filter Select stock returns of January 31, 2020.In this exercise you will learn to plot data using the ggplot2 package. To answer the questions below, use Chapter 4.3 Categorical vs. Quantitative Data Visualization with R.
## # A tibble: 120 x 9
## # Groups: symbol [3]
## symbol date open high low close volume adjusted daily.returns
## <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 WMT 2020-01-02 119. 120. 119. 119. 6764900 119. 0
## 2 WMT 2020-01-03 118. 119. 118. 118. 5399200 118. -0.00883
## 3 WMT 2020-01-06 117. 118. 117. 118. 6445500 118. -0.00204
## 4 WMT 2020-01-07 117. 118. 116. 117. 6846900 117. -0.00926
## 5 WMT 2020-01-08 116. 117. 116. 116. 5875800 116. -0.00343
## 6 WMT 2020-01-09 116. 117. 116. 117. 5563700 117. 0.0103
## 7 WMT 2020-01-10 117. 117. 116. 116. 6054800 116. -0.00835
## 8 WMT 2020-01-13 116. 117. 115. 116. 6112600 116. -0.00430
## 9 WMT 2020-01-14 115. 116. 115. 116. 6585800 116. 0.00259
## 10 WMT 2020-01-15 115. 116. 115. 115. 7454200 115. -0.00775
## # … with 110 more rows
filter Select stock returns of January 31, 2020.Hint: See the code in 1.2.2 Selecting observations.
Hint: Answer the question by comparing daily returns of each stock on January 31, 2020. WMT peformed the best on the 31st because they had to smallest loss on daily returns.
Hint: See the code in 4.3.3 Box plots. Add an appropriate title and labels for both axes.
Hint: Answer the question by comparing median and outliers of each stock. Amazon had the best daily return average so that stock performed the best.
Hint: See the code in 4.3.1 Bar chart (on summary statistics).
## # A tibble: 3 x 2
## symbol mean_returns
## <chr> <dbl>
## 1 AMZN -0.0000139
## 2 TGT -0.00475
## 3 WMT -0.00243
Hint: See the code in 4.3.1 Bar chart (on summary statistics). Add an appropriate title and labels for both axes.
Hint: Google search something like “ggplot2 multiple lines”.
Note: This is an extra credit question worth 10 points. However, the total number of points you could earn for this quiz is capped at 100 points. In other words, the extra credit can only offset any one question you missed in the first seven questions.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.