butdplyrand the Tidyverse have provided tools that are easy to use, easy to read, and easy to remember. Whether you’readding a new column to a dataframe,creating substrings,filtering your dataframe, or performing some other critical data manipulation,dplyrand the Tidyverse almost always have th...
Part of the tidyverse suite of packages. Specify a default column type my_data <- read_csv('../my_data.csv', col_types = cols(.default = 'c', date = 'D')) Tell read_csv to import all columns as a character by default, except for the date field, which should be a date (...
portfolio_returns_tidydoes have a date column, accessed byportfolio_returns_tidy$date. A tibble does not need a date index and we could simply remove the date column and still have a tibble. That makes it a bit easier to understand, but it also means that many tibble-oriented fun...
This is a minor thing, but little details can make a difference. We’ll rename this for two minor reasons. First, I typically like to avoid capital letters in variable names and dataset names. Second, the name “Sacramento” is not very descriptive. Because of these two reasons, I’ll r...
symbols are separate columns. Additionally, to be used in prophet the data must have adscolumn for for the date and aycolumn for the time series being projected. The following code block will split into the pre-period and the prediction period as well as rename the GME series toyand da...