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 2016-01-04 656. 658. 628. 637. 9314500 637.
## 2 2016-01-05 647. 647. 628. 634. 5822600 634.
## 3 2016-01-06 622 640. 620. 633. 5329200 633.
## 4 2016-01-07 622. 630 605. 608. 7074900 608.
## 5 2016-01-08 620. 624. 606 607. 5512900 607.
## 6 2016-01-11 612. 620. 599. 618. 4891600 618.
## 7 2016-01-12 625. 626. 612. 618. 4724100 618.
## 8 2016-01-13 621. 621. 579. 582. 7655200 582.
## 9 2016-01-14 580. 602. 570. 593 7238000 593
## 10 2016-01-15 572. 585. 565. 570. 7784500 570.
## # … with 914 more rows
7 variables (columns)
date, open, high, low, close, volume, adjusted
Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.
They are numeric data, meaning they are numbers and not characters. Other basic types of data are character data and logical 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.
Since early 2019, it seems as if the stock in Amazon has once increased all the way up to its peak, similar to its value in the middle of 2018
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.