Publications by Jordyn Carpenter
Introduction to ggplot2
# Load packages library(tidyquant) library(tidyverse) # Import stock prices stock_prices <- tq_get(c("AAPL", "MSFT"), get = "stock.prices", from = "2020-01-01") stock_prices ## # A tibble: 70 x 8 ## symbol date open high low close volume adjusted ## <chr> <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 AAPL 2020...
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Clean data
Q1 select Keep the variables name, eye_color, and films. ## # A tibble: 87 x 3 ## name eye_color films ## <chr> <chr> <list> ## 1 Luke Skywalker blue <chr [5]> ## 2 C-3PO yellow <chr [6]> ## 3 R2-D2 red <chr [7]> ## 4 Darth Vader yellow <chr [4]>...
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Quiz 1
Use the given code below to answer the questions. ## Load package library(tidyverse) # for cleaning, plotting, etc library(tidyquant) # for financial analysis ## Import data stocks <- tq_get("AAPL", get = "stock.prices", from = "2016-01-01") stocks ## Visualize stocks %>% ggplot(aes(x = date, y = adjusted)) + geom_line() Q1 Import Netflix s...
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My First RMarkdown with Code
Use the given code below to answer the questions. Q1 Get Amazon stock prices, instead of Apple. ## # A tibble: 1,028 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 ...
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My First Publication
Q1 What is R? R is a coding language used primarily for statistics Q2 What is RStudio? RStudio is a program used to write, run, and save code written in R Q3 What is R packages? R packages are downloadable files to add more features to R’s base set of functions Q4 Add code ...
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Mock Quiz 1
Use the given code below to answer the questions. Q1 Get Walmart stock prices, instead of Apple. ## # A tibble: 1,029 x 7 ## date open high low close volume adjusted ## <date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ## 1 2016-01-04 60.5 61.5 60.4 61.5 11989200 55.7 ## 2 2016-01-05 62.0 63.0 61.8 62.9 1332600...
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Correlation
In this exercise you will learn to visualize the pairwise relationships between a set of quantitative variables. To this end, you will make your own note of 8.1 Correlation plots from Data Visualization with R. Q1 What factors have strong positve correlation with home price? Living Area and Bathrooms Q2 Continued from Q1: Does the strong correl...
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Quiz 1
# Load packages library(tidyquant) library(tidyverse) # for count() function # Import S&P500 Stock Index SP500 <- tq_index("SP500") SP500 ## # A tibble: 505 x 8 ## symbol company identifier sedol weight sector shares_held local_currency ## <chr> <chr> <chr> <chr> <dbl> <chr> <dbl> <chr> ## 1 AAP...
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Quiz 2
In this exercise, use Chapter 4.2 Quantitative vs. Quantitative Data Visualization with R. # Load packages library(tidyquant) library(tidyverse) # Import stock prices stock_prices <- tq_get(c("AAPL", "MSFT", "AMZN"), get = "stock.prices", from = "2020-01-01") # Calculate daily returns stock_returns <- stock_prices %>% group_by(...
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Quiz 4
Witht the given stock, conduct the Bollinger Bands analysis by answering the questions below. Q1 Calculate 20-day moving averages and 20-day running standard deviation. Save the result under stock and print it. Hint: Take stock, pipe it to tidyquant::tq_mutate to calculate 20-day moving averages, pipe it to tidyquant::tq_mutate to calculate 20-d...
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