Build a LM, Interpret the weights, and CI for statistical significance

Route map to create Web application using R shiny and Shiny dashboard

This notes attempts to provide an outline to create visualizations using plotly package in R

Describes methods for handling missing observations in data using R

A quick guide for important functions in the dplyr package

Basics to understand random variable and different types of parameter

Describing basics of visualization techniques using ggplot in R

This document contains assignments given to Thinklabz Chennai students

Fundamental concepts in programming is discussed here

This notes discusses important tools to handle date and time information in R

Some important methods of obtaining tidy data using tidyr are discussed in the notes

Introduction to important verbs in dplyr.

Introduction to ggplot2 with example to explore options available in it

A short note about Tidyverse

Provides a foundation to data types and objects in R

A brief introduction to buit-in R functions using some examples

Brief introduction to R and RStudio

Brief introduction about R packages and tasks that can be performed using them

Operations that are possible with string data using R.