Use the given code below to answer the questions.
## # 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
Hint: Insert a new code chunk below and type in the code, using the tq_get() function above. Replace the ticker symbol. Find ticker symbols from Yahoo Finance.
## # 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
Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.
Character data would be something non-numerical, and Logical data would be “TRUE” or “FALSE”
Hint: Insert a new code chunk below and type in the code, using the ggplot() function above. Revise the code so that it maps close to the y-axis, instead of adjusted.
For more information on the ggplot() function, refer to Ch2 Introduction to ggplot2 in one of our e-textbooks, Data Visualization with R.
TSLA had a very bad start to 2019, but has recovered about halfway from the price that it ended at in 2018
Hint: Insert a new code chunk below and type in the code, using the tq_get() function above. You may refer to the manual of the tidyquant r package. Or, simply Google the tq_get function and see examples of the function’s usage.
## Warning: x = ' NFLX', get = 'stock.prices': Error in getSymbols.yahoo(Symbols = " NFLX", env = <environment>, verbose = FALSE, : Unable to import " NFLX".
## NFLX download failed after two attempts. Error message:
## HTTP error 400.
## Removing NFLX.
## # 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
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.
Hint: Use echo and results in the chunk option. Note that this question only applies to the individual code chunk of Q6.