Use the given code below to answer the questions.

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.

## # A tibble: 1,029 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 1,019 more rows

Q2 How many columns (variables) are there?

There are 7 columns

Q3 Interpret the second observation?

On January 5th 2016, Walmrt stock prices opened at 62 and closed at 61.50. The high was 63 and the low was 61.8. It seems there was fluctuation during the day, but not much.

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

Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics. There are three basic data types. They are numeric, character, and logical. Numeric data is numbers. Chaacters can be company names or if you put numbers in quotation marks they can be character data too. Logical data is true or false.

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.

At the beginning at 2019 the Walmart stock price was below 150 and then they ended the year at 300. So during 2019, Walmart doubled their stock prices.

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.