016-01-08  65.1  65.4  63.4  63.5 17767900     57.6
##  6 2016-01-11  63.8  64.5  63.6  64.2 12653800     58.2
##  7 2016-01-12  64.4  64.7  63.4  63.6 12195900     57.7
##  8 2016-01-13  63.7  63.7  61.8  61.9 13725700     56.2
##  9 2016-01-14  62    63.6  61.8  63.1 12934900     57.2
## 10 2016-01-15  61.5  62.5  61.3  61.9 15174400     56.2
## # … with 1,015 more rows

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 Amazon. You may find the ticker symbol for Walmart from Yahoo Finance.

## # A tibble: 1,025 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04  60.5  61.5  60.4  61.5 11989200     55.7
##  2 2016-01-05  62.0  63.0  61.8  62.9 13326000     57.1
##  3 2016-01-06  62.5  64.0  62.5  63.5 16564600     57.6
##  4 2016-01-07  63.0  65.2  62.9  65.0 26430000     59.0
##  5 2016-01-08  65.1  65.4  63.4  63.5 17767900     57.6
##  6 2016-01-11  63.8  64.5  63.6  64.2 12653800     58.2
##  7 2016-01-12  64.4  64.7  63.4  63.6 12195900     57.7
##  8 2016-01-13  63.7  63.7  61.8  61.9 13725700     56.2
##  9 2016-01-14  62    63.6  61.8  63.1 12934900     57.2
## 10 2016-01-15  61.5  62.5  61.3  61.9 15174400     56.2
## # … with 1,015 more rows

Q2 How many columns (variables) are there?

7

Q3 Interpret the second observation?

1025 different rows, the variables are different types of stock

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

Numeric data is the type used here. Character data, logical data are other types

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. 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.

Walmart stock was at a low at the beginning of the year, almost got up to an all time high and has slowly decended as the country possibly faces a recession.

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.