ggplot2

ggplot2 is a package for creating beautiful graphs, based on the idea 'Grammar of Graphics'. Once we understand the fundamental structure of ggplot2 functions we can produce any graphical representation of data with ease.

dplyr

dplyr provides a grammar of data manipulation. The functions in dplyr are easy to understand, which are called verbs. Tasks like subsetting, filtering, grouping can be done using this package

tidyr

tidyr provides a set of functions that help you get to tidy data. Tidy data is data with a consistent form. It describes a standard way of storing data that is used wherever possible throughout the tidyverse.

readr

readr provides a fast and friendly way to read rectangular data (like csv, tsv, and fwf). It helps us parse a flat file into a tibble.

purrr

purrr enhances R's functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors. With purr's usage we can modify our code in more efficient way for writing loops and defining functions etc.

tibble

tibble is a modern re-imagining of the data frame, keeping what time has proven to be effective, and throwing out what it has not. Tibbles are data frames that are lazy and surly: they do less and complain more forcing you to confront problems earlier, typically leading to cleaner, more expressive code.

stringr

String manipulation is an important skill a data science enthusiast need to make use of data. stringr provides a cohesive set of functions designed to make working with strings as easy as possible.

forcats

R uses factors to handle categorical variables, variables that have a fixed and known set of possible values.Factors are also helpful for reordering character vectors to improve display. forcats gives us tools to solve common problems with factors.

The tidyverse also includes many other packages with more specialised usage such as

1. lubridate for handling date time
2. blob for storing binary data
3. hms for handling time durations