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 columns
On January 5th, 2016, opening market for Amazon started at $647.00 which was also the highest it reached. The lowest it got was $628.00 and closed at $634.00. The adjusted price was $634.00.
The type of data is numerical. Other basic data types are logical, and character.
In the beginning of 2019, adjusted prices were below $1,500.00 and as of right now is just about $1,750.00. The highest adjusted price it reached so far was a little over $2,000.00. The lowest it has reached was at the beginning of 2019 which was also the opening price.