Provide Major Takeaways from chapter 1 in 50 words
Reproducible Finance is the philosophy of how to do quantitative, data science-driven analysis.Through this, data visualization is provided regarding the expression of the data that we expect to be interpreted. In order to properly express data clearly, steps must be taken to derive value. R package is a excellent visualizing tool, it encompasses numerous widgets for data processing and visualization. One of the main contributors to innovation on this platform is the access that is given to the work of thousands of other brilliant R users. The software has a lot of power to compress and refine available data. Within this power lies plenty of potential for the creation of interesting and applied code.
# Load Packages
library(tidyverse)
library(tidyquant)tq_index_options()## [1] "DOW" "DOWGLOBAL" "SP400" "SP500" "SP600"data <- tq_index("SP400")tq_exchange_options()## [1] "AMEX" "NASDAQ" "NYSE"data <- tq_exchange("NYSE")stock <- tq_get("TSLA")