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.
## Load package
library(tidyverse) # for cleaning, plotting, etc
library(tidyquant) # for financial analysis
## Import Data
stocks <- tq_get("AMZN", get = "stock.prices", from = "2016-01-01")
stocks
## # A tibble: 1,044 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 1,034 more rows
There are 7 variables
There are 7 variables which are: Date, open, high, low, close, volume, and adjusted
Hint: Watch the video, “Basic Data Types”, in DataCamp: Introduction to R for Finance: Ch1 The Basics.
This data is numeric data. The other basic types are: Numeric, Character, and Logical
There are 10 Rows visible with 1,013 more rows available
The rows represent the daily stock prices
Hint: Insert a new code chunk below and type in the code, using the ggplot() function above. For more information on the ggplot() function, refer to Ch2 Introduction to ggplot2 in one of our e-textbooks, Data Visualization with R.
## Visualize
stocks %>%
ggplot(aes(x = date, y = close)) +
geom_line()
Hint: Change message, warning, collapse, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.