Quiz 1
Janel Bachand
9/10/2019
- Q1 Import Tesla stock prices, instead of Apple.
- Q2 How many shares of the stock were traded on January 13, 2016?
- Q3 Stock prices in this data would be a good example of numeric data. Character and logical are two other basic data types in R. List one example of character data and one example of logical data.
- Q4 Plot the closing price in a line chart.
- Q5 From the chart you created in Q4, briefly describe how the Tesla stock has performed since the beginning of 2019.
- Q6 Import two stocks: Tesla and Netflix for the same time period.
- Q7 Hide the messages, but display the code and results of the code from the webpage.
- Q8 Hide the code in Q6 but display its results.
- 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.
## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis
## Import data
stocks <- tq_get("TSLA", get = "stock.prices", from = "2016-01-01")
stocks## # A tibble: 927 x 7
## date open high low close volume adjusted
## <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2016-01-04 231. 231. 219 223. 6827100 223.
## 2 2016-01-05 226. 227. 220 223. 3186800 223.
## 3 2016-01-06 220 220. 216. 219. 3779100 219.
## 4 2016-01-07 214. 218. 214. 216. 3554300 216.
## 5 2016-01-08 218. 220. 211. 211 3628100 211
## 6 2016-01-11 214. 214. 203 208. 4089700 208.
## 7 2016-01-12 212. 214. 205. 210. 3091900 210.
## 8 2016-01-13 212. 213. 200 200. 4126400 200.
## 9 2016-01-14 202. 210 193. 206. 6490700 206.
## 10 2016-01-15 199. 205. 197. 205. 5578600 205.
## # … with 917 more rows## Visualize
stocks %>%
ggplot(aes(x = date, y = adjusted)) +
geom_line()
Q1 Import Tesla stock prices, instead of Apple.
Q3 Stock prices in this data would be a good example of numeric data. Character and logical are two other basic data types in R. List one example of character data and one example of logical data.
An example of character data would be letters or characters such as an essay. An example of logical would be true and false.
Q4 Plot the closing price in a line chart.
## Visualize
stocks %>%
ggplot(aes(x = date, y = close)) +
geom_line()
Q5 From the chart you created in Q4, briefly describe how the Tesla stock has performed since the beginning of 2019.
Since the beginning of 2019, stocks were about 325 but dropped insanely to just a ltitle over 175. It then spiked back up and is currently a little bit above 225.
Q6 Import two stocks: Tesla and Netflix for the same time period.
## # A tibble: 927 x 7
## date open high low close volume adjusted
## <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2016-01-04 231. 231. 219 223. 6827100 223.
## 2 2016-01-05 226. 227. 220 223. 3186800 223.
## 3 2016-01-06 220 220. 216. 219. 3779100 219.
## 4 2016-01-07 214. 218. 214. 216. 3554300 216.
## 5 2016-01-08 218. 220. 211. 211 3628100 211
## 6 2016-01-11 214. 214. 203 208. 4089700 208.
## 7 2016-01-12 212. 214. 205. 210. 3091900 210.
## 8 2016-01-13 212. 213. 200 200. 4126400 200.
## 9 2016-01-14 202. 210 193. 206. 6490700 206.
## 10 2016-01-15 199. 205. 197. 205. 5578600 205.
## # … with 917 more rows## # A tibble: 927 x 7
## date open high low close volume adjusted
## <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2016-01-04 109 110 105. 110. 20794800 110.
## 2 2016-01-05 110. 111. 106. 108. 17664600 108.
## 3 2016-01-06 105. 118. 105. 118. 33045700 118.
## 4 2016-01-07 116. 122. 112. 115. 33636700 115.
## 5 2016-01-08 116. 118. 111. 111. 18067100 111.
## 6 2016-01-11 112. 117. 111. 115. 21920400 115.
## 7 2016-01-12 116. 118. 115. 117. 15133500 117.
## 8 2016-01-13 114. 114. 105. 107. 24921600 107.
## 9 2016-01-14 106. 109. 101. 107. 23664800 107.
## 10 2016-01-15 102. 106. 102. 104. 19775100 104.
## # … with 917 more rows