R-for-Data-Science-dates-and-times

Source code in support of the LinkedIn Learning course "R Programming in Data Science: Dates and Times"

Introduction
	Calculating Times and Dates with R	Learn why Dates and Times are important concepts in data science.
1. Why are Dates and Times in R Confusing?
	Typical date calculations	Learn how to recognize when to use date and time operators
	How dates and times are stored in R	Learn what the Date object contains and how this is useful.
	Choose the right Date and Time tool	Learn how to select the best date or time tool for a particular application.
2. Dates and Times in Base R
	The Base R "Date" Class	Base R provides a small set of functions and classes for dates and times, but how can they be used to best advantage? Gain an understanding of tools available in Base R for the manipulation of Times and Dates.
	Use formatters to recognize dates in character strings	Learn how to specify the position of years, months, days, hours, minutes, and seconds.
	Dealing with timezones and daylight savings time	Learn about using the tz parameter in the as.POSIXct( ) function.
	Use operators to compare date objects	Learn how to determine if one time is greater-than, less-than, or equal to another date or time.
	Adding and Subtracting Dates and Times	Learn how to use difftime to store the interval between two dates.
	Create sequences of dates, cut dates, and round dates	Learn about seq.Date(), cut.Date(), and round.Date()
	Extract parts of a date	Learn how to obtain the hour, minutes, and more from a Date object.
	Presenting formatted dates and times	We talk about dates in different ways, randomly mixing day of the month, month name, day of the week and everything else. R provides configurable tools to express this in whatever way necessary.
	use read.csv() to import csv date information	Learn how to use colClasses = Date for POSIXct and POSIXlt.
3. Lubridate and the Tidyverse
	Advantages of the Lubridate package	Learn how lubridate combines several date functions in a coherent flow.
	Parsing date and time with Lubridate	Learn about ymd_hms(), today(), now() and other functions.
	Getting and Setting time components with Lubridate	Learn about date(), year(), and other functions that set parts of a date.
	Rounding dates and time with lubridate	Learn how to use floor, round, and ceiling to manipulate dates.
	Lubridate math with durations	Recording time requires a way to record how long an event takes, regardless of when it starts or stops. For this, Lubridate provides durations
	Lubridate math with periods	Time marches on, but human time starts and stops. The calendar doesn't accurately line up with leap years and the phase of the moon. For this, lubridate provides periods.
	Lubridate math with intervals	Some time intervals start and stop at certain times - my current age, for example. For this, lubridate provides the interval class.
	Time zones with Lubridate	Learn how to use UTC and other time zone names to adjust time to a locale.
4. Dates and Times for Business and Finance
	The "busdater" package	Learn how to get a current financial year, start and end of current month, or start and end of financial year.
	The "businessDuration" package	Learn how to calculate business duration between two dates.
	The "fmdates" package	Learn how to check if dates are business days in certain locales and adjust date calculations.
5. Working with time-series data
	Time-series data	Learn three key differences between the two types of data.
	The base R "ts" class	Learn how to create time-series data, manipulate it, and plot it.
	The "zoo" package	Learn how the zoo package is unique and when to use it.
	The "xts" package	Learn about subsetting a dataframe by date.
	The "tsibble" and "tibbletime" packages	Learn how this tidyverse object provides time-based subsetting, aggregating by time, and time groups.
	Tme series rolling statistics	Learn about moving averages, trend analysis, ARMA and ARIMA
	Time series graphics	Learn how to use plot.ts, plot.xts, and plot.zoo.
	The "timelineR" package	Learn how to use plot-timeline() to easily create timelines of time-series data.
	The "timelineS" package	Learn to use timelineG() and timelineS() to plot advanced graphs of time-series data.
	The CRAN Task View for Time Series Analysis	Learn where to find tutorials, examples, and resources for working with Time-Series data.
6. Specialized Date and Time packages
	The "anytime" package	Learn when anytime is the best tool for date time conversion into POSIXct.
	The "hms" package	Learn how to use parse_hms() to create difftime objects from character vectors.
	The "mondate" package	Learn how to use mondate to calculate dates in terms of months
	The "datetime" package	Learn how datetime provides simplified handling of date time conversion.
	The "datetimeutils" package	Learn how to use datetimeutils to select days of the week, format timestamps for RSS, and convert dates to MATLAB and Excel.
	The "padr" package	Learn how to deal with time-series over-plotting and missing data.
Conclusion
	Next steps