Use the given code below to answer the questions.
## # 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
Second day stocks went down
The type of data is numeric 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.
Amazon stock prices have been both, rising and fallling since the beginning of 2019
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.