Effective Data Wrangling and Exploration with R – Part II
This course will teach you all you need to know to manipulate string, date, and categorical data effectively in R. We shall make use of base R, the stringr package, the forcats package, the chron package and the lubridate packages in this course. This course is the second in a series of four courses dealing with data wrangling and exploration in R. The others are:
Importing and exporting data in R: which has to do with importing csv, tab, txt, xlsx and other file types into R
Effective Data frame manipulation in R: which involves using base R, the packages dplyr, tidyr, data.table, and sqldf to manipulate data frames
Effective Data cleaning and exploration
In this course, we are going to look at the following:
reading and writing raw text data
formatting strings
joining and splitting strings
subsetting strings
cleaning strings
performing set operations on strings
regex functions in both base R and stringr
performing regex operations
creating factors and ordered factors
factor attributes and structure
inspecting factors
manipulating factors
converting strings and numeric to factors and vice versa
the Date class
the POSIXt classes
the chron package
the lubridate package
creating dates and date-times from integers and strings
extracting date-time parts
getting the current date and date-time
performing date-time calculations
rounding datetimes
formatting datetimes
timespans: duration, periods, and interval
importing date-time columns
Hope you enjoy this course as we did developing it.
Effective Date, String & Categorical Data Manipulation in R
Effective Data Wrangling and Exploration with R – Part II”
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