Use the given code below to answer the questions.
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.
## # A tibble: 924 x 7
## date open high low close volume adjusted
## <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1 2016-01-04 103. 105. 102 105. 67649400 98.7
## 2 2016-01-05 106. 106. 102. 103. 55791000 96.3
## 3 2016-01-06 101. 102. 99.9 101. 68457400 94.4
## 4 2016-01-07 98.7 100. 96.4 96.4 81094400 90.4
## 5 2016-01-08 98.6 99.1 96.8 97.0 70798000 90.9
## 6 2016-01-11 99.0 99.1 97.3 98.5 49739400 92.4
## 7 2016-01-12 101. 101. 98.8 100.0 49154200 93.7
## 8 2016-01-13 100. 101. 97.3 97.4 62439600 91.3
## 9 2016-01-14 98.0 100. 95.7 99.5 63170100 93.3
## 10 2016-01-15 96.2 97.7 95.4 97.1 79833900 91.0
## # … with 914 more rows
There are seven columns.
Open and High stayed the same at 106. Low was at 102 and close at 103. Volume was at 55791000. Lastly, adjusted at 96.3.
Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.
Numerical data, true or false and character data.
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.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.
Hint: Use eval in the chunk option. Refer to the RMarkdown Reference Guide.