Use the given code below to answer the questions.

Q1 Get Microsoft 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 Microsoft. 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("MSFT", get = "stock.prices", from = "2016-01-01")
stocks
## # A tibble: 922 x 7
##    date        open  high   low close   volume adjusted
##    <date>     <dbl> <dbl> <dbl> <dbl>    <dbl>    <dbl>
##  1 2016-01-04  54.3  54.8  53.4  54.8 53778000     50.7
##  2 2016-01-05  54.9  55.4  54.5  55.0 34079700     50.9
##  3 2016-01-06  54.3  54.4  53.6  54.0 39518900     50.0
##  4 2016-01-07  52.7  53.5  52.1  52.2 56564900     48.3
##  5 2016-01-08  52.4  53.3  52.2  52.3 48754000     48.4
##  6 2016-01-11  52.5  52.8  51.5  52.3 36943800     48.4
##  7 2016-01-12  52.8  53.1  52.1  52.8 36095500     48.8
##  8 2016-01-13  53.8  54.1  51.3  51.6 66883600     47.8
##  9 2016-01-14  52    53.4  51.6  53.1 52381900     49.1
## 10 2016-01-15  51.3  52.0  50.3  51.0 71820700     47.2
## # … with 912 more rows

Q2 How many columns (variables) are there?

Hint: Insert a new code chunk below and type in the code, using the glimpse() function above.

## Examine data
glimpse(stocks)
## Observations: 922
## Variables: 7
## $ date     <date> 2016-01-04, 2016-01-05, 2016-01-06, 2016-01-07, 2016-0…
## $ open     <dbl> 54.32, 54.93, 54.32, 52.70, 52.37, 52.51, 52.76, 53.80,…
## $ high     <dbl> 54.80, 55.39, 54.40, 53.49, 53.28, 52.85, 53.10, 54.07,…
## $ low      <dbl> 53.39, 54.54, 53.64, 52.07, 52.15, 51.46, 52.06, 51.30,…
## $ close    <dbl> 54.80, 55.05, 54.05, 52.17, 52.33, 52.30, 52.78, 51.64,…
## $ volume   <dbl> 53778000, 34079700, 39518900, 56564900, 48754000, 36943…
## $ adjusted <dbl> 50.70846, 50.93979, 50.01446, 48.27483, 48.42288, 48.39…

There are 7 variables.

Q3 What are the variables?

The variables are date, open, high, low, close, volume, and adjusted.

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

Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.

This is numeric data, but there is also logical data and character data.

Q5 How many rows are there?

There are 922 rows.

Q6 What does the row represent?

A row represents an observation/day.

Q7 Create a line plot for the data.

Hint: Insert a new code chunk below and type in the code, using the ggplot() function above. For more information on the ggplot() function, refer to Ch2 Introduction to ggplot2 in one of our e-textbooks, Data Visualization with R.

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

Q8 Hide the messages and warings but display the code and results of the code on the webpage.

Hint: Change message, warning, collapse, 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.