Mock Quiz 1
Tom Trask
8/28/2019
- Q1 Get Walmart stock prices, instead of Apple.
- Q2 How many columns (variables) are there?
- Q3 Interpret the second observation?
- Q6 From the chart you created in Q5, briefly describe how the Amazon stock has performed since the beginning of 2019.
- Q8 Hide the given code at the top and its results from the webpage.
- Q9 Display the title and your name correctly at the top of the webpage.
- Q10 Use the correct slug.
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.
## 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: 1,025 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 50.5
## 2 2016-01-05 54.9 55.4 54.5 55.0 34079700 50.8
## 3 2016-01-06 54.3 54.4 53.6 54.0 39518900 49.8
## 4 2016-01-07 52.7 53.5 52.1 52.2 56564900 48.1
## 5 2016-01-08 52.4 53.3 52.2 52.3 48754000 48.3
## 6 2016-01-11 52.5 52.8 51.5 52.3 36943800 48.2
## 7 2016-01-12 52.8 53.1 52.1 52.8 36095500 48.7
## 8 2016-01-13 53.8 54.1 51.3 51.6 66883600 47.6
## 9 2016-01-14 52 53.4 51.6 53.1 52381900 49.0
## 10 2016-01-15 51.3 52.0 50.3 51.0 71820700 47.0
## # … with 1,015 more rows## Visualize
stocks %>%
ggplot(aes(x = date, y = close)) +
geom_line()
Q2 How many columns (variables) are there?
7
names(stocks)## [1] "date" "open" "high" "low" "close" "volume" "adjusted"Q3 Interpret the second observation?
As time goes on closing prices have grown consistently. ## 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. Numeric Data ## 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.
stocks %>%
ggplot(aes(x = date, y = adjusted)) +
geom_line()
Q6 From the chart you created in Q5, briefly describe how the Amazon stock has performed since the beginning of 2019.
Since the beginning of 20019 Microsoft’s Stock has been consitenly climbing at an even more impressive rate than before. ## 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.