R Language for The Project Management Course — AUG University “part 1”

INTRODUCTION

This is a series of articles to clarify a part of the project management course which is about R language.

Whats is R Language?

R is a programing language used for statistical computing and graph represention.

What are the uses of R?

1. R is used in many fields like data science, machine learning, and data analysis.

What is the difference between R and excel?

1. Complex things in excel can be easy in R
2. R supports large datasets, unlike Excel, which is not suitable for processing large datasets.
3. There is a charge for genuine Excel, unlike R, which is free and open-source.

Input in R:

First, the vector is a list of items that are of the same type. We combine them in c function, for instance, here we create a vector called data that combines numerical type.

data <- c(1,2,3,4,5)

Note: we can combine any type of data inside the c() function.

Read from Excel:

We use the “readxl” package to import excel files. After preparing your excel file and installing the readxl package, follow these steps:

1. import the “readxl” package like this:

library("readxl")

2. specify the sheet

input <- read_execl("E:/data/example.xlsx", col_names= True, sheet = "sheet1")

"E:/data/example.xlsx" is the path of the sheet

sheet = "sheet1" is the name of the sheet

col_names = Ture means use the first row as col_names.

You can see part 2 from Here.

See you in the next part;)

Resources:

https://www.rdocumentation.org/packages/readxl/versions/0.1.1/topics/read_excel