R for data Analysis

                Welcome to the blog where I will tell you how everything works in analysis using R,

It is just an overview but you will come to know relation between R and data analysis. This blog will also make you fearless to start with R. So let's start,

R is a programming language we all know this, but you will be glad to know it is language which is specially made to analyze the data. The thing is from where to start right ?

First see benefits of using R:

1. It is easy to learn language even if you have no coding or technical background.

2. It is like super-market where you will find every tool for analysis.

3. It is one stop solution where we analyze data, make visualization and create documentation.

4. It is open source or free to use.

5. Strong community make it easy to find solutions if you stuck somewhere.


Ok, Ok starting how to start and how everything works,

first you will go online online to R studio cloud or you can download offline app too, but I recommend online for beginners, then we will start our first project. 

Here we will install package named  'tidyverse' and it's powerful enough to prepare, process, analyze and visualize the data. There are libraries named as :

readr - to import data from outer sources

dplyr - for data manipulation

tidyr - to clean the data 

ggplot2 - to create data visualizations

that's it, it's more than enough to start with.


One more note: It also has inbuilt datasets which you can use to practice for sharpening your skills of data analysis in R.

Thankyou so much for reading,

email me at "romi.tahkur001@gmail.com"

for more information, suggestions, learn data analysis or projects. 


 

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